diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh index cc8eb552b0..93ecac48f2 100755 --- a/.devcontainer/post_create_command.sh +++ b/.devcontainer/post_create_command.sh @@ -1,12 +1,13 @@ #!/bin/bash -npm add -g pnpm@10.8.0 +npm add -g pnpm@10.11.1 cd web && pnpm install pipx install uv echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc +echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.bashrc echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index b4a6eb9adb..f4a5f754e0 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -1,25 +1,23 @@ -# Summary +> [!IMPORTANT] +> +> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) +> 2. Ensure there is an associated issue and you have been assigned to it +> 3. Use the correct syntax to link this PR: `Fixes #`. -Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. +## Summary -> [!Tip] -> Close issue syntax: `Fixes #` or `Resolves #`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details. + - -# Screenshots +## Screenshots | Before | After | |--------|-------| | ... | ... | -# Checklist - -> [!IMPORTANT] -> Please review the checklist below before submitting your pull request. +## Checklist - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs) - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!) - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change. - [x] I've updated the documentation accordingly. - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods - diff --git a/.github/workflows/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml index 3f8082eb69..c79d58563f 100644 --- a/.github/workflows/translate-i18n-base-on-english.yml +++ b/.github/workflows/translate-i18n-base-on-english.yml @@ -31,11 +31,19 @@ jobs: echo "FILES_CHANGED=false" >> $GITHUB_ENV fi + - name: Install pnpm + uses: pnpm/action-setup@v4 + with: + version: 10 + run_install: false + - name: Set up Node.js if: env.FILES_CHANGED == 'true' uses: actions/setup-node@v4 with: node-version: 'lts/*' + cache: pnpm + cache-dependency-path: ./web/package.json - name: Install dependencies if: env.FILES_CHANGED == 'true' diff --git a/.gitignore b/.gitignore index 8818ab6f65..74a9ef63ef 100644 --- a/.gitignore +++ b/.gitignore @@ -192,12 +192,12 @@ sdks/python-client/dist sdks/python-client/dify_client.egg-info .vscode/* -!.vscode/launch.json +!.vscode/launch.json.template +!.vscode/README.md pyrightconfig.json api/.vscode .idea/ -.vscode # pnpm /.pnpm-store @@ -207,3 +207,6 @@ plugins.jsonl # mise mise.toml + +# Next.js build output +.next/ diff --git a/.vscode/README.md b/.vscode/README.md new file mode 100644 index 0000000000..26516f0540 --- /dev/null +++ b/.vscode/README.md @@ -0,0 +1,14 @@ +# Debugging with VS Code + +This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory. + +## How to Use + +1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory. +2. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file. +3. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D). +4. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button. + +## Tips + +- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging. diff --git a/.vscode/launch.json.template b/.vscode/launch.json.template new file mode 100644 index 0000000000..f5a7f0893b --- /dev/null +++ b/.vscode/launch.json.template @@ -0,0 +1,68 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Flask API", + "type": "debugpy", + "request": "launch", + "module": "flask", + "env": { + "FLASK_APP": "app.py", + "FLASK_ENV": "development", + "GEVENT_SUPPORT": "True" + }, + "args": [ + "run", + "--host=0.0.0.0", + "--port=5001", + "--no-debugger", + "--no-reload" + ], + "jinja": true, + "justMyCode": true, + "cwd": "${workspaceFolder}/api", + "python": "${workspaceFolder}/api/.venv/bin/python" + }, + { + "name": "Python: Celery Worker (Solo)", + "type": "debugpy", + "request": "launch", + "module": "celery", + "env": { + "GEVENT_SUPPORT": "True" + }, + "args": [ + "-A", + "app.celery", + "worker", + "-P", + "solo", + "-c", + "1", + "-Q", + "dataset,generation,mail,ops_trace", + "--loglevel", + "INFO" + ], + "justMyCode": false, + "cwd": "${workspaceFolder}/api", + "python": "${workspaceFolder}/api/.venv/bin/python" + }, + { + "name": "Next.js: debug full stack", + "type": "node", + "request": "launch", + "program": "${workspaceFolder}/web/node_modules/next/dist/bin/next", + "runtimeArgs": ["--inspect"], + "skipFiles": ["/**"], + "serverReadyAction": { + "action": "debugWithChrome", + "killOnServerStop": true, + "pattern": "- Local:.+(https?://.+)", + "uriFormat": "%s", + "webRoot": "${workspaceFolder}/web" + }, + "cwd": "${workspaceFolder}/web" + } + ] +} diff --git a/README.md b/README.md index ef654ced1e..ca09adec08 100644 --- a/README.md +++ b/README.md @@ -235,7 +235,7 @@ At the same time, please consider supporting Dify by sharing it on social media ## Community & contact -- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions. +- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions. - [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). - [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community. - [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community. diff --git a/README_AR.md b/README_AR.md index 1310a9d802..df288fd33c 100644 --- a/README_AR.md +++ b/README_AR.md @@ -223,7 +223,7 @@ docker compose up -d ## المجتمع والاتصال -- [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة. +- [مناقشة GitHub](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة. - [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). - [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. - [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. diff --git a/README_BN.md b/README_BN.md index be1f8cc72e..4a5b5f3928 100644 --- a/README_BN.md +++ b/README_BN.md @@ -234,7 +234,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন ## কমিউনিটি এবং যোগাযোগ -- [Github Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম। +- [GitHub Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম। - [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন। - [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। - [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। diff --git a/README_CN.md b/README_CN.md index 1d4d51e856..ba7ee0006d 100644 --- a/README_CN.md +++ b/README_CN.md @@ -243,7 +243,7 @@ docker compose up -d 我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。 -- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。 +- [GitHub Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。 - [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。 - [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。 - [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。 diff --git a/README_DE.md b/README_DE.md index 7cc2710fde..f6023a3935 100644 --- a/README_DE.md +++ b/README_DE.md @@ -230,7 +230,7 @@ Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide]( ## Gemeinschaft & Kontakt -* [Github Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen. +* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen. * [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). * [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community. * [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community. diff --git a/README_JA.md b/README_JA.md index be5d8644e0..26703f3958 100644 --- a/README_JA.md +++ b/README_JA.md @@ -236,7 +236,7 @@ docker compose up -d ## コミュニティ & お問い合わせ -* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。 +* [GitHub Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。 * [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください * [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。 * [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。 diff --git a/README_KL.md b/README_KL.md index 3ebd756929..ea91baa5aa 100644 --- a/README_KL.md +++ b/README_KL.md @@ -235,7 +235,7 @@ At the same time, please consider supporting Dify by sharing it on social media ## Community & Contact -* [Github Discussion](https://github.com/langgenius/dify/discussions +* [GitHub Discussion](https://github.com/langgenius/dify/discussions ). Best for: sharing feedback and asking questions. * [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). diff --git a/README_KR.md b/README_KR.md index ecbe2f6b74..89301e8b2c 100644 --- a/README_KR.md +++ b/README_KR.md @@ -229,7 +229,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했 ## 커뮤니티 & 연락처 -* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다. +* [GitHub 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다. * [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. * [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다. * [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다. diff --git a/README_SI.md b/README_SI.md index 45aec75dcd..14de1ea792 100644 --- a/README_SI.md +++ b/README_SI.md @@ -229,7 +229,7 @@ Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkra ## Skupnost in stik -* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj. +* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj. * [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). * [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo. * [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo. diff --git a/README_TR.md b/README_TR.md index 94ab6ee338..563a05af3c 100644 --- a/README_TR.md +++ b/README_TR.md @@ -227,7 +227,7 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p ## Topluluk & iletişim -* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için. +* [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için. * [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın. * [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için. * [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için. diff --git a/README_TW.md b/README_TW.md index c252292e44..f4a76ac109 100644 --- a/README_TW.md +++ b/README_TW.md @@ -233,7 +233,7 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify ## 社群與聯絡方式 -- [Github Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。 +- [GitHub Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。 - [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。 - [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。 - [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。 diff --git a/api/.env.example b/api/.env.example index 9dec564c28..7878308588 100644 --- a/api/.env.example +++ b/api/.env.example @@ -152,6 +152,7 @@ QDRANT_API_KEY=difyai123456 QDRANT_CLIENT_TIMEOUT=20 QDRANT_GRPC_ENABLED=false QDRANT_GRPC_PORT=6334 +QDRANT_REPLICATION_FACTOR=1 #Couchbase configuration COUCHBASE_CONNECTION_STRING=127.0.0.1 @@ -269,6 +270,7 @@ OPENSEARCH_PORT=9200 OPENSEARCH_USER=admin OPENSEARCH_PASSWORD=admin OPENSEARCH_SECURE=true +OPENSEARCH_VERIFY_CERTS=true # Baidu configuration BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287 @@ -489,3 +491,10 @@ OTEL_METRIC_EXPORT_TIMEOUT=30000 # Prevent Clickjacking ALLOW_EMBED=false + +# Dataset queue monitor configuration +QUEUE_MONITOR_THRESHOLD=200 +# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai +QUEUE_MONITOR_ALERT_EMAILS= +# Monitor interval in minutes, default is 30 minutes +QUEUE_MONITOR_INTERVAL=30 diff --git a/api/commands.py b/api/commands.py index 66278a53a3..6262bfde6b 100644 --- a/api/commands.py +++ b/api/commands.py @@ -846,6 +846,9 @@ def clear_orphaned_file_records(force: bool): {"type": "text", "table": "workflow_node_executions", "column": "outputs"}, {"type": "text", "table": "conversations", "column": "introduction"}, {"type": "text", "table": "conversations", "column": "system_instruction"}, + {"type": "text", "table": "accounts", "column": "avatar"}, + {"type": "text", "table": "apps", "column": "icon"}, + {"type": "text", "table": "sites", "column": "icon"}, {"type": "json", "table": "messages", "column": "inputs"}, {"type": "json", "table": "messages", "column": "message"}, ] diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 1b015b3267..2dcf1710b0 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -2,7 +2,7 @@ import os from typing import Any, Literal, Optional from urllib.parse import parse_qsl, quote_plus -from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field +from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field from pydantic_settings import BaseSettings from .cache.redis_config import RedisConfig @@ -256,6 +256,25 @@ class InternalTestConfig(BaseSettings): ) +class DatasetQueueMonitorConfig(BaseSettings): + """ + Configuration settings for Dataset Queue Monitor + """ + + QUEUE_MONITOR_THRESHOLD: Optional[NonNegativeInt] = Field( + description="Threshold for dataset queue monitor", + default=200, + ) + QUEUE_MONITOR_ALERT_EMAILS: Optional[str] = Field( + description="Emails for dataset queue monitor alert, separated by commas", + default=None, + ) + QUEUE_MONITOR_INTERVAL: Optional[NonNegativeFloat] = Field( + description="Interval for dataset queue monitor in minutes", + default=30, + ) + + class MiddlewareConfig( # place the configs in alphabet order CeleryConfig, @@ -303,5 +322,6 @@ class MiddlewareConfig( BaiduVectorDBConfig, OpenGaussConfig, TableStoreConfig, + DatasetQueueMonitorConfig, ): pass diff --git a/api/configs/middleware/storage/amazon_s3_storage_config.py b/api/configs/middleware/storage/amazon_s3_storage_config.py index f2d94b12ff..e14c210718 100644 --- a/api/configs/middleware/storage/amazon_s3_storage_config.py +++ b/api/configs/middleware/storage/amazon_s3_storage_config.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Literal, Optional from pydantic import Field from pydantic_settings import BaseSettings @@ -34,7 +34,7 @@ class S3StorageConfig(BaseSettings): default=None, ) - S3_ADDRESS_STYLE: str = Field( + S3_ADDRESS_STYLE: Literal["auto", "virtual", "path"] = Field( description="S3 addressing style: 'auto', 'path', or 'virtual'", default="auto", ) diff --git a/api/configs/middleware/vdb/opensearch_config.py b/api/configs/middleware/vdb/opensearch_config.py index 96f478e9a6..9fd9b60194 100644 --- a/api/configs/middleware/vdb/opensearch_config.py +++ b/api/configs/middleware/vdb/opensearch_config.py @@ -33,6 +33,11 @@ class OpenSearchConfig(BaseSettings): default=False, ) + OPENSEARCH_VERIFY_CERTS: bool = Field( + description="Whether to verify SSL certificates for HTTPS connections (recommended to set True in production)", + default=True, + ) + OPENSEARCH_AUTH_METHOD: AuthMethod = Field( description="Authentication method for OpenSearch connection (default is 'basic')", default=AuthMethod.BASIC, diff --git a/api/configs/middleware/vdb/qdrant_config.py b/api/configs/middleware/vdb/qdrant_config.py index b70f624652..0a753eddec 100644 --- a/api/configs/middleware/vdb/qdrant_config.py +++ b/api/configs/middleware/vdb/qdrant_config.py @@ -33,3 +33,8 @@ class QdrantConfig(BaseSettings): description="Port number for gRPC connection to Qdrant server (default is 6334)", default=6334, ) + + QDRANT_REPLICATION_FACTOR: PositiveInt = Field( + description="Replication factor for Qdrant collections (default is 1)", + default=1, + ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index de13018f37..ae4875d591 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="1.4.0", + default="1.4.1", ) COMMIT_SHA: str = Field( diff --git a/api/configs/remote_settings_sources/nacos/http_request.py b/api/configs/remote_settings_sources/nacos/http_request.py index 2785bd955b..9b3359c6ad 100644 --- a/api/configs/remote_settings_sources/nacos/http_request.py +++ b/api/configs/remote_settings_sources/nacos/http_request.py @@ -60,8 +60,7 @@ class NacosHttpClient: sign_str = tenant + "+" if group: sign_str = sign_str + group + "+" - if sign_str: - sign_str += ts + sign_str += ts # Directly concatenate ts without conditional checks, because the nacos auth header forced it. return sign_str def get_access_token(self, force_refresh=False): diff --git a/api/contexts/__init__.py b/api/contexts/__init__.py index 127b8fe76d..ae41a2c03a 100644 --- a/api/contexts/__init__.py +++ b/api/contexts/__init__.py @@ -11,10 +11,6 @@ if TYPE_CHECKING: from core.workflow.entities.variable_pool import VariablePool -tenant_id: ContextVar[str] = ContextVar("tenant_id") - -workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool") - """ To avoid race-conditions caused by gunicorn thread recycling, using RecyclableContextVar to replace with """ diff --git a/api/controllers/console/app/workflow_app_log.py b/api/controllers/console/app/workflow_app_log.py index c475aea9fc..b9579e2120 100644 --- a/api/controllers/console/app/workflow_app_log.py +++ b/api/controllers/console/app/workflow_app_log.py @@ -6,12 +6,12 @@ from sqlalchemy.orm import Session from controllers.console import api from controllers.console.app.wraps import get_app_model from controllers.console.wraps import account_initialization_required, setup_required +from core.workflow.entities.workflow_execution import WorkflowExecutionStatus from extensions.ext_database import db from fields.workflow_app_log_fields import workflow_app_log_pagination_fields from libs.login import login_required from models import App from models.model import AppMode -from models.workflow import WorkflowRunStatus from services.workflow_app_service import WorkflowAppService @@ -38,7 +38,7 @@ class WorkflowAppLogApi(Resource): parser.add_argument("limit", type=int_range(1, 100), default=20, location="args") args = parser.parse_args() - args.status = WorkflowRunStatus(args.status) if args.status else None + args.status = WorkflowExecutionStatus(args.status) if args.status else None if args.created_at__before: args.created_at__before = isoparse(args.created_at__before) diff --git a/api/controllers/console/auth/login.py b/api/controllers/console/auth/login.py index 86231bf616..5f2a24322d 100644 --- a/api/controllers/console/auth/login.py +++ b/api/controllers/console/auth/login.py @@ -202,18 +202,18 @@ class EmailCodeLoginApi(Resource): except AccountRegisterError as are: raise AccountInFreezeError() if account: - tenant = TenantService.get_join_tenants(account) - if not tenant: + tenants = TenantService.get_join_tenants(account) + if not tenants: workspaces = FeatureService.get_system_features().license.workspaces if not workspaces.is_available(): raise WorkspacesLimitExceeded() if not FeatureService.get_system_features().is_allow_create_workspace: raise NotAllowedCreateWorkspace() else: - tenant = TenantService.create_tenant(f"{account.name}'s Workspace") - TenantService.create_tenant_member(tenant, account, role="owner") - account.current_tenant = tenant - tenant_was_created.send(tenant) + new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace") + TenantService.create_tenant_member(new_tenant, account, role="owner") + account.current_tenant = new_tenant + tenant_was_created.send(new_tenant) if account is None: try: diff --git a/api/controllers/console/auth/oauth.py b/api/controllers/console/auth/oauth.py index f5284cc43b..395367c9e2 100644 --- a/api/controllers/console/auth/oauth.py +++ b/api/controllers/console/auth/oauth.py @@ -148,15 +148,15 @@ def _generate_account(provider: str, user_info: OAuthUserInfo): account = _get_account_by_openid_or_email(provider, user_info) if account: - tenant = TenantService.get_join_tenants(account) - if not tenant: + tenants = TenantService.get_join_tenants(account) + if not tenants: if not FeatureService.get_system_features().is_allow_create_workspace: raise WorkSpaceNotAllowedCreateError() else: - tenant = TenantService.create_tenant(f"{account.name}'s Workspace") - TenantService.create_tenant_member(tenant, account, role="owner") - account.current_tenant = tenant - tenant_was_created.send(tenant) + new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace") + TenantService.create_tenant_member(new_tenant, account, role="owner") + account.current_tenant = new_tenant + tenant_was_created.send(new_tenant) if not account: if not FeatureService.get_system_features().is_allow_register: diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 981619b0cb..e68273afa6 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -540,9 +540,22 @@ class DatasetIndexingStatusApi(Resource): .filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment") .count() ) - document.completed_segments = completed_segments - document.total_segments = total_segments - documents_status.append(marshal(document, document_status_fields)) + # Create a dictionary with document attributes and additional fields + document_dict = { + "id": document.id, + "indexing_status": document.indexing_status, + "processing_started_at": document.processing_started_at, + "parsing_completed_at": document.parsing_completed_at, + "cleaning_completed_at": document.cleaning_completed_at, + "splitting_completed_at": document.splitting_completed_at, + "completed_at": document.completed_at, + "paused_at": document.paused_at, + "error": document.error, + "stopped_at": document.stopped_at, + "completed_segments": completed_segments, + "total_segments": total_segments, + } + documents_status.append(marshal(document_dict, document_status_fields)) data = {"data": documents_status} return data diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index ca18c25e74..f7c04102a9 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -583,11 +583,22 @@ class DocumentBatchIndexingStatusApi(DocumentResource): .filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment") .count() ) - document.completed_segments = completed_segments - document.total_segments = total_segments - if document.is_paused: - document.indexing_status = "paused" - documents_status.append(marshal(document, document_status_fields)) + # Create a dictionary with document attributes and additional fields + document_dict = { + "id": document.id, + "indexing_status": "paused" if document.is_paused else document.indexing_status, + "processing_started_at": document.processing_started_at, + "parsing_completed_at": document.parsing_completed_at, + "cleaning_completed_at": document.cleaning_completed_at, + "splitting_completed_at": document.splitting_completed_at, + "completed_at": document.completed_at, + "paused_at": document.paused_at, + "error": document.error, + "stopped_at": document.stopped_at, + "completed_segments": completed_segments, + "total_segments": total_segments, + } + documents_status.append(marshal(document_dict, document_status_fields)) data = {"data": documents_status} return data @@ -616,11 +627,22 @@ class DocumentIndexingStatusApi(DocumentResource): .count() ) - document.completed_segments = completed_segments - document.total_segments = total_segments - if document.is_paused: - document.indexing_status = "paused" - return marshal(document, document_status_fields) + # Create a dictionary with document attributes and additional fields + document_dict = { + "id": document.id, + "indexing_status": "paused" if document.is_paused else document.indexing_status, + "processing_started_at": document.processing_started_at, + "parsing_completed_at": document.parsing_completed_at, + "cleaning_completed_at": document.cleaning_completed_at, + "splitting_completed_at": document.splitting_completed_at, + "completed_at": document.completed_at, + "paused_at": document.paused_at, + "error": document.error, + "stopped_at": document.stopped_at, + "completed_segments": completed_segments, + "total_segments": total_segments, + } + return marshal(document_dict, document_status_fields) class DocumentDetailApi(DocumentResource): diff --git a/api/controllers/console/workspace/plugin.py b/api/controllers/console/workspace/plugin.py index fda5a7d3bb..9bddbb4b4b 100644 --- a/api/controllers/console/workspace/plugin.py +++ b/api/controllers/console/workspace/plugin.py @@ -41,12 +41,16 @@ class PluginListApi(Resource): @account_initialization_required def get(self): tenant_id = current_user.current_tenant_id + parser = reqparse.RequestParser() + parser.add_argument("page", type=int, required=False, location="args", default=1) + parser.add_argument("page_size", type=int, required=False, location="args", default=256) + args = parser.parse_args() try: - plugins = PluginService.list(tenant_id) + plugins_with_total = PluginService.list_with_total(tenant_id, args["page"], args["page_size"]) except PluginDaemonClientSideError as e: raise ValueError(e) - return jsonable_encoder({"plugins": plugins}) + return jsonable_encoder({"plugins": plugins_with_total.list, "total": plugins_with_total.total}) class PluginListLatestVersionsApi(Resource): diff --git a/api/controllers/console/workspace/workspace.py b/api/controllers/console/workspace/workspace.py index 34af80bca7..19999e7361 100644 --- a/api/controllers/console/workspace/workspace.py +++ b/api/controllers/console/workspace/workspace.py @@ -68,16 +68,24 @@ class TenantListApi(Resource): @account_initialization_required def get(self): tenants = TenantService.get_join_tenants(current_user) + tenant_dicts = [] for tenant in tenants: features = FeatureService.get_features(tenant.id) - if features.billing.enabled: - tenant.plan = features.billing.subscription.plan - else: - tenant.plan = "sandbox" - if tenant.id == current_user.current_tenant_id: - tenant.current = True # Set current=True for current tenant - return {"workspaces": marshal(tenants, tenants_fields)}, 200 + + # Create a dictionary with tenant attributes + tenant_dict = { + "id": tenant.id, + "name": tenant.name, + "status": tenant.status, + "created_at": tenant.created_at, + "plan": features.billing.subscription.plan if features.billing.enabled else "sandbox", + "current": tenant.id == current_user.current_tenant_id, + } + + tenant_dicts.append(tenant_dict) + + return {"workspaces": marshal(tenant_dicts, tenants_fields)}, 200 class WorkspaceListApi(Resource): diff --git a/api/controllers/files/upload.py b/api/controllers/files/upload.py index 6641632169..f1a15793c7 100644 --- a/api/controllers/files/upload.py +++ b/api/controllers/files/upload.py @@ -64,9 +64,24 @@ class PluginUploadFileApi(Resource): extension = guess_extension(tool_file.mimetype) or ".bin" preview_url = ToolFileManager.sign_file(tool_file_id=tool_file.id, extension=extension) - tool_file.mime_type = mimetype - tool_file.extension = extension - tool_file.preview_url = preview_url + + # Create a dictionary with all the necessary attributes + result = { + "id": tool_file.id, + "user_id": tool_file.user_id, + "tenant_id": tool_file.tenant_id, + "conversation_id": tool_file.conversation_id, + "file_key": tool_file.file_key, + "mimetype": tool_file.mimetype, + "original_url": tool_file.original_url, + "name": tool_file.name, + "size": tool_file.size, + "mime_type": mimetype, + "extension": extension, + "preview_url": preview_url, + } + + return result, 201 except services.errors.file.FileTooLargeError as file_too_large_error: raise FileTooLargeError(file_too_large_error.description) except services.errors.file.UnsupportedFileTypeError: diff --git a/api/controllers/inner_api/plugin/wraps.py b/api/controllers/inner_api/plugin/wraps.py index 709bba3f30..b2849a7962 100644 --- a/api/controllers/inner_api/plugin/wraps.py +++ b/api/controllers/inner_api/plugin/wraps.py @@ -2,12 +2,14 @@ from collections.abc import Callable from functools import wraps from typing import Optional -from flask import request +from flask import current_app, request +from flask_login import user_logged_in from flask_restful import reqparse from pydantic import BaseModel from sqlalchemy.orm import Session from extensions.ext_database import db +from libs.login import _get_user from models.account import Account, Tenant from models.model import EndUser from services.account_service import AccountService @@ -80,7 +82,12 @@ def get_user_tenant(view: Optional[Callable] = None): raise ValueError("tenant not found") kwargs["tenant_model"] = tenant_model - kwargs["user_model"] = get_user(tenant_id, user_id) + + user = get_user(tenant_id, user_id) + kwargs["user_model"] = user + + current_app.login_manager._update_request_context_with_user(user) # type: ignore + user_logged_in.send(current_app._get_current_object(), user=_get_user()) # type: ignore return view_func(*args, **kwargs) diff --git a/api/controllers/service_api/app/annotation.py b/api/controllers/service_api/app/annotation.py index bd1a23b723..595ae118ef 100644 --- a/api/controllers/service_api/app/annotation.py +++ b/api/controllers/service_api/app/annotation.py @@ -3,19 +3,19 @@ from flask_restful import Resource, marshal, marshal_with, reqparse from werkzeug.exceptions import Forbidden from controllers.service_api import api -from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token +from controllers.service_api.wraps import validate_app_token from extensions.ext_redis import redis_client from fields.annotation_fields import ( annotation_fields, ) from libs.login import current_user -from models.model import App, EndUser +from models.model import App from services.annotation_service import AppAnnotationService class AnnotationReplyActionApi(Resource): - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) - def post(self, app_model: App, end_user: EndUser, action): + @validate_app_token + def post(self, app_model: App, action): parser = reqparse.RequestParser() parser.add_argument("score_threshold", required=True, type=float, location="json") parser.add_argument("embedding_provider_name", required=True, type=str, location="json") @@ -31,8 +31,8 @@ class AnnotationReplyActionApi(Resource): class AnnotationReplyActionStatusApi(Resource): - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) - def get(self, app_model: App, end_user: EndUser, job_id, action): + @validate_app_token + def get(self, app_model: App, job_id, action): job_id = str(job_id) app_annotation_job_key = "{}_app_annotation_job_{}".format(action, str(job_id)) cache_result = redis_client.get(app_annotation_job_key) @@ -49,8 +49,8 @@ class AnnotationReplyActionStatusApi(Resource): class AnnotationListApi(Resource): - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) - def get(self, app_model: App, end_user: EndUser): + @validate_app_token + def get(self, app_model: App): page = request.args.get("page", default=1, type=int) limit = request.args.get("limit", default=20, type=int) keyword = request.args.get("keyword", default="", type=str) @@ -65,9 +65,9 @@ class AnnotationListApi(Resource): } return response, 200 - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) + @validate_app_token @marshal_with(annotation_fields) - def post(self, app_model: App, end_user: EndUser): + def post(self, app_model: App): parser = reqparse.RequestParser() parser.add_argument("question", required=True, type=str, location="json") parser.add_argument("answer", required=True, type=str, location="json") @@ -77,9 +77,9 @@ class AnnotationListApi(Resource): class AnnotationUpdateDeleteApi(Resource): - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) + @validate_app_token @marshal_with(annotation_fields) - def put(self, app_model: App, end_user: EndUser, annotation_id): + def put(self, app_model: App, annotation_id): if not current_user.is_editor: raise Forbidden() @@ -91,8 +91,8 @@ class AnnotationUpdateDeleteApi(Resource): annotation = AppAnnotationService.update_app_annotation_directly(args, app_model.id, annotation_id) return annotation - @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) - def delete(self, app_model: App, end_user: EndUser, annotation_id): + @validate_app_token + def delete(self, app_model: App, annotation_id): if not current_user.is_editor: raise Forbidden() diff --git a/api/controllers/service_api/app/workflow.py b/api/controllers/service_api/app/workflow.py index e9bb2b046a..df52b49424 100644 --- a/api/controllers/service_api/app/workflow.py +++ b/api/controllers/service_api/app/workflow.py @@ -24,12 +24,13 @@ from core.errors.error import ( QuotaExceededError, ) from core.model_runtime.errors.invoke import InvokeError +from core.workflow.entities.workflow_execution import WorkflowExecutionStatus from extensions.ext_database import db from fields.workflow_app_log_fields import workflow_app_log_pagination_fields from libs import helper from libs.helper import TimestampField from models.model import App, AppMode, EndUser -from models.workflow import WorkflowRun, WorkflowRunStatus +from models.workflow import WorkflowRun from services.app_generate_service import AppGenerateService from services.errors.llm import InvokeRateLimitError from services.workflow_app_service import WorkflowAppService @@ -138,7 +139,7 @@ class WorkflowAppLogApi(Resource): parser.add_argument("limit", type=int_range(1, 100), default=20, location="args") args = parser.parse_args() - args.status = WorkflowRunStatus(args.status) if args.status else None + args.status = WorkflowExecutionStatus(args.status) if args.status else None if args.created_at__before: args.created_at__before = isoparse(args.created_at__before) diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index 394f36c3ff..27e8dd3fa6 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -1,19 +1,21 @@ from flask import request -from flask_restful import marshal, reqparse +from flask_restful import marshal, marshal_with, reqparse from werkzeug.exceptions import Forbidden, NotFound import services.dataset_service from controllers.service_api import api from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError -from controllers.service_api.wraps import DatasetApiResource +from controllers.service_api.wraps import DatasetApiResource, validate_dataset_token from core.model_runtime.entities.model_entities import ModelType from core.plugin.entities.plugin import ModelProviderID from core.provider_manager import ProviderManager from fields.dataset_fields import dataset_detail_fields +from fields.tag_fields import tag_fields from libs.login import current_user from models.dataset import Dataset, DatasetPermissionEnum from services.dataset_service import DatasetPermissionService, DatasetService from services.entities.knowledge_entities.knowledge_entities import RetrievalModel +from services.tag_service import TagService def _validate_name(name): @@ -320,5 +322,135 @@ class DatasetApi(DatasetApiResource): raise DatasetInUseError() +class DatasetTagsApi(DatasetApiResource): + @validate_dataset_token + @marshal_with(tag_fields) + def get(self, _, dataset_id): + """Get all knowledge type tags.""" + tags = TagService.get_tags("knowledge", current_user.current_tenant_id) + + return tags, 200 + + @validate_dataset_token + def post(self, _, dataset_id): + """Add a knowledge type tag.""" + if not (current_user.is_editor or current_user.is_dataset_editor): + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument( + "name", + nullable=False, + required=True, + help="Name must be between 1 to 50 characters.", + type=DatasetTagsApi._validate_tag_name, + ) + + args = parser.parse_args() + args["type"] = "knowledge" + tag = TagService.save_tags(args) + + response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": 0} + + return response, 200 + + @validate_dataset_token + def patch(self, _, dataset_id): + if not (current_user.is_editor or current_user.is_dataset_editor): + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument( + "name", + nullable=False, + required=True, + help="Name must be between 1 to 50 characters.", + type=DatasetTagsApi._validate_tag_name, + ) + parser.add_argument("tag_id", nullable=False, required=True, help="Id of a tag.", type=str) + args = parser.parse_args() + args["type"] = "knowledge" + tag = TagService.update_tags(args, args.get("tag_id")) + + binding_count = TagService.get_tag_binding_count(args.get("tag_id")) + + response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": binding_count} + + return response, 200 + + @validate_dataset_token + def delete(self, _, dataset_id): + """Delete a knowledge type tag.""" + if not current_user.is_editor: + raise Forbidden() + parser = reqparse.RequestParser() + parser.add_argument("tag_id", nullable=False, required=True, help="Id of a tag.", type=str) + args = parser.parse_args() + TagService.delete_tag(args.get("tag_id")) + + return 204 + + @staticmethod + def _validate_tag_name(name): + if not name or len(name) < 1 or len(name) > 50: + raise ValueError("Name must be between 1 to 50 characters.") + return name + + +class DatasetTagBindingApi(DatasetApiResource): + @validate_dataset_token + def post(self, _, dataset_id): + # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator + if not (current_user.is_editor or current_user.is_dataset_editor): + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument( + "tag_ids", type=list, nullable=False, required=True, location="json", help="Tag IDs is required." + ) + parser.add_argument( + "target_id", type=str, nullable=False, required=True, location="json", help="Target Dataset ID is required." + ) + + args = parser.parse_args() + args["type"] = "knowledge" + TagService.save_tag_binding(args) + + return 204 + + +class DatasetTagUnbindingApi(DatasetApiResource): + @validate_dataset_token + def post(self, _, dataset_id): + # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator + if not (current_user.is_editor or current_user.is_dataset_editor): + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument("tag_id", type=str, nullable=False, required=True, help="Tag ID is required.") + parser.add_argument("target_id", type=str, nullable=False, required=True, help="Target ID is required.") + + args = parser.parse_args() + args["type"] = "knowledge" + TagService.delete_tag_binding(args) + + return 204 + + +class DatasetTagsBindingStatusApi(DatasetApiResource): + @validate_dataset_token + def get(self, _, *args, **kwargs): + """Get all knowledge type tags.""" + dataset_id = kwargs.get("dataset_id") + tags = TagService.get_tags_by_target_id("knowledge", current_user.current_tenant_id, str(dataset_id)) + tags_list = [{"id": tag.id, "name": tag.name} for tag in tags] + response = {"data": tags_list, "total": len(tags)} + return response, 200 + + api.add_resource(DatasetListApi, "/datasets") api.add_resource(DatasetApi, "/datasets/") +api.add_resource(DatasetTagsApi, "/datasets/tags") +api.add_resource(DatasetTagBindingApi, "/datasets/tags/binding") +api.add_resource(DatasetTagUnbindingApi, "/datasets/tags/unbinding") +api.add_resource(DatasetTagsBindingStatusApi, "/datasets//tags") diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index 44c75f40ef..ab7ab4dcf0 100644 --- a/api/controllers/service_api/dataset/document.py +++ b/api/controllers/service_api/dataset/document.py @@ -175,8 +175,11 @@ class DocumentAddByFileApi(DatasetApiResource): if not dataset: raise ValueError("Dataset does not exist.") - if not dataset.indexing_technique and not args.get("indexing_technique"): + + indexing_technique = args.get("indexing_technique") or dataset.indexing_technique + if not indexing_technique: raise ValueError("indexing_technique is required.") + args["indexing_technique"] = indexing_technique # save file info file = request.files["file"] @@ -206,12 +209,16 @@ class DocumentAddByFileApi(DatasetApiResource): knowledge_config = KnowledgeConfig(**args) DocumentService.document_create_args_validate(knowledge_config) + dataset_process_rule = dataset.latest_process_rule if "process_rule" not in args else None + if not knowledge_config.original_document_id and not dataset_process_rule and not knowledge_config.process_rule: + raise ValueError("process_rule is required.") + try: documents, batch = DocumentService.save_document_with_dataset_id( dataset=dataset, knowledge_config=knowledge_config, account=dataset.created_by_account, - dataset_process_rule=dataset.latest_process_rule if "process_rule" not in args else None, + dataset_process_rule=dataset_process_rule, created_from="api", ) except ProviderTokenNotInitError as ex: @@ -388,11 +395,22 @@ class DocumentIndexingStatusApi(DatasetApiResource): .filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment") .count() ) - document.completed_segments = completed_segments - document.total_segments = total_segments - if document.is_paused: - document.indexing_status = "paused" - documents_status.append(marshal(document, document_status_fields)) + # Create a dictionary with document attributes and additional fields + document_dict = { + "id": document.id, + "indexing_status": "paused" if document.is_paused else document.indexing_status, + "processing_started_at": document.processing_started_at, + "parsing_completed_at": document.parsing_completed_at, + "cleaning_completed_at": document.cleaning_completed_at, + "splitting_completed_at": document.splitting_completed_at, + "completed_at": document.completed_at, + "paused_at": document.paused_at, + "error": document.error, + "stopped_at": document.stopped_at, + "completed_segments": completed_segments, + "total_segments": total_segments, + } + documents_status.append(marshal(document_dict, document_status_fields)) data = {"data": documents_status} return data diff --git a/api/controllers/service_api/dataset/segment.py b/api/controllers/service_api/dataset/segment.py index ea4be4e511..337752275a 100644 --- a/api/controllers/service_api/dataset/segment.py +++ b/api/controllers/service_api/dataset/segment.py @@ -208,6 +208,28 @@ class DatasetSegmentApi(DatasetApiResource): ) return {"data": marshal(updated_segment, segment_fields), "doc_form": document.doc_form}, 200 + def get(self, tenant_id, dataset_id, document_id, segment_id): + # check dataset + dataset_id = str(dataset_id) + tenant_id = str(tenant_id) + dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() + if not dataset: + raise NotFound("Dataset not found.") + # check user's model setting + DatasetService.check_dataset_model_setting(dataset) + # check document + document_id = str(document_id) + document = DocumentService.get_document(dataset_id, document_id) + if not document: + raise NotFound("Document not found.") + # check segment + segment_id = str(segment_id) + segment = SegmentService.get_segment_by_id(segment_id=segment_id, tenant_id=current_user.current_tenant_id) + if not segment: + raise NotFound("Segment not found.") + + return {"data": marshal(segment, segment_fields), "doc_form": document.doc_form}, 200 + class ChildChunkApi(DatasetApiResource): """Resource for child chunks.""" diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py index cd35ceac1d..d3316a5159 100644 --- a/api/controllers/service_api/wraps.py +++ b/api/controllers/service_api/wraps.py @@ -99,7 +99,12 @@ def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optio if user_id: user_id = str(user_id) - kwargs["end_user"] = create_or_update_end_user_for_user_id(app_model, user_id) + end_user = create_or_update_end_user_for_user_id(app_model, user_id) + kwargs["end_user"] = end_user + + # Set EndUser as current logged-in user for flask_login.current_user + current_app.login_manager._update_request_context_with_user(end_user) # type: ignore + user_logged_in.send(current_app._get_current_object(), user=end_user) # type: ignore return view_func(*args, **kwargs) diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py index 5212d797d8..4979f63432 100644 --- a/api/core/agent/cot_agent_runner.py +++ b/api/core/agent/cot_agent_runner.py @@ -63,7 +63,7 @@ class CotAgentRunner(BaseAgentRunner, ABC): self._instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs) iteration_step = 1 - max_iteration_steps = min(app_config.agent.max_iteration if app_config.agent else 5, 5) + 1 + max_iteration_steps = min(app_config.agent.max_iteration, 99) + 1 # convert tools into ModelRuntime Tool format tool_instances, prompt_messages_tools = self._init_prompt_tools() diff --git a/api/core/agent/entities.py b/api/core/agent/entities.py index e68b4f2356..143a3a51aa 100644 --- a/api/core/agent/entities.py +++ b/api/core/agent/entities.py @@ -82,7 +82,7 @@ class AgentEntity(BaseModel): strategy: Strategy prompt: Optional[AgentPromptEntity] = None tools: Optional[list[AgentToolEntity]] = None - max_iteration: int = 5 + max_iteration: int = 10 class AgentInvokeMessage(ToolInvokeMessage): diff --git a/api/core/agent/fc_agent_runner.py b/api/core/agent/fc_agent_runner.py index 611a55b30a..5491689ece 100644 --- a/api/core/agent/fc_agent_runner.py +++ b/api/core/agent/fc_agent_runner.py @@ -48,7 +48,7 @@ class FunctionCallAgentRunner(BaseAgentRunner): assert app_config.agent iteration_step = 1 - max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1 + max_iteration_steps = min(app_config.agent.max_iteration, 99) + 1 # continue to run until there is not any tool call function_call_state = True diff --git a/api/core/app/app_config/easy_ui_based_app/agent/manager.py b/api/core/app/app_config/easy_ui_based_app/agent/manager.py index f503543d7b..590b944c0d 100644 --- a/api/core/app/app_config/easy_ui_based_app/agent/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/agent/manager.py @@ -75,7 +75,7 @@ class AgentConfigManager: strategy=strategy, prompt=agent_prompt_entity, tools=agent_tools, - max_iteration=agent_dict.get("max_iteration", 5), + max_iteration=agent_dict.get("max_iteration", 10), ) return None diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py index 5beb09c2aa..5b5eefe315 100644 --- a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py +++ b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py @@ -70,7 +70,7 @@ class ModelConfigConverter: if not model_mode: model_mode = LLMMode.CHAT.value if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE): - model_mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE]).value + model_mode = LLMMode(model_schema.model_properties[ModelPropertyKey.MODE]).value if not model_schema: raise ValueError(f"Model {model_name} not exist.") diff --git a/api/core/app/app_config/entities.py b/api/core/app/app_config/entities.py index 8ae52131f2..3f31b1c3d5 100644 --- a/api/core/app/app_config/entities.py +++ b/api/core/app/app_config/entities.py @@ -109,6 +109,7 @@ class VariableEntity(BaseModel): description: str = "" type: VariableEntityType required: bool = False + hide: bool = False max_length: Optional[int] = None options: Sequence[str] = Field(default_factory=list) allowed_file_types: Sequence[FileType] = Field(default_factory=list) diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index b74100bb19..8c85f91d7e 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Optional, Union, overload -from flask import Flask, current_app +from flask import Flask, copy_current_request_context, current_app, has_request_context from pydantic import ValidationError from sqlalchemy.orm import sessionmaker @@ -26,10 +26,13 @@ from core.model_runtime.errors.invoke import InvokeAuthorizationError from core.ops.ops_trace_manager import TraceQueueManager from core.prompt.utils.get_thread_messages_length import get_thread_messages_length from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository from extensions.ext_database import db from factories import file_factory from models import Account, App, Conversation, EndUser, Message, Workflow, WorkflowNodeExecutionTriggeredFrom +from models.enums import WorkflowRunTriggeredFrom from services.conversation_service import ConversationService from services.errors.message import MessageNotExistsError @@ -155,12 +158,25 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): trace_manager=trace_manager, workflow_run_id=workflow_run_id, ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) - # Create workflow node execution repository + # Create repositories + # + # Create session factory session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + # Create workflow execution(aka workflow run) repository + if invoke_from == InvokeFrom.DEBUGGER: + workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING + else: + workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=workflow_triggered_from, + ) + # Create workflow node execution repository workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, user=user, @@ -173,6 +189,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user=user, invoke_from=invoke_from, application_generate_entity=application_generate_entity, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, conversation=conversation, stream=streaming, @@ -222,12 +239,21 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): node_id=node_id, inputs=args["inputs"] ), ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) - # Create workflow node execution repository + # Create repositories + # + # Create session factory session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + # Create workflow execution(aka workflow run) repository + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=WorkflowRunTriggeredFrom.DEBUGGING, + ) + # Create workflow node execution repository workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, user=user, @@ -240,6 +266,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, @@ -287,12 +314,21 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): extras={"auto_generate_conversation_name": False}, single_loop_run=AdvancedChatAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]), ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) - # Create workflow node execution repository + # Create repositories + # + # Create session factory session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + # Create workflow execution(aka workflow run) repository + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=WorkflowRunTriggeredFrom.DEBUGGING, + ) + # Create workflow node execution repository workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, user=user, @@ -305,6 +341,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, @@ -317,6 +354,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user: Union[Account, EndUser], invoke_from: InvokeFrom, application_generate_entity: AdvancedChatAppGenerateEntity, + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, conversation: Optional[Conversation] = None, stream: bool = True, @@ -358,18 +396,23 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): message_id=message.id, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "conversation_id": conversation.id, - "message_id": message.id, - "context": contextvars.copy_context(), - }, - ) + # new thread with request context and contextvars + context = contextvars.copy_context() + + @copy_current_request_context + def worker_with_context(): + # Run the worker within the copied context + return context.run( + self._generate_worker, + flask_app=current_app._get_current_object(), # type: ignore + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + conversation_id=conversation.id, + message_id=message.id, + context=context, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() @@ -381,6 +424,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation=conversation, message=message, user=user, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, stream=stream, ) @@ -407,8 +451,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): """ for var, val in context.items(): var.set(val) + + # FIXME(-LAN-): Save current user before entering new app context + from flask import g + + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + with flask_app.app_context(): try: + # Restore user in new app context + if saved_user is not None: + from flask import g + + g._login_user = saved_user + # get conversation and message conversation = self._get_conversation(conversation_id) message = self._get_message(message_id) @@ -453,6 +511,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation: Conversation, message: Message, user: Union[Account, EndUser], + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, stream: bool = False, ) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]: @@ -476,9 +535,10 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation=conversation, message=message, user=user, - stream=stream, dialogue_count=self._dialogue_count, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, + stream=stream, ) try: diff --git a/api/core/app/apps/advanced_chat/app_runner.py b/api/core/app/apps/advanced_chat/app_runner.py index c83e06bf15..d9b3833862 100644 --- a/api/core/app/apps/advanced_chat/app_runner.py +++ b/api/core/app/apps/advanced_chat/app_runner.py @@ -140,7 +140,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner): SystemVariableKey.DIALOGUE_COUNT: self._dialogue_count, SystemVariableKey.APP_ID: app_config.app_id, SystemVariableKey.WORKFLOW_ID: app_config.workflow_id, - SystemVariableKey.WORKFLOW_RUN_ID: self.application_generate_entity.workflow_run_id, + SystemVariableKey.WORKFLOW_EXECUTION_ID: self.application_generate_entity.workflow_run_id, } # init variable pool diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index 735b2a9709..8c5645bbb7 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -1,4 +1,3 @@ -import json import logging import time from collections.abc import Generator, Mapping @@ -10,6 +9,7 @@ from sqlalchemy.orm import Session from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom +from core.app.apps.common.workflow_response_converter import WorkflowResponseConverter from core.app.entities.app_invoke_entities import ( AdvancedChatAppGenerateEntity, InvokeFrom, @@ -56,25 +56,23 @@ from core.app.entities.task_entities import ( WorkflowTaskState, ) from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline -from core.app.task_pipeline.message_cycle_manage import MessageCycleManage +from core.app.task_pipeline.message_cycle_manager import MessageCycleManager from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk from core.model_runtime.entities.llm_entities import LLMUsage -from core.model_runtime.utils.encoders import jsonable_encoder from core.ops.ops_trace_manager import TraceQueueManager +from core.workflow.entities.workflow_execution import WorkflowExecutionStatus, WorkflowType from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState from core.workflow.nodes import NodeType -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository -from core.workflow.workflow_cycle_manager import WorkflowCycleManager +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager from events.message_event import message_was_created from extensions.ext_database import db from models import Conversation, EndUser, Message, MessageFile from models.account import Account from models.enums import CreatorUserRole -from models.workflow import ( - Workflow, - WorkflowRunStatus, -) +from models.workflow import Workflow logger = logging.getLogger(__name__) @@ -94,6 +92,7 @@ class AdvancedChatAppGenerateTaskPipeline: user: Union[Account, EndUser], stream: bool, dialogue_count: int, + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: self._base_task_pipeline = BasedGenerateTaskPipeline( @@ -123,13 +122,24 @@ class AdvancedChatAppGenerateTaskPipeline: SystemVariableKey.DIALOGUE_COUNT: dialogue_count, SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id, SystemVariableKey.WORKFLOW_ID: workflow.id, - SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id, + SystemVariableKey.WORKFLOW_EXECUTION_ID: application_generate_entity.workflow_run_id, }, + workflow_info=CycleManagerWorkflowInfo( + workflow_id=workflow.id, + workflow_type=WorkflowType(workflow.type), + version=workflow.version, + graph_data=workflow.graph_dict, + ), + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, ) + self._workflow_response_converter = WorkflowResponseConverter( + application_generate_entity=application_generate_entity, + ) + self._task_state = WorkflowTaskState() - self._message_cycle_manager = MessageCycleManage( + self._message_cycle_manager = MessageCycleManager( application_generate_entity=application_generate_entity, task_state=self._task_state ) @@ -150,7 +160,7 @@ class AdvancedChatAppGenerateTaskPipeline: :return: """ # start generate conversation name thread - self._conversation_name_generate_thread = self._message_cycle_manager._generate_conversation_name( + self._conversation_name_generate_thread = self._message_cycle_manager.generate_conversation_name( conversation_id=self._conversation_id, query=self._application_generate_entity.query ) @@ -294,19 +304,15 @@ class AdvancedChatAppGenerateTaskPipeline: with Session(db.engine, expire_on_commit=False) as session: # init workflow run - workflow_run = self._workflow_cycle_manager._handle_workflow_run_start( - session=session, - workflow_id=self._workflow_id, - user_id=self._user_id, - created_by_role=self._created_by_role, - ) - self._workflow_run_id = workflow_run.id + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_start() + self._workflow_run_id = workflow_execution.id_ message = self._get_message(session=session) if not message: raise ValueError(f"Message not found: {self._message_id}") - message.workflow_run_id = workflow_run.id - workflow_start_resp = self._workflow_cycle_manager._workflow_start_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + message.workflow_run_id = workflow_execution.id_ + workflow_start_resp = self._workflow_response_converter.workflow_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) session.commit() @@ -319,13 +325,10 @@ class AdvancedChatAppGenerateTaskPipeline: raise ValueError("workflow run not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried( + workflow_execution_id=self._workflow_run_id, event=event ) - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried( - workflow_run=workflow_run, event=event - ) - node_retry_resp = self._workflow_cycle_manager._workflow_node_retry_to_stream_response( + node_retry_resp = self._workflow_response_converter.workflow_node_retry_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -338,20 +341,15 @@ class AdvancedChatAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start( - workflow_run=workflow_run, event=event - ) + workflow_node_execution = self._workflow_cycle_manager.handle_node_execution_start( + workflow_execution_id=self._workflow_run_id, event=event + ) - node_start_resp = self._workflow_cycle_manager._workflow_node_start_to_stream_response( - event=event, - task_id=self._application_generate_entity.task_id, - workflow_node_execution=workflow_node_execution, - ) - session.commit() + node_start_resp = self._workflow_response_converter.workflow_node_start_to_stream_response( + event=event, + task_id=self._application_generate_entity.task_id, + workflow_node_execution=workflow_node_execution, + ) if node_start_resp: yield node_start_resp @@ -359,15 +357,15 @@ class AdvancedChatAppGenerateTaskPipeline: # Record files if it's an answer node or end node if event.node_type in [NodeType.ANSWER, NodeType.END]: self._recorded_files.extend( - self._workflow_cycle_manager._fetch_files_from_node_outputs(event.outputs or {}) + self._workflow_response_converter.fetch_files_from_node_outputs(event.outputs or {}) ) with Session(db.engine, expire_on_commit=False) as session: - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success( + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success( event=event ) - node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -383,11 +381,11 @@ class AdvancedChatAppGenerateTaskPipeline: | QueueNodeInLoopFailedEvent | QueueNodeExceptionEvent, ): - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed( + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_failed( event=event ) - node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + node_finish_resp = self._workflow_response_converter.workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -399,132 +397,92 @@ class AdvancedChatAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - parallel_start_resp = ( - self._workflow_cycle_manager._workflow_parallel_branch_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + parallel_start_resp = ( + self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, ) + ) yield parallel_start_resp elif isinstance(event, QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - parallel_finish_resp = ( - self._workflow_cycle_manager._workflow_parallel_branch_finished_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + parallel_finish_resp = ( + self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, ) + ) yield parallel_finish_resp elif isinstance(event, QueueIterationStartEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_start_resp = self._workflow_cycle_manager._workflow_iteration_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_start_resp = self._workflow_response_converter.workflow_iteration_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_start_resp elif isinstance(event, QueueIterationNextEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_next_resp = self._workflow_cycle_manager._workflow_iteration_next_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_next_resp = self._workflow_response_converter.workflow_iteration_next_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_next_resp elif isinstance(event, QueueIterationCompletedEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_finish_resp = self._workflow_cycle_manager._workflow_iteration_completed_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_finish_resp = self._workflow_response_converter.workflow_iteration_completed_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_finish_resp elif isinstance(event, QueueLoopStartEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_start_resp = self._workflow_cycle_manager._workflow_loop_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_start_resp = self._workflow_response_converter.workflow_loop_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_start_resp elif isinstance(event, QueueLoopNextEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_next_resp = self._workflow_cycle_manager._workflow_loop_next_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_next_resp = self._workflow_response_converter.workflow_loop_next_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_next_resp elif isinstance(event, QueueLoopCompletedEvent): if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_finish_resp = self._workflow_cycle_manager._workflow_loop_completed_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_finish_resp = self._workflow_response_converter.workflow_loop_completed_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_finish_resp elif isinstance(event, QueueWorkflowSucceededEvent): @@ -535,10 +493,8 @@ class AdvancedChatAppGenerateTaskPipeline: raise ValueError("workflow run not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_success( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_success( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, outputs=event.outputs, @@ -546,10 +502,11 @@ class AdvancedChatAppGenerateTaskPipeline: trace_manager=trace_manager, ) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( + session=session, + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) - session.commit() yield workflow_finish_resp self._base_task_pipeline._queue_manager.publish( @@ -562,10 +519,8 @@ class AdvancedChatAppGenerateTaskPipeline: raise ValueError("graph runtime state not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_partial_success( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_partial_success( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, outputs=event.outputs, @@ -573,10 +528,11 @@ class AdvancedChatAppGenerateTaskPipeline: conversation_id=None, trace_manager=trace_manager, ) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( + session=session, + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) - session.commit() yield workflow_finish_resp self._base_task_pipeline._queue_manager.publish( @@ -589,26 +545,25 @@ class AdvancedChatAppGenerateTaskPipeline: raise ValueError("graph runtime state not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_failed( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, - status=WorkflowRunStatus.FAILED, - error=event.error, + status=WorkflowExecutionStatus.FAILED, + error_message=event.error, conversation_id=self._conversation_id, trace_manager=trace_manager, exceptions_count=event.exceptions_count, ) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( + session=session, + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) - err_event = QueueErrorEvent(error=ValueError(f"Run failed: {workflow_run.error}")) + err_event = QueueErrorEvent(error=ValueError(f"Run failed: {workflow_execution.error_message}")) err = self._base_task_pipeline._handle_error( event=err_event, session=session, message_id=self._message_id ) - session.commit() yield workflow_finish_resp yield self._base_task_pipeline._error_to_stream_response(err) @@ -616,21 +571,19 @@ class AdvancedChatAppGenerateTaskPipeline: elif isinstance(event, QueueStopEvent): if self._workflow_run_id and graph_runtime_state: with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_failed( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, - status=WorkflowRunStatus.STOPPED, - error=event.get_stop_reason(), + status=WorkflowExecutionStatus.STOPPED, + error_message=event.get_stop_reason(), conversation_id=self._conversation_id, trace_manager=trace_manager, ) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( session=session, task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, + workflow_execution=workflow_execution, ) # Save message self._save_message(session=session, graph_runtime_state=graph_runtime_state) @@ -650,22 +603,18 @@ class AdvancedChatAppGenerateTaskPipeline: yield self._message_end_to_stream_response() break elif isinstance(event, QueueRetrieverResourcesEvent): - self._message_cycle_manager._handle_retriever_resources(event) + self._message_cycle_manager.handle_retriever_resources(event) with Session(db.engine, expire_on_commit=False) as session: message = self._get_message(session=session) - message.message_metadata = ( - json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None - ) + message.message_metadata = self._task_state.metadata.model_dump_json() session.commit() elif isinstance(event, QueueAnnotationReplyEvent): - self._message_cycle_manager._handle_annotation_reply(event) + self._message_cycle_manager.handle_annotation_reply(event) with Session(db.engine, expire_on_commit=False) as session: message = self._get_message(session=session) - message.message_metadata = ( - json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None - ) + message.message_metadata = self._task_state.metadata.model_dump_json() session.commit() elif isinstance(event, QueueTextChunkEvent): delta_text = event.text @@ -682,12 +631,12 @@ class AdvancedChatAppGenerateTaskPipeline: tts_publisher.publish(queue_message) self._task_state.answer += delta_text - yield self._message_cycle_manager._message_to_stream_response( + yield self._message_cycle_manager.message_to_stream_response( answer=delta_text, message_id=self._message_id, from_variable_selector=event.from_variable_selector ) elif isinstance(event, QueueMessageReplaceEvent): # published by moderation - yield self._message_cycle_manager._message_replace_to_stream_response( + yield self._message_cycle_manager.message_replace_to_stream_response( answer=event.text, reason=event.reason ) elif isinstance(event, QueueAdvancedChatMessageEndEvent): @@ -699,7 +648,7 @@ class AdvancedChatAppGenerateTaskPipeline: ) if output_moderation_answer: self._task_state.answer = output_moderation_answer - yield self._message_cycle_manager._message_replace_to_stream_response( + yield self._message_cycle_manager.message_replace_to_stream_response( answer=output_moderation_answer, reason=QueueMessageReplaceEvent.MessageReplaceReason.OUTPUT_MODERATION, ) @@ -711,7 +660,7 @@ class AdvancedChatAppGenerateTaskPipeline: yield self._message_end_to_stream_response() elif isinstance(event, QueueAgentLogEvent): - yield self._workflow_cycle_manager._handle_agent_log( + yield self._workflow_response_converter.handle_agent_log( task_id=self._application_generate_entity.task_id, event=event ) else: @@ -728,9 +677,7 @@ class AdvancedChatAppGenerateTaskPipeline: message = self._get_message(session=session) message.answer = self._task_state.answer message.provider_response_latency = time.perf_counter() - self._base_task_pipeline._start_at - message.message_metadata = ( - json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None - ) + message.message_metadata = self._task_state.metadata.model_dump_json() message_files = [ MessageFile( message_id=message.id, @@ -758,9 +705,9 @@ class AdvancedChatAppGenerateTaskPipeline: message.answer_price_unit = usage.completion_price_unit message.total_price = usage.total_price message.currency = usage.currency - self._task_state.metadata["usage"] = jsonable_encoder(usage) + self._task_state.metadata.usage = usage else: - self._task_state.metadata["usage"] = jsonable_encoder(LLMUsage.empty_usage()) + self._task_state.metadata.usage = LLMUsage.empty_usage() message_was_created.send( message, application_generate_entity=self._application_generate_entity, @@ -771,18 +718,16 @@ class AdvancedChatAppGenerateTaskPipeline: Message end to stream response. :return: """ - extras = {} - if self._task_state.metadata: - extras["metadata"] = self._task_state.metadata.copy() + extras = self._task_state.metadata.model_dump() - if "annotation_reply" in extras["metadata"]: - del extras["metadata"]["annotation_reply"] + if self._task_state.metadata.annotation_reply: + del extras["annotation_reply"] return MessageEndStreamResponse( task_id=self._application_generate_entity.task_id, id=self._message_id, files=self._recorded_files, - metadata=extras.get("metadata", {}), + metadata=extras, ) def _handle_output_moderation_chunk(self, text: str) -> bool: diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 3ed436c07a..158196f24d 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Union, overload -from flask import Flask, current_app +from flask import Flask, copy_current_request_context, current_app, has_request_context from pydantic import ValidationError from configs import dify_config @@ -179,18 +179,23 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): message_id=message.id, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "context": contextvars.copy_context(), - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "conversation_id": conversation.id, - "message_id": message.id, - }, - ) + # new thread with request context and contextvars + context = contextvars.copy_context() + + @copy_current_request_context + def worker_with_context(): + # Run the worker within the copied context + return context.run( + self._generate_worker, + flask_app=current_app._get_current_object(), # type: ignore + context=context, + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + conversation_id=conversation.id, + message_id=message.id, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() @@ -227,8 +232,21 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): for var, val in context.items(): var.set(val) + # FIXME(-LAN-): Save current user before entering new app context + from flask import g + + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + with flask_app.app_context(): try: + # Restore user in new app context + if saved_user is not None: + from flask import g + + g._login_user = saved_user + # get conversation and message conversation = self._get_conversation(conversation_id) message = self._get_message(message_id) diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 2d865795d8..a1329cb938 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -4,7 +4,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Union, overload -from flask import Flask, current_app +from flask import Flask, copy_current_request_context, current_app from pydantic import ValidationError from configs import dify_config @@ -170,17 +170,18 @@ class ChatAppGenerator(MessageBasedAppGenerator): message_id=message.id, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "conversation_id": conversation.id, - "message_id": message.id, - }, - ) + # new thread with request context + @copy_current_request_context + def worker_with_context(): + return self._generate_worker( + flask_app=current_app._get_current_object(), # type: ignore + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + conversation_id=conversation.id, + message_id=message.id, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() diff --git a/api/core/app/apps/common/__init__.py b/api/core/app/apps/common/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/app/apps/common/workflow_response_converter.py b/api/core/app/apps/common/workflow_response_converter.py new file mode 100644 index 0000000000..6f524a5872 --- /dev/null +++ b/api/core/app/apps/common/workflow_response_converter.py @@ -0,0 +1,561 @@ +import time +from collections.abc import Mapping, Sequence +from datetime import UTC, datetime +from typing import Any, Optional, Union, cast + +from sqlalchemy import select +from sqlalchemy.orm import Session + +from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity +from core.app.entities.queue_entities import ( + QueueAgentLogEvent, + QueueIterationCompletedEvent, + QueueIterationNextEvent, + QueueIterationStartEvent, + QueueLoopCompletedEvent, + QueueLoopNextEvent, + QueueLoopStartEvent, + QueueNodeExceptionEvent, + QueueNodeFailedEvent, + QueueNodeInIterationFailedEvent, + QueueNodeInLoopFailedEvent, + QueueNodeRetryEvent, + QueueNodeStartedEvent, + QueueNodeSucceededEvent, + QueueParallelBranchRunFailedEvent, + QueueParallelBranchRunStartedEvent, + QueueParallelBranchRunSucceededEvent, +) +from core.app.entities.task_entities import ( + AgentLogStreamResponse, + IterationNodeCompletedStreamResponse, + IterationNodeNextStreamResponse, + IterationNodeStartStreamResponse, + LoopNodeCompletedStreamResponse, + LoopNodeNextStreamResponse, + LoopNodeStartStreamResponse, + NodeFinishStreamResponse, + NodeRetryStreamResponse, + NodeStartStreamResponse, + ParallelBranchFinishedStreamResponse, + ParallelBranchStartStreamResponse, + WorkflowFinishStreamResponse, + WorkflowStartStreamResponse, +) +from core.file import FILE_MODEL_IDENTITY, File +from core.tools.tool_manager import ToolManager +from core.workflow.entities.workflow_execution import WorkflowExecution +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus +from core.workflow.nodes import NodeType +from core.workflow.nodes.tool.entities import ToolNodeData +from models import ( + Account, + CreatorUserRole, + EndUser, + WorkflowRun, +) + + +class WorkflowResponseConverter: + def __init__( + self, + *, + application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity], + ) -> None: + self._application_generate_entity = application_generate_entity + + def workflow_start_to_stream_response( + self, + *, + task_id: str, + workflow_execution: WorkflowExecution, + ) -> WorkflowStartStreamResponse: + return WorkflowStartStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution.id_, + data=WorkflowStartStreamResponse.Data( + id=workflow_execution.id_, + workflow_id=workflow_execution.workflow_id, + inputs=workflow_execution.inputs, + created_at=int(workflow_execution.started_at.timestamp()), + ), + ) + + def workflow_finish_to_stream_response( + self, + *, + session: Session, + task_id: str, + workflow_execution: WorkflowExecution, + ) -> WorkflowFinishStreamResponse: + created_by = None + workflow_run = session.scalar(select(WorkflowRun).where(WorkflowRun.id == workflow_execution.id_)) + assert workflow_run is not None + if workflow_run.created_by_role == CreatorUserRole.ACCOUNT: + stmt = select(Account).where(Account.id == workflow_run.created_by) + account = session.scalar(stmt) + if account: + created_by = { + "id": account.id, + "name": account.name, + "email": account.email, + } + elif workflow_run.created_by_role == CreatorUserRole.END_USER: + stmt = select(EndUser).where(EndUser.id == workflow_run.created_by) + end_user = session.scalar(stmt) + if end_user: + created_by = { + "id": end_user.id, + "user": end_user.session_id, + } + else: + raise NotImplementedError(f"unknown created_by_role: {workflow_run.created_by_role}") + + # Handle the case where finished_at is None by using current time as default + finished_at_timestamp = ( + int(workflow_execution.finished_at.timestamp()) + if workflow_execution.finished_at + else int(datetime.now(UTC).timestamp()) + ) + + return WorkflowFinishStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution.id_, + data=WorkflowFinishStreamResponse.Data( + id=workflow_execution.id_, + workflow_id=workflow_execution.workflow_id, + status=workflow_execution.status, + outputs=workflow_execution.outputs, + error=workflow_execution.error_message, + elapsed_time=workflow_execution.elapsed_time, + total_tokens=workflow_execution.total_tokens, + total_steps=workflow_execution.total_steps, + created_by=created_by, + created_at=int(workflow_execution.started_at.timestamp()), + finished_at=finished_at_timestamp, + files=self.fetch_files_from_node_outputs(workflow_execution.outputs), + exceptions_count=workflow_execution.exceptions_count, + ), + ) + + def workflow_node_start_to_stream_response( + self, + *, + event: QueueNodeStartedEvent, + task_id: str, + workflow_node_execution: WorkflowNodeExecution, + ) -> Optional[NodeStartStreamResponse]: + if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: + return None + if not workflow_node_execution.workflow_execution_id: + return None + + response = NodeStartStreamResponse( + task_id=task_id, + workflow_run_id=workflow_node_execution.workflow_execution_id, + data=NodeStartStreamResponse.Data( + id=workflow_node_execution.id, + node_id=workflow_node_execution.node_id, + node_type=workflow_node_execution.node_type, + title=workflow_node_execution.title, + index=workflow_node_execution.index, + predecessor_node_id=workflow_node_execution.predecessor_node_id, + inputs=workflow_node_execution.inputs, + created_at=int(workflow_node_execution.created_at.timestamp()), + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + parent_parallel_id=event.parent_parallel_id, + parent_parallel_start_node_id=event.parent_parallel_start_node_id, + iteration_id=event.in_iteration_id, + loop_id=event.in_loop_id, + parallel_run_id=event.parallel_mode_run_id, + agent_strategy=event.agent_strategy, + ), + ) + + # extras logic + if event.node_type == NodeType.TOOL: + node_data = cast(ToolNodeData, event.node_data) + response.data.extras["icon"] = ToolManager.get_tool_icon( + tenant_id=self._application_generate_entity.app_config.tenant_id, + provider_type=node_data.provider_type, + provider_id=node_data.provider_id, + ) + + return response + + def workflow_node_finish_to_stream_response( + self, + *, + event: QueueNodeSucceededEvent + | QueueNodeFailedEvent + | QueueNodeInIterationFailedEvent + | QueueNodeInLoopFailedEvent + | QueueNodeExceptionEvent, + task_id: str, + workflow_node_execution: WorkflowNodeExecution, + ) -> Optional[NodeFinishStreamResponse]: + if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: + return None + if not workflow_node_execution.workflow_execution_id: + return None + if not workflow_node_execution.finished_at: + return None + + return NodeFinishStreamResponse( + task_id=task_id, + workflow_run_id=workflow_node_execution.workflow_execution_id, + data=NodeFinishStreamResponse.Data( + id=workflow_node_execution.id, + node_id=workflow_node_execution.node_id, + node_type=workflow_node_execution.node_type, + index=workflow_node_execution.index, + title=workflow_node_execution.title, + predecessor_node_id=workflow_node_execution.predecessor_node_id, + inputs=workflow_node_execution.inputs, + process_data=workflow_node_execution.process_data, + outputs=workflow_node_execution.outputs, + status=workflow_node_execution.status, + error=workflow_node_execution.error, + elapsed_time=workflow_node_execution.elapsed_time, + execution_metadata=workflow_node_execution.metadata, + created_at=int(workflow_node_execution.created_at.timestamp()), + finished_at=int(workflow_node_execution.finished_at.timestamp()), + files=self.fetch_files_from_node_outputs(workflow_node_execution.outputs or {}), + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + parent_parallel_id=event.parent_parallel_id, + parent_parallel_start_node_id=event.parent_parallel_start_node_id, + iteration_id=event.in_iteration_id, + loop_id=event.in_loop_id, + ), + ) + + def workflow_node_retry_to_stream_response( + self, + *, + event: QueueNodeRetryEvent, + task_id: str, + workflow_node_execution: WorkflowNodeExecution, + ) -> Optional[Union[NodeRetryStreamResponse, NodeFinishStreamResponse]]: + if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: + return None + if not workflow_node_execution.workflow_execution_id: + return None + if not workflow_node_execution.finished_at: + return None + + return NodeRetryStreamResponse( + task_id=task_id, + workflow_run_id=workflow_node_execution.workflow_execution_id, + data=NodeRetryStreamResponse.Data( + id=workflow_node_execution.id, + node_id=workflow_node_execution.node_id, + node_type=workflow_node_execution.node_type, + index=workflow_node_execution.index, + title=workflow_node_execution.title, + predecessor_node_id=workflow_node_execution.predecessor_node_id, + inputs=workflow_node_execution.inputs, + process_data=workflow_node_execution.process_data, + outputs=workflow_node_execution.outputs, + status=workflow_node_execution.status, + error=workflow_node_execution.error, + elapsed_time=workflow_node_execution.elapsed_time, + execution_metadata=workflow_node_execution.metadata, + created_at=int(workflow_node_execution.created_at.timestamp()), + finished_at=int(workflow_node_execution.finished_at.timestamp()), + files=self.fetch_files_from_node_outputs(workflow_node_execution.outputs or {}), + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + parent_parallel_id=event.parent_parallel_id, + parent_parallel_start_node_id=event.parent_parallel_start_node_id, + iteration_id=event.in_iteration_id, + loop_id=event.in_loop_id, + retry_index=event.retry_index, + ), + ) + + def workflow_parallel_branch_start_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueParallelBranchRunStartedEvent, + ) -> ParallelBranchStartStreamResponse: + return ParallelBranchStartStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=ParallelBranchStartStreamResponse.Data( + parallel_id=event.parallel_id, + parallel_branch_id=event.parallel_start_node_id, + parent_parallel_id=event.parent_parallel_id, + parent_parallel_start_node_id=event.parent_parallel_start_node_id, + iteration_id=event.in_iteration_id, + loop_id=event.in_loop_id, + created_at=int(time.time()), + ), + ) + + def workflow_parallel_branch_finished_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent, + ) -> ParallelBranchFinishedStreamResponse: + return ParallelBranchFinishedStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=ParallelBranchFinishedStreamResponse.Data( + parallel_id=event.parallel_id, + parallel_branch_id=event.parallel_start_node_id, + parent_parallel_id=event.parent_parallel_id, + parent_parallel_start_node_id=event.parent_parallel_start_node_id, + iteration_id=event.in_iteration_id, + loop_id=event.in_loop_id, + status="succeeded" if isinstance(event, QueueParallelBranchRunSucceededEvent) else "failed", + error=event.error if isinstance(event, QueueParallelBranchRunFailedEvent) else None, + created_at=int(time.time()), + ), + ) + + def workflow_iteration_start_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueIterationStartEvent, + ) -> IterationNodeStartStreamResponse: + return IterationNodeStartStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=IterationNodeStartStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + created_at=int(time.time()), + extras={}, + inputs=event.inputs or {}, + metadata=event.metadata or {}, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + ), + ) + + def workflow_iteration_next_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueIterationNextEvent, + ) -> IterationNodeNextStreamResponse: + return IterationNodeNextStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=IterationNodeNextStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + index=event.index, + pre_iteration_output=event.output, + created_at=int(time.time()), + extras={}, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + parallel_mode_run_id=event.parallel_mode_run_id, + duration=event.duration, + ), + ) + + def workflow_iteration_completed_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueIterationCompletedEvent, + ) -> IterationNodeCompletedStreamResponse: + return IterationNodeCompletedStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=IterationNodeCompletedStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + outputs=event.outputs, + created_at=int(time.time()), + extras={}, + inputs=event.inputs or {}, + status=WorkflowNodeExecutionStatus.SUCCEEDED + if event.error is None + else WorkflowNodeExecutionStatus.FAILED, + error=None, + elapsed_time=(datetime.now(UTC).replace(tzinfo=None) - event.start_at).total_seconds(), + total_tokens=event.metadata.get("total_tokens", 0) if event.metadata else 0, + execution_metadata=event.metadata, + finished_at=int(time.time()), + steps=event.steps, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + ), + ) + + def workflow_loop_start_to_stream_response( + self, *, task_id: str, workflow_execution_id: str, event: QueueLoopStartEvent + ) -> LoopNodeStartStreamResponse: + return LoopNodeStartStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=LoopNodeStartStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + created_at=int(time.time()), + extras={}, + inputs=event.inputs or {}, + metadata=event.metadata or {}, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + ), + ) + + def workflow_loop_next_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueLoopNextEvent, + ) -> LoopNodeNextStreamResponse: + return LoopNodeNextStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=LoopNodeNextStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + index=event.index, + pre_loop_output=event.output, + created_at=int(time.time()), + extras={}, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + parallel_mode_run_id=event.parallel_mode_run_id, + duration=event.duration, + ), + ) + + def workflow_loop_completed_to_stream_response( + self, + *, + task_id: str, + workflow_execution_id: str, + event: QueueLoopCompletedEvent, + ) -> LoopNodeCompletedStreamResponse: + return LoopNodeCompletedStreamResponse( + task_id=task_id, + workflow_run_id=workflow_execution_id, + data=LoopNodeCompletedStreamResponse.Data( + id=event.node_id, + node_id=event.node_id, + node_type=event.node_type.value, + title=event.node_data.title, + outputs=event.outputs, + created_at=int(time.time()), + extras={}, + inputs=event.inputs or {}, + status=WorkflowNodeExecutionStatus.SUCCEEDED + if event.error is None + else WorkflowNodeExecutionStatus.FAILED, + error=None, + elapsed_time=(datetime.now(UTC).replace(tzinfo=None) - event.start_at).total_seconds(), + total_tokens=event.metadata.get("total_tokens", 0) if event.metadata else 0, + execution_metadata=event.metadata, + finished_at=int(time.time()), + steps=event.steps, + parallel_id=event.parallel_id, + parallel_start_node_id=event.parallel_start_node_id, + ), + ) + + def fetch_files_from_node_outputs(self, outputs_dict: Mapping[str, Any] | None) -> Sequence[Mapping[str, Any]]: + """ + Fetch files from node outputs + :param outputs_dict: node outputs dict + :return: + """ + if not outputs_dict: + return [] + + files = [self._fetch_files_from_variable_value(output_value) for output_value in outputs_dict.values()] + # Remove None + files = [file for file in files if file] + # Flatten list + # Flatten the list of sequences into a single list of mappings + flattened_files = [file for sublist in files if sublist for file in sublist] + + # Convert to tuple to match Sequence type + return tuple(flattened_files) + + def _fetch_files_from_variable_value(self, value: Union[dict, list]) -> Sequence[Mapping[str, Any]]: + """ + Fetch files from variable value + :param value: variable value + :return: + """ + if not value: + return [] + + files = [] + if isinstance(value, list): + for item in value: + file = self._get_file_var_from_value(item) + if file: + files.append(file) + elif isinstance(value, dict): + file = self._get_file_var_from_value(value) + if file: + files.append(file) + + return files + + def _get_file_var_from_value(self, value: Union[dict, list]) -> Mapping[str, Any] | None: + """ + Get file var from value + :param value: variable value + :return: + """ + if not value: + return None + + if isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY: + return value + elif isinstance(value, File): + return value.to_dict() + + return None + + def handle_agent_log(self, task_id: str, event: QueueAgentLogEvent) -> AgentLogStreamResponse: + """ + Handle agent log + :param task_id: task id + :param event: agent log event + :return: + """ + return AgentLogStreamResponse( + task_id=task_id, + data=AgentLogStreamResponse.Data( + node_execution_id=event.node_execution_id, + id=event.id, + parent_id=event.parent_id, + label=event.label, + error=event.error, + status=event.status, + data=event.data, + metadata=event.metadata, + node_id=event.node_id, + ), + ) diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index b1bc412616..adcbaad3ec 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -4,7 +4,7 @@ import uuid from collections.abc import Generator, Mapping from typing import Any, Literal, Union, overload -from flask import Flask, current_app +from flask import Flask, copy_current_request_context, current_app from pydantic import ValidationError from configs import dify_config @@ -151,16 +151,17 @@ class CompletionAppGenerator(MessageBasedAppGenerator): message_id=message.id, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "message_id": message.id, - }, - ) + # new thread with request context + @copy_current_request_context + def worker_with_context(): + return self._generate_worker( + flask_app=current_app._get_current_object(), # type: ignore + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + message_id=message.id, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() @@ -313,16 +314,17 @@ class CompletionAppGenerator(MessageBasedAppGenerator): message_id=message.id, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "message_id": message.id, - }, - ) + # new thread with request context + @copy_current_request_context + def worker_with_context(): + return self._generate_worker( + flask_app=current_app._get_current_object(), # type: ignore + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + message_id=message.id, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index d49ff682b9..f4aec3479b 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -5,7 +5,7 @@ import uuid from collections.abc import Generator, Mapping, Sequence from typing import Any, Literal, Optional, Union, overload -from flask import Flask, current_app +from flask import Flask, copy_current_request_context, current_app, has_request_context from pydantic import ValidationError from sqlalchemy.orm import sessionmaker @@ -18,16 +18,19 @@ from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager from core.app.apps.workflow.app_queue_manager import WorkflowAppQueueManager from core.app.apps.workflow.app_runner import WorkflowAppRunner from core.app.apps.workflow.generate_response_converter import WorkflowAppGenerateResponseConverter +from core.app.apps.workflow.generate_task_pipeline import WorkflowAppGenerateTaskPipeline from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerateEntity from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse from core.model_runtime.errors.invoke import InvokeAuthorizationError from core.ops.ops_trace_manager import TraceQueueManager from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository -from core.workflow.workflow_app_generate_task_pipeline import WorkflowAppGenerateTaskPipeline +from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository from extensions.ext_database import db from factories import file_factory from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTriggeredFrom +from models.enums import WorkflowRunTriggeredFrom logger = logging.getLogger(__name__) @@ -129,16 +132,28 @@ class WorkflowAppGenerator(BaseAppGenerator): invoke_from=invoke_from, call_depth=call_depth, trace_manager=trace_manager, - workflow_run_id=workflow_run_id, + workflow_execution_id=workflow_run_id, ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) - # Create workflow node execution repository + # Create repositories + # + # Create session factory session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) - + # Create workflow execution(aka workflow run) repository + if invoke_from == InvokeFrom.DEBUGGER: + workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING + else: + workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=workflow_triggered_from, + ) + # Create workflow node execution repository workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, user=user, @@ -152,6 +167,7 @@ class WorkflowAppGenerator(BaseAppGenerator): user=user, application_generate_entity=application_generate_entity, invoke_from=invoke_from, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, workflow_thread_pool_id=workflow_thread_pool_id, @@ -165,6 +181,7 @@ class WorkflowAppGenerator(BaseAppGenerator): user: Union[Account, EndUser], application_generate_entity: WorkflowAppGenerateEntity, invoke_from: InvokeFrom, + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, streaming: bool = True, workflow_thread_pool_id: Optional[str] = None, @@ -189,17 +206,22 @@ class WorkflowAppGenerator(BaseAppGenerator): app_mode=app_model.mode, ) - # new thread - worker_thread = threading.Thread( - target=self._generate_worker, - kwargs={ - "flask_app": current_app._get_current_object(), # type: ignore - "application_generate_entity": application_generate_entity, - "queue_manager": queue_manager, - "context": contextvars.copy_context(), - "workflow_thread_pool_id": workflow_thread_pool_id, - }, - ) + # new thread with request context and contextvars + context = contextvars.copy_context() + + @copy_current_request_context + def worker_with_context(): + # Run the worker within the copied context + return context.run( + self._generate_worker, + flask_app=current_app._get_current_object(), # type: ignore + application_generate_entity=application_generate_entity, + queue_manager=queue_manager, + context=context, + workflow_thread_pool_id=workflow_thread_pool_id, + ) + + worker_thread = threading.Thread(target=worker_with_context) worker_thread.start() @@ -209,6 +231,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow=workflow, queue_manager=queue_manager, user=user, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, stream=streaming, ) @@ -256,12 +279,22 @@ class WorkflowAppGenerator(BaseAppGenerator): single_iteration_run=WorkflowAppGenerateEntity.SingleIterationRunEntity( node_id=node_id, inputs=args["inputs"] ), - workflow_run_id=str(uuid.uuid4()), + workflow_execution_id=str(uuid.uuid4()), ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create repositories + # + # Create session factory + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + # Create workflow execution(aka workflow run) repository + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=WorkflowRunTriggeredFrom.DEBUGGING, + ) # Create workflow node execution repository session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) @@ -278,6 +311,7 @@ class WorkflowAppGenerator(BaseAppGenerator): user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, ) @@ -321,12 +355,22 @@ class WorkflowAppGenerator(BaseAppGenerator): invoke_from=InvokeFrom.DEBUGGER, extras={"auto_generate_conversation_name": False}, single_loop_run=WorkflowAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]), - workflow_run_id=str(uuid.uuid4()), + workflow_execution_id=str(uuid.uuid4()), ) - contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create repositories + # + # Create session factory + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + # Create workflow execution(aka workflow run) repository + workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository( + session_factory=session_factory, + user=user, + app_id=application_generate_entity.app_config.app_id, + triggered_from=WorkflowRunTriggeredFrom.DEBUGGING, + ) # Create workflow node execution repository session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) @@ -343,6 +387,7 @@ class WorkflowAppGenerator(BaseAppGenerator): user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, ) @@ -365,8 +410,22 @@ class WorkflowAppGenerator(BaseAppGenerator): """ for var, val in context.items(): var.set(val) + + # FIXME(-LAN-): Save current user before entering new app context + from flask import g + + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + with flask_app.app_context(): try: + # Restore user in new app context + if saved_user is not None: + from flask import g + + g._login_user = saved_user + # workflow app runner = WorkflowAppRunner( application_generate_entity=application_generate_entity, @@ -400,6 +459,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow: Workflow, queue_manager: AppQueueManager, user: Union[Account, EndUser], + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, stream: bool = False, ) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]: @@ -419,8 +479,9 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow=workflow, queue_manager=queue_manager, user=user, - stream=stream, + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, + stream=stream, ) try: diff --git a/api/core/app/apps/workflow/app_runner.py b/api/core/app/apps/workflow/app_runner.py index b38ee18ac4..b59e34e222 100644 --- a/api/core/app/apps/workflow/app_runner.py +++ b/api/core/app/apps/workflow/app_runner.py @@ -95,7 +95,7 @@ class WorkflowAppRunner(WorkflowBasedAppRunner): SystemVariableKey.USER_ID: user_id, SystemVariableKey.APP_ID: app_config.app_id, SystemVariableKey.WORKFLOW_ID: app_config.workflow_id, - SystemVariableKey.WORKFLOW_RUN_ID: self.application_generate_entity.workflow_run_id, + SystemVariableKey.WORKFLOW_EXECUTION_ID: self.application_generate_entity.workflow_execution_id, } variable_pool = VariablePool( diff --git a/api/core/workflow/workflow_app_generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py similarity index 69% rename from api/core/workflow/workflow_app_generate_task_pipeline.py rename to api/core/app/apps/workflow/generate_task_pipeline.py index 0396fa8157..1734dbb598 100644 --- a/api/core/workflow/workflow_app_generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -3,10 +3,12 @@ import time from collections.abc import Generator from typing import Optional, Union +from sqlalchemy import select from sqlalchemy.orm import Session from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME from core.app.apps.base_app_queue_manager import AppQueueManager +from core.app.apps.common.workflow_response_converter import WorkflowResponseConverter from core.app.entities.app_invoke_entities import ( InvokeFrom, WorkflowAppGenerateEntity, @@ -48,14 +50,15 @@ from core.app.entities.task_entities import ( WorkflowAppStreamResponse, WorkflowFinishStreamResponse, WorkflowStartStreamResponse, - WorkflowTaskState, ) from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk from core.ops.ops_trace_manager import TraceQueueManager +from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType from core.workflow.enums import SystemVariableKey -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository -from core.workflow.workflow_cycle_manager import WorkflowCycleManager +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager from extensions.ext_database import db from models.account import Account from models.enums import CreatorUserRole @@ -65,7 +68,6 @@ from models.workflow import ( WorkflowAppLog, WorkflowAppLogCreatedFrom, WorkflowRun, - WorkflowRunStatus, ) logger = logging.getLogger(__name__) @@ -83,6 +85,7 @@ class WorkflowAppGenerateTaskPipeline: queue_manager: AppQueueManager, user: Union[Account, EndUser], stream: bool, + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: self._base_task_pipeline = BasedGenerateTaskPipeline( @@ -109,15 +112,24 @@ class WorkflowAppGenerateTaskPipeline: SystemVariableKey.USER_ID: user_session_id, SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id, SystemVariableKey.WORKFLOW_ID: workflow.id, - SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id, + SystemVariableKey.WORKFLOW_EXECUTION_ID: application_generate_entity.workflow_execution_id, }, + workflow_info=CycleManagerWorkflowInfo( + workflow_id=workflow.id, + workflow_type=WorkflowType(workflow.type), + version=workflow.version, + graph_data=workflow.graph_dict, + ), + workflow_execution_repository=workflow_execution_repository, workflow_node_execution_repository=workflow_node_execution_repository, ) + self._workflow_response_converter = WorkflowResponseConverter( + application_generate_entity=application_generate_entity, + ) + self._application_generate_entity = application_generate_entity - self._workflow_id = workflow.id self._workflow_features_dict = workflow.features_dict - self._task_state = WorkflowTaskState() self._workflow_run_id = "" def process(self) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]: @@ -256,19 +268,13 @@ class WorkflowAppGenerateTaskPipeline: # override graph runtime state graph_runtime_state = event.graph_runtime_state - with Session(db.engine, expire_on_commit=False) as session: - # init workflow run - workflow_run = self._workflow_cycle_manager._handle_workflow_run_start( - session=session, - workflow_id=self._workflow_id, - user_id=self._user_id, - created_by_role=self._created_by_role, - ) - self._workflow_run_id = workflow_run.id - start_resp = self._workflow_cycle_manager._workflow_start_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run - ) - session.commit() + # init workflow run + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_start() + self._workflow_run_id = workflow_execution.id_ + start_resp = self._workflow_response_converter.workflow_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, + ) yield start_resp elif isinstance( @@ -278,13 +284,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried( - workflow_run=workflow_run, event=event + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_retried( + workflow_execution_id=self._workflow_run_id, + event=event, ) - response = self._workflow_cycle_manager._workflow_node_retry_to_stream_response( + response = self._workflow_response_converter.workflow_node_retry_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -297,27 +301,22 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start( - workflow_run=workflow_run, event=event - ) - node_start_response = self._workflow_cycle_manager._workflow_node_start_to_stream_response( - event=event, - task_id=self._application_generate_entity.task_id, - workflow_node_execution=workflow_node_execution, - ) - session.commit() + workflow_node_execution = self._workflow_cycle_manager.handle_node_execution_start( + workflow_execution_id=self._workflow_run_id, event=event + ) + node_start_response = self._workflow_response_converter.workflow_node_start_to_stream_response( + event=event, + task_id=self._application_generate_entity.task_id, + workflow_node_execution=workflow_node_execution, + ) if node_start_response: yield node_start_response elif isinstance(event, QueueNodeSucceededEvent): - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success( + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_success( event=event ) - node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + node_success_response = self._workflow_response_converter.workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -332,10 +331,10 @@ class WorkflowAppGenerateTaskPipeline: | QueueNodeInLoopFailedEvent | QueueNodeExceptionEvent, ): - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed( + workflow_node_execution = self._workflow_cycle_manager.handle_workflow_node_execution_failed( event=event, ) - node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + node_failed_response = self._workflow_response_converter.workflow_node_finish_to_stream_response( event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -348,18 +347,13 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - parallel_start_resp = ( - self._workflow_cycle_manager._workflow_parallel_branch_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + parallel_start_resp = ( + self._workflow_response_converter.workflow_parallel_branch_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, ) + ) yield parallel_start_resp @@ -367,18 +361,13 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - parallel_finish_resp = ( - self._workflow_cycle_manager._workflow_parallel_branch_finished_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + parallel_finish_resp = ( + self._workflow_response_converter.workflow_parallel_branch_finished_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, ) + ) yield parallel_finish_resp @@ -386,16 +375,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_start_resp = self._workflow_cycle_manager._workflow_iteration_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_start_resp = self._workflow_response_converter.workflow_iteration_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_start_resp @@ -403,16 +387,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_next_resp = self._workflow_cycle_manager._workflow_iteration_next_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_next_resp = self._workflow_response_converter.workflow_iteration_next_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_next_resp @@ -420,16 +399,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - iter_finish_resp = self._workflow_cycle_manager._workflow_iteration_completed_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + iter_finish_resp = self._workflow_response_converter.workflow_iteration_completed_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield iter_finish_resp @@ -437,16 +411,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_start_resp = self._workflow_cycle_manager._workflow_loop_start_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_start_resp = self._workflow_response_converter.workflow_loop_start_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_start_resp @@ -454,16 +423,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_next_resp = self._workflow_cycle_manager._workflow_loop_next_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_next_resp = self._workflow_response_converter.workflow_loop_next_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_next_resp @@ -471,16 +435,11 @@ class WorkflowAppGenerateTaskPipeline: if not self._workflow_run_id: raise ValueError("workflow run not initialized.") - with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._get_workflow_run( - session=session, workflow_run_id=self._workflow_run_id - ) - loop_finish_resp = self._workflow_cycle_manager._workflow_loop_completed_to_stream_response( - session=session, - task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, - event=event, - ) + loop_finish_resp = self._workflow_response_converter.workflow_loop_completed_to_stream_response( + task_id=self._application_generate_entity.task_id, + workflow_execution_id=self._workflow_run_id, + event=event, + ) yield loop_finish_resp @@ -491,10 +450,8 @@ class WorkflowAppGenerateTaskPipeline: raise ValueError("graph runtime state not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_success( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_success( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, outputs=event.outputs, @@ -503,12 +460,12 @@ class WorkflowAppGenerateTaskPipeline: ) # save workflow app log - self._save_workflow_app_log(session=session, workflow_run=workflow_run) + self._save_workflow_app_log(session=session, workflow_execution=workflow_execution) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( session=session, task_id=self._application_generate_entity.task_id, - workflow_run=workflow_run, + workflow_execution=workflow_execution, ) session.commit() @@ -520,10 +477,8 @@ class WorkflowAppGenerateTaskPipeline: raise ValueError("graph runtime state not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_partial_success( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_partial_success( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, outputs=event.outputs, @@ -533,10 +488,12 @@ class WorkflowAppGenerateTaskPipeline: ) # save workflow app log - self._save_workflow_app_log(session=session, workflow_run=workflow_run) + self._save_workflow_app_log(session=session, workflow_execution=workflow_execution) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( + session=session, + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) session.commit() @@ -548,26 +505,28 @@ class WorkflowAppGenerateTaskPipeline: raise ValueError("graph runtime state not initialized.") with Session(db.engine, expire_on_commit=False) as session: - workflow_run = self._workflow_cycle_manager._handle_workflow_run_failed( - session=session, + workflow_execution = self._workflow_cycle_manager.handle_workflow_run_failed( workflow_run_id=self._workflow_run_id, - start_at=graph_runtime_state.start_at, total_tokens=graph_runtime_state.total_tokens, total_steps=graph_runtime_state.node_run_steps, - status=WorkflowRunStatus.FAILED + status=WorkflowExecutionStatus.FAILED if isinstance(event, QueueWorkflowFailedEvent) - else WorkflowRunStatus.STOPPED, - error=event.error if isinstance(event, QueueWorkflowFailedEvent) else event.get_stop_reason(), + else WorkflowExecutionStatus.STOPPED, + error_message=event.error + if isinstance(event, QueueWorkflowFailedEvent) + else event.get_stop_reason(), conversation_id=None, trace_manager=trace_manager, exceptions_count=event.exceptions_count if isinstance(event, QueueWorkflowFailedEvent) else 0, ) # save workflow app log - self._save_workflow_app_log(session=session, workflow_run=workflow_run) + self._save_workflow_app_log(session=session, workflow_execution=workflow_execution) - workflow_finish_resp = self._workflow_cycle_manager._workflow_finish_to_stream_response( - session=session, task_id=self._application_generate_entity.task_id, workflow_run=workflow_run + workflow_finish_resp = self._workflow_response_converter.workflow_finish_to_stream_response( + session=session, + task_id=self._application_generate_entity.task_id, + workflow_execution=workflow_execution, ) session.commit() @@ -581,12 +540,11 @@ class WorkflowAppGenerateTaskPipeline: if tts_publisher: tts_publisher.publish(queue_message) - self._task_state.answer += delta_text yield self._text_chunk_to_stream_response( delta_text, from_variable_selector=event.from_variable_selector ) elif isinstance(event, QueueAgentLogEvent): - yield self._workflow_cycle_manager._handle_agent_log( + yield self._workflow_response_converter.handle_agent_log( task_id=self._application_generate_entity.task_id, event=event ) else: @@ -595,11 +553,9 @@ class WorkflowAppGenerateTaskPipeline: if tts_publisher: tts_publisher.publish(None) - def _save_workflow_app_log(self, *, session: Session, workflow_run: WorkflowRun) -> None: - """ - Save workflow app log. - :return: - """ + def _save_workflow_app_log(self, *, session: Session, workflow_execution: WorkflowExecution) -> None: + workflow_run = session.scalar(select(WorkflowRun).where(WorkflowRun.id == workflow_execution.id_)) + assert workflow_run is not None invoke_from = self._application_generate_entity.invoke_from if invoke_from == InvokeFrom.SERVICE_API: created_from = WorkflowAppLogCreatedFrom.SERVICE_API diff --git a/api/core/app/apps/workflow_app_runner.py b/api/core/app/apps/workflow_app_runner.py index 0884fac4a9..facc24b4ca 100644 --- a/api/core/app/apps/workflow_app_runner.py +++ b/api/core/app/apps/workflow_app_runner.py @@ -29,8 +29,8 @@ from core.app.entities.queue_entities import ( QueueWorkflowStartedEvent, QueueWorkflowSucceededEvent, ) -from core.workflow.entities.node_entities import NodeRunMetadataKey from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.graph_engine.entities.event import ( AgentLogEvent, GraphEngineEvent, @@ -295,7 +295,7 @@ class WorkflowBasedAppRunner(AppRunner): inputs: Mapping[str, Any] | None = {} process_data: Mapping[str, Any] | None = {} outputs: Mapping[str, Any] | None = {} - execution_metadata: Mapping[NodeRunMetadataKey, Any] | None = {} + execution_metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = {} if node_run_result: inputs = node_run_result.inputs process_data = node_run_result.process_data diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index 56e6b46a60..c0d99693b0 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -76,6 +76,8 @@ class AppGenerateEntity(BaseModel): App Generate Entity. """ + model_config = ConfigDict(arbitrary_types_allowed=True) + task_id: str # app config @@ -99,9 +101,6 @@ class AppGenerateEntity(BaseModel): # tracing instance trace_manager: Optional[TraceQueueManager] = None - class Config: - arbitrary_types_allowed = True - class EasyUIBasedAppGenerateEntity(AppGenerateEntity): """ @@ -205,7 +204,7 @@ class WorkflowAppGenerateEntity(AppGenerateEntity): # app config app_config: WorkflowUIBasedAppConfig - workflow_run_id: str + workflow_execution_id: str class SingleIterationRunEntity(BaseModel): """ diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py index 7228020e9b..42e6a1519c 100644 --- a/api/core/app/entities/queue_entities.py +++ b/api/core/app/entities/queue_entities.py @@ -1,4 +1,4 @@ -from collections.abc import Mapping +from collections.abc import Mapping, Sequence from datetime import datetime from enum import Enum, StrEnum from typing import Any, Optional @@ -6,7 +6,9 @@ from typing import Any, Optional from pydantic import BaseModel from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk -from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey +from core.rag.entities.citation_metadata import RetrievalSourceMetadata +from core.workflow.entities.node_entities import AgentNodeStrategyInit +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState from core.workflow.nodes import NodeType from core.workflow.nodes.base import BaseNodeData @@ -282,7 +284,7 @@ class QueueRetrieverResourcesEvent(AppQueueEvent): """ event: QueueEvent = QueueEvent.RETRIEVER_RESOURCES - retriever_resources: list[dict] + retriever_resources: Sequence[RetrievalSourceMetadata] in_iteration_id: Optional[str] = None """iteration id if node is in iteration""" in_loop_id: Optional[str] = None @@ -412,7 +414,7 @@ class QueueNodeSucceededEvent(AppQueueEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: Optional[str] = None """single iteration duration map""" @@ -446,7 +448,7 @@ class QueueNodeRetryEvent(QueueNodeStartedEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: str retry_index: int # retry index @@ -480,7 +482,7 @@ class QueueNodeInIterationFailedEvent(AppQueueEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: str @@ -513,7 +515,7 @@ class QueueNodeInLoopFailedEvent(AppQueueEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: str @@ -546,7 +548,7 @@ class QueueNodeExceptionEvent(AppQueueEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: str @@ -579,7 +581,7 @@ class QueueNodeFailedEvent(AppQueueEvent): inputs: Optional[Mapping[str, Any]] = None process_data: Optional[Mapping[str, Any]] = None outputs: Optional[Mapping[str, Any]] = None - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None error: str diff --git a/api/core/app/entities/task_entities.py b/api/core/app/entities/task_entities.py index 0c2d617f80..25c889e922 100644 --- a/api/core/app/entities/task_entities.py +++ b/api/core/app/entities/task_entities.py @@ -2,12 +2,29 @@ from collections.abc import Mapping, Sequence from enum import Enum from typing import Any, Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field -from core.model_runtime.entities.llm_entities import LLMResult +from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage from core.model_runtime.utils.encoders import jsonable_encoder -from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey -from models.workflow import WorkflowNodeExecutionStatus +from core.rag.entities.citation_metadata import RetrievalSourceMetadata +from core.workflow.entities.node_entities import AgentNodeStrategyInit +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus + + +class AnnotationReplyAccount(BaseModel): + id: str + name: str + + +class AnnotationReply(BaseModel): + id: str + account: AnnotationReplyAccount + + +class TaskStateMetadata(BaseModel): + annotation_reply: AnnotationReply | None = None + retriever_resources: Sequence[RetrievalSourceMetadata] = Field(default_factory=list) + usage: LLMUsage | None = None class TaskState(BaseModel): @@ -15,7 +32,7 @@ class TaskState(BaseModel): TaskState entity """ - metadata: dict = {} + metadata: TaskStateMetadata = Field(default_factory=TaskStateMetadata) class EasyUITaskState(TaskState): @@ -189,8 +206,7 @@ class WorkflowStartStreamResponse(StreamResponse): id: str workflow_id: str - sequence_number: int - inputs: dict + inputs: Mapping[str, Any] created_at: int event: StreamEvent = StreamEvent.WORKFLOW_STARTED @@ -210,9 +226,8 @@ class WorkflowFinishStreamResponse(StreamResponse): id: str workflow_id: str - sequence_number: int status: str - outputs: Optional[dict] = None + outputs: Optional[Mapping[str, Any]] = None error: Optional[str] = None elapsed_time: float total_tokens: int @@ -307,7 +322,7 @@ class NodeFinishStreamResponse(StreamResponse): status: str error: Optional[str] = None elapsed_time: float - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None created_at: int finished_at: int files: Optional[Sequence[Mapping[str, Any]]] = [] @@ -376,7 +391,7 @@ class NodeRetryStreamResponse(StreamResponse): status: str error: Optional[str] = None elapsed_time: float - execution_metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None + execution_metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None created_at: int finished_at: int files: Optional[Sequence[Mapping[str, Any]]] = [] @@ -788,7 +803,7 @@ class WorkflowAppBlockingResponse(AppBlockingResponse): id: str workflow_id: str status: str - outputs: Optional[dict] = None + outputs: Optional[Mapping[str, Any]] = None error: Optional[str] = None elapsed_time: float total_tokens: int diff --git a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py index a98a42f5df..1ea50a5778 100644 --- a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py +++ b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py @@ -1,4 +1,3 @@ -import json import logging import time from collections.abc import Generator @@ -43,7 +42,7 @@ from core.app.entities.task_entities import ( StreamResponse, ) from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline -from core.app.task_pipeline.message_cycle_manage import MessageCycleManage +from core.app.task_pipeline.message_cycle_manager import MessageCycleManager from core.base.tts import AppGeneratorTTSPublisher, AudioTrunk from core.model_manager import ModelInstance from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage @@ -51,7 +50,6 @@ from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, ) from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.utils.encoders import jsonable_encoder from core.ops.entities.trace_entity import TraceTaskName from core.ops.ops_trace_manager import TraceQueueManager, TraceTask from core.prompt.utils.prompt_message_util import PromptMessageUtil @@ -63,7 +61,7 @@ from models.model import AppMode, Conversation, Message, MessageAgentThought logger = logging.getLogger(__name__) -class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleManage): +class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline): """ EasyUIBasedGenerateTaskPipeline is a class that generate stream output and state management for Application. """ @@ -104,6 +102,11 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan ) ) + self._message_cycle_manager = MessageCycleManager( + application_generate_entity=application_generate_entity, + task_state=self._task_state, + ) + self._conversation_name_generate_thread: Optional[Thread] = None def process( @@ -115,7 +118,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan ]: if self._application_generate_entity.app_config.app_mode != AppMode.COMPLETION: # start generate conversation name thread - self._conversation_name_generate_thread = self._generate_conversation_name( + self._conversation_name_generate_thread = self._message_cycle_manager.generate_conversation_name( conversation_id=self._conversation_id, query=self._application_generate_entity.query or "" ) @@ -136,9 +139,9 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan if isinstance(stream_response, ErrorStreamResponse): raise stream_response.err elif isinstance(stream_response, MessageEndStreamResponse): - extras = {"usage": jsonable_encoder(self._task_state.llm_result.usage)} + extras = {"usage": self._task_state.llm_result.usage.model_dump()} if self._task_state.metadata: - extras["metadata"] = self._task_state.metadata + extras["metadata"] = self._task_state.metadata.model_dump() response: Union[ChatbotAppBlockingResponse, CompletionAppBlockingResponse] if self._conversation_mode == AppMode.COMPLETION.value: response = CompletionAppBlockingResponse( @@ -277,7 +280,9 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan ) if output_moderation_answer: self._task_state.llm_result.message.content = output_moderation_answer - yield self._message_replace_to_stream_response(answer=output_moderation_answer) + yield self._message_cycle_manager.message_replace_to_stream_response( + answer=output_moderation_answer + ) with Session(db.engine) as session: # Save message @@ -286,9 +291,9 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan message_end_resp = self._message_end_to_stream_response() yield message_end_resp elif isinstance(event, QueueRetrieverResourcesEvent): - self._handle_retriever_resources(event) + self._message_cycle_manager.handle_retriever_resources(event) elif isinstance(event, QueueAnnotationReplyEvent): - annotation = self._handle_annotation_reply(event) + annotation = self._message_cycle_manager.handle_annotation_reply(event) if annotation: self._task_state.llm_result.message.content = annotation.content elif isinstance(event, QueueAgentThoughtEvent): @@ -296,7 +301,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan if agent_thought_response is not None: yield agent_thought_response elif isinstance(event, QueueMessageFileEvent): - response = self._message_file_to_stream_response(event) + response = self._message_cycle_manager.message_file_to_stream_response(event) if response: yield response elif isinstance(event, QueueLLMChunkEvent | QueueAgentMessageEvent): @@ -318,7 +323,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan self._task_state.llm_result.message.content = current_content if isinstance(event, QueueLLMChunkEvent): - yield self._message_to_stream_response( + yield self._message_cycle_manager.message_to_stream_response( answer=cast(str, delta_text), message_id=self._message_id, ) @@ -328,7 +333,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan message_id=self._message_id, ) elif isinstance(event, QueueMessageReplaceEvent): - yield self._message_replace_to_stream_response(answer=event.text) + yield self._message_cycle_manager.message_replace_to_stream_response(answer=event.text) elif isinstance(event, QueuePingEvent): yield self._ping_stream_response() else: @@ -372,9 +377,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan message.provider_response_latency = time.perf_counter() - self._start_at message.total_price = usage.total_price message.currency = usage.currency - message.message_metadata = ( - json.dumps(jsonable_encoder(self._task_state.metadata)) if self._task_state.metadata else None - ) + message.message_metadata = self._task_state.metadata.model_dump_json() if trace_manager: trace_manager.add_trace_task( @@ -423,16 +426,12 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan Message end to stream response. :return: """ - self._task_state.metadata["usage"] = jsonable_encoder(self._task_state.llm_result.usage) - - extras = {} - if self._task_state.metadata: - extras["metadata"] = self._task_state.metadata - + self._task_state.metadata.usage = self._task_state.llm_result.usage + metadata_dict = self._task_state.metadata.model_dump() return MessageEndStreamResponse( task_id=self._application_generate_entity.task_id, id=self._message_id, - metadata=extras.get("metadata", {}), + metadata=metadata_dict, ) def _agent_message_to_stream_response(self, answer: str, message_id: str) -> AgentMessageStreamResponse: @@ -455,8 +454,6 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan agent_thought: Optional[MessageAgentThought] = ( db.session.query(MessageAgentThought).filter(MessageAgentThought.id == event.agent_thought_id).first() ) - db.session.refresh(agent_thought) - db.session.close() if agent_thought: return AgentThoughtStreamResponse( diff --git a/api/core/app/task_pipeline/message_cycle_manage.py b/api/core/app/task_pipeline/message_cycle_manager.py similarity index 85% rename from api/core/app/task_pipeline/message_cycle_manage.py rename to api/core/app/task_pipeline/message_cycle_manager.py index a6d826f08b..2343081eaf 100644 --- a/api/core/app/task_pipeline/message_cycle_manage.py +++ b/api/core/app/task_pipeline/message_cycle_manager.py @@ -17,6 +17,8 @@ from core.app.entities.queue_entities import ( QueueRetrieverResourcesEvent, ) from core.app.entities.task_entities import ( + AnnotationReply, + AnnotationReplyAccount, EasyUITaskState, MessageFileStreamResponse, MessageReplaceStreamResponse, @@ -30,7 +32,7 @@ from models.model import AppMode, Conversation, MessageAnnotation, MessageFile from services.annotation_service import AppAnnotationService -class MessageCycleManage: +class MessageCycleManager: def __init__( self, *, @@ -45,7 +47,7 @@ class MessageCycleManage: self._application_generate_entity = application_generate_entity self._task_state = task_state - def _generate_conversation_name(self, *, conversation_id: str, query: str) -> Optional[Thread]: + def generate_conversation_name(self, *, conversation_id: str, query: str) -> Optional[Thread]: """ Generate conversation name. :param conversation_id: conversation id @@ -102,7 +104,7 @@ class MessageCycleManage: db.session.commit() db.session.close() - def _handle_annotation_reply(self, event: QueueAnnotationReplyEvent) -> Optional[MessageAnnotation]: + def handle_annotation_reply(self, event: QueueAnnotationReplyEvent) -> Optional[MessageAnnotation]: """ Handle annotation reply. :param event: event @@ -111,25 +113,28 @@ class MessageCycleManage: annotation = AppAnnotationService.get_annotation_by_id(event.message_annotation_id) if annotation: account = annotation.account - self._task_state.metadata["annotation_reply"] = { - "id": annotation.id, - "account": {"id": annotation.account_id, "name": account.name if account else "Dify user"}, - } + self._task_state.metadata.annotation_reply = AnnotationReply( + id=annotation.id, + account=AnnotationReplyAccount( + id=annotation.account_id, + name=account.name if account else "Dify user", + ), + ) return annotation return None - def _handle_retriever_resources(self, event: QueueRetrieverResourcesEvent) -> None: + def handle_retriever_resources(self, event: QueueRetrieverResourcesEvent) -> None: """ Handle retriever resources. :param event: event :return: """ if self._application_generate_entity.app_config.additional_features.show_retrieve_source: - self._task_state.metadata["retriever_resources"] = event.retriever_resources + self._task_state.metadata.retriever_resources = event.retriever_resources - def _message_file_to_stream_response(self, event: QueueMessageFileEvent) -> Optional[MessageFileStreamResponse]: + def message_file_to_stream_response(self, event: QueueMessageFileEvent) -> Optional[MessageFileStreamResponse]: """ Message file to stream response. :param event: event @@ -166,7 +171,7 @@ class MessageCycleManage: return None - def _message_to_stream_response( + def message_to_stream_response( self, answer: str, message_id: str, from_variable_selector: Optional[list[str]] = None ) -> MessageStreamResponse: """ @@ -182,7 +187,7 @@ class MessageCycleManage: from_variable_selector=from_variable_selector, ) - def _message_replace_to_stream_response(self, answer: str, reason: str = "") -> MessageReplaceStreamResponse: + def message_replace_to_stream_response(self, answer: str, reason: str = "") -> MessageReplaceStreamResponse: """ Message replace to stream response. :param answer: answer diff --git a/api/core/callback_handler/index_tool_callback_handler.py b/api/core/callback_handler/index_tool_callback_handler.py index 13c22213c4..a3a7b4b812 100644 --- a/api/core/callback_handler/index_tool_callback_handler.py +++ b/api/core/callback_handler/index_tool_callback_handler.py @@ -1,8 +1,10 @@ import logging +from collections.abc import Sequence from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom from core.app.entities.app_invoke_entities import InvokeFrom from core.app.entities.queue_entities import QueueRetrieverResourcesEvent +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.rag.index_processor.constant.index_type import IndexType from core.rag.models.document import Document from extensions.ext_database import db @@ -85,7 +87,8 @@ class DatasetIndexToolCallbackHandler: db.session.commit() - def return_retriever_resource_info(self, resource: list): + # TODO(-LAN-): Improve type check + def return_retriever_resource_info(self, resource: Sequence[RetrievalSourceMetadata]): """Handle return_retriever_resource_info.""" self._queue_manager.publish( QueueRetrieverResourcesEvent(retriever_resources=resource), PublishFrom.APPLICATION_MANAGER diff --git a/api/core/entities/model_entities.py b/api/core/entities/model_entities.py index 5017835565..e1c021a44a 100644 --- a/api/core/entities/model_entities.py +++ b/api/core/entities/model_entities.py @@ -55,6 +55,25 @@ class ProviderModelWithStatusEntity(ProviderModel): status: ModelStatus load_balancing_enabled: bool = False + def raise_for_status(self) -> None: + """ + Check model status and raise ValueError if not active. + + :raises ValueError: When model status is not active, with a descriptive message + """ + if self.status == ModelStatus.ACTIVE: + return + + error_messages = { + ModelStatus.NO_CONFIGURE: "Model is not configured", + ModelStatus.QUOTA_EXCEEDED: "Model quota has been exceeded", + ModelStatus.NO_PERMISSION: "No permission to use this model", + ModelStatus.DISABLED: "Model is disabled", + } + + if self.status in error_messages: + raise ValueError(error_messages[self.status]) + class ModelWithProviderEntity(ProviderModelWithStatusEntity): """ diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py index 81d582fb9a..66d8d0f414 100644 --- a/api/core/entities/provider_configuration.py +++ b/api/core/entities/provider_configuration.py @@ -754,7 +754,7 @@ class ProviderConfiguration(BaseModel): :param only_active: return active model only :return: """ - provider_models = self.get_provider_models(model_type, only_active) + provider_models = self.get_provider_models(model_type, only_active, model) for provider_model in provider_models: if provider_model.model == model: @@ -763,12 +763,13 @@ class ProviderConfiguration(BaseModel): return None def get_provider_models( - self, model_type: Optional[ModelType] = None, only_active: bool = False + self, model_type: Optional[ModelType] = None, only_active: bool = False, model: Optional[str] = None ) -> list[ModelWithProviderEntity]: """ Get provider models. :param model_type: model type :param only_active: only active models + :param model: model name :return: """ model_provider_factory = ModelProviderFactory(self.tenant_id) @@ -791,7 +792,10 @@ class ProviderConfiguration(BaseModel): ) else: provider_models = self._get_custom_provider_models( - model_types=model_types, provider_schema=provider_schema, model_setting_map=model_setting_map + model_types=model_types, + provider_schema=provider_schema, + model_setting_map=model_setting_map, + model=model, ) if only_active: @@ -943,6 +947,7 @@ class ProviderConfiguration(BaseModel): model_types: Sequence[ModelType], provider_schema: ProviderEntity, model_setting_map: dict[ModelType, dict[str, ModelSettings]], + model: Optional[str] = None, ) -> list[ModelWithProviderEntity]: """ Get custom provider models. @@ -995,7 +1000,8 @@ class ProviderConfiguration(BaseModel): for model_configuration in self.custom_configuration.models: if model_configuration.model_type not in model_types: continue - + if model and model != model_configuration.model: + continue try: custom_model_schema = self.get_model_schema( model_type=model_configuration.model_type, diff --git a/api/core/extension/extensible.py b/api/core/extension/extensible.py index 231743bf2a..06fdb089d4 100644 --- a/api/core/extension/extensible.py +++ b/api/core/extension/extensible.py @@ -41,45 +41,53 @@ class Extensible: extensions = [] position_map: dict[str, int] = {} - # get the path of the current class - current_path = os.path.abspath(cls.__module__.replace(".", os.path.sep) + ".py") - current_dir_path = os.path.dirname(current_path) - - # traverse subdirectories - for subdir_name in os.listdir(current_dir_path): - if subdir_name.startswith("__"): - continue - - subdir_path = os.path.join(current_dir_path, subdir_name) - extension_name = subdir_name - if os.path.isdir(subdir_path): + # Get the package name from the module path + package_name = ".".join(cls.__module__.split(".")[:-1]) + + try: + # Get package directory path + package_spec = importlib.util.find_spec(package_name) + if not package_spec or not package_spec.origin: + raise ImportError(f"Could not find package {package_name}") + + package_dir = os.path.dirname(package_spec.origin) + + # Traverse subdirectories + for subdir_name in os.listdir(package_dir): + if subdir_name.startswith("__"): + continue + + subdir_path = os.path.join(package_dir, subdir_name) + if not os.path.isdir(subdir_path): + continue + + extension_name = subdir_name file_names = os.listdir(subdir_path) - # is builtin extension, builtin extension - # in the front-end page and business logic, there are special treatments. + # Check for extension module file + if (extension_name + ".py") not in file_names: + logging.warning(f"Missing {extension_name}.py file in {subdir_path}, Skip.") + continue + + # Check for builtin flag and position builtin = False - # default position is 0 can not be None for sort_to_dict_by_position_map position = 0 if "__builtin__" in file_names: builtin = True - builtin_file_path = os.path.join(subdir_path, "__builtin__") if os.path.exists(builtin_file_path): position = int(Path(builtin_file_path).read_text(encoding="utf-8").strip()) position_map[extension_name] = position - if (extension_name + ".py") not in file_names: - logging.warning(f"Missing {extension_name}.py file in {subdir_path}, Skip.") - continue - - # Dynamic loading {subdir_name}.py file and find the subclass of Extensible - py_path = os.path.join(subdir_path, extension_name + ".py") - spec = importlib.util.spec_from_file_location(extension_name, py_path) + # Import the extension module + module_name = f"{package_name}.{extension_name}.{extension_name}" + spec = importlib.util.find_spec(module_name) if not spec or not spec.loader: - raise Exception(f"Failed to load module {extension_name} from {py_path}") + raise ImportError(f"Failed to load module {module_name}") mod = importlib.util.module_from_spec(spec) spec.loader.exec_module(mod) + # Find extension class extension_class = None for name, obj in vars(mod).items(): if isinstance(obj, type) and issubclass(obj, cls) and obj != cls: @@ -87,21 +95,21 @@ class Extensible: break if not extension_class: - logging.warning(f"Missing subclass of {cls.__name__} in {py_path}, Skip.") + logging.warning(f"Missing subclass of {cls.__name__} in {module_name}, Skip.") continue + # Load schema if not builtin json_data: dict[str, Any] = {} if not builtin: - if "schema.json" not in file_names: + json_path = os.path.join(subdir_path, "schema.json") + if not os.path.exists(json_path): logging.warning(f"Missing schema.json file in {subdir_path}, Skip.") continue - json_path = os.path.join(subdir_path, "schema.json") - json_data = {} - if os.path.exists(json_path): - with open(json_path, encoding="utf-8") as f: - json_data = json.load(f) + with open(json_path, encoding="utf-8") as f: + json_data = json.load(f) + # Create extension extensions.append( ModuleExtension( extension_class=extension_class, @@ -113,6 +121,11 @@ class Extensible: ) ) + except Exception as e: + logging.exception("Error scanning extensions") + raise + + # Sort extensions by position sorted_extensions = sort_to_dict_by_position_map( position_map=position_map, data=extensions, name_func=lambda x: x.name ) diff --git a/api/core/helper/code_executor/code_executor.py b/api/core/helper/code_executor/code_executor.py index 5bb045cce9..2b580cb373 100644 --- a/api/core/helper/code_executor/code_executor.py +++ b/api/core/helper/code_executor/code_executor.py @@ -15,6 +15,7 @@ from core.helper.code_executor.python3.python3_transformer import Python3Templat from core.helper.code_executor.template_transformer import TemplateTransformer logger = logging.getLogger(__name__) +code_execution_endpoint_url = URL(str(dify_config.CODE_EXECUTION_ENDPOINT)) class CodeExecutionError(Exception): @@ -64,7 +65,7 @@ class CodeExecutor: :param code: code :return: """ - url = URL(str(dify_config.CODE_EXECUTION_ENDPOINT)) / "v1" / "sandbox" / "run" + url = code_execution_endpoint_url / "v1" / "sandbox" / "run" headers = {"X-Api-Key": dify_config.CODE_EXECUTION_API_KEY} diff --git a/api/core/helper/marketplace.py b/api/core/helper/marketplace.py index f4129b88ed..65bf4fc1db 100644 --- a/api/core/helper/marketplace.py +++ b/api/core/helper/marketplace.py @@ -7,29 +7,28 @@ from configs import dify_config from core.helper.download import download_with_size_limit from core.plugin.entities.marketplace import MarketplacePluginDeclaration +marketplace_api_url = URL(str(dify_config.MARKETPLACE_API_URL)) -def get_plugin_pkg_url(plugin_unique_identifier: str): - return (URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/download").with_query( - unique_identifier=plugin_unique_identifier - ) + +def get_plugin_pkg_url(plugin_unique_identifier: str) -> str: + return str((marketplace_api_url / "api/v1/plugins/download").with_query(unique_identifier=plugin_unique_identifier)) def download_plugin_pkg(plugin_unique_identifier: str): - url = str(get_plugin_pkg_url(plugin_unique_identifier)) - return download_with_size_limit(url, dify_config.PLUGIN_MAX_PACKAGE_SIZE) + return download_with_size_limit(get_plugin_pkg_url(plugin_unique_identifier), dify_config.PLUGIN_MAX_PACKAGE_SIZE) def batch_fetch_plugin_manifests(plugin_ids: list[str]) -> Sequence[MarketplacePluginDeclaration]: if len(plugin_ids) == 0: return [] - url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/batch") + url = str(marketplace_api_url / "api/v1/plugins/batch") response = requests.post(url, json={"plugin_ids": plugin_ids}) response.raise_for_status() return [MarketplacePluginDeclaration(**plugin) for plugin in response.json()["data"]["plugins"]] def record_install_plugin_event(plugin_unique_identifier: str): - url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/stats/plugins/install_count") + url = str(marketplace_api_url / "api/v1/stats/plugins/install_count") response = requests.post(url, json={"unique_identifier": plugin_unique_identifier}) response.raise_for_status() diff --git a/api/core/llm_generator/llm_generator.py b/api/core/llm_generator/llm_generator.py index e5dbc30689..e01896a491 100644 --- a/api/core/llm_generator/llm_generator.py +++ b/api/core/llm_generator/llm_generator.py @@ -51,15 +51,19 @@ class LLMGenerator: response = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=list(prompts), model_parameters={"max_tokens": 100, "temperature": 1}, stream=False + prompt_messages=list(prompts), model_parameters={"max_tokens": 500, "temperature": 1}, stream=False ), ) answer = cast(str, response.message.content) cleaned_answer = re.sub(r"^.*(\{.*\}).*$", r"\1", answer, flags=re.DOTALL) if cleaned_answer is None: return "" - result_dict = json.loads(cleaned_answer) - answer = result_dict["Your Output"] + try: + result_dict = json.loads(cleaned_answer) + answer = result_dict["Your Output"] + except json.JSONDecodeError as e: + logging.exception("Failed to generate name after answer, use query instead") + answer = query name = answer.strip() if len(name) > 75: diff --git a/api/core/llm_generator/prompts.py b/api/core/llm_generator/prompts.py index 34ea3aec26..ddfa1e7a66 100644 --- a/api/core/llm_generator/prompts.py +++ b/api/core/llm_generator/prompts.py @@ -1,61 +1,20 @@ -# Written by YORKI MINAKO🤡, Edited by Xiaoyi -CONVERSATION_TITLE_PROMPT = """You need to decompose the user's input into "subject" and "intention" in order to accurately figure out what the user's input language actually is. -Notice: the language type user uses could be diverse, which can be English, Chinese, Italian, Español, Arabic, Japanese, French, and etc. -ENSURE your output is in the SAME language as the user's input! -Your output is restricted only to: (Input language) Intention + Subject(short as possible) -Your output MUST be a valid JSON. +# Written by YORKI MINAKO🤡, Edited by Xiaoyi, Edited by yasu-oh +CONVERSATION_TITLE_PROMPT = """You are asked to generate a concise chat title by decomposing the user’s input into two parts: “Intention” and “Subject”. -Tip: When the user's question is directed at you (the language model), you can add an emoji to make it more fun. +1. Detect Input Language +Automatically identify the language of the user’s input (e.g. English, Chinese, Italian, Español, Arabic, Japanese, French, and etc.). +2. Generate Title +- Combine Intention + Subject into a single, as-short-as-possible phrase. +- The title must be natural, friendly, and in the same language as the input. +- If the input is a direct question to the model, you may add an emoji at the end. -example 1: -User Input: hi, yesterday i had some burgers. +3. Output Format +Return **only** a valid JSON object with these exact keys and no additional text: { - "Language Type": "The user's input is pure English", - "Your Reasoning": "The language of my output must be pure English.", - "Your Output": "sharing yesterday's food" -} - -example 2: -User Input: hello -{ - "Language Type": "The user's input is pure English", - "Your Reasoning": "The language of my output must be pure English.", - "Your Output": "Greeting myself☺️" -} - - -example 3: -User Input: why mmap file: oom -{ - "Language Type": "The user's input is written in pure English", - "Your Reasoning": "The language of my output must be pure English.", - "Your Output": "Asking about the reason for mmap file: oom" -} - - -example 4: -User Input: www.convinceme.yesterday-you-ate-seafood.tv讲了什么？ -{ - "Language Type": "The user's input English-Chinese mixed", - "Your Reasoning": "The English-part is an URL, the main intention is still written in Chinese, so the language of my output must be using Chinese.", - "Your Output": "询问网站www.convinceme.yesterday-you-ate-seafood.tv" -} - -example 5: -User Input: why小红的年龄is老than小明？ -{ - "Language Type": "The user's input is English-Chinese mixed", - "Your Reasoning": "The English parts are filler words, the main intention is written in Chinese, besides, Chinese occupies a greater \"actual meaning\" than English, so the language of my output must be using Chinese.", - "Your Output": "询问小红和小明的年龄" -} - -example 6: -User Input: yo, 你今天咋样？ -{ - "Language Type": "The user's input is English-Chinese mixed", - "Your Reasoning": "The English-part is a subjective particle, the main intention is written in Chinese, so the language of my output must be using Chinese.", - "Your Output": "查询今日我的状态☺️" + "Language Type": "", + "Your Reasoning": "", + "Your Output": "" } User Input: diff --git a/api/core/model_runtime/entities/llm_entities.py b/api/core/model_runtime/entities/llm_entities.py index 9bb118622b..de5a748d4f 100644 --- a/api/core/model_runtime/entities/llm_entities.py +++ b/api/core/model_runtime/entities/llm_entities.py @@ -17,19 +17,6 @@ class LLMMode(StrEnum): COMPLETION = "completion" CHAT = "chat" - @classmethod - def value_of(cls, value: str) -> "LLMMode": - """ - Get value of given mode. - - :param value: mode value - :return: mode - """ - for mode in cls: - if mode.value == value: - return mode - raise ValueError(f"invalid mode value {value}") - class LLMUsage(ModelUsage): """ diff --git a/api/core/model_runtime/entities/model_entities.py b/api/core/model_runtime/entities/model_entities.py index 373ef2bbe2..568149cc37 100644 --- a/api/core/model_runtime/entities/model_entities.py +++ b/api/core/model_runtime/entities/model_entities.py @@ -160,6 +160,10 @@ class ProviderModel(BaseModel): deprecated: bool = False model_config = ConfigDict(protected_namespaces=()) + @property + def support_structure_output(self) -> bool: + return self.features is not None and ModelFeature.STRUCTURED_OUTPUT in self.features + class ParameterRule(BaseModel): """ diff --git a/api/core/model_runtime/utils/encoders.py b/api/core/model_runtime/utils/encoders.py index 03e3506271..a5c11aeeba 100644 --- a/api/core/model_runtime/utils/encoders.py +++ b/api/core/model_runtime/utils/encoders.py @@ -129,17 +129,18 @@ def jsonable_encoder( sqlalchemy_safe=sqlalchemy_safe, ) if dataclasses.is_dataclass(obj): - # FIXME: mypy error, try to fix it instead of using type: ignore - obj_dict = dataclasses.asdict(obj) # type: ignore - return jsonable_encoder( - obj_dict, - by_alias=by_alias, - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - exclude_none=exclude_none, - custom_encoder=custom_encoder, - sqlalchemy_safe=sqlalchemy_safe, - ) + # Ensure obj is a dataclass instance, not a dataclass type + if not isinstance(obj, type): + obj_dict = dataclasses.asdict(obj) + return jsonable_encoder( + obj_dict, + by_alias=by_alias, + exclude_unset=exclude_unset, + exclude_defaults=exclude_defaults, + exclude_none=exclude_none, + custom_encoder=custom_encoder, + sqlalchemy_safe=sqlalchemy_safe, + ) if isinstance(obj, Enum): return obj.value if isinstance(obj, PurePath): diff --git a/api/core/ops/base_trace_instance.py b/api/core/ops/base_trace_instance.py index f7b882fc71..8593198bc2 100644 --- a/api/core/ops/base_trace_instance.py +++ b/api/core/ops/base_trace_instance.py @@ -1,7 +1,11 @@ from abc import ABC, abstractmethod +from sqlalchemy.orm import Session + from core.ops.entities.config_entity import BaseTracingConfig from core.ops.entities.trace_entity import BaseTraceInfo +from extensions.ext_database import db +from models import Account, App, TenantAccountJoin class BaseTraceInstance(ABC): @@ -24,3 +28,38 @@ class BaseTraceInstance(ABC): Subclasses must implement specific tracing logic for activities. """ ... + + def get_service_account_with_tenant(self, app_id: str) -> Account: + """ + Get service account for an app and set up its tenant. + + Args: + app_id: The ID of the app + + Returns: + Account: The service account with tenant set up + + Raises: + ValueError: If app, creator account or tenant cannot be found + """ + with Session(db.engine, expire_on_commit=False) as session: + # Get the app to find its creator + app = session.query(App).filter(App.id == app_id).first() + if not app: + raise ValueError(f"App with id {app_id} not found") + + if not app.created_by: + raise ValueError(f"App with id {app_id} has no creator (created_by is None)") + + service_account = session.query(Account).filter(Account.id == app.created_by).first() + if not service_account: + raise ValueError(f"Creator account with id {app.created_by} not found for app {app_id}") + + current_tenant = ( + session.query(TenantAccountJoin).filter_by(account_id=service_account.id, current=True).first() + ) + if not current_tenant: + raise ValueError(f"Current tenant not found for account {service_account.id}") + service_account.set_tenant_id(current_tenant.tenant_id) + + return service_account diff --git a/api/core/ops/entities/trace_entity.py b/api/core/ops/entities/trace_entity.py index f0e34c0cd7..151fa2aaf4 100644 --- a/api/core/ops/entities/trace_entity.py +++ b/api/core/ops/entities/trace_entity.py @@ -3,7 +3,7 @@ from datetime import datetime from enum import StrEnum from typing import Any, Optional, Union -from pydantic import BaseModel, ConfigDict, field_validator +from pydantic import BaseModel, ConfigDict, field_serializer, field_validator class BaseTraceInfo(BaseModel): @@ -24,10 +24,13 @@ class BaseTraceInfo(BaseModel): return v return "" - class Config: - json_encoders = { - datetime: lambda v: v.isoformat(), - } + model_config = ConfigDict(protected_namespaces=()) + + @field_serializer("start_time", "end_time") + def serialize_datetime(self, dt: datetime | None) -> str | None: + if dt is None: + return None + return dt.isoformat() class WorkflowTraceInfo(BaseTraceInfo): diff --git a/api/core/ops/langfuse_trace/langfuse_trace.py b/api/core/ops/langfuse_trace/langfuse_trace.py index 120c36f53d..0ea74e9ef0 100644 --- a/api/core/ops/langfuse_trace/langfuse_trace.py +++ b/api/core/ops/langfuse_trace/langfuse_trace.py @@ -4,7 +4,7 @@ from datetime import datetime, timedelta from typing import Optional from langfuse import Langfuse # type: ignore -from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import LangfuseConfig @@ -31,7 +31,7 @@ from core.ops.utils import filter_none_values from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from core.workflow.nodes.enums import NodeType from extensions.ext_database import db -from models import Account, App, EndUser, WorkflowNodeExecutionTriggeredFrom +from models import EndUser, WorkflowNodeExecutionTriggeredFrom logger = logging.getLogger(__name__) @@ -114,22 +114,11 @@ class LangFuseDataTrace(BaseTraceInstance): # through workflow_run_id get all_nodes_execution using repository session_factory = sessionmaker(bind=db.engine) # Find the app's creator account - with Session(db.engine, expire_on_commit=False) as session: - # Get the app to find its creator - app_id = trace_info.metadata.get("app_id") - if not app_id: - raise ValueError("No app_id found in trace_info metadata") - - app = session.query(App).filter(App.id == app_id).first() - if not app: - raise ValueError(f"App with id {app_id} not found") - - if not app.created_by: - raise ValueError(f"App with id {app_id} has no creator (created_by is None)") - - service_account = session.query(Account).filter(Account.id == app.created_by).first() - if not service_account: - raise ValueError(f"Creator account with id {app.created_by} not found for app {app_id}") + app_id = trace_info.metadata.get("app_id") + if not app_id: + raise ValueError("No app_id found in trace_info metadata") + + service_account = self.get_service_account_with_tenant(app_id) workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, diff --git a/api/core/ops/langsmith_trace/langsmith_trace.py b/api/core/ops/langsmith_trace/langsmith_trace.py index 6631727c79..8a392940db 100644 --- a/api/core/ops/langsmith_trace/langsmith_trace.py +++ b/api/core/ops/langsmith_trace/langsmith_trace.py @@ -6,7 +6,7 @@ from typing import Optional, cast from langsmith import Client from langsmith.schemas import RunBase -from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import LangSmithConfig @@ -28,10 +28,10 @@ from core.ops.langsmith_trace.entities.langsmith_trace_entity import ( ) from core.ops.utils import filter_none_values, generate_dotted_order from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.entities.node_entities import NodeRunMetadataKey +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.nodes.enums import NodeType from extensions.ext_database import db -from models import Account, App, EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom +from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom logger = logging.getLogger(__name__) @@ -139,22 +139,11 @@ class LangSmithDataTrace(BaseTraceInstance): # through workflow_run_id get all_nodes_execution using repository session_factory = sessionmaker(bind=db.engine) # Find the app's creator account - with Session(db.engine, expire_on_commit=False) as session: - # Get the app to find its creator - app_id = trace_info.metadata.get("app_id") - if not app_id: - raise ValueError("No app_id found in trace_info metadata") + app_id = trace_info.metadata.get("app_id") + if not app_id: + raise ValueError("No app_id found in trace_info metadata") - app = session.query(App).filter(App.id == app_id).first() - if not app: - raise ValueError(f"App with id {app_id} not found") - - if not app.created_by: - raise ValueError(f"App with id {app_id} has no creator (created_by is None)") - - service_account = session.query(Account).filter(Account.id == app.created_by).first() - if not service_account: - raise ValueError(f"Creator account with id {app.created_by} not found for app {app_id}") + service_account = self.get_service_account_with_tenant(app_id) workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, @@ -185,7 +174,7 @@ class LangSmithDataTrace(BaseTraceInstance): finished_at = created_at + timedelta(seconds=elapsed_time) execution_metadata = node_execution.metadata if node_execution.metadata else {} - node_total_tokens = execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS) or 0 + node_total_tokens = execution_metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS) or 0 metadata = {str(key): value for key, value in execution_metadata.items()} metadata.update( { diff --git a/api/core/ops/opik_trace/opik_trace.py b/api/core/ops/opik_trace/opik_trace.py index c22df55357..f4d2760ba5 100644 --- a/api/core/ops/opik_trace/opik_trace.py +++ b/api/core/ops/opik_trace/opik_trace.py @@ -6,7 +6,7 @@ from typing import Optional, cast from opik import Opik, Trace from opik.id_helpers import uuid4_to_uuid7 -from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import OpikConfig @@ -22,10 +22,10 @@ from core.ops.entities.trace_entity import ( WorkflowTraceInfo, ) from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.entities.node_entities import NodeRunMetadataKey +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.nodes.enums import NodeType from extensions.ext_database import db -from models import Account, App, EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom +from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom logger = logging.getLogger(__name__) @@ -115,6 +115,7 @@ class OpikDataTrace(BaseTraceInstance): "metadata": workflow_metadata, "input": wrap_dict("input", trace_info.workflow_run_inputs), "output": wrap_dict("output", trace_info.workflow_run_outputs), + "thread_id": trace_info.conversation_id, "tags": ["message", "workflow"], "project_name": self.project, } @@ -144,6 +145,7 @@ class OpikDataTrace(BaseTraceInstance): "metadata": workflow_metadata, "input": wrap_dict("input", trace_info.workflow_run_inputs), "output": wrap_dict("output", trace_info.workflow_run_outputs), + "thread_id": trace_info.conversation_id, "tags": ["workflow"], "project_name": self.project, } @@ -152,22 +154,11 @@ class OpikDataTrace(BaseTraceInstance): # through workflow_run_id get all_nodes_execution using repository session_factory = sessionmaker(bind=db.engine) # Find the app's creator account - with Session(db.engine, expire_on_commit=False) as session: - # Get the app to find its creator - app_id = trace_info.metadata.get("app_id") - if not app_id: - raise ValueError("No app_id found in trace_info metadata") + app_id = trace_info.metadata.get("app_id") + if not app_id: + raise ValueError("No app_id found in trace_info metadata") - app = session.query(App).filter(App.id == app_id).first() - if not app: - raise ValueError(f"App with id {app_id} not found") - - if not app.created_by: - raise ValueError(f"App with id {app_id} has no creator (created_by is None)") - - service_account = session.query(Account).filter(Account.id == app.created_by).first() - if not service_account: - raise ValueError(f"Creator account with id {app.created_by} not found for app {app_id}") + service_account = self.get_service_account_with_tenant(app_id) workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, @@ -244,7 +235,7 @@ class OpikDataTrace(BaseTraceInstance): parent_span_id = trace_info.workflow_app_log_id or trace_info.workflow_run_id if not total_tokens: - total_tokens = execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS) or 0 + total_tokens = execution_metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS) or 0 span_data = { "trace_id": opik_trace_id, @@ -306,6 +297,7 @@ class OpikDataTrace(BaseTraceInstance): "metadata": wrap_metadata(metadata), "input": trace_info.inputs, "output": message_data.answer, + "thread_id": message_data.conversation_id, "tags": ["message", str(trace_info.conversation_mode)], "project_name": self.project, } @@ -420,6 +412,7 @@ class OpikDataTrace(BaseTraceInstance): "metadata": wrap_metadata(trace_info.metadata), "input": trace_info.inputs, "output": trace_info.outputs, + "thread_id": trace_info.conversation_id, "tags": ["generate_name"], "project_name": self.project, } diff --git a/api/core/ops/ops_trace_manager.py b/api/core/ops/ops_trace_manager.py index 8ddeb1b846..dc4cfc48db 100644 --- a/api/core/ops/ops_trace_manager.py +++ b/api/core/ops/ops_trace_manager.py @@ -30,6 +30,7 @@ from core.ops.entities.trace_entity import ( WorkflowTraceInfo, ) from core.ops.utils import get_message_data +from core.workflow.entities.workflow_execution import WorkflowExecution from extensions.ext_database import db from extensions.ext_storage import storage from models.model import App, AppModelConfig, Conversation, Message, MessageFile, TraceAppConfig @@ -234,7 +235,11 @@ class OpsTraceManager: return None tracing_provider = app_ops_trace_config.get("tracing_provider") - if tracing_provider is None or tracing_provider not in provider_config_map: + if tracing_provider is None: + return None + try: + provider_config_map[tracing_provider] + except KeyError: return None # decrypt_token @@ -287,10 +292,14 @@ class OpsTraceManager: :return: """ # auth check - try: - provider_config_map[tracing_provider] - except KeyError: - raise ValueError(f"Invalid tracing provider: {tracing_provider}") + if enabled == True: + try: + provider_config_map[tracing_provider] + except KeyError: + raise ValueError(f"Invalid tracing provider: {tracing_provider}") + else: + if tracing_provider is not None: + raise ValueError(f"Invalid tracing provider: {tracing_provider}") app_config: Optional[App] = db.session.query(App).filter(App.id == app_id).first() if not app_config: @@ -369,7 +378,7 @@ class TraceTask: self, trace_type: Any, message_id: Optional[str] = None, - workflow_run: Optional[WorkflowRun] = None, + workflow_execution: Optional[WorkflowExecution] = None, conversation_id: Optional[str] = None, user_id: Optional[str] = None, timer: Optional[Any] = None, @@ -377,7 +386,7 @@ class TraceTask: ): self.trace_type = trace_type self.message_id = message_id - self.workflow_run_id = workflow_run.id if workflow_run else None + self.workflow_run_id = workflow_execution.id_ if workflow_execution else None self.conversation_id = conversation_id self.user_id = user_id self.timer = timer @@ -478,6 +487,7 @@ class TraceTask: "file_list": file_list, "triggered_from": workflow_run.triggered_from, "user_id": user_id, + "app_id": workflow_run.app_id, } workflow_trace_info = WorkflowTraceInfo( diff --git a/api/core/ops/weave_trace/weave_trace.py b/api/core/ops/weave_trace/weave_trace.py index a4f38dfbba..cfc8a505bb 100644 --- a/api/core/ops/weave_trace/weave_trace.py +++ b/api/core/ops/weave_trace/weave_trace.py @@ -6,7 +6,7 @@ from typing import Any, Optional, cast import wandb import weave -from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import WeaveConfig @@ -23,10 +23,10 @@ from core.ops.entities.trace_entity import ( ) from core.ops.weave_trace.entities.weave_trace_entity import WeaveTraceModel from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.entities.node_entities import NodeRunMetadataKey +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey from core.workflow.nodes.enums import NodeType from extensions.ext_database import db -from models import Account, App, EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom +from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom logger = logging.getLogger(__name__) @@ -133,22 +133,11 @@ class WeaveDataTrace(BaseTraceInstance): # through workflow_run_id get all_nodes_execution using repository session_factory = sessionmaker(bind=db.engine) # Find the app's creator account - with Session(db.engine, expire_on_commit=False) as session: - # Get the app to find its creator - app_id = trace_info.metadata.get("app_id") - if not app_id: - raise ValueError("No app_id found in trace_info metadata") + app_id = trace_info.metadata.get("app_id") + if not app_id: + raise ValueError("No app_id found in trace_info metadata") - app = session.query(App).filter(App.id == app_id).first() - if not app: - raise ValueError(f"App with id {app_id} not found") - - if not app.created_by: - raise ValueError(f"App with id {app_id} has no creator (created_by is None)") - - service_account = session.query(Account).filter(Account.id == app.created_by).first() - if not service_account: - raise ValueError(f"Creator account with id {app.created_by} not found for app {app_id}") + service_account = self.get_service_account_with_tenant(app_id) workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository( session_factory=session_factory, @@ -179,7 +168,7 @@ class WeaveDataTrace(BaseTraceInstance): finished_at = created_at + timedelta(seconds=elapsed_time) execution_metadata = node_execution.metadata if node_execution.metadata else {} - node_total_tokens = execution_metadata.get(NodeRunMetadataKey.TOTAL_TOKENS) or 0 + node_total_tokens = execution_metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS) or 0 attributes = {str(k): v for k, v in execution_metadata.items()} attributes.update( { diff --git a/api/core/plugin/backwards_invocation/model.py b/api/core/plugin/backwards_invocation/model.py index 5ec9620f22..17cfaf2edf 100644 --- a/api/core/plugin/backwards_invocation/model.py +++ b/api/core/plugin/backwards_invocation/model.py @@ -58,6 +58,7 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation): LLMNode.deduct_llm_quota( tenant_id=tenant.id, model_instance=model_instance, usage=chunk.delta.usage ) + chunk.prompt_messages = [] yield chunk return handle() @@ -68,7 +69,7 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation): def handle_non_streaming(response: LLMResult) -> Generator[LLMResultChunk, None, None]: yield LLMResultChunk( model=response.model, - prompt_messages=response.prompt_messages, + prompt_messages=[], system_fingerprint=response.system_fingerprint, delta=LLMResultChunkDelta( index=0, diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py index 2bea07bea0..e9275c31cc 100644 --- a/api/core/plugin/entities/plugin_daemon.py +++ b/api/core/plugin/entities/plugin_daemon.py @@ -9,7 +9,7 @@ from core.agent.plugin_entities import AgentProviderEntityWithPlugin from core.model_runtime.entities.model_entities import AIModelEntity from core.model_runtime.entities.provider_entities import ProviderEntity from core.plugin.entities.base import BasePluginEntity -from core.plugin.entities.plugin import PluginDeclaration +from core.plugin.entities.plugin import PluginDeclaration, PluginEntity from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin @@ -167,3 +167,8 @@ class PluginOAuthAuthorizationUrlResponse(BaseModel): class PluginOAuthCredentialsResponse(BaseModel): credentials: Mapping[str, Any] = Field(description="The credentials of the OAuth.") + + +class PluginListResponse(BaseModel): + list: list[PluginEntity] + total: int diff --git a/api/core/plugin/impl/base.py b/api/core/plugin/impl/base.py index 591e7b0525..7375726fa9 100644 --- a/api/core/plugin/impl/base.py +++ b/api/core/plugin/impl/base.py @@ -6,6 +6,7 @@ from typing import TypeVar import requests from pydantic import BaseModel +from requests.exceptions import HTTPError from yarl import URL from configs import dify_config @@ -30,8 +31,7 @@ from core.plugin.impl.exc import ( PluginUniqueIdentifierError, ) -plugin_daemon_inner_api_baseurl = dify_config.PLUGIN_DAEMON_URL -plugin_daemon_inner_api_key = dify_config.PLUGIN_DAEMON_KEY +plugin_daemon_inner_api_baseurl = URL(str(dify_config.PLUGIN_DAEMON_URL)) T = TypeVar("T", bound=(BaseModel | dict | list | bool | str)) @@ -52,9 +52,9 @@ class BasePluginClient: """ Make a request to the plugin daemon inner API. """ - url = URL(str(plugin_daemon_inner_api_baseurl)) / path + url = plugin_daemon_inner_api_baseurl / path headers = headers or {} - headers["X-Api-Key"] = plugin_daemon_inner_api_key + headers["X-Api-Key"] = dify_config.PLUGIN_DAEMON_KEY headers["Accept-Encoding"] = "gzip, deflate, br" if headers.get("Content-Type") == "application/json" and isinstance(data, dict): @@ -136,12 +136,31 @@ class BasePluginClient: """ Make a request to the plugin daemon inner API and return the response as a model. """ - response = self._request(method, path, headers, data, params, files) - json_response = response.json() - if transformer: - json_response = transformer(json_response) + try: + response = self._request(method, path, headers, data, params, files) + response.raise_for_status() + except HTTPError as e: + msg = f"Failed to request plugin daemon, status: {e.response.status_code}, url: {path}" + logging.exception(msg) + raise e + except Exception as e: + msg = f"Failed to request plugin daemon, url: {path}" + logging.exception(msg) + raise ValueError(msg) from e + + try: + json_response = response.json() + if transformer: + json_response = transformer(json_response) + rep = PluginDaemonBasicResponse[type](**json_response) # type: ignore + except Exception: + msg = ( + f"Failed to parse response from plugin daemon to PluginDaemonBasicResponse [{str(type.__name__)}]," + f" url: {path}" + ) + logging.exception(msg) + raise ValueError(msg) - rep = PluginDaemonBasicResponse[type](**json_response) # type: ignore if rep.code != 0: try: error = PluginDaemonError(**json.loads(rep.message)) diff --git a/api/core/plugin/impl/plugin.py b/api/core/plugin/impl/plugin.py index 3349463ce5..1cd2dc1be7 100644 --- a/api/core/plugin/impl/plugin.py +++ b/api/core/plugin/impl/plugin.py @@ -9,7 +9,12 @@ from core.plugin.entities.plugin import ( PluginInstallation, PluginInstallationSource, ) -from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginInstallTaskStartResponse, PluginUploadResponse +from core.plugin.entities.plugin_daemon import ( + PluginInstallTask, + PluginInstallTaskStartResponse, + PluginListResponse, + PluginUploadResponse, +) from core.plugin.impl.base import BasePluginClient @@ -27,12 +32,21 @@ class PluginInstaller(BasePluginClient): ) def list_plugins(self, tenant_id: str) -> list[PluginEntity]: - return self._request_with_plugin_daemon_response( + result = self._request_with_plugin_daemon_response( "GET", f"plugin/{tenant_id}/management/list", - list[PluginEntity], + PluginListResponse, params={"page": 1, "page_size": 256}, ) + return result.list + + def list_plugins_with_total(self, tenant_id: str, page: int, page_size: int) -> PluginListResponse: + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/list", + PluginListResponse, + params={"page": page, "page_size": page_size}, + ) def upload_pkg( self, diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py index 7570200175..488a394679 100644 --- a/api/core/provider_manager.py +++ b/api/core/provider_manager.py @@ -3,7 +3,9 @@ from collections import defaultdict from json import JSONDecodeError from typing import Any, Optional, cast +from sqlalchemy import select from sqlalchemy.exc import IntegrityError +from sqlalchemy.orm import Session from configs import dify_config from core.entities.model_entities import DefaultModelEntity, DefaultModelProviderEntity @@ -393,19 +395,13 @@ class ProviderManager: @staticmethod def _get_all_providers(tenant_id: str) -> dict[str, list[Provider]]: - """ - Get all provider records of the workspace. - - :param tenant_id: workspace id - :return: - """ - providers = db.session.query(Provider).filter(Provider.tenant_id == tenant_id, Provider.is_valid == True).all() - provider_name_to_provider_records_dict = defaultdict(list) - for provider in providers: - # TODO: Use provider name with prefix after the data migration - provider_name_to_provider_records_dict[str(ModelProviderID(provider.provider_name))].append(provider) - + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(Provider).where(Provider.tenant_id == tenant_id, Provider.is_valid == True) + providers = session.scalars(stmt) + for provider in providers: + # Use provider name with prefix after the data migration + provider_name_to_provider_records_dict[str(ModelProviderID(provider.provider_name))].append(provider) return provider_name_to_provider_records_dict @staticmethod @@ -416,17 +412,12 @@ class ProviderManager: :param tenant_id: workspace id :return: """ - # Get all provider model records of the workspace - provider_models = ( - db.session.query(ProviderModel) - .filter(ProviderModel.tenant_id == tenant_id, ProviderModel.is_valid == True) - .all() - ) - provider_name_to_provider_model_records_dict = defaultdict(list) - for provider_model in provider_models: - provider_name_to_provider_model_records_dict[provider_model.provider_name].append(provider_model) - + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(ProviderModel).where(ProviderModel.tenant_id == tenant_id, ProviderModel.is_valid == True) + provider_models = session.scalars(stmt) + for provider_model in provider_models: + provider_name_to_provider_model_records_dict[provider_model.provider_name].append(provider_model) return provider_name_to_provider_model_records_dict @staticmethod @@ -437,17 +428,14 @@ class ProviderManager: :param tenant_id: workspace id :return: """ - preferred_provider_types = ( - db.session.query(TenantPreferredModelProvider) - .filter(TenantPreferredModelProvider.tenant_id == tenant_id) - .all() - ) - - provider_name_to_preferred_provider_type_records_dict = { - preferred_provider_type.provider_name: preferred_provider_type - for preferred_provider_type in preferred_provider_types - } - + provider_name_to_preferred_provider_type_records_dict = {} + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(TenantPreferredModelProvider).where(TenantPreferredModelProvider.tenant_id == tenant_id) + preferred_provider_types = session.scalars(stmt) + provider_name_to_preferred_provider_type_records_dict = { + preferred_provider_type.provider_name: preferred_provider_type + for preferred_provider_type in preferred_provider_types + } return provider_name_to_preferred_provider_type_records_dict @staticmethod @@ -458,18 +446,14 @@ class ProviderManager: :param tenant_id: workspace id :return: """ - provider_model_settings = ( - db.session.query(ProviderModelSetting).filter(ProviderModelSetting.tenant_id == tenant_id).all() - ) - provider_name_to_provider_model_settings_dict = defaultdict(list) - for provider_model_setting in provider_model_settings: - ( + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(ProviderModelSetting).where(ProviderModelSetting.tenant_id == tenant_id) + provider_model_settings = session.scalars(stmt) + for provider_model_setting in provider_model_settings: provider_name_to_provider_model_settings_dict[provider_model_setting.provider_name].append( provider_model_setting ) - ) - return provider_name_to_provider_model_settings_dict @staticmethod @@ -492,15 +476,14 @@ class ProviderManager: if not model_load_balancing_enabled: return {} - provider_load_balancing_configs = ( - db.session.query(LoadBalancingModelConfig).filter(LoadBalancingModelConfig.tenant_id == tenant_id).all() - ) - provider_name_to_provider_load_balancing_model_configs_dict = defaultdict(list) - for provider_load_balancing_config in provider_load_balancing_configs: - provider_name_to_provider_load_balancing_model_configs_dict[ - provider_load_balancing_config.provider_name - ].append(provider_load_balancing_config) + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(LoadBalancingModelConfig).where(LoadBalancingModelConfig.tenant_id == tenant_id) + provider_load_balancing_configs = session.scalars(stmt) + for provider_load_balancing_config in provider_load_balancing_configs: + provider_name_to_provider_load_balancing_model_configs_dict[ + provider_load_balancing_config.provider_name + ].append(provider_load_balancing_config) return provider_name_to_provider_load_balancing_model_configs_dict @@ -626,10 +609,9 @@ class ProviderManager: if not cached_provider_credentials: try: # fix origin data - if ( - custom_provider_record.encrypted_config - and not custom_provider_record.encrypted_config.startswith("{") - ): + if custom_provider_record.encrypted_config is None: + raise ValueError("No credentials found") + if not custom_provider_record.encrypted_config.startswith("{"): provider_credentials = {"openai_api_key": custom_provider_record.encrypted_config} else: provider_credentials = json.loads(custom_provider_record.encrypted_config) @@ -733,7 +715,7 @@ class ProviderManager: return SystemConfiguration(enabled=False) # Convert provider_records to dict - quota_type_to_provider_records_dict = {} + quota_type_to_provider_records_dict: dict[ProviderQuotaType, Provider] = {} for provider_record in provider_records: if provider_record.provider_type != ProviderType.SYSTEM.value: continue @@ -758,6 +740,11 @@ class ProviderManager: else: provider_record = quota_type_to_provider_records_dict[provider_quota.quota_type] + if provider_record.quota_used is None: + raise ValueError("quota_used is None") + if provider_record.quota_limit is None: + raise ValueError("quota_limit is None") + quota_configuration = QuotaConfiguration( quota_type=provider_quota.quota_type, quota_unit=provider_hosting_configuration.quota_unit or QuotaUnit.TOKENS, @@ -791,10 +778,9 @@ class ProviderManager: cached_provider_credentials = provider_credentials_cache.get() if not cached_provider_credentials: - try: - provider_credentials: dict[str, Any] = json.loads(provider_record.encrypted_config) - except JSONDecodeError: - provider_credentials = {} + provider_credentials: dict[str, Any] = {} + if provider_records and provider_records[0].encrypted_config: + provider_credentials = json.loads(provider_records[0].encrypted_config) # Get provider credential secret variables provider_credential_secret_variables = self._extract_secret_variables( diff --git a/api/core/rag/datasource/keyword/jieba/stopwords.py b/api/core/rag/datasource/keyword/jieba/stopwords.py index 9abe78d6ef..54b65d9a2d 100644 --- a/api/core/rag/datasource/keyword/jieba/stopwords.py +++ b/api/core/rag/datasource/keyword/jieba/stopwords.py @@ -720,7 +720,7 @@ STOPWORDS = { "〉", "〈", "…", - "　", + " ", "0", "1", "2", @@ -731,16 +731,6 @@ STOPWORDS = { "7", "8", "9", - "０", - "１", - "２", - "３", - "４", - "５", - "６", - "７", - "８", - "９", "二", "三", "四", diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py index 01f74b4a22..2c5178241c 100644 --- a/api/core/rag/datasource/retrieval_service.py +++ b/api/core/rag/datasource/retrieval_service.py @@ -405,7 +405,29 @@ class RetrievalService: record["child_chunks"] = segment_child_map[record["segment"].id].get("child_chunks") # type: ignore record["score"] = segment_child_map[record["segment"].id]["max_score"] - return [RetrievalSegments(**record) for record in records] + result = [] + for record in records: + # Extract segment + segment = record["segment"] + + # Extract child_chunks, ensuring it's a list or None + child_chunks = record.get("child_chunks") + if not isinstance(child_chunks, list): + child_chunks = None + + # Extract score, ensuring it's a float or None + score_value = record.get("score") + score = ( + float(score_value) + if score_value is not None and isinstance(score_value, int | float | str) + else None + ) + + # Create RetrievalSegments object + retrieval_segment = RetrievalSegments(segment=segment, child_chunks=child_chunks, score=score) + result.append(retrieval_segment) + + return result except Exception as e: db.session.rollback() raise e diff --git a/api/core/rag/datasource/vdb/baidu/baidu_vector.py b/api/core/rag/datasource/vdb/baidu/baidu_vector.py index 86f1f5bfe4..db7ffc9c4f 100644 --- a/api/core/rag/datasource/vdb/baidu/baidu_vector.py +++ b/api/core/rag/datasource/vdb/baidu/baidu_vector.py @@ -85,7 +85,6 @@ class BaiduVector(BaseVector): end = min(start + batch_size, total_count) rows = [] assert len(metadatas) == total_count, "metadatas length should be equal to total_count" - # FIXME do you need this assert? for i in range(start, end, 1): row = Row( id=metadatas[i].get("doc_id", str(uuid.uuid4())), diff --git a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py index 033d05a077..44cc5d3e98 100644 --- a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py +++ b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py @@ -142,7 +142,7 @@ class ElasticSearchVector(BaseVector): if score > score_threshold: if doc.metadata is not None: doc.metadata["score"] = score - docs.append(doc) + docs.append(doc) return docs diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index 7b3f826082..63de6a0603 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -97,6 +97,10 @@ class MilvusVector(BaseVector): try: milvus_version = self._client.get_server_version() + # Check if it's Zilliz Cloud - it supports full-text search with Milvus 2.5 compatibility + if "Zilliz Cloud" in milvus_version: + return True + # For standard Milvus installations, check version number return version.parse(milvus_version).base_version >= version.parse("2.5.0").base_version except Exception as e: logger.warning(f"Failed to check Milvus version: {str(e)}. Disabling hybrid search.") diff --git a/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py b/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py index e23b8d197f..6991598ce6 100644 --- a/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py +++ b/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py @@ -23,7 +23,8 @@ logger = logging.getLogger(__name__) class OpenSearchConfig(BaseModel): host: str port: int - secure: bool = False + secure: bool = False # use_ssl + verify_certs: bool = True auth_method: Literal["basic", "aws_managed_iam"] = "basic" user: Optional[str] = None password: Optional[str] = None @@ -42,6 +43,8 @@ class OpenSearchConfig(BaseModel): raise ValueError("config OPENSEARCH_AWS_REGION is required for AWS_MANAGED_IAM auth method") if not values.get("aws_service"): raise ValueError("config OPENSEARCH_AWS_SERVICE is required for AWS_MANAGED_IAM auth method") + if not values.get("OPENSEARCH_SECURE") and values.get("OPENSEARCH_VERIFY_CERTS"): + raise ValueError("verify_certs=True requires secure (HTTPS) connection") return values def create_aws_managed_iam_auth(self) -> Urllib3AWSV4SignerAuth: @@ -57,7 +60,7 @@ class OpenSearchConfig(BaseModel): params = { "hosts": [{"host": self.host, "port": self.port}], "use_ssl": self.secure, - "verify_certs": self.secure, + "verify_certs": self.verify_certs, "connection_class": Urllib3HttpConnection, "pool_maxsize": 20, } @@ -279,6 +282,7 @@ class OpenSearchVectorFactory(AbstractVectorFactory): host=dify_config.OPENSEARCH_HOST or "localhost", port=dify_config.OPENSEARCH_PORT, secure=dify_config.OPENSEARCH_SECURE, + verify_certs=dify_config.OPENSEARCH_VERIFY_CERTS, auth_method=dify_config.OPENSEARCH_AUTH_METHOD.value, user=dify_config.OPENSEARCH_USER, password=dify_config.OPENSEARCH_PASSWORD, diff --git a/api/core/rag/datasource/vdb/oracle/oraclevector.py b/api/core/rag/datasource/vdb/oracle/oraclevector.py index 0a3738ac93..6b9dd9c561 100644 --- a/api/core/rag/datasource/vdb/oracle/oraclevector.py +++ b/api/core/rag/datasource/vdb/oracle/oraclevector.py @@ -261,7 +261,7 @@ class OracleVector(BaseVector): words = pseg.cut(query) current_entity = "" for word, pos in words: - if pos in {"nr", "Ng", "eng", "nz", "n", "ORG", "v"}: # nr: 人名, ns: 地名, nt: 机构名 + if pos in {"nr", "Ng", "eng", "nz", "n", "ORG", "v"}: # nr: 人名，ns: 地名，nt: 机构名 current_entity += word else: if current_entity: diff --git a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py index 1e040f415e..8ce194c683 100644 --- a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py +++ b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py @@ -46,6 +46,7 @@ class QdrantConfig(BaseModel): root_path: Optional[str] = None grpc_port: int = 6334 prefer_grpc: bool = False + replication_factor: int = 1 def to_qdrant_params(self): if self.endpoint and self.endpoint.startswith("path:"): @@ -119,11 +120,13 @@ class QdrantVector(BaseVector): max_indexing_threads=0, on_disk=False, ) + self._client.create_collection( collection_name=collection_name, vectors_config=vectors_config, hnsw_config=hnsw_config, timeout=int(self._client_config.timeout), + replication_factor=self._client_config.replication_factor, ) # create group_id payload index @@ -466,5 +469,6 @@ class QdrantVectorFactory(AbstractVectorFactory): timeout=dify_config.QDRANT_CLIENT_TIMEOUT, grpc_port=dify_config.QDRANT_GRPC_PORT, prefer_grpc=dify_config.QDRANT_GRPC_ENABLED, + replication_factor=dify_config.QDRANT_REPLICATION_FACTOR, ), ) diff --git a/api/core/rag/datasource/vdb/tencent/tencent_vector.py b/api/core/rag/datasource/vdb/tencent/tencent_vector.py index e266659075..d2bf3eb92a 100644 --- a/api/core/rag/datasource/vdb/tencent/tencent_vector.py +++ b/api/core/rag/datasource/vdb/tencent/tencent_vector.py @@ -271,12 +271,15 @@ class TencentVector(BaseVector): for result in res[0]: meta = result.get(self.field_metadata) + if isinstance(meta, str): + # Compatible with version 1.1.3 and below. + meta = json.loads(meta) + score = 1 - result.get("score", 0.0) score = result.get("score", 0.0) if score > score_threshold: meta["score"] = score doc = Document(page_content=result.get(self.field_text), metadata=meta) docs.append(doc) - return docs def delete(self) -> None: diff --git a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py index 6a61fe9496..6f895b12af 100644 --- a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py +++ b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py @@ -49,6 +49,7 @@ class TidbOnQdrantConfig(BaseModel): root_path: Optional[str] = None grpc_port: int = 6334 prefer_grpc: bool = False + replication_factor: int = 1 def to_qdrant_params(self): if self.endpoint and self.endpoint.startswith("path:"): @@ -134,6 +135,7 @@ class TidbOnQdrantVector(BaseVector): vectors_config=vectors_config, hnsw_config=hnsw_config, timeout=int(self._client_config.timeout), + replication_factor=self._client_config.replication_factor, ) # create group_id payload index @@ -484,6 +486,7 @@ class TidbOnQdrantVectorFactory(AbstractVectorFactory): timeout=dify_config.TIDB_ON_QDRANT_CLIENT_TIMEOUT, grpc_port=dify_config.TIDB_ON_QDRANT_GRPC_PORT, prefer_grpc=dify_config.TIDB_ON_QDRANT_GRPC_ENABLED, + replication_factor=dify_config.QDRANT_REPLICATION_FACTOR, ), ) diff --git a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py index 3958280bd5..184b5f2142 100644 --- a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py +++ b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py @@ -245,4 +245,4 @@ class TidbService: return cluster_infos else: response.raise_for_status() - return [] # FIXME for mypy, This line will not be reached as raise_for_status() will raise an exception + return [] diff --git a/api/core/rag/entities/citation_metadata.py b/api/core/rag/entities/citation_metadata.py new file mode 100644 index 0000000000..00120425c9 --- /dev/null +++ b/api/core/rag/entities/citation_metadata.py @@ -0,0 +1,23 @@ +from typing import Any, Optional + +from pydantic import BaseModel + + +class RetrievalSourceMetadata(BaseModel): + position: Optional[int] = None + dataset_id: Optional[str] = None + dataset_name: Optional[str] = None + document_id: Optional[str] = None + document_name: Optional[str] = None + data_source_type: Optional[str] = None + segment_id: Optional[str] = None + retriever_from: Optional[str] = None + score: Optional[float] = None + hit_count: Optional[int] = None + word_count: Optional[int] = None + segment_position: Optional[int] = None + index_node_hash: Optional[str] = None + content: Optional[str] = None + page: Optional[int] = None + doc_metadata: Optional[dict[str, Any]] = None + title: Optional[str] = None diff --git a/api/core/rag/extractor/entity/extract_setting.py b/api/core/rag/extractor/entity/extract_setting.py index 7c00c668dd..1593ad1475 100644 --- a/api/core/rag/extractor/entity/extract_setting.py +++ b/api/core/rag/extractor/entity/extract_setting.py @@ -27,6 +27,8 @@ class WebsiteInfo(BaseModel): website import info. """ + model_config = ConfigDict(arbitrary_types_allowed=True) + provider: str job_id: str url: str @@ -34,12 +36,6 @@ class WebsiteInfo(BaseModel): tenant_id: str only_main_content: bool = False - class Config: - arbitrary_types_allowed = True - - def __init__(self, **data) -> None: - super().__init__(**data) - class ExtractSetting(BaseModel): """ diff --git a/api/core/rag/models/document.py b/api/core/rag/models/document.py index 421cdc05df..04a3428ad8 100644 --- a/api/core/rag/models/document.py +++ b/api/core/rag/models/document.py @@ -45,13 +45,12 @@ class BaseDocumentTransformer(ABC): .. code-block:: python class EmbeddingsRedundantFilter(BaseDocumentTransformer, BaseModel): + model_config = ConfigDict(arbitrary_types_allowed=True) + embeddings: Embeddings similarity_fn: Callable = cosine_similarity similarity_threshold: float = 0.95 - class Config: - arbitrary_types_allowed = True - def transform_documents( self, documents: Sequence[Document], **kwargs: Any ) -> Sequence[Document]: diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index d3605da146..6978860529 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -35,6 +35,7 @@ from core.prompt.simple_prompt_transform import ModelMode from core.rag.data_post_processor.data_post_processor import DataPostProcessor from core.rag.datasource.keyword.jieba.jieba_keyword_table_handler import JiebaKeywordTableHandler from core.rag.datasource.retrieval_service import RetrievalService +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.rag.entities.context_entities import DocumentContext from core.rag.entities.metadata_entities import Condition, MetadataCondition from core.rag.index_processor.constant.index_type import IndexType @@ -190,7 +191,7 @@ class DatasetRetrieval: retrieve_config.rerank_mode or "reranking_model", retrieve_config.reranking_model, retrieve_config.weights, - retrieve_config.reranking_enabled or True, + True if retrieve_config.reranking_enabled is None else retrieve_config.reranking_enabled, message_id, metadata_filter_document_ids, metadata_condition, @@ -198,21 +199,21 @@ class DatasetRetrieval: dify_documents = [item for item in all_documents if item.provider == "dify"] external_documents = [item for item in all_documents if item.provider == "external"] - document_context_list = [] - retrieval_resource_list = [] + document_context_list: list[DocumentContext] = [] + retrieval_resource_list: list[RetrievalSourceMetadata] = [] # deal with external documents for item in external_documents: document_context_list.append(DocumentContext(content=item.page_content, score=item.metadata.get("score"))) - source = { - "dataset_id": item.metadata.get("dataset_id"), - "dataset_name": item.metadata.get("dataset_name"), - "document_id": item.metadata.get("document_id") or item.metadata.get("title"), - "document_name": item.metadata.get("title"), - "data_source_type": "external", - "retriever_from": invoke_from.to_source(), - "score": item.metadata.get("score"), - "content": item.page_content, - } + source = RetrievalSourceMetadata( + dataset_id=item.metadata.get("dataset_id"), + dataset_name=item.metadata.get("dataset_name"), + document_id=item.metadata.get("document_id") or item.metadata.get("title"), + document_name=item.metadata.get("title"), + data_source_type="external", + retriever_from=invoke_from.to_source(), + score=item.metadata.get("score"), + content=item.page_content, + ) retrieval_resource_list.append(source) # deal with dify documents if dify_documents: @@ -248,32 +249,32 @@ class DatasetRetrieval: .first() ) if dataset and document: - source = { - "dataset_id": dataset.id, - "dataset_name": dataset.name, - "document_id": document.id, - "document_name": document.name, - "data_source_type": document.data_source_type, - "segment_id": segment.id, - "retriever_from": invoke_from.to_source(), - "score": record.score or 0.0, - "doc_metadata": document.doc_metadata, - } + source = RetrievalSourceMetadata( + dataset_id=dataset.id, + dataset_name=dataset.name, + document_id=document.id, + document_name=document.name, + data_source_type=document.data_source_type, + segment_id=segment.id, + retriever_from=invoke_from.to_source(), + score=record.score or 0.0, + doc_metadata=document.doc_metadata, + ) if invoke_from.to_source() == "dev": - source["hit_count"] = segment.hit_count - source["word_count"] = segment.word_count - source["segment_position"] = segment.position - source["index_node_hash"] = segment.index_node_hash + source.hit_count = segment.hit_count + source.word_count = segment.word_count + source.segment_position = segment.position + source.index_node_hash = segment.index_node_hash if segment.answer: - source["content"] = f"question:{segment.content} \nanswer:{segment.answer}" + source.content = f"question:{segment.content} \nanswer:{segment.answer}" else: - source["content"] = segment.content + source.content = segment.content retrieval_resource_list.append(source) if hit_callback and retrieval_resource_list: - retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score") or 0.0, reverse=True) + retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.score or 0.0, reverse=True) for position, item in enumerate(retrieval_resource_list, start=1): - item["position"] = position + item.position = position hit_callback.return_retriever_resource_info(retrieval_resource_list) if document_context_list: document_context_list = sorted(document_context_list, key=lambda x: x.score or 0.0, reverse=True) @@ -936,6 +937,9 @@ class DatasetRetrieval: return metadata_filter_document_ids, metadata_condition def _replace_metadata_filter_value(self, text: str, inputs: dict) -> str: + if not inputs: + return text + def replacer(match): key = match.group(1) return str(inputs.get(key, f"{{{{{key}}}}}")) diff --git a/api/core/repositories/sqlalchemy_workflow_execution_repository.py b/api/core/repositories/sqlalchemy_workflow_execution_repository.py new file mode 100644 index 0000000000..19086cffff --- /dev/null +++ b/api/core/repositories/sqlalchemy_workflow_execution_repository.py @@ -0,0 +1,256 @@ +""" +SQLAlchemy implementation of the WorkflowExecutionRepository. +""" + +import json +import logging +from typing import Optional, Union + +from sqlalchemy import select +from sqlalchemy.engine import Engine +from sqlalchemy.orm import sessionmaker + +from core.workflow.entities.workflow_execution import ( + WorkflowExecution, + WorkflowExecutionStatus, + WorkflowType, +) +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from models import ( + Account, + CreatorUserRole, + EndUser, + WorkflowRun, +) +from models.enums import WorkflowRunTriggeredFrom + +logger = logging.getLogger(__name__) + + +class SQLAlchemyWorkflowExecutionRepository(WorkflowExecutionRepository): + """ + SQLAlchemy implementation of the WorkflowExecutionRepository interface. + + This implementation supports multi-tenancy by filtering operations based on tenant_id. + Each method creates its own session, handles the transaction, and commits changes + to the database. This prevents long-running connections in the workflow core. + + This implementation also includes an in-memory cache for workflow executions to improve + performance by reducing database queries. + """ + + def __init__( + self, + session_factory: sessionmaker | Engine, + user: Union[Account, EndUser], + app_id: Optional[str], + triggered_from: Optional[WorkflowRunTriggeredFrom], + ): + """ + Initialize the repository with a SQLAlchemy sessionmaker or engine and context information. + + Args: + session_factory: SQLAlchemy sessionmaker or engine for creating sessions + user: Account or EndUser object containing tenant_id, user ID, and role information + app_id: App ID for filtering by application (can be None) + triggered_from: Source of the execution trigger (DEBUGGING or APP_RUN) + """ + # If an engine is provided, create a sessionmaker from it + if isinstance(session_factory, Engine): + self._session_factory = sessionmaker(bind=session_factory, expire_on_commit=False) + elif isinstance(session_factory, sessionmaker): + self._session_factory = session_factory + else: + raise ValueError( + f"Invalid session_factory type {type(session_factory).__name__}; expected sessionmaker or Engine" + ) + + # Extract tenant_id from user + tenant_id: str | None = user.tenant_id if isinstance(user, EndUser) else user.current_tenant_id + if not tenant_id: + raise ValueError("User must have a tenant_id or current_tenant_id") + self._tenant_id = tenant_id + + # Store app context + self._app_id = app_id + + # Extract user context + self._triggered_from = triggered_from + self._creator_user_id = user.id + + # Determine user role based on user type + self._creator_user_role = CreatorUserRole.ACCOUNT if isinstance(user, Account) else CreatorUserRole.END_USER + + # Initialize in-memory cache for workflow executions + # Key: execution_id, Value: WorkflowRun (DB model) + self._execution_cache: dict[str, WorkflowRun] = {} + + def _to_domain_model(self, db_model: WorkflowRun) -> WorkflowExecution: + """ + Convert a database model to a domain model. + + Args: + db_model: The database model to convert + + Returns: + The domain model + """ + # Parse JSON fields + inputs = db_model.inputs_dict + outputs = db_model.outputs_dict + graph = db_model.graph_dict + + # Convert status to domain enum + status = WorkflowExecutionStatus(db_model.status) + + return WorkflowExecution( + id_=db_model.id, + workflow_id=db_model.workflow_id, + workflow_type=WorkflowType(db_model.type), + workflow_version=db_model.version, + graph=graph, + inputs=inputs, + outputs=outputs, + status=status, + error_message=db_model.error or "", + total_tokens=db_model.total_tokens, + total_steps=db_model.total_steps, + exceptions_count=db_model.exceptions_count, + started_at=db_model.created_at, + finished_at=db_model.finished_at, + ) + + def _to_db_model(self, domain_model: WorkflowExecution) -> WorkflowRun: + """ + Convert a domain model to a database model. + + Args: + domain_model: The domain model to convert + + Returns: + The database model + """ + # Use values from constructor if provided + if not self._triggered_from: + raise ValueError("triggered_from is required in repository constructor") + if not self._creator_user_id: + raise ValueError("created_by is required in repository constructor") + if not self._creator_user_role: + raise ValueError("created_by_role is required in repository constructor") + + db_model = WorkflowRun() + db_model.id = domain_model.id_ + db_model.tenant_id = self._tenant_id + if self._app_id is not None: + db_model.app_id = self._app_id + db_model.workflow_id = domain_model.workflow_id + db_model.triggered_from = self._triggered_from + + # Check if this is a new record + with self._session_factory() as session: + existing = session.scalar(select(WorkflowRun).where(WorkflowRun.id == domain_model.id_)) + if not existing: + # For new records, get the next sequence number + stmt = select(WorkflowRun.sequence_number).where( + WorkflowRun.app_id == self._app_id, + WorkflowRun.tenant_id == self._tenant_id, + ) + max_sequence = session.scalar(stmt.order_by(WorkflowRun.sequence_number.desc())) + db_model.sequence_number = (max_sequence or 0) + 1 + else: + # For updates, keep the existing sequence number + db_model.sequence_number = existing.sequence_number + + db_model.type = domain_model.workflow_type + db_model.version = domain_model.workflow_version + db_model.graph = json.dumps(domain_model.graph) if domain_model.graph else None + db_model.inputs = json.dumps(domain_model.inputs) if domain_model.inputs else None + db_model.outputs = json.dumps(domain_model.outputs) if domain_model.outputs else None + db_model.status = domain_model.status + db_model.error = domain_model.error_message if domain_model.error_message else None + db_model.total_tokens = domain_model.total_tokens + db_model.total_steps = domain_model.total_steps + db_model.exceptions_count = domain_model.exceptions_count + db_model.created_by_role = self._creator_user_role + db_model.created_by = self._creator_user_id + db_model.created_at = domain_model.started_at + db_model.finished_at = domain_model.finished_at + + # Calculate elapsed time if finished_at is available + if domain_model.finished_at: + db_model.elapsed_time = (domain_model.finished_at - domain_model.started_at).total_seconds() + else: + db_model.elapsed_time = 0 + + return db_model + + def save(self, execution: WorkflowExecution) -> None: + """ + Save or update a WorkflowExecution domain entity to the database. + + This method serves as a domain-to-database adapter that: + 1. Converts the domain entity to its database representation + 2. Persists the database model using SQLAlchemy's merge operation + 3. Maintains proper multi-tenancy by including tenant context during conversion + 4. Updates the in-memory cache for faster subsequent lookups + + The method handles both creating new records and updating existing ones through + SQLAlchemy's merge operation. + + Args: + execution: The WorkflowExecution domain entity to persist + """ + # Convert domain model to database model using tenant context and other attributes + db_model = self._to_db_model(execution) + + # Create a new database session + with self._session_factory() as session: + # SQLAlchemy merge intelligently handles both insert and update operations + # based on the presence of the primary key + session.merge(db_model) + session.commit() + + # Update the in-memory cache for faster subsequent lookups + logger.debug(f"Updating cache for execution_id: {db_model.id}") + self._execution_cache[db_model.id] = db_model + + def get(self, execution_id: str) -> Optional[WorkflowExecution]: + """ + Retrieve a WorkflowExecution by its ID. + + First checks the in-memory cache, and if not found, queries the database. + If found in the database, adds it to the cache for future lookups. + + Args: + execution_id: The workflow execution ID + + Returns: + The WorkflowExecution instance if found, None otherwise + """ + # First check the cache + if execution_id in self._execution_cache: + logger.debug(f"Cache hit for execution_id: {execution_id}") + # Convert cached DB model to domain model + cached_db_model = self._execution_cache[execution_id] + return self._to_domain_model(cached_db_model) + + # If not in cache, query the database + logger.debug(f"Cache miss for execution_id: {execution_id}, querying database") + with self._session_factory() as session: + stmt = select(WorkflowRun).where( + WorkflowRun.id == execution_id, + WorkflowRun.tenant_id == self._tenant_id, + ) + + if self._app_id: + stmt = stmt.where(WorkflowRun.app_id == self._app_id) + + db_model = session.scalar(stmt) + if db_model: + # Add DB model to cache + self._execution_cache[execution_id] = db_model + + # Convert to domain model and return + return self._to_domain_model(db_model) + + return None diff --git a/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py b/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py index 3bf775db13..2f27442616 100644 --- a/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py +++ b/api/core/repositories/sqlalchemy_workflow_node_execution_repository.py @@ -4,26 +4,26 @@ SQLAlchemy implementation of the WorkflowNodeExecutionRepository. import json import logging -from collections.abc import Mapping, Sequence -from typing import Any, Optional, Union, cast +from collections.abc import Sequence +from typing import Optional, Union from sqlalchemy import UnaryExpression, asc, delete, desc, select from sqlalchemy.engine import Engine from sqlalchemy.orm import sessionmaker -from core.workflow.entities.node_entities import NodeRunMetadataKey -from core.workflow.entities.node_execution_entities import ( - NodeExecution, - NodeExecutionStatus, +from core.model_runtime.utils.encoders import jsonable_encoder +from core.workflow.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionMetadataKey, + WorkflowNodeExecutionStatus, ) from core.workflow.nodes.enums import NodeType -from core.workflow.repository.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository from models import ( Account, CreatorUserRole, EndUser, - WorkflowNodeExecution, - WorkflowNodeExecutionStatus, + WorkflowNodeExecutionModel, WorkflowNodeExecutionTriggeredFrom, ) @@ -85,10 +85,10 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) self._creator_user_role = CreatorUserRole.ACCOUNT if isinstance(user, Account) else CreatorUserRole.END_USER # Initialize in-memory cache for node executions - # Key: node_execution_id, Value: NodeExecution - self._node_execution_cache: dict[str, NodeExecution] = {} + # Key: node_execution_id, Value: WorkflowNodeExecution (DB model) + self._node_execution_cache: dict[str, WorkflowNodeExecutionModel] = {} - def _to_domain_model(self, db_model: WorkflowNodeExecution) -> NodeExecution: + def _to_domain_model(self, db_model: WorkflowNodeExecutionModel) -> WorkflowNodeExecution: """ Convert a database model to a domain model. @@ -102,16 +102,16 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) inputs = db_model.inputs_dict process_data = db_model.process_data_dict outputs = db_model.outputs_dict - metadata = db_model.execution_metadata_dict + metadata = {WorkflowNodeExecutionMetadataKey(k): v for k, v in db_model.execution_metadata_dict.items()} # Convert status to domain enum - status = NodeExecutionStatus(db_model.status) + status = WorkflowNodeExecutionStatus(db_model.status) - return NodeExecution( + return WorkflowNodeExecution( id=db_model.id, node_execution_id=db_model.node_execution_id, workflow_id=db_model.workflow_id, - workflow_run_id=db_model.workflow_run_id, + workflow_execution_id=db_model.workflow_run_id, index=db_model.index, predecessor_node_id=db_model.predecessor_node_id, node_id=db_model.node_id, @@ -123,17 +123,12 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) status=status, error=db_model.error, elapsed_time=db_model.elapsed_time, - # FIXME(QuantumGhost): a temporary workaround for the following type check failure in Python 3.11. - # However, this problem is not occurred in Python 3.12. - # - # A case of this error is: - # https://github.com/langgenius/dify/actions/runs/15112698604/job/42475659482?pr=19737#step:9:24 - metadata=cast(Mapping[NodeRunMetadataKey, Any] | None, metadata), + metadata=metadata, created_at=db_model.created_at, finished_at=db_model.finished_at, ) - def to_db_model(self, domain_model: NodeExecution) -> WorkflowNodeExecution: + def to_db_model(self, domain_model: WorkflowNodeExecution) -> WorkflowNodeExecutionModel: """ Convert a domain model to a database model. @@ -151,14 +146,14 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) if not self._creator_user_role: raise ValueError("created_by_role is required in repository constructor") - db_model = WorkflowNodeExecution() + db_model = WorkflowNodeExecutionModel() db_model.id = domain_model.id db_model.tenant_id = self._tenant_id if self._app_id is not None: db_model.app_id = self._app_id db_model.workflow_id = domain_model.workflow_id db_model.triggered_from = self._triggered_from - db_model.workflow_run_id = domain_model.workflow_run_id + db_model.workflow_run_id = domain_model.workflow_execution_id db_model.index = domain_model.index db_model.predecessor_node_id = domain_model.predecessor_node_id db_model.node_execution_id = domain_model.node_execution_id @@ -171,14 +166,16 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) db_model.status = domain_model.status db_model.error = domain_model.error db_model.elapsed_time = domain_model.elapsed_time - db_model.execution_metadata = json.dumps(domain_model.metadata) if domain_model.metadata else None + db_model.execution_metadata = ( + json.dumps(jsonable_encoder(domain_model.metadata)) if domain_model.metadata else None + ) db_model.created_at = domain_model.created_at db_model.created_by_role = self._creator_user_role db_model.created_by = self._creator_user_id db_model.finished_at = domain_model.finished_at return db_model - def save(self, execution: NodeExecution) -> None: + def save(self, execution: WorkflowNodeExecution) -> None: """ Save or update a NodeExecution domain entity to the database. @@ -208,9 +205,9 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) # Only cache if we have a node_execution_id to use as the cache key if db_model.node_execution_id: logger.debug(f"Updating cache for node_execution_id: {db_model.node_execution_id}") - self._node_execution_cache[db_model.node_execution_id] = execution + self._node_execution_cache[db_model.node_execution_id] = db_model - def get_by_node_execution_id(self, node_execution_id: str) -> Optional[NodeExecution]: + def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]: """ Retrieve a NodeExecution by its node_execution_id. @@ -226,41 +223,42 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) # First check the cache if node_execution_id in self._node_execution_cache: logger.debug(f"Cache hit for node_execution_id: {node_execution_id}") - return self._node_execution_cache[node_execution_id] + # Convert cached DB model to domain model + cached_db_model = self._node_execution_cache[node_execution_id] + return self._to_domain_model(cached_db_model) # If not in cache, query the database logger.debug(f"Cache miss for node_execution_id: {node_execution_id}, querying database") with self._session_factory() as session: - stmt = select(WorkflowNodeExecution).where( - WorkflowNodeExecution.node_execution_id == node_execution_id, - WorkflowNodeExecution.tenant_id == self._tenant_id, + stmt = select(WorkflowNodeExecutionModel).where( + WorkflowNodeExecutionModel.node_execution_id == node_execution_id, + WorkflowNodeExecutionModel.tenant_id == self._tenant_id, ) if self._app_id: - stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + stmt = stmt.where(WorkflowNodeExecutionModel.app_id == self._app_id) db_model = session.scalar(stmt) if db_model: - # Convert to domain model - domain_model = self._to_domain_model(db_model) + # Add DB model to cache + self._node_execution_cache[node_execution_id] = db_model - # Add to cache - self._node_execution_cache[node_execution_id] = domain_model - - return domain_model + # Convert to domain model and return + return self._to_domain_model(db_model) return None - def get_by_workflow_run( + def get_db_models_by_workflow_run( self, workflow_run_id: str, order_config: Optional[OrderConfig] = None, - ) -> Sequence[NodeExecution]: + ) -> Sequence[WorkflowNodeExecutionModel]: """ - Retrieve all NodeExecution instances for a specific workflow run. + Retrieve all WorkflowNodeExecution database models for a specific workflow run. - This method always queries the database to ensure complete and ordered results, - but updates the cache with any retrieved executions. + This method directly returns database models without converting to domain models, + which is useful when you need to access database-specific fields like triggered_from. + It also updates the in-memory cache with the retrieved models. Args: workflow_run_id: The workflow run ID @@ -269,23 +267,23 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) order_config.order_direction: Direction to order ("asc" or "desc") Returns: - A list of NodeExecution instances + A list of WorkflowNodeExecution database models """ with self._session_factory() as session: - stmt = select(WorkflowNodeExecution).where( - WorkflowNodeExecution.workflow_run_id == workflow_run_id, - WorkflowNodeExecution.tenant_id == self._tenant_id, - WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, + stmt = select(WorkflowNodeExecutionModel).where( + WorkflowNodeExecutionModel.workflow_run_id == workflow_run_id, + WorkflowNodeExecutionModel.tenant_id == self._tenant_id, + WorkflowNodeExecutionModel.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, ) if self._app_id: - stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + stmt = stmt.where(WorkflowNodeExecutionModel.app_id == self._app_id) # Apply ordering if provided if order_config and order_config.order_by: order_columns: list[UnaryExpression] = [] for field in order_config.order_by: - column = getattr(WorkflowNodeExecution, field, None) + column = getattr(WorkflowNodeExecutionModel, field, None) if not column: continue if order_config.order_direction == "desc": @@ -298,18 +296,45 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) db_models = session.scalars(stmt).all() - # Convert database models to domain models and update cache - domain_models = [] + # Update the cache with the retrieved DB models for model in db_models: - domain_model = self._to_domain_model(model) - # Update cache if node_execution_id is present - if domain_model.node_execution_id: - self._node_execution_cache[domain_model.node_execution_id] = domain_model - domain_models.append(domain_model) + if model.node_execution_id: + self._node_execution_cache[model.node_execution_id] = model - return domain_models + return db_models - def get_running_executions(self, workflow_run_id: str) -> Sequence[NodeExecution]: + def get_by_workflow_run( + self, + workflow_run_id: str, + order_config: Optional[OrderConfig] = None, + ) -> Sequence[WorkflowNodeExecution]: + """ + Retrieve all NodeExecution instances for a specific workflow run. + + This method always queries the database to ensure complete and ordered results, + but updates the cache with any retrieved executions. + + Args: + workflow_run_id: The workflow run ID + order_config: Optional configuration for ordering results + order_config.order_by: List of fields to order by (e.g., ["index", "created_at"]) + order_config.order_direction: Direction to order ("asc" or "desc") + + Returns: + A list of NodeExecution instances + """ + # Get the database models using the new method + db_models = self.get_db_models_by_workflow_run(workflow_run_id, order_config) + + # Convert database models to domain models + domain_models = [] + for model in db_models: + domain_model = self._to_domain_model(model) + domain_models.append(domain_model) + + return domain_models + + def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]: """ Retrieve all running NodeExecution instances for a specific workflow run. @@ -323,24 +348,26 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) A list of running NodeExecution instances """ with self._session_factory() as session: - stmt = select(WorkflowNodeExecution).where( - WorkflowNodeExecution.workflow_run_id == workflow_run_id, - WorkflowNodeExecution.tenant_id == self._tenant_id, - WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING, - WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, + stmt = select(WorkflowNodeExecutionModel).where( + WorkflowNodeExecutionModel.workflow_run_id == workflow_run_id, + WorkflowNodeExecutionModel.tenant_id == self._tenant_id, + WorkflowNodeExecutionModel.status == WorkflowNodeExecutionStatus.RUNNING, + WorkflowNodeExecutionModel.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, ) if self._app_id: - stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + stmt = stmt.where(WorkflowNodeExecutionModel.app_id == self._app_id) db_models = session.scalars(stmt).all() domain_models = [] for model in db_models: - domain_model = self._to_domain_model(model) # Update cache if node_execution_id is present - if domain_model.node_execution_id: - self._node_execution_cache[domain_model.node_execution_id] = domain_model + if model.node_execution_id: + self._node_execution_cache[model.node_execution_id] = model + + # Convert to domain model + domain_model = self._to_domain_model(model) domain_models.append(domain_model) return domain_models @@ -354,10 +381,10 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository) It also clears the in-memory cache. """ with self._session_factory() as session: - stmt = delete(WorkflowNodeExecution).where(WorkflowNodeExecution.tenant_id == self._tenant_id) + stmt = delete(WorkflowNodeExecutionModel).where(WorkflowNodeExecutionModel.tenant_id == self._tenant_id) if self._app_id: - stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + stmt = stmt.where(WorkflowNodeExecutionModel.app_id == self._app_id) result = session.execute(stmt) session.commit() diff --git a/api/core/tools/custom_tool/tool.py b/api/core/tools/custom_tool/tool.py index 2f2f1ebbdd..2f5cc6d4c0 100644 --- a/api/core/tools/custom_tool/tool.py +++ b/api/core/tools/custom_tool/tool.py @@ -168,7 +168,7 @@ class ApiTool(Tool): cookies[parameter["name"]] = value elif parameter["in"] == "header": - headers[parameter["name"]] = value + headers[parameter["name"]] = str(value) # check if there is a request body and handle it if "requestBody" in self.api_bundle.openapi and self.api_bundle.openapi["requestBody"] is not None: diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py index 37375f4a71..03047c0545 100644 --- a/api/core/tools/entities/tool_entities.py +++ b/api/core/tools/entities/tool_entities.py @@ -279,7 +279,6 @@ class ToolParameter(PluginParameter): :param options: the options of the parameter """ # convert options to ToolParameterOption - # FIXME fix the type error if options: option_objs = [ PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py index aa2661fe63..0bfe6329b1 100644 --- a/api/core/tools/tool_manager.py +++ b/api/core/tools/tool_manager.py @@ -528,7 +528,7 @@ class ToolManager: yield provider except Exception: - logger.exception(f"load builtin provider {provider}") + logger.exception(f"load builtin provider {provider_path}") continue # set builtin providers loaded cls._builtin_providers_loaded = True @@ -644,10 +644,10 @@ class ToolManager: ) workflow_provider_controllers: list[WorkflowToolProviderController] = [] - for provider in workflow_providers: + for workflow_provider in workflow_providers: try: workflow_provider_controllers.append( - ToolTransformService.workflow_provider_to_controller(db_provider=provider) + ToolTransformService.workflow_provider_to_controller(db_provider=workflow_provider) ) except Exception: # app has been deleted diff --git a/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py index 04437ea6d8..93d3fcc49d 100644 --- a/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py @@ -8,6 +8,7 @@ from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCa from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelType from core.rag.datasource.retrieval_service import RetrievalService +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.rag.models.document import Document as RagDocument from core.rag.rerank.rerank_model import RerankModelRunner from core.rag.retrieval.retrieval_methods import RetrievalMethod @@ -107,7 +108,7 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool): else: document_context_list.append(segment.get_sign_content()) if self.return_resource: - context_list = [] + context_list: list[RetrievalSourceMetadata] = [] resource_number = 1 for segment in sorted_segments: dataset = db.session.query(Dataset).filter_by(id=segment.dataset_id).first() @@ -121,28 +122,28 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool): .first() ) if dataset and document: - source = { - "position": resource_number, - "dataset_id": dataset.id, - "dataset_name": dataset.name, - "document_id": document.id, - "document_name": document.name, - "data_source_type": document.data_source_type, - "segment_id": segment.id, - "retriever_from": self.retriever_from, - "score": document_score_list.get(segment.index_node_id, None), - "doc_metadata": document.doc_metadata, - } + source = RetrievalSourceMetadata( + position=resource_number, + dataset_id=dataset.id, + dataset_name=dataset.name, + document_id=document.id, + document_name=document.name, + data_source_type=document.data_source_type, + segment_id=segment.id, + retriever_from=self.retriever_from, + score=document_score_list.get(segment.index_node_id, None), + doc_metadata=document.doc_metadata, + ) if self.retriever_from == "dev": - source["hit_count"] = segment.hit_count - source["word_count"] = segment.word_count - source["segment_position"] = segment.position - source["index_node_hash"] = segment.index_node_hash + source.hit_count = segment.hit_count + source.word_count = segment.word_count + source.segment_position = segment.position + source.index_node_hash = segment.index_node_hash if segment.answer: - source["content"] = f"question:{segment.content} \nanswer:{segment.answer}" + source.content = f"question:{segment.content} \nanswer:{segment.answer}" else: - source["content"] = segment.content + source.content = segment.content context_list.append(source) resource_number += 1 diff --git a/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py index fff261e0bd..ff1d9021ce 100644 --- a/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py @@ -4,6 +4,7 @@ from pydantic import BaseModel, Field from core.app.app_config.entities import DatasetRetrieveConfigEntity, ModelConfig from core.rag.datasource.retrieval_service import RetrievalService +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.rag.entities.context_entities import DocumentContext from core.rag.models.document import Document as RetrievalDocument from core.rag.retrieval.dataset_retrieval import DatasetRetrieval @@ -14,7 +15,7 @@ from models.dataset import Dataset from models.dataset import Document as DatasetDocument from services.external_knowledge_service import ExternalDatasetService -default_retrieval_model = { +default_retrieval_model: dict[str, Any] = { "search_method": RetrievalMethod.SEMANTIC_SEARCH.value, "reranking_enable": False, "reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""}, @@ -79,7 +80,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): else: document_ids_filter = None if dataset.provider == "external": - results = [] + results: list[RetrievalDocument] = [] external_documents = ExternalDatasetService.fetch_external_knowledge_retrieval( tenant_id=dataset.tenant_id, dataset_id=dataset.id, @@ -100,21 +101,21 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): document.metadata["dataset_name"] = dataset.name results.append(document) # deal with external documents - context_list = [] + context_list: list[RetrievalSourceMetadata] = [] for position, item in enumerate(results, start=1): if item.metadata is not None: - source = { - "position": position, - "dataset_id": item.metadata.get("dataset_id"), - "dataset_name": item.metadata.get("dataset_name"), - "document_id": item.metadata.get("document_id") or item.metadata.get("title"), - "document_name": item.metadata.get("title"), - "data_source_type": "external", - "retriever_from": self.retriever_from, - "score": item.metadata.get("score"), - "title": item.metadata.get("title"), - "content": item.page_content, - } + source = RetrievalSourceMetadata( + position=position, + dataset_id=item.metadata.get("dataset_id"), + dataset_name=item.metadata.get("dataset_name"), + document_id=item.metadata.get("document_id") or item.metadata.get("title"), + document_name=item.metadata.get("title"), + data_source_type="external", + retriever_from=self.retriever_from, + score=item.metadata.get("score"), + title=item.metadata.get("title"), + content=item.page_content, + ) context_list.append(source) for hit_callback in self.hit_callbacks: hit_callback.return_retriever_resource_info(context_list) @@ -125,6 +126,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): return "" # get retrieval model , if the model is not setting , using default retrieval_model: dict[str, Any] = dataset.retrieval_model or default_retrieval_model + retrieval_resource_list: list[RetrievalSourceMetadata] = [] if dataset.indexing_technique == "economy": # use keyword table query documents = RetrievalService.retrieve( @@ -162,7 +164,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): for item in documents: if item.metadata is not None and item.metadata.get("score"): document_score_list[item.metadata["doc_id"]] = item.metadata["score"] - document_context_list = [] + document_context_list: list[DocumentContext] = [] records = RetrievalService.format_retrieval_documents(documents) if records: for record in records: @@ -181,7 +183,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): score=record.score, ) ) - retrieval_resource_list = [] + if self.return_resource: for record in records: segment = record.segment @@ -196,37 +198,37 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): .first() ) if dataset and document: - source = { - "dataset_id": dataset.id, - "dataset_name": dataset.name, - "document_id": document.id, # type: ignore - "document_name": document.name, # type: ignore - "data_source_type": document.data_source_type, # type: ignore - "segment_id": segment.id, - "retriever_from": self.retriever_from, - "score": record.score or 0.0, - "doc_metadata": document.doc_metadata, # type: ignore - } + source = RetrievalSourceMetadata( + dataset_id=dataset.id, + dataset_name=dataset.name, + document_id=document.id, # type: ignore + document_name=document.name, # type: ignore + data_source_type=document.data_source_type, # type: ignore + segment_id=segment.id, + retriever_from=self.retriever_from, + score=record.score or 0.0, + doc_metadata=document.doc_metadata, # type: ignore + ) if self.retriever_from == "dev": - source["hit_count"] = segment.hit_count - source["word_count"] = segment.word_count - source["segment_position"] = segment.position - source["index_node_hash"] = segment.index_node_hash + source.hit_count = segment.hit_count + source.word_count = segment.word_count + source.segment_position = segment.position + source.index_node_hash = segment.index_node_hash if segment.answer: - source["content"] = f"question:{segment.content} \nanswer:{segment.answer}" + source.content = f"question:{segment.content} \nanswer:{segment.answer}" else: - source["content"] = segment.content + source.content = segment.content retrieval_resource_list.append(source) if self.return_resource and retrieval_resource_list: retrieval_resource_list = sorted( retrieval_resource_list, - key=lambda x: x.get("score") or 0.0, + key=lambda x: x.score or 0.0, reverse=True, ) for position, item in enumerate(retrieval_resource_list, start=1): # type: ignore - item["position"] = position # type: ignore + item.position = position # type: ignore for hit_callback in self.hit_callbacks: hit_callback.return_retriever_resource_info(retrieval_resource_list) if document_context_list: diff --git a/api/core/tools/utils/message_transformer.py b/api/core/tools/utils/message_transformer.py index 257d96133e..80e8b54343 100644 --- a/api/core/tools/utils/message_transformer.py +++ b/api/core/tools/utils/message_transformer.py @@ -66,7 +66,6 @@ class ToolFileMessageTransformer: if not isinstance(message.message, ToolInvokeMessage.BlobMessage): raise ValueError("unexpected message type") - # FIXME: should do a type check here. assert isinstance(message.message.blob, bytes) tool_file_manager = ToolFileManager() file = tool_file_manager.create_file_by_raw( diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py index f72291783a..3f844e8234 100644 --- a/api/core/tools/utils/parser.py +++ b/api/core/tools/utils/parser.py @@ -55,6 +55,13 @@ class ApiBasedToolSchemaParser: # convert parameters parameters = [] if "parameters" in interface["operation"]: + for i, parameter in enumerate(interface["operation"]["parameters"]): + if "$ref" in parameter: + root = openapi + reference = parameter["$ref"].split("/")[1:] + for ref in reference: + root = root[ref] + interface["operation"]["parameters"][i] = root for parameter in interface["operation"]["parameters"]: tool_parameter = ToolParameter( name=parameter["name"], diff --git a/api/core/tools/utils/web_reader_tool.py b/api/core/tools/utils/web_reader_tool.py index d42fd99fce..cbd06fc186 100644 --- a/api/core/tools/utils/web_reader_tool.py +++ b/api/core/tools/utils/web_reader_tool.py @@ -1,21 +1,13 @@ -import hashlib -import json import mimetypes -import os import re -import site -import subprocess -import tempfile -import unicodedata -from contextlib import contextmanager -from pathlib import Path -from typing import Any, Literal, Optional, cast +from collections.abc import Sequence +from dataclasses import dataclass +from typing import Any, Optional, cast from urllib.parse import unquote import chardet import cloudscraper # type: ignore -from bs4 import BeautifulSoup, CData, Comment, NavigableString # type: ignore -from regex import regex # type: ignore +from readabilipy import simple_json_from_html_string # type: ignore from core.helper import ssrf_proxy from core.rag.extractor import extract_processor @@ -23,9 +15,7 @@ from core.rag.extractor.extract_processor import ExtractProcessor FULL_TEMPLATE = """ TITLE: {title} -AUTHORS: {authors} -PUBLISH DATE: {publish_date} -TOP_IMAGE_URL: {top_image} +AUTHOR: {author} TEXT: {text} @@ -73,8 +63,8 @@ def get_url(url: str, user_agent: Optional[str] = None) -> str: response = ssrf_proxy.get(url, headers=headers, follow_redirects=True, timeout=(120, 300)) elif response.status_code == 403: scraper = cloudscraper.create_scraper() - scraper.perform_request = ssrf_proxy.make_request - response = scraper.get(url, headers=headers, follow_redirects=True, timeout=(120, 300)) + scraper.perform_request = ssrf_proxy.make_request # type: ignore + response = scraper.get(url, headers=headers, follow_redirects=True, timeout=(120, 300)) # type: ignore if response.status_code != 200: return "URL returned status code {}.".format(response.status_code) @@ -90,273 +80,36 @@ def get_url(url: str, user_agent: Optional[str] = None) -> str: else: content = response.text - a = extract_using_readabilipy(content) + article = extract_using_readabilipy(content) - if not a["plain_text"] or not a["plain_text"].strip(): + if not article.text: return "" res = FULL_TEMPLATE.format( - title=a["title"], - authors=a["byline"], - publish_date=a["date"], - top_image="", - text=a["plain_text"] or "", + title=article.title, + author=article.auther, + text=article.text, ) return res -def extract_using_readabilipy(html): - with tempfile.NamedTemporaryFile(delete=False, mode="w+") as f_html: - f_html.write(html) - f_html.close() - html_path = f_html.name +@dataclass +class Article: + title: str + auther: str + text: Sequence[dict] - # Call Mozilla's Readability.js Readability.parse() function via node, writing output to a temporary file - article_json_path = html_path + ".json" - jsdir = os.path.join(find_module_path("readabilipy"), "javascript") - with chdir(jsdir): - subprocess.check_call(["node", "ExtractArticle.js", "-i", html_path, "-o", article_json_path]) - # Read output of call to Readability.parse() from JSON file and return as Python dictionary - input_json = json.loads(Path(article_json_path).read_text(encoding="utf-8")) - - # Deleting files after processing - os.unlink(article_json_path) - os.unlink(html_path) - - article_json: dict[str, Any] = { - "title": None, - "byline": None, - "date": None, - "content": None, - "plain_content": None, - "plain_text": None, - } - # Populate article fields from readability fields where present - if input_json: - if input_json.get("title"): - article_json["title"] = input_json["title"] - if input_json.get("byline"): - article_json["byline"] = input_json["byline"] - if input_json.get("date"): - article_json["date"] = input_json["date"] - if input_json.get("content"): - article_json["content"] = input_json["content"] - article_json["plain_content"] = plain_content(article_json["content"], False, False) - article_json["plain_text"] = extract_text_blocks_as_plain_text(article_json["plain_content"]) - if input_json.get("textContent"): - article_json["plain_text"] = input_json["textContent"] - article_json["plain_text"] = re.sub(r"\n\s*\n", "\n", article_json["plain_text"]) - - return article_json - - -def find_module_path(module_name): - for package_path in site.getsitepackages(): - potential_path = os.path.join(package_path, module_name) - if os.path.exists(potential_path): - return potential_path - - return None - - -@contextmanager -def chdir(path): - """Change directory in context and return to original on exit""" - # From https://stackoverflow.com/a/37996581, couldn't find a built-in - original_path = os.getcwd() - os.chdir(path) - try: - yield - finally: - os.chdir(original_path) - - -def extract_text_blocks_as_plain_text(paragraph_html): - # Load article as DOM - soup = BeautifulSoup(paragraph_html, "html.parser") - # Select all lists - list_elements = soup.find_all(["ul", "ol"]) - # Prefix text in all list items with "* " and make lists paragraphs - for list_element in list_elements: - plain_items = "".join( - list(filter(None, [plain_text_leaf_node(li)["text"] for li in list_element.find_all("li")])) - ) - list_element.string = plain_items - list_element.name = "p" - # Select all text blocks - text_blocks = [s.parent for s in soup.find_all(string=True)] - text_blocks = [plain_text_leaf_node(block) for block in text_blocks] - # Drop empty paragraphs - text_blocks = list(filter(lambda p: p["text"] is not None, text_blocks)) - return text_blocks - - -def plain_text_leaf_node(element): - # Extract all text, stripped of any child HTML elements and normalize it - plain_text = normalize_text(element.get_text()) - if plain_text != "" and element.name == "li": - plain_text = "* {}, ".format(plain_text) - if plain_text == "": - plain_text = None - if "data-node-index" in element.attrs: - plain = {"node_index": element["data-node-index"], "text": plain_text} - else: - plain = {"text": plain_text} - return plain - - -def plain_content(readability_content, content_digests, node_indexes): - # Load article as DOM - soup = BeautifulSoup(readability_content, "html.parser") - # Make all elements plain - elements = plain_elements(soup.contents, content_digests, node_indexes) - if node_indexes: - # Add node index attributes to nodes - elements = [add_node_indexes(element) for element in elements] - # Replace article contents with plain elements - soup.contents = elements - return str(soup) - - -def plain_elements(elements, content_digests, node_indexes): - # Get plain content versions of all elements - elements = [plain_element(element, content_digests, node_indexes) for element in elements] - if content_digests: - # Add content digest attribute to nodes - elements = [add_content_digest(element) for element in elements] - return elements - - -def plain_element(element, content_digests, node_indexes): - # For lists, we make each item plain text - if is_leaf(element): - # For leaf node elements, extract the text content, discarding any HTML tags - # 1. Get element contents as text - plain_text = element.get_text() - # 2. Normalize the extracted text string to a canonical representation - plain_text = normalize_text(plain_text) - # 3. Update element content to be plain text - element.string = plain_text - elif is_text(element): - if is_non_printing(element): - # The simplified HTML may have come from Readability.js so might - # have non-printing text (e.g. Comment or CData). In this case, we - # keep the structure, but ensure that the string is empty. - element = type(element)("") - else: - plain_text = element.string - plain_text = normalize_text(plain_text) - element = type(element)(plain_text) - else: - # If not a leaf node or leaf type call recursively on child nodes, replacing - element.contents = plain_elements(element.contents, content_digests, node_indexes) - return element - - -def add_node_indexes(element, node_index="0"): - # Can't add attributes to string types - if is_text(element): - return element - # Add index to current element - element["data-node-index"] = node_index - # Add index to child elements - for local_idx, child in enumerate([c for c in element.contents if not is_text(c)], start=1): - # Can't add attributes to leaf string types - child_index = "{stem}.{local}".format(stem=node_index, local=local_idx) - add_node_indexes(child, node_index=child_index) - return element - - -def normalize_text(text): - """Normalize unicode and whitespace.""" - # Normalize unicode first to try and standardize whitespace characters as much as possible before normalizing them - text = strip_control_characters(text) - text = normalize_unicode(text) - text = normalize_whitespace(text) - return text - - -def strip_control_characters(text): - """Strip out unicode control characters which might break the parsing.""" - # Unicode control characters - # [Cc]: Other, Control [includes new lines] - # [Cf]: Other, Format - # [Cn]: Other, Not Assigned - # [Co]: Other, Private Use - # [Cs]: Other, Surrogate - control_chars = {"Cc", "Cf", "Cn", "Co", "Cs"} - retained_chars = ["\t", "\n", "\r", "\f"] - - # Remove non-printing control characters - return "".join( - [ - "" if (unicodedata.category(char) in control_chars) and (char not in retained_chars) else char - for char in text - ] +def extract_using_readabilipy(html: str): + json_article: dict[str, Any] = simple_json_from_html_string(html, use_readability=True) + article = Article( + title=json_article.get("title") or "", + auther=json_article.get("byline") or "", + text=json_article.get("plain_text") or [], ) - -def normalize_unicode(text): - """Normalize unicode such that things that are visually equivalent map to the same unicode string where possible.""" - normal_form: Literal["NFC", "NFD", "NFKC", "NFKD"] = "NFKC" - text = unicodedata.normalize(normal_form, text) - return text - - -def normalize_whitespace(text): - """Replace runs of whitespace characters with a single space as this is what happens when HTML text is displayed.""" - text = regex.sub(r"\s+", " ", text) - # Remove leading and trailing whitespace - text = text.strip() - return text - - -def is_leaf(element): - return element.name in {"p", "li"} - - -def is_text(element): - return isinstance(element, NavigableString) - - -def is_non_printing(element): - return any(isinstance(element, _e) for _e in [Comment, CData]) - - -def add_content_digest(element): - if not is_text(element): - element["data-content-digest"] = content_digest(element) - return element - - -def content_digest(element): - digest: Any - if is_text(element): - # Hash - trimmed_string = element.string.strip() - if trimmed_string == "": - digest = "" - else: - digest = hashlib.sha256(trimmed_string.encode("utf-8")).hexdigest() - else: - contents = element.contents - num_contents = len(contents) - if num_contents == 0: - # No hash when no child elements exist - digest = "" - elif num_contents == 1: - # If single child, use digest of child - digest = content_digest(contents[0]) - else: - # Build content digest from the "non-empty" digests of child nodes - digest = hashlib.sha256() - child_digests = list(filter(lambda x: x != "", [content_digest(content) for content in contents])) - for child in child_digests: - digest.update(child.encode("utf-8")) - digest = digest.hexdigest() - return digest + return article def get_image_upload_file_ids(content): diff --git a/api/core/tools/workflow_as_tool/tool.py b/api/core/tools/workflow_as_tool/tool.py index 241b4a94de..57c93d1d45 100644 --- a/api/core/tools/workflow_as_tool/tool.py +++ b/api/core/tools/workflow_as_tool/tool.py @@ -1,7 +1,9 @@ import json import logging from collections.abc import Generator -from typing import Any, Optional, Union, cast +from typing import Any, Optional, cast + +from flask_login import current_user from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod from core.tools.__base.tool import Tool @@ -87,7 +89,7 @@ class WorkflowTool(Tool): result = generator.generate( app_model=app, workflow=workflow, - user=self._get_user(user_id), + user=cast("Account | EndUser", current_user), args={"inputs": tool_parameters, "files": files}, invoke_from=self.runtime.invoke_from, streaming=False, @@ -111,20 +113,6 @@ class WorkflowTool(Tool): yield self.create_text_message(json.dumps(outputs, ensure_ascii=False)) yield self.create_json_message(outputs) - def _get_user(self, user_id: str) -> Union[EndUser, Account]: - """ - get the user by user id - """ - - user = db.session.query(EndUser).filter(EndUser.id == user_id).first() - if not user: - user = db.session.query(Account).filter(Account.id == user_id).first() - - if not user: - raise ValueError("user not found") - - return user - def fork_tool_runtime(self, runtime: ToolRuntime) -> "WorkflowTool": """ fork a new tool with metadata diff --git a/api/core/workflow/entities/node_entities.py b/api/core/workflow/entities/node_entities.py index 82fd6cdc30..687ec8e47c 100644 --- a/api/core/workflow/entities/node_entities.py +++ b/api/core/workflow/entities/node_entities.py @@ -1,36 +1,10 @@ from collections.abc import Mapping -from enum import StrEnum from typing import Any, Optional from pydantic import BaseModel from core.model_runtime.entities.llm_entities import LLMUsage -from models.workflow import WorkflowNodeExecutionStatus - - -class NodeRunMetadataKey(StrEnum): - """ - Node Run Metadata Key. - """ - - TOTAL_TOKENS = "total_tokens" - TOTAL_PRICE = "total_price" - CURRENCY = "currency" - TOOL_INFO = "tool_info" - AGENT_LOG = "agent_log" - ITERATION_ID = "iteration_id" - ITERATION_INDEX = "iteration_index" - LOOP_ID = "loop_id" - LOOP_INDEX = "loop_index" - PARALLEL_ID = "parallel_id" - PARALLEL_START_NODE_ID = "parallel_start_node_id" - PARENT_PARALLEL_ID = "parent_parallel_id" - PARENT_PARALLEL_START_NODE_ID = "parent_parallel_start_node_id" - PARALLEL_MODE_RUN_ID = "parallel_mode_run_id" - ITERATION_DURATION_MAP = "iteration_duration_map" # single iteration duration if iteration node runs - LOOP_DURATION_MAP = "loop_duration_map" # single loop duration if loop node runs - ERROR_STRATEGY = "error_strategy" # node in continue on error mode return the field - LOOP_VARIABLE_MAP = "loop_variable_map" # single loop variable output +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus class NodeRunResult(BaseModel): @@ -43,7 +17,7 @@ class NodeRunResult(BaseModel): inputs: Optional[Mapping[str, Any]] = None # node inputs process_data: Optional[Mapping[str, Any]] = None # process data outputs: Optional[Mapping[str, Any]] = None # node outputs - metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None # node metadata + metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # node metadata llm_usage: Optional[LLMUsage] = None # llm usage edge_source_handle: Optional[str] = None # source handle id of node with multiple branches diff --git a/api/core/workflow/entities/workflow_execution.py b/api/core/workflow/entities/workflow_execution.py new file mode 100644 index 0000000000..781be4b3c6 --- /dev/null +++ b/api/core/workflow/entities/workflow_execution.py @@ -0,0 +1,87 @@ +""" +Domain entities for workflow execution. + +Models are independent of the storage mechanism and don't contain +implementation details like tenant_id, app_id, etc. +""" + +from collections.abc import Mapping +from datetime import UTC, datetime +from enum import StrEnum +from typing import Any, Optional + +from pydantic import BaseModel, Field + + +class WorkflowType(StrEnum): + """ + Workflow Type Enum for domain layer + """ + + WORKFLOW = "workflow" + CHAT = "chat" + + +class WorkflowExecutionStatus(StrEnum): + RUNNING = "running" + SUCCEEDED = "succeeded" + FAILED = "failed" + STOPPED = "stopped" + PARTIAL_SUCCEEDED = "partial-succeeded" + + +class WorkflowExecution(BaseModel): + """ + Domain model for workflow execution based on WorkflowRun but without + user, tenant, and app attributes. + """ + + id_: str = Field(...) + workflow_id: str = Field(...) + workflow_version: str = Field(...) + workflow_type: WorkflowType = Field(...) + graph: Mapping[str, Any] = Field(...) + + inputs: Mapping[str, Any] = Field(...) + outputs: Optional[Mapping[str, Any]] = None + + status: WorkflowExecutionStatus = WorkflowExecutionStatus.RUNNING + error_message: str = Field(default="") + total_tokens: int = Field(default=0) + total_steps: int = Field(default=0) + exceptions_count: int = Field(default=0) + + started_at: datetime = Field(...) + finished_at: Optional[datetime] = None + + @property + def elapsed_time(self) -> float: + """ + Calculate elapsed time in seconds. + If workflow is not finished, use current time. + """ + end_time = self.finished_at or datetime.now(UTC).replace(tzinfo=None) + return (end_time - self.started_at).total_seconds() + + @classmethod + def new( + cls, + *, + id_: str, + workflow_id: str, + workflow_type: WorkflowType, + workflow_version: str, + graph: Mapping[str, Any], + inputs: Mapping[str, Any], + started_at: datetime, + ) -> "WorkflowExecution": + return WorkflowExecution( + id_=id_, + workflow_id=workflow_id, + workflow_type=workflow_type, + workflow_version=workflow_version, + graph=graph, + inputs=inputs, + status=WorkflowExecutionStatus.RUNNING, + started_at=started_at, + ) diff --git a/api/core/workflow/entities/node_execution_entities.py b/api/core/workflow/entities/workflow_node_execution.py similarity index 68% rename from api/core/workflow/entities/node_execution_entities.py rename to api/core/workflow/entities/workflow_node_execution.py index 5e5ead062f..773f5b777b 100644 --- a/api/core/workflow/entities/node_execution_entities.py +++ b/api/core/workflow/entities/workflow_node_execution.py @@ -13,11 +13,35 @@ from typing import Any, Optional from pydantic import BaseModel, Field -from core.workflow.entities.node_entities import NodeRunMetadataKey from core.workflow.nodes.enums import NodeType -class NodeExecutionStatus(StrEnum): +class WorkflowNodeExecutionMetadataKey(StrEnum): + """ + Node Run Metadata Key. + """ + + TOTAL_TOKENS = "total_tokens" + TOTAL_PRICE = "total_price" + CURRENCY = "currency" + TOOL_INFO = "tool_info" + AGENT_LOG = "agent_log" + ITERATION_ID = "iteration_id" + ITERATION_INDEX = "iteration_index" + LOOP_ID = "loop_id" + LOOP_INDEX = "loop_index" + PARALLEL_ID = "parallel_id" + PARALLEL_START_NODE_ID = "parallel_start_node_id" + PARENT_PARALLEL_ID = "parent_parallel_id" + PARENT_PARALLEL_START_NODE_ID = "parent_parallel_start_node_id" + PARALLEL_MODE_RUN_ID = "parallel_mode_run_id" + ITERATION_DURATION_MAP = "iteration_duration_map" # single iteration duration if iteration node runs + LOOP_DURATION_MAP = "loop_duration_map" # single loop duration if loop node runs + ERROR_STRATEGY = "error_strategy" # node in continue on error mode return the field + LOOP_VARIABLE_MAP = "loop_variable_map" # single loop variable output + + +class WorkflowNodeExecutionStatus(StrEnum): """ Node Execution Status Enum. """ @@ -29,7 +53,7 @@ class NodeExecutionStatus(StrEnum): RETRY = "retry" -class NodeExecution(BaseModel): +class WorkflowNodeExecution(BaseModel): """ Domain model for workflow node execution. @@ -46,7 +70,7 @@ class NodeExecution(BaseModel): id: str # Unique identifier for this execution record node_execution_id: Optional[str] = None # Optional secondary ID for cross-referencing workflow_id: str # ID of the workflow this node belongs to - workflow_run_id: Optional[str] = None # ID of the specific workflow run (null for single-step debugging) + workflow_execution_id: Optional[str] = None # ID of the specific workflow run (null for single-step debugging) # Execution positioning and flow index: int # Sequence number for ordering in trace visualization @@ -61,12 +85,12 @@ class NodeExecution(BaseModel): outputs: Optional[Mapping[str, Any]] = None # Output variables produced by this node # Execution state - status: NodeExecutionStatus = NodeExecutionStatus.RUNNING # Current execution status + status: WorkflowNodeExecutionStatus = WorkflowNodeExecutionStatus.RUNNING # Current execution status error: Optional[str] = None # Error message if execution failed elapsed_time: float = Field(default=0.0) # Time taken for execution in seconds # Additional metadata - metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None # Execution metadata (tokens, cost, etc.) + metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # Execution metadata (tokens, cost, etc.) # Timing information created_at: datetime # When execution started @@ -77,7 +101,7 @@ class NodeExecution(BaseModel): inputs: Optional[Mapping[str, Any]] = None, process_data: Optional[Mapping[str, Any]] = None, outputs: Optional[Mapping[str, Any]] = None, - metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None, + metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None, ) -> None: """ Update the model from mappings. diff --git a/api/core/workflow/enums.py b/api/core/workflow/enums.py index 9642efa1a5..b52a2b0e6e 100644 --- a/api/core/workflow/enums.py +++ b/api/core/workflow/enums.py @@ -13,4 +13,4 @@ class SystemVariableKey(StrEnum): DIALOGUE_COUNT = "dialogue_count" APP_ID = "app_id" WORKFLOW_ID = "workflow_id" - WORKFLOW_RUN_ID = "workflow_run_id" + WORKFLOW_EXECUTION_ID = "workflow_run_id" diff --git a/api/core/workflow/graph_engine/entities/event.py b/api/core/workflow/graph_engine/entities/event.py index 689a07c4f6..9a4939502e 100644 --- a/api/core/workflow/graph_engine/entities/event.py +++ b/api/core/workflow/graph_engine/entities/event.py @@ -1,9 +1,10 @@ -from collections.abc import Mapping +from collections.abc import Mapping, Sequence from datetime import datetime from typing import Any, Optional from pydantic import BaseModel, Field +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.workflow.entities.node_entities import AgentNodeStrategyInit from core.workflow.graph_engine.entities.runtime_route_state import RouteNodeState from core.workflow.nodes import NodeType @@ -82,7 +83,7 @@ class NodeRunStreamChunkEvent(BaseNodeEvent): class NodeRunRetrieverResourceEvent(BaseNodeEvent): - retriever_resources: list[dict] = Field(..., description="retriever resources") + retriever_resources: Sequence[RetrievalSourceMetadata] = Field(..., description="retriever resources") context: str = Field(..., description="context") diff --git a/api/core/workflow/graph_engine/entities/runtime_route_state.py b/api/core/workflow/graph_engine/entities/runtime_route_state.py index 7683dcc9dc..f2d9c98936 100644 --- a/api/core/workflow/graph_engine/entities/runtime_route_state.py +++ b/api/core/workflow/graph_engine/entities/runtime_route_state.py @@ -6,7 +6,7 @@ from typing import Optional from pydantic import BaseModel, Field from core.workflow.entities.node_entities import NodeRunResult -from models.workflow import WorkflowNodeExecutionStatus +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus class RouteNodeState(BaseModel): diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index 36273d8ec1..363b2ee920 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -9,13 +9,14 @@ from copy import copy, deepcopy from datetime import UTC, datetime from typing import Any, Optional, cast -from flask import Flask, current_app +from flask import Flask, current_app, has_request_context from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError from core.app.entities.app_invoke_entities import InvokeFrom -from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunResult from core.workflow.entities.variable_pool import VariablePool, VariableValue +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.graph_engine.condition_handlers.condition_manager import ConditionManager from core.workflow.graph_engine.entities.event import ( BaseAgentEvent, @@ -52,9 +53,8 @@ from core.workflow.nodes.end.end_stream_processor import EndStreamProcessor from core.workflow.nodes.enums import ErrorStrategy, FailBranchSourceHandle from core.workflow.nodes.event import RunCompletedEvent, RunRetrieverResourceEvent, RunStreamChunkEvent from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING -from extensions.ext_database import db from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType logger = logging.getLogger(__name__) @@ -540,8 +540,21 @@ class GraphEngine: for var, val in context.items(): var.set(val) + # FIXME(-LAN-): Save current user before entering new app context + from flask import g + + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + with flask_app.app_context(): try: + # Restore user in new app context + if saved_user is not None: + from flask import g + + g._login_user = saved_user + q.put( ParallelBranchRunStartedEvent( parallel_id=parallel_id, @@ -593,8 +606,6 @@ class GraphEngine: error=str(e), ) ) - finally: - db.session.remove() def _run_node( self, @@ -632,7 +643,6 @@ class GraphEngine: agent_strategy=agent_strategy, ) - db.session.close() max_retries = node_instance.node_data.retry_config.max_retries retry_interval = node_instance.node_data.retry_config.retry_interval_seconds retries = 0 @@ -746,10 +756,12 @@ class GraphEngine: and node_instance.node_data.error_strategy is ErrorStrategy.FAIL_BRANCH ): run_result.edge_source_handle = FailBranchSourceHandle.SUCCESS - if run_result.metadata and run_result.metadata.get(NodeRunMetadataKey.TOTAL_TOKENS): + if run_result.metadata and run_result.metadata.get( + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS + ): # plus state total_tokens self.graph_runtime_state.total_tokens += int( - run_result.metadata.get(NodeRunMetadataKey.TOTAL_TOKENS) # type: ignore[arg-type] + run_result.metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS) # type: ignore[arg-type] ) if run_result.llm_usage: @@ -772,13 +784,17 @@ class GraphEngine: if parallel_id and parallel_start_node_id: metadata_dict = dict(run_result.metadata) - metadata_dict[NodeRunMetadataKey.PARALLEL_ID] = parallel_id - metadata_dict[NodeRunMetadataKey.PARALLEL_START_NODE_ID] = parallel_start_node_id + metadata_dict[WorkflowNodeExecutionMetadataKey.PARALLEL_ID] = parallel_id + metadata_dict[WorkflowNodeExecutionMetadataKey.PARALLEL_START_NODE_ID] = ( + parallel_start_node_id + ) if parent_parallel_id and parent_parallel_start_node_id: - metadata_dict[NodeRunMetadataKey.PARENT_PARALLEL_ID] = parent_parallel_id - metadata_dict[NodeRunMetadataKey.PARENT_PARALLEL_START_NODE_ID] = ( - parent_parallel_start_node_id + metadata_dict[WorkflowNodeExecutionMetadataKey.PARENT_PARALLEL_ID] = ( + parent_parallel_id ) + metadata_dict[ + WorkflowNodeExecutionMetadataKey.PARENT_PARALLEL_START_NODE_ID + ] = parent_parallel_start_node_id run_result.metadata = metadata_dict yield NodeRunSucceededEvent( @@ -843,8 +859,6 @@ class GraphEngine: except Exception as e: logger.exception(f"Node {node_instance.node_data.title} run failed") raise e - finally: - db.session.close() def _append_variables_recursively(self, node_id: str, variable_key_list: list[str], variable_value: VariableValue): """ @@ -910,7 +924,7 @@ class GraphEngine: "error": error_result.error, "inputs": error_result.inputs, "metadata": { - NodeRunMetadataKey.ERROR_STRATEGY: node_instance.node_data.error_strategy, + WorkflowNodeExecutionMetadataKey.ERROR_STRATEGY: node_instance.node_data.error_strategy, }, } diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py index 771e0ca7a5..faa8f90bea 100644 --- a/api/core/workflow/nodes/agent/agent_node.py +++ b/api/core/workflow/nodes/agent/agent_node.py @@ -2,6 +2,9 @@ import json from collections.abc import Generator, Mapping, Sequence from typing import Any, Optional, cast +from sqlalchemy import select +from sqlalchemy.orm import Session + from core.agent.entities import AgentToolEntity from core.agent.plugin_entities import AgentStrategyParameter from core.memory.token_buffer_memory import TokenBufferMemory @@ -15,6 +18,7 @@ from core.tools.tool_manager import ToolManager from core.variables.segments import StringSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.nodes.agent.entities import AgentNodeData, AgentOldVersionModelFeatures, ParamsAutoGenerated from core.workflow.nodes.base.entities import BaseNodeData @@ -25,7 +29,6 @@ from core.workflow.utils.variable_template_parser import VariableTemplateParser from extensions.ext_database import db from factories.agent_factory import get_plugin_agent_strategy from models.model import Conversation -from models.workflow import WorkflowNodeExecutionStatus class AgentNode(ToolNode): @@ -320,15 +323,12 @@ class AgentNode(ToolNode): return None conversation_id = conversation_id_variable.value - # get conversation - conversation = ( - db.session.query(Conversation) - .filter(Conversation.app_id == self.app_id, Conversation.id == conversation_id) - .first() - ) + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(Conversation).where(Conversation.app_id == self.app_id, Conversation.id == conversation_id) + conversation = session.scalar(stmt) - if not conversation: - return None + if not conversation: + return None memory = TokenBufferMemory(conversation=conversation, model_instance=model_instance) @@ -356,7 +356,9 @@ class AgentNode(ToolNode): def _remove_unsupported_model_features_for_old_version(self, model_schema: AIModelEntity) -> AIModelEntity: if model_schema.features: - for feature in model_schema.features: - if feature.value not in AgentOldVersionModelFeatures: + for feature in model_schema.features[:]: # Create a copy to safely modify during iteration + try: + AgentOldVersionModelFeatures(feature.value) # Try to create enum member from value + except ValueError: model_schema.features.remove(feature) return model_schema diff --git a/api/core/workflow/nodes/agent/entities.py b/api/core/workflow/nodes/agent/entities.py index 77e94375bf..075a41fb2f 100644 --- a/api/core/workflow/nodes/agent/entities.py +++ b/api/core/workflow/nodes/agent/entities.py @@ -1,4 +1,4 @@ -from enum import Enum +from enum import Enum, StrEnum from typing import Any, Literal, Union from pydantic import BaseModel @@ -26,7 +26,7 @@ class ParamsAutoGenerated(Enum): OPEN = 1 -class AgentOldVersionModelFeatures(Enum): +class AgentOldVersionModelFeatures(StrEnum): """ Enum class for old SDK version llm feature. """ diff --git a/api/core/workflow/nodes/answer/answer_node.py b/api/core/workflow/nodes/answer/answer_node.py index 520cbdbb60..aa030870e2 100644 --- a/api/core/workflow/nodes/answer/answer_node.py +++ b/api/core/workflow/nodes/answer/answer_node.py @@ -3,6 +3,7 @@ from typing import Any, cast from core.variables import ArrayFileSegment, FileSegment from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.answer.answer_stream_generate_router import AnswerStreamGeneratorRouter from core.workflow.nodes.answer.entities import ( AnswerNodeData, @@ -13,7 +14,6 @@ from core.workflow.nodes.answer.entities import ( from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.utils.variable_template_parser import VariableTemplateParser -from models.workflow import WorkflowNodeExecutionStatus class AnswerNode(BaseNode[AnswerNodeData]): diff --git a/api/core/workflow/nodes/base/node.py b/api/core/workflow/nodes/base/node.py index e566770870..7da0c19740 100644 --- a/api/core/workflow/nodes/base/node.py +++ b/api/core/workflow/nodes/base/node.py @@ -4,9 +4,9 @@ from collections.abc import Generator, Mapping, Sequence from typing import TYPE_CHECKING, Any, Generic, Optional, TypeVar, Union, cast from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.enums import CONTINUE_ON_ERROR_NODE_TYPE, RETRY_ON_ERROR_NODE_TYPE, NodeType from core.workflow.nodes.event import NodeEvent, RunCompletedEvent -from models.workflow import WorkflowNodeExecutionStatus from .entities import BaseNodeData diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 804c05f9f4..61c08a7d71 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -8,10 +8,10 @@ from core.helper.code_executor.javascript.javascript_code_provider import Javasc from core.helper.code_executor.python3.python3_code_provider import Python3CodeProvider from core.variables.segments import ArrayFileSegment from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.code.entities import CodeNodeData from core.workflow.nodes.enums import NodeType -from models.workflow import WorkflowNodeExecutionStatus from .exc import ( CodeNodeError, @@ -167,8 +167,11 @@ class CodeNode(BaseNode[CodeNodeData]): value=value, variable=f"{prefix}.{output_name}[{i}]" if prefix else f"{output_name}[{i}]", ) - elif isinstance(first_element, dict) and all( - value is None or isinstance(value, dict) for value in output_value + elif ( + isinstance(first_element, dict) + and all(value is None or isinstance(value, dict) for value in output_value) + or isinstance(first_element, list) + and all(value is None or isinstance(value, list) for value in output_value) ): for i, value in enumerate(output_value): if value is not None: diff --git a/api/core/workflow/nodes/document_extractor/node.py b/api/core/workflow/nodes/document_extractor/node.py index 8fb1baec89..429fed2d04 100644 --- a/api/core/workflow/nodes/document_extractor/node.py +++ b/api/core/workflow/nodes/document_extractor/node.py @@ -7,6 +7,7 @@ import tempfile from collections.abc import Mapping, Sequence from typing import Any, cast +import chardet import docx import pandas as pd import pypandoc # type: ignore @@ -25,9 +26,9 @@ from core.helper import ssrf_proxy from core.variables import ArrayFileSegment from core.variables.segments import FileSegment from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType -from models.workflow import WorkflowNodeExecutionStatus from .entities import DocumentExtractorNodeData from .exc import DocumentExtractorError, FileDownloadError, TextExtractionError, UnsupportedFileTypeError @@ -180,26 +181,64 @@ def _extract_text_by_file_extension(*, file_content: bytes, file_extension: str) def _extract_text_from_plain_text(file_content: bytes) -> str: try: - return file_content.decode("utf-8", "ignore") - except UnicodeDecodeError as e: - raise TextExtractionError("Failed to decode plain text file") from e + # Detect encoding using chardet + result = chardet.detect(file_content) + encoding = result["encoding"] + + # Fallback to utf-8 if detection fails + if not encoding: + encoding = "utf-8" + + return file_content.decode(encoding, errors="ignore") + except (UnicodeDecodeError, LookupError) as e: + # If decoding fails, try with utf-8 as last resort + try: + return file_content.decode("utf-8", errors="ignore") + except UnicodeDecodeError: + raise TextExtractionError(f"Failed to decode plain text file: {e}") from e def _extract_text_from_json(file_content: bytes) -> str: try: - json_data = json.loads(file_content.decode("utf-8", "ignore")) + # Detect encoding using chardet + result = chardet.detect(file_content) + encoding = result["encoding"] + + # Fallback to utf-8 if detection fails + if not encoding: + encoding = "utf-8" + + json_data = json.loads(file_content.decode(encoding, errors="ignore")) return json.dumps(json_data, indent=2, ensure_ascii=False) - except (UnicodeDecodeError, json.JSONDecodeError) as e: - raise TextExtractionError(f"Failed to decode or parse JSON file: {e}") from e + except (UnicodeDecodeError, LookupError, json.JSONDecodeError) as e: + # If decoding fails, try with utf-8 as last resort + try: + json_data = json.loads(file_content.decode("utf-8", errors="ignore")) + return json.dumps(json_data, indent=2, ensure_ascii=False) + except (UnicodeDecodeError, json.JSONDecodeError): + raise TextExtractionError(f"Failed to decode or parse JSON file: {e}") from e def _extract_text_from_yaml(file_content: bytes) -> str: """Extract the content from yaml file""" try: - yaml_data = yaml.safe_load_all(file_content.decode("utf-8", "ignore")) + # Detect encoding using chardet + result = chardet.detect(file_content) + encoding = result["encoding"] + + # Fallback to utf-8 if detection fails + if not encoding: + encoding = "utf-8" + + yaml_data = yaml.safe_load_all(file_content.decode(encoding, errors="ignore")) return cast(str, yaml.dump_all(yaml_data, allow_unicode=True, sort_keys=False)) - except (UnicodeDecodeError, yaml.YAMLError) as e: - raise TextExtractionError(f"Failed to decode or parse YAML file: {e}") from e + except (UnicodeDecodeError, LookupError, yaml.YAMLError) as e: + # If decoding fails, try with utf-8 as last resort + try: + yaml_data = yaml.safe_load_all(file_content.decode("utf-8", errors="ignore")) + return cast(str, yaml.dump_all(yaml_data, allow_unicode=True, sort_keys=False)) + except (UnicodeDecodeError, yaml.YAMLError): + raise TextExtractionError(f"Failed to decode or parse YAML file: {e}") from e def _extract_text_from_pdf(file_content: bytes) -> str: @@ -338,26 +377,64 @@ def _extract_text_from_file(file: File): def _extract_text_from_csv(file_content: bytes) -> str: try: - csv_file = io.StringIO(file_content.decode("utf-8", "ignore")) + # Detect encoding using chardet + result = chardet.detect(file_content) + encoding = result["encoding"] + + # Fallback to utf-8 if detection fails + if not encoding: + encoding = "utf-8" + + try: + csv_file = io.StringIO(file_content.decode(encoding, errors="ignore")) + except (UnicodeDecodeError, LookupError): + # If decoding fails, try with utf-8 as last resort + csv_file = io.StringIO(file_content.decode("utf-8", errors="ignore")) + csv_reader = csv.reader(csv_file) rows = list(csv_reader) if not rows: return "" + # Combine multi-line text in the header row + header_row = [cell.replace("\n", " ").replace("\r", "") for cell in rows[0]] + # Create Markdown table - markdown_table = "| " + " | ".join(rows[0]) + " |\n" - markdown_table += "| " + " | ".join(["---"] * len(rows[0])) + " |\n" + markdown_table = "| " + " | ".join(header_row) + " |\n" + markdown_table += "| " + " | ".join(["-" * len(col) for col in rows[0]]) + " |\n" + + # Process each data row and combine multi-line text in each cell for row in rows[1:]: - markdown_table += "| " + " | ".join(row) + " |\n" + processed_row = [cell.replace("\n", " ").replace("\r", "") for cell in row] + markdown_table += "| " + " | ".join(processed_row) + " |\n" - return markdown_table.strip() + return markdown_table except Exception as e: raise TextExtractionError(f"Failed to extract text from CSV: {str(e)}") from e def _extract_text_from_excel(file_content: bytes) -> str: """Extract text from an Excel file using pandas.""" + + def _construct_markdown_table(df: pd.DataFrame) -> str: + """Manually construct a Markdown table from a DataFrame.""" + # Construct the header row + header_row = "| " + " | ".join(df.columns) + " |" + + # Construct the separator row + separator_row = "| " + " | ".join(["-" * len(col) for col in df.columns]) + " |" + + # Construct the data rows + data_rows = [] + for _, row in df.iterrows(): + data_row = "| " + " | ".join(map(str, row)) + " |" + data_rows.append(data_row) + + # Combine all rows into a single string + markdown_table = "\n".join([header_row, separator_row] + data_rows) + return markdown_table + try: excel_file = pd.ExcelFile(io.BytesIO(file_content)) markdown_table = "" @@ -365,8 +442,15 @@ def _extract_text_from_excel(file_content: bytes) -> str: try: df = excel_file.parse(sheet_name=sheet_name) df.dropna(how="all", inplace=True) - # Create Markdown table two times to separate tables with a newline - markdown_table += df.to_markdown(index=False) + "\n\n" + + # Combine multi-line text in each cell into a single line + df = df.applymap(lambda x: " ".join(str(x).splitlines()) if isinstance(x, str) else x) # type: ignore + + # Combine multi-line text in column names into a single line + df.columns = pd.Index([" ".join(col.splitlines()) for col in df.columns]) + + # Manually construct the Markdown table + markdown_table += _construct_markdown_table(df) + "\n\n" except Exception as e: continue return markdown_table diff --git a/api/core/workflow/nodes/end/end_node.py b/api/core/workflow/nodes/end/end_node.py index 6acc915ab5..0e9756b243 100644 --- a/api/core/workflow/nodes/end/end_node.py +++ b/api/core/workflow/nodes/end/end_node.py @@ -1,8 +1,8 @@ from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.end.entities import EndNodeData from core.workflow.nodes.enums import NodeType -from models.workflow import WorkflowNodeExecutionStatus class EndNode(BaseNode[EndNodeData]): diff --git a/api/core/workflow/nodes/event/event.py b/api/core/workflow/nodes/event/event.py index 9fea3fbda3..b72d111f49 100644 --- a/api/core/workflow/nodes/event/event.py +++ b/api/core/workflow/nodes/event/event.py @@ -1,10 +1,12 @@ +from collections.abc import Sequence from datetime import datetime from pydantic import BaseModel, Field from core.model_runtime.entities.llm_entities import LLMUsage +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.workflow.entities.node_entities import NodeRunResult -from models.workflow import WorkflowNodeExecutionStatus +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus class RunCompletedEvent(BaseModel): @@ -17,7 +19,7 @@ class RunStreamChunkEvent(BaseModel): class RunRetrieverResourceEvent(BaseModel): - retriever_resources: list[dict] = Field(..., description="retriever resources") + retriever_resources: Sequence[RetrievalSourceMetadata] = Field(..., description="retriever resources") context: str = Field(..., description="context") diff --git a/api/core/workflow/nodes/http_request/executor.py b/api/core/workflow/nodes/http_request/executor.py index 2c42f5a1be..e28ac6343b 100644 --- a/api/core/workflow/nodes/http_request/executor.py +++ b/api/core/workflow/nodes/http_request/executor.py @@ -235,6 +235,10 @@ class Executor: files[key].append(file_tuple) # convert files to list for httpx request + # If there are no actual files, we still need to force httpx to use `multipart/form-data`. + # This is achieved by inserting a harmless placeholder file that will be ignored by the server. + if not files: + self.files = [("__multipart_placeholder__", ("", b"", "application/octet-stream"))] if files: self.files = [] for key, file_tuples in files.items(): @@ -373,7 +377,10 @@ class Executor: raw += f"{k}: {v}\r\n" body_string = "" - if self.files: + # Only log actual files if present. + # '__multipart_placeholder__' is inserted to force multipart encoding but is not a real file. + # This prevents logging meaningless placeholder entries. + if self.files and not all(f[0] == "__multipart_placeholder__" for f in self.files): for key, (filename, content, mime_type) in self.files: body_string += f"--{boundary}\r\n" body_string += f'Content-Disposition: form-data; name="{key}"\r\n\r\n' diff --git a/api/core/workflow/nodes/http_request/node.py b/api/core/workflow/nodes/http_request/node.py index 1c82637974..6b1ac57c06 100644 --- a/api/core/workflow/nodes/http_request/node.py +++ b/api/core/workflow/nodes/http_request/node.py @@ -8,12 +8,12 @@ from core.file import File, FileTransferMethod from core.tools.tool_file_manager import ToolFileManager from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_entities import VariableSelector +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.http_request.executor import Executor from core.workflow.utils import variable_template_parser from factories import file_factory -from models.workflow import WorkflowNodeExecutionStatus from .entities import ( HttpRequestNodeData, diff --git a/api/core/workflow/nodes/if_else/if_else_node.py b/api/core/workflow/nodes/if_else/if_else_node.py index cb51b1ddd5..976922f75d 100644 --- a/api/core/workflow/nodes/if_else/if_else_node.py +++ b/api/core/workflow/nodes/if_else/if_else_node.py @@ -4,12 +4,12 @@ from typing_extensions import deprecated from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.if_else.entities import IfElseNodeData from core.workflow.utils.condition.entities import Condition from core.workflow.utils.condition.processor import ConditionProcessor -from models.workflow import WorkflowNodeExecutionStatus class IfElseNode(BaseNode[IfElseNodeData]): diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index a061dfc354..2592823540 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -7,15 +7,15 @@ from datetime import UTC, datetime from queue import Empty, Queue from typing import TYPE_CHECKING, Any, Optional, cast -from flask import Flask, current_app +from flask import Flask, current_app, has_request_context from configs import dify_config from core.variables import ArrayVariable, IntegerVariable, NoneVariable from core.workflow.entities.node_entities import ( - NodeRunMetadataKey, NodeRunResult, ) from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.graph_engine.entities.event import ( BaseGraphEvent, BaseNodeEvent, @@ -37,7 +37,6 @@ from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event import NodeEvent, RunCompletedEvent from core.workflow.nodes.iteration.entities import ErrorHandleMode, IterationNodeData -from models.workflow import WorkflowNodeExecutionStatus from .exc import ( InvalidIteratorValueError, @@ -249,8 +248,8 @@ class IterationNode(BaseNode[IterationNodeData]): status=WorkflowNodeExecutionStatus.SUCCEEDED, outputs={"output": outputs}, metadata={ - NodeRunMetadataKey.ITERATION_DURATION_MAP: iter_run_map, - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.ITERATION_DURATION_MAP: iter_run_map, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, }, ) ) @@ -361,16 +360,16 @@ class IterationNode(BaseNode[IterationNodeData]): event.parallel_mode_run_id = parallel_mode_run_id iter_metadata = { - NodeRunMetadataKey.ITERATION_ID: self.node_id, - NodeRunMetadataKey.ITERATION_INDEX: iter_run_index, + WorkflowNodeExecutionMetadataKey.ITERATION_ID: self.node_id, + WorkflowNodeExecutionMetadataKey.ITERATION_INDEX: iter_run_index, } if parallel_mode_run_id: # for parallel, the specific branch ID is more important than the sequential index - iter_metadata[NodeRunMetadataKey.PARALLEL_MODE_RUN_ID] = parallel_mode_run_id + iter_metadata[WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID] = parallel_mode_run_id if event.route_node_state.node_run_result: current_metadata = event.route_node_state.node_run_result.metadata or {} - if NodeRunMetadataKey.ITERATION_ID not in current_metadata: + if WorkflowNodeExecutionMetadataKey.ITERATION_ID not in current_metadata: event.route_node_state.node_run_result.metadata = {**current_metadata, **iter_metadata} return event @@ -586,7 +585,21 @@ class IterationNode(BaseNode[IterationNodeData]): """ for var, val in context.items(): var.set(val) + + # FIXME(-LAN-): Save current user before entering new app context + from flask import g + + saved_user = None + if has_request_context() and hasattr(g, "_login_user"): + saved_user = g._login_user + with flask_app.app_context(): + # Restore user in new app context + if saved_user is not None: + from flask import g + + g._login_user = saved_user + parallel_mode_run_id = uuid.uuid4().hex graph_engine_copy = graph_engine.create_copy() variable_pool_copy = graph_engine_copy.graph_runtime_state.variable_pool diff --git a/api/core/workflow/nodes/iteration/iteration_start_node.py b/api/core/workflow/nodes/iteration/iteration_start_node.py index fe955e47d1..bee481ebdb 100644 --- a/api/core/workflow/nodes/iteration/iteration_start_node.py +++ b/api/core/workflow/nodes/iteration/iteration_start_node.py @@ -1,8 +1,8 @@ from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.iteration.entities import IterationStartNodeData -from models.workflow import WorkflowNodeExecutionStatus class IterationStartNode(BaseNode[IterationStartNodeData]): diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index 5955022e5f..5cf5848d54 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -8,6 +8,7 @@ from typing import Any, Optional, cast from sqlalchemy import Float, and_, func, or_, text from sqlalchemy import cast as sqlalchemy_cast +from sqlalchemy.orm import Session from core.app.app_config.entities import DatasetRetrieveConfigEntity from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity @@ -24,6 +25,7 @@ from core.rag.retrieval.dataset_retrieval import DatasetRetrieval from core.rag.retrieval.retrieval_methods import RetrievalMethod from core.variables import StringSegment from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event.event import ModelInvokeCompletedEvent from core.workflow.nodes.knowledge_retrieval.template_prompts import ( @@ -41,7 +43,6 @@ from extensions.ext_database import db from extensions.ext_redis import redis_client from libs.json_in_md_parser import parse_and_check_json_markdown from models.dataset import Dataset, DatasetMetadata, Document, RateLimitLog -from models.workflow import WorkflowNodeExecutionStatus from services.feature_service import FeatureService from .entities import KnowledgeRetrievalNodeData, ModelConfig @@ -85,30 +86,31 @@ class KnowledgeRetrievalNode(LLMNode): return NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, inputs=variables, error="Query is required." ) + # TODO(-LAN-): Move this check outside. # check rate limit - if self.tenant_id: - knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(self.tenant_id) - if knowledge_rate_limit.enabled: - current_time = int(time.time() * 1000) - key = f"rate_limit_{self.tenant_id}" - redis_client.zadd(key, {current_time: current_time}) - redis_client.zremrangebyscore(key, 0, current_time - 60000) - request_count = redis_client.zcard(key) - if request_count > knowledge_rate_limit.limit: + knowledge_rate_limit = FeatureService.get_knowledge_rate_limit(self.tenant_id) + if knowledge_rate_limit.enabled: + current_time = int(time.time() * 1000) + key = f"rate_limit_{self.tenant_id}" + redis_client.zadd(key, {current_time: current_time}) + redis_client.zremrangebyscore(key, 0, current_time - 60000) + request_count = redis_client.zcard(key) + if request_count > knowledge_rate_limit.limit: + with Session(db.engine) as session: # add ratelimit record rate_limit_log = RateLimitLog( tenant_id=self.tenant_id, subscription_plan=knowledge_rate_limit.subscription_plan, operation="knowledge", ) - db.session.add(rate_limit_log) - db.session.commit() - return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - inputs=variables, - error="Sorry, you have reached the knowledge base request rate limit of your subscription.", - error_type="RateLimitExceeded", - ) + session.add(rate_limit_log) + session.commit() + return NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=variables, + error="Sorry, you have reached the knowledge base request rate limit of your subscription.", + error_type="RateLimitExceeded", + ) # retrieve knowledge try: @@ -173,7 +175,9 @@ class KnowledgeRetrievalNode(LLMNode): dataset_retrieval = DatasetRetrieval() if node_data.retrieval_mode == DatasetRetrieveConfigEntity.RetrieveStrategy.SINGLE.value: # fetch model config - model_instance, model_config = self._fetch_model_config(node_data.single_retrieval_config.model) # type: ignore + if node_data.single_retrieval_config is None: + raise ValueError("single_retrieval_config is required") + model_instance, model_config = self.get_model_config(node_data.single_retrieval_config.model) # check model is support tool calling model_type_instance = model_config.provider_model_bundle.model_type_instance model_type_instance = cast(LargeLanguageModel, model_type_instance) @@ -424,7 +428,7 @@ class KnowledgeRetrievalNode(LLMNode): raise ValueError("metadata_model_config is required") # get metadata model instance # fetch model config - model_instance, model_config = self._fetch_model_config(node_data.metadata_model_config) # type: ignore + model_instance, model_config = self.get_model_config(metadata_model_config) # fetch prompt messages prompt_template = self._get_prompt_template( node_data=node_data, @@ -550,14 +554,7 @@ class KnowledgeRetrievalNode(LLMNode): variable_mapping[node_id + ".query"] = node_data.query_variable_selector return variable_mapping - def _fetch_model_config(self, model: ModelConfig) -> tuple[ModelInstance, ModelConfigWithCredentialsEntity]: # type: ignore - """ - Fetch model config - :param model: model - :return: - """ - if model is None: - raise ValueError("model is required") + def get_model_config(self, model: ModelConfig) -> tuple[ModelInstance, ModelConfigWithCredentialsEntity]: model_name = model.name provider_name = model.provider diff --git a/api/core/workflow/nodes/list_operator/node.py b/api/core/workflow/nodes/list_operator/node.py index 04ccfc5405..e698d3f5d8 100644 --- a/api/core/workflow/nodes/list_operator/node.py +++ b/api/core/workflow/nodes/list_operator/node.py @@ -4,9 +4,9 @@ from typing import Any, Literal, Union from core.file import File from core.variables import ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType -from models.workflow import WorkflowNodeExecutionStatus from .entities import ListOperatorNodeData from .exc import InvalidConditionError, InvalidFilterValueError, InvalidKeyError, ListOperatorError diff --git a/api/core/workflow/nodes/llm/entities.py b/api/core/workflow/nodes/llm/entities.py index 486b4b01af..36d0688807 100644 --- a/api/core/workflow/nodes/llm/entities.py +++ b/api/core/workflow/nodes/llm/entities.py @@ -66,7 +66,8 @@ class LLMNodeData(BaseNodeData): context: ContextConfig vision: VisionConfig = Field(default_factory=VisionConfig) structured_output: dict | None = None - structured_output_enabled: bool = False + # We used 'structured_output_enabled' in the past, but it's not a good name. + structured_output_switch_on: bool = Field(False, alias="structured_output_enabled") @field_validator("prompt_config", mode="before") @classmethod @@ -74,3 +75,7 @@ class LLMNodeData(BaseNodeData): if v is None: return PromptConfig() return v + + @property + def structured_output_enabled(self) -> bool: + return self.structured_output_switch_on and self.structured_output is not None diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index eeb44601ec..ee181cf3bf 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -7,12 +7,12 @@ from datetime import UTC, datetime from typing import TYPE_CHECKING, Any, Optional, cast import json_repair +from sqlalchemy import select, update +from sqlalchemy.orm import Session from configs import dify_config from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity -from core.entities.model_entities import ModelStatus from core.entities.provider_entities import QuotaUnit -from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError from core.file import FileType, file_manager from core.helper.code_executor import CodeExecutor, CodeLanguage from core.memory.token_buffer_memory import TokenBufferMemory @@ -43,6 +43,7 @@ from core.model_runtime.utils.encoders import jsonable_encoder from core.plugin.entities.plugin import ModelProviderID from core.prompt.entities.advanced_prompt_entities import CompletionModelPromptTemplate, MemoryConfig from core.prompt.utils.prompt_message_util import PromptMessageUtil +from core.rag.entities.citation_metadata import RetrievalSourceMetadata from core.variables import ( ArrayAnySegment, ArrayFileSegment, @@ -53,9 +54,10 @@ from core.variables import ( StringSegment, ) from core.workflow.constants import SYSTEM_VARIABLE_NODE_ID -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_entities import VariableSelector from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.event import InNodeEvent from core.workflow.nodes.base import BaseNode @@ -70,14 +72,12 @@ from core.workflow.nodes.event import ( from core.workflow.utils.structured_output.entities import ( ResponseFormat, SpecialModelType, - SupportStructuredOutputStatus, ) from core.workflow.utils.structured_output.prompt import STRUCTURED_OUTPUT_PROMPT from core.workflow.utils.variable_template_parser import VariableTemplateParser from extensions.ext_database import db from models.model import Conversation from models.provider import Provider, ProviderType -from models.workflow import WorkflowNodeExecutionStatus from .entities import ( LLMNodeChatModelMessage, @@ -267,14 +267,14 @@ class LLMNode(BaseNode[LLMNodeData]): process_data=process_data, outputs=outputs, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens, - NodeRunMetadataKey.TOTAL_PRICE: usage.total_price, - NodeRunMetadataKey.CURRENCY: usage.currency, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price, + WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency, }, llm_usage=usage, ) ) - except LLMNodeError as e: + except ValueError as e: yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, @@ -302,8 +302,6 @@ class LLMNode(BaseNode[LLMNodeData]): prompt_messages: Sequence[PromptMessage], stop: Optional[Sequence[str]] = None, ) -> Generator[NodeEvent, None, None]: - db.session.close() - invoke_result = model_instance.invoke_llm( prompt_messages=list(prompt_messages), model_parameters=node_data_model.completion_params, @@ -474,7 +472,7 @@ class LLMNode(BaseNode[LLMNodeData]): yield RunRetrieverResourceEvent(retriever_resources=[], context=context_value_variable.value) elif isinstance(context_value_variable, ArraySegment): context_str = "" - original_retriever_resource = [] + original_retriever_resource: list[RetrievalSourceMetadata] = [] for item in context_value_variable.value: if isinstance(item, str): context_str += item + "\n" @@ -492,7 +490,7 @@ class LLMNode(BaseNode[LLMNodeData]): retriever_resources=original_retriever_resource, context=context_str.strip() ) - def _convert_to_original_retriever_resource(self, context_dict: dict) -> Optional[dict]: + def _convert_to_original_retriever_resource(self, context_dict: dict): if ( "metadata" in context_dict and "_source" in context_dict["metadata"] @@ -500,24 +498,24 @@ class LLMNode(BaseNode[LLMNodeData]): ): metadata = context_dict.get("metadata", {}) - source = { - "position": metadata.get("position"), - "dataset_id": metadata.get("dataset_id"), - "dataset_name": metadata.get("dataset_name"), - "document_id": metadata.get("document_id"), - "document_name": metadata.get("document_name"), - "data_source_type": metadata.get("data_source_type"), - "segment_id": metadata.get("segment_id"), - "retriever_from": metadata.get("retriever_from"), - "score": metadata.get("score"), - "hit_count": metadata.get("segment_hit_count"), - "word_count": metadata.get("segment_word_count"), - "segment_position": metadata.get("segment_position"), - "index_node_hash": metadata.get("segment_index_node_hash"), - "content": context_dict.get("content"), - "page": metadata.get("page"), - "doc_metadata": metadata.get("doc_metadata"), - } + source = RetrievalSourceMetadata( + position=metadata.get("position"), + dataset_id=metadata.get("dataset_id"), + dataset_name=metadata.get("dataset_name"), + document_id=metadata.get("document_id"), + document_name=metadata.get("document_name"), + data_source_type=metadata.get("data_source_type"), + segment_id=metadata.get("segment_id"), + retriever_from=metadata.get("retriever_from"), + score=metadata.get("score"), + hit_count=metadata.get("segment_hit_count"), + word_count=metadata.get("segment_word_count"), + segment_position=metadata.get("segment_position"), + index_node_hash=metadata.get("segment_index_node_hash"), + content=context_dict.get("content"), + page=metadata.get("page"), + doc_metadata=metadata.get("doc_metadata"), + ) return source @@ -526,65 +524,53 @@ class LLMNode(BaseNode[LLMNodeData]): def _fetch_model_config( self, node_data_model: ModelConfig ) -> tuple[ModelInstance, ModelConfigWithCredentialsEntity]: - model_name = node_data_model.name - provider_name = node_data_model.provider + if not node_data_model.mode: + raise LLMModeRequiredError("LLM mode is required.") - model_manager = ModelManager() - model_instance = model_manager.get_model_instance( - tenant_id=self.tenant_id, model_type=ModelType.LLM, provider=provider_name, model=model_name + model = ModelManager().get_model_instance( + tenant_id=self.tenant_id, + model_type=ModelType.LLM, + provider=node_data_model.provider, + model=node_data_model.name, ) - provider_model_bundle = model_instance.provider_model_bundle - model_type_instance = model_instance.model_type_instance - model_type_instance = cast(LargeLanguageModel, model_type_instance) - - model_credentials = model_instance.credentials + model.model_type_instance = cast(LargeLanguageModel, model.model_type_instance) # check model - provider_model = provider_model_bundle.configuration.get_provider_model( - model=model_name, model_type=ModelType.LLM + provider_model = model.provider_model_bundle.configuration.get_provider_model( + model=node_data_model.name, model_type=ModelType.LLM ) if provider_model is None: - raise ModelNotExistError(f"Model {model_name} not exist.") - - if provider_model.status == ModelStatus.NO_CONFIGURE: - raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.") - elif provider_model.status == ModelStatus.NO_PERMISSION: - raise ModelCurrentlyNotSupportError(f"Dify Hosted OpenAI {model_name} currently not support.") - elif provider_model.status == ModelStatus.QUOTA_EXCEEDED: - raise QuotaExceededError(f"Model provider {provider_name} quota exceeded.") + raise ModelNotExistError(f"Model {node_data_model.name} not exist.") + provider_model.raise_for_status() # model config - completion_params = node_data_model.completion_params - stop = [] - if "stop" in completion_params: - stop = completion_params["stop"] - del completion_params["stop"] - - # get model mode - model_mode = node_data_model.mode - if not model_mode: - raise LLMModeRequiredError("LLM mode is required.") - - model_schema = model_type_instance.get_model_schema(model_name, model_credentials) + stop: list[str] = [] + if "stop" in node_data_model.completion_params: + stop = node_data_model.completion_params.pop("stop") + model_schema = model.model_type_instance.get_model_schema(node_data_model.name, model.credentials) if not model_schema: - raise ModelNotExistError(f"Model {model_name} not exist.") - support_structured_output = self._check_model_structured_output_support() - if support_structured_output == SupportStructuredOutputStatus.SUPPORTED: - completion_params = self._handle_native_json_schema(completion_params, model_schema.parameter_rules) - elif support_structured_output == SupportStructuredOutputStatus.UNSUPPORTED: - # Set appropriate response format based on model capabilities - self._set_response_format(completion_params, model_schema.parameter_rules) - return model_instance, ModelConfigWithCredentialsEntity( - provider=provider_name, - model=model_name, + raise ModelNotExistError(f"Model {node_data_model.name} not exist.") + + if self.node_data.structured_output_enabled: + if model_schema.support_structure_output: + node_data_model.completion_params = self._handle_native_json_schema( + node_data_model.completion_params, model_schema.parameter_rules + ) + else: + # Set appropriate response format based on model capabilities + self._set_response_format(node_data_model.completion_params, model_schema.parameter_rules) + + return model, ModelConfigWithCredentialsEntity( + provider=node_data_model.provider, + model=node_data_model.name, model_schema=model_schema, - mode=model_mode, - provider_model_bundle=provider_model_bundle, - credentials=model_credentials, - parameters=completion_params, + mode=node_data_model.mode, + provider_model_bundle=model.provider_model_bundle, + credentials=model.credentials, + parameters=node_data_model.completion_params, stop=stop, ) @@ -602,15 +588,11 @@ class LLMNode(BaseNode[LLMNodeData]): return None conversation_id = conversation_id_variable.value - # get conversation - conversation = ( - db.session.query(Conversation) - .filter(Conversation.app_id == self.app_id, Conversation.id == conversation_id) - .first() - ) - - if not conversation: - return None + with Session(db.engine, expire_on_commit=False) as session: + stmt = select(Conversation).where(Conversation.app_id == self.app_id, Conversation.id == conversation_id) + conversation = session.scalar(stmt) + if not conversation: + return None memory = TokenBufferMemory(conversation=conversation, model_instance=model_instance) @@ -789,13 +771,25 @@ class LLMNode(BaseNode[LLMNodeData]): "No prompt found in the LLM configuration. " "Please ensure a prompt is properly configured before proceeding." ) - support_structured_output = self._check_model_structured_output_support() - if support_structured_output == SupportStructuredOutputStatus.UNSUPPORTED: - filtered_prompt_messages = self._handle_prompt_based_schema( - prompt_messages=filtered_prompt_messages, - ) - stop = model_config.stop - return filtered_prompt_messages, stop + + model = ModelManager().get_model_instance( + tenant_id=self.tenant_id, + model_type=ModelType.LLM, + provider=self.node_data.model.provider, + model=self.node_data.model.name, + ) + model_schema = model.model_type_instance.get_model_schema( + model=self.node_data.model.name, + credentials=model.credentials, + ) + if not model_schema: + raise ModelNotExistError(f"Model {self.node_data.model.name} not exist.") + if self.node_data.structured_output_enabled: + if not model_schema.support_structure_output: + filtered_prompt_messages = self._handle_prompt_based_schema( + prompt_messages=filtered_prompt_messages, + ) + return filtered_prompt_messages, model_config.stop def _parse_structured_output(self, result_text: str) -> dict[str, Any]: structured_output: dict[str, Any] = {} @@ -846,20 +840,24 @@ class LLMNode(BaseNode[LLMNodeData]): used_quota = 1 if used_quota is not None and system_configuration.current_quota_type is not None: - db.session.query(Provider).filter( - Provider.tenant_id == tenant_id, - # TODO: Use provider name with prefix after the data migration. - Provider.provider_name == ModelProviderID(model_instance.provider).provider_name, - Provider.provider_type == ProviderType.SYSTEM.value, - Provider.quota_type == system_configuration.current_quota_type.value, - Provider.quota_limit > Provider.quota_used, - ).update( - { - "quota_used": Provider.quota_used + used_quota, - "last_used": datetime.now(tz=UTC).replace(tzinfo=None), - } - ) - db.session.commit() + with Session(db.engine) as session: + stmt = ( + update(Provider) + .where( + Provider.tenant_id == tenant_id, + # TODO: Use provider name with prefix after the data migration. + Provider.provider_name == ModelProviderID(model_instance.provider).provider_name, + Provider.provider_type == ProviderType.SYSTEM.value, + Provider.quota_type == system_configuration.current_quota_type.value, + Provider.quota_limit > Provider.quota_used, + ) + .values( + quota_used=Provider.quota_used + used_quota, + last_used=datetime.now(tz=UTC).replace(tzinfo=None), + ) + ) + session.execute(stmt) + session.commit() @classmethod def _extract_variable_selector_to_variable_mapping( @@ -902,7 +900,7 @@ class LLMNode(BaseNode[LLMNodeData]): variable_mapping["#context#"] = node_data.context.variable_selector if node_data.vision.enabled: - variable_mapping["#files#"] = ["sys", SystemVariableKey.FILES.value] + variable_mapping["#files#"] = node_data.vision.configs.variable_selector if node_data.memory: variable_mapping["#sys.query#"] = ["sys", SystemVariableKey.QUERY.value] @@ -1184,32 +1182,6 @@ class LLMNode(BaseNode[LLMNodeData]): except json.JSONDecodeError: raise LLMNodeError("structured_output_schema is not valid JSON format") - def _check_model_structured_output_support(self) -> SupportStructuredOutputStatus: - """ - Check if the current model supports structured output. - - Returns: - SupportStructuredOutput: The support status of structured output - """ - # Early return if structured output is disabled - if ( - not isinstance(self.node_data, LLMNodeData) - or not self.node_data.structured_output_enabled - or not self.node_data.structured_output - ): - return SupportStructuredOutputStatus.DISABLED - # Get model schema and check if it exists - model_schema = self._fetch_model_schema(self.node_data.model.provider) - if not model_schema: - return SupportStructuredOutputStatus.DISABLED - - # Check if model supports structured output feature - return ( - SupportStructuredOutputStatus.SUPPORTED - if bool(model_schema.features and ModelFeature.STRUCTURED_OUTPUT in model_schema.features) - else SupportStructuredOutputStatus.UNSUPPORTED - ) - def _save_multimodal_output_and_convert_result_to_markdown( self, contents: str | list[PromptMessageContentUnionTypes] | None, diff --git a/api/core/workflow/nodes/loop/loop_end_node.py b/api/core/workflow/nodes/loop/loop_end_node.py index 5d4ce0ccbe..327b9e234b 100644 --- a/api/core/workflow/nodes/loop/loop_end_node.py +++ b/api/core/workflow/nodes/loop/loop_end_node.py @@ -1,8 +1,8 @@ from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.loop.entities import LoopEndNodeData -from models.workflow import WorkflowNodeExecutionStatus class LoopEndNode(BaseNode[LoopEndNodeData]): diff --git a/api/core/workflow/nodes/loop/loop_node.py b/api/core/workflow/nodes/loop/loop_node.py index bad3e2b928..fafa205386 100644 --- a/api/core/workflow/nodes/loop/loop_node.py +++ b/api/core/workflow/nodes/loop/loop_node.py @@ -15,7 +15,8 @@ from core.variables import ( SegmentType, StringSegment, ) -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.graph_engine.entities.event import ( BaseGraphEvent, BaseNodeEvent, @@ -37,7 +38,6 @@ from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event import NodeEvent, RunCompletedEvent from core.workflow.nodes.loop.entities import LoopNodeData from core.workflow.utils.condition.processor import ConditionProcessor -from models.workflow import WorkflowNodeExecutionStatus if TYPE_CHECKING: from core.workflow.entities.variable_pool import VariablePool @@ -187,10 +187,10 @@ class LoopNode(BaseNode[LoopNodeData]): outputs=self.node_data.outputs, steps=loop_count, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, "completed_reason": "loop_break" if check_break_result else "loop_completed", - NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, - NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, ) @@ -198,9 +198,9 @@ class LoopNode(BaseNode[LoopNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, - NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, - NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, outputs=self.node_data.outputs, inputs=inputs, @@ -221,8 +221,8 @@ class LoopNode(BaseNode[LoopNodeData]): metadata={ "total_tokens": graph_engine.graph_runtime_state.total_tokens, "completed_reason": "error", - NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, - NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, error=str(e), ) @@ -232,9 +232,9 @@ class LoopNode(BaseNode[LoopNodeData]): status=WorkflowNodeExecutionStatus.FAILED, error=str(e), metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, - NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, - NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, ) ) @@ -322,7 +322,9 @@ class LoopNode(BaseNode[LoopNodeData]): inputs=inputs, steps=current_index, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: ( + graph_engine.graph_runtime_state.total_tokens + ), "completed_reason": "error", }, error=event.error, @@ -331,7 +333,11 @@ class LoopNode(BaseNode[LoopNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, error=event.error, - metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + metadata={ + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: ( + graph_engine.graph_runtime_state.total_tokens + ) + }, ) ) return {"check_break_result": True} @@ -347,7 +353,7 @@ class LoopNode(BaseNode[LoopNodeData]): inputs=inputs, steps=current_index, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, "completed_reason": "error", }, error=event.error, @@ -356,7 +362,9 @@ class LoopNode(BaseNode[LoopNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, error=event.error, - metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + metadata={ + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens + }, ) ) return {"check_break_result": True} @@ -411,11 +419,11 @@ class LoopNode(BaseNode[LoopNodeData]): metadata = event.route_node_state.node_run_result.metadata if not metadata: metadata = {} - if NodeRunMetadataKey.LOOP_ID not in metadata: + if WorkflowNodeExecutionMetadataKey.LOOP_ID not in metadata: metadata = { **metadata, - NodeRunMetadataKey.LOOP_ID: self.node_id, - NodeRunMetadataKey.LOOP_INDEX: iter_run_index, + WorkflowNodeExecutionMetadataKey.LOOP_ID: self.node_id, + WorkflowNodeExecutionMetadataKey.LOOP_INDEX: iter_run_index, } event.route_node_state.node_run_result.metadata = metadata return event diff --git a/api/core/workflow/nodes/loop/loop_start_node.py b/api/core/workflow/nodes/loop/loop_start_node.py index 7cf145e4e5..5a15f36044 100644 --- a/api/core/workflow/nodes/loop/loop_start_node.py +++ b/api/core/workflow/nodes/loop/loop_start_node.py @@ -1,8 +1,8 @@ from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.loop.entities import LoopStartNodeData -from models.workflow import WorkflowNodeExecutionStatus class LoopStartNode(BaseNode[LoopStartNodeData]): diff --git a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py index 8db1e432fc..4f31258b15 100644 --- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py +++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py @@ -25,13 +25,12 @@ from core.prompt.advanced_prompt_transform import AdvancedPromptTransform from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate from core.prompt.simple_prompt_transform import ModelMode from core.prompt.utils.prompt_message_util import PromptMessageUtil -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.nodes.enums import NodeType from core.workflow.nodes.llm import LLMNode, ModelConfig from core.workflow.utils import variable_template_parser -from extensions.ext_database import db -from models.workflow import WorkflowNodeExecutionStatus from .entities import ParameterExtractorNodeData from .exc import ( @@ -244,9 +243,9 @@ class ParameterExtractorNode(LLMNode): process_data=process_data, outputs={"__is_success": 1 if not error else 0, "__reason": error, **result}, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens, - NodeRunMetadataKey.TOTAL_PRICE: usage.total_price, - NodeRunMetadataKey.CURRENCY: usage.currency, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price, + WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency, }, llm_usage=usage, ) @@ -259,8 +258,6 @@ class ParameterExtractorNode(LLMNode): tools: list[PromptMessageTool], stop: list[str], ) -> tuple[str, LLMUsage, Optional[AssistantPromptMessage.ToolCall]]: - db.session.close() - invoke_result = model_instance.invoke_llm( prompt_messages=prompt_messages, model_parameters=node_data_model.completion_params, @@ -816,7 +813,6 @@ class ParameterExtractorNode(LLMNode): :param node_data: node data :return: """ - # FIXME: fix the type error later variable_mapping: dict[str, Sequence[str]] = {"query": node_data.query} if node_data.instruction: diff --git a/api/core/workflow/nodes/question_classifier/question_classifier_node.py b/api/core/workflow/nodes/question_classifier/question_classifier_node.py index b4f34a3bef..28d8b3b867 100644 --- a/api/core/workflow/nodes/question_classifier/question_classifier_node.py +++ b/api/core/workflow/nodes/question_classifier/question_classifier_node.py @@ -10,7 +10,8 @@ from core.model_runtime.utils.encoders import jsonable_encoder from core.prompt.advanced_prompt_transform import AdvancedPromptTransform from core.prompt.simple_prompt_transform import ModelMode from core.prompt.utils.prompt_message_util import PromptMessageUtil -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event import ModelInvokeCompletedEvent from core.workflow.nodes.llm import ( @@ -20,7 +21,6 @@ from core.workflow.nodes.llm import ( ) from core.workflow.utils.variable_template_parser import VariableTemplateParser from libs.json_in_md_parser import parse_and_check_json_markdown -from models.workflow import WorkflowNodeExecutionStatus from .entities import QuestionClassifierNodeData from .exc import InvalidModelTypeError @@ -79,9 +79,13 @@ class QuestionClassifierNode(LLMNode): memory=memory, max_token_limit=rest_token, ) + # Some models (e.g. Gemma, Mistral) force roles alternation (user/assistant/user/assistant...). + # If both self._get_prompt_template and self._fetch_prompt_messages append a user prompt, + # two consecutive user prompts will be generated, causing model's error. + # To avoid this, set sys_query to an empty string so that only one user prompt is appended at the end. prompt_messages, stop = self._fetch_prompt_messages( prompt_template=prompt_template, - sys_query=query, + sys_query="", memory=memory, model_config=model_config, sys_files=files, @@ -142,9 +146,9 @@ class QuestionClassifierNode(LLMNode): outputs=outputs, edge_source_handle=category_id, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens, - NodeRunMetadataKey.TOTAL_PRICE: usage.total_price, - NodeRunMetadataKey.CURRENCY: usage.currency, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price, + WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency, }, llm_usage=usage, ) @@ -154,9 +158,9 @@ class QuestionClassifierNode(LLMNode): inputs=variables, error=str(e), metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens, - NodeRunMetadataKey.TOTAL_PRICE: usage.total_price, - NodeRunMetadataKey.CURRENCY: usage.currency, + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price, + WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency, }, llm_usage=usage, ) diff --git a/api/core/workflow/nodes/start/start_node.py b/api/core/workflow/nodes/start/start_node.py index 1b47b81517..8839aec9d6 100644 --- a/api/core/workflow/nodes/start/start_node.py +++ b/api/core/workflow/nodes/start/start_node.py @@ -1,9 +1,9 @@ from core.workflow.constants import SYSTEM_VARIABLE_NODE_ID from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.start.entities import StartNodeData -from models.workflow import WorkflowNodeExecutionStatus class StartNode(BaseNode[StartNodeData]): diff --git a/api/core/workflow/nodes/template_transform/template_transform_node.py b/api/core/workflow/nodes/template_transform/template_transform_node.py index 22a1b21888..476cf7eee4 100644 --- a/api/core/workflow/nodes/template_transform/template_transform_node.py +++ b/api/core/workflow/nodes/template_transform/template_transform_node.py @@ -4,10 +4,10 @@ from typing import Any, Optional from core.helper.code_executor.code_executor import CodeExecutionError, CodeExecutor, CodeLanguage from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.template_transform.entities import TemplateTransformNodeData -from models.workflow import WorkflowNodeExecutionStatus MAX_TEMPLATE_TRANSFORM_OUTPUT_LENGTH = int(os.environ.get("TEMPLATE_TRANSFORM_MAX_LENGTH", "80000")) diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index c72ae5b69b..aaecc7b989 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -14,8 +14,9 @@ from core.tools.tool_engine import ToolEngine from core.tools.utils.message_transformer import ToolFileMessageTransformer from core.variables.segments import ArrayAnySegment from core.variables.variables import ArrayAnyVariable -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.event import AgentLogEvent from core.workflow.nodes.base import BaseNode @@ -25,7 +26,6 @@ from core.workflow.utils.variable_template_parser import VariableTemplateParser from extensions.ext_database import db from factories import file_factory from models import ToolFile -from models.workflow import WorkflowNodeExecutionStatus from services.tools.builtin_tools_manage_service import BuiltinToolManageService from .entities import ToolNodeData @@ -70,7 +70,7 @@ class ToolNode(BaseNode[ToolNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, inputs={}, - metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info}, error=f"Failed to get tool runtime: {str(e)}", error_type=type(e).__name__, ) @@ -110,7 +110,7 @@ class ToolNode(BaseNode[ToolNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, inputs=parameters_for_log, - metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info}, error=f"Failed to invoke tool: {str(e)}", error_type=type(e).__name__, ) @@ -125,7 +125,7 @@ class ToolNode(BaseNode[ToolNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, inputs=parameters_for_log, - metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info}, error=f"Failed to transform tool message: {str(e)}", error_type=type(e).__name__, ) @@ -201,7 +201,7 @@ class ToolNode(BaseNode[ToolNodeData]): json: list[dict] = [] agent_logs: list[AgentLogEvent] = [] - agent_execution_metadata: Mapping[NodeRunMetadataKey, Any] = {} + agent_execution_metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] = {} variables: dict[str, Any] = {} @@ -274,7 +274,7 @@ class ToolNode(BaseNode[ToolNodeData]): agent_execution_metadata = { key: value for key, value in msg_metadata.items() - if key in NodeRunMetadataKey.__members__.values() + if key in WorkflowNodeExecutionMetadataKey.__members__.values() } json.append(message.message.json_object) elif message.type == ToolInvokeMessage.MessageType.LINK: @@ -366,8 +366,8 @@ class ToolNode(BaseNode[ToolNodeData]): outputs={"text": text, "files": files, "json": json, **variables}, metadata={ **agent_execution_metadata, - NodeRunMetadataKey.TOOL_INFO: tool_info, - NodeRunMetadataKey.AGENT_LOG: agent_logs, + WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info, + WorkflowNodeExecutionMetadataKey.AGENT_LOG: agent_logs, }, inputs=parameters_for_log, ) diff --git a/api/core/workflow/nodes/variable_aggregator/entities.py b/api/core/workflow/nodes/variable_aggregator/entities.py index 9e58f5e944..f4577d7573 100644 --- a/api/core/workflow/nodes/variable_aggregator/entities.py +++ b/api/core/workflow/nodes/variable_aggregator/entities.py @@ -1,7 +1,8 @@ -from typing import Literal, Optional +from typing import Optional from pydantic import BaseModel +from core.variables.types import SegmentType from core.workflow.nodes.base import BaseNodeData @@ -17,7 +18,7 @@ class AdvancedSettings(BaseModel): Group. """ - output_type: Literal["string", "number", "object", "array[string]", "array[number]", "array[object]"] + output_type: SegmentType variables: list[list[str]] group_name: str diff --git a/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py b/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py index 372496a8fa..db3e25b015 100644 --- a/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py +++ b/api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py @@ -1,8 +1,8 @@ from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.variable_aggregator.entities import VariableAssignerNodeData -from models.workflow import WorkflowNodeExecutionStatus class VariableAggregatorNode(BaseNode[VariableAssignerNodeData]): diff --git a/api/core/workflow/nodes/variable_assigner/v1/node.py b/api/core/workflow/nodes/variable_assigner/v1/node.py index 7c7f14c0b8..835e1d77b5 100644 --- a/api/core/workflow/nodes/variable_assigner/v1/node.py +++ b/api/core/workflow/nodes/variable_assigner/v1/node.py @@ -1,11 +1,11 @@ from core.variables import SegmentType, Variable from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.variable_assigner.common import helpers as common_helpers from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError from factories import variable_factory -from models.workflow import WorkflowNodeExecutionStatus from .node_data import VariableAssignerData, WriteMode diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py index 6a7ad86b51..8759a55b34 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/node.py +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -6,11 +6,11 @@ from core.app.entities.app_invoke_entities import InvokeFrom from core.variables import SegmentType, Variable from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType from core.workflow.nodes.variable_assigner.common import helpers as common_helpers from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError -from models.workflow import WorkflowNodeExecutionStatus from . import helpers from .constants import EMPTY_VALUE_MAPPING diff --git a/api/core/workflow/repository/__init__.py b/api/core/workflow/repositories/__init__.py similarity index 69% rename from api/core/workflow/repository/__init__.py rename to api/core/workflow/repositories/__init__.py index 672abb6583..a778151baa 100644 --- a/api/core/workflow/repository/__init__.py +++ b/api/core/workflow/repositories/__init__.py @@ -6,7 +6,7 @@ for accessing and manipulating data, regardless of the underlying storage mechanism. """ -from core.workflow.repository.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository __all__ = [ "OrderConfig", diff --git a/api/core/workflow/repositories/workflow_execution_repository.py b/api/core/workflow/repositories/workflow_execution_repository.py new file mode 100644 index 0000000000..5917310c8b --- /dev/null +++ b/api/core/workflow/repositories/workflow_execution_repository.py @@ -0,0 +1,42 @@ +from typing import Optional, Protocol + +from core.workflow.entities.workflow_execution import WorkflowExecution + + +class WorkflowExecutionRepository(Protocol): + """ + Repository interface for WorkflowExecution. + + This interface defines the contract for accessing and manipulating + WorkflowExecution data, regardless of the underlying storage mechanism. + + Note: Domain-specific concepts like multi-tenancy (tenant_id), application context (app_id), + and other implementation details should be handled at the implementation level, not in + the core interface. This keeps the core domain model clean and independent of specific + application domains or deployment scenarios. + """ + + def save(self, execution: WorkflowExecution) -> None: + """ + Save or update a WorkflowExecution instance. + + This method handles both creating new records and updating existing ones. + The implementation should determine whether to create or update based on + the execution's ID or other identifying fields. + + Args: + execution: The WorkflowExecution instance to save or update + """ + ... + + def get(self, execution_id: str) -> Optional[WorkflowExecution]: + """ + Retrieve a WorkflowExecution by its ID. + + Args: + execution_id: The workflow execution ID + + Returns: + The WorkflowExecution instance if found, None otherwise + """ + ... diff --git a/api/core/workflow/repository/workflow_node_execution_repository.py b/api/core/workflow/repositories/workflow_node_execution_repository.py similarity index 91% rename from api/core/workflow/repository/workflow_node_execution_repository.py rename to api/core/workflow/repositories/workflow_node_execution_repository.py index 3ca9e2ecab..1908a6b190 100644 --- a/api/core/workflow/repository/workflow_node_execution_repository.py +++ b/api/core/workflow/repositories/workflow_node_execution_repository.py @@ -2,7 +2,7 @@ from collections.abc import Sequence from dataclasses import dataclass from typing import Literal, Optional, Protocol -from core.workflow.entities.node_execution_entities import NodeExecution +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution @dataclass @@ -26,7 +26,7 @@ class WorkflowNodeExecutionRepository(Protocol): application domains or deployment scenarios. """ - def save(self, execution: NodeExecution) -> None: + def save(self, execution: WorkflowNodeExecution) -> None: """ Save or update a NodeExecution instance. @@ -39,7 +39,7 @@ class WorkflowNodeExecutionRepository(Protocol): """ ... - def get_by_node_execution_id(self, node_execution_id: str) -> Optional[NodeExecution]: + def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]: """ Retrieve a NodeExecution by its node_execution_id. @@ -55,7 +55,7 @@ class WorkflowNodeExecutionRepository(Protocol): self, workflow_run_id: str, order_config: Optional[OrderConfig] = None, - ) -> Sequence[NodeExecution]: + ) -> Sequence[WorkflowNodeExecution]: """ Retrieve all NodeExecution instances for a specific workflow run. @@ -70,7 +70,7 @@ class WorkflowNodeExecutionRepository(Protocol): """ ... - def get_running_executions(self, workflow_run_id: str) -> Sequence[NodeExecution]: + def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]: """ Retrieve all running NodeExecution instances for a specific workflow run. diff --git a/api/core/workflow/utils/structured_output/entities.py b/api/core/workflow/utils/structured_output/entities.py index 7954acbaee..6491042bfe 100644 --- a/api/core/workflow/utils/structured_output/entities.py +++ b/api/core/workflow/utils/structured_output/entities.py @@ -14,11 +14,3 @@ class SpecialModelType(StrEnum): GEMINI = "gemini" OLLAMA = "ollama" - - -class SupportStructuredOutputStatus(StrEnum): - """Constants for structured output support status""" - - SUPPORTED = "supported" - UNSUPPORTED = "unsupported" - DISABLED = "disabled" diff --git a/api/core/workflow/workflow_cycle_manager.py b/api/core/workflow/workflow_cycle_manager.py index 6d33d7372c..b88f9edd03 100644 --- a/api/core/workflow/workflow_cycle_manager.py +++ b/api/core/workflow/workflow_cycle_manager.py @@ -1,22 +1,11 @@ -import json -import time -from collections.abc import Mapping, Sequence +from collections.abc import Mapping +from dataclasses import dataclass from datetime import UTC, datetime -from typing import Any, Optional, Union, cast +from typing import Any, Optional, Union from uuid import uuid4 -from sqlalchemy import func, select -from sqlalchemy.orm import Session - -from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom, WorkflowAppGenerateEntity +from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity from core.app.entities.queue_entities import ( - QueueAgentLogEvent, - QueueIterationCompletedEvent, - QueueIterationNextEvent, - QueueIterationStartEvent, - QueueLoopCompletedEvent, - QueueLoopNextEvent, - QueueLoopStartEvent, QueueNodeExceptionEvent, QueueNodeFailedEvent, QueueNodeInIterationFailedEvent, @@ -24,51 +13,28 @@ from core.app.entities.queue_entities import ( QueueNodeRetryEvent, QueueNodeStartedEvent, QueueNodeSucceededEvent, - QueueParallelBranchRunFailedEvent, - QueueParallelBranchRunStartedEvent, - QueueParallelBranchRunSucceededEvent, -) -from core.app.entities.task_entities import ( - AgentLogStreamResponse, - IterationNodeCompletedStreamResponse, - IterationNodeNextStreamResponse, - IterationNodeStartStreamResponse, - LoopNodeCompletedStreamResponse, - LoopNodeNextStreamResponse, - LoopNodeStartStreamResponse, - NodeFinishStreamResponse, - NodeRetryStreamResponse, - NodeStartStreamResponse, - ParallelBranchFinishedStreamResponse, - ParallelBranchStartStreamResponse, - WorkflowFinishStreamResponse, - WorkflowStartStreamResponse, ) from core.app.task_pipeline.exc import WorkflowRunNotFoundError -from core.file import FILE_MODEL_IDENTITY, File from core.ops.entities.trace_entity import TraceTaskName from core.ops.ops_trace_manager import TraceQueueManager, TraceTask -from core.tools.tool_manager import ToolManager -from core.workflow.entities.node_entities import NodeRunMetadataKey -from core.workflow.entities.node_execution_entities import ( - NodeExecution, - NodeExecutionStatus, +from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType +from core.workflow.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionMetadataKey, + WorkflowNodeExecutionStatus, ) from core.workflow.enums import SystemVariableKey -from core.workflow.nodes import NodeType -from core.workflow.nodes.tool.entities import ToolNodeData -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository from core.workflow.workflow_entry import WorkflowEntry -from models import ( - Account, - CreatorUserRole, - EndUser, - Workflow, - WorkflowNodeExecutionStatus, - WorkflowRun, - WorkflowRunStatus, - WorkflowRunTriggeredFrom, -) + + +@dataclass +class CycleManagerWorkflowInfo: + workflow_id: str + workflow_type: WorkflowType + version: str + graph_data: Mapping[str, Any] class WorkflowCycleManager: @@ -77,237 +43,189 @@ class WorkflowCycleManager: *, application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity], workflow_system_variables: dict[SystemVariableKey, Any], + workflow_info: CycleManagerWorkflowInfo, + workflow_execution_repository: WorkflowExecutionRepository, workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: - self._workflow_run: WorkflowRun | None = None self._application_generate_entity = application_generate_entity self._workflow_system_variables = workflow_system_variables + self._workflow_info = workflow_info + self._workflow_execution_repository = workflow_execution_repository self._workflow_node_execution_repository = workflow_node_execution_repository - def _handle_workflow_run_start( - self, - *, - session: Session, - workflow_id: str, - user_id: str, - created_by_role: CreatorUserRole, - ) -> WorkflowRun: - workflow_stmt = select(Workflow).where(Workflow.id == workflow_id) - workflow = session.scalar(workflow_stmt) - if not workflow: - raise ValueError(f"Workflow not found: {workflow_id}") - - max_sequence_stmt = select(func.max(WorkflowRun.sequence_number)).where( - WorkflowRun.tenant_id == workflow.tenant_id, - WorkflowRun.app_id == workflow.app_id, - ) - max_sequence = session.scalar(max_sequence_stmt) or 0 - new_sequence_number = max_sequence + 1 - + def handle_workflow_run_start(self) -> WorkflowExecution: inputs = {**self._application_generate_entity.inputs} for key, value in (self._workflow_system_variables or {}).items(): if key.value == "conversation": continue inputs[f"sys.{key.value}"] = value - triggered_from = ( - WorkflowRunTriggeredFrom.DEBUGGING - if self._application_generate_entity.invoke_from == InvokeFrom.DEBUGGER - else WorkflowRunTriggeredFrom.APP_RUN - ) - # handle special values inputs = dict(WorkflowEntry.handle_special_values(inputs) or {}) # init workflow run # TODO: This workflow_run_id should always not be None, maybe we can use a more elegant way to handle this - workflow_run_id = str(self._workflow_system_variables.get(SystemVariableKey.WORKFLOW_RUN_ID) or uuid4()) - - workflow_run = WorkflowRun() - workflow_run.id = workflow_run_id - workflow_run.tenant_id = workflow.tenant_id - workflow_run.app_id = workflow.app_id - workflow_run.sequence_number = new_sequence_number - workflow_run.workflow_id = workflow.id - workflow_run.type = workflow.type - workflow_run.triggered_from = triggered_from.value - workflow_run.version = workflow.version - workflow_run.graph = workflow.graph - workflow_run.inputs = json.dumps(inputs) - workflow_run.status = WorkflowRunStatus.RUNNING - workflow_run.created_by_role = created_by_role - workflow_run.created_by = user_id - workflow_run.created_at = datetime.now(UTC).replace(tzinfo=None) - - session.add(workflow_run) - - return workflow_run - - def _handle_workflow_run_success( + execution_id = str(self._workflow_system_variables.get(SystemVariableKey.WORKFLOW_EXECUTION_ID) or uuid4()) + execution = WorkflowExecution.new( + id_=execution_id, + workflow_id=self._workflow_info.workflow_id, + workflow_type=self._workflow_info.workflow_type, + workflow_version=self._workflow_info.version, + graph=self._workflow_info.graph_data, + inputs=inputs, + started_at=datetime.now(UTC).replace(tzinfo=None), + ) + + self._workflow_execution_repository.save(execution) + + return execution + + def handle_workflow_run_success( self, *, - session: Session, workflow_run_id: str, - start_at: float, total_tokens: int, total_steps: int, outputs: Mapping[str, Any] | None = None, conversation_id: Optional[str] = None, trace_manager: Optional[TraceQueueManager] = None, - ) -> WorkflowRun: - """ - Workflow run success - :param workflow_run_id: workflow run id - :param start_at: start time - :param total_tokens: total tokens - :param total_steps: total steps - :param outputs: outputs - :param conversation_id: conversation id - :return: - """ - workflow_run = self._get_workflow_run(session=session, workflow_run_id=workflow_run_id) + ) -> WorkflowExecution: + workflow_execution = self._get_workflow_execution_or_raise_error(workflow_run_id) outputs = WorkflowEntry.handle_special_values(outputs) - workflow_run.status = WorkflowRunStatus.SUCCEEDED - workflow_run.outputs = json.dumps(outputs or {}) - workflow_run.elapsed_time = time.perf_counter() - start_at - workflow_run.total_tokens = total_tokens - workflow_run.total_steps = total_steps - workflow_run.finished_at = datetime.now(UTC).replace(tzinfo=None) + workflow_execution.status = WorkflowExecutionStatus.SUCCEEDED + workflow_execution.outputs = outputs or {} + workflow_execution.total_tokens = total_tokens + workflow_execution.total_steps = total_steps + workflow_execution.finished_at = datetime.now(UTC).replace(tzinfo=None) if trace_manager: trace_manager.add_trace_task( TraceTask( TraceTaskName.WORKFLOW_TRACE, - workflow_run=workflow_run, + workflow_execution=workflow_execution, conversation_id=conversation_id, user_id=trace_manager.user_id, ) ) - return workflow_run + self._workflow_execution_repository.save(workflow_execution) + return workflow_execution - def _handle_workflow_run_partial_success( + def handle_workflow_run_partial_success( self, *, - session: Session, workflow_run_id: str, - start_at: float, total_tokens: int, total_steps: int, outputs: Mapping[str, Any] | None = None, exceptions_count: int = 0, conversation_id: Optional[str] = None, trace_manager: Optional[TraceQueueManager] = None, - ) -> WorkflowRun: - workflow_run = self._get_workflow_run(session=session, workflow_run_id=workflow_run_id) + ) -> WorkflowExecution: + execution = self._get_workflow_execution_or_raise_error(workflow_run_id) outputs = WorkflowEntry.handle_special_values(dict(outputs) if outputs else None) - workflow_run.status = WorkflowRunStatus.PARTIAL_SUCCEEDED.value - workflow_run.outputs = json.dumps(outputs or {}) - workflow_run.elapsed_time = time.perf_counter() - start_at - workflow_run.total_tokens = total_tokens - workflow_run.total_steps = total_steps - workflow_run.finished_at = datetime.now(UTC).replace(tzinfo=None) - workflow_run.exceptions_count = exceptions_count + execution.status = WorkflowExecutionStatus.PARTIAL_SUCCEEDED + execution.outputs = outputs or {} + execution.total_tokens = total_tokens + execution.total_steps = total_steps + execution.finished_at = datetime.now(UTC).replace(tzinfo=None) + execution.exceptions_count = exceptions_count if trace_manager: trace_manager.add_trace_task( TraceTask( TraceTaskName.WORKFLOW_TRACE, - workflow_run=workflow_run, + workflow_execution=execution, conversation_id=conversation_id, user_id=trace_manager.user_id, ) ) - return workflow_run + self._workflow_execution_repository.save(execution) + return execution - def _handle_workflow_run_failed( + def handle_workflow_run_failed( self, *, - session: Session, workflow_run_id: str, - start_at: float, total_tokens: int, total_steps: int, - status: WorkflowRunStatus, - error: str, + status: WorkflowExecutionStatus, + error_message: str, conversation_id: Optional[str] = None, trace_manager: Optional[TraceQueueManager] = None, exceptions_count: int = 0, - ) -> WorkflowRun: - """ - Workflow run failed - :param workflow_run_id: workflow run id - :param start_at: start time - :param total_tokens: total tokens - :param total_steps: total steps - :param status: status - :param error: error message - :return: - """ - workflow_run = self._get_workflow_run(session=session, workflow_run_id=workflow_run_id) + ) -> WorkflowExecution: + workflow_execution = self._get_workflow_execution_or_raise_error(workflow_run_id) - workflow_run.status = status.value - workflow_run.error = error - workflow_run.elapsed_time = time.perf_counter() - start_at - workflow_run.total_tokens = total_tokens - workflow_run.total_steps = total_steps - workflow_run.finished_at = datetime.now(UTC).replace(tzinfo=None) - workflow_run.exceptions_count = exceptions_count + workflow_execution.status = WorkflowExecutionStatus(status.value) + workflow_execution.error_message = error_message + workflow_execution.total_tokens = total_tokens + workflow_execution.total_steps = total_steps + workflow_execution.finished_at = datetime.now(UTC).replace(tzinfo=None) + workflow_execution.exceptions_count = exceptions_count # Use the instance repository to find running executions for a workflow run - running_domain_executions = self._workflow_node_execution_repository.get_running_executions( - workflow_run_id=workflow_run.id + running_node_executions = self._workflow_node_execution_repository.get_running_executions( + workflow_run_id=workflow_execution.id_ ) # Update the domain models now = datetime.now(UTC).replace(tzinfo=None) - for domain_execution in running_domain_executions: - if domain_execution.node_execution_id: + for node_execution in running_node_executions: + if node_execution.node_execution_id: # Update the domain model - domain_execution.status = NodeExecutionStatus.FAILED - domain_execution.error = error - domain_execution.finished_at = now - domain_execution.elapsed_time = (now - domain_execution.created_at).total_seconds() + node_execution.status = WorkflowNodeExecutionStatus.FAILED + node_execution.error = error_message + node_execution.finished_at = now + node_execution.elapsed_time = (now - node_execution.created_at).total_seconds() # Update the repository with the domain model - self._workflow_node_execution_repository.save(domain_execution) + self._workflow_node_execution_repository.save(node_execution) if trace_manager: trace_manager.add_trace_task( TraceTask( TraceTaskName.WORKFLOW_TRACE, - workflow_run=workflow_run, + workflow_execution=workflow_execution, conversation_id=conversation_id, user_id=trace_manager.user_id, ) ) - return workflow_run + self._workflow_execution_repository.save(workflow_execution) + return workflow_execution + + def handle_node_execution_start( + self, + *, + workflow_execution_id: str, + event: QueueNodeStartedEvent, + ) -> WorkflowNodeExecution: + workflow_execution = self._get_workflow_execution_or_raise_error(workflow_execution_id) - def _handle_node_execution_start(self, *, workflow_run: WorkflowRun, event: QueueNodeStartedEvent) -> NodeExecution: # Create a domain model created_at = datetime.now(UTC).replace(tzinfo=None) metadata = { - NodeRunMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id, - NodeRunMetadataKey.ITERATION_ID: event.in_iteration_id, - NodeRunMetadataKey.LOOP_ID: event.in_loop_id, + WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id, + WorkflowNodeExecutionMetadataKey.ITERATION_ID: event.in_iteration_id, + WorkflowNodeExecutionMetadataKey.LOOP_ID: event.in_loop_id, } - domain_execution = NodeExecution( + domain_execution = WorkflowNodeExecution( id=str(uuid4()), - workflow_id=workflow_run.workflow_id, - workflow_run_id=workflow_run.id, + workflow_id=workflow_execution.workflow_id, + workflow_execution_id=workflow_execution.id_, predecessor_node_id=event.predecessor_node_id, index=event.node_run_index, node_execution_id=event.node_execution_id, node_id=event.node_id, node_type=event.node_type, title=event.node_data.title, - status=NodeExecutionStatus.RUNNING, + status=WorkflowNodeExecutionStatus.RUNNING, metadata=metadata, created_at=created_at, ) @@ -317,7 +235,7 @@ class WorkflowCycleManager: return domain_execution - def _handle_workflow_node_execution_success(self, *, event: QueueNodeSucceededEvent) -> NodeExecution: + def handle_workflow_node_execution_success(self, *, event: QueueNodeSucceededEvent) -> WorkflowNodeExecution: # Get the domain model from repository domain_execution = self._workflow_node_execution_repository.get_by_node_execution_id(event.node_execution_id) if not domain_execution: @@ -338,7 +256,7 @@ class WorkflowCycleManager: elapsed_time = (finished_at - event.start_at).total_seconds() # Update domain model - domain_execution.status = NodeExecutionStatus.SUCCEEDED + domain_execution.status = WorkflowNodeExecutionStatus.SUCCEEDED domain_execution.update_from_mapping( inputs=inputs, process_data=process_data, outputs=outputs, metadata=execution_metadata_dict ) @@ -350,14 +268,14 @@ class WorkflowCycleManager: return domain_execution - def _handle_workflow_node_execution_failed( + def handle_workflow_node_execution_failed( self, *, event: QueueNodeFailedEvent | QueueNodeInIterationFailedEvent | QueueNodeInLoopFailedEvent | QueueNodeExceptionEvent, - ) -> NodeExecution: + ) -> WorkflowNodeExecution: """ Workflow node execution failed :param event: queue node failed event @@ -384,9 +302,9 @@ class WorkflowCycleManager: # Update domain model domain_execution.status = ( - NodeExecutionStatus.FAILED + WorkflowNodeExecutionStatus.FAILED if not isinstance(event, QueueNodeExceptionEvent) - else NodeExecutionStatus.EXCEPTION + else WorkflowNodeExecutionStatus.EXCEPTION ) domain_execution.error = event.error domain_execution.update_from_mapping( @@ -400,15 +318,10 @@ class WorkflowCycleManager: return domain_execution - def _handle_workflow_node_execution_retried( - self, *, workflow_run: WorkflowRun, event: QueueNodeRetryEvent - ) -> NodeExecution: - """ - Workflow node execution failed - :param workflow_run: workflow run - :param event: queue node failed event - :return: - """ + def handle_workflow_node_execution_retried( + self, *, workflow_execution_id: str, event: QueueNodeRetryEvent + ) -> WorkflowNodeExecution: + workflow_execution = self._get_workflow_execution_or_raise_error(workflow_execution_id) created_at = event.start_at finished_at = datetime.now(UTC).replace(tzinfo=None) elapsed_time = (finished_at - created_at).total_seconds() @@ -417,13 +330,13 @@ class WorkflowCycleManager: # Convert metadata keys to strings origin_metadata = { - NodeRunMetadataKey.ITERATION_ID: event.in_iteration_id, - NodeRunMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id, - NodeRunMetadataKey.LOOP_ID: event.in_loop_id, + WorkflowNodeExecutionMetadataKey.ITERATION_ID: event.in_iteration_id, + WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id, + WorkflowNodeExecutionMetadataKey.LOOP_ID: event.in_loop_id, } # Convert execution metadata keys to strings - execution_metadata_dict: dict[NodeRunMetadataKey, str | None] = {} + execution_metadata_dict: dict[WorkflowNodeExecutionMetadataKey, str | None] = {} if event.execution_metadata: for key, value in event.execution_metadata.items(): execution_metadata_dict[key] = value @@ -431,16 +344,16 @@ class WorkflowCycleManager: merged_metadata = {**execution_metadata_dict, **origin_metadata} if execution_metadata_dict else origin_metadata # Create a domain model - domain_execution = NodeExecution( + domain_execution = WorkflowNodeExecution( id=str(uuid4()), - workflow_id=workflow_run.workflow_id, - workflow_run_id=workflow_run.id, + workflow_id=workflow_execution.workflow_id, + workflow_execution_id=workflow_execution.id_, predecessor_node_id=event.predecessor_node_id, node_execution_id=event.node_execution_id, node_id=event.node_id, node_type=event.node_type, title=event.node_data.title, - status=NodeExecutionStatus.RETRY, + status=WorkflowNodeExecutionStatus.RETRY, created_at=created_at, finished_at=finished_at, elapsed_time=elapsed_time, @@ -456,491 +369,8 @@ class WorkflowCycleManager: return domain_execution - def _workflow_start_to_stream_response( - self, - *, - session: Session, - task_id: str, - workflow_run: WorkflowRun, - ) -> WorkflowStartStreamResponse: - _ = session - return WorkflowStartStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=WorkflowStartStreamResponse.Data( - id=workflow_run.id, - workflow_id=workflow_run.workflow_id, - sequence_number=workflow_run.sequence_number, - inputs=dict(workflow_run.inputs_dict or {}), - created_at=int(workflow_run.created_at.timestamp()), - ), - ) - - def _workflow_finish_to_stream_response( - self, - *, - session: Session, - task_id: str, - workflow_run: WorkflowRun, - ) -> WorkflowFinishStreamResponse: - created_by = None - if workflow_run.created_by_role == CreatorUserRole.ACCOUNT: - stmt = select(Account).where(Account.id == workflow_run.created_by) - account = session.scalar(stmt) - if account: - created_by = { - "id": account.id, - "name": account.name, - "email": account.email, - } - elif workflow_run.created_by_role == CreatorUserRole.END_USER: - stmt = select(EndUser).where(EndUser.id == workflow_run.created_by) - end_user = session.scalar(stmt) - if end_user: - created_by = { - "id": end_user.id, - "user": end_user.session_id, - } - else: - raise NotImplementedError(f"unknown created_by_role: {workflow_run.created_by_role}") - - return WorkflowFinishStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=WorkflowFinishStreamResponse.Data( - id=workflow_run.id, - workflow_id=workflow_run.workflow_id, - sequence_number=workflow_run.sequence_number, - status=workflow_run.status, - outputs=dict(workflow_run.outputs_dict) if workflow_run.outputs_dict else None, - error=workflow_run.error, - elapsed_time=workflow_run.elapsed_time, - total_tokens=workflow_run.total_tokens, - total_steps=workflow_run.total_steps, - created_by=created_by, - created_at=int(workflow_run.created_at.timestamp()), - finished_at=int(workflow_run.finished_at.timestamp()), - files=self._fetch_files_from_node_outputs(dict(workflow_run.outputs_dict)), - exceptions_count=workflow_run.exceptions_count, - ), - ) - - def _workflow_node_start_to_stream_response( - self, - *, - event: QueueNodeStartedEvent, - task_id: str, - workflow_node_execution: NodeExecution, - ) -> Optional[NodeStartStreamResponse]: - if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: - return None - if not workflow_node_execution.workflow_run_id: - return None - - response = NodeStartStreamResponse( - task_id=task_id, - workflow_run_id=workflow_node_execution.workflow_run_id, - data=NodeStartStreamResponse.Data( - id=workflow_node_execution.id, - node_id=workflow_node_execution.node_id, - node_type=workflow_node_execution.node_type, - title=workflow_node_execution.title, - index=workflow_node_execution.index, - predecessor_node_id=workflow_node_execution.predecessor_node_id, - inputs=workflow_node_execution.inputs, - created_at=int(workflow_node_execution.created_at.timestamp()), - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - parent_parallel_id=event.parent_parallel_id, - parent_parallel_start_node_id=event.parent_parallel_start_node_id, - iteration_id=event.in_iteration_id, - loop_id=event.in_loop_id, - parallel_run_id=event.parallel_mode_run_id, - agent_strategy=event.agent_strategy, - ), - ) - - # extras logic - if event.node_type == NodeType.TOOL: - node_data = cast(ToolNodeData, event.node_data) - response.data.extras["icon"] = ToolManager.get_tool_icon( - tenant_id=self._application_generate_entity.app_config.tenant_id, - provider_type=node_data.provider_type, - provider_id=node_data.provider_id, - ) - - return response - - def _workflow_node_finish_to_stream_response( - self, - *, - event: QueueNodeSucceededEvent - | QueueNodeFailedEvent - | QueueNodeInIterationFailedEvent - | QueueNodeInLoopFailedEvent - | QueueNodeExceptionEvent, - task_id: str, - workflow_node_execution: NodeExecution, - ) -> Optional[NodeFinishStreamResponse]: - if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: - return None - if not workflow_node_execution.workflow_run_id: - return None - if not workflow_node_execution.finished_at: - return None - - return NodeFinishStreamResponse( - task_id=task_id, - workflow_run_id=workflow_node_execution.workflow_run_id, - data=NodeFinishStreamResponse.Data( - id=workflow_node_execution.id, - node_id=workflow_node_execution.node_id, - node_type=workflow_node_execution.node_type, - index=workflow_node_execution.index, - title=workflow_node_execution.title, - predecessor_node_id=workflow_node_execution.predecessor_node_id, - inputs=workflow_node_execution.inputs, - process_data=workflow_node_execution.process_data, - outputs=workflow_node_execution.outputs, - status=workflow_node_execution.status, - error=workflow_node_execution.error, - elapsed_time=workflow_node_execution.elapsed_time, - execution_metadata=workflow_node_execution.metadata, - created_at=int(workflow_node_execution.created_at.timestamp()), - finished_at=int(workflow_node_execution.finished_at.timestamp()), - files=self._fetch_files_from_node_outputs(workflow_node_execution.outputs or {}), - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - parent_parallel_id=event.parent_parallel_id, - parent_parallel_start_node_id=event.parent_parallel_start_node_id, - iteration_id=event.in_iteration_id, - loop_id=event.in_loop_id, - ), - ) - - def _workflow_node_retry_to_stream_response( - self, - *, - event: QueueNodeRetryEvent, - task_id: str, - workflow_node_execution: NodeExecution, - ) -> Optional[Union[NodeRetryStreamResponse, NodeFinishStreamResponse]]: - if workflow_node_execution.node_type in {NodeType.ITERATION, NodeType.LOOP}: - return None - if not workflow_node_execution.workflow_run_id: - return None - if not workflow_node_execution.finished_at: - return None - - return NodeRetryStreamResponse( - task_id=task_id, - workflow_run_id=workflow_node_execution.workflow_run_id, - data=NodeRetryStreamResponse.Data( - id=workflow_node_execution.id, - node_id=workflow_node_execution.node_id, - node_type=workflow_node_execution.node_type, - index=workflow_node_execution.index, - title=workflow_node_execution.title, - predecessor_node_id=workflow_node_execution.predecessor_node_id, - inputs=workflow_node_execution.inputs, - process_data=workflow_node_execution.process_data, - outputs=workflow_node_execution.outputs, - status=workflow_node_execution.status, - error=workflow_node_execution.error, - elapsed_time=workflow_node_execution.elapsed_time, - execution_metadata=workflow_node_execution.metadata, - created_at=int(workflow_node_execution.created_at.timestamp()), - finished_at=int(workflow_node_execution.finished_at.timestamp()), - files=self._fetch_files_from_node_outputs(workflow_node_execution.outputs or {}), - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - parent_parallel_id=event.parent_parallel_id, - parent_parallel_start_node_id=event.parent_parallel_start_node_id, - iteration_id=event.in_iteration_id, - loop_id=event.in_loop_id, - retry_index=event.retry_index, - ), - ) - - def _workflow_parallel_branch_start_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueParallelBranchRunStartedEvent - ) -> ParallelBranchStartStreamResponse: - _ = session - return ParallelBranchStartStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=ParallelBranchStartStreamResponse.Data( - parallel_id=event.parallel_id, - parallel_branch_id=event.parallel_start_node_id, - parent_parallel_id=event.parent_parallel_id, - parent_parallel_start_node_id=event.parent_parallel_start_node_id, - iteration_id=event.in_iteration_id, - loop_id=event.in_loop_id, - created_at=int(time.time()), - ), - ) - - def _workflow_parallel_branch_finished_to_stream_response( - self, - *, - session: Session, - task_id: str, - workflow_run: WorkflowRun, - event: QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent, - ) -> ParallelBranchFinishedStreamResponse: - _ = session - return ParallelBranchFinishedStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=ParallelBranchFinishedStreamResponse.Data( - parallel_id=event.parallel_id, - parallel_branch_id=event.parallel_start_node_id, - parent_parallel_id=event.parent_parallel_id, - parent_parallel_start_node_id=event.parent_parallel_start_node_id, - iteration_id=event.in_iteration_id, - loop_id=event.in_loop_id, - status="succeeded" if isinstance(event, QueueParallelBranchRunSucceededEvent) else "failed", - error=event.error if isinstance(event, QueueParallelBranchRunFailedEvent) else None, - created_at=int(time.time()), - ), - ) - - def _workflow_iteration_start_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationStartEvent - ) -> IterationNodeStartStreamResponse: - _ = session - return IterationNodeStartStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=IterationNodeStartStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - created_at=int(time.time()), - extras={}, - inputs=event.inputs or {}, - metadata=event.metadata or {}, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - ), - ) - - def _workflow_iteration_next_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationNextEvent - ) -> IterationNodeNextStreamResponse: - _ = session - return IterationNodeNextStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=IterationNodeNextStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - index=event.index, - pre_iteration_output=event.output, - created_at=int(time.time()), - extras={}, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - parallel_mode_run_id=event.parallel_mode_run_id, - duration=event.duration, - ), - ) - - def _workflow_iteration_completed_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationCompletedEvent - ) -> IterationNodeCompletedStreamResponse: - _ = session - return IterationNodeCompletedStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=IterationNodeCompletedStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - outputs=event.outputs, - created_at=int(time.time()), - extras={}, - inputs=event.inputs or {}, - status=WorkflowNodeExecutionStatus.SUCCEEDED - if event.error is None - else WorkflowNodeExecutionStatus.FAILED, - error=None, - elapsed_time=(datetime.now(UTC).replace(tzinfo=None) - event.start_at).total_seconds(), - total_tokens=event.metadata.get("total_tokens", 0) if event.metadata else 0, - execution_metadata=event.metadata, - finished_at=int(time.time()), - steps=event.steps, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - ), - ) - - def _workflow_loop_start_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopStartEvent - ) -> LoopNodeStartStreamResponse: - _ = session - return LoopNodeStartStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=LoopNodeStartStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - created_at=int(time.time()), - extras={}, - inputs=event.inputs or {}, - metadata=event.metadata or {}, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - ), - ) - - def _workflow_loop_next_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopNextEvent - ) -> LoopNodeNextStreamResponse: - _ = session - return LoopNodeNextStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=LoopNodeNextStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - index=event.index, - pre_loop_output=event.output, - created_at=int(time.time()), - extras={}, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - parallel_mode_run_id=event.parallel_mode_run_id, - duration=event.duration, - ), - ) - - def _workflow_loop_completed_to_stream_response( - self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopCompletedEvent - ) -> LoopNodeCompletedStreamResponse: - _ = session - return LoopNodeCompletedStreamResponse( - task_id=task_id, - workflow_run_id=workflow_run.id, - data=LoopNodeCompletedStreamResponse.Data( - id=event.node_id, - node_id=event.node_id, - node_type=event.node_type.value, - title=event.node_data.title, - outputs=event.outputs, - created_at=int(time.time()), - extras={}, - inputs=event.inputs or {}, - status=WorkflowNodeExecutionStatus.SUCCEEDED - if event.error is None - else WorkflowNodeExecutionStatus.FAILED, - error=None, - elapsed_time=(datetime.now(UTC).replace(tzinfo=None) - event.start_at).total_seconds(), - total_tokens=event.metadata.get("total_tokens", 0) if event.metadata else 0, - execution_metadata=event.metadata, - finished_at=int(time.time()), - steps=event.steps, - parallel_id=event.parallel_id, - parallel_start_node_id=event.parallel_start_node_id, - ), - ) - - def _fetch_files_from_node_outputs(self, outputs_dict: Mapping[str, Any]) -> Sequence[Mapping[str, Any]]: - """ - Fetch files from node outputs - :param outputs_dict: node outputs dict - :return: - """ - if not outputs_dict: - return [] - - files = [self._fetch_files_from_variable_value(output_value) for output_value in outputs_dict.values()] - # Remove None - files = [file for file in files if file] - # Flatten list - # Flatten the list of sequences into a single list of mappings - flattened_files = [file for sublist in files if sublist for file in sublist] - - # Convert to tuple to match Sequence type - return tuple(flattened_files) - - def _fetch_files_from_variable_value(self, value: Union[dict, list]) -> Sequence[Mapping[str, Any]]: - """ - Fetch files from variable value - :param value: variable value - :return: - """ - if not value: - return [] - - files = [] - if isinstance(value, list): - for item in value: - file = self._get_file_var_from_value(item) - if file: - files.append(file) - elif isinstance(value, dict): - file = self._get_file_var_from_value(value) - if file: - files.append(file) - - return files - - def _get_file_var_from_value(self, value: Union[dict, list]) -> Mapping[str, Any] | None: - """ - Get file var from value - :param value: variable value - :return: - """ - if not value: - return None - - if isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY: - return value - elif isinstance(value, File): - return value.to_dict() - - return None - - def _get_workflow_run(self, *, session: Session, workflow_run_id: str) -> WorkflowRun: - if self._workflow_run and self._workflow_run.id == workflow_run_id: - cached_workflow_run = self._workflow_run - cached_workflow_run = session.merge(cached_workflow_run) - return cached_workflow_run - stmt = select(WorkflowRun).where(WorkflowRun.id == workflow_run_id) - workflow_run = session.scalar(stmt) - if not workflow_run: - raise WorkflowRunNotFoundError(workflow_run_id) - self._workflow_run = workflow_run - - return workflow_run - - def _handle_agent_log(self, task_id: str, event: QueueAgentLogEvent) -> AgentLogStreamResponse: - """ - Handle agent log - :param task_id: task id - :param event: agent log event - :return: - """ - return AgentLogStreamResponse( - task_id=task_id, - data=AgentLogStreamResponse.Data( - node_execution_id=event.node_execution_id, - id=event.id, - parent_id=event.parent_id, - label=event.label, - error=event.error, - status=event.status, - data=event.data, - metadata=event.metadata, - node_id=event.node_id, - ), - ) + def _get_workflow_execution_or_raise_error(self, id: str, /) -> WorkflowExecution: + execution = self._workflow_execution_repository.get(id) + if not execution: + raise WorkflowRunNotFoundError(id) + return execution diff --git a/api/extensions/ext_celery.py b/api/extensions/ext_celery.py index 26bd6b3577..a837552007 100644 --- a/api/extensions/ext_celery.py +++ b/api/extensions/ext_celery.py @@ -70,6 +70,7 @@ def init_app(app: DifyApp) -> Celery: "schedule.update_tidb_serverless_status_task", "schedule.clean_messages", "schedule.mail_clean_document_notify_task", + "schedule.queue_monitor_task", ] day = dify_config.CELERY_BEAT_SCHEDULER_TIME beat_schedule = { @@ -98,6 +99,12 @@ def init_app(app: DifyApp) -> Celery: "task": "schedule.mail_clean_document_notify_task.mail_clean_document_notify_task", "schedule": crontab(minute="0", hour="10", day_of_week="1"), }, + "datasets-queue-monitor": { + "task": "schedule.queue_monitor_task.queue_monitor_task", + "schedule": timedelta( + minutes=dify_config.QUEUE_MONITOR_INTERVAL if dify_config.QUEUE_MONITOR_INTERVAL else 30 + ), + }, } celery_app.conf.update(beat_schedule=beat_schedule, imports=imports) diff --git a/api/extensions/ext_login.py b/api/extensions/ext_login.py index 10fb89eb73..06f42494ec 100644 --- a/api/extensions/ext_login.py +++ b/api/extensions/ext_login.py @@ -3,11 +3,14 @@ import json import flask_login # type: ignore from flask import Response, request from flask_login import user_loaded_from_request, user_logged_in -from werkzeug.exceptions import Unauthorized +from werkzeug.exceptions import NotFound, Unauthorized -import contexts +from configs import dify_config from dify_app import DifyApp +from extensions.ext_database import db from libs.passport import PassportService +from models.account import Account, Tenant, TenantAccountJoin +from models.model import EndUser from services.account_service import AccountService login_manager = flask_login.LoginManager() @@ -17,35 +20,69 @@ login_manager = flask_login.LoginManager() @login_manager.request_loader def load_user_from_request(request_from_flask_login): """Load user based on the request.""" - if request.blueprint not in {"console", "inner_api"}: - return None - # Check if the user_id contains a dot, indicating the old format auth_header = request.headers.get("Authorization", "") - if not auth_header: - auth_token = request.args.get("_token") - if not auth_token: - raise Unauthorized("Invalid Authorization token.") - else: + auth_token: str | None = None + if auth_header: if " " not in auth_header: raise Unauthorized("Invalid Authorization header format. Expected 'Bearer ' format.") - auth_scheme, auth_token = auth_header.split(None, 1) + auth_scheme, auth_token = auth_header.split(maxsplit=1) auth_scheme = auth_scheme.lower() if auth_scheme != "bearer": raise Unauthorized("Invalid Authorization header format. Expected 'Bearer ' format.") + else: + auth_token = request.args.get("_token") - decoded = PassportService().verify(auth_token) - user_id = decoded.get("user_id") + # Check for admin API key authentication first + if dify_config.ADMIN_API_KEY_ENABLE and auth_header: + admin_api_key = dify_config.ADMIN_API_KEY + if admin_api_key and admin_api_key == auth_token: + workspace_id = request.headers.get("X-WORKSPACE-ID") + if workspace_id: + tenant_account_join = ( + db.session.query(Tenant, TenantAccountJoin) + .filter(Tenant.id == workspace_id) + .filter(TenantAccountJoin.tenant_id == Tenant.id) + .filter(TenantAccountJoin.role == "owner") + .one_or_none() + ) + if tenant_account_join: + tenant, ta = tenant_account_join + account = db.session.query(Account).filter_by(id=ta.account_id).first() + if account: + account.current_tenant = tenant + return account - logged_in_account = AccountService.load_logged_in_account(account_id=user_id) - return logged_in_account + if request.blueprint in {"console", "inner_api"}: + if not auth_token: + raise Unauthorized("Invalid Authorization token.") + decoded = PassportService().verify(auth_token) + user_id = decoded.get("user_id") + if not user_id: + raise Unauthorized("Invalid Authorization token.") + + logged_in_account = AccountService.load_logged_in_account(account_id=user_id) + return logged_in_account + elif request.blueprint == "web": + decoded = PassportService().verify(auth_token) + end_user_id = decoded.get("end_user_id") + if not end_user_id: + raise Unauthorized("Invalid Authorization token.") + end_user = db.session.query(EndUser).filter(EndUser.id == decoded["end_user_id"]).first() + if not end_user: + raise NotFound("End user not found.") + return end_user @user_logged_in.connect @user_loaded_from_request.connect def on_user_logged_in(_sender, user): - """Called when a user logged in.""" - if user: - contexts.tenant_id.set(user.current_tenant_id) + """Called when a user logged in. + + Note: AccountService.load_logged_in_account will populate user.current_tenant_id + through the load_user method, which calls account.set_tenant_id(). + """ + # tenant_id context variable removed - using current_user.current_tenant_id directly + pass @login_manager.unauthorized_handler diff --git a/api/extensions/ext_otel.py b/api/extensions/ext_otel.py index 59982d96ad..6dcfa7bec6 100644 --- a/api/extensions/ext_otel.py +++ b/api/extensions/ext_otel.py @@ -12,19 +12,30 @@ from flask_login import user_loaded_from_request, user_logged_in # type: ignore from configs import dify_config from dify_app import DifyApp +from models import Account, EndUser @user_logged_in.connect @user_loaded_from_request.connect -def on_user_loaded(_sender, user): +def on_user_loaded(_sender, user: Union["Account", "EndUser"]): if dify_config.ENABLE_OTEL: from opentelemetry.trace import get_current_span if user: - current_span = get_current_span() - if current_span: - current_span.set_attribute("service.tenant.id", user.current_tenant_id) - current_span.set_attribute("service.user.id", user.id) + try: + current_span = get_current_span() + if isinstance(user, Account) and user.current_tenant_id: + tenant_id = user.current_tenant_id + elif isinstance(user, EndUser): + tenant_id = user.tenant_id + else: + return + if current_span: + current_span.set_attribute("service.tenant.id", tenant_id) + current_span.set_attribute("service.user.id", user.id) + except Exception: + logging.exception("Error setting tenant and user attributes") + pass def init_app(app: DifyApp): @@ -47,21 +58,25 @@ def init_app(app: DifyApp): def response_hook(span: Span, status: str, response_headers: list): if span and span.is_recording(): - if status.startswith("2"): - span.set_status(StatusCode.OK) - else: - span.set_status(StatusCode.ERROR, status) - - status = status.split(" ")[0] - status_code = int(status) - status_class = f"{status_code // 100}xx" - attributes: dict[str, str | int] = {"status_code": status_code, "status_class": status_class} - request = flask.request - if request and request.url_rule: - attributes[SpanAttributes.HTTP_TARGET] = str(request.url_rule.rule) - if request and request.method: - attributes[SpanAttributes.HTTP_METHOD] = str(request.method) - _http_response_counter.add(1, attributes) + try: + if status.startswith("2"): + span.set_status(StatusCode.OK) + else: + span.set_status(StatusCode.ERROR, status) + + status = status.split(" ")[0] + status_code = int(status) + status_class = f"{status_code // 100}xx" + attributes: dict[str, str | int] = {"status_code": status_code, "status_class": status_class} + request = flask.request + if request and request.url_rule: + attributes[SpanAttributes.HTTP_TARGET] = str(request.url_rule.rule) + if request and request.method: + attributes[SpanAttributes.HTTP_METHOD] = str(request.method) + _http_response_counter.add(1, attributes) + except Exception: + logging.exception("Error setting status and attributes") + pass instrumentor = FlaskInstrumentor() if dify_config.DEBUG: @@ -92,7 +107,7 @@ def init_app(app: DifyApp): class ExceptionLoggingHandler(logging.Handler): """Custom logging handler that creates spans for logging.exception() calls""" - def emit(self, record): + def emit(self, record: logging.LogRecord): try: if record.exc_info: tracer = get_tracer_provider().get_tracer("dify.exception.logging") @@ -107,9 +122,12 @@ def init_app(app: DifyApp): }, ) as span: span.set_status(StatusCode.ERROR) - span.record_exception(record.exc_info[1]) - span.set_attribute("exception.type", record.exc_info[0].__name__) - span.set_attribute("exception.message", str(record.exc_info[1])) + if record.exc_info[1]: + span.record_exception(record.exc_info[1]) + span.set_attribute("exception.message", str(record.exc_info[1])) + if record.exc_info[0]: + span.set_attribute("exception.type", record.exc_info[0].__name__) + except Exception: pass diff --git a/api/factories/variable_factory.py b/api/factories/variable_factory.py index bbca8448ec..fa8a90e79f 100644 --- a/api/factories/variable_factory.py +++ b/api/factories/variable_factory.py @@ -84,8 +84,8 @@ def _build_variable_from_mapping(*, mapping: Mapping[str, Any], selector: Sequen raise VariableError("missing value type") if (value := mapping.get("value")) is None: raise VariableError("missing value") - # FIXME: using Any here, fix it later - result: Any + + result: Variable match value_type: case SegmentType.STRING: result = StringVariable.model_validate(mapping) diff --git a/api/fields/app_fields.py b/api/fields/app_fields.py index 416870cafa..500ca47c7e 100644 --- a/api/fields/app_fields.py +++ b/api/fields/app_fields.py @@ -100,6 +100,8 @@ app_partial_fields = { "updated_at": TimestampField, "tags": fields.List(fields.Nested(tag_fields)), "access_mode": fields.String, + "create_user_name": fields.String, + "author_name": fields.String, } diff --git a/api/libs/helper.py b/api/libs/helper.py index afc8f31681..463ba3308b 100644 --- a/api/libs/helper.py +++ b/api/libs/helper.py @@ -18,6 +18,7 @@ from flask_restful import fields from configs import dify_config from core.app.features.rate_limiting.rate_limit import RateLimitGenerator from core.file import helpers as file_helpers +from core.model_runtime.utils.encoders import jsonable_encoder from extensions.ext_redis import redis_client if TYPE_CHECKING: @@ -196,7 +197,7 @@ def generate_text_hash(text: str) -> str: def compact_generate_response(response: Union[Mapping, Generator, RateLimitGenerator]) -> Response: if isinstance(response, dict): - return Response(response=json.dumps(response), status=200, mimetype="application/json") + return Response(response=json.dumps(jsonable_encoder(response)), status=200, mimetype="application/json") else: def generate() -> Generator: diff --git a/api/libs/login.py b/api/libs/login.py index be9478e850..e3a7fe2948 100644 --- a/api/libs/login.py +++ b/api/libs/login.py @@ -2,14 +2,11 @@ from functools import wraps from typing import Any from flask import current_app, g, has_request_context, request -from flask_login import user_logged_in # type: ignore from flask_login.config import EXEMPT_METHODS # type: ignore -from werkzeug.exceptions import Unauthorized from werkzeug.local import LocalProxy from configs import dify_config -from extensions.ext_database import db -from models.account import Account, Tenant, TenantAccountJoin +from models.account import Account from models.model import EndUser #: A proxy for the current user. If no user is logged in, this will be an @@ -53,36 +50,6 @@ def login_required(func): @wraps(func) def decorated_view(*args, **kwargs): - auth_header = request.headers.get("Authorization") - if dify_config.ADMIN_API_KEY_ENABLE: - if auth_header: - if " " not in auth_header: - raise Unauthorized("Invalid Authorization header format. Expected 'Bearer ' format.") - auth_scheme, auth_token = auth_header.split(None, 1) - auth_scheme = auth_scheme.lower() - if auth_scheme != "bearer": - raise Unauthorized("Invalid Authorization header format. Expected 'Bearer ' format.") - - admin_api_key = dify_config.ADMIN_API_KEY - if admin_api_key: - if admin_api_key == auth_token: - workspace_id = request.headers.get("X-WORKSPACE-ID") - if workspace_id: - tenant_account_join = ( - db.session.query(Tenant, TenantAccountJoin) - .filter(Tenant.id == workspace_id) - .filter(TenantAccountJoin.tenant_id == Tenant.id) - .filter(TenantAccountJoin.role == "owner") - .one_or_none() - ) - if tenant_account_join: - tenant, ta = tenant_account_join - account = db.session.query(Account).filter_by(id=ta.account_id).first() - # Login admin - if account: - account.current_tenant = tenant - current_app.login_manager._update_request_context_with_user(account) # type: ignore - user_logged_in.send(current_app._get_current_object(), user=_get_user()) # type: ignore if request.method in EXEMPT_METHODS or dify_config.LOGIN_DISABLED: pass elif not current_user.is_authenticated: diff --git a/api/libs/smtp.py b/api/libs/smtp.py index 2325d69a41..35561f071c 100644 --- a/api/libs/smtp.py +++ b/api/libs/smtp.py @@ -28,7 +28,8 @@ class SMTPClient: else: smtp = smtplib.SMTP(self.server, self.port, timeout=10) - if self.username and self.password: + # Only authenticate if both username and password are non-empty + if self.username and self.password and self.username.strip() and self.password.strip(): smtp.login(self.username, self.password) msg = MIMEMultipart() diff --git a/api/models/__init__.py b/api/models/__init__.py index f652449e98..83b50eb099 100644 --- a/api/models/__init__.py +++ b/api/models/__init__.py @@ -84,11 +84,9 @@ from .workflow import ( Workflow, WorkflowAppLog, WorkflowAppLogCreatedFrom, - WorkflowNodeExecution, - WorkflowNodeExecutionStatus, + WorkflowNodeExecutionModel, WorkflowNodeExecutionTriggeredFrom, WorkflowRun, - WorkflowRunStatus, WorkflowType, ) @@ -100,14 +98,14 @@ __all__ = [ "AccountStatus", "ApiRequest", "ApiToken", - "ApiToolProvider", # Added + "ApiToolProvider", "App", "AppAnnotationHitHistory", "AppAnnotationSetting", "AppDatasetJoin", "AppMode", "AppModelConfig", - "BuiltinToolProvider", # Added + "BuiltinToolProvider", "CeleryTask", "CeleryTaskSet", "Conversation", @@ -171,11 +169,9 @@ __all__ = [ "Workflow", "WorkflowAppLog", "WorkflowAppLogCreatedFrom", - "WorkflowNodeExecution", - "WorkflowNodeExecutionStatus", + "WorkflowNodeExecutionModel", "WorkflowNodeExecutionTriggeredFrom", "WorkflowRun", - "WorkflowRunStatus", "WorkflowRunTriggeredFrom", "WorkflowToolProvider", "WorkflowType", diff --git a/api/models/account.py b/api/models/account.py index bb6a2a4735..7ffeefa980 100644 --- a/api/models/account.py +++ b/api/models/account.py @@ -1,10 +1,10 @@ import enum import json -from typing import cast +from typing import Optional, cast from flask_login import UserMixin # type: ignore from sqlalchemy import func -from sqlalchemy.orm import Mapped, mapped_column +from sqlalchemy.orm import Mapped, mapped_column, reconstructor from models.base import Base @@ -12,6 +12,66 @@ from .engine import db from .types import StringUUID +class TenantAccountRole(enum.StrEnum): + OWNER = "owner" + ADMIN = "admin" + EDITOR = "editor" + NORMAL = "normal" + DATASET_OPERATOR = "dataset_operator" + + @staticmethod + def is_valid_role(role: str) -> bool: + if not role: + return False + return role in { + TenantAccountRole.OWNER, + TenantAccountRole.ADMIN, + TenantAccountRole.EDITOR, + TenantAccountRole.NORMAL, + TenantAccountRole.DATASET_OPERATOR, + } + + @staticmethod + def is_privileged_role(role: Optional["TenantAccountRole"]) -> bool: + if not role: + return False + return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN} + + @staticmethod + def is_admin_role(role: Optional["TenantAccountRole"]) -> bool: + if not role: + return False + return role == TenantAccountRole.ADMIN + + @staticmethod + def is_non_owner_role(role: Optional["TenantAccountRole"]) -> bool: + if not role: + return False + return role in { + TenantAccountRole.ADMIN, + TenantAccountRole.EDITOR, + TenantAccountRole.NORMAL, + TenantAccountRole.DATASET_OPERATOR, + } + + @staticmethod + def is_editing_role(role: Optional["TenantAccountRole"]) -> bool: + if not role: + return False + return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN, TenantAccountRole.EDITOR} + + @staticmethod + def is_dataset_edit_role(role: Optional["TenantAccountRole"]) -> bool: + if not role: + return False + return role in { + TenantAccountRole.OWNER, + TenantAccountRole.ADMIN, + TenantAccountRole.EDITOR, + TenantAccountRole.DATASET_OPERATOR, + } + + class AccountStatus(enum.StrEnum): PENDING = "pending" UNINITIALIZED = "uninitialized" @@ -41,24 +101,27 @@ class Account(UserMixin, Base): created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + @reconstructor + def init_on_load(self): + self.role: Optional[TenantAccountRole] = None + self._current_tenant: Optional[Tenant] = None + @property def is_password_set(self): return self.password is not None @property def current_tenant(self): - return self._current_tenant # type: ignore + return self._current_tenant @current_tenant.setter - def current_tenant(self, value: "Tenant"): - tenant = value + def current_tenant(self, tenant: "Tenant"): ta = db.session.query(TenantAccountJoin).filter_by(tenant_id=tenant.id, account_id=self.id).first() if ta: - tenant.current_role = ta.role - else: - tenant = None # type: ignore - - self._current_tenant = tenant + self.role = TenantAccountRole(ta.role) + self._current_tenant = tenant + return + self._current_tenant = None @property def current_tenant_id(self) -> str | None: @@ -80,12 +143,12 @@ class Account(UserMixin, Base): return tenant, join = tenant_account_join - tenant.current_role = join.role + self.role = join.role self._current_tenant = tenant @property def current_role(self): - return self._current_tenant.current_role + return self.role def get_status(self) -> AccountStatus: status_str = self.status @@ -105,23 +168,23 @@ class Account(UserMixin, Base): # check current_user.current_tenant.current_role in ['admin', 'owner'] @property def is_admin_or_owner(self): - return TenantAccountRole.is_privileged_role(self._current_tenant.current_role) + return TenantAccountRole.is_privileged_role(self.role) @property def is_admin(self): - return TenantAccountRole.is_admin_role(self._current_tenant.current_role) + return TenantAccountRole.is_admin_role(self.role) @property def is_editor(self): - return TenantAccountRole.is_editing_role(self._current_tenant.current_role) + return TenantAccountRole.is_editing_role(self.role) @property def is_dataset_editor(self): - return TenantAccountRole.is_dataset_edit_role(self._current_tenant.current_role) + return TenantAccountRole.is_dataset_edit_role(self.role) @property def is_dataset_operator(self): - return self._current_tenant.current_role == TenantAccountRole.DATASET_OPERATOR + return self.role == TenantAccountRole.DATASET_OPERATOR class TenantStatus(enum.StrEnum): @@ -129,66 +192,6 @@ class TenantStatus(enum.StrEnum): ARCHIVE = "archive" -class TenantAccountRole(enum.StrEnum): - OWNER = "owner" - ADMIN = "admin" - EDITOR = "editor" - NORMAL = "normal" - DATASET_OPERATOR = "dataset_operator" - - @staticmethod - def is_valid_role(role: str) -> bool: - if not role: - return False - return role in { - TenantAccountRole.OWNER, - TenantAccountRole.ADMIN, - TenantAccountRole.EDITOR, - TenantAccountRole.NORMAL, - TenantAccountRole.DATASET_OPERATOR, - } - - @staticmethod - def is_privileged_role(role: str) -> bool: - if not role: - return False - return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN} - - @staticmethod - def is_admin_role(role: str) -> bool: - if not role: - return False - return role == TenantAccountRole.ADMIN - - @staticmethod - def is_non_owner_role(role: str) -> bool: - if not role: - return False - return role in { - TenantAccountRole.ADMIN, - TenantAccountRole.EDITOR, - TenantAccountRole.NORMAL, - TenantAccountRole.DATASET_OPERATOR, - } - - @staticmethod - def is_editing_role(role: str) -> bool: - if not role: - return False - return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN, TenantAccountRole.EDITOR} - - @staticmethod - def is_dataset_edit_role(role: str) -> bool: - if not role: - return False - return role in { - TenantAccountRole.OWNER, - TenantAccountRole.ADMIN, - TenantAccountRole.EDITOR, - TenantAccountRole.DATASET_OPERATOR, - } - - class Tenant(Base): __tablename__ = "tenants" __table_args__ = (db.PrimaryKeyConstraint("id", name="tenant_pkey"),) diff --git a/api/models/base.py b/api/models/base.py index da9509301a..bd120f5487 100644 --- a/api/models/base.py +++ b/api/models/base.py @@ -1,5 +1,7 @@ -from sqlalchemy.orm import declarative_base +from sqlalchemy.orm import DeclarativeBase from models.engine import metadata -Base = declarative_base(metadata=metadata) + +class Base(DeclarativeBase): + metadata = metadata diff --git a/api/models/model.py b/api/models/model.py index ee79fbd6b5..229e77134e 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -9,6 +9,7 @@ from typing import TYPE_CHECKING, Any, Literal, Optional, cast from core.plugin.entities.plugin import GenericProviderID from core.tools.entities.tool_entities import ToolProviderType from core.tools.signature import sign_tool_file +from core.workflow.entities.workflow_execution import WorkflowExecutionStatus from services.plugin.plugin_service import PluginService if TYPE_CHECKING: @@ -31,7 +32,6 @@ from .base import Base from .engine import db from .enums import CreatorUserRole from .types import StringUUID -from .workflow import WorkflowRunStatus if TYPE_CHECKING: from .workflow import Workflow @@ -294,6 +294,15 @@ class App(Base): return tags or [] + @property + def author_name(self): + if self.created_by: + account = db.session.query(Account).filter(Account.id == self.created_by).first() + if account: + return account.name + + return None + class AppModelConfig(Base): __tablename__ = "app_model_configs" @@ -785,22 +794,22 @@ class Conversation(Base): def status_count(self): messages = db.session.query(Message).filter(Message.conversation_id == self.id).all() status_counts = { - WorkflowRunStatus.RUNNING: 0, - WorkflowRunStatus.SUCCEEDED: 0, - WorkflowRunStatus.FAILED: 0, - WorkflowRunStatus.STOPPED: 0, - WorkflowRunStatus.PARTIAL_SUCCEEDED: 0, + WorkflowExecutionStatus.RUNNING: 0, + WorkflowExecutionStatus.SUCCEEDED: 0, + WorkflowExecutionStatus.FAILED: 0, + WorkflowExecutionStatus.STOPPED: 0, + WorkflowExecutionStatus.PARTIAL_SUCCEEDED: 0, } for message in messages: if message.workflow_run: - status_counts[WorkflowRunStatus(message.workflow_run.status)] += 1 + status_counts[WorkflowExecutionStatus(message.workflow_run.status)] += 1 return ( { - "success": status_counts[WorkflowRunStatus.SUCCEEDED], - "failed": status_counts[WorkflowRunStatus.FAILED], - "partial_success": status_counts[WorkflowRunStatus.PARTIAL_SUCCEEDED], + "success": status_counts[WorkflowExecutionStatus.SUCCEEDED], + "failed": status_counts[WorkflowExecutionStatus.FAILED], + "partial_success": status_counts[WorkflowExecutionStatus.PARTIAL_SUCCEEDED], } if messages else None diff --git a/api/models/provider.py b/api/models/provider.py index 497cbefc61..1e25f0c90f 100644 --- a/api/models/provider.py +++ b/api/models/provider.py @@ -1,6 +1,9 @@ +from datetime import datetime from enum import Enum +from typing import Optional -from sqlalchemy import func +from sqlalchemy import func, text +from sqlalchemy.orm import Mapped, mapped_column from .base import Base from .engine import db @@ -51,20 +54,24 @@ class Provider(Base): ), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - provider_type = db.Column(db.String(40), nullable=False, server_default=db.text("'custom'::character varying")) - encrypted_config = db.Column(db.Text, nullable=True) - is_valid = db.Column(db.Boolean, nullable=False, server_default=db.text("false")) - last_used = db.Column(db.DateTime, nullable=True) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + provider_type: Mapped[str] = mapped_column( + db.String(40), nullable=False, server_default=text("'custom'::character varying") + ) + encrypted_config: Mapped[Optional[str]] = mapped_column(db.Text, nullable=True) + is_valid: Mapped[bool] = mapped_column(db.Boolean, nullable=False, server_default=text("false")) + last_used: Mapped[Optional[datetime]] = mapped_column(db.DateTime, nullable=True) - quota_type = db.Column(db.String(40), nullable=True, server_default=db.text("''::character varying")) - quota_limit = db.Column(db.BigInteger, nullable=True) - quota_used = db.Column(db.BigInteger, default=0) + quota_type: Mapped[Optional[str]] = mapped_column( + db.String(40), nullable=True, server_default=text("''::character varying") + ) + quota_limit: Mapped[Optional[int]] = mapped_column(db.BigInteger, nullable=True) + quota_used: Mapped[Optional[int]] = mapped_column(db.BigInteger, default=0) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) def __repr__(self): return ( @@ -104,15 +111,15 @@ class ProviderModel(Base): ), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - model_name = db.Column(db.String(255), nullable=False) - model_type = db.Column(db.String(40), nullable=False) - encrypted_config = db.Column(db.Text, nullable=True) - is_valid = db.Column(db.Boolean, nullable=False, server_default=db.text("false")) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_type: Mapped[str] = mapped_column(db.String(40), nullable=False) + encrypted_config: Mapped[Optional[str]] = mapped_column(db.Text, nullable=True) + is_valid: Mapped[bool] = mapped_column(db.Boolean, nullable=False, server_default=text("false")) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) class TenantDefaultModel(Base): @@ -122,13 +129,13 @@ class TenantDefaultModel(Base): db.Index("tenant_default_model_tenant_id_provider_type_idx", "tenant_id", "provider_name", "model_type"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - model_name = db.Column(db.String(255), nullable=False) - model_type = db.Column(db.String(40), nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_type: Mapped[str] = mapped_column(db.String(40), nullable=False) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) class TenantPreferredModelProvider(Base): @@ -138,12 +145,12 @@ class TenantPreferredModelProvider(Base): db.Index("tenant_preferred_model_provider_tenant_provider_idx", "tenant_id", "provider_name"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - preferred_provider_type = db.Column(db.String(40), nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + preferred_provider_type: Mapped[str] = mapped_column(db.String(40), nullable=False) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) class ProviderOrder(Base): @@ -153,22 +160,24 @@ class ProviderOrder(Base): db.Index("provider_order_tenant_provider_idx", "tenant_id", "provider_name"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - account_id = db.Column(StringUUID, nullable=False) - payment_product_id = db.Column(db.String(191), nullable=False) - payment_id = db.Column(db.String(191)) - transaction_id = db.Column(db.String(191)) - quantity = db.Column(db.Integer, nullable=False, server_default=db.text("1")) - currency = db.Column(db.String(40)) - total_amount = db.Column(db.Integer) - payment_status = db.Column(db.String(40), nullable=False, server_default=db.text("'wait_pay'::character varying")) - paid_at = db.Column(db.DateTime) - pay_failed_at = db.Column(db.DateTime) - refunded_at = db.Column(db.DateTime) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + account_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + payment_product_id: Mapped[str] = mapped_column(db.String(191), nullable=False) + payment_id: Mapped[Optional[str]] = mapped_column(db.String(191)) + transaction_id: Mapped[Optional[str]] = mapped_column(db.String(191)) + quantity: Mapped[int] = mapped_column(db.Integer, nullable=False, server_default=text("1")) + currency: Mapped[Optional[str]] = mapped_column(db.String(40)) + total_amount: Mapped[Optional[int]] = mapped_column(db.Integer) + payment_status: Mapped[str] = mapped_column( + db.String(40), nullable=False, server_default=text("'wait_pay'::character varying") + ) + paid_at: Mapped[Optional[datetime]] = mapped_column(db.DateTime) + pay_failed_at: Mapped[Optional[datetime]] = mapped_column(db.DateTime) + refunded_at: Mapped[Optional[datetime]] = mapped_column(db.DateTime) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) class ProviderModelSetting(Base): @@ -182,15 +191,15 @@ class ProviderModelSetting(Base): db.Index("provider_model_setting_tenant_provider_model_idx", "tenant_id", "provider_name", "model_type"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - model_name = db.Column(db.String(255), nullable=False) - model_type = db.Column(db.String(40), nullable=False) - enabled = db.Column(db.Boolean, nullable=False, server_default=db.text("true")) - load_balancing_enabled = db.Column(db.Boolean, nullable=False, server_default=db.text("false")) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_type: Mapped[str] = mapped_column(db.String(40), nullable=False) + enabled: Mapped[bool] = mapped_column(db.Boolean, nullable=False, server_default=text("true")) + load_balancing_enabled: Mapped[bool] = mapped_column(db.Boolean, nullable=False, server_default=text("false")) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) class LoadBalancingModelConfig(Base): @@ -204,13 +213,13 @@ class LoadBalancingModelConfig(Base): db.Index("load_balancing_model_config_tenant_provider_model_idx", "tenant_id", "provider_name", "model_type"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - tenant_id = db.Column(StringUUID, nullable=False) - provider_name = db.Column(db.String(255), nullable=False) - model_name = db.Column(db.String(255), nullable=False) - model_type = db.Column(db.String(40), nullable=False) - name = db.Column(db.String(255), nullable=False) - encrypted_config = db.Column(db.Text, nullable=True) - enabled = db.Column(db.Boolean, nullable=False, server_default=db.text("true")) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + id: Mapped[str] = mapped_column(StringUUID, server_default=text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + provider_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_name: Mapped[str] = mapped_column(db.String(255), nullable=False) + model_type: Mapped[str] = mapped_column(db.String(40), nullable=False) + name: Mapped[str] = mapped_column(db.String(255), nullable=False) + encrypted_config: Mapped[Optional[str]] = mapped_column(db.Text, nullable=True) + enabled: Mapped[bool] = mapped_column(db.Boolean, nullable=False, server_default=text("true")) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) diff --git a/api/models/tools.py b/api/models/tools.py index e027475e38..03fbc3acb1 100644 --- a/api/models/tools.py +++ b/api/models/tools.py @@ -172,10 +172,6 @@ class WorkflowToolProvider(Base): db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)") ) - @property - def schema_type(self) -> ApiProviderSchemaType: - return ApiProviderSchemaType.value_of(self.schema_type_str) - @property def user(self) -> Account | None: return db.session.query(Account).filter(Account.id == self.user_id).first() diff --git a/api/models/workflow.py b/api/models/workflow.py index 91be1cda6e..e868fb77a7 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -3,9 +3,11 @@ import logging from collections.abc import Mapping, Sequence from datetime import UTC, datetime from enum import Enum, StrEnum -from typing import TYPE_CHECKING, Any, Optional, Self, Union +from typing import TYPE_CHECKING, Any, Optional, Union from uuid import uuid4 +from flask_login import current_user + from core.variables import utils as variable_utils from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID from factories.variable_factory import build_segment @@ -17,7 +19,6 @@ import sqlalchemy as sa from sqlalchemy import UniqueConstraint, func from sqlalchemy.orm import Mapped, mapped_column -import contexts from constants import DEFAULT_FILE_NUMBER_LIMITS, HIDDEN_VALUE from core.helper import encrypter from core.variables import SecretVariable, Segment, SegmentType, Variable @@ -150,7 +151,7 @@ class Workflow(Base): conversation_variables: Sequence[Variable], marked_name: str = "", marked_comment: str = "", - ) -> Self: + ) -> "Workflow": workflow = Workflow() workflow.id = str(uuid4()) workflow.tenant_id = tenant_id @@ -199,7 +200,9 @@ class Workflow(Base): features["file_upload"]["number_limits"] = image_number_limits features["file_upload"]["allowed_file_upload_methods"] = image_transfer_methods features["file_upload"]["allowed_file_types"] = features["file_upload"].get("allowed_file_types", ["image"]) - features["file_upload"]["allowed_file_extensions"] = [] + features["file_upload"]["allowed_file_extensions"] = features["file_upload"].get( + "allowed_file_extensions", [] + ) del features["file_upload"]["image"] self._features = json.dumps(features) return self._features @@ -272,7 +275,16 @@ class Workflow(Base): if self._environment_variables is None: self._environment_variables = "{}" - tenant_id = contexts.tenant_id.get() + # Get tenant_id from current_user (Account or EndUser) + if isinstance(current_user, Account): + # Account user + tenant_id = current_user.current_tenant_id + else: + # EndUser + tenant_id = current_user.tenant_id + + if not tenant_id: + return [] environment_variables_dict: dict[str, Any] = json.loads(self._environment_variables) results = [ @@ -295,7 +307,17 @@ class Workflow(Base): self._environment_variables = "{}" return - tenant_id = contexts.tenant_id.get() + # Get tenant_id from current_user (Account or EndUser) + if isinstance(current_user, Account): + # Account user + tenant_id = current_user.current_tenant_id + else: + # EndUser + tenant_id = current_user.tenant_id + + if not tenant_id: + self._environment_variables = "{}" + return value = list(value) if any(var for var in value if not var.id): @@ -355,18 +377,6 @@ class Workflow(Base): ) -class WorkflowRunStatus(StrEnum): - """ - Workflow Run Status Enum - """ - - RUNNING = "running" - SUCCEEDED = "succeeded" - FAILED = "failed" - STOPPED = "stopped" - PARTIAL_SUCCEEDED = "partial-succeeded" - - class WorkflowRun(Base): """ Workflow Run @@ -425,14 +435,14 @@ class WorkflowRun(Base): status: Mapped[str] = mapped_column(db.String(255)) # running, succeeded, failed, stopped, partial-succeeded outputs: Mapped[Optional[str]] = mapped_column(sa.Text, default="{}") error: Mapped[Optional[str]] = mapped_column(db.Text) - elapsed_time = db.Column(db.Float, nullable=False, server_default=sa.text("0")) + elapsed_time: Mapped[float] = mapped_column(db.Float, nullable=False, server_default=sa.text("0")) total_tokens: Mapped[int] = mapped_column(sa.BigInteger, server_default=sa.text("0")) - total_steps = db.Column(db.Integer, server_default=db.text("0")) + total_steps: Mapped[int] = mapped_column(db.Integer, server_default=db.text("0"), nullable=True) created_by_role: Mapped[str] = mapped_column(db.String(255)) # account, end_user - created_by = db.Column(StringUUID, nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - finished_at = db.Column(db.DateTime) - exceptions_count = db.Column(db.Integer, server_default=db.text("0")) + created_by: Mapped[str] = mapped_column(StringUUID, nullable=False) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + finished_at: Mapped[Optional[datetime]] = mapped_column(db.DateTime) + exceptions_count: Mapped[int] = mapped_column(db.Integer, server_default=db.text("0"), nullable=True) @property def created_by_account(self): @@ -447,7 +457,7 @@ class WorkflowRun(Base): return db.session.get(EndUser, self.created_by) if created_by_role == CreatorUserRole.END_USER else None @property - def graph_dict(self): + def graph_dict(self) -> Mapping[str, Any]: return json.loads(self.graph) if self.graph else {} @property @@ -531,19 +541,7 @@ class WorkflowNodeExecutionTriggeredFrom(StrEnum): WORKFLOW_RUN = "workflow-run" -class WorkflowNodeExecutionStatus(StrEnum): - """ - Workflow Node Execution Status Enum - """ - - RUNNING = "running" - SUCCEEDED = "succeeded" - FAILED = "failed" - EXCEPTION = "exception" - RETRY = "retry" - - -class WorkflowNodeExecution(Base): +class WorkflowNodeExecutionModel(Base): """ Workflow Node Execution @@ -666,8 +664,11 @@ class WorkflowNodeExecution(Base): return json.loads(self.process_data) if self.process_data else None @property - def execution_metadata_dict(self) -> dict[str, Any] | None: - return json.loads(self.execution_metadata) if self.execution_metadata else None + def execution_metadata_dict(self) -> dict[str, Any]: + # When the metadata is unset, we return an empty dictionary instead of `None`. + # This approach streamlines the logic for the caller, making it easier to handle + # cases where metadata is absent. + return json.loads(self.execution_metadata) if self.execution_metadata else {} @property def extras(self): @@ -749,12 +750,12 @@ class WorkflowAppLog(Base): id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) tenant_id: Mapped[str] = mapped_column(StringUUID) app_id: Mapped[str] = mapped_column(StringUUID) - workflow_id = db.Column(StringUUID, nullable=False) + workflow_id: Mapped[str] = mapped_column(StringUUID, nullable=False) workflow_run_id: Mapped[str] = mapped_column(StringUUID) - created_from = db.Column(db.String(255), nullable=False) - created_by_role = db.Column(db.String(255), nullable=False) - created_by = db.Column(StringUUID, nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + created_from: Mapped[str] = mapped_column(db.String(255), nullable=False) + created_by_role: Mapped[str] = mapped_column(db.String(255), nullable=False) + created_by: Mapped[str] = mapped_column(StringUUID, nullable=False) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) @property def workflow_run(self): @@ -779,9 +780,11 @@ class ConversationVariable(Base): id: Mapped[str] = mapped_column(StringUUID, primary_key=True) conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=False, primary_key=True, index=True) app_id: Mapped[str] = mapped_column(StringUUID, nullable=False, index=True) - data = mapped_column(db.Text, nullable=False) - created_at = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp(), index=True) - updated_at = mapped_column( + data: Mapped[str] = mapped_column(db.Text, nullable=False) + created_at: Mapped[datetime] = mapped_column( + db.DateTime, nullable=False, server_default=func.current_timestamp(), index=True + ) + updated_at: Mapped[datetime] = mapped_column( db.DateTime, nullable=False, server_default=func.current_timestamp(), onupdate=func.current_timestamp() ) @@ -829,14 +832,14 @@ class WorkflowDraftVariable(Base): # id is the unique identifier of a draft variable. id: Mapped[str] = mapped_column(StringUUID, primary_key=True, server_default=db.text("uuid_generate_v4()")) - created_at = mapped_column( + created_at: Mapped[datetime] = mapped_column( db.DateTime, nullable=False, default=_naive_utc_datetime, server_default=func.current_timestamp(), ) - updated_at = mapped_column( + updated_at: Mapped[datetime] = mapped_column( db.DateTime, nullable=False, default=_naive_utc_datetime, diff --git a/api/pyproject.toml b/api/pyproject.toml index 26a0bdb11e..f497274da1 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "chardet~=5.1.0", "flask~=3.1.0", "flask-compress~=1.17", - "flask-cors~=5.0.0", + "flask-cors~=6.0.0", "flask-login~=0.6.3", "flask-migrate~=4.0.7", "flask-restful~=0.3.10", @@ -36,10 +36,9 @@ dependencies = [ "mailchimp-transactional~=1.0.50", "markdown~=3.5.1", "numpy~=1.26.4", - "oci~=2.135.1", "openai~=1.61.0", "openpyxl~=3.1.5", - "opik~=1.3.4", + "opik~=1.7.25", "opentelemetry-api==1.27.0", "opentelemetry-distro==0.48b0", "opentelemetry-exporter-otlp==1.27.0", @@ -143,11 +142,16 @@ dev = [ "types-requests~=2.32.0", "types-requests-oauthlib~=2.0.0", "types-shapely~=2.0.0", - "types-simplejson~=3.20.0", - "types-six~=1.17.0", - "types-tensorflow~=2.18.0", - "types-tqdm~=4.67.0", - "types-ujson~=5.10.0", + "types-simplejson>=3.20.0", + "types-six>=1.17.0", + "types-tensorflow>=2.18.0", + "types-tqdm>=4.67.0", + "types-ujson>=5.10.0", + "boto3-stubs>=1.38.20", + "types-jmespath>=1.0.2.20240106", + "types_pyOpenSSL>=24.1.0", + "types_cffi>=1.17.0", + "types_setuptools>=80.9.0", ] ############################################################ @@ -189,7 +193,7 @@ vdb = [ "pymilvus~=2.5.0", "pymochow==1.3.1", "pyobvector~=0.1.6", - "qdrant-client==1.7.3", + "qdrant-client==1.9.0", "tablestore==6.1.0", "tcvectordb~=1.6.4", "tidb-vector==0.0.9", diff --git a/api/pytest.ini b/api/pytest.ini index 618e921825..eb49619481 100644 --- a/api/pytest.ini +++ b/api/pytest.ini @@ -1,5 +1,4 @@ [pytest] -continue-on-collection-errors = true addopts = --cov=./api --cov-report=json --cov-report=xml env = ANTHROPIC_API_KEY = sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz diff --git a/api/schedule/clean_messages.py b/api/schedule/clean_messages.py index f41f5264c7..d02bc81f33 100644 --- a/api/schedule/clean_messages.py +++ b/api/schedule/clean_messages.py @@ -34,9 +34,8 @@ def clean_messages(): while True: try: # Main query with join and filter - # FIXME:for mypy no paginate method error messages = ( - db.session.query(Message) # type: ignore + db.session.query(Message) .filter(Message.created_at < plan_sandbox_clean_message_day) .order_by(Message.created_at.desc()) .limit(100) diff --git a/api/schedule/queue_monitor_task.py b/api/schedule/queue_monitor_task.py new file mode 100644 index 0000000000..e3a7021b9d --- /dev/null +++ b/api/schedule/queue_monitor_task.py @@ -0,0 +1,62 @@ +import logging +from datetime import datetime +from urllib.parse import urlparse + +import click +from flask import render_template +from redis import Redis + +import app +from configs import dify_config +from extensions.ext_database import db +from extensions.ext_mail import mail + +# Create a dedicated Redis connection (using the same configuration as Celery) +celery_broker_url = dify_config.CELERY_BROKER_URL + +parsed = urlparse(celery_broker_url) +host = parsed.hostname or "localhost" +port = parsed.port or 6379 +password = parsed.password or None +redis_db = parsed.path.strip("/") or "1" # type: ignore + +celery_redis = Redis(host=host, port=port, password=password, db=redis_db) + + +@app.celery.task(queue="monitor") +def queue_monitor_task(): + queue_name = "dataset" + threshold = dify_config.QUEUE_MONITOR_THRESHOLD + + try: + queue_length = celery_redis.llen(f"{queue_name}") + logging.info(click.style(f"Start monitor {queue_name}", fg="green")) + logging.info(click.style(f"Queue length: {queue_length}", fg="green")) + + if queue_length >= threshold: + warning_msg = f"Queue {queue_name} task count exceeded the limit.: {queue_length}/{threshold}" + logging.warning(click.style(warning_msg, fg="red")) + alter_emails = dify_config.QUEUE_MONITOR_ALERT_EMAILS + if alter_emails: + to_list = alter_emails.split(",") + for to in to_list: + try: + current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + html_content = render_template( + "queue_monitor_alert_email_template_en-US.html", + queue_name=queue_name, + queue_length=queue_length, + threshold=threshold, + alert_time=current_time, + ) + mail.send( + to=to, subject="Alert: Dataset Queue pending tasks exceeded the limit", html=html_content + ) + except Exception as e: + logging.exception(click.style("Exception occurred during sending email", fg="red")) + + except Exception as e: + logging.exception(click.style("Exception occurred during queue monitoring", fg="red")) + finally: + if db.session.is_active: + db.session.close() diff --git a/api/services/clear_free_plan_tenant_expired_logs.py b/api/services/clear_free_plan_tenant_expired_logs.py index 5762bf9600..1fd560d581 100644 --- a/api/services/clear_free_plan_tenant_expired_logs.py +++ b/api/services/clear_free_plan_tenant_expired_logs.py @@ -14,7 +14,7 @@ from extensions.ext_database import db from extensions.ext_storage import storage from models.account import Tenant from models.model import App, Conversation, Message -from models.workflow import WorkflowNodeExecution, WorkflowRun +from models.workflow import WorkflowNodeExecutionModel, WorkflowRun from services.billing_service import BillingService logger = logging.getLogger(__name__) @@ -108,10 +108,11 @@ class ClearFreePlanTenantExpiredLogs: while True: with Session(db.engine).no_autoflush as session: workflow_node_executions = ( - session.query(WorkflowNodeExecution) + session.query(WorkflowNodeExecutionModel) .filter( - WorkflowNodeExecution.tenant_id == tenant_id, - WorkflowNodeExecution.created_at < datetime.datetime.now() - datetime.timedelta(days=days), + WorkflowNodeExecutionModel.tenant_id == tenant_id, + WorkflowNodeExecutionModel.created_at + < datetime.datetime.now() - datetime.timedelta(days=days), ) .limit(batch) .all() @@ -135,8 +136,8 @@ class ClearFreePlanTenantExpiredLogs: ] # delete workflow node executions - session.query(WorkflowNodeExecution).filter( - WorkflowNodeExecution.id.in_(workflow_node_execution_ids), + session.query(WorkflowNodeExecutionModel).filter( + WorkflowNodeExecutionModel.id.in_(workflow_node_execution_ids), ).delete(synchronize_session=False) session.commit() diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index bac1bf389f..4a5e9b3520 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -477,17 +477,15 @@ class DatasetService: if dataset.permission == DatasetPermissionEnum.ONLY_ME and dataset.created_by != user.id: logging.debug(f"User {user.id} does not have permission to access dataset {dataset.id}") raise NoPermissionError("You do not have permission to access this dataset.") - if dataset.permission == "partial_members": - user_permission = ( - db.session.query(DatasetPermission).filter_by(dataset_id=dataset.id, account_id=user.id).first() - ) - if ( - not user_permission - and dataset.tenant_id != user.current_tenant_id - and dataset.created_by != user.id - ): - logging.debug(f"User {user.id} does not have permission to access dataset {dataset.id}") - raise NoPermissionError("You do not have permission to access this dataset.") + if dataset.permission == DatasetPermissionEnum.PARTIAL_TEAM: + # For partial team permission, user needs explicit permission or be the creator + if dataset.created_by != user.id: + user_permission = ( + db.session.query(DatasetPermission).filter_by(dataset_id=dataset.id, account_id=user.id).first() + ) + if not user_permission: + logging.debug(f"User {user.id} does not have permission to access dataset {dataset.id}") + raise NoPermissionError("You do not have permission to access this dataset.") @staticmethod def check_dataset_operator_permission(user: Optional[Account] = None, dataset: Optional[Dataset] = None): @@ -960,11 +958,11 @@ class DocumentService: "score_threshold_enabled": False, } - dataset.retrieval_model = ( - knowledge_config.retrieval_model.model_dump() - if knowledge_config.retrieval_model - else default_retrieval_model - ) # type: ignore + dataset.retrieval_model = ( + knowledge_config.retrieval_model.model_dump() + if knowledge_config.retrieval_model + else default_retrieval_model + ) # type: ignore documents = [] if knowledge_config.original_document_id: diff --git a/api/services/hit_testing_service.py b/api/services/hit_testing_service.py index 56e06cc33e..519d5abca5 100644 --- a/api/services/hit_testing_service.py +++ b/api/services/hit_testing_service.py @@ -2,8 +2,11 @@ import logging import time from typing import Any +from core.app.app_config.entities import ModelConfig +from core.model_runtime.entities import LLMMode from core.rag.datasource.retrieval_service import RetrievalService from core.rag.models.document import Document +from core.rag.retrieval.dataset_retrieval import DatasetRetrieval from core.rag.retrieval.retrieval_methods import RetrievalMethod from extensions.ext_database import db from models.account import Account @@ -34,7 +37,29 @@ class HitTestingService: # get retrieval model , if the model is not setting , using default if not retrieval_model: retrieval_model = dataset.retrieval_model or default_retrieval_model - + document_ids_filter = None + metadata_filtering_conditions = retrieval_model.get("metadata_filtering_conditions", {}) + if metadata_filtering_conditions: + dataset_retrieval = DatasetRetrieval() + + from core.app.app_config.entities import MetadataFilteringCondition + + metadata_filtering_conditions = MetadataFilteringCondition(**metadata_filtering_conditions) + + metadata_filter_document_ids, metadata_condition = dataset_retrieval.get_metadata_filter_condition( + dataset_ids=[dataset.id], + query=query, + metadata_filtering_mode="manual", + metadata_filtering_conditions=metadata_filtering_conditions, + inputs={}, + tenant_id="", + user_id="", + metadata_model_config=ModelConfig(provider="", name="", mode=LLMMode.CHAT, completion_params={}), + ) + if metadata_filter_document_ids: + document_ids_filter = metadata_filter_document_ids.get(dataset.id, []) + if metadata_condition and not document_ids_filter: + return cls.compact_retrieve_response(query, []) all_documents = RetrievalService.retrieve( retrieval_method=retrieval_model.get("search_method", "semantic_search"), dataset_id=dataset.id, @@ -48,6 +73,7 @@ class HitTestingService: else None, reranking_mode=retrieval_model.get("reranking_mode") or "reranking_model", weights=retrieval_model.get("weights", None), + document_ids_filter=document_ids_filter, ) end = time.perf_counter() @@ -99,7 +125,7 @@ class HitTestingService: return dict(cls.compact_external_retrieve_response(dataset, query, all_documents)) @classmethod - def compact_retrieve_response(cls, query: str, documents: list[Document]): + def compact_retrieve_response(cls, query: str, documents: list[Document]) -> dict[Any, Any]: records = RetrievalService.format_retrieval_documents(documents) return { diff --git a/api/services/ops_service.py b/api/services/ops_service.py index a9c2b28476..792f50703e 100644 --- a/api/services/ops_service.py +++ b/api/services/ops_service.py @@ -1,5 +1,6 @@ -from typing import Optional +from typing import Any, Optional +from core.ops.entities.config_entity import BaseTracingConfig from core.ops.ops_trace_manager import OpsTraceManager, provider_config_map from extensions.ext_database import db from models.model import App, TraceAppConfig @@ -92,13 +93,12 @@ class OpsService: except KeyError: return {"error": f"Invalid tracing provider: {tracing_provider}"} - config_class, other_keys = ( - provider_config_map[tracing_provider]["config_class"], - provider_config_map[tracing_provider]["other_keys"], - ) - # FIXME: ignore type error - default_config_instance = config_class(**tracing_config) # type: ignore - for key in other_keys: # type: ignore + provider_config: dict[str, Any] = provider_config_map[tracing_provider] + config_class: type[BaseTracingConfig] = provider_config["config_class"] + other_keys: list[str] = provider_config["other_keys"] + + default_config_instance: BaseTracingConfig = config_class(**tracing_config) + for key in other_keys: if key in tracing_config and tracing_config[key] == "": tracing_config[key] = getattr(default_config_instance, key, None) diff --git a/api/services/plugin/plugin_service.py b/api/services/plugin/plugin_service.py index be722a59ad..a8b64f27db 100644 --- a/api/services/plugin/plugin_service.py +++ b/api/services/plugin/plugin_service.py @@ -17,7 +17,7 @@ from core.plugin.entities.plugin import ( PluginInstallation, PluginInstallationSource, ) -from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginUploadResponse +from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginListResponse, PluginUploadResponse from core.plugin.impl.asset import PluginAssetManager from core.plugin.impl.debugging import PluginDebuggingClient from core.plugin.impl.plugin import PluginInstaller @@ -110,6 +110,15 @@ class PluginService: plugins = manager.list_plugins(tenant_id) return plugins + @staticmethod + def list_with_total(tenant_id: str, page: int, page_size: int) -> PluginListResponse: + """ + list all plugins of the tenant + """ + manager = PluginInstaller() + plugins = manager.list_plugins_with_total(tenant_id, page, page_size) + return plugins + @staticmethod def list_installations_from_ids(tenant_id: str, ids: Sequence[str]) -> Sequence[PluginInstallation]: """ diff --git a/api/services/tag_service.py b/api/services/tag_service.py index 21cb861f87..74c6150b44 100644 --- a/api/services/tag_service.py +++ b/api/services/tag_service.py @@ -44,6 +44,19 @@ class TagService: results = [tag_binding.target_id for tag_binding in tag_bindings] return results + @staticmethod + def get_tag_by_tag_name(tag_type: str, current_tenant_id: str, tag_name: str) -> list: + if not tag_type or not tag_name: + return [] + tags = ( + db.session.query(Tag) + .filter(Tag.name == tag_name, Tag.tenant_id == current_tenant_id, Tag.type == tag_type) + .all() + ) + if not tags: + return [] + return tags + @staticmethod def get_tags_by_target_id(tag_type: str, current_tenant_id: str, target_id: str) -> list: tags = ( @@ -62,6 +75,8 @@ class TagService: @staticmethod def save_tags(args: dict) -> Tag: + if TagService.get_tag_by_tag_name(args["type"], current_user.current_tenant_id, args["name"]): + raise ValueError("Tag name already exists") tag = Tag( id=str(uuid.uuid4()), name=args["name"], @@ -75,6 +90,8 @@ class TagService: @staticmethod def update_tags(args: dict, tag_id: str) -> Tag: + if TagService.get_tag_by_tag_name(args.get("type", ""), current_user.current_tenant_id, args.get("name", "")): + raise ValueError("Tag name already exists") tag = db.session.query(Tag).filter(Tag.id == tag_id).first() if not tag: raise NotFound("Tag not found") diff --git a/api/services/vector_service.py b/api/services/vector_service.py index 58292c59f4..19e37f4ee3 100644 --- a/api/services/vector_service.py +++ b/api/services/vector_service.py @@ -23,11 +23,10 @@ class VectorService: ): documents: list[Document] = [] - document: Document | None = None for segment in segments: if doc_form == IndexType.PARENT_CHILD_INDEX: - document = db.session.query(DatasetDocument).filter_by(id=segment.document_id).first() - if not document: + dataset_document = db.session.query(DatasetDocument).filter_by(id=segment.document_id).first() + if not dataset_document: _logger.warning( "Expected DatasetDocument record to exist, but none was found, document_id=%s, segment_id=%s", segment.document_id, @@ -37,7 +36,7 @@ class VectorService: # get the process rule processing_rule = ( db.session.query(DatasetProcessRule) - .filter(DatasetProcessRule.id == document.dataset_process_rule_id) + .filter(DatasetProcessRule.id == dataset_document.dataset_process_rule_id) .first() ) if not processing_rule: @@ -61,9 +60,11 @@ class VectorService: ) else: raise ValueError("The knowledge base index technique is not high quality!") - cls.generate_child_chunks(segment, document, dataset, embedding_model_instance, processing_rule, False) + cls.generate_child_chunks( + segment, dataset_document, dataset, embedding_model_instance, processing_rule, False + ) else: - document = Document( + rag_document = Document( page_content=segment.content, metadata={ "doc_id": segment.index_node_id, @@ -72,7 +73,7 @@ class VectorService: "dataset_id": segment.dataset_id, }, ) - documents.append(document) + documents.append(rag_document) if len(documents) > 0: index_processor = IndexProcessorFactory(doc_form).init_index_processor() index_processor.load(dataset, documents, with_keywords=True, keywords_list=keywords_list) diff --git a/api/services/website_service.py b/api/services/website_service.py index 3913dc2efe..6720932a3a 100644 --- a/api/services/website_service.py +++ b/api/services/website_service.py @@ -173,26 +173,27 @@ class WebsiteService: return crawl_status_data @classmethod - def get_crawl_url_data(cls, job_id: str, provider: str, url: str, tenant_id: str) -> dict[Any, Any] | None: + def get_crawl_url_data(cls, job_id: str, provider: str, url: str, tenant_id: str) -> dict[str, Any] | None: credentials = ApiKeyAuthService.get_auth_credentials(tenant_id, "website", provider) # decrypt api_key api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key")) - # FIXME data is redefine too many times here, use Any to ease the type checking, fix it later - data: Any + if provider == "firecrawl": + crawl_data: list[dict[str, Any]] | None = None file_key = "website_files/" + job_id + ".txt" if storage.exists(file_key): - d = storage.load_once(file_key) - if d: - data = json.loads(d.decode("utf-8")) + stored_data = storage.load_once(file_key) + if stored_data: + crawl_data = json.loads(stored_data.decode("utf-8")) else: firecrawl_app = FirecrawlApp(api_key=api_key, base_url=credentials.get("config").get("base_url", None)) result = firecrawl_app.check_crawl_status(job_id) if result.get("status") != "completed": raise ValueError("Crawl job is not completed") - data = result.get("data") - if data: - for item in data: + crawl_data = result.get("data") + + if crawl_data: + for item in crawl_data: if item.get("source_url") == url: return dict(item) return None @@ -211,23 +212,24 @@ class WebsiteService: raise ValueError("Failed to crawl") return dict(response.json().get("data", {})) else: - api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key")) - response = requests.post( + # Get crawl status first + status_response = requests.post( "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, json={"taskId": job_id}, ) - data = response.json().get("data", {}) - if data.get("status") != "completed": + status_data = status_response.json().get("data", {}) + if status_data.get("status") != "completed": raise ValueError("Crawl job is not completed") - response = requests.post( + # Get processed data + data_response = requests.post( "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app", headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}, - json={"taskId": job_id, "urls": list(data.get("processed", {}).keys())}, + json={"taskId": job_id, "urls": list(status_data.get("processed", {}).keys())}, ) - data = response.json().get("data", {}) - for item in data.get("processed", {}).values(): + processed_data = data_response.json().get("data", {}) + for item in processed_data.get("processed", {}).values(): if item.get("data", {}).get("url") == url: return dict(item.get("data", {})) return None diff --git a/api/services/workflow_app_service.py b/api/services/workflow_app_service.py index a899ebe278..6b30a70372 100644 --- a/api/services/workflow_app_service.py +++ b/api/services/workflow_app_service.py @@ -4,9 +4,9 @@ from datetime import datetime from sqlalchemy import and_, func, or_, select from sqlalchemy.orm import Session +from core.workflow.entities.workflow_execution import WorkflowExecutionStatus from models import App, EndUser, WorkflowAppLog, WorkflowRun from models.enums import CreatorUserRole -from models.workflow import WorkflowRunStatus class WorkflowAppService: @@ -16,7 +16,7 @@ class WorkflowAppService: session: Session, app_model: App, keyword: str | None = None, - status: WorkflowRunStatus | None = None, + status: WorkflowExecutionStatus | None = None, created_at_before: datetime | None = None, created_at_after: datetime | None = None, page: int = 1, diff --git a/api/services/workflow_run_service.py b/api/services/workflow_run_service.py index 3efdb3a79d..483c0d3086 100644 --- a/api/services/workflow_run_service.py +++ b/api/services/workflow_run_service.py @@ -4,17 +4,18 @@ from typing import Optional import contexts from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.repository.workflow_node_execution_repository import OrderConfig +from core.workflow.repositories.workflow_node_execution_repository import OrderConfig from extensions.ext_database import db from libs.infinite_scroll_pagination import InfiniteScrollPagination from models import ( Account, App, EndUser, - WorkflowNodeExecution, + WorkflowNodeExecutionModel, WorkflowRun, WorkflowRunTriggeredFrom, ) +from models.workflow import WorkflowNodeExecutionTriggeredFrom class WorkflowRunService: @@ -124,7 +125,7 @@ class WorkflowRunService: app_model: App, run_id: str, user: Account | EndUser, - ) -> Sequence[WorkflowNodeExecution]: + ) -> Sequence[WorkflowNodeExecutionModel]: """ Get workflow run node execution list """ @@ -140,14 +141,13 @@ class WorkflowRunService: session_factory=db.engine, user=user, app_id=app_model.id, - triggered_from=None, + triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, ) - # Use the repository to get the node executions with ordering + # Use the repository to get the database models directly order_config = OrderConfig(order_by=["index"], order_direction="desc") - node_executions = repository.get_by_workflow_run(workflow_run_id=run_id, order_config=order_config) - - # Convert domain models to database models - workflow_node_executions = [repository.to_db_model(node_execution) for node_execution in node_executions] + workflow_node_executions = repository.get_db_models_by_workflow_run( + workflow_run_id=run_id, order_config=order_config + ) return workflow_node_executions diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py index 06d92b9e29..bc213ccce6 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -13,7 +13,7 @@ from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from core.variables import Variable from core.workflow.entities.node_entities import NodeRunResult -from core.workflow.entities.node_execution_entities import NodeExecution, NodeExecutionStatus +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus from core.workflow.errors import WorkflowNodeRunFailedError from core.workflow.graph_engine.entities.event import InNodeEvent from core.workflow.nodes import NodeType @@ -30,8 +30,7 @@ from models.model import App, AppMode from models.tools import WorkflowToolProvider from models.workflow import ( Workflow, - WorkflowNodeExecution, - WorkflowNodeExecutionStatus, + WorkflowNodeExecutionModel, WorkflowNodeExecutionTriggeredFrom, WorkflowType, ) @@ -255,7 +254,7 @@ class WorkflowService: def run_draft_workflow_node( self, app_model: App, node_id: str, user_inputs: dict, account: Account - ) -> WorkflowNodeExecution: + ) -> WorkflowNodeExecutionModel: """ Run draft workflow node """ @@ -297,7 +296,7 @@ class WorkflowService: def run_free_workflow_node( self, node_data: dict, tenant_id: str, user_id: str, node_id: str, user_inputs: dict[str, Any] - ) -> NodeExecution: + ) -> WorkflowNodeExecution: """ Run draft workflow node """ @@ -323,7 +322,7 @@ class WorkflowService: invoke_node_fn: Callable[[], tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]], start_at: float, node_id: str, - ) -> NodeExecution: + ) -> WorkflowNodeExecution: try: node_instance, generator = invoke_node_fn() @@ -375,7 +374,7 @@ class WorkflowService: error = e.error # Create a NodeExecution domain model - node_execution = NodeExecution( + node_execution = WorkflowNodeExecution( id=str(uuid4()), workflow_id="", # This is a single-step execution, so no workflow ID index=1, @@ -404,13 +403,13 @@ class WorkflowService: # Map status from WorkflowNodeExecutionStatus to NodeExecutionStatus if node_run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED: - node_execution.status = NodeExecutionStatus.SUCCEEDED + node_execution.status = WorkflowNodeExecutionStatus.SUCCEEDED elif node_run_result.status == WorkflowNodeExecutionStatus.EXCEPTION: - node_execution.status = NodeExecutionStatus.EXCEPTION + node_execution.status = WorkflowNodeExecutionStatus.EXCEPTION node_execution.error = node_run_result.error else: # Set failed status and error - node_execution.status = NodeExecutionStatus.FAILED + node_execution.status = WorkflowNodeExecutionStatus.FAILED node_execution.error = error return node_execution @@ -508,11 +507,11 @@ class WorkflowService: raise DraftWorkflowDeletionError("Cannot delete draft workflow versions") # Check if this workflow is currently referenced by an app - stmt = select(App).where(App.workflow_id == workflow_id) - app = session.scalar(stmt) + app_stmt = select(App).where(App.workflow_id == workflow_id) + app = session.scalar(app_stmt) if app: # Cannot delete a workflow that's currently in use by an app - raise WorkflowInUseError(f"Cannot delete workflow that is currently in use by app '{app.name}'") + raise WorkflowInUseError(f"Cannot delete workflow that is currently in use by app '{app.id}'") # Don't use workflow.tool_published as it's not accurate for specific workflow versions # Check if there's a tool provider using this specific workflow version diff --git a/api/tasks/add_document_to_index_task.py b/api/tasks/add_document_to_index_task.py index be88881efc..75d648e1b7 100644 --- a/api/tasks/add_document_to_index_task.py +++ b/api/tasks/add_document_to_index_task.py @@ -111,7 +111,7 @@ def add_document_to_index_task(dataset_document_id: str): logging.exception("add document to index failed") dataset_document.enabled = False dataset_document.disabled_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) - dataset_document.status = "error" + dataset_document.indexing_status = "error" dataset_document.error = str(e) db.session.commit() finally: diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py index f32bc4f187..51b6343fdc 100644 --- a/api/tasks/batch_create_segment_to_index_task.py +++ b/api/tasks/batch_create_segment_to_index_task.py @@ -5,7 +5,7 @@ import uuid import click from celery import shared_task # type: ignore -from sqlalchemy import func, select +from sqlalchemy import func from sqlalchemy.orm import Session from core.model_manager import ModelManager @@ -68,11 +68,6 @@ def batch_create_segment_to_index_task( model_type=ModelType.TEXT_EMBEDDING, model=dataset.embedding_model, ) - word_count_change = 0 - segments_to_insert: list[str] = [] - max_position_stmt = select(func.max(DocumentSegment.position)).where( - DocumentSegment.document_id == dataset_document.id - ) word_count_change = 0 if embedding_model: tokens_list = embedding_model.get_text_embedding_num_tokens( diff --git a/api/tasks/document_indexing_sync_task.py b/api/tasks/document_indexing_sync_task.py index fd1f6265b4..b4848be192 100644 --- a/api/tasks/document_indexing_sync_task.py +++ b/api/tasks/document_indexing_sync_task.py @@ -114,4 +114,4 @@ def document_indexing_sync_task(dataset_id: str, document_id: str): except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: - pass + logging.exception("document_indexing_sync_task failed, document_id: {}".format(document_id)) diff --git a/api/tasks/document_indexing_task.py b/api/tasks/document_indexing_task.py index ee470d44e8..55cac6a9af 100644 --- a/api/tasks/document_indexing_task.py +++ b/api/tasks/document_indexing_task.py @@ -81,6 +81,6 @@ def document_indexing_task(dataset_id: str, document_ids: list): except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: - pass + logging.exception("Document indexing task failed, dataset_id: {}".format(dataset_id)) finally: db.session.close() diff --git a/api/tasks/document_indexing_update_task.py b/api/tasks/document_indexing_update_task.py index b9ed11a8da..167b928f5d 100644 --- a/api/tasks/document_indexing_update_task.py +++ b/api/tasks/document_indexing_update_task.py @@ -73,6 +73,6 @@ def document_indexing_update_task(dataset_id: str, document_id: str): except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: - pass + logging.exception("document_indexing_update_task failed, document_id: {}".format(document_id)) finally: db.session.close() diff --git a/api/tasks/duplicate_document_indexing_task.py b/api/tasks/duplicate_document_indexing_task.py index 100fc257ce..a6c93e110e 100644 --- a/api/tasks/duplicate_document_indexing_task.py +++ b/api/tasks/duplicate_document_indexing_task.py @@ -99,6 +99,6 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list): except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: - pass + logging.exception("duplicate_document_indexing_task failed, dataset_id: {}".format(dataset_id)) finally: db.session.close() diff --git a/api/tasks/recover_document_indexing_task.py b/api/tasks/recover_document_indexing_task.py index eada2ff9db..e7d49c78dc 100644 --- a/api/tasks/recover_document_indexing_task.py +++ b/api/tasks/recover_document_indexing_task.py @@ -43,6 +43,6 @@ def recover_document_indexing_task(dataset_id: str, document_id: str): except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: - pass + logging.exception("recover_document_indexing_task failed, document_id: {}".format(document_id)) finally: db.session.close() diff --git a/api/tasks/remove_app_and_related_data_task.py b/api/tasks/remove_app_and_related_data_task.py index d9c1980d3f..d366efd6f2 100644 --- a/api/tasks/remove_app_and_related_data_task.py +++ b/api/tasks/remove_app_and_related_data_task.py @@ -4,16 +4,12 @@ from collections.abc import Callable import click from celery import shared_task # type: ignore -from sqlalchemy import delete, select +from sqlalchemy import delete from sqlalchemy.exc import SQLAlchemyError -from sqlalchemy.orm import Session -from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository from extensions.ext_database import db from models import ( - Account, ApiToken, - App, AppAnnotationHitHistory, AppAnnotationSetting, AppDatasetJoin, @@ -34,7 +30,7 @@ from models import ( ) from models.tools import WorkflowToolProvider from models.web import PinnedConversation, SavedMessage -from models.workflow import ConversationVariable, Workflow, WorkflowAppLog, WorkflowRun +from models.workflow import ConversationVariable, Workflow, WorkflowAppLog, WorkflowNodeExecutionModel, WorkflowRun @shared_task(queue="app_deletion", bind=True, max_retries=3) @@ -191,30 +187,17 @@ def _delete_app_workflow_runs(tenant_id: str, app_id: str): def _delete_app_workflow_node_executions(tenant_id: str, app_id: str): - # Get app's owner - with Session(db.engine, expire_on_commit=False) as session: - stmt = select(Account).where(Account.id == App.owner_id).where(App.id == app_id) - user = session.scalar(stmt) - - if user is None: - errmsg = ( - f"Failed to delete workflow node executions for tenant {tenant_id} and app {app_id}, app's owner not found" - ) - logging.error(errmsg) - raise ValueError(errmsg) - - # Create a repository instance for WorkflowNodeExecution - repository = SQLAlchemyWorkflowNodeExecutionRepository( - session_factory=db.engine, - user=user, - app_id=app_id, - triggered_from=None, - ) - - # Use the clear method to delete all records for this tenant_id and app_id - repository.clear() + def del_workflow_node_execution(workflow_node_execution_id: str): + db.session.query(WorkflowNodeExecutionModel).filter( + WorkflowNodeExecutionModel.id == workflow_node_execution_id + ).delete(synchronize_session=False) - logging.info(click.style(f"Deleted workflow node executions for tenant {tenant_id} and app {app_id}", fg="green")) + _delete_records( + """select id from workflow_node_executions where tenant_id=:tenant_id and app_id=:app_id limit 1000""", + {"tenant_id": tenant_id, "app_id": app_id}, + del_workflow_node_execution, + "workflow node execution", + ) def _delete_app_workflow_app_logs(tenant_id: str, app_id: str): diff --git a/api/tasks/retry_document_indexing_task.py b/api/tasks/retry_document_indexing_task.py index 7e50eb9f8d..a6e7092216 100644 --- a/api/tasks/retry_document_indexing_task.py +++ b/api/tasks/retry_document_indexing_task.py @@ -95,7 +95,7 @@ def retry_document_indexing_task(dataset_id: str, document_ids: list[str]): db.session.commit() logging.info(click.style(str(ex), fg="yellow")) redis_client.delete(retry_indexing_cache_key) - pass + logging.exception("retry_document_indexing_task failed, document_id: {}".format(document_id)) finally: db.session.close() end_at = time.perf_counter() diff --git a/api/tasks/sync_website_document_indexing_task.py b/api/tasks/sync_website_document_indexing_task.py index e75252edbe..dba0a39c2d 100644 --- a/api/tasks/sync_website_document_indexing_task.py +++ b/api/tasks/sync_website_document_indexing_task.py @@ -87,6 +87,6 @@ def sync_website_document_indexing_task(dataset_id: str, document_id: str): db.session.commit() logging.info(click.style(str(ex), fg="yellow")) redis_client.delete(sync_indexing_cache_key) - pass + logging.exception("sync_website_document_indexing_task failed, document_id: {}".format(document_id)) end_at = time.perf_counter() logging.info(click.style("Sync document: {} latency: {}".format(document_id, end_at - start_at), fg="green")) diff --git a/api/templates/queue_monitor_alert_email_template_en-US.html b/api/templates/queue_monitor_alert_email_template_en-US.html new file mode 100644 index 0000000000..2885210864 --- /dev/null +++ b/api/templates/queue_monitor_alert_email_template_en-US.html @@ -0,0 +1,129 @@ + + + + + + + + +
+
+ Dify Logo +
+

Queue Monitoring Alert

+

Our system has detected an abnormal queue status that requires your attention:

+ +
+
Queue Task Alert
+
+ Queue "{{queue_name}}" has {{queue_length}} pending tasks (Threshold: {{threshold}}) +
+
+ +
+

Recommended actions:

+

1. Check the queue processing status in the system dashboard

+

2. Verify if there are any processing bottlenecks

+

3. Consider scaling up workers if needed

+
+ +

Additional Information:

+
    +
  • Alert triggered at: {{alert_time}}
    • +
+
+ + + diff --git a/api/tests/integration_tests/workflow/nodes/test_code.py b/api/tests/integration_tests/workflow/nodes/test_code.py index 4de985ae7c..13d78c2d83 100644 --- a/api/tests/integration_tests/workflow/nodes/test_code.py +++ b/api/tests/integration_tests/workflow/nodes/test_code.py @@ -8,6 +8,7 @@ import pytest from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -15,7 +16,7 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime from core.workflow.nodes.code.code_node import CodeNode from core.workflow.nodes.code.entities import CodeNodeData from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock CODE_MAX_STRING_LENGTH = int(getenv("CODE_MAX_STRING_LENGTH", "10000")) diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index 777a04bd7f..6aa48b1cbb 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -3,12 +3,18 @@ import os import time import uuid from collections.abc import Generator -from unittest.mock import MagicMock +from decimal import Decimal +from unittest.mock import MagicMock, patch import pytest +from app_factory import create_app +from configs import dify_config from core.app.entities.app_invoke_entities import InvokeFrom +from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage +from core.model_runtime.entities.message_entities import AssistantPromptMessage from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -17,14 +23,28 @@ from core.workflow.nodes.event import RunCompletedEvent from core.workflow.nodes.llm.node import LLMNode from extensions.ext_database import db from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType -from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config +from models.workflow import WorkflowType """FOR MOCK FIXTURES, DO NOT REMOVE""" from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock +@pytest.fixture(scope="session") +def app(): + # Set up storage configuration + os.environ["STORAGE_TYPE"] = "opendal" + os.environ["OPENDAL_SCHEME"] = "fs" + os.environ["OPENDAL_FS_ROOT"] = "storage" + + # Ensure storage directory exists + os.makedirs("storage", exist_ok=True) + + app = create_app() + dify_config.LOGIN_DISABLED = True + return app + + def init_llm_node(config: dict) -> LLMNode: graph_config = { "edges": [ @@ -39,13 +59,19 @@ def init_llm_node(config: dict) -> LLMNode: graph = Graph.init(graph_config=graph_config) + # Use proper UUIDs for database compatibility + tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" + app_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056c" + workflow_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056d" + user_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056e" + init_params = GraphInitParams( - tenant_id="1", - app_id="1", + tenant_id=tenant_id, + app_id=app_id, workflow_type=WorkflowType.WORKFLOW, - workflow_id="1", + workflow_id=workflow_id, graph_config=graph_config, - user_id="1", + user_id=user_id, user_from=UserFrom.ACCOUNT, invoke_from=InvokeFrom.DEBUGGER, call_depth=0, @@ -76,115 +102,197 @@ def init_llm_node(config: dict) -> LLMNode: return node -def test_execute_llm(setup_model_mock): - node = init_llm_node( - config={ - "id": "llm", - "data": { - "title": "123", - "type": "llm", - "model": { - "provider": "langgenius/openai/openai", - "name": "gpt-3.5-turbo", - "mode": "chat", - "completion_params": {}, +def test_execute_llm(app): + with app.app_context(): + node = init_llm_node( + config={ + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, + "prompt_template": [ + { + "role": "system", + "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}.", + }, + {"role": "user", "text": "{{#sys.query#}}"}, + ], + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, }, - "prompt_template": [ - {"role": "system", "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}."}, - {"role": "user", "text": "{{#sys.query#}}"}, - ], - "memory": None, - "context": {"enabled": False}, - "vision": {"enabled": False}, }, - }, - ) + ) - credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} + credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - # Mock db.session.close() - db.session.close = MagicMock() + # Create a proper LLM result with real entities + mock_usage = LLMUsage( + prompt_tokens=30, + prompt_unit_price=Decimal("0.001"), + prompt_price_unit=Decimal("1000"), + prompt_price=Decimal("0.00003"), + completion_tokens=20, + completion_unit_price=Decimal("0.002"), + completion_price_unit=Decimal("1000"), + completion_price=Decimal("0.00004"), + total_tokens=50, + total_price=Decimal("0.00007"), + currency="USD", + latency=0.5, + ) - node._fetch_model_config = get_mocked_fetch_model_config( - provider="langgenius/openai/openai", - model="gpt-3.5-turbo", - mode="chat", - credentials=credentials, - ) + mock_message = AssistantPromptMessage(content="This is a test response from the mocked LLM.") + + mock_llm_result = LLMResult( + model="gpt-3.5-turbo", + prompt_messages=[], + message=mock_message, + usage=mock_usage, + ) + + # Create a simple mock model instance that doesn't call real providers + mock_model_instance = MagicMock() + mock_model_instance.invoke_llm.return_value = mock_llm_result + + # Create a simple mock model config with required attributes + mock_model_config = MagicMock() + mock_model_config.mode = "chat" + mock_model_config.provider = "langgenius/openai/openai" + mock_model_config.model = "gpt-3.5-turbo" + mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" + + # Mock the _fetch_model_config method + def mock_fetch_model_config_func(_node_data_model): + return mock_model_instance, mock_model_config + + # Also mock ModelManager.get_model_instance to avoid database calls + def mock_get_model_instance(_self, **kwargs): + return mock_model_instance - # execute node - result = node._run() - assert isinstance(result, Generator) + with ( + patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), + patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), + ): + # execute node + result = node._run() + assert isinstance(result, Generator) - for item in result: - if isinstance(item, RunCompletedEvent): - assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.process_data is not None - assert item.run_result.outputs is not None - assert item.run_result.outputs.get("text") is not None - assert item.run_result.outputs.get("usage", {})["total_tokens"] > 0 + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.process_data is not None + assert item.run_result.outputs is not None + assert item.run_result.outputs.get("text") is not None + assert item.run_result.outputs.get("usage", {})["total_tokens"] > 0 @pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) -def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_model_mock): +def test_execute_llm_with_jinja2(app, setup_code_executor_mock): """ Test execute LLM node with jinja2 """ - node = init_llm_node( - config={ - "id": "llm", - "data": { - "title": "123", - "type": "llm", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, - "prompt_config": { - "jinja2_variables": [ - {"variable": "sys_query", "value_selector": ["sys", "query"]}, - {"variable": "output", "value_selector": ["abc", "output"]}, - ] - }, - "prompt_template": [ - { - "role": "system", - "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}", - "jinja2_text": "you are a helpful assistant.\ntoday's weather is {{output}}.", - "edition_type": "jinja2", + with app.app_context(): + node = init_llm_node( + config={ + "id": "llm", + "data": { + "title": "123", + "type": "llm", + "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "prompt_config": { + "jinja2_variables": [ + {"variable": "sys_query", "value_selector": ["sys", "query"]}, + {"variable": "output", "value_selector": ["abc", "output"]}, + ] }, - { - "role": "user", - "text": "{{#sys.query#}}", - "jinja2_text": "{{sys_query}}", - "edition_type": "basic", - }, - ], - "memory": None, - "context": {"enabled": False}, - "vision": {"enabled": False}, + "prompt_template": [ + { + "role": "system", + "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}", + "jinja2_text": "you are a helpful assistant.\ntoday's weather is {{output}}.", + "edition_type": "jinja2", + }, + { + "role": "user", + "text": "{{#sys.query#}}", + "jinja2_text": "{{sys_query}}", + "edition_type": "basic", + }, + ], + "memory": None, + "context": {"enabled": False}, + "vision": {"enabled": False}, + }, }, - }, - ) + ) - credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} + # Mock db.session.close() + db.session.close = MagicMock() - # Mock db.session.close() - db.session.close = MagicMock() + # Create a proper LLM result with real entities + mock_usage = LLMUsage( + prompt_tokens=30, + prompt_unit_price=Decimal("0.001"), + prompt_price_unit=Decimal("1000"), + prompt_price=Decimal("0.00003"), + completion_tokens=20, + completion_unit_price=Decimal("0.002"), + completion_price_unit=Decimal("1000"), + completion_price=Decimal("0.00004"), + total_tokens=50, + total_price=Decimal("0.00007"), + currency="USD", + latency=0.5, + ) - node._fetch_model_config = get_mocked_fetch_model_config( - provider="langgenius/openai/openai", - model="gpt-3.5-turbo", - mode="chat", - credentials=credentials, - ) + mock_message = AssistantPromptMessage(content="Test response: sunny weather and what's the weather today?") + + mock_llm_result = LLMResult( + model="gpt-3.5-turbo", + prompt_messages=[], + message=mock_message, + usage=mock_usage, + ) + + # Create a simple mock model instance that doesn't call real providers + mock_model_instance = MagicMock() + mock_model_instance.invoke_llm.return_value = mock_llm_result + + # Create a simple mock model config with required attributes + mock_model_config = MagicMock() + mock_model_config.mode = "chat" + mock_model_config.provider = "openai" + mock_model_config.model = "gpt-3.5-turbo" + mock_model_config.provider_model_bundle.configuration.tenant_id = "9d2074fc-6f86-45a9-b09d-6ecc63b9056b" + + # Mock the _fetch_model_config method + def mock_fetch_model_config_func(_node_data_model): + return mock_model_instance, mock_model_config + + # Also mock ModelManager.get_model_instance to avoid database calls + def mock_get_model_instance(_self, **kwargs): + return mock_model_instance - # execute node - result = node._run() + with ( + patch.object(node, "_fetch_model_config", mock_fetch_model_config_func), + patch("core.model_manager.ModelManager.get_model_instance", mock_get_model_instance), + ): + # execute node + result = node._run() - for item in result: - if isinstance(item, RunCompletedEvent): - assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert item.run_result.process_data is not None - assert "sunny" in json.dumps(item.run_result.process_data) - assert "what's the weather today?" in json.dumps(item.run_result.process_data) + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.process_data is not None + assert "sunny" in json.dumps(item.run_result.process_data) + assert "what's the weather today?" in json.dumps(item.run_result.process_data) def test_extract_json(): diff --git a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py index 5c6bb82024..e89e03ae86 100644 --- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py +++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py @@ -7,6 +7,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.model_runtime.entities import AssistantPromptMessage from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -17,7 +18,7 @@ from models.enums import UserFrom from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config """FOR MOCK FIXTURES, DO NOT REMOVE""" -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock diff --git a/api/tests/integration_tests/workflow/nodes/test_template_transform.py b/api/tests/integration_tests/workflow/nodes/test_template_transform.py index 51d61a95ea..a5f2677a59 100644 --- a/api/tests/integration_tests/workflow/nodes/test_template_transform.py +++ b/api/tests/integration_tests/workflow/nodes/test_template_transform.py @@ -5,13 +5,14 @@ import pytest from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState from core.workflow.nodes.template_transform.template_transform_node import TemplateTransformNode from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock diff --git a/api/tests/integration_tests/workflow/nodes/test_tool.py b/api/tests/integration_tests/workflow/nodes/test_tool.py index 5a569a5983..039beedafe 100644 --- a/api/tests/integration_tests/workflow/nodes/test_tool.py +++ b/api/tests/integration_tests/workflow/nodes/test_tool.py @@ -5,6 +5,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.tools.utils.configuration import ToolParameterConfigurationManager from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -12,7 +13,7 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime from core.workflow.nodes.event.event import RunCompletedEvent from core.workflow.nodes.tool.tool_node import ToolNode from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def init_tool_node(config: dict): diff --git a/api/tests/unit_tests/core/helper/test_marketplace.py b/api/tests/unit_tests/core/helper/test_marketplace.py deleted file mode 100644 index 6ccce7ac9f..0000000000 --- a/api/tests/unit_tests/core/helper/test_marketplace.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.helper.marketplace import download_plugin_pkg - - -def test_download_plugin_pkg(): - pkg = download_plugin_pkg("langgenius/bing:0.0.1@e58735424d2104f208c2bd683c5142e0332045b425927067acf432b26f3d970b") - assert pkg is not None - assert len(pkg) > 0 diff --git a/api/tests/unit_tests/core/prompt/test_extract_thread_messages.py b/api/tests/unit_tests/core/prompt/test_extract_thread_messages.py index ba3c1eb5e0..e3e500e310 100644 --- a/api/tests/unit_tests/core/prompt/test_extract_thread_messages.py +++ b/api/tests/unit_tests/core/prompt/test_extract_thread_messages.py @@ -4,7 +4,7 @@ from constants import UUID_NIL from core.prompt.utils.extract_thread_messages import extract_thread_messages -class TestMessage: +class MockMessage: def __init__(self, id, parent_message_id): self.id = id self.parent_message_id = parent_message_id @@ -14,7 +14,7 @@ class TestMessage: def test_extract_thread_messages_single_message(): - messages = [TestMessage(str(uuid4()), UUID_NIL)] + messages = [MockMessage(str(uuid4()), UUID_NIL)] result = extract_thread_messages(messages) assert len(result) == 1 assert result[0] == messages[0] @@ -23,11 +23,11 @@ def test_extract_thread_messages_single_message(): def test_extract_thread_messages_linear_thread(): id1, id2, id3, id4, id5 = str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()) messages = [ - TestMessage(id5, id4), - TestMessage(id4, id3), - TestMessage(id3, id2), - TestMessage(id2, id1), - TestMessage(id1, UUID_NIL), + MockMessage(id5, id4), + MockMessage(id4, id3), + MockMessage(id3, id2), + MockMessage(id2, id1), + MockMessage(id1, UUID_NIL), ] result = extract_thread_messages(messages) assert len(result) == 5 @@ -37,10 +37,10 @@ def test_extract_thread_messages_linear_thread(): def test_extract_thread_messages_branched_thread(): id1, id2, id3, id4 = str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()) messages = [ - TestMessage(id4, id2), - TestMessage(id3, id2), - TestMessage(id2, id1), - TestMessage(id1, UUID_NIL), + MockMessage(id4, id2), + MockMessage(id3, id2), + MockMessage(id2, id1), + MockMessage(id1, UUID_NIL), ] result = extract_thread_messages(messages) assert len(result) == 3 @@ -56,9 +56,9 @@ def test_extract_thread_messages_empty_list(): def test_extract_thread_messages_partially_loaded(): id0, id1, id2, id3 = str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()) messages = [ - TestMessage(id3, id2), - TestMessage(id2, id1), - TestMessage(id1, id0), + MockMessage(id3, id2), + MockMessage(id2, id1), + MockMessage(id1, id0), ] result = extract_thread_messages(messages) assert len(result) == 3 @@ -68,9 +68,9 @@ def test_extract_thread_messages_partially_loaded(): def test_extract_thread_messages_legacy_messages(): id1, id2, id3 = str(uuid4()), str(uuid4()), str(uuid4()) messages = [ - TestMessage(id3, UUID_NIL), - TestMessage(id2, UUID_NIL), - TestMessage(id1, UUID_NIL), + MockMessage(id3, UUID_NIL), + MockMessage(id2, UUID_NIL), + MockMessage(id1, UUID_NIL), ] result = extract_thread_messages(messages) assert len(result) == 3 @@ -80,11 +80,11 @@ def test_extract_thread_messages_legacy_messages(): def test_extract_thread_messages_mixed_with_legacy_messages(): id1, id2, id3, id4, id5 = str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()), str(uuid4()) messages = [ - TestMessage(id5, id4), - TestMessage(id4, id2), - TestMessage(id3, id2), - TestMessage(id2, UUID_NIL), - TestMessage(id1, UUID_NIL), + MockMessage(id5, id4), + MockMessage(id4, id2), + MockMessage(id3, id2), + MockMessage(id2, UUID_NIL), + MockMessage(id1, UUID_NIL), ] result = extract_thread_messages(messages) assert len(result) == 4 diff --git a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py index bd414c88f4..48cc8a7e1c 100644 --- a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py +++ b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py @@ -1,5 +1,5 @@ import pytest -from pydantic.error_wrappers import ValidationError +from pydantic import ValidationError from core.rag.datasource.vdb.milvus.milvus_vector import MilvusConfig diff --git a/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py b/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py index 15a9e8e9f4..fa6fc3ba32 100644 --- a/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py +++ b/api/tests/unit_tests/core/tools/workflow_as_tool/test_tool.py @@ -34,13 +34,13 @@ def test_workflow_tool_should_raise_tool_invoke_error_when_result_has_error_fiel # needs to patch those methods to avoid database access. monkeypatch.setattr(tool, "_get_app", lambda *args, **kwargs: None) monkeypatch.setattr(tool, "_get_workflow", lambda *args, **kwargs: None) - monkeypatch.setattr(tool, "_get_user", lambda *args, **kwargs: None) # replace `WorkflowAppGenerator.generate` 's return value. monkeypatch.setattr( "core.app.apps.workflow.app_generator.WorkflowAppGenerator.generate", lambda *args, **kwargs: {"data": {"error": "oops"}}, ) + monkeypatch.setattr("flask_login.current_user", lambda *args, **kwargs: None) with pytest.raises(ToolInvokeError) as exc_info: # WorkflowTool always returns a generator, so we need to iterate to diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py b/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py index f3dbd1836b..7535ec4866 100644 --- a/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py +++ b/api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py @@ -4,8 +4,9 @@ import pytest from flask import Flask from core.app.entities.app_invoke_entities import InvokeFrom -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult, WorkflowNodeExecutionMetadataKey from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.event import ( BaseNodeEvent, @@ -25,7 +26,7 @@ from core.workflow.nodes.event import RunCompletedEvent, RunStreamChunkEvent from core.workflow.nodes.llm.node import LLMNode from core.workflow.nodes.question_classifier.question_classifier_node import QuestionClassifierNode from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType @pytest.fixture @@ -201,9 +202,9 @@ def test_run_parallel_in_workflow(mock_close, mock_remove): process_data={}, outputs={}, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: 1, - NodeRunMetadataKey.TOTAL_PRICE: 1, - NodeRunMetadataKey.CURRENCY: "USD", + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 1, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: 1, + WorkflowNodeExecutionMetadataKey.CURRENCY: "USD", }, ) ) @@ -836,9 +837,9 @@ def test_condition_parallel_correct_output(mock_close, mock_remove, app): process_data={}, outputs={"class_name": "financial", "class_id": "1"}, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: 1, - NodeRunMetadataKey.TOTAL_PRICE: 1, - NodeRunMetadataKey.CURRENCY: "USD", + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 1, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: 1, + WorkflowNodeExecutionMetadataKey.CURRENCY: "USD", }, edge_source_handle="1", ) @@ -852,9 +853,9 @@ def test_condition_parallel_correct_output(mock_close, mock_remove, app): process_data={}, outputs={"result": "dify 123"}, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: 1, - NodeRunMetadataKey.TOTAL_PRICE: 1, - NodeRunMetadataKey.CURRENCY: "USD", + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 1, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: 1, + WorkflowNodeExecutionMetadataKey.CURRENCY: "USD", }, ) ) diff --git a/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py b/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py index 0369f3fa44..b7f78d91fa 100644 --- a/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py +++ b/api/tests/unit_tests/core/workflow/nodes/answer/test_answer.py @@ -4,6 +4,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -11,7 +12,7 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime from core.workflow.nodes.answer.answer_node import AnswerNode from extensions.ext_database import db from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def test_execute_answer(): diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py index 58b910e17b..d066fc1e33 100644 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py +++ b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_executor.py @@ -246,7 +246,9 @@ def test_executor_with_form_data(): assert "multipart/form-data" in executor.headers["Content-Type"] assert executor.params == [] assert executor.json is None - assert executor.files is None + # '__multipart_placeholder__' is expected when no file inputs exist, + # to ensure the request is treated as multipart/form-data by the backend. + assert executor.files == [("__multipart_placeholder__", ("", b"", "application/octet-stream"))] assert executor.content is None # Check that the form data is correctly loaded in executor.data diff --git a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py index 2073d355f0..7fd32a4826 100644 --- a/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/http_request/test_http_request_node.py @@ -4,6 +4,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom from core.file import File, FileTransferMethod, FileType from core.variables import ArrayFileVariable, FileVariable from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState from core.workflow.nodes.answer import AnswerStreamGenerateRoute from core.workflow.nodes.end import EndStreamParam @@ -15,7 +16,7 @@ from core.workflow.nodes.http_request import ( HttpRequestNodeData, ) from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def test_http_request_node_binary_file(monkeypatch): diff --git a/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py b/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py index 29bd4d6c6c..6d854c950d 100644 --- a/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py +++ b/api/tests/unit_tests/core/workflow/nodes/iteration/test_iteration.py @@ -5,6 +5,7 @@ from unittest.mock import patch from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -14,7 +15,7 @@ from core.workflow.nodes.iteration.entities import ErrorHandleMode from core.workflow.nodes.iteration.iteration_node import IterationNode from core.workflow.nodes.template_transform.template_transform_node import TemplateTransformNode from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def test_run(): diff --git a/api/tests/unit_tests/core/workflow/nodes/test_answer.py b/api/tests/unit_tests/core/workflow/nodes/test_answer.py index 2f0aa28b48..abc822e98b 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_answer.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_answer.py @@ -4,6 +4,7 @@ from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -11,7 +12,7 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime from core.workflow.nodes.answer.answer_node import AnswerNode from extensions.ext_database import db from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def test_execute_answer(): diff --git a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py index 111c647d9c..ff60d5974b 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py @@ -1,7 +1,8 @@ from unittest.mock import patch from core.app.entities.app_invoke_entities import InvokeFrom -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import NodeRunResult, WorkflowNodeExecutionMetadataKey +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.event import ( GraphRunPartialSucceededEvent, @@ -14,7 +15,7 @@ from core.workflow.graph_engine.graph_engine import GraphEngine from core.workflow.nodes.event.event import RunCompletedEvent, RunStreamChunkEvent from core.workflow.nodes.llm.node import LLMNode from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType class ContinueOnErrorTestHelper: @@ -542,9 +543,9 @@ def test_stream_output_with_fail_branch_continue_on_error(): process_data={}, outputs={}, metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: 1, - NodeRunMetadataKey.TOTAL_PRICE: 1, - NodeRunMetadataKey.CURRENCY: "USD", + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 1, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: 1, + WorkflowNodeExecutionMetadataKey.CURRENCY: "USD", }, ) ) diff --git a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py index de739ce9f5..4cb1aa93f9 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_document_extractor_node.py @@ -1,5 +1,7 @@ +import io from unittest.mock import Mock, patch +import pandas as pd import pytest from docx.oxml.text.paragraph import CT_P @@ -7,14 +9,15 @@ from core.file import File, FileTransferMethod from core.variables import ArrayFileSegment from core.variables.variables import StringVariable from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.document_extractor import DocumentExtractorNode, DocumentExtractorNodeData from core.workflow.nodes.document_extractor.node import ( _extract_text_from_docx, + _extract_text_from_excel, _extract_text_from_pdf, _extract_text_from_plain_text, ) from core.workflow.nodes.enums import NodeType -from models.workflow import WorkflowNodeExecutionStatus @pytest.fixture @@ -149,7 +152,7 @@ def test_extract_text_from_plain_text_non_utf8(): temp_file.write(non_utf8_content) temp_file.seek(0) text = _extract_text_from_plain_text(temp_file.read()) - assert text == "Hello, world." + assert text == "Hello, world©." @patch("pypdfium2.PdfDocument") @@ -182,3 +185,147 @@ def test_extract_text_from_docx(mock_document): def test_node_type(document_extractor_node): assert document_extractor_node._node_type == NodeType.DOCUMENT_EXTRACTOR + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_single_sheet(mock_excel_file): + """Test extracting text from Excel file with single sheet and multiline content.""" + + # Test multi-line cell + data = {"Name\nwith\nnewline": ["John\nDoe", "Jane\nSmith"], "Age": [25, 30]} + + df = pd.DataFrame(data) + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["Sheet1"] + mock_excel_instance.parse.return_value = df + mock_excel_file.return_value = mock_excel_instance + + file_content = b"fake_excel_content" + result = _extract_text_from_excel(file_content) + expected_manual = "| Name with newline | Age |\n| ----------------- | --- |\n\ +| John Doe | 25 |\n| Jane Smith | 30 |\n\n" + + assert expected_manual == result + mock_excel_instance.parse.assert_called_once_with(sheet_name="Sheet1") + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_multiple_sheets(mock_excel_file): + """Test extracting text from Excel file with multiple sheets and multiline content.""" + + # Test multi-line cell + data1 = {"Product\nName": ["Apple\nRed", "Banana\nYellow"], "Price": [1.50, 0.99]} + df1 = pd.DataFrame(data1) + + data2 = {"City\nName": ["New\nYork", "Los\nAngeles"], "Population": [8000000, 3900000]} + df2 = pd.DataFrame(data2) + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["Products", "Cities"] + mock_excel_instance.parse.side_effect = [df1, df2] + mock_excel_file.return_value = mock_excel_instance + + file_content = b"fake_excel_content_multiple_sheets" + result = _extract_text_from_excel(file_content) + + expected_manual1 = "| Product Name | Price |\n| ------------ | ----- |\n\ +| Apple Red | 1.5 |\n| Banana Yellow | 0.99 |\n\n" + expected_manual2 = "| City Name | Population |\n| --------- | ---------- |\n\ +| New York | 8000000 |\n| Los Angeles | 3900000 |\n\n" + + assert expected_manual1 in result + assert expected_manual2 in result + + assert mock_excel_instance.parse.call_count == 2 + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_empty_sheets(mock_excel_file): + """Test extracting text from Excel file with empty sheets.""" + + # Empty excel + df = pd.DataFrame() + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["EmptySheet"] + mock_excel_instance.parse.return_value = df + mock_excel_file.return_value = mock_excel_instance + + file_content = b"fake_excel_empty_content" + result = _extract_text_from_excel(file_content) + + expected = "| |\n| |\n\n" + assert result == expected + + mock_excel_instance.parse.assert_called_once_with(sheet_name="EmptySheet") + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_sheet_parse_error(mock_excel_file): + """Test handling of sheet parsing errors - should continue with other sheets.""" + + # Test error + data = {"Data": ["Test"], "Value": [123]} + df = pd.DataFrame(data) + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["GoodSheet", "BadSheet"] + mock_excel_instance.parse.side_effect = [df, Exception("Parse error")] + mock_excel_file.return_value = mock_excel_instance + + file_content = b"fake_excel_mixed_content" + result = _extract_text_from_excel(file_content) + + expected_manual = "| Data | Value |\n| ---- | ----- |\n| Test | 123 |\n\n" + + assert expected_manual == result + + assert mock_excel_instance.parse.call_count == 2 + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_io_bytesio_usage(mock_excel_file): + """Test that BytesIO is properly used with the file content.""" + + # Test bytesio + data = {"Test": [1], "Data": ["A"]} + df = pd.DataFrame(data) + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["TestSheet"] + mock_excel_instance.parse.return_value = df + mock_excel_file.return_value = mock_excel_instance + + file_content = b"test_excel_bytes" + result = _extract_text_from_excel(file_content) + + mock_excel_file.assert_called_once() + call_arg = mock_excel_file.call_args[0][0] + assert isinstance(call_arg, io.BytesIO) + + expected_manual = "| Test | Data |\n| ---- | ---- |\n| 1 | A |\n\n" + assert expected_manual == result + + +@patch("pandas.ExcelFile") +def test_extract_text_from_excel_all_sheets_fail(mock_excel_file): + """Test when all sheets fail to parse - should return empty string.""" + + # Mock ExcelFile + mock_excel_instance = Mock() + mock_excel_instance.sheet_names = ["BadSheet1", "BadSheet2"] + mock_excel_instance.parse.side_effect = [Exception("Error 1"), Exception("Error 2")] + mock_excel_file.return_value = mock_excel_instance + + file_content = b"fake_excel_all_bad_sheets" + result = _extract_text_from_excel(file_content) + + assert result == "" + + assert mock_excel_instance.parse.call_count == 2 diff --git a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py index 41e2c5d484..c4e411f9d6 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_if_else.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_if_else.py @@ -6,6 +6,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom from core.file import File, FileTransferMethod, FileType from core.variables import ArrayFileSegment from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams @@ -15,7 +16,7 @@ from core.workflow.nodes.if_else.if_else_node import IfElseNode from core.workflow.utils.condition.entities import Condition, SubCondition, SubVariableCondition from extensions.ext_database import db from models.enums import UserFrom -from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from models.workflow import WorkflowType def test_execute_if_else_result_true(): diff --git a/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py b/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py index 36116d3540..77d42e2692 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_list_operator.py @@ -4,6 +4,7 @@ import pytest from core.file import File, FileTransferMethod, FileType from core.variables import ArrayFileSegment +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.nodes.list_operator.entities import ( ExtractConfig, FilterBy, @@ -14,7 +15,6 @@ from core.workflow.nodes.list_operator.entities import ( ) from core.workflow.nodes.list_operator.exc import InvalidKeyError from core.workflow.nodes.list_operator.node import ListOperatorNode, _get_file_extract_string_func -from models.workflow import WorkflowNodeExecutionStatus @pytest.fixture diff --git a/api/tests/unit_tests/core/workflow/nodes/tool/test_tool_node.py b/api/tests/unit_tests/core/workflow/nodes/tool/test_tool_node.py index f593510830..e121f6338c 100644 --- a/api/tests/unit_tests/core/workflow/nodes/tool/test_tool_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/tool/test_tool_node.py @@ -7,6 +7,7 @@ from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderTyp from core.tools.errors import ToolInvokeError from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionStatus from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState from core.workflow.nodes.answer import AnswerStreamGenerateRoute from core.workflow.nodes.end import EndStreamParam @@ -14,7 +15,7 @@ from core.workflow.nodes.enums import ErrorStrategy from core.workflow.nodes.event import RunCompletedEvent from core.workflow.nodes.tool import ToolNode from core.workflow.nodes.tool.entities import ToolNodeData -from models import UserFrom, WorkflowNodeExecutionStatus, WorkflowType +from models import UserFrom, WorkflowType def _create_tool_node(): diff --git a/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py b/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py index 94b9d3e2c6..fddc182594 100644 --- a/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py +++ b/api/tests/unit_tests/core/workflow/test_workflow_cycle_manager.py @@ -1,52 +1,79 @@ import json -import time from datetime import UTC, datetime -from unittest.mock import MagicMock, patch +from unittest.mock import MagicMock import pytest from sqlalchemy.orm import Session +from core.app.app_config.entities import AppAdditionalFeatures, WorkflowUIBasedAppConfig from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom from core.app.entities.queue_entities import ( QueueNodeFailedEvent, QueueNodeStartedEvent, QueueNodeSucceededEvent, ) +from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType +from core.workflow.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionMetadataKey, + WorkflowNodeExecutionStatus, +) from core.workflow.enums import SystemVariableKey from core.workflow.nodes import NodeType -from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository -from core.workflow.workflow_cycle_manager import WorkflowCycleManager +from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository +from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository +from core.workflow.workflow_cycle_manager import CycleManagerWorkflowInfo, WorkflowCycleManager from models.enums import CreatorUserRole -from models.workflow import ( - Workflow, - WorkflowNodeExecutionStatus, - WorkflowRun, - WorkflowRunStatus, -) +from models.model import AppMode +from models.workflow import Workflow, WorkflowRun @pytest.fixture -def mock_app_generate_entity(): - entity = MagicMock(spec=AdvancedChatAppGenerateEntity) - entity.inputs = {"query": "test query"} - entity.invoke_from = InvokeFrom.WEB_APP - # Create app_config as a separate mock - app_config = MagicMock() - app_config.tenant_id = "test-tenant-id" - app_config.app_id = "test-app-id" - entity.app_config = app_config +def real_app_generate_entity(): + additional_features = AppAdditionalFeatures( + file_upload=None, + opening_statement=None, + suggested_questions=[], + suggested_questions_after_answer=False, + show_retrieve_source=False, + more_like_this=False, + speech_to_text=False, + text_to_speech=None, + trace_config=None, + ) + + app_config = WorkflowUIBasedAppConfig( + tenant_id="test-tenant-id", + app_id="test-app-id", + app_mode=AppMode.WORKFLOW, + additional_features=additional_features, + workflow_id="test-workflow-id", + ) + + entity = AdvancedChatAppGenerateEntity( + task_id="test-task-id", + app_config=app_config, + inputs={"query": "test query"}, + files=[], + user_id="test-user-id", + stream=False, + invoke_from=InvokeFrom.WEB_APP, + query="test query", + conversation_id="test-conversation-id", + ) + return entity @pytest.fixture -def mock_workflow_system_variables(): +def real_workflow_system_variables(): return { SystemVariableKey.QUERY: "test query", SystemVariableKey.CONVERSATION_ID: "test-conversation-id", SystemVariableKey.USER_ID: "test-user-id", SystemVariableKey.APP_ID: "test-app-id", SystemVariableKey.WORKFLOW_ID: "test-workflow-id", - SystemVariableKey.WORKFLOW_RUN_ID: "test-workflow-run-id", + SystemVariableKey.WORKFLOW_EXECUTION_ID: "test-workflow-run-id", } @@ -59,10 +86,45 @@ def mock_node_execution_repository(): @pytest.fixture -def workflow_cycle_manager(mock_app_generate_entity, mock_workflow_system_variables, mock_node_execution_repository): +def mock_workflow_execution_repository(): + repo = MagicMock(spec=WorkflowExecutionRepository) + repo.get.return_value = None + return repo + + +@pytest.fixture +def real_workflow_entity(): + return CycleManagerWorkflowInfo( + workflow_id="test-workflow-id", # Matches ID used in other fixtures + workflow_type=WorkflowType.CHAT, + version="1.0.0", + graph_data={ + "nodes": [ + { + "id": "node1", + "type": "chat", # NodeType is a string enum + "name": "Chat Node", + "data": {"model": "gpt-3.5-turbo", "prompt": "test prompt"}, + } + ], + "edges": [], + }, + ) + + +@pytest.fixture +def workflow_cycle_manager( + real_app_generate_entity, + real_workflow_system_variables, + mock_workflow_execution_repository, + mock_node_execution_repository, + real_workflow_entity, +): return WorkflowCycleManager( - application_generate_entity=mock_app_generate_entity, - workflow_system_variables=mock_workflow_system_variables, + application_generate_entity=real_app_generate_entity, + workflow_system_variables=real_workflow_system_variables, + workflow_info=real_workflow_entity, + workflow_execution_repository=mock_workflow_execution_repository, workflow_node_execution_repository=mock_node_execution_repository, ) @@ -74,121 +136,163 @@ def mock_session(): @pytest.fixture -def mock_workflow(): - workflow = MagicMock(spec=Workflow) +def real_workflow(): + workflow = Workflow() workflow.id = "test-workflow-id" workflow.tenant_id = "test-tenant-id" workflow.app_id = "test-app-id" workflow.type = "chat" workflow.version = "1.0" - workflow.graph = json.dumps({"nodes": [], "edges": []}) + + graph_data = {"nodes": [], "edges": []} + workflow.graph = json.dumps(graph_data) + workflow.features = json.dumps({"file_upload": {"enabled": False}}) + workflow.created_by = "test-user-id" + workflow.created_at = datetime.now(UTC).replace(tzinfo=None) + workflow.updated_at = datetime.now(UTC).replace(tzinfo=None) + workflow._environment_variables = "{}" + workflow._conversation_variables = "{}" + return workflow @pytest.fixture -def mock_workflow_run(): - workflow_run = MagicMock(spec=WorkflowRun) +def real_workflow_run(): + workflow_run = WorkflowRun() workflow_run.id = "test-workflow-run-id" workflow_run.tenant_id = "test-tenant-id" workflow_run.app_id = "test-app-id" workflow_run.workflow_id = "test-workflow-id" - workflow_run.status = WorkflowRunStatus.RUNNING + workflow_run.sequence_number = 1 + workflow_run.type = "chat" + workflow_run.triggered_from = "app-run" + workflow_run.version = "1.0" + workflow_run.graph = json.dumps({"nodes": [], "edges": []}) + workflow_run.inputs = json.dumps({"query": "test query"}) + workflow_run.status = WorkflowExecutionStatus.RUNNING + workflow_run.outputs = json.dumps({"answer": "test answer"}) workflow_run.created_by_role = CreatorUserRole.ACCOUNT workflow_run.created_by = "test-user-id" workflow_run.created_at = datetime.now(UTC).replace(tzinfo=None) - workflow_run.inputs_dict = {"query": "test query"} - workflow_run.outputs_dict = {"answer": "test answer"} + return workflow_run def test_init( - workflow_cycle_manager, mock_app_generate_entity, mock_workflow_system_variables, mock_node_execution_repository + workflow_cycle_manager, + real_app_generate_entity, + real_workflow_system_variables, + mock_workflow_execution_repository, + mock_node_execution_repository, ): """Test initialization of WorkflowCycleManager""" - assert workflow_cycle_manager._workflow_run is None - assert workflow_cycle_manager._application_generate_entity == mock_app_generate_entity - assert workflow_cycle_manager._workflow_system_variables == mock_workflow_system_variables + assert workflow_cycle_manager._application_generate_entity == real_app_generate_entity + assert workflow_cycle_manager._workflow_system_variables == real_workflow_system_variables + assert workflow_cycle_manager._workflow_execution_repository == mock_workflow_execution_repository assert workflow_cycle_manager._workflow_node_execution_repository == mock_node_execution_repository -def test_handle_workflow_run_start(workflow_cycle_manager, mock_session, mock_workflow): - """Test _handle_workflow_run_start method""" - # Mock session.scalar to return the workflow and max sequence - mock_session.scalar.side_effect = [mock_workflow, 5] +def test_handle_workflow_run_start(workflow_cycle_manager): + """Test handle_workflow_run_start method""" + # Call the method + workflow_execution = workflow_cycle_manager.handle_workflow_run_start() + + # Verify the result + assert workflow_execution.workflow_id == "test-workflow-id" + + # Verify the workflow_execution_repository.save was called + workflow_cycle_manager._workflow_execution_repository.save.assert_called_once_with(workflow_execution) + + +def test_handle_workflow_run_success(workflow_cycle_manager, mock_workflow_execution_repository): + """Test handle_workflow_run_success method""" + # Create a real WorkflowExecution + + workflow_execution = WorkflowExecution( + id_="test-workflow-run-id", + workflow_id="test-workflow-id", + workflow_version="1.0", + workflow_type=WorkflowType.CHAT, + graph={"nodes": [], "edges": []}, + inputs={"query": "test query"}, + started_at=datetime.now(UTC).replace(tzinfo=None), + ) + + # Mock _get_workflow_execution_or_raise_error to return the real workflow_execution + workflow_cycle_manager._workflow_execution_repository.get.return_value = workflow_execution # Call the method - workflow_run = workflow_cycle_manager._handle_workflow_run_start( - session=mock_session, + result = workflow_cycle_manager.handle_workflow_run_success( + workflow_run_id="test-workflow-run-id", + total_tokens=100, + total_steps=5, + outputs={"answer": "test answer"}, + ) + + # Verify the result + assert result == workflow_execution + assert result.status == WorkflowExecutionStatus.SUCCEEDED + assert result.outputs == {"answer": "test answer"} + assert result.total_tokens == 100 + assert result.total_steps == 5 + assert result.finished_at is not None + + +def test_handle_workflow_run_failed(workflow_cycle_manager, mock_workflow_execution_repository): + """Test handle_workflow_run_failed method""" + # Create a real WorkflowExecution + + workflow_execution = WorkflowExecution( + id_="test-workflow-run-id", workflow_id="test-workflow-id", - user_id="test-user-id", - created_by_role=CreatorUserRole.ACCOUNT, + workflow_version="1.0", + workflow_type=WorkflowType.CHAT, + graph={"nodes": [], "edges": []}, + inputs={"query": "test query"}, + started_at=datetime.now(UTC).replace(tzinfo=None), + ) + + # Mock _get_workflow_execution_or_raise_error to return the real workflow_execution + workflow_cycle_manager._workflow_execution_repository.get.return_value = workflow_execution + + # Mock get_running_executions to return an empty list + workflow_cycle_manager._workflow_node_execution_repository.get_running_executions.return_value = [] + + # Call the method + result = workflow_cycle_manager.handle_workflow_run_failed( + workflow_run_id="test-workflow-run-id", + total_tokens=50, + total_steps=3, + status=WorkflowExecutionStatus.FAILED, + error_message="Test error message", ) # Verify the result - assert workflow_run.tenant_id == mock_workflow.tenant_id - assert workflow_run.app_id == mock_workflow.app_id - assert workflow_run.workflow_id == mock_workflow.id - assert workflow_run.sequence_number == 6 # max_sequence + 1 - assert workflow_run.status == WorkflowRunStatus.RUNNING - assert workflow_run.created_by_role == CreatorUserRole.ACCOUNT - assert workflow_run.created_by == "test-user-id" - - # Verify session.add was called - mock_session.add.assert_called_once_with(workflow_run) - - -def test_handle_workflow_run_success(workflow_cycle_manager, mock_session, mock_workflow_run): - """Test _handle_workflow_run_success method""" - # Mock _get_workflow_run to return the mock_workflow_run - with patch.object(workflow_cycle_manager, "_get_workflow_run", return_value=mock_workflow_run): - # Call the method - result = workflow_cycle_manager._handle_workflow_run_success( - session=mock_session, - workflow_run_id="test-workflow-run-id", - start_at=time.perf_counter() - 10, # 10 seconds ago - total_tokens=100, - total_steps=5, - outputs={"answer": "test answer"}, - ) - - # Verify the result - assert result == mock_workflow_run - assert result.status == WorkflowRunStatus.SUCCEEDED - assert result.outputs == json.dumps({"answer": "test answer"}) - assert result.total_tokens == 100 - assert result.total_steps == 5 - assert result.finished_at is not None - - -def test_handle_workflow_run_failed(workflow_cycle_manager, mock_session, mock_workflow_run): - """Test _handle_workflow_run_failed method""" - # Mock _get_workflow_run to return the mock_workflow_run - with patch.object(workflow_cycle_manager, "_get_workflow_run", return_value=mock_workflow_run): - # Mock get_running_executions to return an empty list - workflow_cycle_manager._workflow_node_execution_repository.get_running_executions.return_value = [] - - # Call the method - result = workflow_cycle_manager._handle_workflow_run_failed( - session=mock_session, - workflow_run_id="test-workflow-run-id", - start_at=time.perf_counter() - 10, # 10 seconds ago - total_tokens=50, - total_steps=3, - status=WorkflowRunStatus.FAILED, - error="Test error message", - ) - - # Verify the result - assert result == mock_workflow_run - assert result.status == WorkflowRunStatus.FAILED.value - assert result.error == "Test error message" - assert result.total_tokens == 50 - assert result.total_steps == 3 - assert result.finished_at is not None - - -def test_handle_node_execution_start(workflow_cycle_manager, mock_workflow_run): - """Test _handle_node_execution_start method""" + assert result == workflow_execution + assert result.status == WorkflowExecutionStatus.FAILED + assert result.error_message == "Test error message" + assert result.total_tokens == 50 + assert result.total_steps == 3 + assert result.finished_at is not None + + +def test_handle_node_execution_start(workflow_cycle_manager, mock_workflow_execution_repository): + """Test handle_node_execution_start method""" + # Create a real WorkflowExecution + + workflow_execution = WorkflowExecution( + id_="test-workflow-execution-id", + workflow_id="test-workflow-id", + workflow_version="1.0", + workflow_type=WorkflowType.CHAT, + graph={"nodes": [], "edges": []}, + inputs={"query": "test query"}, + started_at=datetime.now(UTC).replace(tzinfo=None), + ) + + # Mock _get_workflow_execution_or_raise_error to return the real workflow_execution + workflow_cycle_manager._workflow_execution_repository.get.return_value = workflow_execution + # Create a mock event event = MagicMock(spec=QueueNodeStartedEvent) event.node_execution_id = "test-node-execution-id" @@ -207,129 +311,169 @@ def test_handle_node_execution_start(workflow_cycle_manager, mock_workflow_run): event.in_loop_id = "test-loop-id" # Call the method - result = workflow_cycle_manager._handle_node_execution_start( - workflow_run=mock_workflow_run, + result = workflow_cycle_manager.handle_node_execution_start( + workflow_execution_id=workflow_execution.id_, event=event, ) # Verify the result - # NodeExecution doesn't have tenant_id attribute, it's handled at repository level - # assert result.tenant_id == mock_workflow_run.tenant_id - # assert result.app_id == mock_workflow_run.app_id - assert result.workflow_id == mock_workflow_run.workflow_id - assert result.workflow_run_id == mock_workflow_run.id + assert result.workflow_id == workflow_execution.workflow_id + assert result.workflow_execution_id == workflow_execution.id_ assert result.node_execution_id == event.node_execution_id assert result.node_id == event.node_id assert result.node_type == event.node_type assert result.title == event.node_data.title - assert result.status == WorkflowNodeExecutionStatus.RUNNING.value - # NodeExecution doesn't have created_by_role and created_by attributes, they're handled at repository level - # assert result.created_by_role == mock_workflow_run.created_by_role - # assert result.created_by == mock_workflow_run.created_by + assert result.status == WorkflowNodeExecutionStatus.RUNNING # Verify save was called workflow_cycle_manager._workflow_node_execution_repository.save.assert_called_once_with(result) -def test_get_workflow_run(workflow_cycle_manager, mock_session, mock_workflow_run): - """Test _get_workflow_run method""" - # Mock session.scalar to return the workflow run - mock_session.scalar.return_value = mock_workflow_run +def test_get_workflow_execution_or_raise_error(workflow_cycle_manager, mock_workflow_execution_repository): + """Test _get_workflow_execution_or_raise_error method""" + # Create a real WorkflowExecution - # Call the method - result = workflow_cycle_manager._get_workflow_run( - session=mock_session, - workflow_run_id="test-workflow-run-id", + workflow_execution = WorkflowExecution( + id_="test-workflow-run-id", + workflow_id="test-workflow-id", + workflow_version="1.0", + workflow_type=WorkflowType.CHAT, + graph={"nodes": [], "edges": []}, + inputs={"query": "test query"}, + started_at=datetime.now(UTC).replace(tzinfo=None), ) + # Mock the repository get method to return the real execution + workflow_cycle_manager._workflow_execution_repository.get.return_value = workflow_execution + + # Call the method + result = workflow_cycle_manager._get_workflow_execution_or_raise_error("test-workflow-run-id") + # Verify the result - assert result == mock_workflow_run - assert workflow_cycle_manager._workflow_run == mock_workflow_run + assert result == workflow_execution + + # Test error case + workflow_cycle_manager._workflow_execution_repository.get.return_value = None + + # Expect an error when execution is not found + with pytest.raises(ValueError): + workflow_cycle_manager._get_workflow_execution_or_raise_error("non-existent-id") def test_handle_workflow_node_execution_success(workflow_cycle_manager): - """Test _handle_workflow_node_execution_success method""" + """Test handle_workflow_node_execution_success method""" # Create a mock event event = MagicMock(spec=QueueNodeSucceededEvent) event.node_execution_id = "test-node-execution-id" event.inputs = {"input": "test input"} event.process_data = {"process": "test process"} event.outputs = {"output": "test output"} - event.execution_metadata = {"metadata": "test metadata"} + event.execution_metadata = {WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 100} event.start_at = datetime.now(UTC).replace(tzinfo=None) - # Create a mock node execution - node_execution = MagicMock() - node_execution.node_execution_id = "test-node-execution-id" + # Create a real node execution + + node_execution = WorkflowNodeExecution( + id="test-node-execution-record-id", + node_execution_id="test-node-execution-id", + workflow_id="test-workflow-id", + workflow_execution_id="test-workflow-run-id", + index=1, + node_id="test-node-id", + node_type=NodeType.LLM, + title="Test Node", + created_at=datetime.now(UTC).replace(tzinfo=None), + ) # Mock the repository to return the node execution workflow_cycle_manager._workflow_node_execution_repository.get_by_node_execution_id.return_value = node_execution # Call the method - result = workflow_cycle_manager._handle_workflow_node_execution_success( + result = workflow_cycle_manager.handle_workflow_node_execution_success( event=event, ) # Verify the result assert result == node_execution - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED.value + assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED # Verify save was called workflow_cycle_manager._workflow_node_execution_repository.save.assert_called_once_with(node_execution) -def test_handle_workflow_run_partial_success(workflow_cycle_manager, mock_session, mock_workflow_run): - """Test _handle_workflow_run_partial_success method""" - # Mock _get_workflow_run to return the mock_workflow_run - with patch.object(workflow_cycle_manager, "_get_workflow_run", return_value=mock_workflow_run): - # Call the method - result = workflow_cycle_manager._handle_workflow_run_partial_success( - session=mock_session, - workflow_run_id="test-workflow-run-id", - start_at=time.perf_counter() - 10, # 10 seconds ago - total_tokens=75, - total_steps=4, - outputs={"partial_answer": "test partial answer"}, - exceptions_count=2, - ) - - # Verify the result - assert result == mock_workflow_run - assert result.status == WorkflowRunStatus.PARTIAL_SUCCEEDED.value - assert result.outputs == json.dumps({"partial_answer": "test partial answer"}) - assert result.total_tokens == 75 - assert result.total_steps == 4 - assert result.exceptions_count == 2 - assert result.finished_at is not None +def test_handle_workflow_run_partial_success(workflow_cycle_manager, mock_workflow_execution_repository): + """Test handle_workflow_run_partial_success method""" + # Create a real WorkflowExecution + + workflow_execution = WorkflowExecution( + id_="test-workflow-run-id", + workflow_id="test-workflow-id", + workflow_version="1.0", + workflow_type=WorkflowType.CHAT, + graph={"nodes": [], "edges": []}, + inputs={"query": "test query"}, + started_at=datetime.now(UTC).replace(tzinfo=None), + ) + + # Mock _get_workflow_execution_or_raise_error to return the real workflow_execution + workflow_cycle_manager._workflow_execution_repository.get.return_value = workflow_execution + + # Call the method + result = workflow_cycle_manager.handle_workflow_run_partial_success( + workflow_run_id="test-workflow-run-id", + total_tokens=75, + total_steps=4, + outputs={"partial_answer": "test partial answer"}, + exceptions_count=2, + ) + + # Verify the result + assert result == workflow_execution + assert result.status == WorkflowExecutionStatus.PARTIAL_SUCCEEDED + assert result.outputs == {"partial_answer": "test partial answer"} + assert result.total_tokens == 75 + assert result.total_steps == 4 + assert result.exceptions_count == 2 + assert result.finished_at is not None def test_handle_workflow_node_execution_failed(workflow_cycle_manager): - """Test _handle_workflow_node_execution_failed method""" + """Test handle_workflow_node_execution_failed method""" # Create a mock event event = MagicMock(spec=QueueNodeFailedEvent) event.node_execution_id = "test-node-execution-id" event.inputs = {"input": "test input"} event.process_data = {"process": "test process"} event.outputs = {"output": "test output"} - event.execution_metadata = {"metadata": "test metadata"} + event.execution_metadata = {WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 100} event.start_at = datetime.now(UTC).replace(tzinfo=None) event.error = "Test error message" - # Create a mock node execution - node_execution = MagicMock() - node_execution.node_execution_id = "test-node-execution-id" + # Create a real node execution + + node_execution = WorkflowNodeExecution( + id="test-node-execution-record-id", + node_execution_id="test-node-execution-id", + workflow_id="test-workflow-id", + workflow_execution_id="test-workflow-run-id", + index=1, + node_id="test-node-id", + node_type=NodeType.LLM, + title="Test Node", + created_at=datetime.now(UTC).replace(tzinfo=None), + ) # Mock the repository to return the node execution workflow_cycle_manager._workflow_node_execution_repository.get_by_node_execution_id.return_value = node_execution # Call the method - result = workflow_cycle_manager._handle_workflow_node_execution_failed( + result = workflow_cycle_manager.handle_workflow_node_execution_failed( event=event, ) # Verify the result assert result == node_execution - assert result.status == WorkflowNodeExecutionStatus.FAILED.value + assert result.status == WorkflowNodeExecutionStatus.FAILED assert result.error == "Test error message" # Verify save was called diff --git a/api/tests/unit_tests/models/test_workflow.py b/api/tests/unit_tests/models/test_workflow.py index fe56f18f1b..b79e95c7ed 100644 --- a/api/tests/unit_tests/models/test_workflow.py +++ b/api/tests/unit_tests/models/test_workflow.py @@ -1,14 +1,14 @@ +import json from unittest import mock from uuid import uuid4 -import contexts from constants import HIDDEN_VALUE from core.variables import FloatVariable, IntegerVariable, SecretVariable, StringVariable -from models.workflow import Workflow +from models.workflow import Workflow, WorkflowNodeExecutionModel def test_environment_variables(): - contexts.tenant_id.set("tenant_id") + # tenant_id context variable removed - using current_user.current_tenant_id directly # Create a Workflow instance workflow = Workflow( @@ -37,9 +37,14 @@ def test_environment_variables(): {"name": "var4", "value": 3.14, "id": str(uuid4()), "selector": ["env", "var4"]} ) + # Mock current_user as an EndUser + mock_user = mock.Mock() + mock_user.tenant_id = "tenant_id" + with ( mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), + mock.patch("models.workflow.current_user", mock_user), ): # Set the environment_variables property of the Workflow instance variables = [variable1, variable2, variable3, variable4] @@ -50,7 +55,7 @@ def test_environment_variables(): def test_update_environment_variables(): - contexts.tenant_id.set("tenant_id") + # tenant_id context variable removed - using current_user.current_tenant_id directly # Create a Workflow instance workflow = Workflow( @@ -79,9 +84,14 @@ def test_update_environment_variables(): {"name": "var4", "value": 3.14, "id": str(uuid4()), "selector": ["env", "var4"]} ) + # Mock current_user as an EndUser + mock_user = mock.Mock() + mock_user.tenant_id = "tenant_id" + with ( mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), + mock.patch("models.workflow.current_user", mock_user), ): variables = [variable1, variable2, variable3, variable4] @@ -103,7 +113,7 @@ def test_update_environment_variables(): def test_to_dict(): - contexts.tenant_id.set("tenant_id") + # tenant_id context variable removed - using current_user.current_tenant_id directly # Create a Workflow instance workflow = Workflow( @@ -120,9 +130,14 @@ def test_to_dict(): # Create some EnvironmentVariable instances + # Mock current_user as an EndUser + mock_user = mock.Mock() + mock_user.tenant_id = "tenant_id" + with ( mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), mock.patch("core.helper.encrypter.decrypt_token", return_value="secret"), + mock.patch("models.workflow.current_user", mock_user), ): # Set the environment_variables property of the Workflow instance workflow.environment_variables = [ @@ -137,3 +152,14 @@ def test_to_dict(): workflow_dict = workflow.to_dict(include_secret=True) assert workflow_dict["environment_variables"][0]["value"] == "secret" assert workflow_dict["environment_variables"][1]["value"] == "text" + + +class TestWorkflowNodeExecution: + def test_execution_metadata_dict(self): + node_exec = WorkflowNodeExecutionModel() + node_exec.execution_metadata = None + assert node_exec.execution_metadata_dict == {} + + original = {"a": 1, "b": ["2"]} + node_exec.execution_metadata = json.dumps(original) + assert node_exec.execution_metadata_dict == original diff --git a/api/tests/unit_tests/repositories/workflow_node_execution/test_sqlalchemy_repository.py b/api/tests/unit_tests/repositories/workflow_node_execution/test_sqlalchemy_repository.py index 8c10b272fb..643efb0a0c 100644 --- a/api/tests/unit_tests/repositories/workflow_node_execution/test_sqlalchemy_repository.py +++ b/api/tests/unit_tests/repositories/workflow_node_execution/test_sqlalchemy_repository.py @@ -4,19 +4,24 @@ Unit tests for the SQLAlchemy implementation of WorkflowNodeExecutionRepository. import json from datetime import datetime +from decimal import Decimal from unittest.mock import MagicMock, PropertyMock import pytest from pytest_mock import MockerFixture from sqlalchemy.orm import Session, sessionmaker +from core.model_runtime.utils.encoders import jsonable_encoder from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository -from core.workflow.entities.node_entities import NodeRunMetadataKey -from core.workflow.entities.node_execution_entities import NodeExecution, NodeExecutionStatus +from core.workflow.entities.workflow_node_execution import ( + WorkflowNodeExecution, + WorkflowNodeExecutionMetadataKey, + WorkflowNodeExecutionStatus, +) from core.workflow.nodes.enums import NodeType -from core.workflow.repository.workflow_node_execution_repository import OrderConfig +from core.workflow.repositories.workflow_node_execution_repository import OrderConfig from models.account import Account, Tenant -from models.workflow import WorkflowNodeExecution, WorkflowNodeExecutionStatus, WorkflowNodeExecutionTriggeredFrom +from models.workflow import WorkflowNodeExecutionModel, WorkflowNodeExecutionTriggeredFrom def configure_mock_execution(mock_execution): @@ -80,7 +85,7 @@ def test_save(repository, session): """Test save method.""" session_obj, _ = session # Create a mock execution - execution = MagicMock(spec=WorkflowNodeExecution) + execution = MagicMock(spec=WorkflowNodeExecutionModel) execution.tenant_id = None execution.app_id = None execution.inputs = None @@ -106,7 +111,7 @@ def test_save_with_existing_tenant_id(repository, session): """Test save method with existing tenant_id.""" session_obj, _ = session # Create a mock execution with existing tenant_id - execution = MagicMock(spec=WorkflowNodeExecution) + execution = MagicMock(spec=WorkflowNodeExecutionModel) execution.tenant_id = "existing-tenant" execution.app_id = None execution.inputs = None @@ -115,7 +120,7 @@ def test_save_with_existing_tenant_id(repository, session): execution.metadata = None # Create a modified execution that will be returned by _to_db_model - modified_execution = MagicMock(spec=WorkflowNodeExecution) + modified_execution = MagicMock(spec=WorkflowNodeExecutionModel) modified_execution.tenant_id = "existing-tenant" # Tenant ID should not change modified_execution.app_id = repository._app_id # App ID should be set @@ -142,7 +147,7 @@ def test_get_by_node_execution_id(repository, session, mocker: MockerFixture): mock_stmt.where.return_value = mock_stmt # Create a properly configured mock execution - mock_execution = mocker.MagicMock(spec=WorkflowNodeExecution) + mock_execution = mocker.MagicMock(spec=WorkflowNodeExecutionModel) configure_mock_execution(mock_execution) session_obj.scalar.return_value = mock_execution @@ -174,7 +179,7 @@ def test_get_by_workflow_run(repository, session, mocker: MockerFixture): mock_stmt.order_by.return_value = mock_stmt # Create a properly configured mock execution - mock_execution = mocker.MagicMock(spec=WorkflowNodeExecution) + mock_execution = mocker.MagicMock(spec=WorkflowNodeExecutionModel) configure_mock_execution(mock_execution) session_obj.scalars.return_value.all.return_value = [mock_execution] @@ -207,7 +212,7 @@ def test_get_running_executions(repository, session, mocker: MockerFixture): mock_stmt.where.return_value = mock_stmt # Create a properly configured mock execution - mock_execution = mocker.MagicMock(spec=WorkflowNodeExecution) + mock_execution = mocker.MagicMock(spec=WorkflowNodeExecutionModel) configure_mock_execution(mock_execution) session_obj.scalars.return_value.all.return_value = [mock_execution] @@ -233,7 +238,7 @@ def test_update_via_save(repository, session): """Test updating an existing record via save method.""" session_obj, _ = session # Create a mock execution - execution = MagicMock(spec=WorkflowNodeExecution) + execution = MagicMock(spec=WorkflowNodeExecutionModel) execution.tenant_id = None execution.app_id = None execution.inputs = None @@ -273,7 +278,7 @@ def test_clear(repository, session, mocker: MockerFixture): repository.clear() # Assert delete was called with correct parameters - mock_delete.assert_called_once_with(WorkflowNodeExecution) + mock_delete.assert_called_once_with(WorkflowNodeExecutionModel) mock_stmt.where.assert_called() session_obj.execute.assert_called_once_with(mock_stmt) session_obj.commit.assert_called_once() @@ -282,11 +287,11 @@ def test_clear(repository, session, mocker: MockerFixture): def test_to_db_model(repository): """Test to_db_model method.""" # Create a domain model - domain_model = NodeExecution( + domain_model = WorkflowNodeExecution( id="test-id", workflow_id="test-workflow-id", node_execution_id="test-node-execution-id", - workflow_run_id="test-workflow-run-id", + workflow_execution_id="test-workflow-run-id", index=1, predecessor_node_id="test-predecessor-id", node_id="test-node-id", @@ -295,10 +300,13 @@ def test_to_db_model(repository): inputs={"input_key": "input_value"}, process_data={"process_key": "process_value"}, outputs={"output_key": "output_value"}, - status=NodeExecutionStatus.RUNNING, + status=WorkflowNodeExecutionStatus.RUNNING, error=None, elapsed_time=1.5, - metadata={NodeRunMetadataKey.TOTAL_TOKENS: 100}, + metadata={ + WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: 100, + WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: Decimal("0.0"), + }, created_at=datetime.now(), finished_at=None, ) @@ -307,13 +315,13 @@ def test_to_db_model(repository): db_model = repository.to_db_model(domain_model) # Assert DB model has correct values - assert isinstance(db_model, WorkflowNodeExecution) + assert isinstance(db_model, WorkflowNodeExecutionModel) assert db_model.id == domain_model.id assert db_model.tenant_id == repository._tenant_id assert db_model.app_id == repository._app_id assert db_model.workflow_id == domain_model.workflow_id assert db_model.triggered_from == repository._triggered_from - assert db_model.workflow_run_id == domain_model.workflow_run_id + assert db_model.workflow_run_id == domain_model.workflow_execution_id assert db_model.index == domain_model.index assert db_model.predecessor_node_id == domain_model.predecessor_node_id assert db_model.node_execution_id == domain_model.node_execution_id @@ -324,7 +332,7 @@ def test_to_db_model(repository): assert db_model.inputs_dict == domain_model.inputs assert db_model.process_data_dict == domain_model.process_data assert db_model.outputs_dict == domain_model.outputs - assert db_model.execution_metadata_dict == domain_model.metadata + assert db_model.execution_metadata_dict == jsonable_encoder(domain_model.metadata) assert db_model.status == domain_model.status assert db_model.error == domain_model.error @@ -341,10 +349,10 @@ def test_to_domain_model(repository): inputs_dict = {"input_key": "input_value"} process_data_dict = {"process_key": "process_value"} outputs_dict = {"output_key": "output_value"} - metadata_dict = {str(NodeRunMetadataKey.TOTAL_TOKENS): 100} + metadata_dict = {str(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS): 100} # Create a DB model using our custom subclass - db_model = WorkflowNodeExecution() + db_model = WorkflowNodeExecutionModel() db_model.id = "test-id" db_model.tenant_id = "test-tenant-id" db_model.app_id = "test-app-id" @@ -373,10 +381,10 @@ def test_to_domain_model(repository): domain_model = repository._to_domain_model(db_model) # Assert domain model has correct values - assert isinstance(domain_model, NodeExecution) + assert isinstance(domain_model, WorkflowNodeExecution) assert domain_model.id == db_model.id assert domain_model.workflow_id == db_model.workflow_id - assert domain_model.workflow_run_id == db_model.workflow_run_id + assert domain_model.workflow_execution_id == db_model.workflow_run_id assert domain_model.index == db_model.index assert domain_model.predecessor_node_id == db_model.predecessor_node_id assert domain_model.node_execution_id == db_model.node_execution_id @@ -386,7 +394,7 @@ def test_to_domain_model(repository): assert domain_model.inputs == inputs_dict assert domain_model.process_data == process_data_dict assert domain_model.outputs == outputs_dict - assert domain_model.status == NodeExecutionStatus(db_model.status) + assert domain_model.status == WorkflowNodeExecutionStatus(db_model.status) assert domain_model.error == db_model.error assert domain_model.elapsed_time == db_model.elapsed_time assert domain_model.metadata == metadata_dict diff --git a/api/tests/unit_tests/services/test_dataset_permission.py b/api/tests/unit_tests/services/test_dataset_permission.py new file mode 100644 index 0000000000..066f541c1b --- /dev/null +++ b/api/tests/unit_tests/services/test_dataset_permission.py @@ -0,0 +1,158 @@ +from unittest.mock import Mock, patch + +import pytest + +from models.account import Account, TenantAccountRole +from models.dataset import Dataset, DatasetPermission, DatasetPermissionEnum +from services.dataset_service import DatasetService +from services.errors.account import NoPermissionError + + +class TestDatasetPermissionService: + """Test cases for dataset permission checking functionality""" + + def setup_method(self): + """Set up test fixtures""" + # Mock tenant and user + self.tenant_id = "test-tenant-123" + self.creator_id = "creator-456" + self.normal_user_id = "normal-789" + self.owner_user_id = "owner-999" + + # Mock dataset + self.dataset = Mock(spec=Dataset) + self.dataset.id = "dataset-123" + self.dataset.tenant_id = self.tenant_id + self.dataset.created_by = self.creator_id + + # Mock users + self.creator_user = Mock(spec=Account) + self.creator_user.id = self.creator_id + self.creator_user.current_tenant_id = self.tenant_id + self.creator_user.current_role = TenantAccountRole.EDITOR + + self.normal_user = Mock(spec=Account) + self.normal_user.id = self.normal_user_id + self.normal_user.current_tenant_id = self.tenant_id + self.normal_user.current_role = TenantAccountRole.NORMAL + + self.owner_user = Mock(spec=Account) + self.owner_user.id = self.owner_user_id + self.owner_user.current_tenant_id = self.tenant_id + self.owner_user.current_role = TenantAccountRole.OWNER + + def test_permission_check_different_tenant_should_fail(self): + """Test that users from different tenants cannot access dataset""" + self.normal_user.current_tenant_id = "different-tenant" + + with pytest.raises(NoPermissionError, match="You do not have permission to access this dataset."): + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + + def test_owner_can_access_any_dataset(self): + """Test that tenant owners can access any dataset regardless of permission""" + self.dataset.permission = DatasetPermissionEnum.ONLY_ME + + # Should not raise any exception + DatasetService.check_dataset_permission(self.dataset, self.owner_user) + + def test_only_me_permission_creator_can_access(self): + """Test ONLY_ME permission allows only creator to access""" + self.dataset.permission = DatasetPermissionEnum.ONLY_ME + + # Creator should be able to access + DatasetService.check_dataset_permission(self.dataset, self.creator_user) + + def test_only_me_permission_others_cannot_access(self): + """Test ONLY_ME permission denies access to non-creators""" + self.dataset.permission = DatasetPermissionEnum.ONLY_ME + + with pytest.raises(NoPermissionError, match="You do not have permission to access this dataset."): + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + + def test_all_team_permission_allows_access(self): + """Test ALL_TEAM permission allows any team member to access""" + self.dataset.permission = DatasetPermissionEnum.ALL_TEAM + + # Should not raise any exception for team members + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + DatasetService.check_dataset_permission(self.dataset, self.creator_user) + + @patch("services.dataset_service.db.session") + def test_partial_team_permission_creator_can_access(self, mock_session): + """Test PARTIAL_TEAM permission allows creator to access""" + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + + # Should not raise any exception for creator + DatasetService.check_dataset_permission(self.dataset, self.creator_user) + + # Should not query database for creator + mock_session.query.assert_not_called() + + @patch("services.dataset_service.db.session") + def test_partial_team_permission_with_explicit_permission(self, mock_session): + """Test PARTIAL_TEAM permission allows users with explicit permission""" + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + + # Mock database query to return a permission record + mock_permission = Mock(spec=DatasetPermission) + mock_session.query().filter_by().first.return_value = mock_permission + + # Should not raise any exception + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + + # Verify database was queried correctly + mock_session.query().filter_by.assert_called_with(dataset_id=self.dataset.id, account_id=self.normal_user.id) + + @patch("services.dataset_service.db.session") + def test_partial_team_permission_without_explicit_permission(self, mock_session): + """Test PARTIAL_TEAM permission denies users without explicit permission""" + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + + # Mock database query to return None (no permission record) + mock_session.query().filter_by().first.return_value = None + + with pytest.raises(NoPermissionError, match="You do not have permission to access this dataset."): + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + + # Verify database was queried correctly + mock_session.query().filter_by.assert_called_with(dataset_id=self.dataset.id, account_id=self.normal_user.id) + + @patch("services.dataset_service.db.session") + def test_partial_team_permission_non_creator_without_permission_fails(self, mock_session): + """Test that non-creators without explicit permission are denied access""" + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + + # Create a different user (not the creator) + other_user = Mock(spec=Account) + other_user.id = "other-user-123" + other_user.current_tenant_id = self.tenant_id + other_user.current_role = TenantAccountRole.NORMAL + + # Mock database query to return None (no permission record) + mock_session.query().filter_by().first.return_value = None + + with pytest.raises(NoPermissionError, match="You do not have permission to access this dataset."): + DatasetService.check_dataset_permission(self.dataset, other_user) + + def test_partial_team_permission_uses_correct_enum(self): + """Test that the method correctly uses DatasetPermissionEnum.PARTIAL_TEAM""" + # This test ensures we're using the enum instead of string literals + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + + # Creator should always have access + DatasetService.check_dataset_permission(self.dataset, self.creator_user) + + @patch("services.dataset_service.logging") + @patch("services.dataset_service.db.session") + def test_permission_denied_logs_debug_message(self, mock_session, mock_logging): + """Test that permission denied events are logged""" + self.dataset.permission = DatasetPermissionEnum.PARTIAL_TEAM + mock_session.query().filter_by().first.return_value = None + + with pytest.raises(NoPermissionError): + DatasetService.check_dataset_permission(self.dataset, self.normal_user) + + # Verify debug message was logged + mock_logging.debug.assert_called_with( + f"User {self.normal_user.id} does not have permission to access dataset {self.dataset.id}" + ) diff --git a/api/uv.lock b/api/uv.lock index 3a877762d3..1f1ba66de7 100644 --- a/api/uv.lock +++ b/api/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 1 requires-python = ">=3.11, <3.13" 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7871f71a98..4cf5e202d0 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -412,6 +412,7 @@ QDRANT_API_KEY=difyai123456 QDRANT_CLIENT_TIMEOUT=20 QDRANT_GRPC_ENABLED=false QDRANT_GRPC_PORT=6334 +QDRANT_REPLICATION_FACTOR=1 # Milvus configuration. Only available when VECTOR_STORE is `milvus`. # The milvus uri. @@ -531,6 +532,7 @@ RELYT_DATABASE=postgres OPENSEARCH_HOST=opensearch OPENSEARCH_PORT=9200 OPENSEARCH_SECURE=true +OPENSEARCH_VERIFY_CERTS=true OPENSEARCH_AUTH_METHOD=basic OPENSEARCH_USER=admin OPENSEARCH_PASSWORD=admin @@ -800,7 +802,7 @@ MAX_TOOLS_NUM=10 MAX_PARALLEL_LIMIT=10 # The maximum number of iterations for agent setting -MAX_ITERATIONS_NUM=5 +MAX_ITERATIONS_NUM=99 # ------------------------------ # Environment Variables for web Service @@ -1055,7 +1057,7 @@ PLUGIN_MAX_EXECUTION_TIMEOUT=600 PIP_MIRROR_URL= # https://github.com/langgenius/dify-plugin-daemon/blob/main/.env.example -# Plugin storage type, local aws_s3 tencent_cos azure_blob +# Plugin storage type, local aws_s3 tencent_cos azure_blob aliyun_oss volcengine_tos PLUGIN_STORAGE_TYPE=local PLUGIN_STORAGE_LOCAL_ROOT=/app/storage PLUGIN_WORKING_PATH=/app/storage/cwd @@ -1078,6 +1080,18 @@ PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= PLUGIN_TENCENT_COS_SECRET_KEY= PLUGIN_TENCENT_COS_SECRET_ID= PLUGIN_TENCENT_COS_REGION= +# Plugin oss aliyun oss +PLUGIN_ALIYUN_OSS_REGION= +PLUGIN_ALIYUN_OSS_ENDPOINT= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET= +PLUGIN_ALIYUN_OSS_AUTH_VERSION=v4 +PLUGIN_ALIYUN_OSS_PATH= +# Plugin oss volcengine tos +PLUGIN_VOLCENGINE_TOS_ENDPOINT= +PLUGIN_VOLCENGINE_TOS_ACCESS_KEY= +PLUGIN_VOLCENGINE_TOS_SECRET_KEY= +PLUGIN_VOLCENGINE_TOS_REGION= # ------------------------------ # OTLP Collector Configuration @@ -1097,3 +1111,10 @@ OTEL_METRIC_EXPORT_TIMEOUT=30000 # Prevent Clickjacking ALLOW_EMBED=false + +# Dataset queue monitor configuration +QUEUE_MONITOR_THRESHOLD=200 +# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai +QUEUE_MONITOR_ALERT_EMAILS= +# Monitor interval in minutes, default is 30 minutes +QUEUE_MONITOR_INTERVAL=30 diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml index 65fbd007e2..75bdab1a06 100644 --- a/docker/docker-compose-template.yaml +++ b/docker/docker-compose-template.yaml @@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:1.4.0 + image: langgenius/dify-api:1.4.1 restart: always environment: # Use the shared environment variables. @@ -31,7 +31,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.4.0 + image: langgenius/dify-api:1.4.1 restart: always environment: # Use the shared environment variables. @@ -57,7 +57,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.4.0 + image: langgenius/dify-web:1.4.1 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -75,7 +75,7 @@ services: LOOP_NODE_MAX_COUNT: ${LOOP_NODE_MAX_COUNT:-100} MAX_TOOLS_NUM: ${MAX_TOOLS_NUM:-10} MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} - MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-5} + MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-99} ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true} ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true} ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true} @@ -142,7 +142,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.10-local + image: langgenius/dify-plugin-daemon:0.1.1-local restart: always environment: # Use the shared environment variables. @@ -178,6 +178,16 @@ services: TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} + ALIYUN_OSS_REGION: ${PLUGIN_ALIYUN_OSS_REGION:-} + ALIYUN_OSS_ENDPOINT: ${PLUGIN_ALIYUN_OSS_ENDPOINT:-} + ALIYUN_OSS_ACCESS_KEY_ID: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID:-} + ALIYUN_OSS_ACCESS_KEY_SECRET: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET:-} + ALIYUN_OSS_AUTH_VERSION: ${PLUGIN_ALIYUN_OSS_AUTH_VERSION:-v4} + ALIYUN_OSS_PATH: ${PLUGIN_ALIYUN_OSS_PATH:-} + VOLCENGINE_TOS_ENDPOINT: ${PLUGIN_VOLCENGINE_TOS_ENDPOINT:-} + VOLCENGINE_TOS_ACCESS_KEY: ${PLUGIN_VOLCENGINE_TOS_ACCESS_KEY:-} + VOLCENGINE_TOS_SECRET_KEY: ${PLUGIN_VOLCENGINE_TOS_SECRET_KEY:-} + VOLCENGINE_TOS_REGION: ${PLUGIN_VOLCENGINE_TOS_REGION:-} ports: - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" volumes: @@ -438,6 +448,7 @@ services: OB_SYS_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} OB_TENANT_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} + OB_SERVER_IP: 127.0.0.1 MODE: MINI ports: - "${OCEANBASE_VECTOR_PORT:-2881}:2881" diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml index 4f39e801f5..8276e2977f 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -71,7 +71,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.10-local + image: langgenius/dify-plugin-daemon:0.1.1-local restart: always env_file: - ./middleware.env @@ -115,6 +115,16 @@ services: TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} + ALIYUN_OSS_REGION: ${PLUGIN_ALIYUN_OSS_REGION:-} + ALIYUN_OSS_ENDPOINT: ${PLUGIN_ALIYUN_OSS_ENDPOINT:-} + ALIYUN_OSS_ACCESS_KEY_ID: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID:-} + ALIYUN_OSS_ACCESS_KEY_SECRET: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET:-} + ALIYUN_OSS_AUTH_VERSION: ${PLUGIN_ALIYUN_OSS_AUTH_VERSION:-v4} + ALIYUN_OSS_PATH: ${PLUGIN_ALIYUN_OSS_PATH:-} + VOLCENGINE_TOS_ENDPOINT: ${PLUGIN_VOLCENGINE_TOS_ENDPOINT:-} + VOLCENGINE_TOS_ACCESS_KEY: ${PLUGIN_VOLCENGINE_TOS_ACCESS_KEY:-} + VOLCENGINE_TOS_SECRET_KEY: ${PLUGIN_VOLCENGINE_TOS_SECRET_KEY:-} + VOLCENGINE_TOS_REGION: ${PLUGIN_VOLCENGINE_TOS_REGION:-} ports: - "${EXPOSE_PLUGIN_DAEMON_PORT:-5002}:${PLUGIN_DAEMON_PORT:-5002}" - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 0aca3b749e..e559021684 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -138,6 +138,7 @@ x-shared-env: &shared-api-worker-env QDRANT_CLIENT_TIMEOUT: ${QDRANT_CLIENT_TIMEOUT:-20} QDRANT_GRPC_ENABLED: ${QDRANT_GRPC_ENABLED:-false} QDRANT_GRPC_PORT: ${QDRANT_GRPC_PORT:-6334} + QDRANT_REPLICATION_FACTOR: ${QDRANT_REPLICATION_FACTOR:-1} MILVUS_URI: ${MILVUS_URI:-http://host.docker.internal:19530} MILVUS_DATABASE: ${MILVUS_DATABASE:-} MILVUS_TOKEN: ${MILVUS_TOKEN:-} @@ -227,6 +228,7 @@ x-shared-env: &shared-api-worker-env OPENSEARCH_HOST: ${OPENSEARCH_HOST:-opensearch} OPENSEARCH_PORT: ${OPENSEARCH_PORT:-9200} OPENSEARCH_SECURE: ${OPENSEARCH_SECURE:-true} + OPENSEARCH_VERIFY_CERTS: ${OPENSEARCH_VERIFY_CERTS:-true} OPENSEARCH_AUTH_METHOD: ${OPENSEARCH_AUTH_METHOD:-basic} OPENSEARCH_USER: ${OPENSEARCH_USER:-admin} OPENSEARCH_PASSWORD: ${OPENSEARCH_PASSWORD:-admin} @@ -352,7 +354,7 @@ x-shared-env: &shared-api-worker-env LOOP_NODE_MAX_COUNT: ${LOOP_NODE_MAX_COUNT:-100} MAX_TOOLS_NUM: ${MAX_TOOLS_NUM:-10} MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} - MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-5} + MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-99} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} PGUSER: ${PGUSER:-${DB_USERNAME}} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-${DB_PASSWORD}} @@ -476,6 +478,16 @@ x-shared-env: &shared-api-worker-env PLUGIN_TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} PLUGIN_TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} PLUGIN_TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} + PLUGIN_ALIYUN_OSS_REGION: ${PLUGIN_ALIYUN_OSS_REGION:-} + PLUGIN_ALIYUN_OSS_ENDPOINT: ${PLUGIN_ALIYUN_OSS_ENDPOINT:-} + PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID:-} + PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET:-} + PLUGIN_ALIYUN_OSS_AUTH_VERSION: ${PLUGIN_ALIYUN_OSS_AUTH_VERSION:-v4} + PLUGIN_ALIYUN_OSS_PATH: ${PLUGIN_ALIYUN_OSS_PATH:-} + PLUGIN_VOLCENGINE_TOS_ENDPOINT: ${PLUGIN_VOLCENGINE_TOS_ENDPOINT:-} + PLUGIN_VOLCENGINE_TOS_ACCESS_KEY: ${PLUGIN_VOLCENGINE_TOS_ACCESS_KEY:-} + PLUGIN_VOLCENGINE_TOS_SECRET_KEY: ${PLUGIN_VOLCENGINE_TOS_SECRET_KEY:-} + PLUGIN_VOLCENGINE_TOS_REGION: ${PLUGIN_VOLCENGINE_TOS_REGION:-} ENABLE_OTEL: ${ENABLE_OTEL:-false} OTLP_BASE_ENDPOINT: ${OTLP_BASE_ENDPOINT:-http://localhost:4318} OTLP_API_KEY: ${OTLP_API_KEY:-} @@ -489,11 +501,14 @@ x-shared-env: &shared-api-worker-env OTEL_BATCH_EXPORT_TIMEOUT: ${OTEL_BATCH_EXPORT_TIMEOUT:-10000} OTEL_METRIC_EXPORT_TIMEOUT: ${OTEL_METRIC_EXPORT_TIMEOUT:-30000} ALLOW_EMBED: ${ALLOW_EMBED:-false} + QUEUE_MONITOR_THRESHOLD: ${QUEUE_MONITOR_THRESHOLD:-200} + QUEUE_MONITOR_ALERT_EMAILS: ${QUEUE_MONITOR_ALERT_EMAILS:-} + QUEUE_MONITOR_INTERVAL: ${QUEUE_MONITOR_INTERVAL:-30} services: # API service api: - image: langgenius/dify-api:1.4.0 + image: langgenius/dify-api:1.4.1 restart: always environment: # Use the shared environment variables. @@ -522,7 +537,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.4.0 + image: langgenius/dify-api:1.4.1 restart: always environment: # Use the shared environment variables. @@ -548,7 +563,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.4.0 + image: langgenius/dify-web:1.4.1 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -566,7 +581,7 @@ services: LOOP_NODE_MAX_COUNT: ${LOOP_NODE_MAX_COUNT:-100} MAX_TOOLS_NUM: ${MAX_TOOLS_NUM:-10} MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} - MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-5} + MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-99} ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true} ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true} ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true} @@ -633,7 +648,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.10-local + image: langgenius/dify-plugin-daemon:0.1.1-local restart: always environment: # Use the shared environment variables. @@ -669,6 +684,16 @@ services: TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} + ALIYUN_OSS_REGION: ${PLUGIN_ALIYUN_OSS_REGION:-} + ALIYUN_OSS_ENDPOINT: ${PLUGIN_ALIYUN_OSS_ENDPOINT:-} + ALIYUN_OSS_ACCESS_KEY_ID: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID:-} + ALIYUN_OSS_ACCESS_KEY_SECRET: ${PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET:-} + ALIYUN_OSS_AUTH_VERSION: ${PLUGIN_ALIYUN_OSS_AUTH_VERSION:-v4} + ALIYUN_OSS_PATH: ${PLUGIN_ALIYUN_OSS_PATH:-} + VOLCENGINE_TOS_ENDPOINT: ${PLUGIN_VOLCENGINE_TOS_ENDPOINT:-} + VOLCENGINE_TOS_ACCESS_KEY: ${PLUGIN_VOLCENGINE_TOS_ACCESS_KEY:-} + VOLCENGINE_TOS_SECRET_KEY: ${PLUGIN_VOLCENGINE_TOS_SECRET_KEY:-} + VOLCENGINE_TOS_REGION: ${PLUGIN_VOLCENGINE_TOS_REGION:-} ports: - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" volumes: @@ -929,6 +954,7 @@ services: OB_SYS_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} OB_TENANT_PASSWORD: ${OCEANBASE_VECTOR_PASSWORD:-difyai123456} OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai} + OB_SERVER_IP: 127.0.0.1 MODE: MINI ports: - "${OCEANBASE_VECTOR_PORT:-2881}:2881" diff --git a/docker/middleware.env.example b/docker/middleware.env.example index 2ac09ea264..66037f281c 100644 --- a/docker/middleware.env.example +++ b/docker/middleware.env.example @@ -109,7 +109,7 @@ EXPOSE_PLUGIN_DEBUGGING_HOST=localhost EXPOSE_PLUGIN_DEBUGGING_PORT=5003 PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 -PLUGIN_DIFY_INNER_API_URL=http://api:5001 +PLUGIN_DIFY_INNER_API_URL=http://host.docker.internal:5001 MARKETPLACE_ENABLED=true MARKETPLACE_API_URL=https://marketplace.dify.ai @@ -145,3 +145,15 @@ PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= PLUGIN_TENCENT_COS_SECRET_KEY= PLUGIN_TENCENT_COS_SECRET_ID= PLUGIN_TENCENT_COS_REGION= +# Plugin oss aliyun oss +PLUGIN_ALIYUN_OSS_REGION= +PLUGIN_ALIYUN_OSS_ENDPOINT= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_ID= +PLUGIN_ALIYUN_OSS_ACCESS_KEY_SECRET= +PLUGIN_ALIYUN_OSS_AUTH_VERSION=v4 +PLUGIN_ALIYUN_OSS_PATH= +# Plugin oss volcengine tos +PLUGIN_VOLCENGINE_TOS_ENDPOINT= +PLUGIN_VOLCENGINE_TOS_ACCESS_KEY= +PLUGIN_VOLCENGINE_TOS_SECRET_KEY= +PLUGIN_VOLCENGINE_TOS_REGION= diff --git a/images/GitHub_README_if.png b/images/GitHub_README_if.png index 6d7bb9e54b..2a4e67264e 100644 Binary files a/images/GitHub_README_if.png and b/images/GitHub_README_if.png differ diff --git a/sdks/python-client/dify_client/client.py b/sdks/python-client/dify_client/client.py index ee1b5c57e1..d885dc6fb7 100644 --- a/sdks/python-client/dify_client/client.py +++ b/sdks/python-client/dify_client/client.py @@ -47,7 +47,7 @@ class DifyClient: def text_to_audio(self, text: str, user: str, streaming: bool = False): data = {"text": text, "user": user, "streaming": streaming} - return self._send_request("POST", "/text-to-audio", data=data) + return self._send_request("POST", "/text-to-audio", json=data) def get_meta(self, user): params = {"user": user} diff --git a/web/.env.example b/web/.env.example index 51631c2437..78b4f33e8c 100644 --- a/web/.env.example +++ b/web/.env.example @@ -50,7 +50,7 @@ NEXT_PUBLIC_MAX_TOOLS_NUM=10 NEXT_PUBLIC_MAX_PARALLEL_LIMIT=10 # The maximum number of iterations for agent setting -NEXT_PUBLIC_MAX_ITERATIONS_NUM=5 +NEXT_PUBLIC_MAX_ITERATIONS_NUM=99 NEXT_PUBLIC_ENABLE_WEBSITE_JINAREADER=true NEXT_PUBLIC_ENABLE_WEBSITE_FIRECRAWL=true diff --git a/web/Dockerfile b/web/Dockerfile index dfc5ba8b46..93eef59815 100644 --- a/web/Dockerfile +++ b/web/Dockerfile @@ -6,7 +6,7 @@ LABEL maintainer="takatost@gmail.com" # RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories RUN apk add --no-cache tzdata -RUN npm install -g pnpm@10.8.0 +RUN npm install -g pnpm@10.11.1 ENV PNPM_HOME="/pnpm" ENV PATH="$PNPM_HOME:$PATH" diff --git a/web/app/(commonLayout)/apps/AppCard.tsx b/web/app/(commonLayout)/apps/AppCard.tsx index 468c8244c0..31b9ed87c2 100644 --- a/web/app/(commonLayout)/apps/AppCard.tsx +++ b/web/app/(commonLayout)/apps/AppCard.tsx @@ -2,9 +2,9 @@ import { useContext, useContextSelector } from 'use-context-selector' import { useRouter } from 'next/navigation' -import { useCallback, useEffect, useState } from 'react' +import { useCallback, useEffect, useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' -import { RiBuildingLine, RiGlobalLine, RiLockLine, RiMoreFill } from '@remixicon/react' +import { RiBuildingLine, RiGlobalLine, RiLockLine, RiMoreFill, RiVerifiedBadgeLine } from '@remixicon/react' import cn from '@/utils/classnames' import type { App } from '@/types/app' import Confirm from '@/app/components/base/confirm' @@ -35,6 +35,7 @@ import Tooltip from '@/app/components/base/tooltip' import AccessControl from '@/app/components/app/app-access-control' import { AccessMode } from '@/models/access-control' import { useGlobalPublicStore } from '@/context/global-public-context' +import { formatTime } from '@/utils/time' export type AppCardProps = { app: App @@ -296,6 +297,15 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { setTags(app.tags) }, [app.tags]) + const EditTimeText = useMemo(() => { + const timeText = formatTime({ + date: (app.updated_at || app.created_at) * 1000, + dateFormat: 'MM/DD/YYYY h:mm', + }) + return `${t('datasetDocuments.segment.editedAt')} ${timeText}` + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [app.updated_at, app.created_at]) + return ( <>
{
{app.name}
-
- {app.mode === 'advanced-chat' &&
{t('app.types.advanced').toUpperCase()}
} - {app.mode === 'chat' &&
{t('app.types.chatbot').toUpperCase()}
} - {app.mode === 'agent-chat' &&
{t('app.types.agent').toUpperCase()}
} - {app.mode === 'workflow' &&
{t('app.types.workflow').toUpperCase()}
} - {app.mode === 'completion' &&
{t('app.types.completion').toUpperCase()}
} +
+
{app.author_name}
+
·
+
{EditTimeText}
{app.access_mode === AccessMode.PUBLIC && - + } {app.access_mode === AccessMode.SPECIFIC_GROUPS_MEMBERS && @@ -338,6 +346,9 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { {app.access_mode === AccessMode.ORGANIZATION && } + {app.access_mode === AccessMode.EXTERNAL_MEMBERS && + + }
diff --git a/web/app/(commonLayout)/apps/Apps.tsx b/web/app/(commonLayout)/apps/Apps.tsx index 1b7ff39383..d0cc7ff91f 100644 --- a/web/app/(commonLayout)/apps/Apps.tsx +++ b/web/app/(commonLayout)/apps/Apps.tsx @@ -88,11 +88,11 @@ const Apps = () => { const anchorRef = useRef(null) const options = [ { value: 'all', text: t('app.types.all'), icon: }, + { value: 'workflow', text: t('app.types.workflow'), icon: }, + { value: 'advanced-chat', text: t('app.types.advanced'), icon: }, { value: 'chat', text: t('app.types.chatbot'), icon: }, { value: 'agent-chat', text: t('app.types.agent'), icon: }, { value: 'completion', text: t('app.types.completion'), icon: }, - { value: 'advanced-chat', text: t('app.types.advanced'), icon: }, - { value: 'workflow', text: t('app.types.workflow'), icon: }, ] useEffect(() => { diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx index 62569ab26b..112b6a752e 100644 --- a/web/app/(commonLayout)/datasets/Container.tsx +++ b/web/app/(commonLayout)/datasets/Container.tsx @@ -87,7 +87,7 @@ const Container = () => { return (
-
+
setActiveTab(newActiveTab)} diff --git a/web/app/(commonLayout)/datasets/DatasetCard.tsx b/web/app/(commonLayout)/datasets/DatasetCard.tsx index e0012b4956..4b40be2c7f 100644 --- a/web/app/(commonLayout)/datasets/DatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/DatasetCard.tsx @@ -111,7 +111,7 @@ const DatasetCard = ({ return ( <>
{ e.preventDefault() diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 3393c636cd..4d00b7b2b5 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -1298,6 +1298,76 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
+ + + + Get details of a specific document segment in the specified knowledge base + + ### Path + + + Knowledge Base ID + + + Document ID + + + Segment ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```json {{ title: 'Response' }} + { + "data": { + "id": "chunk_id", + "position": 2, + "document_id": "document_id", + "content": "Segment content text", + "sign_content": "Signature content text", + "answer": "Answer content (if in Q&A mode)", + "word_count": 470, + "tokens": 382, + "keywords": ["keyword1", "keyword2"], + "index_node_id": "index_node_id", + "index_node_hash": "index_node_hash", + "hit_count": 0, + "enabled": true, + "status": "completed", + "created_by": "creator_id", + "created_at": creation_timestamp, + "updated_at": update_timestamp, + "indexing_at": indexing_timestamp, + "completed_at": completion_timestamp, + "error": null, + "child_chunks": [] + }, + "doc_form": "text_model" + } + ``` + + + + +
+ - Retrieval model (optional, if not filled, it will be recalled according to the default method) - - search_method (text) Search method: One of the following four keywords is required - - keyword_search Keyword search - - semantic_search Semantic search - - full_text_search Full-text search - - hybrid_search Hybrid search - - reranking_enable (bool) Whether to enable reranking, required if the search mode is semantic_search or hybrid_search (optional) - - reranking_mode (object) Rerank model configuration, required if reranking is enabled - - reranking_provider_name (string) Rerank model provider - - reranking_model_name (string) Rerank model name - - weights (float) Semantic search weight setting in hybrid search mode - - top_k (integer) Number of results to return (optional) - - score_threshold_enabled (bool) Whether to enable score threshold - - score_threshold (float) Score threshold + Retrieval parameters (optional, if not filled, it will be recalled according to the default method) + - search_method (text) Search method: One of the following four keywords is required + - keyword_search Keyword search + - semantic_search Semantic search + - full_text_search Full-text search + - hybrid_search Hybrid search + - reranking_enable (bool) Whether to enable reranking, required if the search mode is semantic_search or hybrid_search (optional) + - reranking_mode (object) Rerank model configuration, required if reranking is enabled + - reranking_provider_name (string) Rerank model provider + - reranking_model_name (string) Rerank model name + - weights (float) Semantic search weight setting in hybrid search mode + - top_k (integer) Number of results to return (optional) + - score_threshold_enabled (bool) Whether to enable score threshold + - score_threshold (float) Score threshold + - metadata_filtering_conditions (object) Metadata filtering conditions + - logical_operator (string) Logical operator: and | or + - conditions (array[object]) Conditions list + - name (string) Metadata field name + - comparison_operator (string) Comparison operator, allowed values: + - String comparison: + - contains: Contains + - not contains: Does not contain + - start with: Starts with + - end with: Ends with + - is: Equals + - is not: Does not equal + - empty: Is empty + - not empty: Is not empty + - Numeric comparison: + - =: Equals + - ≠: Does not equal + - >: Greater than + - < : Less than + - ≥: Greater than or equal + - ≤: Less than or equal + - Time comparison: + - before: Before + - after: After + - value (string|number|null) Comparison value Unused field @@ -1809,7 +1904,17 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi "weights": null, "top_k": 1, "score_threshold_enabled": false, - "score_threshold": null + "score_threshold": null, + "metadata_filtering_conditions": { + "logical_operator": "and", + "conditions": [ + { + "name": "document_name", + "comparison_operator": "contains", + "value": "test" + } + ] + } } }'`} > @@ -2089,9 +2194,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi label="/datasets/{dataset_id}/documents/metadata" targetCode={`curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/documents/metadata' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'\\\n--data-raw '{"operation_data": [{"document_id": "document_id", "metadata_list": [{"id": "id", "value": "value", "name": "name"}]}]}'`} > - ```bash {{ title: 'cURL' }} - ``` - + ```bash {{ title: 'cURL' }} @@ -2246,6 +2349,316 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
+Okay, I will translate the Chinese text in your document while keeping all formatting and code content unchanged. + + + + + ### Request Body + + + (text) New tag name, required, maximum length 50 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag1"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "testtag1", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + + +
+ + + + + ### Request Body + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' + ``` + + + ```json {{ title: 'Response' }} + [ + { + "id": "39d6934c-ed36-463d-b4a7-377fa1503dc0", + "name": "testtag1", + "type": "knowledge", + "binding_count": "0" + }, + ... + ] + ``` + + + + +
+ + + + + ### Request Body + + + (text) Modified tag name, required, maximum length 50 + + + (text) Tag ID, required + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request PATCH '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag2", "tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "tag-renamed", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + +
+ + + + + + ### Request Body + + + (text) Tag ID, required + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request DELETE '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + + {"result": "success"} + + ``` + + + + +
+ + + + + ### Request Body + + + (list) List of Tag IDs, required + + + (text) Dataset ID, required + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/binding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_ids": ["65cc29be-d072-4e26-adf4-2f727644da29","1e5348f3-d3ff-42b8-a1b7-0a86d518001a"], "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + +
+ + + + + ### Request Body + + + (text) Tag ID, required + + + (text) Dataset ID, required + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/unbinding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "1e5348f3-d3ff-42b8-a1b7-0a86d518001a", "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + + +
+ + + + + ### Path + + + (text) Dataset ID + + + + + /tags' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n`} + > + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets//tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + ``` + + + ```json {{ title: 'Response' }} + { + "data": + [ + {"id": "4a601f4f-f8a2-4166-ae7c-58c3b252a524", + "name": "123" + }, + ... + ], + "total": 3 + } + ``` + + + + + +
+ diff --git a/web/app/(commonLayout)/datasets/template/template.ja.mdx b/web/app/(commonLayout)/datasets/template/template.ja.mdx index defd48816d..a796b65bae 100644 --- a/web/app/(commonLayout)/datasets/template/template.ja.mdx +++ b/web/app/(commonLayout)/datasets/template/template.ja.mdx @@ -192,15 +192,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - original_document_id が渡されない場合、新しい操作が実行され、process_rule が必要です。 - indexing_technique インデックスモード - - high_quality 高品質: 埋め込みモデルを使用してベクトルデータベースインデックスを構築 - - economy 経済: キーワードテーブルインデックスの反転インデックスを構築 + - high_quality 高品質：埋め込みモデルを使用してベクトルデータベースインデックスを構築 + - economy 経済：キーワードテーブルインデックスの反転インデックスを構築 - doc_form インデックス化された内容の形式 - text_model テキストドキュメントは直接埋め込まれます; `economy` モードではこの形式がデフォルト - hierarchical_model 親子モード - - qa_model Q&A モード: 分割されたドキュメントの質問と回答ペアを生成し、質問を埋め込みます + - qa_model Q&A モード：分割されたドキュメントの質問と回答ペアを生成し、質問を埋め込みます - - doc_language Q&A モードでは、ドキュメントの言語を指定します。例: English, Chinese + - doc_language Q&A モードでは、ドキュメントの言語を指定します。例：English, Chinese - process_rule 処理ルール - mode (string) クリーニング、セグメンテーションモード、自動 / カスタム @@ -214,7 +214,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - segmentation (object) セグメンテーションルール - separator カスタムセグメント識別子。現在は 1 つの区切り文字のみ設定可能。デフォルトは \n - max_tokens 最大長 (トークン) デフォルトは 1000 - - parent_mode 親チャンクの検索モード: full-doc 全文検索 / paragraph 段落検索 + - parent_mode 親チャンクの検索モード：full-doc 全文検索 / paragraph 段落検索 - subchunk_segmentation (object) 子チャンクルール - separator セグメンテーション識別子。現在は 1 つの区切り文字のみ許可。デフォルトは *** - max_tokens 最大長 (トークン) は親チャンクの長さより短いことを検証する必要があります @@ -324,7 +324,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - partial_members 一部のメンバー - プロバイダー (オプション、デフォルト: vendor) + プロバイダー (オプション、デフォルト：vendor) - vendor ベンダー - external 外部ナレッジ @@ -415,16 +415,16 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 検索キーワード、オプション - タグIDリスト、オプション + タグ ID リスト、オプション - ページ番号、オプション、デフォルト1 + ページ番号、オプション、デフォルト 1 - 返されるアイテム数、オプション、デフォルト20、範囲1-100 + 返されるアイテム数、オプション、デフォルト 20、範囲 1-100 - すべてのデータセットを含めるかどうか（所有者のみ有効）、オプション、デフォルトはfalse + すべてのデータセットを含めるかどうか（所有者のみ有効）、オプション、デフォルトは false @@ -1057,6 +1057,75 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi + + + 指定されたナレッジベース内の特定のドキュメントセグメントの詳細を表示します + + ### パス + + + ナレッジベースID + + + ドキュメントID + + + セグメントID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```json {{ title: 'Response' }} + { + "data": { + "id": "セグメントID", + "position": 2, + "document_id": "ドキュメントID", + "content": "セグメント内容テキスト", + "sign_content": "署名内容テキスト", + "answer": "回答内容(Q&Aモードの場合)", + "word_count": 470, + "tokens": 382, + "keywords": ["キーワード1", "キーワード2"], + "index_node_id": "インデックスノードID", + "index_node_hash": "インデックスノードハッシュ", + "hit_count": 0, + "enabled": true, + "status": "completed", + "created_by": "作成者ID", + "created_at": 作成タイムスタンプ, + "updated_at": 更新タイムスタンプ, + "indexing_at": インデックス作成タイムスタンプ, + "completed_at": 完了タイムスタンプ, + "error": null, + "child_chunks": [] + }, + "doc_form": "text_model" + } + ``` + + + + +
+ + - 検索モデル (オプション、入力されない場合はデフォルトの方法でリコールされます) - - search_method (text) 検索方法: 以下の 4 つのキーワードのいずれかが必要です - - keyword_search キーワード検索 - - semantic_search セマンティック検索 - - full_text_search 全文検索 - - hybrid_search ハイブリッド検索 - - reranking_enable (bool) 再ランキングを有効にするかどうか、検索モードが semantic_search または hybrid_search の場合に必須 (オプション) - - reranking_mode (object) 再ランキングモデル構成、再ランキングが有効な場合に必須 - - reranking_provider_name (string) 再ランキングモデルプロバイダー - - reranking_model_name (string) 再ランキングモデル名 - - weights (float) ハイブリッド検索モードでのセマンティック検索の重み設定 - - top_k (integer) 返される結果の数 (オプション) - - score_threshold_enabled (bool) スコア閾値を有効にするかどうか - - score_threshold (float) スコア閾値 + 検索パラメータ（オプション、入力されない場合はデフォルトの方法でリコールされます） + - search_method (text) 検索方法: 以下の4つのキーワードのいずれかが必要です + - keyword_search キーワード検索 + - semantic_search セマンティック検索 + - full_text_search 全文検索 + - hybrid_search ハイブリッド検索 + - reranking_enable (bool) 再ランキングを有効にするかどうか、検索モードがsemantic_searchまたはhybrid_searchの場合に必須（オプション） + - reranking_mode (object) 再ランキングモデル構成、再ランキングが有効な場合に必須 + - reranking_provider_name (string) 再ランキングモデルプロバイダー + - reranking_model_name (string) 再ランキングモデル名 + - weights (float) ハイブリッド検索モードでのセマンティック検索の重み設定 + - top_k (integer) 返される結果の数（オプション） + - score_threshold_enabled (bool) スコア閾値を有効にするかどうか + - score_threshold (float) スコア閾値 + - metadata_filtering_conditions (object) メタデータフィルタリング条件 + - logical_operator (string) 論理演算子: and | or + - conditions (array[object]) 条件リスト + - name (string) メタデータフィールド名 + - comparison_operator (string) 比較演算子、許可される値: + - 文字列比較: + - contains: 含む + - not contains: 含まない + - start with: で始まる + - end with: で終わる + - is: 等しい + - is not: 等しくない + - empty: 空 + - not empty: 空でない + - 数値比較: + - =: 等しい + - ≠: 等しくない + - >: より大きい + - < : より小さい + - ≥: 以上 + - ≤: 以下 + - 時間比較: + - before: より前 + - after: より後 + - value (string|number|null) 比較値 未使用フィールド @@ -1566,7 +1659,17 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi "weights": null, "top_k": 1, "score_threshold_enabled": false, - "score_threshold": null + "score_threshold": null, + "metadata_filtering_conditions": { + "logical_operator": "and", + "conditions": [ + { + "name": "document_name", + "comparison_operator": "contains", + "value": "test" + } + ] + } } }'`} > @@ -1898,6 +2001,313 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi +
+ + + + ### Request Body + + + (text) 新しいタグ名、必須、最大長 50 文字 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag1"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "testtag1", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + + +
+ + + + + ### Request Body + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' + ``` + + + ```json {{ title: 'Response' }} + [ + { + "id": "39d6934c-ed36-463d-b4a7-377fa1503dc0", + "name": "testtag1", + "type": "knowledge", + "binding_count": "0" + }, + ... + ] + ``` + + + + +
+ + + + + ### Request Body + + + (text) 変更後のタグ名、必須、最大長 50 文字 + + + (text) タグ ID、必須 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request PATCH '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag2", "tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "tag-renamed", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + +
+ + + + + + ### Request Body + + + (text) タグ ID、必須 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request DELETE '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + + {"result": "success"} + + ``` + + + + +
+ + + + + ### Request Body + + + (list) タグ ID リスト、必須 + + + (text) ナレッジベース ID、必須 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/binding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_ids": ["65cc29be-d072-4e26-adf4-2f727644da29","1e5348f3-d3ff-42b8-a1b7-0a86d518001a"], "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + +
+ + + + + ### Request Body + + + (text) タグ ID、必須 + + + (text) ナレッジベース ID、必須 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/unbinding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "1e5348f3-d3ff-42b8-a1b7-0a86d518001a", "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + + +
+ + + + + ### Path + + + (text) ナレッジベース ID + + + + + /tags' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n`} + > + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets//tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + ``` + + + ```json {{ title: 'Response' }} + { + "data": + [ + {"id": "4a601f4f-f8a2-4166-ae7c-58c3b252a524", + "name": "123" + }, + ... + ], + "total": 3 + } + ``` + + + + +
diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx index 04b5837651..d121a93df2 100644 --- a/web/app/(commonLayout)/datasets/template/template.zh.mdx +++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx @@ -207,7 +207,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - doc_language 在 Q&A 模式下，指定文档的语言，例如：English、Chinese - process_rule 处理规则 - - mode (string) 清洗、分段模式 ，automatic 自动 / custom 自定义 / hierarchical 父子 + - mode (string) 清洗、分段模式，automatic 自动 / custom 自定义 / hierarchical 父子 - rules (object) 自定义规则（自动模式下，该字段为空） - pre_processing_rules (array[object]) 预处理规则 - id (string) 预处理规则的唯一标识符 @@ -234,12 +234,12 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - hybrid_search 混合检索 - semantic_search 语义检索 - full_text_search 全文检索 - - reranking_enable (bool) 是否开启rerank + - reranking_enable (bool) 是否开启 rerank - reranking_model (object) Rerank 模型配置 - reranking_provider_name (string) Rerank 模型的提供商 - reranking_model_name (string) Rerank 模型的名称 - top_k (int) 召回条数 - - score_threshold_enabled (bool)是否开启召回分数限制 + - score_threshold_enabled (bool) 是否开启召回分数限制 - score_threshold (float) 召回分数限制 @@ -350,12 +350,12 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - hybrid_search 混合检索 - semantic_search 语义检索 - full_text_search 全文检索 - - reranking_enable (bool) 是否开启rerank + - reranking_enable (bool) 是否开启 rerank - reranking_model (object) Rerank 模型配置 - reranking_provider_name (string) Rerank 模型的提供商 - reranking_model_name (string) Rerank 模型的名称 - top_k (int) 召回条数 - - score_threshold_enabled (bool)是否开启召回分数限制 + - score_threshold_enabled (bool) 是否开启召回分数限制 - score_threshold (float) 召回分数限制 @@ -1322,7 +1322,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 文档 ID - 文档分段ID + 文档分段 ID @@ -1351,6 +1351,75 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi + + + 查看指定知识库中特定文档的分段详情 + + ### Path + + + 知识库 ID + + + 文档 ID + + + 分段 ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```json {{ title: 'Response' }} + { + "data": { + "id": "分段唯一ID", + "position": 2, + "document_id": "所属文档ID", + "content": "分段内容文本", + "sign_content": "签名内容文本", + "answer": "答案内容(如果有)", + "word_count": 470, + "tokens": 382, + "keywords": ["关键词1", "关键词2"], + "index_node_id": "索引节点ID", + "index_node_hash": "索引节点哈希值", + "hit_count": 0, + "enabled": true, + "status": "completed", + "created_by": "创建者ID", + "created_at": 创建时间戳, + "updated_at": 更新时间戳, + "indexing_at": 索引时间戳, + "completed_at": 完成时间戳, + "error": null, + "child_chunks": [] + }, + "doc_form": "text_model" + } + ``` + + + + +
+ + - 文档分段ID + 文档分段 ID @@ -1827,6 +1896,31 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - top_k (integer) 返回结果数量，非必填 - score_threshold_enabled (bool) 是否开启 score 阈值 - score_threshold (float) Score 阈值 + - metadata_filtering_conditions (object) 元数据过滤条件 + - logical_operator (string) 逻辑运算符: and | or + - conditions (array[object]) 条件列表 + - name (string) 元数据字段名 + - comparison_operator (string) 比较运算符，可选值: + - 字符串比较: + - contains: 包含 + - not contains: 不包含 + - start with: 以...开头 + - end with: 以...结尾 + - is: 等于 + - is not: 不等于 + - empty: 为空 + - not empty: 不为空 + - 数值比较: + - =: 等于 + - ≠: 不等于 + - >: 大于 + - < : 小于 + - ≥: 大于等于 + - ≤: 小于等于 + - 时间比较: + - before: 早于 + - after: 晚于 + - value (string|number|null) 比较值 未启用字段 @@ -1851,7 +1945,17 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi "weights": null, "top_k": 1, "score_threshold_enabled": false, - "score_threshold": null + "score_threshold": null, + "metadata_filtering_conditions": { + "logical_operator": "and", + "conditions": [ + { + "name": "document_name", + "comparison_operator": "contains", + "value": "test" + } + ] + } } }'`} > @@ -2119,7 +2223,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - document_id (string) 文档 ID - metadata_list (list) 元数据列表 - id (string) 元数据 ID - - type (string) 元数据类型 + - value (string) 元数据值 - name (string) 元数据名称 @@ -2287,6 +2391,314 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi +
+ + + + + ### Request Body + + + (text) 新标签名称，必填，最大长度为 50 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag1"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "testtag1", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + + +
+ + + + + ### Request Body + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' + ``` + + + ```json {{ title: 'Response' }} + [ + { + "id": "39d6934c-ed36-463d-b4a7-377fa1503dc0", + "name": "testtag1", + "type": "knowledge", + "binding_count": "0" + }, + ... + ] + ``` + + + + +
+ + + + + ### Request Body + + + (text) 修改后的标签名称，必填，最大长度为 50 + + + (text) 标签 ID，必填 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request PATCH '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"name": "testtag2", "tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eddb66c2-04a1-4e3a-8cb2-75abd01e12a6", + "name": "tag-renamed", + "type": "knowledge", + "binding_count": 0 + } + ``` + + + + +
+ + + + + + ### Request Body + + + (text) 标签 ID，必填 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request DELETE '${props.apiBaseUrl}/datasets/tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "e1a0a3db-ee34-4e04-842a-81555d5316fd"}' + ``` + + + ```json {{ title: 'Response' }} + + {"result": "success"} + + ``` + + + + +
+ + + + + ### Request Body + + + (list) 标签 ID 列表，必填 + + + (text) 知识库 ID，必填 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/binding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_ids": ["65cc29be-d072-4e26-adf4-2f727644da29","1e5348f3-d3ff-42b8-a1b7-0a86d518001a"], "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + +
+ + + + + ### Request Body + + + (text) 标签 ID，必填 + + + (text) 知识库 ID，必填 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/tags/unbinding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{"tag_id": "1e5348f3-d3ff-42b8-a1b7-0a86d518001a", "target_id": "a932ea9f-fae1-4b2c-9b65-71c56e2cacd6"}' + ``` + + + ```json {{ title: 'Response' }} + {"result": "success"} + ``` + + + + + +
+ + + + + ### Path + + + (text) 知识库 ID + + + + + /tags' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json' \\\n`} + > + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets//tags' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + ``` + + + ```json {{ title: 'Response' }} + { + "data": + [ + {"id": "4a601f4f-f8a2-4166-ae7c-58c3b252a524", + "name": "123" + }, + ... + ], + "total": 3 + } + ``` + + + + +
diff --git a/web/app/(shareLayout)/layout.tsx b/web/app/(shareLayout)/layout.tsx index 83adbd3cae..8db336a17d 100644 --- a/web/app/(shareLayout)/layout.tsx +++ b/web/app/(shareLayout)/layout.tsx @@ -1,14 +1,42 @@ -import React from 'react' +'use client' +import React, { useEffect, useState } from 'react' import type { FC } from 'react' -import type { Metadata } from 'next' - -export const metadata: Metadata = { - icons: 'data:,', // prevent browser from using default favicon -} +import { usePathname, useSearchParams } from 'next/navigation' +import Loading from '../components/base/loading' +import { useGlobalPublicStore } from '@/context/global-public-context' +import { AccessMode } from '@/models/access-control' +import { getAppAccessModeByAppCode } from '@/service/share' const Layout: FC<{ children: React.ReactNode }> = ({ children }) => { + const isGlobalPending = useGlobalPublicStore(s => s.isGlobalPending) + const setWebAppAccessMode = useGlobalPublicStore(s => s.setWebAppAccessMode) + const pathname = usePathname() + const searchParams = useSearchParams() + const redirectUrl = searchParams.get('redirect_url') + const [isLoading, setIsLoading] = useState(true) + useEffect(() => { + (async () => { + let appCode: string | null = null + if (redirectUrl) + appCode = redirectUrl?.split('/').pop() || null + else + appCode = pathname.split('/').pop() || null + + if (!appCode) + return + setIsLoading(true) + const ret = await getAppAccessModeByAppCode(appCode) + setWebAppAccessMode(ret?.accessMode || AccessMode.PUBLIC) + setIsLoading(false) + })() + }, [pathname, redirectUrl, setWebAppAccessMode]) + if (isLoading || isGlobalPending) { + return
+ +
+ } return (
{children} diff --git a/web/app/(shareLayout)/webapp-reset-password/check-code/page.tsx b/web/app/(shareLayout)/webapp-reset-password/check-code/page.tsx new file mode 100644 index 0000000000..da754794b1 --- /dev/null +++ b/web/app/(shareLayout)/webapp-reset-password/check-code/page.tsx @@ -0,0 +1,96 @@ +'use client' +import { RiArrowLeftLine, RiMailSendFill } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { useState } from 'react' +import { useRouter, useSearchParams } from 'next/navigation' +import { useContext } from 'use-context-selector' +import Countdown from '@/app/components/signin/countdown' +import Button from '@/app/components/base/button' +import Input from '@/app/components/base/input' +import Toast from '@/app/components/base/toast' +import { sendWebAppResetPasswordCode, verifyWebAppResetPasswordCode } from '@/service/common' +import I18NContext from '@/context/i18n' + +export default function CheckCode() { + const { t } = useTranslation() + const router = useRouter() + const searchParams = useSearchParams() + const email = decodeURIComponent(searchParams.get('email') as string) + const token = decodeURIComponent(searchParams.get('token') as string) + const [code, setVerifyCode] = useState('') + const [loading, setIsLoading] = useState(false) + const { locale } = useContext(I18NContext) + + const verify = async () => { + try { + if (!code.trim()) { + Toast.notify({ + type: 'error', + message: t('login.checkCode.emptyCode'), + }) + return + } + if (!/\d{6}/.test(code)) { + Toast.notify({ + type: 'error', + message: t('login.checkCode.invalidCode'), + }) + return + } + setIsLoading(true) + const ret = await verifyWebAppResetPasswordCode({ email, code, token }) + if (ret.is_valid) { + const params = new URLSearchParams(searchParams) + params.set('token', encodeURIComponent(ret.token)) + router.push(`/webapp-reset-password/set-password?${params.toString()}`) + } + } + catch (error) { console.error(error) } + finally { + setIsLoading(false) + } + } + + const resendCode = async () => { + try { + const res = await sendWebAppResetPasswordCode(email, locale) + if (res.result === 'success') { + const params = new URLSearchParams(searchParams) + params.set('token', encodeURIComponent(res.data)) + router.replace(`/webapp-reset-password/check-code?${params.toString()}`) + } + } + catch (error) { console.error(error) } + } + + return
+
+ +
+
+

{t('login.checkCode.checkYourEmail')}

+

+ +
+ {t('login.checkCode.validTime')} +

+
+ +
+ + + setVerifyCode(e.target.value)} max-length={6} className='mt-1' placeholder={t('login.checkCode.verificationCodePlaceholder') as string} /> + + + +
+
+
+
router.back()} className='flex h-9 cursor-pointer items-center justify-center text-text-tertiary'> +
+ +
+ {t('login.back')} +
+
+} diff --git a/web/app/(shareLayout)/webapp-reset-password/layout.tsx b/web/app/(shareLayout)/webapp-reset-password/layout.tsx new file mode 100644 index 0000000000..e0ac6b9ad6 --- /dev/null +++ b/web/app/(shareLayout)/webapp-reset-password/layout.tsx @@ -0,0 +1,30 @@ +'use client' +import Header from '@/app/signin/_header' + +import cn from '@/utils/classnames' +import { useGlobalPublicStore } from '@/context/global-public-context' + +export default function SignInLayout({ children }: any) { + const { systemFeatures } = useGlobalPublicStore() + return <> +
+
+
+
+
+ {children} +
+
+ {!systemFeatures.branding.enabled &&
+ © {new Date().getFullYear()} LangGenius, Inc. All rights reserved. +
} +
+
+ +} diff --git a/web/app/(shareLayout)/webapp-reset-password/page.tsx b/web/app/(shareLayout)/webapp-reset-password/page.tsx new file mode 100644 index 0000000000..96cd4c5805 --- /dev/null +++ b/web/app/(shareLayout)/webapp-reset-password/page.tsx @@ -0,0 +1,104 @@ +'use client' +import Link from 'next/link' +import { RiArrowLeftLine, RiLockPasswordLine } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { useState } from 'react' +import { useRouter, useSearchParams } from 'next/navigation' +import { useContext } from 'use-context-selector' +import { COUNT_DOWN_KEY, COUNT_DOWN_TIME_MS } from '@/app/components/signin/countdown' +import { emailRegex } from '@/config' +import Button from '@/app/components/base/button' +import Input from '@/app/components/base/input' +import Toast from '@/app/components/base/toast' +import { sendResetPasswordCode } from '@/service/common' +import I18NContext from '@/context/i18n' +import { noop } from 'lodash-es' +import useDocumentTitle from '@/hooks/use-document-title' + +export default function CheckCode() { + const { t } = useTranslation() + useDocumentTitle('') + const searchParams = useSearchParams() + const router = useRouter() + const [email, setEmail] = useState('') + const [loading, setIsLoading] = useState(false) + const { locale } = useContext(I18NContext) + + const handleGetEMailVerificationCode = async () => { + try { + if (!email) { + Toast.notify({ type: 'error', message: t('login.error.emailEmpty') }) + return + } + + if (!emailRegex.test(email)) { + Toast.notify({ + type: 'error', + message: t('login.error.emailInValid'), + }) + return + } + setIsLoading(true) + const res = await sendResetPasswordCode(email, locale) + if (res.result === 'success') { + localStorage.setItem(COUNT_DOWN_KEY, `${COUNT_DOWN_TIME_MS}`) + const params = new URLSearchParams(searchParams) + params.set('token', encodeURIComponent(res.data)) + params.set('email', encodeURIComponent(email)) + router.push(`/webapp-reset-password/check-code?${params.toString()}`) + } + else if (res.code === 'account_not_found') { + Toast.notify({ + type: 'error', + message: t('login.error.registrationNotAllowed'), + }) + } + else { + Toast.notify({ + type: 'error', + message: res.data, + }) + } + } + catch (error) { + console.error(error) + } + finally { + setIsLoading(false) + } + } + + return
+
+ +
+
+

{t('login.resetPassword')}

+

+ {t('login.resetPasswordDesc')} +

+
+ +
+ +
+ +
+ setEmail(e.target.value)} /> +
+
+ +
+
+
+
+
+
+ +
+ +
+ {t('login.backToLogin')} + +
+} diff --git a/web/app/(shareLayout)/webapp-reset-password/set-password/page.tsx b/web/app/(shareLayout)/webapp-reset-password/set-password/page.tsx new file mode 100644 index 0000000000..9f9a8ad4e3 --- /dev/null +++ b/web/app/(shareLayout)/webapp-reset-password/set-password/page.tsx @@ -0,0 +1,188 @@ +'use client' +import { useCallback, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useRouter, useSearchParams } from 'next/navigation' +import cn from 'classnames' +import { RiCheckboxCircleFill } from '@remixicon/react' +import { useCountDown } from 'ahooks' +import Button from '@/app/components/base/button' +import { changeWebAppPasswordWithToken } from '@/service/common' +import Toast from '@/app/components/base/toast' +import Input from '@/app/components/base/input' + +const validPassword = /^(?=.*[a-zA-Z])(?=.*\d).{8,}$/ + +const ChangePasswordForm = () => { + const { t } = useTranslation() + const router = useRouter() + const searchParams = useSearchParams() + const token = decodeURIComponent(searchParams.get('token') || '') + + const [password, setPassword] = useState('') + const [confirmPassword, setConfirmPassword] = useState('') + const [showSuccess, setShowSuccess] = useState(false) + const [showPassword, setShowPassword] = useState(false) + const [showConfirmPassword, setShowConfirmPassword] = useState(false) + + const showErrorMessage = useCallback((message: string) => { + Toast.notify({ + type: 'error', + message, + }) + }, []) + + const getSignInUrl = () => { + return `/webapp-signin?redirect_url=${searchParams.get('redirect_url') || ''}` + } + + const AUTO_REDIRECT_TIME = 5000 + const [leftTime, setLeftTime] = useState(undefined) + const [countdown] = useCountDown({ + leftTime, + onEnd: () => { + router.replace(getSignInUrl()) + }, + }) + + const valid = useCallback(() => { + if (!password.trim()) { + showErrorMessage(t('login.error.passwordEmpty')) + return false + } + if (!validPassword.test(password)) { + showErrorMessage(t('login.error.passwordInvalid')) + return false + } + if (password !== confirmPassword) { + showErrorMessage(t('common.account.notEqual')) + return false + } + return true + }, [password, confirmPassword, showErrorMessage, t]) + + const handleChangePassword = useCallback(async () => { + if (!valid()) + return + try { + await changeWebAppPasswordWithToken({ + url: '/forgot-password/resets', + body: { + token, + new_password: password, + password_confirm: confirmPassword, + }, + }) + setShowSuccess(true) + setLeftTime(AUTO_REDIRECT_TIME) + } + catch (error) { + console.error(error) + } + }, [password, token, valid, confirmPassword]) + + return ( +
+ {!showSuccess && ( +
+
+

+ {t('login.changePassword')} +

+

+ {t('login.changePasswordTip')} +

+
+ +
+
+ {/* Password */} +
+ +
+ setPassword(e.target.value)} + placeholder={t('login.passwordPlaceholder') || ''} + /> + +
+ +
+
+
{t('login.error.passwordInvalid')}
+
+ {/* Confirm Password */} +
+ +
+ setConfirmPassword(e.target.value)} + placeholder={t('login.confirmPasswordPlaceholder') || ''} + /> +
+ +
+
+
+
+ +
+
+
+
+ )} + {showSuccess && ( +
+
+
+ +
+

+ {t('login.passwordChangedTip')} +

+
+
+ +
+
+ )} +
+ ) +} + +export default ChangePasswordForm diff --git a/web/app/(shareLayout)/webapp-signin/check-code/page.tsx b/web/app/(shareLayout)/webapp-signin/check-code/page.tsx new file mode 100644 index 0000000000..1b8f18c98f --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/check-code/page.tsx @@ -0,0 +1,115 @@ +'use client' +import { RiArrowLeftLine, RiMailSendFill } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { useCallback, useState } from 'react' +import { useRouter, useSearchParams } from 'next/navigation' +import { useContext } from 'use-context-selector' +import Countdown from '@/app/components/signin/countdown' +import Button from '@/app/components/base/button' +import Input from '@/app/components/base/input' +import Toast from '@/app/components/base/toast' +import { sendWebAppEMailLoginCode, webAppEmailLoginWithCode } from '@/service/common' +import I18NContext from '@/context/i18n' +import { setAccessToken } from '@/app/components/share/utils' +import { fetchAccessToken } from '@/service/share' + +export default function CheckCode() { + const { t } = useTranslation() + const router = useRouter() + const searchParams = useSearchParams() + const email = decodeURIComponent(searchParams.get('email') as string) + const token = decodeURIComponent(searchParams.get('token') as string) + const [code, setVerifyCode] = useState('') + const [loading, setIsLoading] = useState(false) + const { locale } = useContext(I18NContext) + const redirectUrl = searchParams.get('redirect_url') + + const getAppCodeFromRedirectUrl = useCallback(() => { + const appCode = redirectUrl?.split('/').pop() + if (!appCode) + return null + + return appCode + }, [redirectUrl]) + + const verify = async () => { + try { + const appCode = getAppCodeFromRedirectUrl() + if (!code.trim()) { + Toast.notify({ + type: 'error', + message: t('login.checkCode.emptyCode'), + }) + return + } + if (!/\d{6}/.test(code)) { + Toast.notify({ + type: 'error', + message: t('login.checkCode.invalidCode'), + }) + return + } + if (!redirectUrl || !appCode) { + Toast.notify({ + type: 'error', + message: t('login.error.redirectUrlMissing'), + }) + return + } + setIsLoading(true) + const ret = await webAppEmailLoginWithCode({ email, code, token }) + if (ret.result === 'success') { + localStorage.setItem('webapp_access_token', ret.data.access_token) + const tokenResp = await fetchAccessToken({ appCode, webAppAccessToken: ret.data.access_token }) + await setAccessToken(appCode, tokenResp.access_token) + router.replace(redirectUrl) + } + } + catch (error) { console.error(error) } + finally { + setIsLoading(false) + } + } + + const resendCode = async () => { + try { + const ret = await sendWebAppEMailLoginCode(email, locale) + if (ret.result === 'success') { + const params = new URLSearchParams(searchParams) + params.set('token', encodeURIComponent(ret.data)) + router.replace(`/webapp-signin/check-code?${params.toString()}`) + } + } + catch (error) { console.error(error) } + } + + return
+
+ +
+
+

{t('login.checkCode.checkYourEmail')}

+

+ +
+ {t('login.checkCode.validTime')} +

+
+ +
+ + setVerifyCode(e.target.value)} max-length={6} className='mt-1' placeholder={t('login.checkCode.verificationCodePlaceholder') as string} /> + + + +
+
+
+
router.back()} className='flex h-9 cursor-pointer items-center justify-center text-text-tertiary'> +
+ +
+ {t('login.back')} +
+
+} diff --git a/web/app/(shareLayout)/webapp-signin/components/external-member-sso-auth.tsx b/web/app/(shareLayout)/webapp-signin/components/external-member-sso-auth.tsx new file mode 100644 index 0000000000..e9b15ae331 --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/components/external-member-sso-auth.tsx @@ -0,0 +1,80 @@ +'use client' +import { useRouter, useSearchParams } from 'next/navigation' +import React, { useCallback, useEffect } from 'react' +import Toast from '@/app/components/base/toast' +import { fetchWebOAuth2SSOUrl, fetchWebOIDCSSOUrl, fetchWebSAMLSSOUrl } from '@/service/share' +import { useGlobalPublicStore } from '@/context/global-public-context' +import { SSOProtocol } from '@/types/feature' +import Loading from '@/app/components/base/loading' +import AppUnavailable from '@/app/components/base/app-unavailable' + +const ExternalMemberSSOAuth = () => { + const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) + const searchParams = useSearchParams() + const router = useRouter() + + const redirectUrl = searchParams.get('redirect_url') + + const showErrorToast = (message: string) => { + Toast.notify({ + type: 'error', + message, + }) + } + + const getAppCodeFromRedirectUrl = useCallback(() => { + const appCode = redirectUrl?.split('/').pop() + if (!appCode) + return null + + return appCode + }, [redirectUrl]) + + const handleSSOLogin = useCallback(async () => { + const appCode = getAppCodeFromRedirectUrl() + if (!appCode || !redirectUrl) { + showErrorToast('redirect url or app code is invalid.') + return + } + + switch (systemFeatures.webapp_auth.sso_config.protocol) { + case SSOProtocol.SAML: { + const samlRes = await fetchWebSAMLSSOUrl(appCode, redirectUrl) + router.push(samlRes.url) + break + } + case SSOProtocol.OIDC: { + const oidcRes = await fetchWebOIDCSSOUrl(appCode, redirectUrl) + router.push(oidcRes.url) + break + } + case SSOProtocol.OAuth2: { + const oauth2Res = await fetchWebOAuth2SSOUrl(appCode, redirectUrl) + router.push(oauth2Res.url) + break + } + case '': + break + default: + showErrorToast('SSO protocol is not supported.') + } + }, [getAppCodeFromRedirectUrl, redirectUrl, router, systemFeatures.webapp_auth.sso_config.protocol]) + + useEffect(() => { + handleSSOLogin() + }, [handleSSOLogin]) + + if (!systemFeatures.webapp_auth.sso_config.protocol) { + return
+ +
+ } + + return ( +
+ +
+ ) +} + +export default React.memo(ExternalMemberSSOAuth) diff --git a/web/app/(shareLayout)/webapp-signin/components/mail-and-code-auth.tsx b/web/app/(shareLayout)/webapp-signin/components/mail-and-code-auth.tsx new file mode 100644 index 0000000000..29af3e3a57 --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/components/mail-and-code-auth.tsx @@ -0,0 +1,68 @@ +import { useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useRouter, useSearchParams } from 'next/navigation' +import { useContext } from 'use-context-selector' +import Input from '@/app/components/base/input' +import Button from '@/app/components/base/button' +import { emailRegex } from '@/config' +import Toast from '@/app/components/base/toast' +import { sendWebAppEMailLoginCode } from '@/service/common' +import { COUNT_DOWN_KEY, COUNT_DOWN_TIME_MS } from '@/app/components/signin/countdown' +import I18NContext from '@/context/i18n' +import { noop } from 'lodash-es' + +export default function MailAndCodeAuth() { + const { t } = useTranslation() + const router = useRouter() + const searchParams = useSearchParams() + const emailFromLink = decodeURIComponent(searchParams.get('email') || '') + const [email, setEmail] = useState(emailFromLink) + const [loading, setIsLoading] = useState(false) + const { locale } = useContext(I18NContext) + + const handleGetEMailVerificationCode = async () => { + try { + if (!email) { + Toast.notify({ type: 'error', message: t('login.error.emailEmpty') }) + return + } + + if (!emailRegex.test(email)) { + Toast.notify({ + type: 'error', + message: t('login.error.emailInValid'), + }) + return + } + setIsLoading(true) + const ret = await sendWebAppEMailLoginCode(email, locale) + if (ret.result === 'success') { + localStorage.setItem(COUNT_DOWN_KEY, `${COUNT_DOWN_TIME_MS}`) + const params = new URLSearchParams(searchParams) + params.set('email', encodeURIComponent(email)) + params.set('token', encodeURIComponent(ret.data)) + router.push(`/webapp-signin/check-code?${params.toString()}`) + } + } + catch (error) { + console.error(error) + } + finally { + setIsLoading(false) + } + } + + return (
+ +
+ +
+ setEmail(e.target.value)} /> +
+
+ +
+
+
+ ) +} diff --git a/web/app/(shareLayout)/webapp-signin/components/mail-and-password-auth.tsx b/web/app/(shareLayout)/webapp-signin/components/mail-and-password-auth.tsx new file mode 100644 index 0000000000..d9e56af1b8 --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/components/mail-and-password-auth.tsx @@ -0,0 +1,171 @@ +import Link from 'next/link' +import { useCallback, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useRouter, useSearchParams } from 'next/navigation' +import { useContext } from 'use-context-selector' +import Button from '@/app/components/base/button' +import Toast from '@/app/components/base/toast' +import { emailRegex } from '@/config' +import { webAppLogin } from '@/service/common' +import Input from '@/app/components/base/input' +import I18NContext from '@/context/i18n' +import { noop } from 'lodash-es' +import { setAccessToken } from '@/app/components/share/utils' +import { fetchAccessToken } from '@/service/share' + +type MailAndPasswordAuthProps = { + isEmailSetup: boolean +} + +const passwordRegex = /^(?=.*[a-zA-Z])(?=.*\d).{8,}$/ + +export default function MailAndPasswordAuth({ isEmailSetup }: MailAndPasswordAuthProps) { + const { t } = useTranslation() + const { locale } = useContext(I18NContext) + const router = useRouter() + const searchParams = useSearchParams() + const [showPassword, setShowPassword] = useState(false) + const emailFromLink = decodeURIComponent(searchParams.get('email') || '') + const [email, setEmail] = useState(emailFromLink) + const [password, setPassword] = useState('') + + const [isLoading, setIsLoading] = useState(false) + const redirectUrl = searchParams.get('redirect_url') + + const getAppCodeFromRedirectUrl = useCallback(() => { + const appCode = redirectUrl?.split('/').pop() + if (!appCode) + return null + + return appCode + }, [redirectUrl]) + const handleEmailPasswordLogin = async () => { + const appCode = getAppCodeFromRedirectUrl() + if (!email) { + Toast.notify({ type: 'error', message: t('login.error.emailEmpty') }) + return + } + if (!emailRegex.test(email)) { + Toast.notify({ + type: 'error', + message: t('login.error.emailInValid'), + }) + return + } + if (!password?.trim()) { + Toast.notify({ type: 'error', message: t('login.error.passwordEmpty') }) + return + } + if (!passwordRegex.test(password)) { + Toast.notify({ + type: 'error', + message: t('login.error.passwordInvalid'), + }) + return + } + if (!redirectUrl || !appCode) { + Toast.notify({ + type: 'error', + message: t('login.error.redirectUrlMissing'), + }) + return + } + try { + setIsLoading(true) + const loginData: Record = { + email, + password, + language: locale, + remember_me: true, + } + + const res = await webAppLogin({ + url: '/login', + body: loginData, + }) + if (res.result === 'success') { + localStorage.setItem('webapp_access_token', res.data.access_token) + const tokenResp = await fetchAccessToken({ appCode, webAppAccessToken: res.data.access_token }) + await setAccessToken(appCode, tokenResp.access_token) + router.replace(redirectUrl) + } + else { + Toast.notify({ + type: 'error', + message: res.data, + }) + } + } + + finally { + setIsLoading(false) + } + } + + return
+
+ +
+ setEmail(e.target.value)} + id="email" + type="email" + autoComplete="email" + placeholder={t('login.emailPlaceholder') || ''} + tabIndex={1} + /> +
+
+ +
+ +
+ setPassword(e.target.value)} + onKeyDown={(e) => { + if (e.key === 'Enter') + handleEmailPasswordLogin() + }} + type={showPassword ? 'text' : 'password'} + autoComplete="current-password" + placeholder={t('login.passwordPlaceholder') || ''} + tabIndex={2} + /> +
+ +
+
+
+ +
+ +
+
+} diff --git a/web/app/(shareLayout)/webapp-signin/components/sso-auth.tsx b/web/app/(shareLayout)/webapp-signin/components/sso-auth.tsx new file mode 100644 index 0000000000..5d649322ba --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/components/sso-auth.tsx @@ -0,0 +1,88 @@ +'use client' +import { useRouter, useSearchParams } from 'next/navigation' +import type { FC } from 'react' +import { useCallback } from 'react' +import { useState } from 'react' +import { useTranslation } from 'react-i18next' +import { Lock01 } from '@/app/components/base/icons/src/vender/solid/security' +import Toast from '@/app/components/base/toast' +import Button from '@/app/components/base/button' +import { SSOProtocol } from '@/types/feature' +import { fetchMembersOAuth2SSOUrl, fetchMembersOIDCSSOUrl, fetchMembersSAMLSSOUrl } from '@/service/share' + +type SSOAuthProps = { + protocol: SSOProtocol | '' +} + +const SSOAuth: FC = ({ + protocol, +}) => { + const router = useRouter() + const { t } = useTranslation() + const searchParams = useSearchParams() + + const redirectUrl = searchParams.get('redirect_url') + const getAppCodeFromRedirectUrl = useCallback(() => { + const appCode = redirectUrl?.split('/').pop() + if (!appCode) + return null + + return appCode + }, [redirectUrl]) + + const [isLoading, setIsLoading] = useState(false) + + const handleSSOLogin = () => { + const appCode = getAppCodeFromRedirectUrl() + if (!redirectUrl || !appCode) { + Toast.notify({ + type: 'error', + message: 'invalid redirect URL or app code', + }) + return + } + setIsLoading(true) + if (protocol === SSOProtocol.SAML) { + fetchMembersSAMLSSOUrl(appCode, redirectUrl).then((res) => { + router.push(res.url) + }).finally(() => { + setIsLoading(false) + }) + } + else if (protocol === SSOProtocol.OIDC) { + fetchMembersOIDCSSOUrl(appCode, redirectUrl).then((res) => { + router.push(res.url) + }).finally(() => { + setIsLoading(false) + }) + } + else if (protocol === SSOProtocol.OAuth2) { + fetchMembersOAuth2SSOUrl(appCode, redirectUrl).then((res) => { + router.push(res.url) + }).finally(() => { + setIsLoading(false) + }) + } + else { + Toast.notify({ + type: 'error', + message: 'invalid SSO protocol', + }) + setIsLoading(false) + } + } + + return ( + + ) +} + +export default SSOAuth diff --git a/web/app/(shareLayout)/webapp-signin/layout.tsx b/web/app/(shareLayout)/webapp-signin/layout.tsx new file mode 100644 index 0000000000..a03364d326 --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/layout.tsx @@ -0,0 +1,25 @@ +'use client' + +import cn from '@/utils/classnames' +import { useGlobalPublicStore } from '@/context/global-public-context' +import useDocumentTitle from '@/hooks/use-document-title' + +export default function SignInLayout({ children }: any) { + const { systemFeatures } = useGlobalPublicStore() + useDocumentTitle('') + return <> +
+
+ {/*
*/} +
+
+ {children} +
+
+ {systemFeatures.branding.enabled === false &&
+ © {new Date().getFullYear()} LangGenius, Inc. All rights reserved. +
} +
+
+ +} diff --git a/web/app/(shareLayout)/webapp-signin/normalForm.tsx b/web/app/(shareLayout)/webapp-signin/normalForm.tsx new file mode 100644 index 0000000000..d6bdf607ba --- /dev/null +++ b/web/app/(shareLayout)/webapp-signin/normalForm.tsx @@ -0,0 +1,176 @@ +import React, { useCallback, useEffect, useState } from 'react' +import { useTranslation } from 'react-i18next' +import Link from 'next/link' +import { RiContractLine, RiDoorLockLine, RiErrorWarningFill } from '@remixicon/react' +import Loading from '@/app/components/base/loading' +import MailAndCodeAuth from './components/mail-and-code-auth' +import MailAndPasswordAuth from './components/mail-and-password-auth' +import SSOAuth from './components/sso-auth' +import cn from '@/utils/classnames' +import { LicenseStatus } from '@/types/feature' +import { IS_CE_EDITION } from '@/config' +import { useGlobalPublicStore } from '@/context/global-public-context' + +const NormalForm = () => { + const { t } = useTranslation() + + const [isLoading, setIsLoading] = useState(true) + const { systemFeatures } = useGlobalPublicStore() + const [authType, updateAuthType] = useState<'code' | 'password'>('password') + const [showORLine, setShowORLine] = useState(false) + const [allMethodsAreDisabled, setAllMethodsAreDisabled] = useState(false) + + const init = useCallback(async () => { + try { + setAllMethodsAreDisabled(!systemFeatures.enable_social_oauth_login && !systemFeatures.enable_email_code_login && !systemFeatures.enable_email_password_login && !systemFeatures.sso_enforced_for_signin) + setShowORLine((systemFeatures.enable_social_oauth_login || systemFeatures.sso_enforced_for_signin) && (systemFeatures.enable_email_code_login || systemFeatures.enable_email_password_login)) + updateAuthType(systemFeatures.enable_email_password_login ? 'password' : 'code') + } + catch (error) { + console.error(error) + setAllMethodsAreDisabled(true) + } + finally { setIsLoading(false) } + }, [systemFeatures]) + useEffect(() => { + init() + }, [init]) + if (isLoading) { + return
+ +
+ } + if (systemFeatures.license?.status === LicenseStatus.LOST) { + return
+
+
+
+ + +
+

{t('login.licenseLost')}

+

{t('login.licenseLostTip')}

+
+
+
+ } + if (systemFeatures.license?.status === LicenseStatus.EXPIRED) { + return
+
+
+
+ + +
+

{t('login.licenseExpired')}

+

{t('login.licenseExpiredTip')}

+
+
+
+ } + if (systemFeatures.license?.status === LicenseStatus.INACTIVE) { + return
+
+
+
+ + +
+

{t('login.licenseInactive')}

+

{t('login.licenseInactiveTip')}

+
+
+
+ } + + return ( + <> +
+
+

{t('login.pageTitle')}

+ {!systemFeatures.branding.enabled &&

{t('login.welcome')}

} +
+
+
+ {systemFeatures.sso_enforced_for_signin &&
+ +
} +
+ + {showORLine &&
+ +
+ {t('login.or')} +
+
} + { + (systemFeatures.enable_email_code_login || systemFeatures.enable_email_password_login) && <> + {systemFeatures.enable_email_code_login && authType === 'code' && <> + + {systemFeatures.enable_email_password_login &&
{ updateAuthType('password') }}> + {t('login.usePassword')} +
} + } + {systemFeatures.enable_email_password_login && authType === 'password' && <> + + {systemFeatures.enable_email_code_login &&
{ updateAuthType('code') }}> + {t('login.useVerificationCode')} +
} + } + + } + {allMethodsAreDisabled && <> +
+
+ +
+

{t('login.noLoginMethod')}

+

{t('login.noLoginMethodTip')}

+
+
+ +
+ } + {!systemFeatures.branding.enabled && <> +
+ {t('login.tosDesc')} +   + {t('login.tos')} +  &  + {t('login.pp')} +
+ {IS_CE_EDITION &&
+ {t('login.goToInit')} +   + {t('login.setAdminAccount')} +
} + } + +
+
+ + ) +} + +export default NormalForm diff --git a/web/app/(shareLayout)/webapp-signin/page.tsx b/web/app/(shareLayout)/webapp-signin/page.tsx index 668c3f312c..c12fde38dd 100644 --- a/web/app/(shareLayout)/webapp-signin/page.tsx +++ b/web/app/(shareLayout)/webapp-signin/page.tsx @@ -3,19 +3,20 @@ import { useRouter, useSearchParams } from 'next/navigation' import type { FC } from 'react' import React, { useCallback, useEffect } from 'react' import { useTranslation } from 'react-i18next' -import { RiDoorLockLine } from '@remixicon/react' -import cn from '@/utils/classnames' import Toast from '@/app/components/base/toast' -import { fetchWebOAuth2SSOUrl, fetchWebOIDCSSOUrl, fetchWebSAMLSSOUrl } from '@/service/share' -import { setAccessToken } from '@/app/components/share/utils' +import { removeAccessToken, setAccessToken } from '@/app/components/share/utils' import { useGlobalPublicStore } from '@/context/global-public-context' -import { SSOProtocol } from '@/types/feature' import Loading from '@/app/components/base/loading' import AppUnavailable from '@/app/components/base/app-unavailable' +import NormalForm from './normalForm' +import { AccessMode } from '@/models/access-control' +import ExternalMemberSsoAuth from './components/external-member-sso-auth' +import { fetchAccessToken } from '@/service/share' const WebSSOForm: FC = () => { const { t } = useTranslation() const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) + const webAppAccessMode = useGlobalPublicStore(s => s.webAppAccessMode) const searchParams = useSearchParams() const router = useRouter() @@ -23,10 +24,22 @@ const WebSSOForm: FC = () => { const tokenFromUrl = searchParams.get('web_sso_token') const message = searchParams.get('message') - const showErrorToast = (message: string) => { + const getSigninUrl = useCallback(() => { + const params = new URLSearchParams(searchParams) + params.delete('message') + return `/webapp-signin?${params.toString()}` + }, [searchParams]) + + const backToHome = useCallback(() => { + removeAccessToken() + const url = getSigninUrl() + router.replace(url) + }, [getSigninUrl, router]) + + const showErrorToast = (msg: string) => { Toast.notify({ type: 'error', - message, + message: msg, }) } @@ -38,102 +51,73 @@ const WebSSOForm: FC = () => { return appCode }, [redirectUrl]) - const processTokenAndRedirect = useCallback(async () => { - const appCode = getAppCodeFromRedirectUrl() - if (!appCode || !tokenFromUrl || !redirectUrl) { - showErrorToast('redirect url or app code or token is invalid.') - return - } - - await setAccessToken(appCode, tokenFromUrl) - router.push(redirectUrl) - }, [getAppCodeFromRedirectUrl, redirectUrl, router, tokenFromUrl]) - - const handleSSOLogin = useCallback(async () => { - const appCode = getAppCodeFromRedirectUrl() - if (!appCode || !redirectUrl) { - showErrorToast('redirect url or app code is invalid.') - return - } - - switch (systemFeatures.webapp_auth.sso_config.protocol) { - case SSOProtocol.SAML: { - const samlRes = await fetchWebSAMLSSOUrl(appCode, redirectUrl) - router.push(samlRes.url) - break - } - case SSOProtocol.OIDC: { - const oidcRes = await fetchWebOIDCSSOUrl(appCode, redirectUrl) - router.push(oidcRes.url) - break - } - case SSOProtocol.OAuth2: { - const oauth2Res = await fetchWebOAuth2SSOUrl(appCode, redirectUrl) - router.push(oauth2Res.url) - break - } - case '': - break - default: - showErrorToast('SSO protocol is not supported.') - } - }, [getAppCodeFromRedirectUrl, redirectUrl, router, systemFeatures.webapp_auth.sso_config.protocol]) - useEffect(() => { - const init = async () => { - if (message) { - showErrorToast(message) + (async () => { + if (message) return - } - if (!tokenFromUrl) { - await handleSSOLogin() + const appCode = getAppCodeFromRedirectUrl() + if (appCode && tokenFromUrl && redirectUrl) { + localStorage.setItem('webapp_access_token', tokenFromUrl) + const tokenResp = await fetchAccessToken({ appCode, webAppAccessToken: tokenFromUrl }) + await setAccessToken(appCode, tokenResp.access_token) + router.replace(redirectUrl) return } + if (appCode && redirectUrl && localStorage.getItem('webapp_access_token')) { + const tokenResp = await fetchAccessToken({ appCode, webAppAccessToken: localStorage.getItem('webapp_access_token') }) + await setAccessToken(appCode, tokenResp.access_token) + router.replace(redirectUrl) + } + })() + }, [getAppCodeFromRedirectUrl, redirectUrl, router, tokenFromUrl, message]) - await processTokenAndRedirect() - } + useEffect(() => { + if (webAppAccessMode && webAppAccessMode === AccessMode.PUBLIC && redirectUrl) + router.replace(redirectUrl) + }, [webAppAccessMode, router, redirectUrl]) - init() - }, [message, processTokenAndRedirect, tokenFromUrl, handleSSOLogin]) - if (tokenFromUrl) - return
- if (message) { + if (tokenFromUrl) { return
- +
} - if (systemFeatures.webapp_auth.enabled) { - if (systemFeatures.webapp_auth.allow_sso) { - return ( -
-
- -
-
- ) - } - return
-
-
- -
-

{t('login.webapp.noLoginMethod')}

-

{t('login.webapp.noLoginMethodTip')}

-
-
- -
+ if (message) { + return
+ + {t('share.login.backToHome')} +
+ } + if (!redirectUrl) { + showErrorToast('redirect url is invalid.') + return
+ +
+ } + if (webAppAccessMode && webAppAccessMode === AccessMode.PUBLIC) { + return
+
} - else { + if (!systemFeatures.webapp_auth.enabled) { return

{t('login.webapp.disabled')}

} + if (webAppAccessMode && (webAppAccessMode === AccessMode.ORGANIZATION || webAppAccessMode === AccessMode.SPECIFIC_GROUPS_MEMBERS)) { + return
+ +
+ } + + if (webAppAccessMode && webAppAccessMode === AccessMode.EXTERNAL_MEMBERS) + return + + return
+ + {t('share.login.backToHome')} +
} export default React.memo(WebSSOForm) diff --git a/web/app/account/header.tsx b/web/app/account/header.tsx index 11b6beec08..d033bfab61 100644 --- a/web/app/account/header.tsx +++ b/web/app/account/header.tsx @@ -6,10 +6,12 @@ import Button from '../components/base/button' import Avatar from './avatar' import DifyLogo from '@/app/components/base/logo/dify-logo' import { useCallback } from 'react' +import { useGlobalPublicStore } from '@/context/global-public-context' const Header = () => { const { t } = useTranslation() const router = useRouter() + const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) const back = useCallback(() => { router.back() @@ -19,7 +21,13 @@ const Header = () => {
- + {systemFeatures.branding.enabled && systemFeatures.branding.login_page_logo + ? Dify logo + : }

{t('common.account.account')}

diff --git a/web/app/components/app/annotation/index.tsx b/web/app/components/app/annotation/index.tsx index f010f5f8b1..04bce1947b 100644 --- a/web/app/components/app/annotation/index.tsx +++ b/web/app/components/app/annotation/index.tsx @@ -31,126 +31,98 @@ type Props = { appDetail: App } -const Annotation: FC = ({ - appDetail, -}) => { +const Annotation: FC = (props) => { + const { appDetail } = props const { t } = useTranslation() - const [isShowEdit, setIsShowEdit] = React.useState(false) + const [isShowEdit, setIsShowEdit] = useState(false) const [annotationConfig, setAnnotationConfig] = useState(null) - const [isChatApp, setIsChatApp] = useState(false) + const [isChatApp] = useState(appDetail.mode !== 'completion') + const [controlRefreshSwitch, setControlRefreshSwitch] = useState(Date.now()) + const { plan, enableBilling } = useProviderContext() + const isAnnotationFull = enableBilling && plan.usage.annotatedResponse >= plan.total.annotatedResponse + const [isShowAnnotationFullModal, setIsShowAnnotationFullModal] = useState(false) + const [queryParams, setQueryParams] = useState({}) + const [currPage, setCurrPage] = useState(0) + const [limit, setLimit] = useState(APP_PAGE_LIMIT) + const [list, setList] = useState([]) + const [total, setTotal] = useState(0) + const [isLoading, setIsLoading] = useState(false) + const [controlUpdateList, setControlUpdateList] = useState(Date.now()) + const [currItem, setCurrItem] = useState(null) + const [isShowViewModal, setIsShowViewModal] = useState(false) + const debouncedQueryParams = useDebounce(queryParams, { wait: 500 }) const fetchAnnotationConfig = async () => { const res = await doFetchAnnotationConfig(appDetail.id) setAnnotationConfig(res as AnnotationReplyConfig) return (res as AnnotationReplyConfig).id } + useEffect(() => { - const isChatApp = appDetail.mode !== 'completion' - setIsChatApp(isChatApp) - if (isChatApp) - fetchAnnotationConfig() + if (isChatApp) fetchAnnotationConfig() + // eslint-disable-next-line react-hooks/exhaustive-deps }, []) - const [controlRefreshSwitch, setControlRefreshSwitch] = useState(Date.now()) - const { plan, enableBilling } = useProviderContext() - const isAnnotationFull = (enableBilling && plan.usage.annotatedResponse >= plan.total.annotatedResponse) - const [isShowAnnotationFullModal, setIsShowAnnotationFullModal] = useState(false) + const ensureJobCompleted = async (jobId: string, status: AnnotationEnableStatus) => { - let isCompleted = false - while (!isCompleted) { + while (true) { const res: any = await queryAnnotationJobStatus(appDetail.id, status, jobId) - isCompleted = res.job_status === JobStatus.completed - if (isCompleted) - break - + if (res.job_status === JobStatus.completed) break await sleep(2000) } } - const [queryParams, setQueryParams] = useState({}) - const [currPage, setCurrPage] = React.useState(0) - const debouncedQueryParams = useDebounce(queryParams, { wait: 500 }) - const [limit, setLimit] = React.useState(APP_PAGE_LIMIT) - const query = { - page: currPage + 1, - limit, - keyword: debouncedQueryParams.keyword || '', - } - - const [controlUpdateList, setControlUpdateList] = useState(Date.now()) - const [list, setList] = useState([]) - const [total, setTotal] = useState(10) - const [isLoading, setIsLoading] = useState(false) const fetchList = async (page = 1) => { setIsLoading(true) try { const { data, total }: any = await fetchAnnotationList(appDetail.id, { - ...query, page, + limit, + keyword: debouncedQueryParams.keyword || '', }) setList(data as AnnotationItem[]) setTotal(total) } - catch { - + finally { + setIsLoading(false) } - setIsLoading(false) } useEffect(() => { fetchList(currPage + 1) - }, [currPage]) - - useEffect(() => { - fetchList(1) - setControlUpdateList(Date.now()) - }, [queryParams]) + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [currPage, limit, debouncedQueryParams]) const handleAdd = async (payload: AnnotationItemBasic) => { - await addAnnotation(appDetail.id, { - ...payload, - }) - Toast.notify({ - message: t('common.api.actionSuccess'), - type: 'success', - }) + await addAnnotation(appDetail.id, payload) + Toast.notify({ message: t('common.api.actionSuccess'), type: 'success' }) fetchList() setControlUpdateList(Date.now()) } const handleRemove = async (id: string) => { await delAnnotation(appDetail.id, id) - Toast.notify({ - message: t('common.api.actionSuccess'), - type: 'success', - }) + Toast.notify({ message: t('common.api.actionSuccess'), type: 'success' }) fetchList() setControlUpdateList(Date.now()) } - const [currItem, setCurrItem] = useState(list[0]) - const [isShowViewModal, setIsShowViewModal] = useState(false) - useEffect(() => { - if (!isShowEdit) - setControlRefreshSwitch(Date.now()) - }, [isShowEdit]) const handleView = (item: AnnotationItem) => { setCurrItem(item) setIsShowViewModal(true) } const handleSave = async (question: string, answer: string) => { - await editAnnotation(appDetail.id, (currItem as AnnotationItem).id, { - question, - answer, - }) - Toast.notify({ - message: t('common.api.actionSuccess'), - type: 'success', - }) + if (!currItem) return + await editAnnotation(appDetail.id, currItem.id, { question, answer }) + Toast.notify({ message: t('common.api.actionSuccess'), type: 'success' }) fetchList() setControlUpdateList(Date.now()) } + useEffect(() => { + if (!isShowEdit) setControlRefreshSwitch(Date.now()) + }, [isShowEdit]) + return (

{t('appLog.description')}

@@ -211,6 +183,7 @@ const Annotation: FC = ({ {isLoading ? + // eslint-disable-next-line sonarjs/no-nested-conditional : total > 0 ?
- {t('app.accessControlDialog.title')} - {t('app.accessControlDialog.description')} + {t('app.accessControlDialog.title')} + {t('app.accessControlDialog.description')}
@@ -80,12 +80,20 @@ export default function AccessControl(props: AccessControlProps) {

{t('app.accessControlDialog.accessItems.organization')}

- {!hideTip && }
+ +
+
+ +

{t('app.accessControlDialog.accessItems.external')}

+
+ {!hideTip && } +
+
diff --git a/web/app/components/app/app-access-control/specific-groups-or-members.tsx b/web/app/components/app/app-access-control/specific-groups-or-members.tsx index f4872f8c99..b30c8f1ba3 100644 --- a/web/app/components/app/app-access-control/specific-groups-or-members.tsx +++ b/web/app/components/app/app-access-control/specific-groups-or-members.tsx @@ -3,12 +3,10 @@ import { RiAlertFill, RiCloseCircleFill, RiLockLine, RiOrganizationChart } from import { useTranslation } from 'react-i18next' import { useCallback, useEffect } from 'react' import Avatar from '../../base/avatar' -import Divider from '../../base/divider' import Tooltip from '../../base/tooltip' import Loading from '../../base/loading' import useAccessControlStore from '../../../../context/access-control-store' import AddMemberOrGroupDialog from './add-member-or-group-pop' -import { useGlobalPublicStore } from '@/context/global-public-context' import type { AccessControlAccount, AccessControlGroup } from '@/models/access-control' import { AccessMode } from '@/models/access-control' import { useAppWhiteListSubjects } from '@/service/access-control' @@ -19,11 +17,6 @@ export default function SpecificGroupsOrMembers() { const setSpecificGroups = useAccessControlStore(s => s.setSpecificGroups) const setSpecificMembers = useAccessControlStore(s => s.setSpecificMembers) const { t } = useTranslation() - const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) - const hideTip = systemFeatures.webapp_auth.enabled - && (systemFeatures.webapp_auth.allow_sso - || systemFeatures.webapp_auth.allow_email_password_login - || systemFeatures.webapp_auth.allow_email_code_login) const { isPending, data } = useAppWhiteListSubjects(appId, Boolean(appId) && currentMenu === AccessMode.SPECIFIC_GROUPS_MEMBERS) useEffect(() => { @@ -37,7 +30,6 @@ export default function SpecificGroupsOrMembers() {

{t('app.accessControlDialog.accessItems.specific')}

- {!hideTip && }
} @@ -48,10 +40,6 @@ export default function SpecificGroupsOrMembers() {

{t('app.accessControlDialog.accessItems.specific')}

- {!hideTip && <> - - - }
diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx index 8d0028c7d7..5825bb72ee 100644 --- a/web/app/components/app/app-publisher/index.tsx +++ b/web/app/components/app/app-publisher/index.tsx @@ -9,11 +9,14 @@ import dayjs from 'dayjs' import { RiArrowDownSLine, RiArrowRightSLine, + RiBuildingLine, + RiGlobalLine, RiLockLine, RiPlanetLine, RiPlayCircleLine, RiPlayList2Line, RiTerminalBoxLine, + RiVerifiedBadgeLine, } from '@remixicon/react' import { useKeyPress } from 'ahooks' import { getKeyboardKeyCodeBySystem } from '../../workflow/utils' @@ -276,10 +279,30 @@ const AppPublisher = ({ setShowAppAccessControl(true) }}>
- - {appDetail?.access_mode === AccessMode.ORGANIZATION &&

{t('app.accessControlDialog.accessItems.organization')}

} - {appDetail?.access_mode === AccessMode.SPECIFIC_GROUPS_MEMBERS &&

{t('app.accessControlDialog.accessItems.specific')}

} - {appDetail?.access_mode === AccessMode.PUBLIC &&

{t('app.accessControlDialog.accessItems.anyone')}

} + {appDetail?.access_mode === AccessMode.ORGANIZATION + && <> + +

{t('app.accessControlDialog.accessItems.organization')}

+ + } + {appDetail?.access_mode === AccessMode.SPECIFIC_GROUPS_MEMBERS + && <> + +

{t('app.accessControlDialog.accessItems.specific')}

+ + } + {appDetail?.access_mode === AccessMode.PUBLIC + && <> + +

{t('app.accessControlDialog.accessItems.anyone')}

+ + } + {appDetail?.access_mode === AccessMode.EXTERNAL_MEMBERS + && <> + +

{t('app.accessControlDialog.accessItems.external')}

+ + }
{!isAppAccessSet &&

{t('app.publishApp.notSet')}

}
diff --git a/web/app/components/app/configuration/config-var/config-modal/index.tsx b/web/app/components/app/configuration/config-var/config-modal/index.tsx index 4b6bfdacd6..29cbc55b90 100644 --- a/web/app/components/app/configuration/config-var/config-modal/index.tsx +++ b/web/app/components/app/configuration/config-var/config-modal/index.tsx @@ -234,9 +234,14 @@ const ConfigModal: FC = ({ )}
- handlePayloadChange('required')(!tempPayload.required)} /> + handlePayloadChange('required')(!tempPayload.required)} /> {t('appDebug.variableConfig.required')}
+ +
+ handlePayloadChange('hide')(!tempPayload.hide)} /> + {t('appDebug.variableConfig.hide')} +
{ @@ -39,7 +40,6 @@ const AgentTools: FC = () => { const [isShowChooseTool, setIsShowChooseTool] = useState(false) const { modelConfig, setModelConfig, collectionList } = useContext(ConfigContext) const formattingChangedDispatcher = useFormattingChangedDispatcher() - const [currentTool, setCurrentTool] = useState(null) const currentCollection = useMemo(() => { if (!currentTool) return null @@ -61,6 +61,17 @@ const AgentTools: FC = () => { collection, } }) + const useSubscribe = useMittContextSelector(s => s.useSubscribe) + const handleUpdateToolsWhenInstallToolSuccess = useCallback((installedPluginNames: string[]) => { + const newModelConfig = produce(modelConfig, (draft) => { + draft.agentConfig.tools.forEach((item: any) => { + if (item.isDeleted && installedPluginNames.includes(item.provider_id)) + item.isDeleted = false + }) + }) + setModelConfig(newModelConfig) + }, [modelConfig, setModelConfig]) + useSubscribe('plugin:install:success', handleUpdateToolsWhenInstallToolSuccess as any) const handleToolSettingChange = (value: Record) => { const newModelConfig = produce(modelConfig, (draft) => { @@ -132,7 +143,7 @@ const AgentTools: FC = () => { disabled={false} supportAddCustomTool onSelect={handleSelectTool} - selectedTools={tools} + selectedTools={tools as any} /> )} diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/index.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/index.tsx index 75ba8362ae..b876adfa3d 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/index.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/index.tsx @@ -99,7 +99,15 @@ const DebugWithMultipleModel = () => { }, [twoLine, threeLine, fourLine]) const setShowAppConfigureFeaturesModal = useAppStore(s => s.setShowAppConfigureFeaturesModal) - const inputsForm = modelConfig.configs.prompt_variables.filter(item => item.type !== 'api').map(item => ({ ...item, label: item.name, variable: item.key })) as InputForm[] + const inputsForm = modelConfig.configs.prompt_variables + .filter(item => item.type !== 'api') + .map(item => ({ + ...item, + label: item.name, + variable: item.key, + hide: item.hide ?? false, + required: item.required ?? false, + })) as InputForm[] return (
@@ -133,6 +141,7 @@ const DebugWithMultipleModel = () => { {isChatMode && (
{ }} > - <> +
{/* Header */} @@ -1060,7 +1061,7 @@ const Configuration: FC = () => { /> )} - + ) diff --git a/web/app/components/app/create-app-modal/index.tsx b/web/app/components/app/create-app-modal/index.tsx index 6e05bb0209..6e5547d08a 100644 --- a/web/app/components/app/create-app-modal/index.tsx +++ b/web/app/components/app/create-app-modal/index.tsx @@ -1,11 +1,11 @@ 'use client' -import { useCallback, useEffect, useRef, useState } from 'react' +import { useCallback, useRef, useState } from 'react' import { useTranslation } from 'react-i18next' -import { useRouter, useSearchParams } from 'next/navigation' +import { useRouter } from 'next/navigation' import { useContext, useContextSelector } from 'use-context-selector' -import { RiArrowRightLine, RiCommandLine, RiCornerDownLeftLine, RiExchange2Fill } from '@remixicon/react' +import { RiArrowRightLine, RiArrowRightSLine, RiCommandLine, RiCornerDownLeftLine, RiExchange2Fill } from '@remixicon/react' import Link from 'next/link' import { useDebounceFn, useKeyPress } from 'ahooks' import Image from 'next/image' @@ -19,7 +19,6 @@ import AppsContext, { useAppContext } from '@/context/app-context' import { useProviderContext } from '@/context/provider-context' import { ToastContext } from '@/app/components/base/toast' import type { AppMode } from '@/types/app' -import { AppModes } from '@/types/app' import { createApp } from '@/service/apps' import Input from '@/app/components/base/input' import Textarea from '@/app/components/base/textarea' @@ -43,11 +42,12 @@ function CreateApp({ onClose, onSuccess, onCreateFromTemplate }: CreateAppProps) const { notify } = useContext(ToastContext) const mutateApps = useContextSelector(AppsContext, state => state.mutateApps) - const [appMode, setAppMode] = useState('chat') + const [appMode, setAppMode] = useState('advanced-chat') const [appIcon, setAppIcon] = useState({ type: 'emoji', icon: '🤖', background: '#FFEAD5' }) const [showAppIconPicker, setShowAppIconPicker] = useState(false) const [name, setName] = useState('') const [description, setDescription] = useState('') + const [isAppTypeExpanded, setIsAppTypeExpanded] = useState(false) const { plan, enableBilling } = useProviderContext() const isAppsFull = (enableBilling && plan.usage.buildApps >= plan.total.buildApps) @@ -55,14 +55,6 @@ function CreateApp({ onClose, onSuccess, onCreateFromTemplate }: CreateAppProps) const isCreatingRef = useRef(false) - const searchParams = useSearchParams() - - useEffect(() => { - const category = searchParams.get('category') - if (category && AppModes.includes(category as AppMode)) - setAppMode(category as AppMode) - }, [searchParams]) - const onCreate = useCallback(async () => { if (!appMode) { notify({ type: 'error', message: t('app.newApp.appTypeRequired') }) @@ -116,47 +108,17 @@ function CreateApp({ onClose, onSuccess, onCreateFromTemplate }: CreateAppProps)
-
- {t('app.newApp.forBeginners')} -
- -
} - onClick={() => { - setAppMode('chat') - }} /> - - -
} - onClick={() => { - setAppMode('agent-chat') - }} /> - - + active={appMode === 'workflow'} + title={t('app.types.workflow')} + description={t('app.newApp.workflowShortDescription')} + icon={
+
} onClick={() => { - setAppMode('completion') + setAppMode('workflow') }} /> -
-
-
-
- {t('app.newApp.forAdvanced')} -
-
{ setAppMode('advanced-chat') }} /> - - -
} - onClick={() => { - setAppMode('workflow') - }} />
+
+
+ +
+ {isAppTypeExpanded && ( +
+ + +
} + onClick={() => { + setAppMode('chat') + }} /> + + +
} + onClick={() => { + setAppMode('agent-chat') + }} /> + + +
} + onClick={() => { + setAppMode('completion') + }} /> +
+ )} +
diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index 7ce164c01b..3062e3a911 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -32,7 +32,6 @@ import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import TextGeneration from '@/app/components/app/text-generate/item' import { addFileInfos, sortAgentSorts } from '@/app/components/tools/utils' import MessageLogModal from '@/app/components/base/message-log-modal' -import PromptLogModal from '@/app/components/base/prompt-log-modal' import { useStore as useAppStore } from '@/app/components/app/store' import { useAppContext } from '@/context/app-context' import useTimestamp from '@/hooks/use-timestamp' @@ -191,13 +190,11 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { const { userProfile: { timezone } } = useAppContext() const { formatTime } = useTimestamp() const { onClose, appDetail } = useContext(DrawerContext) - const { currentLogItem, setCurrentLogItem, showMessageLogModal, setShowMessageLogModal, showPromptLogModal, setShowPromptLogModal, currentLogModalActiveTab } = useAppStore(useShallow(state => ({ + const { currentLogItem, setCurrentLogItem, showMessageLogModal, setShowMessageLogModal, currentLogModalActiveTab } = useAppStore(useShallow(state => ({ currentLogItem: state.currentLogItem, setCurrentLogItem: state.setCurrentLogItem, showMessageLogModal: state.showMessageLogModal, setShowMessageLogModal: state.setShowMessageLogModal, - showPromptLogModal: state.showPromptLogModal, - setShowPromptLogModal: state.setShowPromptLogModal, currentLogModalActiveTab: state.currentLogModalActiveTab, }))) const { t } = useTranslation() @@ -518,16 +515,6 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { defaultTab={currentLogModalActiveTab} /> )} - {showPromptLogModal && ( - { - setCurrentLogItem() - setShowPromptLogModal(false) - }} - /> - )}
) } diff --git a/web/app/components/app/overview/appCard.tsx b/web/app/components/app/overview/appCard.tsx index 512bb179d9..9f3b3ac4a6 100644 --- a/web/app/components/app/overview/appCard.tsx +++ b/web/app/components/app/overview/appCard.tsx @@ -5,10 +5,13 @@ import { useTranslation } from 'react-i18next' import { RiArrowRightSLine, RiBookOpenLine, + RiBuildingLine, RiEqualizer2Line, RiExternalLinkLine, + RiGlobalLine, RiLockLine, RiPaintBrushLine, + RiVerifiedBadgeLine, RiWindowLine, } from '@remixicon/react' import SettingsModal from './settings' @@ -18,7 +21,7 @@ import style from './style.module.css' import type { ConfigParams } from './settings' import Tooltip from '@/app/components/base/tooltip' import AppBasic from '@/app/components/app-sidebar/basic' -import { asyncRunSafe, randomString } from '@/utils' +import { asyncRunSafe } from '@/utils' import { basePath } from '@/utils/var' import { useStore as useAppStore } from '@/app/components/app/store' import Button from '@/app/components/base/button' @@ -184,7 +187,7 @@ function AppCard({ : t('appOverview.overview.apiInfo.explanation') } /> -
+
{runningStatus @@ -210,7 +213,7 @@ function AppCard({ content={isApp ? appUrl : apiUrl} className={'!size-6'} /> - {isApp && } + {isApp && } {isApp && } {/* button copy link/ button regenerate */} {showConfirmDelete && ( @@ -248,11 +251,30 @@ function AppCard({
- - {appDetail?.access_mode === AccessMode.ORGANIZATION &&

{t('app.accessControlDialog.accessItems.organization')}

} - {appDetail?.access_mode === AccessMode.SPECIFIC_GROUPS_MEMBERS &&

{t('app.accessControlDialog.accessItems.specific')}

} - {appDetail?.access_mode === AccessMode.PUBLIC &&

{t('app.accessControlDialog.accessItems.anyone')}

} -
+ {appDetail?.access_mode === AccessMode.ORGANIZATION + && <> + +

{t('app.accessControlDialog.accessItems.organization')}

+ + } + {appDetail?.access_mode === AccessMode.SPECIFIC_GROUPS_MEMBERS + && <> + +

{t('app.accessControlDialog.accessItems.specific')}

+ + } + {appDetail?.access_mode === AccessMode.PUBLIC + && <> + +

{t('app.accessControlDialog.accessItems.anyone')}

+ + } + {appDetail?.access_mode === AccessMode.EXTERNAL_MEMBERS + && <> + +

{t('app.accessControlDialog.accessItems.external')}

+ + }
{!isAppAccessSet &&

{t('app.publishApp.notSet')}

}
diff --git a/web/app/components/app/type-selector/index.tsx b/web/app/components/app/type-selector/index.tsx index 0accafdf4b..a57bac20db 100644 --- a/web/app/components/app/type-selector/index.tsx +++ b/web/app/components/app/type-selector/index.tsx @@ -15,7 +15,7 @@ export type AppSelectorProps = { onChange: (value: AppSelectorProps['value']) => void } -const allTypes: AppMode[] = ['chat', 'agent-chat', 'completion', 'advanced-chat', 'workflow'] +const allTypes: AppMode[] = ['workflow', 'advanced-chat', 'chat', 'agent-chat', 'completion'] const AppTypeSelector = ({ value, onChange }: AppSelectorProps) => { const [open, setOpen] = useState(false) diff --git a/web/app/components/base/app-icon-picker/ImageInput.tsx b/web/app/components/base/app-icon-picker/ImageInput.tsx index 9c0a95c021..d42abf867f 100644 --- a/web/app/components/base/app-icon-picker/ImageInput.tsx +++ b/web/app/components/base/app-icon-picker/ImageInput.tsx @@ -94,7 +94,7 @@ const ImageInput: FC = ({
= ({ className={cn(s.container, '!w-[362px] !p-0')} > {!DISABLE_UPLOAD_IMAGE_AS_ICON &&
-
+
{tabs.map(tab => (
@@ -168,6 +171,7 @@ const EmbeddedChatbotWrapper = () => { setIsResponding, currentConversationInputs, setCurrentConversationInputs, + allInputsHidden, } = useEmbeddedChatbot() return { setIsResponding, currentConversationInputs, setCurrentConversationInputs, + allInputsHidden, }}> diff --git a/web/app/components/base/chat/embedded-chatbot/inputs-form/content.tsx b/web/app/components/base/chat/embedded-chatbot/inputs-form/content.tsx index e56520d23f..c5f39718f1 100644 --- a/web/app/components/base/chat/embedded-chatbot/inputs-form/content.tsx +++ b/web/app/components/base/chat/embedded-chatbot/inputs-form/content.tsx @@ -36,9 +36,11 @@ const InputsFormContent = ({ showTip }: Props) => { }) }, [newConversationInputsRef, handleNewConversationInputsChange, currentConversationInputs, setCurrentConversationInputs]) + const visibleInputsForms = inputsForms.filter(form => form.hide !== true) + return (
- {inputsForms.map(form => ( + {visibleInputsForms.map(form => (
{form.label}
diff --git a/web/app/components/base/chat/embedded-chatbot/inputs-form/index.tsx b/web/app/components/base/chat/embedded-chatbot/inputs-form/index.tsx index 4ac4aaa16b..88472b5d8f 100644 --- a/web/app/components/base/chat/embedded-chatbot/inputs-form/index.tsx +++ b/web/app/components/base/chat/embedded-chatbot/inputs-form/index.tsx @@ -22,8 +22,13 @@ const InputsFormNode = ({ currentConversationId, themeBuilder, handleStartChat, + allInputsHidden, + inputsForms, } = useEmbeddedChatbotContext() + if (allInputsHidden || inputsForms.length === 0) + return null + return (
> { + const urlParams = new URLSearchParams(window.location.search) + const inputs: Record = {} + const entriesArray = Array.from(urlParams.entries()) + entriesArray.forEach(([key, value]) => { + if (!key.startsWith('sys.')) + inputs[key] = decodeURIComponent(value) + }) + return inputs +} + async function getProcessedInputsFromUrlParams(): Promise> { const urlParams = new URLSearchParams(window.location.search) const inputs: Record = {} @@ -184,6 +195,7 @@ function getThreadMessages(tree: ChatItemInTree[], targetMessageId?: string): Ch } export { + getRawInputsFromUrlParams, getProcessedInputsFromUrlParams, getProcessedSystemVariablesFromUrlParams, isValidGeneratedAnswer, diff --git a/web/app/components/base/file-uploader/hooks.ts b/web/app/components/base/file-uploader/hooks.ts index 66d5b46ba7..8e1b2148c5 100644 --- a/web/app/components/base/file-uploader/hooks.ts +++ b/web/app/components/base/file-uploader/hooks.ts @@ -231,7 +231,7 @@ export const useFile = (fileConfig: FileUpload) => { url: res.url, } if (!isAllowedFileExtension(res.name, res.mime_type, fileConfig.allowed_file_types || [], fileConfig.allowed_file_extensions || [])) { - notify({ type: 'error', message: t('common.fileUploader.fileExtensionNotSupport') }) + notify({ type: 'error', message: `${t('common.fileUploader.fileExtensionNotSupport')} ${file.type}` }) handleRemoveFile(uploadingFile.id) } if (!checkSizeLimit(newFile.supportFileType, newFile.size)) @@ -257,7 +257,7 @@ export const useFile = (fileConfig: FileUpload) => { const handleLocalFileUpload = useCallback((file: File) => { if (!isAllowedFileExtension(file.name, file.type, fileConfig.allowed_file_types || [], fileConfig.allowed_file_extensions || [])) { - notify({ type: 'error', message: t('common.fileUploader.fileExtensionNotSupport') }) + notify({ type: 'error', message: `${t('common.fileUploader.fileExtensionNotSupport')} ${file.type}` }) return } const allowedFileTypes = fileConfig.allowed_file_types diff --git a/web/app/components/base/file-uploader/utils.spec.ts b/web/app/components/base/file-uploader/utils.spec.ts index c8cf9fbe74..4a3408ef00 100644 --- a/web/app/components/base/file-uploader/utils.spec.ts +++ b/web/app/components/base/file-uploader/utils.spec.ts @@ -22,7 +22,7 @@ import { FILE_EXTS } from '../prompt-editor/constants' jest.mock('mime', () => ({ __esModule: true, default: { - getExtension: jest.fn(), + getAllExtensions: jest.fn(), }, })) @@ -58,12 +58,27 @@ describe('file-uploader utils', () => { describe('getFileExtension', () => { it('should get extension from mimetype', () => { - jest.mocked(mime.getExtension).mockReturnValue('pdf') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['pdf'])) expect(getFileExtension('file', 'application/pdf')).toBe('pdf') }) + it('should get extension from mimetype and file name 1', () => { + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['pdf'])) + expect(getFileExtension('file.pdf', 'application/pdf')).toBe('pdf') + }) + + it('should get extension from mimetype with multiple ext candidates with filename hint', () => { + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['der', 'crt', 'pem'])) + expect(getFileExtension('file.pem', 'application/x-x509-ca-cert')).toBe('pem') + }) + + it('should get extension from mimetype with multiple ext candidates without filename hint', () => { + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['der', 'crt', 'pem'])) + expect(getFileExtension('file', 'application/x-x509-ca-cert')).toBe('der') + }) + it('should get extension from filename if mimetype fails', () => { - jest.mocked(mime.getExtension).mockReturnValue(null) + jest.mocked(mime.getAllExtensions).mockReturnValue(null) expect(getFileExtension('file.txt', '')).toBe('txt') expect(getFileExtension('file.txt.docx', '')).toBe('docx') expect(getFileExtension('file', '')).toBe('') @@ -76,157 +91,157 @@ describe('file-uploader utils', () => { describe('getFileAppearanceType', () => { it('should identify gif files', () => { - jest.mocked(mime.getExtension).mockReturnValue('gif') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['gif'])) expect(getFileAppearanceType('image.gif', 'image/gif')) .toBe(FileAppearanceTypeEnum.gif) }) it('should identify image files', () => { - jest.mocked(mime.getExtension).mockReturnValue('jpg') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['jpg'])) expect(getFileAppearanceType('image.jpg', 'image/jpeg')) .toBe(FileAppearanceTypeEnum.image) - jest.mocked(mime.getExtension).mockReturnValue('jpeg') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['jpeg'])) expect(getFileAppearanceType('image.jpeg', 'image/jpeg')) .toBe(FileAppearanceTypeEnum.image) - jest.mocked(mime.getExtension).mockReturnValue('png') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['png'])) expect(getFileAppearanceType('image.png', 'image/png')) .toBe(FileAppearanceTypeEnum.image) - jest.mocked(mime.getExtension).mockReturnValue('webp') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['webp'])) expect(getFileAppearanceType('image.webp', 'image/webp')) .toBe(FileAppearanceTypeEnum.image) - jest.mocked(mime.getExtension).mockReturnValue('svg') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['svg'])) expect(getFileAppearanceType('image.svg', 'image/svgxml')) .toBe(FileAppearanceTypeEnum.image) }) it('should identify video files', () => { - jest.mocked(mime.getExtension).mockReturnValue('mp4') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mp4'])) expect(getFileAppearanceType('video.mp4', 'video/mp4')) .toBe(FileAppearanceTypeEnum.video) - jest.mocked(mime.getExtension).mockReturnValue('mov') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mov'])) expect(getFileAppearanceType('video.mov', 'video/quicktime')) .toBe(FileAppearanceTypeEnum.video) - jest.mocked(mime.getExtension).mockReturnValue('mpeg') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mpeg'])) expect(getFileAppearanceType('video.mpeg', 'video/mpeg')) .toBe(FileAppearanceTypeEnum.video) - jest.mocked(mime.getExtension).mockReturnValue('webm') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['webm'])) expect(getFileAppearanceType('video.web', 'video/webm')) .toBe(FileAppearanceTypeEnum.video) }) it('should identify audio files', () => { - jest.mocked(mime.getExtension).mockReturnValue('mp3') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mp3'])) expect(getFileAppearanceType('audio.mp3', 'audio/mpeg')) .toBe(FileAppearanceTypeEnum.audio) - jest.mocked(mime.getExtension).mockReturnValue('m4a') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['m4a'])) expect(getFileAppearanceType('audio.m4a', 'audio/mp4')) .toBe(FileAppearanceTypeEnum.audio) - jest.mocked(mime.getExtension).mockReturnValue('wav') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['wav'])) expect(getFileAppearanceType('audio.wav', 'audio/vnd.wav')) .toBe(FileAppearanceTypeEnum.audio) - jest.mocked(mime.getExtension).mockReturnValue('amr') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['amr'])) expect(getFileAppearanceType('audio.amr', 'audio/AMR')) .toBe(FileAppearanceTypeEnum.audio) - jest.mocked(mime.getExtension).mockReturnValue('mpga') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mpga'])) expect(getFileAppearanceType('audio.mpga', 'audio/mpeg')) .toBe(FileAppearanceTypeEnum.audio) }) it('should identify code files', () => { - jest.mocked(mime.getExtension).mockReturnValue('html') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['html'])) expect(getFileAppearanceType('index.html', 'text/html')) .toBe(FileAppearanceTypeEnum.code) }) it('should identify PDF files', () => { - jest.mocked(mime.getExtension).mockReturnValue('pdf') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['pdf'])) expect(getFileAppearanceType('doc.pdf', 'application/pdf')) .toBe(FileAppearanceTypeEnum.pdf) }) it('should identify markdown files', () => { - jest.mocked(mime.getExtension).mockReturnValue('md') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['md'])) expect(getFileAppearanceType('file.md', 'text/markdown')) .toBe(FileAppearanceTypeEnum.markdown) - jest.mocked(mime.getExtension).mockReturnValue('markdown') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['markdown'])) expect(getFileAppearanceType('file.markdown', 'text/markdown')) .toBe(FileAppearanceTypeEnum.markdown) - jest.mocked(mime.getExtension).mockReturnValue('mdx') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['mdx'])) expect(getFileAppearanceType('file.mdx', 'text/mdx')) .toBe(FileAppearanceTypeEnum.markdown) }) it('should identify excel files', () => { - jest.mocked(mime.getExtension).mockReturnValue('xlsx') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['xlsx'])) expect(getFileAppearanceType('doc.xlsx', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')) .toBe(FileAppearanceTypeEnum.excel) - jest.mocked(mime.getExtension).mockReturnValue('xls') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['xls'])) expect(getFileAppearanceType('doc.xls', 'application/vnd.ms-excel')) .toBe(FileAppearanceTypeEnum.excel) }) it('should identify word files', () => { - jest.mocked(mime.getExtension).mockReturnValue('doc') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['doc'])) expect(getFileAppearanceType('doc.doc', 'application/msword')) .toBe(FileAppearanceTypeEnum.word) - jest.mocked(mime.getExtension).mockReturnValue('docx') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['docx'])) expect(getFileAppearanceType('doc.docx', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document')) .toBe(FileAppearanceTypeEnum.word) }) it('should identify word files', () => { - jest.mocked(mime.getExtension).mockReturnValue('ppt') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['ppt'])) expect(getFileAppearanceType('doc.ppt', 'application/vnd.ms-powerpoint')) .toBe(FileAppearanceTypeEnum.ppt) - jest.mocked(mime.getExtension).mockReturnValue('pptx') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['pptx'])) expect(getFileAppearanceType('doc.pptx', 'application/vnd.openxmlformats-officedocument.presentationml.presentation')) .toBe(FileAppearanceTypeEnum.ppt) }) it('should identify document files', () => { - jest.mocked(mime.getExtension).mockReturnValue('txt') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['txt'])) expect(getFileAppearanceType('file.txt', 'text/plain')) .toBe(FileAppearanceTypeEnum.document) - jest.mocked(mime.getExtension).mockReturnValue('csv') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['csv'])) expect(getFileAppearanceType('file.csv', 'text/csv')) .toBe(FileAppearanceTypeEnum.document) - jest.mocked(mime.getExtension).mockReturnValue('msg') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['msg'])) expect(getFileAppearanceType('file.msg', 'application/vnd.ms-outlook')) .toBe(FileAppearanceTypeEnum.document) - jest.mocked(mime.getExtension).mockReturnValue('eml') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['eml'])) expect(getFileAppearanceType('file.eml', 'message/rfc822')) .toBe(FileAppearanceTypeEnum.document) - jest.mocked(mime.getExtension).mockReturnValue('xml') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['xml'])) expect(getFileAppearanceType('file.xml', 'application/rssxml')) .toBe(FileAppearanceTypeEnum.document) - jest.mocked(mime.getExtension).mockReturnValue('epub') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['epub'])) expect(getFileAppearanceType('file.epub', 'application/epubzip')) .toBe(FileAppearanceTypeEnum.document) }) it('should handle null mime extension', () => { - jest.mocked(mime.getExtension).mockReturnValue(null) + jest.mocked(mime.getAllExtensions).mockReturnValue(null) expect(getFileAppearanceType('file.txt', 'text/plain')) .toBe(FileAppearanceTypeEnum.document) }) @@ -360,7 +375,7 @@ describe('file-uploader utils', () => { describe('isAllowedFileExtension', () => { it('should validate allowed file extensions', () => { - jest.mocked(mime.getExtension).mockReturnValue('pdf') + jest.mocked(mime.getAllExtensions).mockReturnValue(new Set(['pdf'])) expect(isAllowedFileExtension( 'test.pdf', 'application/pdf', diff --git a/web/app/components/base/file-uploader/utils.ts b/web/app/components/base/file-uploader/utils.ts index e05c0b2087..9b5a449481 100644 --- a/web/app/components/base/file-uploader/utils.ts +++ b/web/app/components/base/file-uploader/utils.ts @@ -42,19 +42,38 @@ export const fileUpload: FileUpload = ({ }) } +const additionalExtensionMap = new Map([ + ['text/x-markdown', ['md']], +]) + export const getFileExtension = (fileName: string, fileMimetype: string, isRemote?: boolean) => { let extension = '' - if (fileMimetype) - extension = mime.getExtension(fileMimetype) || '' + let extensions = new Set() + if (fileMimetype) { + const extensionsFromMimeType = mime.getAllExtensions(fileMimetype) || new Set() + const additionalExtensions = additionalExtensionMap.get(fileMimetype) || [] + extensions = new Set([ + ...extensionsFromMimeType, + ...additionalExtensions, + ]) + } - if (fileName && !extension) { + let extensionInFileName = '' + if (fileName) { const fileNamePair = fileName.split('.') const fileNamePairLength = fileNamePair.length - if (fileNamePairLength > 1) - extension = fileNamePair[fileNamePairLength - 1] + if (fileNamePairLength > 1) { + extensionInFileName = fileNamePair[fileNamePairLength - 1].toLowerCase() + if (extensions.has(extensionInFileName)) + extension = extensionInFileName + } + } + if (!extension) { + if (extensions.size > 0) + extension = extensions.values().next().value.toLowerCase() else - extension = '' + extension = extensionInFileName } if (isRemote) diff --git a/web/app/components/base/icons/src/public/llm/OpenaiTeal.json b/web/app/components/base/icons/src/public/llm/OpenaiTeal.json new file mode 100644 index 0000000000..1e85c161be --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/OpenaiTeal.json @@ -0,0 +1,37 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "24", + "height": "24", + "viewBox": "0 0 24 24", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "rect", + "attributes": { + "width": "24", + "height": "24", + "rx": "6", + "fill": "#009688" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M19.7758 11.5959C19.9546 11.9948 20.0681 12.4213 20.1145 12.8563C20.1592 13.2913 20.1369 13.7315 20.044 14.1596C19.9529 14.5878 19.7947 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9.47627 7.82173C9.4883 7.77702 9.5055 7.73232 9.52957 7.69105C9.55364 7.6515 9.58115 7.61368 9.61554 7.57929C9.64821 7.54662 9.68604 7.51739 9.72731 7.49503L13.0132 5.59848C13.0441 5.57957 13.0871 5.55549 13.1112 5.54346C12.6607 5.1669 12.1105 4.92618 11.5276 4.85224C10.9447 4.77658 10.3532 4.86943 9.82188 5.11875C9.28885 5.36807 8.83835 5.76527 8.52369 6.26047C8.20903 6.75739 8.04224 7.33169 8.04224 7.91974V11.7541C8.04339 11.7587 8.04454 11.7627 8.04568 11.7661C8.04683 11.7696 8.04855 11.773 8.05084 11.7765C8.05313 11.7799 8.056 11.7833 8.05944 11.7868C8.06173 11.7891 8.06517 11.7914 8.06976 11.7937L9.45735 12.5949V7.96101ZM10.2105 13.0282L11.997 14.0599L13.7835 13.0282V10.9666L11.9987 9.93493L10.2122 10.9666L10.2105 13.0282Z", + "fill": "white" + }, + "children": [] + } + ] + }, + "name": "OpenaiTeal" +} diff --git a/web/app/components/base/icons/src/public/llm/OpenaiTeal.tsx b/web/app/components/base/icons/src/public/llm/OpenaiTeal.tsx new file mode 100644 index 0000000000..ab50b42a1e --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/OpenaiTeal.tsx @@ -0,0 +1,20 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './OpenaiTeal.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconData } from '@/app/components/base/icons/IconBase' + +const Icon = ( + { + ref, + ...props + }: React.SVGProps & { + ref?: React.RefObject>; + }, +) => + +Icon.displayName = 'OpenaiTeal' + +export default Icon diff --git a/web/app/components/base/icons/src/public/llm/OpenaiYellow.json b/web/app/components/base/icons/src/public/llm/OpenaiYellow.json new file mode 100644 index 0000000000..d0a4f10744 --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/OpenaiYellow.json @@ -0,0 +1,37 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "24", + "height": "24", + "viewBox": "0 0 24 24", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "rect", + "attributes": { + "width": "24", + "height": "24", + "rx": "6", + "fill": "#FAB005" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M19.7758 11.5959C19.9546 11.9948 20.0681 12.4213 20.1145 12.8563C20.1592 13.2913 20.1369 13.7315 20.044 14.1596C19.9529 14.5878 19.7947 14.9987 19.5746 15.377C19.4302 15.6298 19.2599 15.867 19.0639 16.0854C18.8696 16.3021 18.653 16.4981 18.4174 16.67C18.1801 16.842 17.9274 16.9864 17.6591 17.105C17.3926 17.222 17.1141 17.3114 16.8286 17.3698C16.6945 17.7859 16.4951 18.1797 16.2371 18.5339C15.9809 18.8881 15.6697 19.1993 15.3155 19.4555C14.9613 19.7134 14.5693 19.9129 14.1532 20.047C13.7371 20.1829 13.302 20.2499 12.8636 20.2499C12.573 20.2516 12.2807 20.2207 11.9953 20.1622C11.7116 20.102 11.433 20.0109 11.1665 19.8923C10.9 19.7736 10.6472 19.6258 10.4116 19.4538C10.1778 19.2819 9.96115 19.0841 9.76857 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16.1765C14.5091 16.223 14.4919 16.2659 14.4678 16.3072C14.4438 16.3485 14.4162 16.3863 14.3819 16.419C14.3484 16.4523 14.3109 16.4812 14.2701 16.505L10.9842 18.4015C10.9567 18.4187 10.9103 18.4428 10.8862 18.4565C11.0221 18.5717 11.1699 18.6732 11.3247 18.7626C11.4811 18.852 11.6428 18.9277 11.8113 18.9896C11.9798 19.0497 12.1535 19.0962 12.3288 19.1271C12.5059 19.1581 12.6848 19.1735 12.8636 19.1735C13.2694 19.1735 13.6717 19.0927 14.0466 18.9363ZM6.22135 16.333C6.42596 16.6855 6.69592 16.9916 7.01745 17.2392C7.34071 17.4868 7.70695 17.6673 8.09899 17.7722C8.49102 17.8771 8.90025 17.9046 9.3026 17.8513C9.70495 17.798 10.0918 17.6673 10.4443 17.4644L13.7663 15.5472L13.7749 15.5386C13.7772 15.5363 13.7789 15.5329 13.78 15.5283C13.7823 15.5249 13.7841 15.5214 13.7852 15.518V13.9017L9.77545 16.2212C9.73418 16.2453 9.6912 16.2625 9.64649 16.2763C9.60007 16.2883 9.55364 16.2935 9.5055 16.2935C9.45907 16.2935 9.41265 16.2883 9.36622 16.2763C9.32152 16.2625 9.27681 16.2453 9.23554 16.2212L5.94967 14.323C5.92044 14.3058 5.87746 14.28 5.85339 14.2645C5.82244 14.4416 5.80696 14.6204 5.80696 14.7993C5.80696 14.9781 5.82415 15.1569 5.85511 15.334C5.88605 15.5094 5.9342 15.6831 5.99438 15.8516C6.05628 16.0201 6.13194 16.1817 6.22135 16.3364V16.333ZM5.35818 9.1629C5.15529 9.51539 5.02461 9.90398 4.97131 10.3063C4.918 10.7087 4.94552 11.1162 5.0504 11.51C5.15529 11.902 5.33583 12.2682 5.58343 12.5915C5.83103 12.913 6.13881 13.183 6.48958 13.3859L9.80984 15.3048C9.81328 15.3059 9.81729 15.3071 9.82188 15.3082H9.83391C9.8385 15.3082 9.84251 15.3071 9.84595 15.3048C9.84939 15.3036 9.85283 15.3019 9.85627 15.2996L11.249 14.4949L7.23926 12.1805C7.19971 12.1565 7.16189 12.1272 7.1275 12.0946C7.09418 12.0611 7.06529 12.0236 7.04153 11.9828C7.01917 11.9415 7.00026 11.8985 6.98822 11.8521C6.97619 11.8074 6.96931 11.761 6.97103 11.7128V7.80797C6.80252 7.86987 6.63917 7.94553 6.48442 8.03494C6.32967 8.12607 6.18352 8.22924 6.04596 8.34444C5.91013 8.45965 5.78289 8.58688 5.66769 8.72444C5.55248 8.86028 5.45103 9.00815 5.36162 9.1629H5.35818ZM16.7633 11.8177C16.8046 11.8418 16.8424 11.8693 16.8768 11.9037C16.9094 11.9364 16.9387 11.9742 16.9628 12.0155C16.9851 12.0567 17.004 12.1014 17.0161 12.1461C17.0264 12.1926 17.0332 12.239 17.0315 12.2871V16.192C17.5835 15.9891 18.0649 15.6332 18.4208 15.1655C18.7785 14.6978 18.9934 14.139 19.0433 13.5544C19.0931 12.9698 18.9762 12.3817 18.7046 11.8607C18.4329 11.3397 18.0185 10.9064 17.5095 10.6141L14.1893 8.69521C14.1858 8.69406 14.1818 8.69292 14.1772 8.69177H14.1652C14.1618 8.69292 14.1578 8.69406 14.1532 8.69521C14.1497 8.69636 14.1463 8.69808 14.1429 8.70037L12.757 9.50163L16.7667 11.8177H16.7633ZM18.1475 9.7372H18.1457V9.73892L18.1475 9.7372ZM18.1457 9.73548C18.2455 9.15774 18.1784 8.56281 17.9514 8.02119C17.7262 7.47956 17.3496 7.01359 16.8682 6.67658C16.3867 6.34128 15.8193 6.1487 15.233 6.12291C14.6449 6.09884 14.0638 6.24155 13.5548 6.53386L10.2345 8.45105C10.2311 8.45334 10.2282 8.45621 10.2259 8.45965L10.2191 8.46996C10.2179 8.4734 10.2168 8.47741 10.2156 8.482C10.2145 8.48544 10.2139 8.48945 10.2139 8.49403V10.0966L14.2237 7.78046C14.2649 7.75639 14.3096 7.7392 14.3543 7.72544C14.4008 7.7134 14.4472 7.70825 14.4936 7.70825C14.5418 7.70825 14.5882 7.7134 14.6346 7.72544C14.6793 7.7392 14.7223 7.75639 14.7636 7.78046L18.0494 9.67874C18.0787 9.69593 18.1217 9.72 18.1457 9.73548ZM9.45735 7.96101C9.45735 7.91458 9.46423 7.86816 9.47627 7.82173C9.4883 7.77702 9.5055 7.73232 9.52957 7.69105C9.55364 7.6515 9.58115 7.61368 9.61554 7.57929C9.64821 7.54662 9.68604 7.51739 9.72731 7.49503L13.0132 5.59848C13.0441 5.57957 13.0871 5.55549 13.1112 5.54346C12.6607 5.1669 12.1105 4.92618 11.5276 4.85224C10.9447 4.77658 10.3532 4.86943 9.82188 5.11875C9.28885 5.36807 8.83835 5.76527 8.52369 6.26047C8.20903 6.75739 8.04224 7.33169 8.04224 7.91974V11.7541C8.04339 11.7587 8.04454 11.7627 8.04568 11.7661C8.04683 11.7696 8.04855 11.773 8.05084 11.7765C8.05313 11.7799 8.056 11.7833 8.05944 11.7868C8.06173 11.7891 8.06517 11.7914 8.06976 11.7937L9.45735 12.5949V7.96101ZM10.2105 13.0282L11.997 14.0599L13.7835 13.0282V10.9666L11.9987 9.93493L10.2122 10.9666L10.2105 13.0282Z", + "fill": "white" + }, + "children": [] + } + ] + }, + "name": "OpenaiYellow" +} diff --git a/web/app/components/base/icons/src/public/llm/OpenaiYellow.tsx b/web/app/components/base/icons/src/public/llm/OpenaiYellow.tsx new file mode 100644 index 0000000000..77dac7e322 --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/OpenaiYellow.tsx @@ -0,0 +1,20 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './OpenaiYellow.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconData } from '@/app/components/base/icons/IconBase' + +const Icon = ( + { + ref, + ...props + }: React.SVGProps & { + ref?: React.RefObject>; + }, +) => + +Icon.displayName = 'OpenaiYellow' + +export default Icon diff --git a/web/app/components/base/icons/src/public/llm/index.ts b/web/app/components/base/icons/src/public/llm/index.ts index cc9b531ebf..fa4a1bdd10 100644 --- a/web/app/components/base/icons/src/public/llm/index.ts +++ b/web/app/components/base/icons/src/public/llm/index.ts @@ -28,9 +28,11 @@ export { default as Microsoft } from './Microsoft' export { default as OpenaiBlack } from './OpenaiBlack' export { default as OpenaiBlue } from './OpenaiBlue' export { default as OpenaiGreen } from './OpenaiGreen' +export { default as OpenaiTeal } from './OpenaiTeal' export { default as OpenaiText } from './OpenaiText' export { default as OpenaiTransparent } from './OpenaiTransparent' export { default as OpenaiViolet } from './OpenaiViolet' +export { default as OpenaiYellow } from './OpenaiYellow' export { default as OpenllmText } from './OpenllmText' export { default as Openllm } from './Openllm' export { default as ReplicateText } from './ReplicateText' diff --git a/web/app/components/base/logo/dify-logo.tsx b/web/app/components/base/logo/dify-logo.tsx index c3dca3e71d..5369144e1c 100644 --- a/web/app/components/base/logo/dify-logo.tsx +++ b/web/app/components/base/logo/dify-logo.tsx @@ -3,7 +3,6 @@ import type { FC } from 'react' import classNames from '@/utils/classnames' import useTheme from '@/hooks/use-theme' import { basePath } from '@/utils/var' -import { useGlobalPublicStore } from '@/context/global-public-context' export type LogoStyle = 'default' | 'monochromeWhite' export const logoPathMap: Record = { @@ -32,15 +31,10 @@ const DifyLogo: FC = ({ }) => { const { theme } = useTheme() const themedStyle = (theme === 'dark' && style === 'default') ? 'monochromeWhite' : style - const { systemFeatures } = useGlobalPublicStore() - - let src = `${basePath}${logoPathMap[themedStyle]}` - if (systemFeatures.branding.enabled) - src = systemFeatures.branding.workspace_logo return ( Dify logo diff --git a/web/app/components/base/markdown-blocks/audio-block.tsx b/web/app/components/base/markdown-blocks/audio-block.tsx new file mode 100644 index 0000000000..09001f105b --- /dev/null +++ b/web/app/components/base/markdown-blocks/audio-block.tsx @@ -0,0 +1,21 @@ +/** + * @fileoverview AudioBlock component for rendering audio elements in Markdown. + * Extracted from the main markdown renderer for modularity. + * Uses the AudioGallery component to display audio players. + */ +import React, { memo } from 'react' +import AudioGallery from '@/app/components/base/audio-gallery' + +const AudioBlock: any = memo(({ node }: any) => { + const srcs = node.children.filter((child: any) => 'properties' in child).map((child: any) => (child as any).properties.src) + if (srcs.length === 0) { + const src = node.properties?.src + if (src) + return + return null + } + return +}) +AudioBlock.displayName = 'AudioBlock' + +export default AudioBlock diff --git a/web/app/components/base/markdown-blocks/button.tsx b/web/app/components/base/markdown-blocks/button.tsx index 81a3f30660..4646b12921 100644 --- a/web/app/components/base/markdown-blocks/button.tsx +++ b/web/app/components/base/markdown-blocks/button.tsx @@ -1,7 +1,7 @@ import { useChatContext } from '@/app/components/base/chat/chat/context' import Button from '@/app/components/base/button' import cn from '@/utils/classnames' - +import { isValidUrl } from './utils' const MarkdownButton = ({ node }: any) => { const { onSend } = useChatContext() const variant = node.properties.dataVariant @@ -9,25 +9,17 @@ const MarkdownButton = ({ node }: any) => { const link = node.properties.dataLink const size = node.properties.dataSize - function is_valid_url(url: string): boolean { - try { - const parsed_url = new URL(url) - return ['http:', 'https:'].includes(parsed_url.protocol) - } - catch { - return false - } - } - return
)} {hasSetIndexType && indexType === IndexingType.ECONOMICAL && ( -
+
{t('datasetCreation.stepTwo.indexSettingTip')} {t('datasetCreation.stepTwo.datasetSettingLink')}
diff --git a/web/app/components/datasets/documents/detail/batch-modal/csv-downloader.tsx b/web/app/components/datasets/documents/detail/batch-modal/csv-downloader.tsx index 90bdb707df..7f3be965b3 100644 --- a/web/app/components/datasets/documents/detail/batch-modal/csv-downloader.tsx +++ b/web/app/components/datasets/documents/detail/batch-modal/csv-downloader.tsx @@ -50,20 +50,20 @@ const CSVDownload: FC<{ docForm: ChunkingMode }> = ({ docForm }) => { return (
-
{t('share.generation.csvStructureTitle')}
+
{t('share.generation.csvStructureTitle')}
{docForm === ChunkingMode.qa && ( - - +
+ - - + + - + - - + + @@ -73,15 +73,15 @@ const CSVDownload: FC<{ docForm: ChunkingMode }> = ({ docForm }) => {
{t('datasetDocuments.list.batchModal.question')}{t('datasetDocuments.list.batchModal.answer')}{t('datasetDocuments.list.batchModal.question')}{t('datasetDocuments.list.batchModal.answer')}
{t('datasetDocuments.list.batchModal.question')} 1{t('datasetDocuments.list.batchModal.answer')} 1{t('datasetDocuments.list.batchModal.question')} 1{t('datasetDocuments.list.batchModal.answer')} 1
{t('datasetDocuments.list.batchModal.question')} 2
)} {docForm === ChunkingMode.text && ( - - +
+ - + - + - + diff --git a/web/app/components/datasets/documents/detail/batch-modal/csv-uploader.tsx b/web/app/components/datasets/documents/detail/batch-modal/csv-uploader.tsx index 471bf7be2f..c2224296d6 100644 --- a/web/app/components/datasets/documents/detail/batch-modal/csv-uploader.tsx +++ b/web/app/components/datasets/documents/detail/batch-modal/csv-uploader.tsx @@ -93,29 +93,29 @@ const CSVUploader: FC = ({ />
{!file && ( -
+
-
+
{t('datasetDocuments.list.batchModal.csvUploadTitle')} - {t('datasetDocuments.list.batchModal.browse')} + {t('datasetDocuments.list.batchModal.browse')}
{dragging &&
}
)} {file && ( -
+
- {file.name.replace(/.csv$/, '')} - .csv + {file.name.replace(/.csv$/, '')} + .csv
-
+
- +
diff --git a/web/app/components/datasets/documents/detail/batch-modal/index.tsx b/web/app/components/datasets/documents/detail/batch-modal/index.tsx index 775d755106..614471c565 100644 --- a/web/app/components/datasets/documents/detail/batch-modal/index.tsx +++ b/web/app/components/datasets/documents/detail/batch-modal/index.tsx @@ -41,9 +41,9 @@ const BatchModal: FC = ({ return ( -
{t('datasetDocuments.list.batchModal.title')}
+
{t('datasetDocuments.list.batchModal.title')}
- +
= ({ customComponent: isFullDocMode && CustomButton, }) handleCancel('add') + setContent('') if (isFullDocMode) { refreshTimer.current = setTimeout(() => { onSave() diff --git a/web/app/components/datasets/documents/detail/new-segment.tsx b/web/app/components/datasets/documents/detail/new-segment.tsx index 7a08027add..80f0f1dbb9 100644 --- a/web/app/components/datasets/documents/detail/new-segment.tsx +++ b/web/app/components/datasets/documents/detail/new-segment.tsx @@ -118,6 +118,9 @@ const NewSegmentModal: FC = ({ customComponent: CustomButton, }) handleCancel('add') + setQuestion('') + setAnswer('') + setKeywords([]) refreshTimer.current = setTimeout(() => { onSave() }, 3000) diff --git a/web/app/components/datasets/documents/index.tsx b/web/app/components/datasets/documents/index.tsx index 32980eea1e..2aecb587d0 100644 --- a/web/app/components/datasets/documents/index.tsx +++ b/web/app/components/datasets/documents/index.tsx @@ -70,7 +70,7 @@ const EmptyElement: FC<{ canAdd: boolean; onClick: () => void; type?: 'upload' |
{t(`datasetDocuments.list.empty.${type}.tip`)}
- {type === 'upload' && canAdd && }
@@ -267,7 +267,7 @@ const Documents: FC = ({ datasetId }) => { ? 'https://docs.dify.ai/zh-hans/guides/knowledge-base/integrate-knowledge-within-application' : 'https://docs.dify.ai/en/guides/knowledge-base/integrate-knowledge-within-application' } - > + > {t('datasetDocuments.list.learnMore')} diff --git a/web/app/components/datasets/documents/style.module.css b/web/app/components/datasets/documents/style.module.css index ececd3ad90..dd1ced5ad5 100644 --- a/web/app/components/datasets/documents/style.module.css +++ b/web/app/components/datasets/documents/style.module.css @@ -26,7 +26,7 @@ @apply text-text-secondary text-sm; } .addFileBtn { - @apply mt-4 w-fit !text-[13px] text-primary-600 font-medium bg-white border-[0.5px]; + @apply mt-4 w-fit !text-[13px] font-medium border-[0.5px]; } .plusIcon { @apply w-4 h-4 mr-2 stroke-current stroke-[1.5px]; @@ -35,16 +35,16 @@ @apply flex items-center justify-center h-full; } .emptyElement { - @apply bg-gray-50 w-[560px] h-fit box-border px-5 py-4 rounded-2xl; + @apply bg-components-panel-on-panel-item-bg border-divider-subtle w-[560px] h-fit box-border px-5 py-4 rounded-2xl; } .emptyTitle { - @apply text-gray-700 font-semibold; + @apply text-text-secondary font-semibold; } .emptyTip { - @apply mt-2 text-gray-500 text-sm font-normal; + @apply mt-2 text-text-primary text-sm font-normal; } .emptySymbolIconWrapper { - @apply w-[44px] h-[44px] border border-solid border-gray-100 rounded-lg flex items-center justify-center mb-2; + @apply w-[44px] h-[44px] border border-solid border-components-button-secondary-border rounded-lg flex items-center justify-center mb-2; } .commonIcon { @apply w-4 h-4 inline-block align-middle; diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx index c36c16c815..b317bfc887 100644 --- a/web/app/components/datasets/settings/form/index.tsx +++ b/web/app/components/datasets/settings/form/index.tsx @@ -232,7 +232,7 @@ const Form = () => {
- {t('datasetSettings.form.upgradeHighQualityTip')} + {t('datasetSettings.form.upgradeHighQualityTip')}
}
diff --git a/web/app/components/datasets/settings/permission-selector/index.tsx b/web/app/components/datasets/settings/permission-selector/index.tsx index 9bb6f812d4..18b0908956 100644 --- a/web/app/components/datasets/settings/permission-selector/index.tsx +++ b/web/app/components/datasets/settings/permission-selector/index.tsx @@ -151,7 +151,7 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange,
{isPartialMembers && (
-
+
- ### ベースURL + ### ベース URL ```javascript ``` @@ -14,10 +14,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ### 認証 - サービスAPIは`API-Key`認証を使用します。 - **APIキーの漏洩による重大な結果を避けるため、APIキーはサーバーサイドに保存し、クライアントサイドでは共有や保存しないことを強く推奨します。** + サービス API は `API-Key` 認証を使用します。 + **API キーの漏洩による重大な結果を避けるため、API キーはサーバーサイドに保存し、クライアントサイドでは共有や保存しないことを強く推奨します。** - すべてのAPIリクエストで、以下のように`Authorization` HTTPヘッダーにAPIキーを含めてください： + すべての API リクエストで、以下のように `Authorization` HTTP ヘッダーに API キーを含めてください： ```javascript @@ -212,7 +212,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
メッセージ送信時に使用するファイル（現在は画像のみ対応）をアップロードし、画像とテキストのマルチモーダルな理解を可能にします。 - png、jpg、jpeg、webp、gif形式に対応しています。 + png、jpg、jpeg、webp、gif 形式に対応しています。 アップロードされたファイルは、現在のエンドユーザーのみが使用できます。 ### リクエストボディ @@ -223,25 +223,25 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from 開発者のルールで定義されたユーザー識別子。アプリケーション内で一意である必要があります。 ### レスポンス - アップロードが成功すると、サーバーはファイルのIDと関連情報を返します。 + アップロードが成功すると、サーバーはファイルの ID と関連情報を返します。 - `id` (uuid) ID - `name` (string) ファイル名 - `size` (int) ファイルサイズ（バイト） - `extension` (string) ファイル拡張子 - - `mime_type` (string) ファイルのMIMEタイプ + - `mime_type` (string) ファイルの MIME タイプ - `created_by` (uuid) エンドユーザーID - `created_at` (timestamp) 作成タイムスタンプ、例：1705395332 ### エラー - 400, `no_file_uploaded`, ファイルを提供する必要があります - - 400, `too_many_files`, 現在は1つのファイルのみ受け付けています + - 400, `too_many_files`, 現在は 1 つのファイルのみ受け付けています - 400, `unsupported_preview`, ファイルがプレビューに対応していません - 400, `unsupported_estimate`, ファイルが推定に対応していません - 413, `file_too_large`, ファイルが大きすぎます - 415, `unsupported_file_type`, サポートされていない拡張子です。現在はドキュメントファイルのみ受け付けています - - 503, `s3_connection_failed`, S3サービスに接続できません - - 503, `s3_permission_denied`, S3へのファイルアップロード権限がありません - - 503, `s3_file_too_large`, ファイルがS3のサイズ制限を超えています + - 503, `s3_connection_failed`, S3 サービスに接続できません + - 503, `s3_permission_denied`, S3 へのファイルアップロード権限がありません + - 503, `s3_file_too_large`, ファイルが S3 のサイズ制限を超えています - 500, 内部サーバーエラー @@ -286,7 +286,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ストリーミングモードでのみサポートされています。 ### パス - - `task_id` (string) タスクID、ストリーミングチャンクの返信から取得可能 + - `task_id` (string) タスク ID、ストリーミングチャンクの返信から取得可能 リクエストボディ - `user` (string) 必須 ユーザー識別子。エンドユーザーの身元を定義するために使用され、メッセージ送信インターフェースで渡されたユーザーと一致する必要があります。 @@ -655,22 +655,22 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - アプリのWebApp設定を取得するために使用します。 + アプリの WebApp 設定を取得するために使用します。 ### レスポンス - - `title` (string) WebApp名 - - `chat_color_theme` (string) チャットの色テーマ、16進数形式 + - `title` (string) WebApp 名 + - `chat_color_theme` (string) チャットの色テーマ、16 進数形式 - `chat_color_theme_inverted` (bool) チャットの色テーマを反転するかどうか - `icon_type` (string) アイコンタイプ、`emoji`-絵文字、`image`-画像 - - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像URL - - `icon_background` (string) 16進数形式の背景色 - - `icon_url` (string) アイコンのURL + - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像 URL + - `icon_background` (string) 16 進数形式の背景色 + - `icon_url` (string) アイコンの URL - `description` (string) 説明 - `copyright` (string) 著作権情報 - `privacy_policy` (string) プライバシーポリシーのリンク - `custom_disclaimer` (string) カスタム免責事項 - `default_language` (string) デフォルト言語 - `show_workflow_steps` (bool) ワークフローの詳細を表示するかどうか - - `use_icon_as_answer_icon` (bool) WebAppのアイコンをチャット内の🤖に置き換えるかどうか + - `use_icon_as_answer_icon` (bool) WebApp のアイコンをチャット内の🤖に置き換えるかどうか diff --git a/web/app/components/develop/template/template.zh.mdx b/web/app/components/develop/template/template.zh.mdx index 69d955b11f..9e65a4bd9b 100755 --- a/web/app/components/develop/template/template.zh.mdx +++ b/web/app/components/develop/template/template.zh.mdx @@ -60,7 +60,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' 上传的文件。 - `type` (string) 支持类型：图片 `image`（目前仅支持图片格式） 。 - - `transfer_method` (string) 传递方式: + - `transfer_method` (string) 传递方式： - `remote_url`: 图片地址。 - `local_file`: 上传文件。 - `url` 图片地址。（仅当传递方式为 `remote_url` 时）。 @@ -622,10 +622,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' 用于获取应用的 WebApp 设置 ### Response - `title` (string) WebApp 名称 - - `chat_color_theme` (string) 聊天颜色主题, hex 格式 + - `chat_color_theme` (string) 聊天颜色主题，hex 格式 - `chat_color_theme_inverted` (bool) 聊天颜色主题是否反转 - - `icon_type` (string) 图标类型, `emoji`-表情, `image`-图片 - - `icon` (string) 图标, 如果是 `emoji` 类型, 则是 emoji 表情符号, 如果是 `image` 类型, 则是图片 URL + - `icon_type` (string) 图标类型，`emoji`-表情，`image`-图片 + - `icon` (string) 图标，如果是 `emoji` 类型，则是 emoji 表情符号，如果是 `image` 类型，则是图片 URL - `icon_background` (string) hex 格式的背景色 - `icon_url` (string) 图标 URL - `description` (string) 描述 @@ -879,10 +879,10 @@ ___ 动作，只能是 'enable' 或 'disable' - 指定的嵌入模型提供商, 必须先在系统内设定好接入的模型，对应的是provider字段 + 指定的嵌入模型提供商，必须先在系统内设定好接入的模型，对应的是 provider 字段 - 指定的嵌入模型，对应的是model字段 + 指定的嵌入模型，对应的是 model 字段 相似度阈值，当相似度大于该阈值时，系统会自动回复，否则不回复 @@ -890,8 +890,8 @@ ___ - 嵌入模型的提供商和模型名称可以通过以下接口获取：v1/workspaces/current/models/model-types/text-embedding， 具体见：通过 API 维护知识库。 使用的Authorization是Dataset的API Token。 - 该接口是异步执行，所以会返回一个job_id，通过查询job状态接口可以获取到最终的执行结果。 + 嵌入模型的提供商和模型名称可以通过以下接口获取：v1/workspaces/current/models/model-types/text-embedding，具体见：通过 API 维护知识库。使用的 Authorization 是 Dataset 的 API Token。 + 该接口是异步执行，所以会返回一个 job_id，通过查询 job 状态接口可以获取到最终的执行结果。 - ### ベースURL + ### ベース URL ```javascript ``` @@ -14,10 +14,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ### 認証 - サービスAPIは`API-Key`認証を使用します。 - **APIキーはサーバー側に保存し、クライアント側で共有または保存しないことを強くお勧めします。APIキーの漏洩は深刻な結果を招く可能性があります。** + サービス API は `API-Key` 認証を使用します。 + **API キーはサーバー側に保存し、クライアント側で共有または保存しないことを強くお勧めします。API キーの漏洩は深刻な結果を招く可能性があります。** - すべてのAPIリクエストには、以下のように`Authorization`HTTPヘッダーにAPIキーを含めてください： + すべての API リクエストには、以下のように `Authorization`HTTP ヘッダーに API キーを含めてください： ```javascript @@ -327,25 +327,25 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。 ### 応答 - アップロードが成功すると、サーバーはファイルのIDと関連情報を返します。 + アップロードが成功すると、サーバーはファイルの ID と関連情報を返します。 - `id` (uuid) ID - `name` (string) ファイル名 - `size` (int) ファイルサイズ（バイト） - `extension` (string) ファイル拡張子 - - `mime_type` (string) ファイルのMIMEタイプ + - `mime_type` (string) ファイルの MIME タイプ - `created_by` (uuid) エンドユーザーID - `created_at` (timestamp) 作成タイムスタンプ、例：1705395332 ### エラー - 400, `no_file_uploaded`, ファイルが提供されなければなりません - - 400, `too_many_files`, 現在は1つのファイルのみ受け付けます + - 400, `too_many_files`, 現在は 1 つのファイルのみ受け付けます - 400, `unsupported_preview`, ファイルはプレビューをサポートしていません - 400, `unsupported_estimate`, ファイルは推定をサポートしていません - 413, `file_too_large`, ファイルが大きすぎます - 415, `unsupported_file_type`, サポートされていない拡張子、現在はドキュメントファイルのみ受け付けます - - 503, `s3_connection_failed`, S3サービスに接続できません - - 503, `s3_permission_denied`, S3にファイルをアップロードする権限がありません - - 503, `s3_file_too_large`, ファイルがS3のサイズ制限を超えています + - 503, `s3_connection_failed`, S3 サービスに接続できません + - 503, `s3_permission_denied`, S3 にファイルをアップロードする権限がありません + - 503, `s3_file_too_large`, ファイルが S3 のサイズ制限を超えています - 500, 内部サーバーエラー @@ -391,7 +391,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ストリーミングモードでのみサポートされています。 ### パス - - `task_id` (string) タスクID、ストリーミングチャンクの返り値から取得できます + - `task_id` (string) タスク ID、ストリーミングチャンクの返り値から取得できます ### リクエストボディ - `user` (string) 必須 ユーザー識別子、エンドユーザーの身元を定義するために使用され、送信メッセージインターフェースで渡されたユーザーと一致している必要があります。 @@ -712,7 +712,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - 現在のユーザーの会話リストを取得し、デフォルトで最新の20件を返します。 + 現在のユーザーの会話リストを取得し、デフォルトで最新の 20 件を返します。 ### クエリ @@ -943,7 +943,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `limit` (int) ページごとのアイテム数 - `has_more` (bool) さらにアイテムがあるかどうか - `data` (array[object]) 変数のリスト - - `id` (string) 変数ID + - `id` (string) 変数 ID - `name` (string) 変数名 - `value_type` (string) 変数タイプ（文字列、数値、真偽値など） - `value` (string) 変数値 @@ -1014,7 +1014,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - このエンドポイントはmultipart/form-dataリクエストを必要とします。 + このエンドポイントは multipart/form-data リクエストを必要とします。 ### リクエストボディ @@ -1288,9 +1288,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `tool_name` (string) - `icon` (object|string) - (object) アイコンオブジェクト - - `background` (string) 背景色（16進数形式） + - `background` (string) 背景色（16 進数形式） - `content`(string) 絵文字 - - (string) アイコンのURL + - (string) アイコンの URL @@ -1327,22 +1327,22 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - アプリのWebApp設定を取得するために使用します。 + アプリの WebApp 設定を取得するために使用します。 ### 応答 - - `title` (string) WebApp名 - - `chat_color_theme` (string) チャットの色テーマ、16進数形式 + - `title` (string) WebApp 名 + - `chat_color_theme` (string) チャットの色テーマ、16 進数形式 - `chat_color_theme_inverted` (bool) チャットの色テーマを反転するかどうか - `icon_type` (string) アイコンタイプ、`emoji`-絵文字、`image`-画像 - - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像URL - - `icon_background` (string) 16進数形式の背景色 - - `icon_url` (string) アイコンのURL + - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像 URL + - `icon_background` (string) 16 進数形式の背景色 + - `icon_url` (string) アイコンの URL - `description` (string) 説明 - `copyright` (string) 著作権情報 - `privacy_policy` (string) プライバシーポリシーのリンク - `custom_disclaimer` (string) カスタム免責事項 - `default_language` (string) デフォルト言語 - `show_workflow_steps` (bool) ワークフローの詳細を表示するかどうか - - `use_icon_as_answer_icon` (bool) WebAppのアイコンをチャット内の🤖に置き換えるかどうか + - `use_icon_as_answer_icon` (bool) WebApp のアイコンをチャット内の🤖に置き換えるかどうか diff --git a/web/app/components/develop/template/template_advanced_chat.zh.mdx b/web/app/components/develop/template/template_advanced_chat.zh.mdx index 828b8d1f68..3e268d6e65 100755 --- a/web/app/components/develop/template/template_advanced_chat.zh.mdx +++ b/web/app/components/develop/template/template_advanced_chat.zh.mdx @@ -981,7 +981,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' - `limit` (int) 每页项目数 - `has_more` (bool) 是否有更多项目 - `data` (array[object]) 变量列表 - - `id` (string) 变量ID + - `id` (string) 变量 ID - `name` (string) 变量名称 - `value_type` (string) 变量类型（字符串、数字、布尔等） - `value` (string) 变量值 @@ -1300,15 +1300,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' /> - 用于获取工具icon + 用于获取工具 icon ### Response - `tool_icons`(object[string]) 工具图标 - `工具名称` (string) - `icon` (object|string) - (object) 图标 - - `background` (string) hex格式的背景色 + - `background` (string) hex 格式的背景色 - `content`(string) emoji - - (string) 图标URL + - (string) 图标 URL @@ -1347,10 +1347,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' 用于获取应用的 WebApp 设置 ### Response - `title` (string) WebApp 名称 - - `chat_color_theme` (string) 聊天颜色主题, hex 格式 + - `chat_color_theme` (string) 聊天颜色主题，hex 格式 - `chat_color_theme_inverted` (bool) 聊天颜色主题是否反转 - - `icon_type` (string) 图标类型, `emoji`-表情, `image`-图片 - - `icon` (string) 图标, 如果是 `emoji` 类型, 则是 emoji 表情符号, 如果是 `image` 类型, 则是图片 URL + - `icon_type` (string) 图标类型，`emoji`-表情，`image`-图片 + - `icon` (string) 图标，如果是 `emoji` 类型，则是 emoji 表情符号，如果是 `image` 类型，则是图片 URL - `icon_background` (string) hex 格式的背景色 - `icon_url` (string) 图标 URL - `description` (string) 描述 @@ -1604,10 +1604,10 @@ ___ 动作，只能是 'enable' 或 'disable' - 指定的嵌入模型提供商, 必须先在系统内设定好接入的模型，对应的是provider字段 + 指定的嵌入模型提供商，必须先在系统内设定好接入的模型，对应的是 provider 字段 - 指定的嵌入模型，对应的是model字段 + 指定的嵌入模型，对应的是 model 字段 相似度阈值，当相似度大于该阈值时，系统会自动回复，否则不回复 @@ -1615,7 +1615,7 @@ ___ - 嵌入模型的提供商和模型名称可以通过以下接口获取：v1/workspaces/current/models/model-types/text-embedding， 具体见：通过 API 维护知识库。 使用的Authorization是Dataset的API Token。 + 嵌入模型的提供商和模型名称可以通过以下接口获取：v1/workspaces/current/models/model-types/text-embedding，具体见：通过 API 维护知识库。使用的 Authorization 是 Dataset 的 API Token。 - ### ベースURL + ### ベース URL ```javascript ``` @@ -14,10 +14,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ### 認証 - サービスAPIは`API-Key`認証を使用します。 - **APIキーの漏洩を防ぐため、APIキーはクライアント側で共有または保存せず、サーバー側で保存することを強くお勧めします。** + サービス API は `API-Key` 認証を使用します。 + **API キーの漏洩を防ぐため、API キーはクライアント側で共有または保存せず、サーバー側で保存することを強くお勧めします。** - すべてのAPIリクエストにおいて、以下のように`Authorization`HTTPヘッダーにAPIキーを含めてください： + すべての API リクエストにおいて、以下のように `Authorization`HTTP ヘッダーに API キーを含めてください： ```javascript @@ -279,7 +279,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from メッセージ送信時に使用するためのファイルをアップロードします（現在は画像のみサポート）。画像とテキストのマルチモーダル理解を可能にします。 - png、jpg、jpeg、webp、gif形式をサポートしています。 + png、jpg、jpeg、webp、gif 形式をサポートしています。 アップロードされたファイルは現在のエンドユーザーのみが使用できます。 ### リクエストボディ @@ -290,25 +290,25 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ユーザー識別子、開発者のルールで定義され、アプリケーション内で一意でなければなりません。 ### 応答 - アップロードが成功すると、サーバーはファイルのIDと関連情報を返します。 + アップロードが成功すると、サーバーはファイルの ID と関連情報を返します。 - `id` (uuid) ID - `name` (string) ファイル名 - `size` (int) ファイルサイズ（バイト） - `extension` (string) ファイル拡張子 - - `mime_type` (string) ファイルのMIMEタイプ + - `mime_type` (string) ファイルの MIME タイプ - `created_by` (uuid) エンドユーザーID - `created_at` (timestamp) 作成タイムスタンプ、例：1705395332 ### エラー - 400, `no_file_uploaded`, ファイルが提供されなければなりません - - 400, `too_many_files`, 現在は1つのファイルのみ受け付けます + - 400, `too_many_files`, 現在は 1 つのファイルのみ受け付けます - 400, `unsupported_preview`, ファイルはプレビューをサポートしていません - 400, `unsupported_estimate`, ファイルは推定をサポートしていません - 413, `file_too_large`, ファイルが大きすぎます - 415, `unsupported_file_type`, サポートされていない拡張子、現在はドキュメントファイルのみ受け付けます - - 503, `s3_connection_failed`, S3サービスに接続できません - - 503, `s3_permission_denied`, S3にファイルをアップロードする権限がありません - - 503, `s3_file_too_large`, ファイルがS3のサイズ制限を超えています + - 503, `s3_connection_failed`, S3 サービスに接続できません + - 503, `s3_permission_denied`, S3 にファイルをアップロードする権限がありません + - 503, `s3_file_too_large`, ファイルが S3 のサイズ制限を超えています - 500, 内部サーバーエラー @@ -354,7 +354,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ストリーミングモードでのみサポートされています。 ### パス - - `task_id` (string) タスクID、ストリーミングチャンクの返り値から取得できます + - `task_id` (string) タスク ID、ストリーミングチャンクの返り値から取得できます ### リクエストボディ - `user` (string) 必須 ユーザー識別子、エンドユーザーのアイデンティティを定義するために使用され、メッセージ送信インターフェースで渡されたユーザーと一致している必要があります。 @@ -745,7 +745,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - 現在のユーザーの会話リストを取得し、デフォルトで最新の20件を返します。 + 現在のユーザーの会話リストを取得し、デフォルトで最新の 20 件を返します。 ### クエリ @@ -975,7 +975,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `limit` (int) ページごとのアイテム数 - `has_more` (bool) さらにアイテムがあるかどうか - `data` (array[object]) 変数のリスト - - `id` (string) 変数ID + - `id` (string) 変数 ID - `name` (string) 変数名 - `value_type` (string) 変数タイプ（文字列、数値、真偽値など） - `value` (string) 変数値 @@ -1046,7 +1046,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - このエンドポイントはmultipart/form-dataリクエストを必要とします。 + このエンドポイントは multipart/form-data リクエストを必要とします。 ### リクエストボディ @@ -1315,9 +1315,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `tool_name` (string) - `icon` (object|string) - (object) アイコンオブジェクト - - `background` (string) 背景色（16進数形式） + - `background` (string) 背景色（16 進数形式） - `content`(string) 絵文字 - - (string) アイコンのURL + - (string) アイコンの URL @@ -1354,22 +1354,22 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - アプリのWebApp設定を取得するために使用します。 + アプリの WebApp 設定を取得するために使用します。 ### 応答 - - `title` (string) WebApp名 - - `chat_color_theme` (string) チャットの色テーマ、16進数形式 + - `title` (string) WebApp 名 + - `chat_color_theme` (string) チャットの色テーマ、16 進数形式 - `chat_color_theme_inverted` (bool) チャットの色テーマを反転するかどうか - `icon_type` (string) アイコンタイプ、`emoji`-絵文字、`image`-画像 - - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像URL - - `icon_background` (string) 16進数形式の背景色 - - `icon_url` (string) アイコンのURL + - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像 URL + - `icon_background` (string) 16 進数形式の背景色 + - `icon_url` (string) アイコンの URL - `description` (string) 説明 - `copyright` (string) 著作権情報 - `privacy_policy` (string) プライバシーポリシーのリンク - `custom_disclaimer` (string) カスタム免責事項 - `default_language` (string) デフォルト言語 - `show_workflow_steps` (bool) ワークフローの詳細を表示するかどうか - - `use_icon_as_answer_icon` (bool) WebAppのアイコンをチャット内の🤖に置き換えるかどうか + - `use_icon_as_answer_icon` (bool) WebApp のアイコンをチャット内の🤖に置き換えるかどうか diff --git a/web/app/components/develop/template/template_chat.zh.mdx b/web/app/components/develop/template/template_chat.zh.mdx index 233e68d42f..9c1a168bf5 100644 --- a/web/app/components/develop/template/template_chat.zh.mdx +++ b/web/app/components/develop/template/template_chat.zh.mdx @@ -991,7 +991,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' - `limit` (int) 每页项目数 - `has_more` (bool) 是否有更多项目 - `data` (array[object]) 变量列表 - - `id` (string) 变量ID + - `id` (string) 变量 ID - `name` (string) 变量名称 - `value_type` (string) 变量类型（字符串、数字、布尔等） - `value` (string) 变量值 @@ -1305,15 +1305,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' /> - 用于获取工具icon + 用于获取工具 icon ### Response - `tool_icons`(object[string]) 工具图标 - `工具名称` (string) - `icon` (object|string) - (object) 图标 - - `background` (string) hex格式的背景色 + - `background` (string) hex 格式的背景色 - `content`(string) emoji - - (string) 图标URL + - (string) 图标 URL @@ -1353,10 +1353,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx' 用于获取应用的 WebApp 设置 ### Response - `title` (string) WebApp 名称 - - `chat_color_theme` (string) 聊天颜色主题, hex 格式 + - `chat_color_theme` (string) 聊天颜色主题，hex 格式 - `chat_color_theme_inverted` (bool) 聊天颜色主题是否反转 - - `icon_type` (string) 图标类型, `emoji`-表情, `image`-图片 - - `icon` (string) 图标, 如果是 `emoji` 类型, 则是 emoji 表情符号, 如果是 `image` 类型, 则是图片 URL + - `icon_type` (string) 图标类型，`emoji`-表情，`image`-图片 + - `icon` (string) 图标，如果是 `emoji` 类型，则是 emoji 表情符号，如果是 `image` 类型，则是图片 URL - `icon_background` (string) hex 格式的背景色 - `icon_url` (string) 图标 URL - `description` (string) 描述 diff --git a/web/app/components/develop/template/template_workflow.ja.mdx b/web/app/components/develop/template/template_workflow.ja.mdx index 3ab286d28a..ab53d05e81 100644 --- a/web/app/components/develop/template/template_workflow.ja.mdx +++ b/web/app/components/develop/template/template_workflow.ja.mdx @@ -1,12 +1,12 @@ import { CodeGroup } from '../code.tsx' import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '../md.tsx' -# ワークフローアプリAPI +# ワークフローアプリ API -ワークフローアプリケーションは、セッションをサポートせず、翻訳、記事作成、要約AIなどに最適です。 +ワークフローアプリケーションは、セッションをサポートせず、翻訳、記事作成、要約 AI などに最適です。
- ### ベースURL + ### ベース URL ```javascript ``` @@ -14,10 +14,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ### 認証 - サービスAPIは`API-Key`認証を使用します。 - **APIキーの漏洩を防ぐため、APIキーはクライアント側で共有または保存せず、サーバー側で保存することを強くお勧めします。** + サービス API は `API-Key` 認証を使用します。 + **API キーの漏洩を防ぐため、API キーはクライアント側で共有または保存せず、サーバー側で保存することを強くお勧めします。** - すべてのAPIリクエストにおいて、以下のように`Authorization`HTTPヘッダーにAPIキーを含めてください： + すべての API リクエストにおいて、以下のように `Authorization`HTTP ヘッダーに API キーを含めてください： ```javascript @@ -61,7 +61,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from 応答の返却モードを指定します。サポートされているモード： - `streaming` ストリーミングモード（推奨）、SSE（[Server-Sent Events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events)）を通じてタイプライターのような出力を実装します。 - `blocking` ブロッキングモード、実行完了後に結果を返します。（プロセスが長い場合、リクエストが中断される可能性があります） - Cloudflareの制限により、100秒後に応答がない場合、リクエストは中断されます。 + Cloudflare の制限により、100 秒後に応答がない場合、リクエストは中断されます。 - `user` (string) 必須 ユーザー識別子、エンドユーザーのアイデンティティを定義するために使用されます。 アプリケーション内で開発者によって一意に定義される必要があります。 @@ -69,28 +69,28 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ### 応答 - `response_mode`が`blocking`の場合、CompletionResponseオブジェクトを返します。 - `response_mode`が`streaming`の場合、ChunkCompletionResponseストリームを返します。 + `response_mode`が`blocking`の場合、CompletionResponse オブジェクトを返します。 + `response_mode`が`streaming`の場合、ChunkCompletionResponse ストリームを返します。 ### CompletionResponse アプリの結果を返します。`Content-Type`は`application/json`です。 - - `workflow_run_id` (string) ワークフロー実行の一意のID - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 - `data` (object) 結果の詳細 - - `id` (string) ワークフロー実行のID - - `workflow_id` (string) 関連するワークフローのID + - `id` (string) ワークフロー実行の ID + - `workflow_id` (string) 関連するワークフローの ID - `status` (string) 実行のステータス、`running` / `succeeded` / `failed` / `stopped` - `outputs` (json) オプションの出力内容 - `error` (string) オプションのエラー理由 - `elapsed_time` (float) オプションの使用時間（秒） - `total_tokens` (int) オプションの使用トークン数 - - `total_steps` (int) デフォルト0 + - `total_steps` (int) デフォルト 0 - `created_at` (timestamp) 開始時間 - `finished_at` (timestamp) 終了時間 ### ChunkCompletionResponse アプリによって出力されたストリームチャンクを返します。`Content-Type`は`text/event-stream`です。 - 各ストリーミングチャンクは`data:`で始まり、2つの改行文字`\n\n`で区切られます。以下のように表示されます： + 各ストリーミングチャンクは`data:`で始まり、2 つの改行文字`\n\n`で区切られます。以下のように表示されます： ```streaming {{ title: '応答' }} data: {"event": "text_chunk", "workflow_run_id": "b85e5fc5-751b-454d-b14e-dc5f240b0a31", "task_id": "bd029338-b068-4d34-a331-fc85478922c2", "data": {"text": "\u4e3a\u4e86", "from_variable_selector": ["1745912968134", "text"]}}\n\n @@ -98,45 +98,45 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ストリーミングチャンクの構造は`event`に応じて異なります： - `event: workflow_started` ワークフローが実行を開始 - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 - - `workflow_run_id` (string) ワークフロー実行の一意のID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID - `event` (string) `workflow_started`に固定 - `data` (object) 詳細 - - `id` (string) ワークフロー実行の一意のID - - `workflow_id` (string) 関連するワークフローのID - - `sequence_number` (int) 自己増加シリアル番号、アプリ内で自己増加し、1から始まります + - `id` (string) ワークフロー実行の一意の ID + - `workflow_id` (string) 関連するワークフローの ID + - `sequence_number` (int) 自己増加シリアル番号、アプリ内で自己増加し、1 から始まります - `created_at` (timestamp) 作成タイムスタンプ、例：1705395332 - `event: node_started` ノード実行開始 - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 - - `workflow_run_id` (string) ワークフロー実行の一意のID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID - `event` (string) `node_started`に固定 - `data` (object) 詳細 - - `id` (string) ワークフロー実行の一意のID - - `node_id` (string) ノードのID + - `id` (string) ワークフロー実行の一意の ID + - `node_id` (string) ノードの ID - `node_type` (string) ノードのタイプ - `title` (string) ノードの名前 - `index` (int) 実行シーケンス番号、トレースノードシーケンスを表示するために使用 - - `predecessor_node_id` (string) オプションのプレフィックスノードID、キャンバス表示実行パスに使用 + - `predecessor_node_id` (string) オプションのプレフィックスノード ID、キャンバス表示実行パスに使用 - `inputs` (object) ノードで使用されるすべての前のノード変数の内容 - `created_at` (timestamp) 開始のタイムスタンプ、例：1705395332 - `event: text_chunk` テキストフラグメント - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 - - `workflow_run_id` (string) ワークフロー実行の一意のID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID - `event` (string) `text_chunk`に固定 - `data` (object) 詳細 - `text` (string) テキスト内容 - `from_variable_selector` (array) テキスト生成元パス（開発者がどのノードのどの変数から生成されたかを理解するための情報） - `event: node_finished` ノード実行終了、同じイベントで異なる状態で成功または失敗 - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 - - `workflow_run_id` (string) ワークフロー実行の一意のID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID - `event` (string) `node_finished`に固定 - `data` (object) 詳細 - - `id` (string) ワークフロー実行の一意のID - - `node_id` (string) ノードのID + - `id` (string) ワークフロー実行の一意の ID + - `node_id` (string) ノードの ID - `node_type` (string) ノードのタイプ - `title` (string) ノードの名前 - `index` (int) 実行シーケンス番号、トレースノードシーケンスを表示するために使用 - - `predecessor_node_id` (string) オプションのプレフィックスノードID、キャンバス表示実行パスに使用 + - `predecessor_node_id` (string) オプションのプレフィックスノード ID、キャンバス表示実行パスに使用 - `inputs` (object) ノードで使用されるすべての前のノード変数の内容 - `process_data` (json) オプションのノードプロセスデータ - `outputs` (json) オプションの出力内容 @@ -149,31 +149,31 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `currency` (string) オプション 例：`USD` / `RMB` - `created_at` (timestamp) 開始のタイムスタンプ、例：1705395332 - `event: workflow_finished` ワークフロー実行終了、同じイベントで異なる状態で成功または失敗 - - `task_id` (string) タスクID、リクエスト追跡と以下のStop Generate APIに使用 - - `workflow_run_id` (string) ワークフロー実行の一意のID + - `task_id` (string) タスク ID、リクエスト追跡と以下の Stop Generate API に使用 + - `workflow_run_id` (string) ワークフロー実行の一意の ID - `event` (string) `workflow_finished`に固定 - `data` (object) 詳細 - - `id` (string) ワークフロー実行のID - - `workflow_id` (string) 関連するワークフローのID + - `id` (string) ワークフロー実行の ID + - `workflow_id` (string) 関連するワークフローの ID - `status` (string) 実行のステータス、`running` / `succeeded` / `failed` / `stopped` - `outputs` (json) オプションの出力内容 - `error` (string) オプションのエラー理由 - `elapsed_time` (float) オプションの使用時間（秒） - `total_tokens` (int) オプションの使用トークン数 - - `total_steps` (int) デフォルト0 + - `total_steps` (int) デフォルト 0 - `created_at` (timestamp) 開始時間 - `finished_at` (timestamp) 終了時間 - - `event: tts_message` TTSオーディオストリームイベント、つまり音声合成出力。内容はMp3形式のオーディオブロックで、base64文字列としてエンコードされています。再生時には、base64をデコードしてプレーヤーに入力するだけです。（このメッセージは自動再生が有効な場合にのみ利用可能） - - `task_id` (string) タスクID、リクエスト追跡と以下の停止応答インターフェースに使用 - - `message_id` (string) 一意のメッセージID - - `audio` (string) 音声合成後のオーディオ、base64テキストコンテンツとしてエンコードされており、再生時にはbase64をデコードしてプレーヤーに入力するだけです + - `event: tts_message` TTS オーディオストリームイベント、つまり音声合成出力。内容は Mp3 形式のオーディオブロックで、base64 文字列としてエンコードされています。再生時には、base64 をデコードしてプレーヤーに入力するだけです。（このメッセージは自動再生が有効な場合にのみ利用可能） + - `task_id` (string) タスク ID、リクエスト追跡と以下の停止応答インターフェースに使用 + - `message_id` (string) 一意のメッセージ ID + - `audio` (string) 音声合成後のオーディオ、base64 テキストコンテンツとしてエンコードされており、再生時には base64 をデコードしてプレーヤーに入力するだけです - `created_at` (int) 作成タイムスタンプ、例：1705395332 - - `event: tts_message_end` TTSオーディオストリーム終了イベント。このイベントを受信すると、オーディオストリームの終了を示します。 - - `task_id` (string) タスクID、リクエスト追跡と以下の停止応答インターフェースに使用 - - `message_id` (string) 一意のメッセージID + - `event: tts_message_end` TTS オーディオストリーム終了イベント。このイベントを受信すると、オーディオストリームの終了を示します。 + - `task_id` (string) タスク ID、リクエスト追跡と以下の停止応答インターフェースに使用 + - `message_id` (string) 一意のメッセージ ID - `audio` (string) 終了イベントにはオーディオがないため、これは空の文字列です - `created_at` (int) 作成タイムスタンプ、例：1705395332 - - `event: ping` 接続を維持するために10秒ごとに送信されるPingイベント。 + - `event: ping` 接続を維持するために 10 秒ごとに送信される Ping イベント。 ### エラー - 400, `invalid_param`, 異常なパラメータ入力 @@ -342,12 +342,12 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from />
- ワークフロー実行IDに基づいて、ワークフロータスクの現在の実行結果を取得します。 + ワークフロー実行 ID に基づいて、ワークフロータスクの現在の実行結果を取得します。 ### パス - `workflow_id` (string) ワークフローID、ストリーミングチャンクの返り値から取得可能 ### 応答 - - `id` (string) ワークフロー実行のID - - `workflow_id` (string) 関連するワークフローのID + - `id` (string) ワークフロー実行の ID + - `workflow_id` (string) 関連するワークフローの ID - `status` (string) 実行のステータス、`running` / `succeeded` / `failed` / `stopped` - `inputs` (json) 入力内容 - `outputs` (json) 出力内容 @@ -401,7 +401,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ストリーミングモードでのみサポートされています。 ### パス - - `task_id` (string) タスクID、ストリーミングチャンクの返り値から取得可能 + - `task_id` (string) タスク ID、ストリーミングチャンクの返り値から取得可能 ### リクエストボディ - `user` (string) 必須 ユーザー識別子、エンドユーザーのアイデンティティを定義するために使用され、送信メッセージインターフェースで渡されたユーザーと一致している必要があります。 @@ -454,25 +454,25 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from ユーザー識別子、開発者のルールで定義され、アプリケーション内で一意でなければなりません。 ### 応答 - アップロードが成功すると、サーバーはファイルのIDと関連情報を返します。 + アップロードが成功すると、サーバーはファイルの ID と関連情報を返します。 - `id` (uuid) ID - `name` (string) ファイル名 - `size` (int) ファイルサイズ（バイト） - `extension` (string) ファイル拡張子 - - `mime_type` (string) ファイルのMIMEタイプ + - `mime_type` (string) ファイルの MIME タイプ - `created_by` (uuid) エンドユーザーID - `created_at` (timestamp) 作成タイムスタンプ、例：1705395332 ### エラー - 400, `no_file_uploaded`, ファイルが提供されていません - - 400, `too_many_files`, 現在は1つのファイルのみ受け付けています + - 400, `too_many_files`, 現在は 1 つのファイルのみ受け付けています - 400, `unsupported_preview`, ファイルはプレビューをサポートしていません - 400, `unsupported_estimate`, ファイルは推定をサポートしていません - 413, `file_too_large`, ファイルが大きすぎます - 415, `unsupported_file_type`, サポートされていない拡張子、現在はドキュメントファイルのみ受け付けています - - 503, `s3_connection_failed`, S3サービスに接続できません - - 503, `s3_permission_denied`, S3にファイルをアップロードする権限がありません - - 503, `s3_file_too_large`, ファイルがS3のサイズ制限を超えています + - 503, `s3_connection_failed`, S3 サービスに接続できません + - 503, `s3_permission_denied`, S3 にファイルをアップロードする権限がありません + - 503, `s3_file_too_large`, ファイルが S3 のサイズ制限を超えています - 500, 内部サーバーエラー @@ -550,7 +550,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `error` (string) オプションのエラー理由 - `elapsed_time` (float) 使用される総秒数 - `total_tokens` (int) 使用されるトークン数 - - `total_steps` (int) デフォルト0 + - `total_steps` (int) デフォルト 0 - `created_at` (timestamp) 開始時間 - `finished_at` (timestamp) 終了時間 - `created_from` (string) 作成元 @@ -560,7 +560,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from - `id` (string) ID - `type` (string) タイプ - `is_anonymous` (bool) 匿名かどうか - - `session_id` (string) セッションID + - `session_id` (string) セッション ID - `created_at` (timestamp) 作成時間 @@ -750,13 +750,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from /> - アプリのWebApp設定を取得するために使用します。 + アプリの WebApp 設定を取得するために使用します。 ### 応答 - - `title` (string) WebApp名 + - `title` (string) WebApp 名 - `icon_type` (string) アイコンタイプ、`emoji`-絵文字、`image`-画像 - - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像URL - - `icon_background` (string) 16進数形式の背景色 - - `icon_url` (string) アイコンのURL + - `icon` (string) アイコン。`emoji`タイプの場合は絵文字、`image`タイプの場合は画像 URL + - `icon_background` (string) 16 進数形式の背景色 + - `icon_url` (string) アイコンの URL - `description` (string) 説明 - `copyright` (string) 著作権情報 - `privacy_policy` (string) プライバシーポリシーのリンク diff --git a/web/app/components/develop/template/template_workflow.zh.mdx b/web/app/components/develop/template/template_workflow.zh.mdx index 17690ec3d0..fe59988eda 100644 --- a/web/app/components/develop/template/template_workflow.zh.mdx +++ b/web/app/components/develop/template/template_workflow.zh.mdx @@ -346,7 +346,7 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等 - `total_tokens` (int) 任务执行总 tokens - `created_at` (timestamp) 任务开始时间 - `finished_at` (timestamp) 任务结束时间 - - `elapsed_time` (float) 耗时(s) + - `elapsed_time` (float) 耗时 (s) ### Request Example @@ -505,7 +505,7 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等 /> - 倒序返回workflow日志 + 倒序返回 workflow 日志 ### Query @@ -534,10 +534,10 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等 - `workflow_run` (object) Workflow 执行日志 - `id` (string) 标识 - `version` (string) 版本 - - `status` (string) 执行状态, `running` / `succeeded` / `failed` / `stopped` + - `status` (string) 执行状态，`running` / `succeeded` / `failed` / `stopped` - `error` (string) (可选) 错误 - `elapsed_time` (float) 耗时，单位秒 - - `total_tokens` (int) 消耗的token数量 + - `total_tokens` (int) 消耗的 token 数量 - `total_steps` (int) 执行步骤长度 - `created_at` (timestamp) 开始时间 - `finished_at` (timestamp) 结束时间 @@ -741,8 +741,8 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等 用于获取应用的 WebApp 设置 ### Response - `title` (string) WebApp 名称 - - `icon_type` (string) 图标类型, `emoji`-表情, `image`-图片 - - `icon` (string) 图标, 如果是 `emoji` 类型, 则是 emoji 表情符号, 如果是 `image` 类型, 则是图片 URL + - `icon_type` (string) 图标类型，`emoji`-表情，`image`-图片 + - `icon` (string) 图标，如果是 `emoji` 类型，则是 emoji 表情符号，如果是 `image` 类型，则是图片 URL - `icon_background` (string) hex 格式的背景色 - `icon_url` (string) 图标 URL - `description` (string) 描述 diff --git a/web/app/components/header/account-about/index.tsx b/web/app/components/header/account-about/index.tsx index 6129b48dce..280e276be9 100644 --- a/web/app/components/header/account-about/index.tsx +++ b/web/app/components/header/account-about/index.tsx @@ -9,6 +9,7 @@ import type { LangGeniusVersionResponse } from '@/models/common' import { IS_CE_EDITION } from '@/config' import DifyLogo from '@/app/components/base/logo/dify-logo' import { noop } from 'lodash-es' +import { useGlobalPublicStore } from '@/context/global-public-context' type IAccountSettingProps = { langeniusVersionInfo: LangGeniusVersionResponse @@ -21,6 +22,7 @@ export default function AccountAbout({ }: IAccountSettingProps) { const { t } = useTranslation() const isLatest = langeniusVersionInfo.current_version === langeniusVersionInfo.latest_version + const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) return (
- + {systemFeatures.branding.enabled && systemFeatures.branding.workspace_logo + ? logo + : } +
Version {langeniusVersionInfo?.current_version}
© {dayjs().year()} LangGenius, Inc., Contributors.
diff --git a/web/app/components/header/account-setting/members-page/invited-modal/invitation-link.tsx b/web/app/components/header/account-setting/members-page/invited-modal/invitation-link.tsx index 2426f7b933..68a575f503 100644 --- a/web/app/components/header/account-setting/members-page/invited-modal/invitation-link.tsx +++ b/web/app/components/header/account-setting/members-page/invited-modal/invitation-link.tsx @@ -42,7 +42,7 @@ const InvitationLink = ({ -
{value.url}
+
{value.url}
diff --git a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx index d302defcfe..df9a9cbcf7 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx @@ -5,7 +5,7 @@ import type { } from '../declarations' import { useLanguage } from '../hooks' import { Group } from '@/app/components/base/icons/src/vender/other' -import { OpenaiBlue, OpenaiViolet } from '@/app/components/base/icons/src/public/llm' +import { OpenaiBlue, OpenaiTeal, OpenaiViolet, OpenaiYellow } from '@/app/components/base/icons/src/public/llm' import cn from '@/utils/classnames' import { renderI18nObject } from '@/i18n' @@ -22,6 +22,10 @@ const ModelIcon: FC = ({ isDeprecated = false, }) => { const language = useLanguage() + if (provider?.provider && ['openai', 'langgenius/openai/openai'].includes(provider.provider) && modelName?.startsWith('o')) + return
+ if (provider?.provider && ['openai', 'langgenius/openai/openai'].includes(provider.provider) && modelName?.includes('gpt-4.1')) + return
if (provider?.provider && ['openai', 'langgenius/openai/openai'].includes(provider.provider) && modelName?.includes('gpt-4o')) return
if (provider?.provider && ['openai', 'langgenius/openai/openai'].includes(provider.provider) && modelName?.startsWith('gpt-4')) diff --git a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx index 9dd4af468d..253269d920 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx @@ -1,6 +1,5 @@ import type { FC } from 'react' import type { ModelProvider } from '../declarations' -import { basePath } from '@/utils/var' import { useLanguage } from '../hooks' import { Openai } from '@/app/components/base/icons/src/vender/other' import { AnthropicDark, AnthropicLight } from '@/app/components/base/icons/src/public/llm' @@ -41,7 +40,7 @@ const ProviderIcon: FC = ({
provider-icon
diff --git a/web/app/components/header/github-star/index.tsx b/web/app/components/header/github-star/index.tsx index b087b9e41a..e825dcdd14 100644 --- a/web/app/components/header/github-star/index.tsx +++ b/web/app/components/header/github-star/index.tsx @@ -2,6 +2,11 @@ import { useQuery } from '@tanstack/react-query' import type { FC } from 'react' import type { GithubRepo } from '@/models/common' +import { RiLoader2Line } from '@remixicon/react' + +const defaultData = { + stargazers_count: 98570, +} const getStar = async () => { const res = await fetch('https://api.github.com/repos/langgenius/dify') @@ -13,15 +18,21 @@ const getStar = async () => { } const GithubStar: FC<{ className: string }> = (props) => { - const { isFetching, data } = useQuery({ + const { isFetching, isError, data } = useQuery({ queryKey: ['github-star'], queryFn: getStar, enabled: process.env.NODE_ENV !== 'development', - initialData: { stargazers_count: 81204 }, + retry: false, + placeholderData: defaultData, }) + if (isFetching) - return null - return {data.stargazers_count.toLocaleString()} + return + + if (isError) + return {defaultData.stargazers_count.toLocaleString()} + + return {data?.stargazers_count.toLocaleString()} } export default GithubStar diff --git a/web/app/components/header/index.tsx b/web/app/components/header/index.tsx index c2345fbdaa..a9c26e0070 100644 --- a/web/app/components/header/index.tsx +++ b/web/app/components/header/index.tsx @@ -21,6 +21,7 @@ import { useModalContext } from '@/context/modal-context' import PlanBadge from './plan-badge' import LicenseNav from './license-env' import { Plan } from '../billing/type' +import { useGlobalPublicStore } from '@/context/global-public-context' const navClassName = ` flex items-center relative mr-0 sm:mr-3 px-3 h-8 rounded-xl @@ -36,6 +37,7 @@ const Header = () => { const [isShowNavMenu, { toggle, setFalse: hideNavMenu }] = useBoolean(false) const { enableBilling, plan } = useProviderContext() const { setShowPricingModal, setShowAccountSettingModal } = useModalContext() + const systemFeatures = useGlobalPublicStore(s => s.systemFeatures) const isFreePlan = plan.type === Plan.sandbox const handlePlanClick = useCallback(() => { if (isFreePlan) @@ -60,8 +62,14 @@ const Header = () => { { !isMobile &&
- - + + {systemFeatures.branding.enabled && systemFeatures.branding.workspace_logo + ? logo + : }
/
@@ -76,7 +84,13 @@ const Header = () => { {isMobile && (
- + {systemFeatures.branding.enabled && systemFeatures.branding.workspace_logo + ? logo + : }
/
{enableBilling ? : } diff --git a/web/app/components/header/maintenance-notice.tsx b/web/app/components/header/maintenance-notice.tsx index 78715bb53e..f9c00dd01e 100644 --- a/web/app/components/header/maintenance-notice.tsx +++ b/web/app/components/header/maintenance-notice.tsx @@ -1,11 +1,10 @@ import { useState } from 'react' -import { useContext } from 'use-context-selector' -import I18n from '@/context/i18n' import { X } from '@/app/components/base/icons/src/vender/line/general' import { NOTICE_I18N } from '@/i18n/language' +import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks' const MaintenanceNotice = () => { - const { locale } = useContext(I18n) + const locale = useLanguage() const [showNotice, setShowNotice] = useState(localStorage.getItem('hide-maintenance-notice') !== '1') const handleJumpNotice = () => { diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx index 40be3e65e6..5f60483d3c 100644 --- a/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx +++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx @@ -83,7 +83,12 @@ const InstallByDSLList: FC = ({ useEffect(() => { if (!isFetchingMarketplaceDataById && infoGetById?.data.plugins) { - const payloads = infoGetById?.data.plugins + const sortedList = allPlugins.filter(d => d.type === 'marketplace').map((d) => { + const p = d as GitHubItemAndMarketPlaceDependency + const id = p.value.marketplace_plugin_unique_identifier?.split(':')[0] + return infoGetById.data.plugins.find(item => item.plugin_id === id)! + }) + const payloads = sortedList const failedIndex: number[] = [] const nextPlugins = produce(pluginsRef.current, (draft) => { marketPlaceInDSLIndex.forEach((index, i) => { diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx index ee2699b4bb..db24bdd97a 100644 --- a/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx +++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx @@ -9,6 +9,7 @@ import InstallMulti from './install-multi' import { useInstallOrUpdate } from '@/service/use-plugins' import useRefreshPluginList from '../../hooks/use-refresh-plugin-list' import { useCanInstallPluginFromMarketplace } from '@/app/components/plugins/plugin-page/use-permission' +import { useMittContextSelector } from '@/context/mitt-context' const i18nPrefix = 'plugin.installModal' type Props = { @@ -29,6 +30,7 @@ const Install: FC = ({ isHideButton, }) => { const { t } = useTranslation() + const emit = useMittContextSelector(s => s.emit) const [selectedPlugins, setSelectedPlugins] = React.useState([]) const [selectedIndexes, setSelectedIndexes] = React.useState([]) const selectedPluginsNum = selectedPlugins.length @@ -63,8 +65,12 @@ const Install: FC = ({ }) })) const hasInstallSuccess = res.some(r => r.success) - if (hasInstallSuccess) + if (hasInstallSuccess) { refreshPluginList(undefined, true) + emit('plugin:install:success', selectedPlugins.map((p) => { + return `${p.plugin_id}/${p.name}` + })) + } }, }) const handleInstall = () => { diff --git a/web/app/components/plugins/marketplace/empty/line.tsx b/web/app/components/plugins/marketplace/empty/line.tsx index 19837aa862..35afcc0d03 100644 --- a/web/app/components/plugins/marketplace/empty/line.tsx +++ b/web/app/components/plugins/marketplace/empty/line.tsx @@ -1,17 +1,39 @@ +'use client' +import useTheme from '@/hooks/use-theme' + type LineProps = { className?: string } + const Line = ({ className, }: LineProps) => { + const { theme } = useTheme() + const isDarkMode = theme === 'dark' + + if (isDarkMode) { + return ( + + + + + + + + + + + ) + } + return ( - - + + - - - - + + + + diff --git a/web/app/components/plugins/permission-setting-modal/modal.tsx b/web/app/components/plugins/permission-setting-modal/modal.tsx index f56c079818..6fd4d8c2dc 100644 --- a/web/app/components/plugins/permission-setting-modal/modal.tsx +++ b/web/app/components/plugins/permission-setting-modal/modal.tsx @@ -49,8 +49,8 @@ const PluginSettingModal: FC = ({
{[ - { title: t(`${i18nPrefix}.whoCanInstall`), key: 'install_permission', value: tempPrivilege.install_permission }, - { title: t(`${i18nPrefix}.whoCanDebug`), key: 'debug_permission', value: tempPrivilege.debug_permission }, + { title: t(`${i18nPrefix}.whoCanInstall`), key: 'install_permission', value: tempPrivilege?.install_permission || PermissionType.noOne }, + { title: t(`${i18nPrefix}.whoCanDebug`), key: 'debug_permission', value: tempPrivilege?.debug_permission || PermissionType.noOne }, ].map(({ title, key, value }) => (
diff --git a/web/app/components/plugins/plugin-detail-panel/action-list.tsx b/web/app/components/plugins/plugin-detail-panel/action-list.tsx index eb47ce3a35..2505b6d5aa 100644 --- a/web/app/components/plugins/plugin-detail-panel/action-list.tsx +++ b/web/app/components/plugins/plugin-detail-panel/action-list.tsx @@ -78,7 +78,7 @@ const ActionList = ({ className='w-full' onClick={() => setShowSettingAuth(true)} disabled={!isCurrentWorkspaceManager} - >{t('tools.auth.unauthorized')} + >{t('workflow.nodes.tool.authorize')} )}
diff --git a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx index f243d30aff..7f5f22896a 100644 --- a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx +++ b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx @@ -141,7 +141,7 @@ const MultipleToolSelector = ({ } panelShowState={panelShowState} onPanelShowStateChange={setPanelShowState} - + isEdit={false} /> {value.length === 0 && (
{t('plugin.detailPanel.toolSelector.empty')}
@@ -158,6 +158,7 @@ const MultipleToolSelector = ({ onSelect={item => handleConfigure(item, index)} onDelete={() => handleDelete(index)} supportEnableSwitch + isEdit />
))} diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx index 577de19484..ca802414f3 100644 --- a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx @@ -54,6 +54,7 @@ type Props = { scope?: string value?: ToolValue selectedTools?: ToolValue[] + isEdit?: boolean onSelect: (tool: { provider_name: string tool_name: string @@ -77,6 +78,7 @@ type Props = { const ToolSelector: FC = ({ value, selectedTools, + isEdit, disabled, placement = 'left', offset = 4, @@ -277,7 +279,7 @@ const ToolSelector: FC = ({
{!isShowSettingAuth && ( <> -
{t('plugin.detailPanel.toolSelector.title')}
+
{t(`plugin.detailPanel.toolSelector.${isEdit ? 'toolSetting' : 'title'}`)}
{/* base form */}
diff --git a/web/app/components/plugins/plugin-item/index.tsx b/web/app/components/plugins/plugin-item/index.tsx index efc635e36e..b2d5f91caa 100644 --- a/web/app/components/plugins/plugin-item/index.tsx +++ b/web/app/components/plugins/plugin-item/index.tsx @@ -108,7 +108,7 @@ const PluginItem: FC = ({ }>}
diff --git a/web/app/components/plugins/plugin-page/empty/index.tsx b/web/app/components/plugins/plugin-page/empty/index.tsx index bd1a05325d..323b47ebd0 100644 --- a/web/app/components/plugins/plugin-page/empty/index.tsx +++ b/web/app/components/plugins/plugin-page/empty/index.tsx @@ -66,14 +66,14 @@ const Empty = () => { {/* skeleton */}
{Array.from({ length: 20 }).fill(0).map((_, i) => ( -
+
))}
{/* mask */}
-
@@ -81,10 +81,10 @@ const Empty = () => {
-
+
{text}
-
+
{ {installMethods.map(({ icon: Icon, text, action }) => (
{ if (action === 'local') fileInputRef.current?.click() @@ -107,8 +106,8 @@ const Empty = () => { setSelectedAction(action) }} > - - {text} + + {text}
))}
diff --git a/web/app/components/plugins/plugin-page/index.tsx b/web/app/components/plugins/plugin-page/index.tsx index 7cba865c66..e769c8e29a 100644 --- a/web/app/components/plugins/plugin-page/index.tsx +++ b/web/app/components/plugins/plugin-page/index.tsx @@ -186,6 +186,17 @@ const PluginPage = ({ { isExploringMarketplace && ( <> + + + -
+
) } diff --git a/web/app/components/plugins/plugin-page/plugins-panel.tsx b/web/app/components/plugins/plugin-page/plugins-panel.tsx index 125e6f0a70..a5f411c37e 100644 --- a/web/app/components/plugins/plugin-page/plugins-panel.tsx +++ b/web/app/components/plugins/plugin-page/plugins-panel.tsx @@ -1,5 +1,6 @@ 'use client' import { useMemo } from 'react' +import { useTranslation } from 'react-i18next' import type { FilterState } from './filter-management' import FilterManagement from './filter-management' import List from './list' @@ -7,14 +8,16 @@ import { useInstalledLatestVersion, useInstalledPluginList, useInvalidateInstall import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel' import { usePluginPageContext } from './context' import { useDebounceFn } from 'ahooks' +import Button from '@/app/components/base/button' import Empty from './empty' import Loading from '../../base/loading' import { PluginSource } from '../types' const PluginsPanel = () => { + const { t } = useTranslation() const filters = usePluginPageContext(v => v.filters) as FilterState const setFilters = usePluginPageContext(v => v.setFilters) - const { data: pluginList, isLoading: isPluginListLoading } = useInstalledPluginList() + const { data: pluginList, isLoading: isPluginListLoading, isFetching, isLastPage, loadNextPage } = useInstalledPluginList() const { data: installedLatestVersion } = useInstalledLatestVersion( pluginList?.plugins .filter(plugin => plugin.source === PluginSource.marketplace) @@ -64,10 +67,16 @@ const PluginsPanel = () => { />
{isPluginListLoading ? : (filteredList?.length ?? 0) > 0 ? ( -
+
+ {!isLastPage && !isFetching && ( + + )} + {isFetching &&
{t('appLog.detail.loading')}
}
) : ( diff --git a/web/app/components/plugins/types.ts b/web/app/components/plugins/types.ts index e1f742de22..e9667bdfb7 100644 --- a/web/app/components/plugins/types.ts +++ b/web/app/components/plugins/types.ts @@ -331,6 +331,11 @@ export type InstalledPluginListResponse = { plugins: PluginDetail[] } +export type InstalledPluginListWithTotalResponse = { + plugins: PluginDetail[] + total: number +} + export type InstalledLatestVersionResponse = { versions: { [plugin_id: string]: { diff --git a/web/app/components/share/text-generation/index.tsx b/web/app/components/share/text-generation/index.tsx index 5450fa7ce6..6fd6d17278 100644 --- a/web/app/components/share/text-generation/index.tsx +++ b/web/app/components/share/text-generation/index.tsx @@ -641,11 +641,13 @@ const TextGeneration: FC = ({ !isPC && resultExisted && 'rounded-b-2xl border-b-[0.5px] border-divider-regular', )}>
{t('share.chat.poweredBy')}
- {systemFeatures.branding.enabled ? ( - logo - ) : ( - - )} + { + systemFeatures.branding.enabled && systemFeatures.branding.workspace_logo + ? logo + : customConfig?.replace_webapp_logo + ? logo + : + }
)}
diff --git a/web/app/components/share/text-generation/menu-dropdown.tsx b/web/app/components/share/text-generation/menu-dropdown.tsx index 19b660b083..adb926c7ca 100644 --- a/web/app/components/share/text-generation/menu-dropdown.tsx +++ b/web/app/components/share/text-generation/menu-dropdown.tsx @@ -6,9 +6,8 @@ import type { Placement } from '@floating-ui/react' import { RiEqualizer2Line, } from '@remixicon/react' -import { useRouter } from 'next/navigation' +import { usePathname, useRouter } from 'next/navigation' import Divider from '../../base/divider' -import { removeAccessToken } from '../utils' import InfoModal from './info-modal' import ActionButton from '@/app/components/base/action-button' import { @@ -19,6 +18,8 @@ import { import ThemeSwitcher from '@/app/components/base/theme-switcher' import type { SiteInfo } from '@/models/share' import cn from '@/utils/classnames' +import { useGlobalPublicStore } from '@/context/global-public-context' +import { AccessMode } from '@/models/access-control' type Props = { data?: SiteInfo @@ -31,7 +32,9 @@ const MenuDropdown: FC = ({ placement, hideLogout, }) => { + const webAppAccessMode = useGlobalPublicStore(s => s.webAppAccessMode) const router = useRouter() + const pathname = usePathname() const { t } = useTranslation() const [open, doSetOpen] = useState(false) const openRef = useRef(open) @@ -45,9 +48,10 @@ const MenuDropdown: FC = ({ }, [setOpen]) const handleLogout = useCallback(() => { - removeAccessToken() - router.replace(`/webapp-signin?redirect_url=${window.location.href}`) - }, [router]) + localStorage.removeItem('token') + localStorage.removeItem('webapp_access_token') + router.replace(`/webapp-signin?redirect_url=${pathname}`) + }, [router, pathname]) const [show, setShow] = useState(false) @@ -92,6 +96,16 @@ const MenuDropdown: FC = ({ className='system-md-regular cursor-pointer rounded-lg px-3 py-1.5 text-text-secondary hover:bg-state-base-hover' >{t('common.userProfile.about')}
+ {!(hideLogout || webAppAccessMode === AccessMode.EXTERNAL_MEMBERS || webAppAccessMode === AccessMode.PUBLIC) && ( +
+
+ {t('common.userProfile.logout')} +
+
+ )}
diff --git a/web/app/components/share/utils.ts b/web/app/components/share/utils.ts index 9ce891a50c..d793d48b48 100644 --- a/web/app/components/share/utils.ts +++ b/web/app/components/share/utils.ts @@ -10,8 +10,8 @@ export const getInitialTokenV2 = (): Record => ({ version: 2, }) -export const checkOrSetAccessToken = async () => { - const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0] +export const checkOrSetAccessToken = async (appCode?: string) => { + const sharedToken = appCode || globalThis.location.pathname.split('/').slice(-1)[0] const userId = (await getProcessedSystemVariablesFromUrlParams()).user_id const accessToken = localStorage.getItem('token') || JSON.stringify(getInitialTokenV2()) let accessTokenJson = getInitialTokenV2() @@ -23,8 +23,10 @@ export const checkOrSetAccessToken = async () => { catch { } + if (!accessTokenJson[sharedToken]?.[userId || 'DEFAULT']) { - const res = await fetchAccessToken(sharedToken, userId) + const webAppAccessToken = localStorage.getItem('webapp_access_token') + const res = await fetchAccessToken({ appCode: sharedToken, userId, webAppAccessToken }) accessTokenJson[sharedToken] = { ...accessTokenJson[sharedToken], [userId || 'DEFAULT']: res.access_token, @@ -33,7 +35,7 @@ export const checkOrSetAccessToken = async () => { } } -export const setAccessToken = async (sharedToken: string, token: string, user_id?: string) => { +export const setAccessToken = (sharedToken: string, token: string, user_id?: string) => { const accessToken = localStorage.getItem('token') || JSON.stringify(getInitialTokenV2()) let accessTokenJson = getInitialTokenV2() try { @@ -69,6 +71,7 @@ export const removeAccessToken = () => { } localStorage.removeItem(CONVERSATION_ID_INFO) + localStorage.removeItem('webapp_access_token') delete accessTokenJson[sharedToken] localStorage.setItem('token', JSON.stringify(accessTokenJson)) diff --git a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx index 7798ed3cb2..abc7d8dbc4 100644 --- a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx +++ b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx @@ -148,7 +148,7 @@ const CodeEditor: FC = ({ {isShowVarPicker && (
diff --git a/web/app/components/workflow/nodes/_base/components/node-position.tsx b/web/app/components/workflow/nodes/_base/components/node-position.tsx new file mode 100644 index 0000000000..404648dfa6 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/node-position.tsx @@ -0,0 +1,54 @@ +import { memo } from 'react' +import { useTranslation } from 'react-i18next' +import { RiCrosshairLine } from '@remixicon/react' +import type { XYPosition } from 'reactflow' +import { useReactFlow, useStoreApi } from 'reactflow' +import TooltipPlus from '@/app/components/base/tooltip' +import { useNodesSyncDraft } from '@/app/components/workflow-app/hooks' + +type NodePositionProps = { + nodePosition: XYPosition, + nodeWidth?: number | null, + nodeHeight?: number | null, +} +const NodePosition = ({ + nodePosition, + nodeWidth, + nodeHeight, +}: NodePositionProps) => { + const { t } = useTranslation() + const reactflow = useReactFlow() + const store = useStoreApi() + const { doSyncWorkflowDraft } = useNodesSyncDraft() + + if (!nodePosition || !nodeWidth || !nodeHeight) return null + + const workflowContainer = document.getElementById('workflow-container') + const { transform } = store.getState() + const zoom = transform[2] + + const { clientWidth, clientHeight } = workflowContainer! + const { setViewport } = reactflow + + return ( + +
{ + setViewport({ + x: (clientWidth - 400 - nodeWidth * zoom) / 2 - nodePosition.x * zoom, + y: (clientHeight - nodeHeight * zoom) / 2 - nodePosition.y * zoom, + zoom: transform[2], + }) + doSyncWorkflowDraft() + }} + > + +
+ + ) +} + +export default memo(NodePosition) diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-type-picker.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-type-picker.tsx index 926d7ac705..d0e42d5e47 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/var-type-picker.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/var-type-picker.tsx @@ -43,7 +43,7 @@ const VarReferencePicker: FC = ({ offset={4} > setOpen(!open)} className='w-[120px] cursor-pointer'> -
+
{value}
diff --git a/web/app/components/workflow/nodes/_base/panel.tsx b/web/app/components/workflow/nodes/_base/panel.tsx index 2ee39a3b06..49c61b3416 100644 --- a/web/app/components/workflow/nodes/_base/panel.tsx +++ b/web/app/components/workflow/nodes/_base/panel.tsx @@ -16,6 +16,7 @@ import { useTranslation } from 'react-i18next' import NextStep from './components/next-step' import PanelOperator from './components/panel-operator' import HelpLink from './components/help-link' +import NodePosition from './components/node-position' import { DescriptionInput, TitleInput, @@ -55,6 +56,9 @@ const BasePanel: FC = ({ id, data, children, + position, + width, + height, }) => { const { t } = useTranslation() const { showMessageLogModal } = useAppStore(useShallow(state => ({ @@ -150,6 +154,7 @@ const BasePanel: FC = ({ ) } +
diff --git a/web/app/components/workflow/nodes/agent/default.ts b/web/app/components/workflow/nodes/agent/default.ts index 4e7b447de8..d80def7bd2 100644 --- a/web/app/components/workflow/nodes/agent/default.ts +++ b/web/app/components/workflow/nodes/agent/default.ts @@ -126,7 +126,7 @@ const nodeDefault: NodeDefault = { } } // common params - if (param.required && !payload.agent_parameters?.[param.name]?.value) { + if (param.required && !(payload.agent_parameters?.[param.name]?.value || param.default)) { return { isValid: false, errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }), diff --git a/web/app/components/workflow/nodes/code/code-parser.spec.ts b/web/app/components/workflow/nodes/code/code-parser.spec.ts index b5d28dd136..67f2c218e1 100644 --- a/web/app/components/workflow/nodes/code/code-parser.spec.ts +++ b/web/app/components/workflow/nodes/code/code-parser.spec.ts @@ -57,7 +57,7 @@ describe('extractFunctionParams', () => { }) }) - // JavaScriptのテストケース + // JavaScript のテストケース describe('JavaScript', () => { test('handles no parameters', () => { const result = extractFunctionParams(SAMPLE_CODES.javascript.noParams, CodeLanguage.javascript) @@ -180,7 +180,7 @@ function main(name, age, city) { } describe('extractReturnType', () => { - // Python3のテスト + // Python3 のテスト describe('Python3', () => { test('extracts single return value', () => { const result = extractReturnType(RETURN_TYPE_SAMPLES.python3.singleReturn, CodeLanguage.python3) @@ -247,7 +247,7 @@ describe('extractReturnType', () => { }) }) - // JavaScriptのテスト + // JavaScript のテスト describe('JavaScript', () => { test('extracts single return value', () => { const result = extractReturnType(RETURN_TYPE_SAMPLES.javascript.singleReturn, CodeLanguage.javascript) diff --git a/web/app/components/workflow/nodes/code/code-parser.ts b/web/app/components/workflow/nodes/code/code-parser.ts index 0973a01bd0..216e13eaca 100644 --- a/web/app/components/workflow/nodes/code/code-parser.ts +++ b/web/app/components/workflow/nodes/code/code-parser.ts @@ -31,7 +31,7 @@ export const extractReturnType = (code: string, language: CodeLanguage): OutputV if (returnIndex === -1) return {} - // returnから始まる部分文字列を取得 + // return から始まる部分文字列を取得 const codeAfterReturn = codeWithoutComments.slice(returnIndex) let bracketCount = 0 diff --git a/web/app/components/workflow/nodes/http/components/curl-panel.tsx b/web/app/components/workflow/nodes/http/components/curl-panel.tsx index 52e28d7336..a5339a1f39 100644 --- a/web/app/components/workflow/nodes/http/components/curl-panel.tsx +++ b/web/app/components/workflow/nodes/http/components/curl-panel.tsx @@ -2,7 +2,7 @@ import type { FC } from 'react' import React, { useCallback, useState } from 'react' import { useTranslation } from 'react-i18next' -import { BodyType, type HttpNodeType, Method } from '../types' +import { BodyPayloadValueType, BodyType, type HttpNodeType, Method } from '../types' import Modal from '@/app/components/base/modal' import Button from '@/app/components/base/button' import Textarea from '@/app/components/base/textarea' @@ -51,11 +51,16 @@ const parseCurl = (curlCommand: string): { node: HttpNodeType | null; error: str case '-d': case '--data': case '--data-raw': - case '--data-binary': + case '--data-binary': { if (i + 1 >= args.length) return { node: null, error: 'Missing data value after -d, --data, --data-raw, or --data-binary.' } - node.body = { type: BodyType.rawText, data: args[++i].replace(/^['"]|['"]$/g, '') } + const bodyPayload = [{ + type: BodyPayloadValueType.text, + value: args[++i].replace(/^['"]|['"]$/g, ''), + }] + node.body = { type: BodyType.rawText, data: bodyPayload } break + } case '-F': case '--form': { if (i + 1 >= args.length) diff --git a/web/app/components/workflow/nodes/http/use-config.ts b/web/app/components/workflow/nodes/http/use-config.ts index 68c0a89fe7..73c84c369f 100644 --- a/web/app/components/workflow/nodes/http/use-config.ts +++ b/web/app/components/workflow/nodes/http/use-config.ts @@ -42,6 +42,12 @@ const useConfig = (id: string, payload: HttpNodeType) => { data: transformToBodyPayload(bodyData, [BodyType.formData, BodyType.xWwwFormUrlencoded].includes(newInputs.body.type)), } } + else if (!bodyData) { + newInputs.body = { + ...newInputs.body, + data: [], + } + } setInputs(newInputs) setIsDataReady(true) @@ -151,7 +157,7 @@ const useConfig = (id: string, payload: HttpNodeType) => { inputs.url, inputs.headers, inputs.params, - typeof inputs.body.data === 'string' ? inputs.body.data : inputs.body.data.map(item => item.value).join(''), + typeof inputs.body.data === 'string' ? inputs.body.data : inputs.body.data?.map(item => item.value).join(''), fileVarInputs, ]) diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-common-variable-selector.tsx.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-common-variable-selector.tsx similarity index 100% rename from web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-common-variable-selector.tsx.tsx rename to web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-common-variable-selector.tsx diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-number.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-number.tsx index 32fd64dec4..7016e8bd2a 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-number.tsx +++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-number.tsx @@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next' import ConditionValueMethod from './condition-value-method' import type { ConditionValueMethodProps } from './condition-value-method' import ConditionVariableSelector from './condition-variable-selector' -import ConditionCommonVariableSelector from './condition-common-variable-selector.tsx' +import ConditionCommonVariableSelector from './condition-common-variable-selector' import type { Node, NodeOutPutVar, diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-string.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-string.tsx index f376ee55ff..cf85f1259b 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-string.tsx +++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/metadata/condition-list/condition-string.tsx @@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next' import ConditionValueMethod from './condition-value-method' import type { ConditionValueMethodProps } from './condition-value-method' import ConditionVariableSelector from './condition-variable-selector' -import ConditionCommonVariableSelector from './condition-common-variable-selector.tsx' +import ConditionCommonVariableSelector from './condition-common-variable-selector' import type { Node, NodeOutPutVar, diff --git a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/code-editor.tsx b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/code-editor.tsx index a3c2552b45..2ae7fec78d 100644 --- a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/code-editor.tsx +++ b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/code-editor.tsx @@ -28,6 +28,7 @@ const CodeEditor: FC = ({ const { theme } = useTheme() const monacoRef = useRef(null) const editorRef = useRef(null) + const containerRef = useRef(null) useEffect(() => { if (monacoRef.current) { @@ -74,6 +75,19 @@ const CodeEditor: FC = ({ onUpdate?.(value) }, [onUpdate]) + useEffect(() => { + const resizeObserver = new ResizeObserver(() => { + editorRef.current?.layout() + }) + + if (containerRef.current) + resizeObserver.observe(containerRef.current) + + return () => { + resizeObserver.disconnect() + } + }, []) + return (
@@ -102,9 +116,11 @@ const CodeEditor: FC = ({
-
+
= ({ scrollBeyondLastLine: false, wordWrap: 'on', wrappingIndent: 'same', - // Add these options overviewRulerBorder: false, hideCursorInOverviewRuler: true, renderLineHighlightOnlyWhenFocus: false, diff --git a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx index 344d02c011..2b8574b285 100644 --- a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx +++ b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx @@ -21,7 +21,7 @@ import { MittProvider, VisualEditorContextProvider, useMittContext } from './vis import ErrorMessage from './error-message' import { useVisualEditorStore } from './visual-editor/store' import Toast from '@/app/components/base/toast' -import { useGetLanguage } from '@/context/i18n' +import { useGetDocLanguage } from '@/context/i18n' import { JSON_SCHEMA_MAX_DEPTH } from '@/config' type JsonSchemaConfigProps = { @@ -47,21 +47,13 @@ const DEFAULT_SCHEMA: SchemaRoot = { additionalProperties: false, } -const HELP_DOC_URL = { - zh_Hans: 'https://docs.dify.ai/zh-hans/guides/workflow/structured-outputs', - en_US: 'https://docs.dify.ai/en/guides/workflow/structured-outputs', - ja_JP: 'https://docs.dify.ai/ja-jp/guides/workflow/structured-outputs', -} - -type LocaleKey = keyof typeof HELP_DOC_URL - const JsonSchemaConfig: FC = ({ defaultSchema, onSave, onClose, }) => { const { t } = useTranslation() - const locale = useGetLanguage() as LocaleKey + const docLanguage = useGetDocLanguage() const [currentTab, setCurrentTab] = useState(SchemaView.VisualEditor) const [jsonSchema, setJsonSchema] = useState(defaultSchema || DEFAULT_SCHEMA) const [json, setJson] = useState(JSON.stringify(jsonSchema, null, 2)) @@ -260,7 +252,7 @@ const JsonSchemaConfig: FC = ({ diff --git a/web/app/components/workflow/panel/debug-and-preview/index.tsx b/web/app/components/workflow/panel/debug-and-preview/index.tsx index b63b7af16c..563be25a99 100644 --- a/web/app/components/workflow/panel/debug-and-preview/index.tsx +++ b/web/app/components/workflow/panel/debug-and-preview/index.tsx @@ -39,6 +39,7 @@ const DebugAndPreview = () => { const nodes = useNodes() const startNode = nodes.find(node => node.data.type === BlockEnum.Start) const variables = startNode?.data.variables || [] + const visibleVariables = variables.filter(v => v.hide !== true) const [showConversationVariableModal, setShowConversationVariableModal] = useState(false) @@ -107,7 +108,7 @@ const DebugAndPreview = () => { )} - {variables.length > 0 && ( + {visibleVariables.length > 0 && (
{ const nodes = useNodes() const startNode = nodes.find(node => node.data.type === BlockEnum.Start) const variables = startNode?.data.variables || [] + const visibleVariables = variables.filter(v => v.hide !== true) const handleValueChange = (variable: string, v: string) => { const { @@ -29,13 +30,13 @@ const UserInput = () => { }) } - if (!variables.length) + if (!visibleVariables.length) return null return ( -
+
- {variables.map((variable, index) => ( + {visibleVariables.map((variable, index) => (
0) return parallelNodes - const serialIndex = parseInt(key, 10) + const serialIndex = Number.parseInt(key, 10) if (!isNaN(serialIndex)) { const serialNodes = allExecutions.filter(exec => exec.execution_metadata?.iteration_id === nodeInfo.node_id @@ -49,7 +49,6 @@ const IterationLogTrigger = ({ const iterDurationMap = nodeInfo?.iterDurationMap || iterationNodeMeta?.iteration_duration_map || {} let structuredList: NodeTracing[][] = [] - if (iterationNodeMeta?.iteration_duration_map) { const instanceKeys = Object.keys(iterationNodeMeta.iteration_duration_map) structuredList = instanceKeys diff --git a/web/app/components/workflow/run/loop-log/loop-log-trigger.tsx b/web/app/components/workflow/run/loop-log/loop-log-trigger.tsx index 76619ffdc1..b086312baf 100644 --- a/web/app/components/workflow/run/loop-log/loop-log-trigger.tsx +++ b/web/app/components/workflow/run/loop-log/loop-log-trigger.tsx @@ -29,7 +29,7 @@ const LoopLogTrigger = ({ if (parallelNodes.length > 0) return parallelNodes - const serialIndex = parseInt(key, 10) + const serialIndex = Number.parseInt(key, 10) if (!isNaN(serialIndex)) { const serialNodes = allExecutions.filter(exec => exec.execution_metadata?.loop_id === nodeInfo.node_id @@ -51,16 +51,15 @@ const LoopLogTrigger = ({ const loopVarMap = loopNodeMeta?.loop_variable_map || {} let structuredList: NodeTracing[][] = [] - - if (loopNodeMeta?.loop_duration_map) { + if (nodeInfo.details?.length) { + structuredList = nodeInfo.details + } + else if (loopNodeMeta?.loop_duration_map) { const instanceKeys = Object.keys(loopNodeMeta.loop_duration_map) structuredList = instanceKeys .map(key => filterNodesForInstance(key)) .filter(branchNodes => branchNodes.length > 0) } - else if (nodeInfo.details?.length) { - structuredList = nodeInfo.details - } onShowLoopResultList( structuredList, diff --git a/web/app/components/workflow/style.css b/web/app/components/workflow/style.css index 7ef46dd5bf..9d88ac2644 100644 --- a/web/app/components/workflow/style.css +++ b/web/app/components/workflow/style.css @@ -21,4 +21,6 @@ z-index: -1000 !important; } -#workflow-container .react-flow {} +#workflow-container .react-flow__attribution { + background: none !important; +} diff --git a/web/app/components/workflow/types.ts b/web/app/components/workflow/types.ts index 6ab0915bb0..5218c23084 100644 --- a/web/app/components/workflow/types.ts +++ b/web/app/components/workflow/types.ts @@ -198,6 +198,7 @@ export type InputVar = { hint?: string options?: string[] value_selector?: ValueSelector + hide: boolean } & Partial export type ModelConfig = { diff --git a/web/app/reset-password/set-password/page.tsx b/web/app/reset-password/set-password/page.tsx index dd1c4ef1f4..ee4c114a77 100644 --- a/web/app/reset-password/set-password/page.tsx +++ b/web/app/reset-password/set-password/page.tsx @@ -105,7 +105,7 @@ const ChangePasswordForm = () => {
-
+
{/* Password */}
{t('datasetDocuments.list.batchModal.contentTitle')}{t('datasetDocuments.list.batchModal.contentTitle')}
{t('datasetDocuments.list.batchModal.content')} 1{t('datasetDocuments.list.batchModal.content')} 1
{t('datasetDocuments.list.batchModal.content')} 2