diff --git a/.devcontainer/README.md b/.devcontainer/README.md index df12a3c2d6..2b18630a21 100644 --- a/.devcontainer/README.md +++ b/.devcontainer/README.md @@ -34,4 +34,4 @@ if you see such error message when you open this project in codespaces: ![Alt text](troubleshooting.png) a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine. -The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204) \ No newline at end of file +The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 339ad60ce0..8246544061 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -2,7 +2,7 @@ // README at: https://github.com/devcontainers/templates/tree/main/src/anaconda { "name": "Python 3.12", - "build": { + "build": { "context": "..", "dockerfile": "Dockerfile" }, diff --git a/.devcontainer/noop.txt b/.devcontainer/noop.txt index dde8dc3c10..49de88dbd4 100644 --- a/.devcontainer/noop.txt +++ b/.devcontainer/noop.txt @@ -1,3 +1,3 @@ This file copied into the container along with environment.yml* from the parent -folder. This file is included to prevents the Dockerfile COPY instruction from -failing if no environment.yml is found. \ No newline at end of file +folder. This file is included to prevents the Dockerfile COPY instruction from +failing if no environment.yml is found. diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh index c53c26bb9a..cc8eb552b0 100755 --- a/.devcontainer/post_create_command.sh +++ b/.devcontainer/post_create_command.sh @@ -2,10 +2,10 @@ npm add -g pnpm@10.8.0 cd web && pnpm install -pipx install poetry +pipx install uv -echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc -echo 'alias start-worker="cd /workspaces/dify/api && poetry 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-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-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/.devcontainer/post_start_command.sh b/.devcontainer/post_start_command.sh index 56e87614ba..0c16d74c72 100755 --- a/.devcontainer/post_start_command.sh +++ b/.devcontainer/post_start_command.sh @@ -1,3 +1,3 @@ #!/bin/bash -cd api && poetry install \ No newline at end of file +cd api && uv sync diff --git a/web/.editorconfig b/.editorconfig similarity index 51% rename from web/.editorconfig rename to .editorconfig index e1d3f0b992..374da0b5d2 100644 --- a/web/.editorconfig +++ b/.editorconfig @@ -5,18 +5,35 @@ root = true # Unix-style newlines with a newline ending every file [*] +charset = utf-8 end_of_line = lf insert_final_newline = true +trim_trailing_whitespace = true + +[*.py] +indent_size = 4 +indent_style = space + +[*.{yml,yaml}] +indent_style = space +indent_size = 2 + +[*.toml] +indent_size = 4 +indent_style = space + +# Markdown and MDX are whitespace sensitive languages. +# Do not remove trailing spaces. +[*.{md,mdx}] +trim_trailing_whitespace = false # Matches multiple files with brace expansion notation # Set default charset [*.{js,tsx}] -charset = utf-8 indent_style = space indent_size = 2 - -# Matches the exact files either package.json or .travis.yml -[{package.json,.travis.yml}] +# Matches the exact files package.json +[package.json] indent_style = space indent_size = 2 diff --git a/.gitattributes b/.gitattributes index a10da53408..a32a39f65c 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,5 +1,5 @@ # Ensure that .sh scripts use LF as line separator, even if they are checked out -# to Windows(NTFS) file-system, by a user of Docker for Windows. +# to Windows(NTFS) file-system, by a user of Docker for Windows. # These .sh scripts will be run from the Container after `docker compose up -d`. # If they appear to be CRLF style, Dash from the Container will fail to execute # them. diff --git a/.github/actions/setup-poetry/action.yml b/.github/actions/setup-poetry/action.yml deleted file mode 100644 index a15eb25327..0000000000 --- a/.github/actions/setup-poetry/action.yml +++ /dev/null @@ -1,36 +0,0 @@ -name: Setup Poetry and Python - -inputs: - python-version: - description: Python version to use and the Poetry installed with - required: true - default: '3.11' - poetry-version: - description: Poetry version to set up - required: true - default: '2.0.1' - poetry-lockfile: - description: Path to the Poetry lockfile to restore cache from - required: true - default: '' - -runs: - using: composite - steps: - - name: Set up Python ${{ inputs.python-version }} - uses: actions/setup-python@v5 - with: - python-version: ${{ inputs.python-version }} - cache: pip - - - name: Install Poetry - shell: bash - run: pip install poetry==${{ inputs.poetry-version }} - - - name: Restore Poetry cache - if: ${{ inputs.poetry-lockfile != '' }} - uses: actions/setup-python@v5 - with: - python-version: ${{ inputs.python-version }} - cache: poetry - cache-dependency-path: ${{ inputs.poetry-lockfile }} diff --git a/.github/actions/setup-uv/action.yml b/.github/actions/setup-uv/action.yml new file mode 100644 index 0000000000..a596be63f7 --- /dev/null +++ b/.github/actions/setup-uv/action.yml @@ -0,0 +1,34 @@ +name: Setup UV and Python + +inputs: + python-version: + description: Python version to use and the UV installed with + required: true + default: '3.12' + uv-version: + description: UV version to set up + required: true + default: '0.6.14' + uv-lockfile: + description: Path to the UV lockfile to restore cache from + required: true + default: '' + enable-cache: + required: true + default: true + +runs: + using: composite + steps: + - name: Set up Python ${{ inputs.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ inputs.python-version }} + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: ${{ inputs.uv-version }} + python-version: ${{ inputs.python-version }} + enable-cache: ${{ inputs.enable-cache }} + cache-dependency-glob: ${{ inputs.uv-lockfile }} diff --git a/.github/linters/editorconfig-checker.json b/.github/linters/editorconfig-checker.json new file mode 100644 index 0000000000..ce6e9ae341 --- /dev/null +++ b/.github/linters/editorconfig-checker.json @@ -0,0 +1,22 @@ +{ + "Verbose": false, + "Debug": false, + "IgnoreDefaults": false, + "SpacesAfterTabs": false, + "NoColor": false, + "Exclude": [ + "^web/public/vs/", + "^web/public/pdf.worker.min.mjs$", + "web/app/components/base/icons/src/vender/" + ], + "AllowedContentTypes": [], + "PassedFiles": [], + "Disable": { + "EndOfLine": false, + "Indentation": false, + "IndentSize": true, + "InsertFinalNewline": false, + "TrimTrailingWhitespace": false, + "MaxLineLength": false + } +} diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index dca8e640c7..02583cda06 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -17,6 +17,9 @@ jobs: test: name: API Tests runs-on: ubuntu-latest + defaults: + run: + shell: bash strategy: matrix: python-version: @@ -27,40 +30,44 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - - name: Setup Poetry and Python ${{ matrix.python-version }} - uses: ./.github/actions/setup-poetry + - name: Setup UV and Python + uses: ./.github/actions/setup-uv with: python-version: ${{ matrix.python-version }} - poetry-lockfile: api/poetry.lock + uv-lockfile: api/uv.lock - - name: Check Poetry lockfile - run: | - poetry check -C api --lock - poetry show -C api + - name: Check UV lockfile + run: uv lock --project api --check - name: Install dependencies - run: poetry install -C api --with dev - - - name: Check dependencies in pyproject.toml - run: poetry run -P api bash dev/pytest/pytest_artifacts.sh + run: uv sync --project api --dev - name: Run Unit tests - run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh + run: | + uv run --project api bash dev/pytest/pytest_unit_tests.sh + # Extract coverage percentage and create a summary + TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])') + + # Create a detailed coverage summary + echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY + echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY + echo "\`\`\`" >> $GITHUB_STEP_SUMMARY + uv run --project api coverage report >> $GITHUB_STEP_SUMMARY + echo "\`\`\`" >> $GITHUB_STEP_SUMMARY - name: Run dify config tests - run: poetry run -P api python dev/pytest/pytest_config_tests.py + run: uv run --project api dev/pytest/pytest_config_tests.py - - name: Cache MyPy + - name: MyPy Cache uses: actions/cache@v4 with: path: api/.mypy_cache - key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/poetry.lock') }} + key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }} - - name: Run mypy - run: dev/run-mypy + - name: Run MyPy Checks + run: dev/mypy-check - name: Set up dotenvs run: | @@ -80,4 +87,4 @@ jobs: ssrf_proxy - name: Run Workflow - run: poetry run -P api bash dev/pytest/pytest_workflow.sh + run: uv run --project api bash dev/pytest/pytest_workflow.sh diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml index 69bff839a6..5181546b4a 100644 --- a/.github/workflows/db-migration-test.yml +++ b/.github/workflows/db-migration-test.yml @@ -24,13 +24,13 @@ jobs: fetch-depth: 0 persist-credentials: false - - name: Setup Poetry and Python - uses: ./.github/actions/setup-poetry + - name: Setup UV and Python + uses: ./.github/actions/setup-uv with: - poetry-lockfile: api/poetry.lock + uv-lockfile: api/uv.lock - name: Install dependencies - run: poetry install -C api + run: uv sync --project api - name: Prepare middleware env run: | @@ -54,6 +54,4 @@ jobs: - name: Run DB Migration env: DEBUG: true - run: | - cd api - poetry run python -m flask upgrade-db + run: uv run --directory api flask upgrade-db diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml index cf7e77b4b8..cadc1b5507 100644 --- a/.github/workflows/docker-build.yml +++ b/.github/workflows/docker-build.yml @@ -42,6 +42,7 @@ jobs: with: push: false context: "{{defaultContext}}:${{ matrix.context }}" + file: "${{ matrix.file }}" platforms: ${{ matrix.platform }} cache-from: type=gha cache-to: type=gha,mode=max diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 34df407fbd..30c0ff000d 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -9,6 +9,12 @@ concurrency: group: style-${{ github.head_ref || github.run_id }} cancel-in-progress: true +permissions: + checks: write + statuses: write + contents: read + + jobs: python-style: name: Python Style @@ -18,7 +24,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -29,24 +34,27 @@ jobs: api/** .github/workflows/style.yml - - name: Setup Poetry and Python + - name: Setup UV and Python if: steps.changed-files.outputs.any_changed == 'true' - uses: ./.github/actions/setup-poetry + uses: ./.github/actions/setup-uv + with: + uv-lockfile: api/uv.lock + enable-cache: false - name: Install dependencies if: steps.changed-files.outputs.any_changed == 'true' - run: poetry install -C api --only lint + run: uv sync --project api --dev - name: Ruff check if: steps.changed-files.outputs.any_changed == 'true' run: | - poetry run -C api ruff --version - poetry run -C api ruff check ./ --diff - poetry run -C api ruff format --check ./ --diff + uv run --directory api ruff --version + uv run --directory api ruff check --diff ./ + uv run --directory api ruff format --check --diff ./ - name: Dotenv check if: steps.changed-files.outputs.any_changed == 'true' - run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example + run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example - name: Lint hints if: failure() @@ -63,7 +71,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -102,7 +109,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -133,7 +139,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -164,3 +169,14 @@ jobs: VALIDATE_DOCKERFILE_HADOLINT: true VALIDATE_XML: true VALIDATE_YAML: true + + - name: EditorConfig checks + uses: super-linter/super-linter/slim@v7 + env: + DEFAULT_BRANCH: main + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + IGNORE_GENERATED_FILES: true + IGNORE_GITIGNORED_FILES: true + # EditorConfig validation + VALIDATE_EDITORCONFIG: true + EDITORCONFIG_FILE_NAME: editorconfig-checker.json diff --git a/.github/workflows/tool-test-sdks.yaml b/.github/workflows/tool-test-sdks.yaml index a6e48d1359..b1ccd7417a 100644 --- a/.github/workflows/tool-test-sdks.yaml +++ b/.github/workflows/tool-test-sdks.yaml @@ -27,7 +27,6 @@ jobs: steps: - uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Use Node.js ${{ matrix.node-version }} diff --git a/.github/workflows/vdb-tests.yml b/.github/workflows/vdb-tests.yml index 5e3f7a557a..c784817e72 100644 --- a/.github/workflows/vdb-tests.yml +++ b/.github/workflows/vdb-tests.yml @@ -8,7 +8,7 @@ on: - api/core/rag/datasource/** - docker/** - .github/workflows/vdb-tests.yml - - api/poetry.lock + - api/uv.lock - api/pyproject.toml concurrency: @@ -29,22 +29,19 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - - name: Setup Poetry and Python ${{ matrix.python-version }} - uses: ./.github/actions/setup-poetry + - name: Setup UV and Python + uses: ./.github/actions/setup-uv with: python-version: ${{ matrix.python-version }} - poetry-lockfile: api/poetry.lock + uv-lockfile: api/uv.lock - - name: Check Poetry lockfile - run: | - poetry check -C api --lock - poetry show -C api + - name: Check UV lockfile + run: uv lock --project api --check - name: Install dependencies - run: poetry install -C api --with dev + run: uv sync --project api --dev - name: Set up dotenvs run: | @@ -80,7 +77,7 @@ jobs: elasticsearch - name: Check TiDB Ready - run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py + run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py - name: Test Vector Stores - run: poetry run -P api bash dev/pytest/pytest_vdb.sh + run: uv run --project api bash dev/pytest/pytest_vdb.sh diff --git a/.github/workflows/web-tests.yml b/.github/workflows/web-tests.yml index 85e8b99473..37cfdc5c1e 100644 --- a/.github/workflows/web-tests.yml +++ b/.github/workflows/web-tests.yml @@ -23,7 +23,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files diff --git a/.gitignore b/.gitignore index 819a249581..8818ab6f65 100644 --- a/.gitignore +++ b/.gitignore @@ -46,6 +46,7 @@ htmlcov/ .cache nosetests.xml coverage.xml +coverage.json *.cover *.py,cover .hypothesis/ diff --git a/CONTRIBUTING_CN.md b/CONTRIBUTING_CN.md index 0478d2e1fa..69ae7071bb 100644 --- a/CONTRIBUTING_CN.md +++ b/CONTRIBUTING_CN.md @@ -6,7 +6,7 @@ 本指南和 Dify 一样在不断完善中。如果有任何滞后于项目实际情况的地方，恳请谅解，我们也欢迎任何改进建议。 -关于许可证，请花一分钟阅读我们简短的[许可和贡献者协议](./LICENSE)。社区同时也遵循[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。 +关于许可证，请花一分钟阅读我们简短的[许可和贡献者协议](./LICENSE)。同时也请遵循社区[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。 ## 开始之前 diff --git a/CONTRIBUTING_ES.md b/CONTRIBUTING_ES.md index 261aa0fda1..98cbb5b457 100644 --- a/CONTRIBUTING_ES.md +++ b/CONTRIBUTING_ES.md @@ -90,4 +90,4 @@ Recomendamos revisar este documento cuidadosamente antes de proceder con la conf No dudes en contactarnos si encuentras algún problema durante el proceso de configuración. ## Obteniendo Ayuda -Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida. \ No newline at end of file +Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida. diff --git a/CONTRIBUTING_FR.md b/CONTRIBUTING_FR.md index c3418f86cc..fc8410dfd6 100644 --- a/CONTRIBUTING_FR.md +++ b/CONTRIBUTING_FR.md @@ -90,4 +90,4 @@ Nous recommandons de revoir attentivement ce document avant de procéder à la c N'hésitez pas à nous contacter si vous rencontrez des problèmes pendant le processus de configuration. ## Obtenir de l'aide -Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide. \ No newline at end of file +Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide. diff --git a/CONTRIBUTING_KR.md b/CONTRIBUTING_KR.md index fcf44d495a..78d3f38c47 100644 --- a/CONTRIBUTING_KR.md +++ b/CONTRIBUTING_KR.md @@ -90,4 +90,4 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지 설정 과정에서 문제가 발생하면 언제든지 연락해 주세요. ## 도움 받기 -기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요. \ No newline at end of file +기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요. diff --git a/CONTRIBUTING_PT.md b/CONTRIBUTING_PT.md index bba76c17ee..7347fd7f9c 100644 --- a/CONTRIBUTING_PT.md +++ b/CONTRIBUTING_PT.md @@ -90,4 +90,4 @@ Recomendamos revisar este documento cuidadosamente antes de prosseguir com a con Sinta-se à vontade para entrar em contato se encontrar quaisquer problemas durante o processo de configuração. ## Obtendo Ajuda -Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida. \ No newline at end of file +Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida. diff --git a/CONTRIBUTING_TR.md b/CONTRIBUTING_TR.md index 4e216d22a4..681f05689b 100644 --- a/CONTRIBUTING_TR.md +++ b/CONTRIBUTING_TR.md @@ -90,4 +90,4 @@ Kuruluma geçmeden önce bu belgeyi dikkatlice incelemenizi öneririz, çünkü Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin. ## Yardım Almak -Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın. \ No newline at end of file +Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın. diff --git a/README.md b/README.md index 87ebc9bafc..efb37d6083 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Dify Cloud · Self-hosting · Documentation · - Enterprise inquiry + Dify edition overview

@@ -54,7 +54,7 @@ README in বাংলা

-Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. +Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production. ## Quick start @@ -188,7 +188,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly - **Dify for enterprise / organizations
** We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs.
- > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding. + > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding. ## Staying ahead @@ -233,7 +233,7 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/) For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). At the same time, please consider supporting Dify by sharing it on social media and at events and conferences. -> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c). +> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c). ## Community & contact diff --git a/README_AR.md b/README_AR.md index e58f59da5d..4f93802fda 100644 --- a/README_AR.md +++ b/README_AR.md @@ -4,7 +4,7 @@ Dify Cloud · الاستضافة الذاتية · التوثيق · - استفسار الشركات (للإنجليزية فقط) + نظرة عامة على منتجات Dify

diff --git a/README_BN.md b/README_BN.md index 3ebc81af5d..7599fae9ff 100644 --- a/README_BN.md +++ b/README_BN.md @@ -8,7 +8,7 @@ ডিফাই ক্লাউড · সেল্ফ-হোস্টিং · ডকুমেন্টেশন · - ব্যাবসায়িক অনুসন্ধান + Dify পণ্যের রূপভেদ

diff --git a/README_CN.md b/README_CN.md index 6d3c601100..973629f459 100644 --- a/README_CN.md +++ b/README_CN.md @@ -4,7 +4,7 @@ Dify 云服务 · 自托管 · 文档 · - （需用英文）常见问题解答 / 联系团队 + Dify 产品形态总览

diff --git a/README_DE.md b/README_DE.md index b3b9bf3221..738c0e3b67 100644 --- a/README_DE.md +++ b/README_DE.md @@ -8,7 +8,7 @@ Dify Cloud · Selbstgehostetes · Dokumentation · - Anfrage an Unternehmen + Überblick über die Dify-Produkte

diff --git a/README_ES.md b/README_ES.md index d14afdd2eb..212268b73d 100644 --- a/README_ES.md +++ b/README_ES.md @@ -4,7 +4,7 @@ Dify Cloud · Auto-alojamiento · Documentación · - Consultas empresariales (en inglés) + Resumen de las ediciones de Dify

diff --git a/README_FR.md b/README_FR.md index 031196303e..89eea7d058 100644 --- a/README_FR.md +++ b/README_FR.md @@ -4,7 +4,7 @@ Dify Cloud · Auto-hébergement · Documentation · - Demande d’entreprise (en anglais seulement) + Présentation des différentes offres Dify

diff --git a/README_JA.md b/README_JA.md index 3b7a6f50db..adca219753 100644 --- a/README_JA.md +++ b/README_JA.md @@ -4,7 +4,7 @@ Dify Cloud · セルフホスティング · ドキュメント · - 企業のお問い合わせ（英語のみ） + Difyの各種エディションについて

diff --git a/README_KL.md b/README_KL.md index ccadb77274..17e6c9d509 100644 --- a/README_KL.md +++ b/README_KL.md @@ -4,7 +4,7 @@ Dify Cloud · Self-hosting · Documentation · - Commercial enquiries + Dify product editions

diff --git a/README_KR.md b/README_KR.md index c1a98f8b68..d44723f9b6 100644 --- a/README_KR.md +++ b/README_KR.md @@ -4,7 +4,7 @@ Dify 클라우드 · 셀프-호스팅 · 문서 · - 기업 문의 (영어만 가능) + Dify 제품 에디션 안내

diff --git a/README_PT.md b/README_PT.md index 5b3c782645..9dc2207279 100644 --- a/README_PT.md +++ b/README_PT.md @@ -8,7 +8,7 @@ Dify Cloud · Auto-hospedagem · Documentação · - Consultas empresariais + Visão geral das edições do Dify

diff --git a/README_SI.md b/README_SI.md index 7c0867c776..9a38b558b4 100644 --- a/README_SI.md +++ b/README_SI.md @@ -1,259 +1,259 @@ -![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) - -

- 📌 Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast -

- -

- Dify Cloud · - Samostojno gostovanje · - Dokumentacija · - Povpraševanje za podjetja -

- -

- - Static Badge - - Static Badge - - chat on Discord - - follow on X(Twitter) - - follow on LinkedIn - - Docker Pulls - - Commits last month - - Issues closed - - Discussion posts -

- -

- README in English - 简体中文版自述文件 - 日本語のREADME - README en Español - README en Français - README tlhIngan Hol - README in Korean - README بالعربية - Türkçe README - README Tiếng Việt - README Slovenščina - README in বাংলা -

- - -Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. - -## Hitri začetek -> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve: -> ->- CPU >= 2 Core ->- RAM >= 4 GiB - -
- -Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku: - -```bash -cd dify -cd docker -cp .env.example .env -docker compose up -d -``` - -Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije. - -#### Iskanje pomoči -Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact). - -> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) - -## Ključne značilnosti -**1. Potek dela**: - Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več. - - - https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa - - - -**2. Celovita podpora za modele**: - Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers). - -![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3) - - -**3. Prompt IDE**: - intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. - -**4. RAG Pipeline**: - E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov. - -**5. Agent capabilities**: - definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha. - -**6. LLMOps**: - Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb. - -**7. Backend-as-a-Service**: - AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko. - -## Primerjava Funkcij - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FunkcijaDify.AILangChainFlowiseOpenAI Assistants API
Programski pristopAPI + usmerjeno v aplikacijePython kodaUsmerjeno v aplikacijeUsmerjeno v API
Podprti LLM-jiBogata izbiraBogata izbiraBogata izbiraSamo OpenAI
RAG pogon✅✅✅✅
Agent✅✅❌✅
Potek dela✅❌✅❌
Spremljanje✅✅❌❌
Funkcija za podjetja (SSO/nadzor dostopa)✅❌❌❌
Lokalna namestitev✅✅✅❌
- -## Uporaba Dify - -- **Cloud
** -Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika. - -- **Self-hosting Dify Community Edition
** -Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) . - - -- **Dify za podjetja/organizacije
** -Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja.
- > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri. - - -## Staying ahead - -Star Dify on GitHub and be instantly notified of new releases. - -![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4) - - -## Napredne nastavitve - -Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj . - -Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes. - -- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify) -- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm) -- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes) -- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s) - -#### Uporaba Terraform za uvajanje - -namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/) - -##### Azure Global -- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform) - -##### Google Cloud -- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform) - -#### Uporaba AWS CDK za uvajanje - -Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/) - -##### AWS -- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) - -## Prispevam - -Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. - - - -> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord . - -## Skupnost in stik - -* [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. - -**Contributors** - - - - - -## Star history - -[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) - - -## Varnostno razkritje - -Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor. - -## Licenca - -To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami. +![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) + +

+ 📌 Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast +

+ +

+ Dify Cloud · + Samostojno gostovanje · + Dokumentacija · + Pregled ponudb izdelkov Dify +

+ +

+ + Static Badge + + Static Badge + + chat on Discord + + follow on X(Twitter) + + follow on LinkedIn + + Docker Pulls + + Commits last month + + Issues closed + + Discussion posts +

+ +

+ README in English + 简体中文版自述文件 + 日本語のREADME + README en Español + README en Français + README tlhIngan Hol + README in Korean + README بالعربية + Türkçe README + README Tiếng Việt + README Slovenščina + README in বাংলা +

+ + +Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. + +## Hitri začetek +> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve: +> +>- CPU >= 2 Core +>- RAM >= 4 GiB + +
+ +Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku: + +```bash +cd dify +cd docker +cp .env.example .env +docker compose up -d +``` + +Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije. + +#### Iskanje pomoči +Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact). + +> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) + +## Ključne značilnosti +**1. Potek dela**: + Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več. + + + https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa + + + +**2. Celovita podpora za modele**: + Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers). + +![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3) + + +**3. Prompt IDE**: + intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. + +**4. RAG Pipeline**: + E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov. + +**5. Agent capabilities**: + definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha. + +**6. LLMOps**: + Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb. + +**7. Backend-as-a-Service**: + AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko. + +## Primerjava Funkcij + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
FunkcijaDify.AILangChainFlowiseOpenAI Assistants API
Programski pristopAPI + usmerjeno v aplikacijePython kodaUsmerjeno v aplikacijeUsmerjeno v API
Podprti LLM-jiBogata izbiraBogata izbiraBogata izbiraSamo OpenAI
RAG pogon✅✅✅✅
Agent✅✅❌✅
Potek dela✅❌✅❌
Spremljanje✅✅❌❌
Funkcija za podjetja (SSO/nadzor dostopa)✅❌❌❌
Lokalna namestitev✅✅✅❌
+ +## Uporaba Dify + +- **Cloud
** +Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika. + +- **Self-hosting Dify Community Edition
** +Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) . + + +- **Dify za podjetja/organizacije
** +Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja.
+ > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri. + + +## Staying ahead + +Star Dify on GitHub and be instantly notified of new releases. + +![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4) + + +## Napredne nastavitve + +Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj . + +Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes. + +- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify) +- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm) +- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes) +- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s) + +#### Uporaba Terraform za uvajanje + +namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/) + +##### Azure Global +- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform) + +##### Google Cloud +- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform) + +#### Uporaba AWS CDK za uvajanje + +Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/) + +##### AWS +- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws) + +## Prispevam + +Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. + + + +> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord . + +## Skupnost in stik + +* [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. + +**Contributors** + + + + + +## Star history + +[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) + + +## Varnostno razkritje + +Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor. + +## Licenca + +To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami. diff --git a/README_TR.md b/README_TR.md index f8890b00ef..ab2853a019 100644 --- a/README_TR.md +++ b/README_TR.md @@ -4,7 +4,7 @@ Dify Bulut · Kendi Sunucunuzda Barındırma · Dokümantasyon · - Yalnızca İngilizce: Kurumsal Sorgulama + Dify ürün seçeneklerine genel bakış

diff --git a/README_TW.md b/README_TW.md index 260f1e80ac..8263a22b64 100644 --- a/README_TW.md +++ b/README_TW.md @@ -8,7 +8,7 @@ Dify 雲端服務 · 自行託管 · 說明文件 · - 企業諮詢 + 產品方案概覽

diff --git a/README_VI.md b/README_VI.md index 15d2d5ae80..852ed7aaa0 100644 --- a/README_VI.md +++ b/README_VI.md @@ -4,7 +4,7 @@ Dify Cloud · Tự triển khai · Tài liệu · - Yêu cầu doanh nghiệp + Tổng quan các lựa chọn sản phẩm Dify

diff --git a/api/.dockerignore b/api/.dockerignore index 447edcda08..a0ce59d221 100644 --- a/api/.dockerignore +++ b/api/.dockerignore @@ -16,4 +16,4 @@ logs .ruff_cache # venv -.venv \ No newline at end of file +.venv diff --git a/api/.env.example b/api/.env.example index 3bbea44f2f..2cc6410cdd 100644 --- a/api/.env.example +++ b/api/.env.example @@ -165,6 +165,7 @@ MILVUS_URI=http://127.0.0.1:19530 MILVUS_TOKEN= MILVUS_USER=root MILVUS_PASSWORD=Milvus +MILVUS_ANALYZER_PARAMS= # MyScale configuration MYSCALE_HOST=127.0.0.1 @@ -296,6 +297,7 @@ LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com: LINDORM_USERNAME=admin LINDORM_PASSWORD=admin USING_UGC_INDEX=False +LINDORM_QUERY_TIMEOUT=1 # OceanBase Vector configuration OCEANBASE_VECTOR_HOST=127.0.0.1 @@ -423,6 +425,12 @@ WORKFLOW_CALL_MAX_DEPTH=5 WORKFLOW_PARALLEL_DEPTH_LIMIT=3 MAX_VARIABLE_SIZE=204800 +# Workflow storage configuration +# Options: rdbms, hybrid +# rdbms: Use only the relational database (default) +# hybrid: Save new data to object storage, read from both object storage and RDBMS +WORKFLOW_NODE_EXECUTION_STORAGE=rdbms + # App configuration APP_MAX_EXECUTION_TIME=1200 APP_MAX_ACTIVE_REQUESTS=0 @@ -463,3 +471,19 @@ CREATE_TIDB_SERVICE_JOB_ENABLED=false MAX_SUBMIT_COUNT=100 # Lockout duration in seconds LOGIN_LOCKOUT_DURATION=86400 + +# Enable OpenTelemetry +ENABLE_OTEL=false +OTLP_BASE_ENDPOINT=http://localhost:4318 +OTLP_API_KEY= +OTEL_EXPORTER_TYPE=otlp +OTEL_SAMPLING_RATE=0.1 +OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000 +OTEL_MAX_QUEUE_SIZE=2048 +OTEL_MAX_EXPORT_BATCH_SIZE=512 +OTEL_METRIC_EXPORT_INTERVAL=60000 +OTEL_BATCH_EXPORT_TIMEOUT=10000 +OTEL_METRIC_EXPORT_TIMEOUT=30000 + +# Prevent Clickjacking +ALLOW_EMBED=false diff --git a/api/Dockerfile b/api/Dockerfile index fbfbd47741..cff696ff56 100644 --- a/api/Dockerfile +++ b/api/Dockerfile @@ -3,20 +3,11 @@ FROM python:3.12-slim-bookworm AS base WORKDIR /app/api -# Install Poetry -ENV POETRY_VERSION=2.0.1 +# Install uv +ENV UV_VERSION=0.6.14 -# if you located in China, you can use aliyun mirror to speed up -# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/ - -RUN pip install --no-cache-dir poetry==${POETRY_VERSION} +RUN pip install --no-cache-dir uv==${UV_VERSION} -# Configure Poetry -ENV POETRY_CACHE_DIR=/tmp/poetry_cache -ENV POETRY_NO_INTERACTION=1 -ENV POETRY_VIRTUALENVS_IN_PROJECT=true -ENV POETRY_VIRTUALENVS_CREATE=true -ENV POETRY_REQUESTS_TIMEOUT=15 FROM base AS packages @@ -27,8 +18,8 @@ RUN apt-get update \ && apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev # Install Python dependencies -COPY pyproject.toml poetry.lock ./ -RUN poetry install --sync --no-cache --no-root +COPY pyproject.toml uv.lock ./ +RUN uv sync --locked # production stage FROM base AS production diff --git a/api/README.md b/api/README.md index c3abc25be1..c542f11b16 100644 --- a/api/README.md +++ b/api/README.md @@ -3,7 +3,10 @@ ## Usage > [!IMPORTANT] -> In the v0.6.12 release, we deprecated `pip` as the package management tool for Dify API Backend service and replaced it with `poetry`. +> +> In the v1.3.0 release, `poetry` has been replaced with +> [`uv`](https://docs.astral.sh/uv/) as the package manager +> for Dify API backend service. 1. Start the docker-compose stack @@ -37,19 +40,19 @@ 4. Create environment. - Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand] + Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies. + First, you need to add the uv package manager, if you don't have it already. ```bash - poetry self add poetry-plugin-shell + pip install uv + # Or on macOS + brew install uv ``` - - Then, You can execute `poetry shell` to activate the environment. 5. Install dependencies ```bash - poetry env use 3.12 - poetry install + uv sync --dev ``` 6. Run migrate @@ -57,21 +60,21 @@ Before the first launch, migrate the database to the latest version. ```bash - poetry run python -m flask db upgrade + uv run flask db upgrade ``` 7. Start backend ```bash - poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug + uv run flask run --host 0.0.0.0 --port=5001 --debug ``` 8. Start Dify [web](../web) service. -9. Setup your application by visiting `http://localhost:3000`... +9. Setup your application by visiting `http://localhost:3000`. 10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service. ```bash - poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion + uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion ``` ## Testing @@ -79,11 +82,11 @@ 1. Install dependencies for both the backend and the test environment ```bash - poetry install -C api --with dev + uv sync --dev ``` 2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml` ```bash - poetry run -P api bash dev/pytest/pytest_all_tests.sh + uv run -P api bash dev/pytest/pytest_all_tests.sh ``` diff --git a/api/app_factory.py b/api/app_factory.py index 52ae05583a..586f2ded9e 100644 --- a/api/app_factory.py +++ b/api/app_factory.py @@ -51,8 +51,10 @@ def initialize_extensions(app: DifyApp): ext_login, ext_mail, ext_migrate, + ext_otel, ext_proxy_fix, ext_redis, + ext_repositories, ext_sentry, ext_set_secretkey, ext_storage, @@ -73,6 +75,7 @@ def initialize_extensions(app: DifyApp): ext_migrate, ext_redis, ext_storage, + ext_repositories, ext_celery, ext_login, ext_mail, @@ -81,6 +84,7 @@ def initialize_extensions(app: DifyApp): ext_proxy_fix, ext_blueprints, ext_commands, + ext_otel, ] for ext in extensions: short_name = ext.__name__.split(".")[-1] diff --git a/api/commands.py b/api/commands.py index e70d6e0b49..07bc6cd927 100644 --- a/api/commands.py +++ b/api/commands.py @@ -17,6 +17,7 @@ from core.rag.models.document import Document from events.app_event import app_was_created from extensions.ext_database import db from extensions.ext_redis import redis_client +from extensions.ext_storage import storage from libs.helper import email as email_validate from libs.password import hash_password, password_pattern, valid_password from libs.rsa import generate_key_pair @@ -271,6 +272,7 @@ def migrate_knowledge_vector_database(): upper_collection_vector_types = { VectorType.MILVUS, VectorType.PGVECTOR, + VectorType.VASTBASE, VectorType.RELYT, VectorType.WEAVIATE, VectorType.ORACLE, @@ -442,13 +444,13 @@ def convert_to_agent_apps(): WHERE a.mode = 'chat' AND am.agent_mode is not null AND ( - am.agent_mode like '%"strategy": "function_call"%' + am.agent_mode like '%"strategy": "function_call"%' OR am.agent_mode like '%"strategy": "react"%' - ) + ) AND ( - am.agent_mode like '{"enabled": true%' + am.agent_mode like '{"enabled": true%' OR am.agent_mode like '{"max_iteration": %' - ) ORDER BY a.created_at DESC LIMIT 1000 + ) ORDER BY a.created_at DESC LIMIT 1000 """ with db.engine.begin() as conn: @@ -814,3 +816,331 @@ def clear_free_plan_tenant_expired_logs(days: int, batch: int, tenant_ids: list[ ClearFreePlanTenantExpiredLogs.process(days, batch, tenant_ids) click.echo(click.style("Clear free plan tenant expired logs completed.", fg="green")) + + +@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.") +@click.command("clear-orphaned-file-records", help="Clear orphaned file records.") +def clear_orphaned_file_records(force: bool): + """ + Clear orphaned file records in the database. + """ + + # define tables and columns to process + files_tables = [ + {"table": "upload_files", "id_column": "id", "key_column": "key"}, + {"table": "tool_files", "id_column": "id", "key_column": "file_key"}, + ] + ids_tables = [ + {"type": "uuid", "table": "message_files", "column": "upload_file_id"}, + {"type": "text", "table": "documents", "column": "data_source_info"}, + {"type": "text", "table": "document_segments", "column": "content"}, + {"type": "text", "table": "messages", "column": "answer"}, + {"type": "text", "table": "workflow_node_executions", "column": "inputs"}, + {"type": "text", "table": "workflow_node_executions", "column": "process_data"}, + {"type": "text", "table": "workflow_node_executions", "column": "outputs"}, + {"type": "text", "table": "conversations", "column": "introduction"}, + {"type": "text", "table": "conversations", "column": "system_instruction"}, + {"type": "json", "table": "messages", "column": "inputs"}, + {"type": "json", "table": "messages", "column": "message"}, + ] + + # notify user and ask for confirmation + click.echo( + click.style( + "This command will first find and delete orphaned file records from the message_files table,", fg="yellow" + ) + ) + click.echo( + click.style( + "and then it will find and delete orphaned file records in the following tables:", + fg="yellow", + ) + ) + for files_table in files_tables: + click.echo(click.style(f"- {files_table['table']}", fg="yellow")) + click.echo( + click.style("The following tables and columns will be scanned to find orphaned file records:", fg="yellow") + ) + for ids_table in ids_tables: + click.echo(click.style(f"- {ids_table['table']} ({ids_table['column']})", fg="yellow")) + click.echo("") + + click.echo(click.style("!!! USE WITH CAUTION !!!", fg="red")) + click.echo( + click.style( + ( + "Since not all patterns have been fully tested, " + "please note that this command may delete unintended file records." + ), + fg="yellow", + ) + ) + click.echo( + click.style("This cannot be undone. Please make sure to back up your database before proceeding.", fg="yellow") + ) + click.echo( + click.style( + ( + "It is also recommended to run this during the maintenance window, " + "as this may cause high load on your instance." + ), + fg="yellow", + ) + ) + if not force: + click.confirm("Do you want to proceed?", abort=True) + + # start the cleanup process + click.echo(click.style("Starting orphaned file records cleanup.", fg="white")) + + # clean up the orphaned records in the message_files table where message_id doesn't exist in messages table + try: + click.echo( + click.style("- Listing message_files records where message_id doesn't exist in messages table", fg="white") + ) + query = ( + "SELECT mf.id, mf.message_id " + "FROM message_files mf LEFT JOIN messages m ON mf.message_id = m.id " + "WHERE m.id IS NULL" + ) + orphaned_message_files = [] + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + orphaned_message_files.append({"id": str(i[0]), "message_id": str(i[1])}) + + if orphaned_message_files: + click.echo(click.style(f"Found {len(orphaned_message_files)} orphaned message_files records:", fg="white")) + for record in orphaned_message_files: + click.echo(click.style(f" - id: {record['id']}, message_id: {record['message_id']}", fg="black")) + + if not force: + click.confirm( + ( + f"Do you want to proceed " + f"to delete all {len(orphaned_message_files)} orphaned message_files records?" + ), + abort=True, + ) + + click.echo(click.style("- Deleting orphaned message_files records", fg="white")) + query = "DELETE FROM message_files WHERE id IN :ids" + with db.engine.begin() as conn: + conn.execute(db.text(query), {"ids": tuple([record["id"] for record in orphaned_message_files])}) + click.echo( + click.style(f"Removed {len(orphaned_message_files)} orphaned message_files records.", fg="green") + ) + else: + click.echo(click.style("No orphaned message_files records found. There is nothing to delete.", fg="green")) + except Exception as e: + click.echo(click.style(f"Error deleting orphaned message_files records: {str(e)}", fg="red")) + + # clean up the orphaned records in the rest of the *_files tables + try: + # fetch file id and keys from each table + all_files_in_tables = [] + for files_table in files_tables: + click.echo(click.style(f"- Listing file records in table {files_table['table']}", fg="white")) + query = f"SELECT {files_table['id_column']}, {files_table['key_column']} FROM {files_table['table']}" + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + all_files_in_tables.append({"table": files_table["table"], "id": str(i[0]), "key": i[1]}) + click.echo(click.style(f"Found {len(all_files_in_tables)} files in tables.", fg="white")) + + # fetch referred table and columns + guid_regexp = "[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}" + all_ids_in_tables = [] + for ids_table in ids_tables: + query = "" + if ids_table["type"] == "uuid": + click.echo( + click.style( + f"- Listing file ids in column {ids_table['column']} in table {ids_table['table']}", fg="white" + ) + ) + query = ( + f"SELECT {ids_table['column']} FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL" + ) + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + all_ids_in_tables.append({"table": ids_table["table"], "id": str(i[0])}) + elif ids_table["type"] == "text": + click.echo( + click.style( + f"- Listing file-id-like strings in column {ids_table['column']} in table {ids_table['table']}", + fg="white", + ) + ) + query = ( + f"SELECT regexp_matches({ids_table['column']}, '{guid_regexp}', 'g') AS extracted_id " + f"FROM {ids_table['table']}" + ) + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + for j in i[0]: + all_ids_in_tables.append({"table": ids_table["table"], "id": j}) + elif ids_table["type"] == "json": + click.echo( + click.style( + ( + f"- Listing file-id-like JSON string in column {ids_table['column']} " + f"in table {ids_table['table']}" + ), + fg="white", + ) + ) + query = ( + f"SELECT regexp_matches({ids_table['column']}::text, '{guid_regexp}', 'g') AS extracted_id " + f"FROM {ids_table['table']}" + ) + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + for j in i[0]: + all_ids_in_tables.append({"table": ids_table["table"], "id": j}) + click.echo(click.style(f"Found {len(all_ids_in_tables)} file ids in tables.", fg="white")) + + except Exception as e: + click.echo(click.style(f"Error fetching keys: {str(e)}", fg="red")) + return + + # find orphaned files + all_files = [file["id"] for file in all_files_in_tables] + all_ids = [file["id"] for file in all_ids_in_tables] + orphaned_files = list(set(all_files) - set(all_ids)) + if not orphaned_files: + click.echo(click.style("No orphaned file records found. There is nothing to delete.", fg="green")) + return + click.echo(click.style(f"Found {len(orphaned_files)} orphaned file records.", fg="white")) + for file in orphaned_files: + click.echo(click.style(f"- orphaned file id: {file}", fg="black")) + if not force: + click.confirm(f"Do you want to proceed to delete all {len(orphaned_files)} orphaned file records?", abort=True) + + # delete orphaned records for each file + try: + for files_table in files_tables: + click.echo(click.style(f"- Deleting orphaned file records in table {files_table['table']}", fg="white")) + query = f"DELETE FROM {files_table['table']} WHERE {files_table['id_column']} IN :ids" + with db.engine.begin() as conn: + conn.execute(db.text(query), {"ids": tuple(orphaned_files)}) + except Exception as e: + click.echo(click.style(f"Error deleting orphaned file records: {str(e)}", fg="red")) + return + click.echo(click.style(f"Removed {len(orphaned_files)} orphaned file records.", fg="green")) + + +@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.") +@click.command("remove-orphaned-files-on-storage", help="Remove orphaned files on the storage.") +def remove_orphaned_files_on_storage(force: bool): + """ + Remove orphaned files on the storage. + """ + + # define tables and columns to process + files_tables = [ + {"table": "upload_files", "key_column": "key"}, + {"table": "tool_files", "key_column": "file_key"}, + ] + storage_paths = ["image_files", "tools", "upload_files"] + + # notify user and ask for confirmation + click.echo(click.style("This command will find and remove orphaned files on the storage,", fg="yellow")) + click.echo( + click.style("by comparing the files on the storage with the records in the following tables:", fg="yellow") + ) + for files_table in files_tables: + click.echo(click.style(f"- {files_table['table']}", fg="yellow")) + click.echo(click.style("The following paths on the storage will be scanned to find orphaned files:", fg="yellow")) + for storage_path in storage_paths: + click.echo(click.style(f"- {storage_path}", fg="yellow")) + click.echo("") + + click.echo(click.style("!!! USE WITH CAUTION !!!", fg="red")) + click.echo( + click.style( + "Currently, this command will work only for opendal based storage (STORAGE_TYPE=opendal).", fg="yellow" + ) + ) + click.echo( + click.style( + "Since not all patterns have been fully tested, please note that this command may delete unintended files.", + fg="yellow", + ) + ) + click.echo( + click.style("This cannot be undone. Please make sure to back up your storage before proceeding.", fg="yellow") + ) + click.echo( + click.style( + ( + "It is also recommended to run this during the maintenance window, " + "as this may cause high load on your instance." + ), + fg="yellow", + ) + ) + if not force: + click.confirm("Do you want to proceed?", abort=True) + + # start the cleanup process + click.echo(click.style("Starting orphaned files cleanup.", fg="white")) + + # fetch file id and keys from each table + all_files_in_tables = [] + try: + for files_table in files_tables: + click.echo(click.style(f"- Listing files from table {files_table['table']}", fg="white")) + query = f"SELECT {files_table['key_column']} FROM {files_table['table']}" + with db.engine.begin() as conn: + rs = conn.execute(db.text(query)) + for i in rs: + all_files_in_tables.append(str(i[0])) + click.echo(click.style(f"Found {len(all_files_in_tables)} files in tables.", fg="white")) + except Exception as e: + click.echo(click.style(f"Error fetching keys: {str(e)}", fg="red")) + + all_files_on_storage = [] + for storage_path in storage_paths: + try: + click.echo(click.style(f"- Scanning files on storage path {storage_path}", fg="white")) + files = storage.scan(path=storage_path, files=True, directories=False) + all_files_on_storage.extend(files) + except FileNotFoundError as e: + click.echo(click.style(f" -> Skipping path {storage_path} as it does not exist.", fg="yellow")) + continue + except Exception as e: + click.echo(click.style(f" -> Error scanning files on storage path {storage_path}: {str(e)}", fg="red")) + continue + click.echo(click.style(f"Found {len(all_files_on_storage)} files on storage.", fg="white")) + + # find orphaned files + orphaned_files = list(set(all_files_on_storage) - set(all_files_in_tables)) + if not orphaned_files: + click.echo(click.style("No orphaned files found. There is nothing to remove.", fg="green")) + return + click.echo(click.style(f"Found {len(orphaned_files)} orphaned files.", fg="white")) + for file in orphaned_files: + click.echo(click.style(f"- orphaned file: {file}", fg="black")) + if not force: + click.confirm(f"Do you want to proceed to remove all {len(orphaned_files)} orphaned files?", abort=True) + + # delete orphaned files + removed_files = 0 + error_files = 0 + for file in orphaned_files: + try: + storage.delete(file) + removed_files += 1 + click.echo(click.style(f"- Removing orphaned file: {file}", fg="white")) + except Exception as e: + error_files += 1 + click.echo(click.style(f"- Error deleting orphaned file {file}: {str(e)}", fg="red")) + continue + if error_files == 0: + click.echo(click.style(f"Removed {removed_files} orphaned files without errors.", fg="green")) + else: + click.echo(click.style(f"Removed {removed_files} orphaned files, with {error_files} errors.", fg="yellow")) diff --git a/api/configs/app_config.py b/api/configs/app_config.py index ac1ce9db10..3a3ad35ee7 100644 --- a/api/configs/app_config.py +++ b/api/configs/app_config.py @@ -9,9 +9,11 @@ from .enterprise import EnterpriseFeatureConfig from .extra import ExtraServiceConfig from .feature import FeatureConfig from .middleware import MiddlewareConfig +from .observability import ObservabilityConfig from .packaging import PackagingInfo from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName from .remote_settings_sources.apollo import ApolloSettingsSource +from .remote_settings_sources.nacos import NacosSettingsSource logger = logging.getLogger(__name__) @@ -33,6 +35,8 @@ class RemoteSettingsSourceFactory(PydanticBaseSettingsSource): match remote_source_name: case RemoteSettingsSourceName.APOLLO: remote_source = ApolloSettingsSource(current_state) + case RemoteSettingsSourceName.NACOS: + remote_source = NacosSettingsSource(current_state) case _: logger.warning(f"Unsupported remote source: {remote_source_name}") return {} @@ -59,6 +63,8 @@ class DifyConfig( MiddlewareConfig, # Extra service configs ExtraServiceConfig, + # Observability configs + ObservabilityConfig, # Remote source configs RemoteSettingsSourceConfig, # Enterprise feature configs diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index d35a74e3ee..f498dccbbc 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -12,7 +12,7 @@ from pydantic import ( ) from pydantic_settings import BaseSettings -from configs.feature.hosted_service import HostedServiceConfig +from .hosted_service import HostedServiceConfig class SecurityConfig(BaseSettings): @@ -519,6 +519,11 @@ class WorkflowNodeExecutionConfig(BaseSettings): default=100, ) + WORKFLOW_NODE_EXECUTION_STORAGE: str = Field( + default="rdbms", + description="Storage backend for WorkflowNodeExecution. Options: 'rdbms', 'hybrid'", + ) + class AuthConfig(BaseSettings): """ diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 15dfe0063b..d285515998 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -22,6 +22,7 @@ from .vdb.baidu_vector_config import BaiduVectorDBConfig from .vdb.chroma_config import ChromaConfig from .vdb.couchbase_config import CouchbaseConfig from .vdb.elasticsearch_config import ElasticsearchConfig +from .vdb.huawei_cloud_config import HuaweiCloudConfig from .vdb.lindorm_config import LindormConfig from .vdb.milvus_config import MilvusConfig from .vdb.myscale_config import MyScaleConfig @@ -38,6 +39,7 @@ from .vdb.tencent_vector_config import TencentVectorDBConfig from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig from .vdb.tidb_vector_config import TiDBVectorConfig from .vdb.upstash_config import UpstashConfig +from .vdb.vastbase_vector_config import VastbaseVectorConfig from .vdb.vikingdb_config import VikingDBConfig from .vdb.weaviate_config import WeaviateConfig @@ -263,11 +265,13 @@ class MiddlewareConfig( VectorStoreConfig, AnalyticdbConfig, ChromaConfig, + HuaweiCloudConfig, MilvusConfig, MyScaleConfig, OpenSearchConfig, OracleConfig, PGVectorConfig, + VastbaseVectorConfig, PGVectoRSConfig, QdrantConfig, RelytConfig, diff --git a/api/configs/middleware/vdb/huawei_cloud_config.py b/api/configs/middleware/vdb/huawei_cloud_config.py new file mode 100644 index 0000000000..2290c60499 --- /dev/null +++ b/api/configs/middleware/vdb/huawei_cloud_config.py @@ -0,0 +1,25 @@ +from typing import Optional + +from pydantic import Field +from pydantic_settings import BaseSettings + + +class HuaweiCloudConfig(BaseSettings): + """ + Configuration settings for Huawei cloud search service + """ + + HUAWEI_CLOUD_HOSTS: Optional[str] = Field( + description="Hostname or IP address of the Huawei cloud search service instance", + default=None, + ) + + HUAWEI_CLOUD_USER: Optional[str] = Field( + description="Username for authenticating with Huawei cloud search service", + default=None, + ) + + HUAWEI_CLOUD_PASSWORD: Optional[str] = Field( + description="Password for authenticating with Huawei cloud search service", + default=None, + ) diff --git a/api/configs/middleware/vdb/lindorm_config.py b/api/configs/middleware/vdb/lindorm_config.py index 95e1d1cfca..e80e3f4a35 100644 --- a/api/configs/middleware/vdb/lindorm_config.py +++ b/api/configs/middleware/vdb/lindorm_config.py @@ -32,3 +32,4 @@ class LindormConfig(BaseSettings): description="Using UGC index will store the same type of Index in a single index but can retrieve separately.", default=False, ) + LINDORM_QUERY_TIMEOUT: Optional[float] = Field(description="The lindorm search request timeout (s)", default=2.0) diff --git a/api/configs/middleware/vdb/milvus_config.py b/api/configs/middleware/vdb/milvus_config.py index ebdf8857b9..d398ef5bd8 100644 --- a/api/configs/middleware/vdb/milvus_config.py +++ b/api/configs/middleware/vdb/milvus_config.py @@ -39,3 +39,8 @@ class MilvusConfig(BaseSettings): "older versions", default=True, ) + + MILVUS_ANALYZER_PARAMS: Optional[str] = Field( + description='Milvus text analyzer parameters, e.g., {"type": "chinese"} for Chinese segmentation support.', + default=None, + ) diff --git a/api/configs/middleware/vdb/opensearch_config.py b/api/configs/middleware/vdb/opensearch_config.py index 81dde4c04d..96f478e9a6 100644 --- a/api/configs/middleware/vdb/opensearch_config.py +++ b/api/configs/middleware/vdb/opensearch_config.py @@ -1,4 +1,5 @@ -from typing import Optional +import enum +from typing import Literal, Optional from pydantic import Field, PositiveInt from pydantic_settings import BaseSettings @@ -9,6 +10,14 @@ class OpenSearchConfig(BaseSettings): Configuration settings for OpenSearch """ + class AuthMethod(enum.StrEnum): + """ + Authentication method for OpenSearch + """ + + BASIC = "basic" + AWS_MANAGED_IAM = "aws_managed_iam" + OPENSEARCH_HOST: Optional[str] = Field( description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')", default=None, @@ -19,6 +28,16 @@ class OpenSearchConfig(BaseSettings): default=9200, ) + OPENSEARCH_SECURE: bool = Field( + description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)", + default=False, + ) + + OPENSEARCH_AUTH_METHOD: AuthMethod = Field( + description="Authentication method for OpenSearch connection (default is 'basic')", + default=AuthMethod.BASIC, + ) + OPENSEARCH_USER: Optional[str] = Field( description="Username for authenticating with OpenSearch", default=None, @@ -29,7 +48,11 @@ class OpenSearchConfig(BaseSettings): default=None, ) - OPENSEARCH_SECURE: bool = Field( - description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)", - default=False, + OPENSEARCH_AWS_REGION: Optional[str] = Field( + description="AWS region for OpenSearch (e.g. 'us-west-2')", + default=None, + ) + + OPENSEARCH_AWS_SERVICE: Optional[Literal["es", "aoss"]] = Field( + description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None ) diff --git a/api/configs/middleware/vdb/vastbase_vector_config.py b/api/configs/middleware/vdb/vastbase_vector_config.py new file mode 100644 index 0000000000..816d6df90a --- /dev/null +++ b/api/configs/middleware/vdb/vastbase_vector_config.py @@ -0,0 +1,45 @@ +from typing import Optional + +from pydantic import Field, PositiveInt +from pydantic_settings import BaseSettings + + +class VastbaseVectorConfig(BaseSettings): + """ + Configuration settings for Vector (Vastbase with vector extension) + """ + + VASTBASE_HOST: Optional[str] = Field( + description="Hostname or IP address of the Vastbase server with Vector extension (e.g., 'localhost')", + default=None, + ) + + VASTBASE_PORT: PositiveInt = Field( + description="Port number on which the Vastbase server is listening (default is 5432)", + default=5432, + ) + + VASTBASE_USER: Optional[str] = Field( + description="Username for authenticating with the Vastbase database", + default=None, + ) + + VASTBASE_PASSWORD: Optional[str] = Field( + description="Password for authenticating with the Vastbase database", + default=None, + ) + + VASTBASE_DATABASE: Optional[str] = Field( + description="Name of the Vastbase database to connect to", + default=None, + ) + + VASTBASE_MIN_CONNECTION: PositiveInt = Field( + description="Min connection of the Vastbase database", + default=1, + ) + + VASTBASE_MAX_CONNECTION: PositiveInt = Field( + description="Max connection of the Vastbase database", + default=5, + ) diff --git a/api/configs/observability/__init__.py b/api/configs/observability/__init__.py new file mode 100644 index 0000000000..8c6f21e28b --- /dev/null +++ b/api/configs/observability/__init__.py @@ -0,0 +1,9 @@ +from configs.observability.otel.otel_config import OTelConfig + + +class ObservabilityConfig(OTelConfig): + """ + Observability configuration settings + """ + + pass diff --git a/api/configs/observability/otel/otel_config.py b/api/configs/observability/otel/otel_config.py new file mode 100644 index 0000000000..568a800d10 --- /dev/null +++ b/api/configs/observability/otel/otel_config.py @@ -0,0 +1,44 @@ +from pydantic import Field +from pydantic_settings import BaseSettings + + +class OTelConfig(BaseSettings): + """ + OpenTelemetry configuration settings + """ + + ENABLE_OTEL: bool = Field( + description="Whether to enable OpenTelemetry", + default=False, + ) + + OTLP_BASE_ENDPOINT: str = Field( + description="OTLP base endpoint", + default="http://localhost:4318", + ) + + OTLP_API_KEY: str = Field( + description="OTLP API key", + default="", + ) + + OTEL_EXPORTER_TYPE: str = Field( + description="OTEL exporter type", + default="otlp", + ) + + OTEL_SAMPLING_RATE: float = Field(default=0.1, description="Sampling rate for traces (0.0 to 1.0)") + + OTEL_BATCH_EXPORT_SCHEDULE_DELAY: int = Field( + default=5000, description="Batch export schedule delay in milliseconds" + ) + + OTEL_MAX_QUEUE_SIZE: int = Field(default=2048, description="Maximum queue size for the batch span processor") + + OTEL_MAX_EXPORT_BATCH_SIZE: int = Field(default=512, description="Maximum export batch size") + + OTEL_METRIC_EXPORT_INTERVAL: int = Field(default=60000, description="Metric export interval in milliseconds") + + OTEL_BATCH_EXPORT_TIMEOUT: int = Field(default=10000, description="Batch export timeout in milliseconds") + + OTEL_METRIC_EXPORT_TIMEOUT: int = Field(default=30000, description="Metric export timeout in milliseconds") diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index c7aedc5b8a..c7960e1356 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="1.2.0", + default="1.3.1", ) COMMIT_SHA: str = Field( diff --git a/api/configs/remote_settings_sources/apollo/client.py b/api/configs/remote_settings_sources/apollo/client.py index 03c64ea00f..88b30d3987 100644 --- a/api/configs/remote_settings_sources/apollo/client.py +++ b/api/configs/remote_settings_sources/apollo/client.py @@ -270,7 +270,7 @@ class ApolloClient: while not self._stopping: for namespace in self._notification_map: self._do_heart_beat(namespace) - time.sleep(60 * 10) # 10分钟 + time.sleep(60 * 10) # 10 minutes def _do_heart_beat(self, namespace): url = "{}/configs/{}/{}/{}?ip={}".format(self.config_url, self.app_id, self.cluster, namespace, self.ip) diff --git a/api/configs/remote_settings_sources/enums.py b/api/configs/remote_settings_sources/enums.py index 3081f2950f..dd998cac64 100644 --- a/api/configs/remote_settings_sources/enums.py +++ b/api/configs/remote_settings_sources/enums.py @@ -3,3 +3,4 @@ from enum import StrEnum class RemoteSettingsSourceName(StrEnum): APOLLO = "apollo" + NACOS = "nacos" diff --git a/api/configs/remote_settings_sources/nacos/__init__.py b/api/configs/remote_settings_sources/nacos/__init__.py new file mode 100644 index 0000000000..b1ce8e87bc --- /dev/null +++ b/api/configs/remote_settings_sources/nacos/__init__.py @@ -0,0 +1,52 @@ +import logging +import os +from collections.abc import Mapping +from typing import Any + +from pydantic.fields import FieldInfo + +from .http_request import NacosHttpClient + +logger = logging.getLogger(__name__) + +from configs.remote_settings_sources.base import RemoteSettingsSource + +from .utils import _parse_config + + +class NacosSettingsSource(RemoteSettingsSource): + def __init__(self, configs: Mapping[str, Any]): + self.configs = configs + self.remote_configs: dict[str, Any] = {} + self.async_init() + + def async_init(self): + data_id = os.getenv("DIFY_ENV_NACOS_DATA_ID", "dify-api-env.properties") + group = os.getenv("DIFY_ENV_NACOS_GROUP", "nacos-dify") + tenant = os.getenv("DIFY_ENV_NACOS_NAMESPACE", "") + + params = {"dataId": data_id, "group": group, "tenant": tenant} + try: + content = NacosHttpClient().http_request("/nacos/v1/cs/configs", method="GET", headers={}, params=params) + self.remote_configs = self._parse_config(content) + except Exception as e: + logger.exception("[get-access-token] exception occurred") + raise + + def _parse_config(self, content: str) -> dict: + if not content: + return {} + try: + return _parse_config(self, content) + except Exception as e: + raise RuntimeError(f"Failed to parse config: {e}") + + def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]: + if not isinstance(self.remote_configs, dict): + raise ValueError(f"remote configs is not dict, but {type(self.remote_configs)}") + + field_value = self.remote_configs.get(field_name) + if field_value is None: + return None, field_name, False + + return field_value, field_name, False diff --git a/api/configs/remote_settings_sources/nacos/http_request.py b/api/configs/remote_settings_sources/nacos/http_request.py new file mode 100644 index 0000000000..2785bd955b --- /dev/null +++ b/api/configs/remote_settings_sources/nacos/http_request.py @@ -0,0 +1,83 @@ +import base64 +import hashlib +import hmac +import logging +import os +import time + +import requests + +logger = logging.getLogger(__name__) + + +class NacosHttpClient: + def __init__(self): + self.username = os.getenv("DIFY_ENV_NACOS_USERNAME") + self.password = os.getenv("DIFY_ENV_NACOS_PASSWORD") + self.ak = os.getenv("DIFY_ENV_NACOS_ACCESS_KEY") + self.sk = os.getenv("DIFY_ENV_NACOS_SECRET_KEY") + self.server = os.getenv("DIFY_ENV_NACOS_SERVER_ADDR", "localhost:8848") + self.token = None + self.token_ttl = 18000 + self.token_expire_time: float = 0 + + def http_request(self, url, method="GET", headers=None, params=None): + try: + self._inject_auth_info(headers, params) + response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params) + response.raise_for_status() + return response.text + except requests.exceptions.RequestException as e: + return f"Request to Nacos failed: {e}" + + def _inject_auth_info(self, headers, params, module="config"): + headers.update({"User-Agent": "Nacos-Http-Client-In-Dify:v0.0.1"}) + + if module == "login": + return + + ts = str(int(time.time() * 1000)) + + if self.ak and self.sk: + sign_str = self.get_sign_str(params["group"], params["tenant"], ts) + headers["Spas-AccessKey"] = self.ak + headers["Spas-Signature"] = self.__do_sign(sign_str, self.sk) + headers["timeStamp"] = ts + if self.username and self.password: + self.get_access_token(force_refresh=False) + params["accessToken"] = self.token + + def __do_sign(self, sign_str, sk): + return ( + base64.encodebytes(hmac.new(sk.encode(), sign_str.encode(), digestmod=hashlib.sha1).digest()) + .decode() + .strip() + ) + + def get_sign_str(self, group, tenant, ts): + sign_str = "" + if tenant: + sign_str = tenant + "+" + if group: + sign_str = sign_str + group + "+" + if sign_str: + sign_str += ts + return sign_str + + def get_access_token(self, force_refresh=False): + current_time = time.time() + if self.token and not force_refresh and self.token_expire_time > current_time: + return self.token + + params = {"username": self.username, "password": self.password} + url = "http://" + self.server + "/nacos/v1/auth/login" + try: + resp = requests.request("POST", url, headers=None, params=params) + resp.raise_for_status() + response_data = resp.json() + self.token = response_data.get("accessToken") + self.token_ttl = response_data.get("tokenTtl", 18000) + self.token_expire_time = current_time + self.token_ttl - 10 + except Exception as e: + logger.exception("[get-access-token] exception occur") + raise diff --git a/api/configs/remote_settings_sources/nacos/utils.py b/api/configs/remote_settings_sources/nacos/utils.py new file mode 100644 index 0000000000..f3372563b1 --- /dev/null +++ b/api/configs/remote_settings_sources/nacos/utils.py @@ -0,0 +1,31 @@ +def _parse_config(self, content: str) -> dict[str, str]: + config: dict[str, str] = {} + if not content: + return config + + for line in content.splitlines(): + cleaned_line = line.strip() + if not cleaned_line or cleaned_line.startswith(("#", "!")): + continue + + separator_index = -1 + for i, c in enumerate(cleaned_line): + if c in ("=", ":") and (i == 0 or cleaned_line[i - 1] != "\\"): + separator_index = i + break + + if separator_index == -1: + continue + + key = cleaned_line[:separator_index].strip() + raw_value = cleaned_line[separator_index + 1 :].strip() + + try: + decoded_value = bytes(raw_value, "utf-8").decode("unicode_escape") + decoded_value = decoded_value.replace(r"\=", "=").replace(r"\:", ":") + except UnicodeDecodeError: + decoded_value = raw_value + + config[key] = decoded_value + + return config diff --git a/api/constants/__init__.py b/api/constants/__init__.py index b5dfd9cb18..a84de0a451 100644 --- a/api/constants/__init__.py +++ b/api/constants/__init__.py @@ -3,6 +3,8 @@ from configs import dify_config HIDDEN_VALUE = "[__HIDDEN__]" UUID_NIL = "00000000-0000-0000-0000-000000000000" +DEFAULT_FILE_NUMBER_LIMITS = 3 + IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"] IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS]) @@ -14,11 +16,25 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS]) if dify_config.ETL_TYPE == "Unstructured": - DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"] + DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls", "vtt", "properties"] DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub")) if dify_config.UNSTRUCTURED_API_URL: DOCUMENT_EXTENSIONS.append("ppt") DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS]) else: - DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls", "docx", "csv"] + DOCUMENT_EXTENSIONS = [ + "txt", + "markdown", + "md", + "mdx", + "pdf", + "html", + "htm", + "xlsx", + "xls", + "docx", + "csv", + "vtt", + "properties", + ] DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS]) diff --git a/api/controllers/common/helpers.py b/api/controllers/common/helpers.py index 2979375169..008f1f0f7a 100644 --- a/api/controllers/common/helpers.py +++ b/api/controllers/common/helpers.py @@ -4,8 +4,6 @@ import platform import re import urllib.parse import warnings -from collections.abc import Mapping -from typing import Any from uuid import uuid4 import httpx @@ -29,8 +27,6 @@ except ImportError: from pydantic import BaseModel -from configs import dify_config - class FileInfo(BaseModel): filename: str @@ -87,38 +83,3 @@ def guess_file_info_from_response(response: httpx.Response): mimetype=mimetype, size=int(response.headers.get("Content-Length", -1)), ) - - -def get_parameters_from_feature_dict(*, features_dict: Mapping[str, Any], user_input_form: list[dict[str, Any]]): - return { - "opening_statement": features_dict.get("opening_statement"), - "suggested_questions": features_dict.get("suggested_questions", []), - "suggested_questions_after_answer": features_dict.get("suggested_questions_after_answer", {"enabled": False}), - "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}), - "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}), - "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}), - "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}), - "more_like_this": features_dict.get("more_like_this", {"enabled": False}), - "user_input_form": user_input_form, - "sensitive_word_avoidance": features_dict.get( - "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []} - ), - "file_upload": features_dict.get( - "file_upload", - { - "image": { - "enabled": False, - "number_limits": 3, - "detail": "high", - "transfer_methods": ["remote_url", "local_file"], - } - }, - ), - "system_parameters": { - "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT, - "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT, - "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT, - "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT, - "workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT, - }, - } diff --git a/api/controllers/console/app/annotation.py b/api/controllers/console/app/annotation.py index 24f1020c18..48353a63af 100644 --- a/api/controllers/console/app/annotation.py +++ b/api/controllers/console/app/annotation.py @@ -89,7 +89,7 @@ class AnnotationReplyActionStatusApi(Resource): app_annotation_job_key = "{}_app_annotation_job_{}".format(action, str(job_id)) cache_result = redis_client.get(app_annotation_job_key) if cache_result is None: - raise ValueError("The job is not exist.") + raise ValueError("The job does not exist.") job_status = cache_result.decode() error_msg = "" @@ -186,7 +186,7 @@ class AnnotationUpdateDeleteApi(Resource): app_id = str(app_id) annotation_id = str(annotation_id) AppAnnotationService.delete_app_annotation(app_id, annotation_id) - return {"result": "success"}, 200 + return {"result": "success"}, 204 class AnnotationBatchImportApi(Resource): @@ -226,7 +226,7 @@ class AnnotationBatchImportStatusApi(Resource): indexing_cache_key = "app_annotation_batch_import_{}".format(str(job_id)) cache_result = redis_client.get(indexing_cache_key) if cache_result is None: - raise ValueError("The job is not exist.") + raise ValueError("The job does not exist.") job_status = cache_result.decode() error_msg = "" if job_status == "error": diff --git a/api/controllers/console/app/audio.py b/api/controllers/console/app/audio.py index 12d9157dda..7519ae96c0 100644 --- a/api/controllers/console/app/audio.py +++ b/api/controllers/console/app/audio.py @@ -80,8 +80,6 @@ class ChatMessageTextApi(Resource): @account_initialization_required @get_app_model def post(self, app_model: App): - from werkzeug.exceptions import InternalServerError - try: parser = reqparse.RequestParser() parser.add_argument("message_id", type=str, location="json") diff --git a/api/controllers/console/app/generator.py b/api/controllers/console/app/generator.py index 8518d34a8e..4046417076 100644 --- a/api/controllers/console/app/generator.py +++ b/api/controllers/console/app/generator.py @@ -85,5 +85,35 @@ class RuleCodeGenerateApi(Resource): return code_result +class RuleStructuredOutputGenerateApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + parser = reqparse.RequestParser() + parser.add_argument("instruction", type=str, required=True, nullable=False, location="json") + parser.add_argument("model_config", type=dict, required=True, nullable=False, location="json") + args = parser.parse_args() + + account = current_user + try: + structured_output = LLMGenerator.generate_structured_output( + tenant_id=account.current_tenant_id, + instruction=args["instruction"], + model_config=args["model_config"], + ) + except ProviderTokenNotInitError as ex: + raise ProviderNotInitializeError(ex.description) + except QuotaExceededError: + raise ProviderQuotaExceededError() + except ModelCurrentlyNotSupportError: + raise ProviderModelCurrentlyNotSupportError() + except InvokeError as e: + raise CompletionRequestError(e.description) + + return structured_output + + api.add_resource(RuleGenerateApi, "/rule-generate") api.add_resource(RuleCodeGenerateApi, "/rule-code-generate") +api.add_resource(RuleStructuredOutputGenerateApi, "/rule-structured-output-generate") diff --git a/api/controllers/console/app/ops_trace.py b/api/controllers/console/app/ops_trace.py index dd25af8ebf..7176440e16 100644 --- a/api/controllers/console/app/ops_trace.py +++ b/api/controllers/console/app/ops_trace.py @@ -84,7 +84,7 @@ class TraceAppConfigApi(Resource): result = OpsService.delete_tracing_app_config(app_id=app_id, tracing_provider=args["tracing_provider"]) if not result: raise TracingConfigNotExist() - return {"result": "success"} + return {"result": "success"}, 204 except Exception as e: raise BadRequest(str(e)) diff --git a/api/controllers/console/app/workflow_app_log.py b/api/controllers/console/app/workflow_app_log.py index 54640b1a19..d863747995 100644 --- a/api/controllers/console/app/workflow_app_log.py +++ b/api/controllers/console/app/workflow_app_log.py @@ -1,5 +1,4 @@ -from datetime import datetime - +from dateutil.parser import isoparse from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful.inputs import int_range # type: ignore from sqlalchemy.orm import Session @@ -41,10 +40,10 @@ class WorkflowAppLogApi(Resource): args.status = WorkflowRunStatus(args.status) if args.status else None if args.created_at__before: - args.created_at__before = datetime.fromisoformat(args.created_at__before.replace("Z", "+00:00")) + args.created_at__before = isoparse(args.created_at__before) if args.created_at__after: - args.created_at__after = datetime.fromisoformat(args.created_at__after.replace("Z", "+00:00")) + args.created_at__after = isoparse(args.created_at__after) # get paginate workflow app logs workflow_app_service = WorkflowAppService() diff --git a/api/controllers/console/auth/data_source_bearer_auth.py b/api/controllers/console/auth/data_source_bearer_auth.py index ea00c2b8c2..5f0762e4a5 100644 --- a/api/controllers/console/auth/data_source_bearer_auth.py +++ b/api/controllers/console/auth/data_source_bearer_auth.py @@ -65,7 +65,7 @@ class ApiKeyAuthDataSourceBindingDelete(Resource): ApiKeyAuthService.delete_provider_auth(current_user.current_tenant_id, binding_id) - return {"result": "success"}, 200 + return {"result": "success"}, 204 api.add_resource(ApiKeyAuthDataSource, "/api-key-auth/data-source") diff --git a/api/controllers/console/auth/data_source_oauth.py b/api/controllers/console/auth/data_source_oauth.py index e911c9a5e5..b4bd80fe2f 100644 --- a/api/controllers/console/auth/data_source_oauth.py +++ b/api/controllers/console/auth/data_source_oauth.py @@ -74,7 +74,9 @@ class OAuthDataSourceBinding(Resource): if not oauth_provider: return {"error": "Invalid provider"}, 400 if "code" in request.args: - code = request.args.get("code") + code = request.args.get("code", "") + if not code: + return {"error": "Invalid code"}, 400 try: oauth_provider.get_access_token(code) except requests.exceptions.HTTPError as e: diff --git a/api/controllers/console/auth/forgot_password.py b/api/controllers/console/auth/forgot_password.py index dc0009f36e..d4a33645ab 100644 --- a/api/controllers/console/auth/forgot_password.py +++ b/api/controllers/console/auth/forgot_password.py @@ -16,7 +16,7 @@ from controllers.console.auth.error import ( PasswordMismatchError, ) from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError -from controllers.console.wraps import setup_required +from controllers.console.wraps import email_password_login_enabled, setup_required from events.tenant_event import tenant_was_created from extensions.ext_database import db from libs.helper import email, extract_remote_ip @@ -30,6 +30,7 @@ from services.feature_service import FeatureService class ForgotPasswordSendEmailApi(Resource): @setup_required + @email_password_login_enabled def post(self): parser = reqparse.RequestParser() parser.add_argument("email", type=email, required=True, location="json") @@ -62,6 +63,7 @@ class ForgotPasswordSendEmailApi(Resource): class ForgotPasswordCheckApi(Resource): @setup_required + @email_password_login_enabled def post(self): parser = reqparse.RequestParser() parser.add_argument("email", type=str, required=True, location="json") @@ -86,12 +88,21 @@ class ForgotPasswordCheckApi(Resource): AccountService.add_forgot_password_error_rate_limit(args["email"]) raise EmailCodeError() + # Verified, revoke the first token + AccountService.revoke_reset_password_token(args["token"]) + + # Refresh token data by generating a new token + _, new_token = AccountService.generate_reset_password_token( + user_email, code=args["code"], additional_data={"phase": "reset"} + ) + AccountService.reset_forgot_password_error_rate_limit(args["email"]) - return {"is_valid": True, "email": token_data.get("email")} + return {"is_valid": True, "email": token_data.get("email"), "token": new_token} class ForgotPasswordResetApi(Resource): @setup_required + @email_password_login_enabled def post(self): parser = reqparse.RequestParser() parser.add_argument("token", type=str, required=True, nullable=False, location="json") @@ -107,6 +118,9 @@ class ForgotPasswordResetApi(Resource): reset_data = AccountService.get_reset_password_data(args["token"]) if not reset_data: raise InvalidTokenError() + # Must use token in reset phase + if reset_data.get("phase", "") != "reset": + raise InvalidTokenError() # Revoke token to prevent reuse AccountService.revoke_reset_password_token(args["token"]) diff --git a/api/controllers/console/auth/login.py b/api/controllers/console/auth/login.py index 41362e9fa2..16c1dcc441 100644 --- a/api/controllers/console/auth/login.py +++ b/api/controllers/console/auth/login.py @@ -22,7 +22,7 @@ from controllers.console.error import ( EmailSendIpLimitError, NotAllowedCreateWorkspace, ) -from controllers.console.wraps import setup_required +from controllers.console.wraps import email_password_login_enabled, setup_required from events.tenant_event import tenant_was_created from libs.helper import email, extract_remote_ip from libs.password import valid_password @@ -38,6 +38,7 @@ class LoginApi(Resource): """Resource for user login.""" @setup_required + @email_password_login_enabled def post(self): """Authenticate user and login.""" parser = reqparse.RequestParser() @@ -110,6 +111,7 @@ class LogoutApi(Resource): class ResetPasswordSendEmailApi(Resource): @setup_required + @email_password_login_enabled def post(self): parser = reqparse.RequestParser() parser.add_argument("email", type=email, required=True, location="json") diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 4644ac6299..43615af709 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -657,6 +657,7 @@ class DatasetRetrievalSettingApi(Resource): | VectorType.ELASTICSEARCH | VectorType.ELASTICSEARCH_JA | VectorType.PGVECTOR + | VectorType.VASTBASE | VectorType.TIDB_ON_QDRANT | VectorType.LINDORM | VectorType.COUCHBASE @@ -664,6 +665,7 @@ class DatasetRetrievalSettingApi(Resource): | VectorType.OPENGAUSS | VectorType.OCEANBASE | VectorType.TABLESTORE + | VectorType.HUAWEI_CLOUD | VectorType.TENCENT ): return { @@ -705,11 +707,13 @@ class DatasetRetrievalSettingMockApi(Resource): | VectorType.ELASTICSEARCH_JA | VectorType.COUCHBASE | VectorType.PGVECTOR + | VectorType.VASTBASE | VectorType.LINDORM | VectorType.OPENGAUSS | VectorType.OCEANBASE | VectorType.TABLESTORE | VectorType.TENCENT + | VectorType.HUAWEI_CLOUD ): return { "retrieval_method": [ diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index 0b40312368..3588abeff5 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -40,7 +40,7 @@ from core.indexing_runner import IndexingRunner from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.errors.invoke import InvokeAuthorizationError -from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.impl.exc import PluginDaemonClientSideError from core.rag.extractor.entity.extract_setting import ExtractSetting from extensions.ext_database import db from extensions.ext_redis import redis_client diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py index 1b38d0776a..5c54ecbe81 100644 --- a/api/controllers/console/datasets/datasets_segments.py +++ b/api/controllers/console/datasets/datasets_segments.py @@ -131,7 +131,7 @@ class DatasetDocumentSegmentListApi(Resource): except services.errors.account.NoPermissionError as e: raise Forbidden(str(e)) SegmentService.delete_segments(segment_ids, document, dataset) - return {"result": "success"}, 200 + return {"result": "success"}, 204 class DatasetDocumentSegmentApi(Resource): @@ -333,7 +333,7 @@ class DatasetDocumentSegmentUpdateApi(Resource): except services.errors.account.NoPermissionError as e: raise Forbidden(str(e)) SegmentService.delete_segment(segment, document, dataset) - return {"result": "success"}, 200 + return {"result": "success"}, 204 class DatasetDocumentSegmentBatchImportApi(Resource): @@ -398,7 +398,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource): indexing_cache_key = "segment_batch_import_{}".format(job_id) cache_result = redis_client.get(indexing_cache_key) if cache_result is None: - raise ValueError("The job is not exist.") + raise ValueError("The job does not exist.") return {"job_id": job_id, "job_status": cache_result.decode()}, 200 @@ -590,7 +590,7 @@ class ChildChunkUpdateApi(Resource): SegmentService.delete_child_chunk(child_chunk, dataset) except ChildChunkDeleteIndexServiceError as e: raise ChildChunkDeleteIndexError(str(e)) - return {"result": "success"}, 200 + return {"result": "success"}, 204 @setup_required @login_required diff --git a/api/controllers/console/datasets/external.py b/api/controllers/console/datasets/external.py index 48f360dcd1..aee8323f23 100644 --- a/api/controllers/console/datasets/external.py +++ b/api/controllers/console/datasets/external.py @@ -21,12 +21,6 @@ def _validate_name(name): return name -def _validate_description_length(description): - if description and len(description) > 400: - raise ValueError("Description cannot exceed 400 characters.") - return description - - class ExternalApiTemplateListApi(Resource): @setup_required @login_required @@ -141,7 +135,7 @@ class ExternalApiTemplateApi(Resource): raise Forbidden() ExternalDatasetService.delete_external_knowledge_api(current_user.current_tenant_id, external_knowledge_api_id) - return {"result": "success"}, 200 + return {"result": "success"}, 204 class ExternalApiUseCheckApi(Resource): diff --git a/api/controllers/console/datasets/metadata.py b/api/controllers/console/datasets/metadata.py index 14183a1e67..e4cac40ca1 100644 --- a/api/controllers/console/datasets/metadata.py +++ b/api/controllers/console/datasets/metadata.py @@ -14,18 +14,6 @@ from services.entities.knowledge_entities.knowledge_entities import ( from services.metadata_service import MetadataService -def _validate_name(name): - if not name or len(name) < 1 or len(name) > 40: - raise ValueError("Name must be between 1 to 40 characters.") - return name - - -def _validate_description_length(description): - if len(description) > 400: - raise ValueError("Description cannot exceed 400 characters.") - return description - - class DatasetMetadataCreateApi(Resource): @setup_required @login_required @@ -94,7 +82,7 @@ class DatasetMetadataApi(Resource): DatasetService.check_dataset_permission(dataset, current_user) MetadataService.delete_metadata(dataset_id_str, metadata_id_str) - return 200 + return {"result": "success"}, 204 class DatasetMetadataBuiltInFieldApi(Resource): diff --git a/api/controllers/console/explore/installed_app.py b/api/controllers/console/explore/installed_app.py index 86550b2bdf..132da11878 100644 --- a/api/controllers/console/explore/installed_app.py +++ b/api/controllers/console/explore/installed_app.py @@ -113,7 +113,7 @@ class InstalledAppApi(InstalledAppResource): db.session.delete(installed_app) db.session.commit() - return {"result": "success", "message": "App uninstalled successfully"} + return {"result": "success", "message": "App uninstalled successfully"}, 204 def patch(self, installed_app): parser = reqparse.RequestParser() diff --git a/api/controllers/console/explore/parameter.py b/api/controllers/console/explore/parameter.py index 5bc74d16e7..bf9f0d6b28 100644 --- a/api/controllers/console/explore/parameter.py +++ b/api/controllers/console/explore/parameter.py @@ -1,10 +1,10 @@ from flask_restful import marshal_with # type: ignore from controllers.common import fields -from controllers.common import helpers as controller_helpers from controllers.console import api from controllers.console.app.error import AppUnavailableError from controllers.console.explore.wraps import InstalledAppResource +from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict from models.model import AppMode, InstalledApp from services.app_service import AppService @@ -36,9 +36,7 @@ class AppParameterApi(InstalledAppResource): user_input_form = features_dict.get("user_input_form", []) - return controller_helpers.get_parameters_from_feature_dict( - features_dict=features_dict, user_input_form=user_input_form - ) + return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form) class ExploreAppMetaApi(InstalledAppResource): diff --git a/api/controllers/console/explore/saved_message.py b/api/controllers/console/explore/saved_message.py index 9f0c496645..3a1655d0ee 100644 --- a/api/controllers/console/explore/saved_message.py +++ b/api/controllers/console/explore/saved_message.py @@ -72,7 +72,7 @@ class SavedMessageApi(InstalledAppResource): SavedMessageService.delete(app_model, current_user, message_id) - return {"result": "success"} + return {"result": "success"}, 204 api.add_resource( diff --git a/api/controllers/console/extension.py b/api/controllers/console/extension.py index ed6cedb220..833da0d03c 100644 --- a/api/controllers/console/extension.py +++ b/api/controllers/console/extension.py @@ -99,7 +99,7 @@ class APIBasedExtensionDetailAPI(Resource): APIBasedExtensionService.delete(extension_data_from_db) - return {"result": "success"} + return {"result": "success"}, 204 api.add_resource(CodeBasedExtensionAPI, "/code-based-extension") diff --git a/api/controllers/console/tag/tags.py b/api/controllers/console/tag/tags.py index da83f64019..0d0d7ae95f 100644 --- a/api/controllers/console/tag/tags.py +++ b/api/controllers/console/tag/tags.py @@ -86,7 +86,7 @@ class TagUpdateDeleteApi(Resource): TagService.delete_tag(tag_id) - return 200 + return 204 class TagBindingCreateApi(Resource): diff --git a/api/controllers/console/workspace/account.py b/api/controllers/console/workspace/account.py index d2cc140489..e9c25e6c5b 100644 --- a/api/controllers/console/workspace/account.py +++ b/api/controllers/console/workspace/account.py @@ -286,8 +286,6 @@ class AccountDeleteApi(Resource): class AccountDeleteUpdateFeedbackApi(Resource): @setup_required def post(self): - account = current_user - parser = reqparse.RequestParser() parser.add_argument("email", type=str, required=True, location="json") parser.add_argument("feedback", type=str, required=True, location="json") diff --git a/api/controllers/console/workspace/endpoint.py b/api/controllers/console/workspace/endpoint.py index a5bd2a4bcf..aa1a78935d 100644 --- a/api/controllers/console/workspace/endpoint.py +++ b/api/controllers/console/workspace/endpoint.py @@ -5,6 +5,7 @@ from werkzeug.exceptions import Forbidden from controllers.console import api from controllers.console.wraps import account_initialization_required, setup_required from core.model_runtime.utils.encoders import jsonable_encoder +from core.plugin.impl.exc import PluginPermissionDeniedError from libs.login import login_required from services.plugin.endpoint_service import EndpointService @@ -28,15 +29,18 @@ class EndpointCreateApi(Resource): settings = args["settings"] name = args["name"] - return { - "success": EndpointService.create_endpoint( - tenant_id=user.current_tenant_id, - user_id=user.id, - plugin_unique_identifier=plugin_unique_identifier, - name=name, - settings=settings, - ) - } + try: + return { + "success": EndpointService.create_endpoint( + tenant_id=user.current_tenant_id, + user_id=user.id, + plugin_unique_identifier=plugin_unique_identifier, + name=name, + settings=settings, + ) + } + except PluginPermissionDeniedError as e: + raise ValueError(e.description) from e class EndpointListApi(Resource): diff --git a/api/controllers/console/workspace/plugin.py b/api/controllers/console/workspace/plugin.py index 302bc30905..6f9ae18750 100644 --- a/api/controllers/console/workspace/plugin.py +++ b/api/controllers/console/workspace/plugin.py @@ -10,7 +10,7 @@ from controllers.console import api from controllers.console.workspace import plugin_permission_required from controllers.console.wraps import account_initialization_required, setup_required from core.model_runtime.utils.encoders import jsonable_encoder -from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.impl.exc import PluginDaemonClientSideError from libs.login import login_required from models.account import TenantPluginPermission from services.plugin.plugin_permission_service import PluginPermissionService @@ -249,6 +249,31 @@ class PluginInstallFromMarketplaceApi(Resource): return jsonable_encoder(response) +class PluginFetchMarketplacePkgApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def get(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args") + args = parser.parse_args() + + try: + return jsonable_encoder( + { + "manifest": PluginService.fetch_marketplace_pkg( + tenant_id, + args["plugin_unique_identifier"], + ) + } + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + class PluginFetchManifestApi(Resource): @setup_required @login_required @@ -488,6 +513,7 @@ api.add_resource(PluginDeleteInstallTaskApi, "/workspaces/current/plugin/tasks/< api.add_resource(PluginDeleteAllInstallTaskItemsApi, "/workspaces/current/plugin/tasks/delete_all") api.add_resource(PluginDeleteInstallTaskItemApi, "/workspaces/current/plugin/tasks//delete/") api.add_resource(PluginUninstallApi, "/workspaces/current/plugin/uninstall") +api.add_resource(PluginFetchMarketplacePkgApi, "/workspaces/current/plugin/marketplace/pkg") api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change") api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch") diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py index 6caaae87f4..6911181d82 100644 --- a/api/controllers/console/wraps.py +++ b/api/controllers/console/wraps.py @@ -10,6 +10,7 @@ from configs import dify_config from controllers.console.workspace.error import AccountNotInitializedError from extensions.ext_database import db from extensions.ext_redis import redis_client +from models.account import AccountStatus from models.dataset import RateLimitLog from models.model import DifySetup from services.feature_service import FeatureService, LicenseStatus @@ -24,7 +25,7 @@ def account_initialization_required(view): # check account initialization account = current_user - if account.status == "uninitialized": + if account.status == AccountStatus.UNINITIALIZED: raise AccountNotInitializedError() return view(*args, **kwargs) @@ -210,3 +211,16 @@ def enterprise_license_required(view): return view(*args, **kwargs) return decorated + + +def email_password_login_enabled(view): + @wraps(view) + def decorated(*args, **kwargs): + features = FeatureService.get_system_features() + if features.enable_email_password_login: + return view(*args, **kwargs) + + # otherwise, return 403 + abort(403) + + return decorated diff --git a/api/controllers/files/image_preview.py b/api/controllers/files/image_preview.py index 5adfe16a79..9199069585 100644 --- a/api/controllers/files/image_preview.py +++ b/api/controllers/files/image_preview.py @@ -70,12 +70,26 @@ class FilePreviewApi(Resource): direct_passthrough=True, headers={}, ) + # add Accept-Ranges header for audio/video files + if upload_file.mime_type in [ + "audio/mpeg", + "audio/wav", + "audio/mp4", + "audio/ogg", + "audio/flac", + "audio/aac", + "video/mp4", + "video/webm", + "video/quicktime", + "audio/x-m4a", + ]: + response.headers["Accept-Ranges"] = "bytes" if upload_file.size > 0: response.headers["Content-Length"] = str(upload_file.size) if args["as_attachment"]: encoded_filename = quote(upload_file.name) response.headers["Content-Disposition"] = f"attachment; filename*=UTF-8''{encoded_filename}" - response.headers["Content-Type"] = "application/octet-stream" + response.headers["Content-Type"] = "application/octet-stream" return response diff --git a/api/controllers/files/upload.py b/api/controllers/files/upload.py index ca5ea54435..28ee0eecf4 100644 --- a/api/controllers/files/upload.py +++ b/api/controllers/files/upload.py @@ -1,3 +1,5 @@ +from mimetypes import guess_extension + from flask import request from flask_restful import Resource, marshal_with # type: ignore from werkzeug.exceptions import Forbidden @@ -9,8 +11,8 @@ from controllers.files.error import UnsupportedFileTypeError from controllers.inner_api.plugin.wraps import get_user from controllers.service_api.app.error import FileTooLargeError from core.file.helpers import verify_plugin_file_signature +from core.tools.tool_file_manager import ToolFileManager from fields.file_fields import file_fields -from services.file_service import FileService class PluginUploadFileApi(Resource): @@ -51,19 +53,26 @@ class PluginUploadFileApi(Resource): raise Forbidden("Invalid request.") try: - upload_file = FileService.upload_file( - filename=filename, - content=file.read(), + tool_file = ToolFileManager.create_file_by_raw( + user_id=user.id, + tenant_id=tenant_id, + file_binary=file.read(), mimetype=mimetype, - user=user, - source=None, + filename=filename, + conversation_id=None, ) + + 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 except services.errors.file.FileTooLargeError as file_too_large_error: raise FileTooLargeError(file_too_large_error.description) except services.errors.file.UnsupportedFileTypeError: raise UnsupportedFileTypeError() - return upload_file, 201 + return tool_file, 201 api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin") diff --git a/api/controllers/inner_api/plugin/plugin.py b/api/controllers/inner_api/plugin/plugin.py index fe892922e9..061ad62a4a 100644 --- a/api/controllers/inner_api/plugin/plugin.py +++ b/api/controllers/inner_api/plugin/plugin.py @@ -13,6 +13,7 @@ from core.plugin.backwards_invocation.model import PluginModelBackwardsInvocatio from core.plugin.backwards_invocation.node import PluginNodeBackwardsInvocation from core.plugin.backwards_invocation.tool import PluginToolBackwardsInvocation from core.plugin.entities.request import ( + RequestFetchAppInfo, RequestInvokeApp, RequestInvokeEncrypt, RequestInvokeLLM, @@ -278,6 +279,17 @@ class PluginUploadFileRequestApi(Resource): return BaseBackwardsInvocationResponse(data={"url": url}).model_dump() +class PluginFetchAppInfoApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestFetchAppInfo) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestFetchAppInfo): + return BaseBackwardsInvocationResponse( + data=PluginAppBackwardsInvocation.fetch_app_info(payload.app_id, tenant_model.id) + ).model_dump() + + api.add_resource(PluginInvokeLLMApi, "/invoke/llm") api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding") api.add_resource(PluginInvokeRerankApi, "/invoke/rerank") @@ -291,3 +303,4 @@ api.add_resource(PluginInvokeAppApi, "/invoke/app") api.add_resource(PluginInvokeEncryptApi, "/invoke/encrypt") api.add_resource(PluginInvokeSummaryApi, "/invoke/summary") api.add_resource(PluginUploadFileRequestApi, "/upload/file/request") +api.add_resource(PluginFetchAppInfoApi, "/fetch/app/info") diff --git a/api/controllers/service_api/app/annotation.py b/api/controllers/service_api/app/annotation.py index cffa3665b1..c50f551faf 100644 --- a/api/controllers/service_api/app/annotation.py +++ b/api/controllers/service_api/app/annotation.py @@ -79,7 +79,7 @@ class AnnotationListApi(Resource): class AnnotationUpdateDeleteApi(Resource): @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) @marshal_with(annotation_fields) - def post(self, app_model: App, end_user: EndUser, annotation_id): + def put(self, app_model: App, end_user: EndUser, annotation_id): if not current_user.is_editor: raise Forbidden() @@ -98,7 +98,7 @@ class AnnotationUpdateDeleteApi(Resource): annotation_id = str(annotation_id) AppAnnotationService.delete_app_annotation(app_model.id, annotation_id) - return {"result": "success"}, 200 + return {"result": "success"}, 204 api.add_resource(AnnotationReplyActionApi, "/apps/annotation-reply/") diff --git a/api/controllers/service_api/app/app.py b/api/controllers/service_api/app/app.py index 8388e2045d..7131e8a310 100644 --- a/api/controllers/service_api/app/app.py +++ b/api/controllers/service_api/app/app.py @@ -1,10 +1,10 @@ from flask_restful import Resource, marshal_with # type: ignore from controllers.common import fields -from controllers.common import helpers as controller_helpers from controllers.service_api import api from controllers.service_api.app.error import AppUnavailableError from controllers.service_api.wraps import validate_app_token +from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict from models.model import App, AppMode from services.app_service import AppService @@ -32,9 +32,7 @@ class AppParameterApi(Resource): user_input_form = features_dict.get("user_input_form", []) - return controller_helpers.get_parameters_from_feature_dict( - features_dict=features_dict, user_input_form=user_input_form - ) + return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form) class AppMetaApi(Resource): diff --git a/api/controllers/service_api/app/conversation.py b/api/controllers/service_api/app/conversation.py index 334f2c5620..dfc357e1ab 100644 --- a/api/controllers/service_api/app/conversation.py +++ b/api/controllers/service_api/app/conversation.py @@ -14,6 +14,9 @@ from fields.conversation_fields import ( conversation_infinite_scroll_pagination_fields, simple_conversation_fields, ) +from fields.conversation_variable_fields import ( + conversation_variable_infinite_scroll_pagination_fields, +) from libs.helper import uuid_value from models.model import App, AppMode, EndUser from services.conversation_service import ConversationService @@ -69,7 +72,7 @@ class ConversationDetailApi(Resource): ConversationService.delete(app_model, conversation_id, end_user) except services.errors.conversation.ConversationNotExistsError: raise NotFound("Conversation Not Exists.") - return {"result": "success"}, 200 + return {"result": "success"}, 204 class ConversationRenameApi(Resource): @@ -93,6 +96,31 @@ class ConversationRenameApi(Resource): raise NotFound("Conversation Not Exists.") +class ConversationVariablesApi(Resource): + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) + @marshal_with(conversation_variable_infinite_scroll_pagination_fields) + def get(self, app_model: App, end_user: EndUser, c_id): + # conversational variable only for chat app + app_mode = AppMode.value_of(app_model.mode) + if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}: + raise NotChatAppError() + + conversation_id = str(c_id) + + parser = reqparse.RequestParser() + parser.add_argument("last_id", type=uuid_value, location="args") + parser.add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args") + args = parser.parse_args() + + try: + return ConversationService.get_conversational_variable( + app_model, conversation_id, end_user, args["limit"], args["last_id"] + ) + except services.errors.conversation.ConversationNotExistsError: + raise NotFound("Conversation Not Exists.") + + api.add_resource(ConversationRenameApi, "/conversations//name", endpoint="conversation_name") api.add_resource(ConversationApi, "/conversations") api.add_resource(ConversationDetailApi, "/conversations/", endpoint="conversation_detail") +api.add_resource(ConversationVariablesApi, "/conversations//variables", endpoint="conversation_variables") diff --git a/api/controllers/service_api/app/workflow.py b/api/controllers/service_api/app/workflow.py index 2854a43505..ca3e35aab8 100644 --- a/api/controllers/service_api/app/workflow.py +++ b/api/controllers/service_api/app/workflow.py @@ -1,6 +1,6 @@ import logging -from datetime import datetime +from dateutil.parser import isoparse from flask_restful import Resource, fields, marshal_with, reqparse # type: ignore from flask_restful.inputs import int_range # type: ignore from sqlalchemy.orm import Session @@ -59,7 +59,7 @@ class WorkflowRunDetailApi(Resource): Get a workflow task running detail """ app_mode = AppMode.value_of(app_model.mode) - if app_mode != AppMode.WORKFLOW: + if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]: raise NotWorkflowAppError() workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == workflow_run_id).first() @@ -140,10 +140,10 @@ class WorkflowAppLogApi(Resource): args.status = WorkflowRunStatus(args.status) if args.status else None if args.created_at__before: - args.created_at__before = datetime.fromisoformat(args.created_at__before.replace("Z", "+00:00")) + args.created_at__before = isoparse(args.created_at__before) if args.created_at__after: - args.created_at__after = datetime.fromisoformat(args.created_at__after.replace("Z", "+00:00")) + args.created_at__after = isoparse(args.created_at__after) # get paginate workflow app logs workflow_app_service = WorkflowAppService() diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index 8d470b8991..e1e6f3168f 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -13,6 +13,7 @@ from fields.dataset_fields import dataset_detail_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 def _validate_name(name): @@ -120,8 +121,11 @@ class DatasetListApi(DatasetApiResource): nullable=True, required=False, ) - args = parser.parse_args() + parser.add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json") + parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json") + parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json") + args = parser.parse_args() try: dataset = DatasetService.create_empty_dataset( tenant_id=tenant_id, @@ -133,6 +137,11 @@ class DatasetListApi(DatasetApiResource): provider=args["provider"], external_knowledge_api_id=args["external_knowledge_api_id"], external_knowledge_id=args["external_knowledge_id"], + embedding_model_provider=args["embedding_model_provider"], + embedding_model_name=args["embedding_model"], + retrieval_model=RetrievalModel(**args["retrieval_model"]) + if args["retrieval_model"] is not None + else None, ) except services.errors.dataset.DatasetNameDuplicateError: raise DatasetNameDuplicateError() diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index 4cc92847fe..9e943e2b2d 100644 --- a/api/controllers/service_api/dataset/document.py +++ b/api/controllers/service_api/dataset/document.py @@ -49,7 +49,9 @@ class DocumentAddByTextApi(DatasetApiResource): parser.add_argument( "indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json" ) - parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json") + parser.add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json") + parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json") + parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json") args = parser.parse_args() dataset_id = str(dataset_id) @@ -57,7 +59,7 @@ class DocumentAddByTextApi(DatasetApiResource): dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset is not exist.") + raise ValueError("Dataset does not exist.") if not dataset.indexing_technique and not args["indexing_technique"]: raise ValueError("indexing_technique is required.") @@ -114,7 +116,7 @@ class DocumentUpdateByTextApi(DatasetApiResource): dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset is not exist.") + raise ValueError("Dataset does not exist.") # indexing_technique is already set in dataset since this is an update args["indexing_technique"] = dataset.indexing_technique @@ -172,7 +174,7 @@ class DocumentAddByFileApi(DatasetApiResource): dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset is not exist.") + raise ValueError("Dataset does not exist.") if not dataset.indexing_technique and not args.get("indexing_technique"): raise ValueError("indexing_technique is required.") @@ -239,7 +241,7 @@ class DocumentUpdateByFileApi(DatasetApiResource): dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset is not exist.") + raise ValueError("Dataset does not exist.") # indexing_technique is already set in dataset since this is an update args["indexing_technique"] = dataset.indexing_technique @@ -303,7 +305,7 @@ class DocumentDeleteApi(DatasetApiResource): dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset is not exist.") + raise ValueError("Dataset does not exist.") document = DocumentService.get_document(dataset.id, document_id) @@ -321,7 +323,7 @@ class DocumentDeleteApi(DatasetApiResource): except services.errors.document.DocumentIndexingError: raise DocumentIndexingError("Cannot delete document during indexing.") - return {"result": "success"}, 200 + return {"result": "success"}, 204 class DocumentListApi(DatasetApiResource): diff --git a/api/controllers/service_api/dataset/metadata.py b/api/controllers/service_api/dataset/metadata.py index 9ba94bdbbf..35578eae54 100644 --- a/api/controllers/service_api/dataset/metadata.py +++ b/api/controllers/service_api/dataset/metadata.py @@ -13,18 +13,6 @@ from services.entities.knowledge_entities.knowledge_entities import ( from services.metadata_service import MetadataService -def _validate_name(name): - if not name or len(name) < 1 or len(name) > 40: - raise ValueError("Name must be between 1 to 40 characters.") - return name - - -def _validate_description_length(description): - if len(description) > 400: - raise ValueError("Description cannot exceed 400 characters.") - return description - - class DatasetMetadataCreateServiceApi(DatasetApiResource): def post(self, tenant_id, dataset_id): parser = reqparse.RequestParser() @@ -75,7 +63,7 @@ class DatasetMetadataServiceApi(DatasetApiResource): DatasetService.check_dataset_permission(dataset, current_user) MetadataService.delete_metadata(dataset_id_str, metadata_id_str) - return 200 + return 204 class DatasetMetadataBuiltInFieldServiceApi(DatasetApiResource): diff --git a/api/controllers/service_api/dataset/segment.py b/api/controllers/service_api/dataset/segment.py index 81bae2940d..95753cfd67 100644 --- a/api/controllers/service_api/dataset/segment.py +++ b/api/controllers/service_api/dataset/segment.py @@ -117,14 +117,13 @@ class SegmentApi(DatasetApiResource): parser.add_argument("keyword", type=str, default=None, location="args") args = parser.parse_args() - status_list = args["status"] - keyword = args["keyword"] - segments, total = SegmentService.get_segments( document_id=document_id, tenant_id=current_user.current_tenant_id, status_list=args["status"], keyword=args["keyword"], + page=page, + limit=limit, ) response = { @@ -160,7 +159,7 @@ class DatasetSegmentApi(DatasetApiResource): if not segment: raise NotFound("Segment not found.") SegmentService.delete_segment(segment, document, dataset) - return {"result": "success"}, 200 + return {"result": "success"}, 204 @cloud_edition_billing_resource_check("vector_space", "dataset") def post(self, tenant_id, dataset_id, document_id, segment_id): @@ -345,7 +344,7 @@ class DatasetChildChunkApi(DatasetApiResource): except ChildChunkDeleteIndexServiceError as e: raise ChildChunkDeleteIndexError(str(e)) - return {"result": "success"}, 200 + return {"result": "success"}, 204 @cloud_edition_billing_resource_check("vector_space", "dataset") @cloud_edition_billing_knowledge_limit_check("add_segment", "dataset") diff --git a/api/controllers/web/app.py b/api/controllers/web/app.py index 20e071c834..a84b846112 100644 --- a/api/controllers/web/app.py +++ b/api/controllers/web/app.py @@ -1,10 +1,10 @@ from flask_restful import marshal_with # type: ignore from controllers.common import fields -from controllers.common import helpers as controller_helpers from controllers.web import api from controllers.web.error import AppUnavailableError from controllers.web.wraps import WebApiResource +from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict from models.model import App, AppMode from services.app_service import AppService @@ -31,9 +31,7 @@ class AppParameterApi(WebApiResource): user_input_form = features_dict.get("user_input_form", []) - return controller_helpers.get_parameters_from_feature_dict( - features_dict=features_dict, user_input_form=user_input_form - ) + return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form) class AppMeta(WebApiResource): diff --git a/api/controllers/web/message.py b/api/controllers/web/message.py index 494b357d46..17e9a3990f 100644 --- a/api/controllers/web/message.py +++ b/api/controllers/web/message.py @@ -46,6 +46,7 @@ class MessageListApi(WebApiResource): "retriever_resources": fields.List(fields.Nested(retriever_resource_fields)), "created_at": TimestampField, "agent_thoughts": fields.List(fields.Nested(agent_thought_fields)), + "metadata": fields.Raw(attribute="message_metadata_dict"), "status": fields.String, "error": fields.String, } diff --git a/api/controllers/web/saved_message.py b/api/controllers/web/saved_message.py index 6a9b818907..ab2d4abcd3 100644 --- a/api/controllers/web/saved_message.py +++ b/api/controllers/web/saved_message.py @@ -67,7 +67,7 @@ class SavedMessageApi(WebApiResource): SavedMessageService.delete(app_model, end_user, message_id) - return {"result": "success"} + return {"result": "success"}, 204 api.add_resource(SavedMessageListApi, "/saved-messages") diff --git a/api/core/agent/base_agent_runner.py b/api/core/agent/base_agent_runner.py index 48c92ea2db..e648613605 100644 --- a/api/core/agent/base_agent_runner.py +++ b/api/core/agent/base_agent_runner.py @@ -21,14 +21,13 @@ from core.model_runtime.entities import ( AssistantPromptMessage, LLMUsage, PromptMessage, - PromptMessageContent, PromptMessageTool, SystemPromptMessage, TextPromptMessageContent, ToolPromptMessage, UserPromptMessage, ) -from core.model_runtime.entities.message_entities import ImagePromptMessageContent +from core.model_runtime.entities.message_entities import ImagePromptMessageContent, PromptMessageContentUnionTypes from core.model_runtime.entities.model_entities import ModelFeature from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.prompt.utils.extract_thread_messages import extract_thread_messages @@ -501,7 +500,7 @@ class BaseAgentRunner(AppRunner): ) if not file_objs: return UserPromptMessage(content=message.query) - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=message.query)) for file in file_objs: prompt_message_contents.append( diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py index ae70ff2bf1..de3b7e1ad7 100644 --- a/api/core/agent/cot_agent_runner.py +++ b/api/core/agent/cot_agent_runner.py @@ -69,6 +69,13 @@ class CotAgentRunner(BaseAgentRunner, ABC): tool_instances, prompt_messages_tools = self._init_prompt_tools() self._prompt_messages_tools = prompt_messages_tools + # fix metadata filter not work + if app_config.dataset is not None: + metadata_filtering_conditions = app_config.dataset.retrieve_config.metadata_filtering_conditions + for key, dataset_retriever_tool in tool_instances.items(): + if hasattr(dataset_retriever_tool, "retrieval_tool"): + dataset_retriever_tool.retrieval_tool.metadata_filtering_conditions = metadata_filtering_conditions + function_call_state = True llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None} final_answer = "" @@ -191,7 +198,7 @@ class CotAgentRunner(BaseAgentRunner, ABC): # action is final answer, return final answer directly try: if isinstance(scratchpad.action.action_input, dict): - final_answer = json.dumps(scratchpad.action.action_input) + final_answer = json.dumps(scratchpad.action.action_input, ensure_ascii=False) elif isinstance(scratchpad.action.action_input, str): final_answer = scratchpad.action.action_input else: diff --git a/api/core/agent/cot_chat_agent_runner.py b/api/core/agent/cot_chat_agent_runner.py index 7d407a4976..5ff89bdacb 100644 --- a/api/core/agent/cot_chat_agent_runner.py +++ b/api/core/agent/cot_chat_agent_runner.py @@ -5,12 +5,11 @@ from core.file import file_manager from core.model_runtime.entities import ( AssistantPromptMessage, PromptMessage, - PromptMessageContent, SystemPromptMessage, TextPromptMessageContent, UserPromptMessage, ) -from core.model_runtime.entities.message_entities import ImagePromptMessageContent +from core.model_runtime.entities.message_entities import ImagePromptMessageContent, PromptMessageContentUnionTypes from core.model_runtime.utils.encoders import jsonable_encoder @@ -40,7 +39,7 @@ class CotChatAgentRunner(CotAgentRunner): Organize user query """ if self.files: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=query)) # get image detail config diff --git a/api/core/agent/fc_agent_runner.py b/api/core/agent/fc_agent_runner.py index f45fa5c66e..874bd6b93b 100644 --- a/api/core/agent/fc_agent_runner.py +++ b/api/core/agent/fc_agent_runner.py @@ -15,14 +15,13 @@ from core.model_runtime.entities import ( LLMResultChunkDelta, LLMUsage, PromptMessage, - PromptMessageContent, PromptMessageContentType, SystemPromptMessage, TextPromptMessageContent, ToolPromptMessage, UserPromptMessage, ) -from core.model_runtime.entities.message_entities import ImagePromptMessageContent +from core.model_runtime.entities.message_entities import ImagePromptMessageContent, PromptMessageContentUnionTypes from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform from core.tools.entities.tool_entities import ToolInvokeMeta from core.tools.tool_engine import ToolEngine @@ -46,6 +45,13 @@ class FunctionCallAgentRunner(BaseAgentRunner): # convert tools into ModelRuntime Tool format tool_instances, prompt_messages_tools = self._init_prompt_tools() + # fix metadata filter not work + if app_config.dataset is not None: + metadata_filtering_conditions = app_config.dataset.retrieve_config.metadata_filtering_conditions + for key, dataset_retriever_tool in tool_instances.items(): + if hasattr(dataset_retriever_tool, "retrieval_tool"): + dataset_retriever_tool.retrieval_tool.metadata_filtering_conditions = metadata_filtering_conditions + assert app_config.agent iteration_step = 1 @@ -395,7 +401,7 @@ class FunctionCallAgentRunner(BaseAgentRunner): Organize user query """ if self.files: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=query)) # get image detail config diff --git a/api/core/agent/plugin_entities.py b/api/core/agent/plugin_entities.py index 6cf3975333..9c722baa23 100644 --- a/api/core/agent/plugin_entities.py +++ b/api/core/agent/plugin_entities.py @@ -52,6 +52,7 @@ class AgentStrategyParameter(PluginParameter): return cast_parameter_value(self, value) type: AgentStrategyParameterType = Field(..., description="The type of the parameter") + help: Optional[I18nObject] = None def init_frontend_parameter(self, value: Any): return init_frontend_parameter(self, self.type, value) diff --git a/api/core/agent/prompt/template.py b/api/core/agent/prompt/template.py index ef64fd29fc..f5ba2119f4 100644 --- a/api/core/agent/prompt/template.py +++ b/api/core/agent/prompt/template.py @@ -1,4 +1,4 @@ -ENGLISH_REACT_COMPLETION_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. +ENGLISH_REACT_COMPLETION_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. {{instruction}} @@ -47,7 +47,7 @@ Thought:""" # noqa: E501 ENGLISH_REACT_COMPLETION_AGENT_SCRATCHPAD_TEMPLATES = """Observation: {{observation}} Thought:""" -ENGLISH_REACT_CHAT_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. +ENGLISH_REACT_CHAT_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. {{instruction}} diff --git a/api/core/agent/strategy/plugin.py b/api/core/agent/strategy/plugin.py index a4b25f46e6..79b074cf95 100644 --- a/api/core/agent/strategy/plugin.py +++ b/api/core/agent/strategy/plugin.py @@ -4,7 +4,7 @@ from typing import Any, Optional from core.agent.entities import AgentInvokeMessage from core.agent.plugin_entities import AgentStrategyEntity, AgentStrategyParameter from core.agent.strategy.base import BaseAgentStrategy -from core.plugin.manager.agent import PluginAgentManager +from core.plugin.impl.agent import PluginAgentClient from core.plugin.utils.converter import convert_parameters_to_plugin_format @@ -42,7 +42,7 @@ class PluginAgentStrategy(BaseAgentStrategy): """ Invoke the agent strategy. """ - manager = PluginAgentManager() + manager = PluginAgentClient() initialized_params = self.initialize_parameters(params) params = convert_parameters_to_plugin_format(initialized_params) diff --git a/api/core/app/app_config/common/parameters_mapping/__init__.py b/api/core/app/app_config/common/parameters_mapping/__init__.py new file mode 100644 index 0000000000..6f1a3bf045 --- /dev/null +++ b/api/core/app/app_config/common/parameters_mapping/__init__.py @@ -0,0 +1,45 @@ +from collections.abc import Mapping +from typing import Any + +from configs import dify_config +from constants import DEFAULT_FILE_NUMBER_LIMITS + + +def get_parameters_from_feature_dict( + *, features_dict: Mapping[str, Any], user_input_form: list[dict[str, Any]] +) -> Mapping[str, Any]: + """ + Mapping from feature dict to webapp parameters + """ + return { + "opening_statement": features_dict.get("opening_statement"), + "suggested_questions": features_dict.get("suggested_questions", []), + "suggested_questions_after_answer": features_dict.get("suggested_questions_after_answer", {"enabled": False}), + "speech_to_text": features_dict.get("speech_to_text", {"enabled": False}), + "text_to_speech": features_dict.get("text_to_speech", {"enabled": False}), + "retriever_resource": features_dict.get("retriever_resource", {"enabled": False}), + "annotation_reply": features_dict.get("annotation_reply", {"enabled": False}), + "more_like_this": features_dict.get("more_like_this", {"enabled": False}), + "user_input_form": user_input_form, + "sensitive_word_avoidance": features_dict.get( + "sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []} + ), + "file_upload": features_dict.get( + "file_upload", + { + "image": { + "enabled": False, + "number_limits": DEFAULT_FILE_NUMBER_LIMITS, + "detail": "high", + "transfer_methods": ["remote_url", "local_file"], + } + }, + ), + "system_parameters": { + "image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT, + "video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT, + "audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT, + "file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT, + "workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT, + }, + } diff --git a/api/core/app/app_config/features/file_upload/manager.py b/api/core/app/app_config/features/file_upload/manager.py index bcc69e8ec6..40b6c19214 100644 --- a/api/core/app/app_config/features/file_upload/manager.py +++ b/api/core/app/app_config/features/file_upload/manager.py @@ -1,6 +1,7 @@ from collections.abc import Mapping from typing import Any +from constants import DEFAULT_FILE_NUMBER_LIMITS from core.file import FileUploadConfig @@ -18,7 +19,7 @@ class FileUploadConfigManager: if file_upload_dict.get("enabled"): transform_methods = file_upload_dict.get("allowed_file_upload_methods", []) file_upload_dict["image_config"] = { - "number_limits": file_upload_dict.get("number_limits", 1), + "number_limits": file_upload_dict.get("number_limits", DEFAULT_FILE_NUMBER_LIMITS), "transfer_methods": transform_methods, } diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index ef582d28e0..fd0d7fafbd 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -7,6 +7,7 @@ from typing import Any, Literal, Optional, Union, overload from flask import Flask, current_app from pydantic import ValidationError +from sqlalchemy.orm import sessionmaker import contexts from configs import dify_config @@ -24,6 +25,8 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotA 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.workflow.repository import RepositoryFactory +from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository from extensions.ext_database import db from factories import file_factory from models.account import Account @@ -158,11 +161,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( workflow=workflow, user=user, invoke_from=invoke_from, application_generate_entity=application_generate_entity, + workflow_node_execution_repository=workflow_node_execution_repository, conversation=conversation, stream=streaming, ) @@ -215,11 +229,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( workflow=workflow, user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, ) @@ -270,11 +295,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( workflow=workflow, user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_node_execution_repository=workflow_node_execution_repository, conversation=None, stream=streaming, ) @@ -286,6 +322,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user: Union[Account, EndUser], invoke_from: InvokeFrom, application_generate_entity: AdvancedChatAppGenerateEntity, + workflow_node_execution_repository: WorkflowNodeExecutionRepository, conversation: Optional[Conversation] = None, stream: bool = True, ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]: @@ -296,6 +333,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): :param user: account or end user :param invoke_from: invoke from source :param application_generate_entity: application generate entity + :param workflow_node_execution_repository: repository for workflow node execution :param conversation: conversation :param stream: is stream """ @@ -348,6 +386,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation=conversation, message=message, user=user, + workflow_node_execution_repository=workflow_node_execution_repository, stream=stream, ) @@ -419,6 +458,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): conversation: Conversation, message: Message, user: Union[Account, EndUser], + workflow_node_execution_repository: WorkflowNodeExecutionRepository, stream: bool = False, ) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]: """ @@ -430,6 +470,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): :param message: message :param user: account or end user :param stream: is stream + :param workflow_node_execution_repository: optional repository for workflow node execution :return: """ # init generate task pipeline @@ -442,6 +483,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): user=user, stream=stream, dialogue_count=self._dialogue_count, + workflow_node_execution_repository=workflow_node_execution_repository, ) try: 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 66f2c754bb..1f4db54a9c 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -65,6 +65,7 @@ from core.ops.ops_trace_manager import TraceQueueManager 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 events.message_event import message_was_created from extensions.ext_database import db from models import Conversation, EndUser, Message, MessageFile @@ -93,6 +94,7 @@ class AdvancedChatAppGenerateTaskPipeline: user: Union[Account, EndUser], stream: bool, dialogue_count: int, + workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: self._base_task_pipeline = BasedGenerateTaskPipeline( application_generate_entity=application_generate_entity, @@ -123,6 +125,7 @@ class AdvancedChatAppGenerateTaskPipeline: SystemVariableKey.WORKFLOW_ID: workflow.id, SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id, }, + workflow_node_execution_repository=workflow_node_execution_repository, ) self._task_state = WorkflowTaskState() @@ -320,10 +323,9 @@ class AdvancedChatAppGenerateTaskPipeline: session=session, workflow_run_id=self._workflow_run_id ) workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried( - session=session, workflow_run=workflow_run, event=event + workflow_run=workflow_run, event=event ) node_retry_resp = self._workflow_cycle_manager._workflow_node_retry_to_stream_response( - session=session, event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -341,11 +343,10 @@ class AdvancedChatAppGenerateTaskPipeline: session=session, workflow_run_id=self._workflow_run_id ) workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start( - session=session, workflow_run=workflow_run, event=event + workflow_run=workflow_run, event=event ) node_start_resp = self._workflow_cycle_manager._workflow_node_start_to_stream_response( - session=session, event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -363,11 +364,10 @@ class AdvancedChatAppGenerateTaskPipeline: with Session(db.engine, expire_on_commit=False) as session: workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success( - session=session, event=event + event=event ) node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( - session=session, event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -383,18 +383,15 @@ class AdvancedChatAppGenerateTaskPipeline: | QueueNodeInLoopFailedEvent | QueueNodeExceptionEvent, ): - with Session(db.engine, expire_on_commit=False) as session: - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed( - session=session, event=event - ) + 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( - session=session, - event=event, - task_id=self._application_generate_entity.task_id, - workflow_node_execution=workflow_node_execution, - ) - session.commit() + node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + event=event, + task_id=self._application_generate_entity.task_id, + workflow_node_execution=workflow_node_execution, + ) if node_finish_resp: yield node_finish_resp @@ -690,7 +687,9 @@ class AdvancedChatAppGenerateTaskPipeline: ) elif isinstance(event, QueueMessageReplaceEvent): # published by moderation - yield self._message_cycle_manager._message_replace_to_stream_response(answer=event.text) + yield self._message_cycle_manager._message_replace_to_stream_response( + answer=event.text, reason=event.reason + ) elif isinstance(event, QueueAdvancedChatMessageEndEvent): if not graph_runtime_state: raise ValueError("graph runtime state not initialized.") @@ -701,7 +700,8 @@ class AdvancedChatAppGenerateTaskPipeline: if output_moderation_answer: self._task_state.answer = output_moderation_answer yield self._message_cycle_manager._message_replace_to_stream_response( - answer=output_moderation_answer + answer=output_moderation_answer, + reason=QueueMessageReplaceEvent.MessageReplaceReason.OUTPUT_MODERATION, ) # Save message diff --git a/api/core/app/apps/base_app_generator.py b/api/core/app/apps/base_app_generator.py index 5d559b96d7..a83b75cc1a 100644 --- a/api/core/app/apps/base_app_generator.py +++ b/api/core/app/apps/base_app_generator.py @@ -17,6 +17,7 @@ class BaseAppGenerator: user_inputs: Optional[Mapping[str, Any]], variables: Sequence["VariableEntity"], tenant_id: str, + strict_type_validation: bool = False, ) -> Mapping[str, Any]: user_inputs = user_inputs or {} # Filter input variables from form configuration, handle required fields, default values, and option values @@ -37,6 +38,7 @@ class BaseAppGenerator: allowed_file_extensions=entity_dictionary[k].allowed_file_extensions, allowed_file_upload_methods=entity_dictionary[k].allowed_file_upload_methods, ), + strict_type_validation=strict_type_validation, ) for k, v in user_inputs.items() if isinstance(v, dict) and entity_dictionary[k].type == VariableEntityType.FILE diff --git a/api/core/app/apps/message_based_app_generator.py b/api/core/app/apps/message_based_app_generator.py index 64ec6ac0c4..995082b79d 100644 --- a/api/core/app/apps/message_based_app_generator.py +++ b/api/core/app/apps/message_based_app_generator.py @@ -153,6 +153,9 @@ class MessageBasedAppGenerator(BaseAppGenerator): query = application_generate_entity.query or "New conversation" else: query = next(iter(application_generate_entity.inputs.values()), "New conversation") + if isinstance(query, int): + query = str(query) + query = query or "New conversation" conversation_name = (query[:20] + "…") if len(query) > 20 else query if not conversation: diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index cc7bcdeee1..9c3d78a338 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -7,6 +7,7 @@ from typing import Any, Literal, Optional, Union, overload from flask import Flask, current_app from pydantic import ValidationError +from sqlalchemy.orm import sessionmaker import contexts from configs import dify_config @@ -22,6 +23,8 @@ from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerat 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.workflow.repository import RepositoryFactory +from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository from extensions.ext_database import db from factories import file_factory from models import Account, App, EndUser, Workflow @@ -92,6 +95,7 @@ class WorkflowAppGenerator(BaseAppGenerator): mappings=files, tenant_id=app_model.tenant_id, config=file_extra_config, + strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False, ) # convert to app config @@ -114,7 +118,10 @@ class WorkflowAppGenerator(BaseAppGenerator): app_config=app_config, file_upload_config=file_extra_config, inputs=self._prepare_user_inputs( - user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id + user_inputs=inputs, + variables=app_config.variables, + tenant_id=app_model.tenant_id, + strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False, ), files=list(system_files), user_id=user.id, @@ -129,12 +136,23 @@ class WorkflowAppGenerator(BaseAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( app_model=app_model, workflow=workflow, user=user, application_generate_entity=application_generate_entity, invoke_from=invoke_from, + workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, workflow_thread_pool_id=workflow_thread_pool_id, ) @@ -147,6 +165,7 @@ class WorkflowAppGenerator(BaseAppGenerator): user: Union[Account, EndUser], application_generate_entity: WorkflowAppGenerateEntity, invoke_from: InvokeFrom, + workflow_node_execution_repository: WorkflowNodeExecutionRepository, streaming: bool = True, workflow_thread_pool_id: Optional[str] = None, ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: @@ -158,6 +177,7 @@ class WorkflowAppGenerator(BaseAppGenerator): :param user: account or end user :param application_generate_entity: application generate entity :param invoke_from: invoke from source + :param workflow_node_execution_repository: repository for workflow node execution :param streaming: is stream :param workflow_thread_pool_id: workflow thread pool id """ @@ -189,6 +209,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow=workflow, queue_manager=queue_manager, user=user, + workflow_node_execution_repository=workflow_node_execution_repository, stream=streaming, ) @@ -241,12 +262,23 @@ class WorkflowAppGenerator(BaseAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( app_model=app_model, workflow=workflow, user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, ) @@ -295,12 +327,23 @@ class WorkflowAppGenerator(BaseAppGenerator): contexts.plugin_tool_providers.set({}) contexts.plugin_tool_providers_lock.set(threading.Lock()) + # Create workflow node execution repository + session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": application_generate_entity.app_config.tenant_id, + "app_id": application_generate_entity.app_config.app_id, + "session_factory": session_factory, + } + ) + return self._generate( app_model=app_model, workflow=workflow, user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, + workflow_node_execution_repository=workflow_node_execution_repository, streaming=streaming, ) @@ -357,6 +400,7 @@ class WorkflowAppGenerator(BaseAppGenerator): workflow: Workflow, queue_manager: AppQueueManager, user: Union[Account, EndUser], + workflow_node_execution_repository: WorkflowNodeExecutionRepository, stream: bool = False, ) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]: """ @@ -366,6 +410,7 @@ class WorkflowAppGenerator(BaseAppGenerator): :param queue_manager: queue manager :param user: account or end user :param stream: is stream + :param workflow_node_execution_repository: optional repository for workflow node execution :return: """ # init generate task pipeline @@ -375,6 +420,7 @@ class WorkflowAppGenerator(BaseAppGenerator): queue_manager=queue_manager, user=user, stream=stream, + workflow_node_execution_repository=workflow_node_execution_repository, ) try: diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index 14441ada40..67cad9c998 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -55,6 +55,7 @@ from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTas from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage from core.ops.ops_trace_manager import TraceQueueManager from core.workflow.enums import SystemVariableKey +from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository from extensions.ext_database import db from models.account import Account from models.enums import CreatedByRole @@ -82,6 +83,7 @@ class WorkflowAppGenerateTaskPipeline: queue_manager: AppQueueManager, user: Union[Account, EndUser], stream: bool, + workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: self._base_task_pipeline = BasedGenerateTaskPipeline( application_generate_entity=application_generate_entity, @@ -109,6 +111,7 @@ class WorkflowAppGenerateTaskPipeline: SystemVariableKey.WORKFLOW_ID: workflow.id, SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id, }, + workflow_node_execution_repository=workflow_node_execution_repository, ) self._application_generate_entity = application_generate_entity @@ -279,10 +282,9 @@ class WorkflowAppGenerateTaskPipeline: session=session, workflow_run_id=self._workflow_run_id ) workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried( - session=session, workflow_run=workflow_run, event=event + workflow_run=workflow_run, event=event ) response = self._workflow_cycle_manager._workflow_node_retry_to_stream_response( - session=session, event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -300,10 +302,9 @@ class WorkflowAppGenerateTaskPipeline: session=session, workflow_run_id=self._workflow_run_id ) workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start( - session=session, workflow_run=workflow_run, event=event + workflow_run=workflow_run, event=event ) node_start_response = self._workflow_cycle_manager._workflow_node_start_to_stream_response( - session=session, event=event, task_id=self._application_generate_entity.task_id, workflow_node_execution=workflow_node_execution, @@ -313,17 +314,14 @@ class WorkflowAppGenerateTaskPipeline: if node_start_response: yield node_start_response elif isinstance(event, QueueNodeSucceededEvent): - with Session(db.engine, expire_on_commit=False) as session: - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success( - session=session, event=event - ) - node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( - session=session, - 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_workflow_node_execution_success( + event=event + ) + node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + event=event, + task_id=self._application_generate_entity.task_id, + workflow_node_execution=workflow_node_execution, + ) if node_success_response: yield node_success_response @@ -334,18 +332,14 @@ class WorkflowAppGenerateTaskPipeline: | QueueNodeInLoopFailedEvent | QueueNodeExceptionEvent, ): - with Session(db.engine, expire_on_commit=False) as session: - workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed( - session=session, - event=event, - ) - node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( - session=session, - 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_workflow_node_execution_failed( + event=event, + ) + node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response( + event=event, + task_id=self._application_generate_entity.task_id, + workflow_node_execution=workflow_node_execution, + ) if node_failed_response: yield node_failed_response @@ -627,6 +621,7 @@ class WorkflowAppGenerateTaskPipeline: workflow_app_log.created_by = self._user_id session.add(workflow_app_log) + session.commit() def _text_chunk_to_stream_response( self, text: str, from_variable_selector: Optional[list[str]] = None diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py index 3702326406..7228020e9b 100644 --- a/api/core/app/entities/queue_entities.py +++ b/api/core/app/entities/queue_entities.py @@ -264,8 +264,16 @@ class QueueMessageReplaceEvent(AppQueueEvent): QueueMessageReplaceEvent entity """ + class MessageReplaceReason(StrEnum): + """ + Reason for message replace event + """ + + OUTPUT_MODERATION = "output_moderation" + event: QueueEvent = QueueEvent.MESSAGE_REPLACE text: str + reason: str class QueueRetrieverResourcesEvent(AppQueueEvent): diff --git a/api/core/app/entities/task_entities.py b/api/core/app/entities/task_entities.py index f23ee1b9fd..817699bd20 100644 --- a/api/core/app/entities/task_entities.py +++ b/api/core/app/entities/task_entities.py @@ -148,6 +148,7 @@ class MessageReplaceStreamResponse(StreamResponse): event: StreamEvent = StreamEvent.MESSAGE_REPLACE answer: str + reason: str class AgentThoughtStreamResponse(StreamResponse): diff --git a/api/core/app/task_pipeline/based_generate_task_pipeline.py b/api/core/app/task_pipeline/based_generate_task_pipeline.py index a2e06d4e1f..5331c0cc94 100644 --- a/api/core/app/task_pipeline/based_generate_task_pipeline.py +++ b/api/core/app/task_pipeline/based_generate_task_pipeline.py @@ -126,12 +126,12 @@ class BasedGenerateTaskPipeline: if self._output_moderation_handler: self._output_moderation_handler.stop_thread() - completion = self._output_moderation_handler.moderation_completion( + completion, flagged = self._output_moderation_handler.moderation_completion( completion=completion, public_event=False ) self._output_moderation_handler = None - - return completion + if flagged: + return completion return None diff --git a/api/core/app/task_pipeline/message_cycle_manage.py b/api/core/app/task_pipeline/message_cycle_manage.py index 6223b33b67..fde506639f 100644 --- a/api/core/app/task_pipeline/message_cycle_manage.py +++ b/api/core/app/task_pipeline/message_cycle_manage.py @@ -182,10 +182,12 @@ class MessageCycleManage: from_variable_selector=from_variable_selector, ) - def _message_replace_to_stream_response(self, answer: str) -> MessageReplaceStreamResponse: + def _message_replace_to_stream_response(self, answer: str, reason: str = "") -> MessageReplaceStreamResponse: """ Message replace to stream response. :param answer: answer :return: """ - return MessageReplaceStreamResponse(task_id=self._application_generate_entity.task_id, answer=answer) + return MessageReplaceStreamResponse( + task_id=self._application_generate_entity.task_id, answer=answer, reason=reason + ) diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py index 4d629ca186..09e2ee74e6 100644 --- a/api/core/app/task_pipeline/workflow_cycle_manage.py +++ b/api/core/app/task_pipeline/workflow_cycle_manage.py @@ -54,6 +54,7 @@ from core.workflow.entities.node_entities import NodeRunMetadataKey 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.workflow_entry import WorkflowEntry from models.account import Account from models.enums import CreatedByRole, WorkflowRunTriggeredFrom @@ -74,11 +75,13 @@ class WorkflowCycleManage: *, application_generate_entity: Union[AdvancedChatAppGenerateEntity, WorkflowAppGenerateEntity], workflow_system_variables: dict[SystemVariableKey, Any], + workflow_node_execution_repository: WorkflowNodeExecutionRepository, ) -> None: self._workflow_run: WorkflowRun | None = None self._workflow_node_executions: dict[str, WorkflowNodeExecution] = {} self._application_generate_entity = application_generate_entity self._workflow_system_variables = workflow_system_variables + self._workflow_node_execution_repository = workflow_node_execution_repository def _handle_workflow_run_start( self, @@ -254,19 +257,15 @@ class WorkflowCycleManage: workflow_run.finished_at = datetime.now(UTC).replace(tzinfo=None) workflow_run.exceptions_count = exceptions_count - stmt = select(WorkflowNodeExecution.node_execution_id).where( - WorkflowNodeExecution.tenant_id == workflow_run.tenant_id, - WorkflowNodeExecution.app_id == workflow_run.app_id, - WorkflowNodeExecution.workflow_id == workflow_run.workflow_id, - WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN.value, - WorkflowNodeExecution.workflow_run_id == workflow_run.id, - WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING.value, + # Use the instance repository to find running executions for a workflow run + running_workflow_node_executions = self._workflow_node_execution_repository.get_running_executions( + workflow_run_id=workflow_run.id ) - ids = session.scalars(stmt).all() - # Use self._get_workflow_node_execution here to make sure the cache is updated - running_workflow_node_executions = [ - self._get_workflow_node_execution(session=session, node_execution_id=id) for id in ids if id - ] + + # Update the cache with the retrieved executions + for execution in running_workflow_node_executions: + if execution.node_execution_id: + self._workflow_node_executions[execution.node_execution_id] = execution for workflow_node_execution in running_workflow_node_executions: now = datetime.now(UTC).replace(tzinfo=None) @@ -288,7 +287,7 @@ class WorkflowCycleManage: return workflow_run def _handle_node_execution_start( - self, *, session: Session, workflow_run: WorkflowRun, event: QueueNodeStartedEvent + self, *, workflow_run: WorkflowRun, event: QueueNodeStartedEvent ) -> WorkflowNodeExecution: workflow_node_execution = WorkflowNodeExecution() workflow_node_execution.id = str(uuid4()) @@ -315,17 +314,14 @@ class WorkflowCycleManage: ) workflow_node_execution.created_at = datetime.now(UTC).replace(tzinfo=None) - session.add(workflow_node_execution) + # Use the instance repository to save the workflow node execution + self._workflow_node_execution_repository.save(workflow_node_execution) self._workflow_node_executions[event.node_execution_id] = workflow_node_execution return workflow_node_execution - def _handle_workflow_node_execution_success( - self, *, session: Session, event: QueueNodeSucceededEvent - ) -> WorkflowNodeExecution: - workflow_node_execution = self._get_workflow_node_execution( - session=session, node_execution_id=event.node_execution_id - ) + def _handle_workflow_node_execution_success(self, *, event: QueueNodeSucceededEvent) -> WorkflowNodeExecution: + workflow_node_execution = self._get_workflow_node_execution(node_execution_id=event.node_execution_id) inputs = WorkflowEntry.handle_special_values(event.inputs) process_data = WorkflowEntry.handle_special_values(event.process_data) outputs = WorkflowEntry.handle_special_values(event.outputs) @@ -344,13 +340,13 @@ class WorkflowCycleManage: workflow_node_execution.finished_at = finished_at workflow_node_execution.elapsed_time = elapsed_time - workflow_node_execution = session.merge(workflow_node_execution) + # Use the instance repository to update the workflow node execution + self._workflow_node_execution_repository.update(workflow_node_execution) return workflow_node_execution def _handle_workflow_node_execution_failed( self, *, - session: Session, event: QueueNodeFailedEvent | QueueNodeInIterationFailedEvent | QueueNodeInLoopFailedEvent @@ -361,9 +357,7 @@ class WorkflowCycleManage: :param event: queue node failed event :return: """ - workflow_node_execution = self._get_workflow_node_execution( - session=session, node_execution_id=event.node_execution_id - ) + workflow_node_execution = self._get_workflow_node_execution(node_execution_id=event.node_execution_id) inputs = WorkflowEntry.handle_special_values(event.inputs) process_data = WorkflowEntry.handle_special_values(event.process_data) @@ -387,14 +381,16 @@ class WorkflowCycleManage: workflow_node_execution.elapsed_time = elapsed_time workflow_node_execution.execution_metadata = execution_metadata - workflow_node_execution = session.merge(workflow_node_execution) + self._workflow_node_execution_repository.update(workflow_node_execution) + return workflow_node_execution def _handle_workflow_node_execution_retried( - self, *, session: Session, workflow_run: WorkflowRun, event: QueueNodeRetryEvent + self, *, workflow_run: WorkflowRun, event: QueueNodeRetryEvent ) -> WorkflowNodeExecution: """ Workflow node execution failed + :param workflow_run: workflow run :param event: queue node failed event :return: """ @@ -439,15 +435,12 @@ class WorkflowCycleManage: workflow_node_execution.execution_metadata = execution_metadata workflow_node_execution.index = event.node_run_index - session.add(workflow_node_execution) + # Use the instance repository to save the workflow node execution + self._workflow_node_execution_repository.save(workflow_node_execution) self._workflow_node_executions[event.node_execution_id] = workflow_node_execution return workflow_node_execution - ################################################# - # to stream responses # - ################################################# - def _workflow_start_to_stream_response( self, *, @@ -455,7 +448,6 @@ class WorkflowCycleManage: task_id: str, workflow_run: WorkflowRun, ) -> WorkflowStartStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return WorkflowStartStreamResponse( task_id=task_id, @@ -521,14 +513,10 @@ class WorkflowCycleManage: def _workflow_node_start_to_stream_response( self, *, - session: Session, event: QueueNodeStartedEvent, task_id: str, workflow_node_execution: WorkflowNodeExecution, ) -> Optional[NodeStartStreamResponse]: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this - _ = session - if workflow_node_execution.node_type in {NodeType.ITERATION.value, NodeType.LOOP.value}: return None if not workflow_node_execution.workflow_run_id: @@ -571,7 +559,6 @@ class WorkflowCycleManage: def _workflow_node_finish_to_stream_response( self, *, - session: Session, event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeInIterationFailedEvent @@ -580,8 +567,6 @@ class WorkflowCycleManage: task_id: str, workflow_node_execution: WorkflowNodeExecution, ) -> Optional[NodeFinishStreamResponse]: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this - _ = session if workflow_node_execution.node_type in {NodeType.ITERATION.value, NodeType.LOOP.value}: return None if not workflow_node_execution.workflow_run_id: @@ -621,13 +606,10 @@ class WorkflowCycleManage: def _workflow_node_retry_to_stream_response( self, *, - session: Session, event: QueueNodeRetryEvent, task_id: str, workflow_node_execution: WorkflowNodeExecution, ) -> Optional[Union[NodeRetryStreamResponse, NodeFinishStreamResponse]]: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this - _ = session if workflow_node_execution.node_type in {NodeType.ITERATION.value, NodeType.LOOP.value}: return None if not workflow_node_execution.workflow_run_id: @@ -668,7 +650,6 @@ class WorkflowCycleManage: def _workflow_parallel_branch_start_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueParallelBranchRunStartedEvent ) -> ParallelBranchStartStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return ParallelBranchStartStreamResponse( task_id=task_id, @@ -692,7 +673,6 @@ class WorkflowCycleManage: workflow_run: WorkflowRun, event: QueueParallelBranchRunSucceededEvent | QueueParallelBranchRunFailedEvent, ) -> ParallelBranchFinishedStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return ParallelBranchFinishedStreamResponse( task_id=task_id, @@ -713,7 +693,6 @@ class WorkflowCycleManage: def _workflow_iteration_start_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationStartEvent ) -> IterationNodeStartStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return IterationNodeStartStreamResponse( task_id=task_id, @@ -735,7 +714,6 @@ class WorkflowCycleManage: def _workflow_iteration_next_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationNextEvent ) -> IterationNodeNextStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return IterationNodeNextStreamResponse( task_id=task_id, @@ -759,7 +737,6 @@ class WorkflowCycleManage: def _workflow_iteration_completed_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueIterationCompletedEvent ) -> IterationNodeCompletedStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return IterationNodeCompletedStreamResponse( task_id=task_id, @@ -790,7 +767,6 @@ class WorkflowCycleManage: def _workflow_loop_start_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopStartEvent ) -> LoopNodeStartStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return LoopNodeStartStreamResponse( task_id=task_id, @@ -812,7 +788,6 @@ class WorkflowCycleManage: def _workflow_loop_next_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopNextEvent ) -> LoopNodeNextStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return LoopNodeNextStreamResponse( task_id=task_id, @@ -836,7 +811,6 @@ class WorkflowCycleManage: def _workflow_loop_completed_to_stream_response( self, *, session: Session, task_id: str, workflow_run: WorkflowRun, event: QueueLoopCompletedEvent ) -> LoopNodeCompletedStreamResponse: - # receive session to make sure the workflow_run won't be expired, need a more elegant way to handle this _ = session return LoopNodeCompletedStreamResponse( task_id=task_id, @@ -934,11 +908,22 @@ class WorkflowCycleManage: return workflow_run - def _get_workflow_node_execution(self, session: Session, node_execution_id: str) -> WorkflowNodeExecution: - if node_execution_id not in self._workflow_node_executions: + def _get_workflow_node_execution(self, node_execution_id: str) -> WorkflowNodeExecution: + # First check the cache for performance + if node_execution_id in self._workflow_node_executions: + cached_execution = self._workflow_node_executions[node_execution_id] + # No need to merge with session since expire_on_commit=False + return cached_execution + + # If not in cache, use the instance repository to get by node_execution_id + execution = self._workflow_node_execution_repository.get_by_node_execution_id(node_execution_id) + + if not execution: raise ValueError(f"Workflow node execution not found: {node_execution_id}") - cached_workflow_node_execution = self._workflow_node_executions[node_execution_id] - return session.merge(cached_workflow_node_execution) + + # Update cache + self._workflow_node_executions[node_execution_id] = execution + return execution def _handle_agent_log(self, task_id: str, event: QueueAgentLogEvent) -> AgentLogStreamResponse: """ diff --git a/api/core/callback_handler/index_tool_callback_handler.py b/api/core/callback_handler/index_tool_callback_handler.py index 64c734f626..56859df7f4 100644 --- a/api/core/callback_handler/index_tool_callback_handler.py +++ b/api/core/callback_handler/index_tool_callback_handler.py @@ -6,7 +6,6 @@ from core.rag.models.document import Document from extensions.ext_database import db from models.dataset import ChildChunk, DatasetQuery, DocumentSegment from models.dataset import Document as DatasetDocument -from models.model import DatasetRetrieverResource class DatasetIndexToolCallbackHandler: @@ -71,29 +70,6 @@ class DatasetIndexToolCallbackHandler: def return_retriever_resource_info(self, resource: list): """Handle return_retriever_resource_info.""" - if resource and len(resource) > 0: - for item in resource: - dataset_retriever_resource = DatasetRetrieverResource( - message_id=self._message_id, - position=item.get("position") or 0, - dataset_id=item.get("dataset_id"), - dataset_name=item.get("dataset_name"), - document_id=item.get("document_id"), - document_name=item.get("document_name"), - data_source_type=item.get("data_source_type"), - segment_id=item.get("segment_id"), - score=item.get("score") if "score" in item else None, - hit_count=item.get("hit_count") if "hit_count" in item else None, - word_count=item.get("word_count") if "word_count" in item else None, - segment_position=item.get("segment_position") if "segment_position" in item else None, - index_node_hash=item.get("index_node_hash") if "index_node_hash" in item else None, - content=item.get("content"), - retriever_from=item.get("retriever_from"), - created_by=self._user_id, - ) - db.session.add(dataset_retriever_resource) - db.session.commit() - self._queue_manager.publish( QueueRetrieverResourcesEvent(retriever_resources=resource), PublishFrom.APPLICATION_MANAGER ) diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py index b3affc91a6..86887c9b4a 100644 --- a/api/core/entities/provider_configuration.py +++ b/api/core/entities/provider_configuration.py @@ -798,7 +798,25 @@ class ProviderConfiguration(BaseModel): provider_models = [m for m in provider_models if m.status == ModelStatus.ACTIVE] # resort provider_models - return sorted(provider_models, key=lambda x: x.model_type.value) + # Optimize sorting logic: first sort by provider.position order, then by model_type.value + # Get the position list for model types (retrieve only once for better performance) + model_type_positions = {} + if hasattr(self.provider, "position") and self.provider.position: + model_type_positions = self.provider.position + + def get_sort_key(model: ModelWithProviderEntity): + # Get the position list for the current model type + positions = model_type_positions.get(model.model_type.value, []) + + # If the model name is in the position list, use its index for sorting + # Otherwise use a large value (list length) to place undefined models at the end + position_index = positions.index(model.model) if model.model in positions else len(positions) + + # Return composite sort key: (model_type value, model position index) + return (model.model_type.value, position_index) + + # Sort using the composite sort key + return sorted(provider_models, key=get_sort_key) def _get_system_provider_models( self, diff --git a/api/core/external_data_tool/api/__builtin__ b/api/core/external_data_tool/api/__builtin__ index 56a6051ca2..d00491fd7e 100644 --- a/api/core/external_data_tool/api/__builtin__ +++ b/api/core/external_data_tool/api/__builtin__ @@ -1 +1 @@ -1 \ No newline at end of file +1 diff --git a/api/core/file/file_manager.py b/api/core/file/file_manager.py index 4ebe997ac5..9a204e9ff6 100644 --- a/api/core/file/file_manager.py +++ b/api/core/file/file_manager.py @@ -7,9 +7,9 @@ from core.model_runtime.entities import ( AudioPromptMessageContent, DocumentPromptMessageContent, ImagePromptMessageContent, - MultiModalPromptMessageContent, VideoPromptMessageContent, ) +from core.model_runtime.entities.message_entities import PromptMessageContentUnionTypes from extensions.ext_storage import storage from . import helpers @@ -43,7 +43,7 @@ def to_prompt_message_content( /, *, image_detail_config: ImagePromptMessageContent.DETAIL | None = None, -) -> MultiModalPromptMessageContent: +) -> PromptMessageContentUnionTypes: if f.extension is None: raise ValueError("Missing file extension") if f.mime_type is None: @@ -58,7 +58,7 @@ def to_prompt_message_content( if f.type == FileType.IMAGE: params["detail"] = image_detail_config or ImagePromptMessageContent.DETAIL.LOW - prompt_class_map: Mapping[FileType, type[MultiModalPromptMessageContent]] = { + prompt_class_map: Mapping[FileType, type[PromptMessageContentUnionTypes]] = { FileType.IMAGE: ImagePromptMessageContent, FileType.AUDIO: AudioPromptMessageContent, FileType.VIDEO: VideoPromptMessageContent, diff --git a/api/core/helper/code_executor/javascript/javascript_transformer.py b/api/core/helper/code_executor/javascript/javascript_transformer.py index d67a0903aa..62489cdf29 100644 --- a/api/core/helper/code_executor/javascript/javascript_transformer.py +++ b/api/core/helper/code_executor/javascript/javascript_transformer.py @@ -10,13 +10,13 @@ class NodeJsTemplateTransformer(TemplateTransformer): f""" // declare main function {cls._code_placeholder} - + // decode and prepare input object var inputs_obj = JSON.parse(Buffer.from('{cls._inputs_placeholder}', 'base64').toString('utf-8')) - + // execute main function var output_obj = main(inputs_obj) - + // convert output to json and print var output_json = JSON.stringify(output_obj) var result = `<>${{output_json}}<>` diff --git a/api/core/helper/code_executor/jinja2/jinja2_transformer.py b/api/core/helper/code_executor/jinja2/jinja2_transformer.py index 63d58edbc7..54c78cdf92 100644 --- a/api/core/helper/code_executor/jinja2/jinja2_transformer.py +++ b/api/core/helper/code_executor/jinja2/jinja2_transformer.py @@ -21,20 +21,20 @@ class Jinja2TemplateTransformer(TemplateTransformer): import jinja2 template = jinja2.Template('''{cls._code_placeholder}''') return template.render(**inputs) - + import json from base64 import b64decode - + # decode and prepare input dict inputs_obj = json.loads(b64decode('{cls._inputs_placeholder}').decode('utf-8')) - + # execute main function output = main(**inputs_obj) - + # convert output and print result = f'''<>{{output}}<>''' print(result) - + """) return runner_script @@ -43,15 +43,15 @@ class Jinja2TemplateTransformer(TemplateTransformer): preload_script = dedent(""" import jinja2 from base64 import b64decode - + def _jinja2_preload_(): # prepare jinja2 environment, load template and render before to avoid sandbox issue template = jinja2.Template('{{s}}') template.render(s='a') - + if __name__ == '__main__': _jinja2_preload_() - + """) return preload_script diff --git a/api/core/helper/code_executor/python3/python3_transformer.py b/api/core/helper/code_executor/python3/python3_transformer.py index 75a5a44d08..836fd273ae 100644 --- a/api/core/helper/code_executor/python3/python3_transformer.py +++ b/api/core/helper/code_executor/python3/python3_transformer.py @@ -9,16 +9,16 @@ class Python3TemplateTransformer(TemplateTransformer): runner_script = dedent(f""" # declare main function {cls._code_placeholder} - + import json from base64 import b64decode - + # decode and prepare input dict inputs_obj = json.loads(b64decode('{cls._inputs_placeholder}').decode('utf-8')) - + # execute main function output_obj = main(**inputs_obj) - + # convert output to json and print output_json = json.dumps(output_obj, indent=4) result = f'''<>{{output_json}}<>''' diff --git a/api/core/helper/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py index 969cd112ee..11f245812e 100644 --- a/api/core/helper/ssrf_proxy.py +++ b/api/core/helper/ssrf_proxy.py @@ -48,25 +48,26 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs): write=dify_config.SSRF_DEFAULT_WRITE_TIME_OUT, ) + if "ssl_verify" not in kwargs: + kwargs["ssl_verify"] = HTTP_REQUEST_NODE_SSL_VERIFY + + ssl_verify = kwargs.pop("ssl_verify") + retries = 0 while retries <= max_retries: try: if dify_config.SSRF_PROXY_ALL_URL: - with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL, verify=HTTP_REQUEST_NODE_SSL_VERIFY) as client: + with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL, verify=ssl_verify) as client: response = client.request(method=method, url=url, **kwargs) elif dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL: proxy_mounts = { - "http://": httpx.HTTPTransport( - proxy=dify_config.SSRF_PROXY_HTTP_URL, verify=HTTP_REQUEST_NODE_SSL_VERIFY - ), - "https://": httpx.HTTPTransport( - proxy=dify_config.SSRF_PROXY_HTTPS_URL, verify=HTTP_REQUEST_NODE_SSL_VERIFY - ), + "http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL, verify=ssl_verify), + "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL, verify=ssl_verify), } - with httpx.Client(mounts=proxy_mounts, verify=HTTP_REQUEST_NODE_SSL_VERIFY) as client: + with httpx.Client(mounts=proxy_mounts, verify=ssl_verify) as client: response = client.request(method=method, url=url, **kwargs) else: - with httpx.Client(verify=HTTP_REQUEST_NODE_SSL_VERIFY) as client: + with httpx.Client(verify=ssl_verify) as client: response = client.request(method=method, url=url, **kwargs) if response.status_code not in STATUS_FORCELIST: diff --git a/api/core/llm_generator/llm_generator.py b/api/core/llm_generator/llm_generator.py index 75687f9ae3..e5dbc30689 100644 --- a/api/core/llm_generator/llm_generator.py +++ b/api/core/llm_generator/llm_generator.py @@ -3,6 +3,8 @@ import logging import re from typing import Optional, cast +import json_repair + from core.llm_generator.output_parser.rule_config_generator import RuleConfigGeneratorOutputParser from core.llm_generator.output_parser.suggested_questions_after_answer import SuggestedQuestionsAfterAnswerOutputParser from core.llm_generator.prompts import ( @@ -10,6 +12,7 @@ from core.llm_generator.prompts import ( GENERATOR_QA_PROMPT, JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE, PYTHON_CODE_GENERATOR_PROMPT_TEMPLATE, + SYSTEM_STRUCTURED_OUTPUT_GENERATE, WORKFLOW_RULE_CONFIG_PROMPT_GENERATE_TEMPLATE, ) from core.model_manager import ModelManager @@ -340,3 +343,50 @@ class LLMGenerator: answer = cast(str, response.message.content) return answer.strip() + + @classmethod + def generate_structured_output(cls, tenant_id: str, instruction: str, model_config: dict): + model_manager = ModelManager() + model_instance = model_manager.get_model_instance( + tenant_id=tenant_id, + model_type=ModelType.LLM, + provider=model_config.get("provider", ""), + model=model_config.get("name", ""), + ) + + prompt_messages = [ + SystemPromptMessage(content=SYSTEM_STRUCTURED_OUTPUT_GENERATE), + UserPromptMessage(content=instruction), + ] + model_parameters = model_config.get("model_parameters", {}) + + try: + response = cast( + LLMResult, + model_instance.invoke_llm( + prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False + ), + ) + + raw_content = response.message.content + + if not isinstance(raw_content, str): + raise ValueError(f"LLM response content must be a string, got: {type(raw_content)}") + + try: + parsed_content = json.loads(raw_content) + except json.JSONDecodeError: + parsed_content = json_repair.loads(raw_content) + + if not isinstance(parsed_content, dict | list): + raise ValueError(f"Failed to parse structured output from llm: {raw_content}") + + generated_json_schema = json.dumps(parsed_content, indent=2, ensure_ascii=False) + return {"output": generated_json_schema, "error": ""} + + except InvokeError as e: + error = str(e) + return {"output": "", "error": f"Failed to generate JSON Schema. Error: {error}"} + except Exception as e: + logging.exception(f"Failed to invoke LLM model, model: {model_config.get('name')}") + return {"output": "", "error": f"An unexpected error occurred: {str(e)}"} diff --git a/api/core/llm_generator/prompts.py b/api/core/llm_generator/prompts.py index cf20e60c82..34ea3aec26 100644 --- a/api/core/llm_generator/prompts.py +++ b/api/core/llm_generator/prompts.py @@ -1,7 +1,7 @@ # 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 use could be diverse, which can be English, Chinese, Italian, Español, Arabic, Japanese, French, and etc. -MAKE SURE your output is the SAME language as the user's input! +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. @@ -19,7 +19,7 @@ User Input: hi, yesterday i had some burgers. example 2: User Input: hello { - "Language Type": "The user's input is written in pure English", + "Language Type": "The user's input is pure English", "Your Reasoning": "The language of my output must be pure English.", "Your Output": "Greeting myself☺️" } @@ -46,7 +46,7 @@ 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 subjective particles, 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 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" } @@ -58,7 +58,7 @@ User Input: yo, 你今天咋样？ "Your Output": "查询今日我的状态☺️" } -User Input: +User Input: """ # noqa: E501 PYTHON_CODE_GENERATOR_PROMPT_TEMPLATE = ( @@ -114,6 +114,13 @@ JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE = ( "4. The returned object should contain at least one key-value pair.\n\n" "5. The returned object should always be in the format: {result: ...}\n\n" "Example:\n" + "/**\n" + " * Multiplies two numbers together.\n" + " *\n" + " * @param {number} arg1 - The first number to multiply.\n" + " * @param {number} arg2 - The second number to multiply.\n" + " * @returns {{ result: number }} The result of the multiplication.\n" + " */\n" "function main(arg1, arg2) {\n" " return {\n" " result: arg1 * arg2\n" @@ -130,7 +137,7 @@ JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE = ( SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = ( "Please help me predict the three most likely questions that human would ask, " - "and keeping each question under 20 characters.\n" + "and keep each question under 20 characters.\n" "MAKE SURE your output is the SAME language as the Assistant's latest response. " "The output must be an array in JSON format following the specified schema:\n" '["question1","question2","question3"]\n' @@ -156,11 +163,11 @@ Here is a task description for which I would like you to create a high-quality p {{TASK_DESCRIPTION}} Based on task description, please create a well-structured prompt template that another AI could use to consistently complete the task. The prompt template should include: -- Do not include or section and variables in the prompt, assume user will add them at their own will. -- Clear instructions for the AI that will be using this prompt, demarcated with tags. The instructions should provide step-by-step directions on how to complete the task using the input variables. Also Specifies in the instructions that the output should not contain any xml tag. -- Relevant examples if needed to clarify the task further, demarcated with tags. Do not include variables in the prompt. Give three pairs of input and output examples. -- Include other relevant sections demarcated with appropriate XML tags like , . -- Use the same language as task description. +- Do not include or section and variables in the prompt, assume user will add them at their own will. +- Clear instructions for the AI that will be using this prompt, demarcated with tags. The instructions should provide step-by-step directions on how to complete the task using the input variables. Also Specifies in the instructions that the output should not contain any xml tag. +- Relevant examples if needed to clarify the task further, demarcated with tags. Do not include variables in the prompt. Give three pairs of input and output examples. +- Include other relevant sections demarcated with appropriate XML tags like , . +- Use the same language as task description. - Output in ``` xml ``` and start with Please generate the full prompt template with at least 300 words and output only the prompt template. """ # noqa: E501 @@ -171,28 +178,28 @@ Here is a task description for which I would like you to create a high-quality p {{TASK_DESCRIPTION}} Based on task description, please create a well-structured prompt template that another AI could use to consistently complete the task. The prompt template should include: -- Descriptive variable names surrounded by {{ }} (two curly brackets) to indicate where the actual values will be substituted in. Choose variable names that clearly indicate the type of value expected. Variable names have to be composed of number, english alphabets and underline and nothing else. -- Clear instructions for the AI that will be using this prompt, demarcated with tags. The instructions should provide step-by-step directions on how to complete the task using the input variables. Also Specifies in the instructions that the output should not contain any xml tag. -- Relevant examples if needed to clarify the task further, demarcated with tags. Do not use curly brackets any other than in section. +- Descriptive variable names surrounded by {{ }} (two curly brackets) to indicate where the actual values will be substituted in. Choose variable names that clearly indicate the type of value expected. Variable names have to be composed of number, english alphabets and underline and nothing else. +- Clear instructions for the AI that will be using this prompt, demarcated with tags. The instructions should provide step-by-step directions on how to complete the task using the input variables. Also Specifies in the instructions that the output should not contain any xml tag. +- Relevant examples if needed to clarify the task further, demarcated with tags. Do not use curly brackets any other than in section. - Any other relevant sections demarcated with appropriate XML tags like , , etc. -- Use the same language as task description. +- Use the same language as task description. - Output in ``` xml ``` and start with Please generate the full prompt template and output only the prompt template. """ # noqa: E501 RULE_CONFIG_PARAMETER_GENERATE_TEMPLATE = """ -I need to extract the following information from the input text. The tag specifies the 'type', 'description' and 'required' of the information to be extracted. +I need to extract the following information from the input text. The tag specifies the 'type', 'description' and 'required' of the information to be extracted. -variables name bounded two double curly brackets. Variable name has to be composed of number, english alphabets and underline and nothing else. +variables name bounded two double curly brackets. Variable name has to be composed of number, english alphabets and underline and nothing else. Step 1: Carefully read the input and understand the structure of the expected output. -Step 2: Extract relevant parameters from the provided text based on the name and description of object. +Step 2: Extract relevant parameters from the provided text based on the name and description of object. Step 3: Structure the extracted parameters to JSON object as specified in . -Step 4: Ensure that the list of variable_names is properly formatted and valid. The output should not contain any XML tags. Output an empty list if there is no valid variable name in input text. +Step 4: Ensure that the list of variable_names is properly formatted and valid. The output should not contain any XML tags. Output an empty list if there is no valid variable name in input text. ### Structure -Here is the structure of the expected output, I should always follow the output structure. +Here is the structure of the expected output, I should always follow the output structure. ["variable_name_1", "variable_name_2"] ### Input Text @@ -207,16 +214,121 @@ I should always output a valid list. Output nothing other than the list of varia RULE_CONFIG_STATEMENT_GENERATE_TEMPLATE = """ -Step 1: Identify the purpose of the chatbot from the variable {{TASK_DESCRIPTION}} and infer chatbot's tone (e.g., friendly, professional, etc.) to add personality traits. +Step 1: Identify the purpose of the chatbot from the variable {{TASK_DESCRIPTION}} and infer chatbot's tone (e.g., friendly, professional, etc.) to add personality traits. Step 2: Create a coherent and engaging opening statement. Step 3: Ensure the output is welcoming and clearly explains what the chatbot is designed to do. Do not include any XML tags in the output. -Please use the same language as the user's input language. If user uses chinese then generate opening statement in chinese, if user uses english then generate opening statement in english. -Example Input: +Please use the same language as the user's input language. If user uses chinese then generate opening statement in chinese, if user uses english then generate opening statement in english. +Example Input: Provide customer support for an e-commerce website -Example Output: +Example Output: Welcome! I'm here to assist you with any questions or issues you might have with your shopping experience. Whether you're looking for product information, need help with your order, or have any other inquiries, feel free to ask. I'm friendly, helpful, and ready to support you in any way I can. Here is the task description: {{INPUT_TEXT}} You just need to generate the output """ # noqa: E501 + +SYSTEM_STRUCTURED_OUTPUT_GENERATE = """ +Your task is to convert simple user descriptions into properly formatted JSON Schema definitions. When a user describes data fields they need, generate a complete, valid JSON Schema that accurately represents those fields with appropriate types and requirements. + +## Instructions: + +1. Analyze the user's description of their data needs +2. Identify each property that should be included in the schema +3. Determine the appropriate data type for each property +4. Decide which properties should be required +5. Generate a complete JSON Schema with proper syntax +6. Include appropriate constraints when specified (min/max values, patterns, formats) +7. Provide ONLY the JSON Schema without any additional explanations, comments, or markdown formatting. +8. DO NOT use markdown code blocks (``` or ``` json). Return the raw JSON Schema directly. + +## Examples: + +### Example 1: +**User Input:** I need name and age +**JSON Schema Output:** +{ + "type": "object", + "properties": { + "name": { "type": "string" }, + "age": { "type": "number" } + }, + "required": ["name", "age"] +} + +### Example 2: +**User Input:** I want to store information about books including title, author, publication year and optional page count +**JSON Schema Output:** +{ + "type": "object", + "properties": { + "title": { "type": "string" }, + "author": { "type": "string" }, + "publicationYear": { "type": "integer" }, + "pageCount": { "type": "integer" } + }, + "required": ["title", "author", "publicationYear"] +} + +### Example 3: +**User Input:** Create a schema for user profiles with email, password, and age (must be at least 18) +**JSON Schema Output:** +{ + "type": "object", + "properties": { + "email": { + "type": "string", + "format": "email" + }, + "password": { + "type": "string", + "minLength": 8 + }, + "age": { + "type": "integer", + "minimum": 18 + } + }, + "required": ["email", "password", "age"] +} + +### Example 4: +**User Input:** I need album schema, the ablum has songs, and each song has name, duration, and artist. +**JSON Schema Output:** +{ + "type": "object", + "properties": { + "songs": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "id": { + "type": "string" + }, + "duration": { + "type": "string" + }, + "aritst": { + "type": "string" + } + }, + "required": [ + "name", + "id", + "duration", + "aritst" + ] + } + } + }, + "required": [ + "songs" + ] +} + +Now, generate a JSON Schema based on my description +""" # noqa: E501 diff --git a/api/core/memory/token_buffer_memory.py b/api/core/memory/token_buffer_memory.py index 003a0c85b1..2254b3d4d5 100644 --- a/api/core/memory/token_buffer_memory.py +++ b/api/core/memory/token_buffer_memory.py @@ -8,11 +8,11 @@ from core.model_runtime.entities import ( AssistantPromptMessage, ImagePromptMessageContent, PromptMessage, - PromptMessageContent, PromptMessageRole, TextPromptMessageContent, UserPromptMessage, ) +from core.model_runtime.entities.message_entities import PromptMessageContentUnionTypes from core.prompt.utils.extract_thread_messages import extract_thread_messages from extensions.ext_database import db from factories import file_factory @@ -44,6 +44,7 @@ class TokenBufferMemory: Message.created_at, Message.workflow_run_id, Message.parent_message_id, + Message.answer_tokens, ) .filter( Message.conversation_id == self.conversation.id, @@ -63,7 +64,7 @@ class TokenBufferMemory: thread_messages = extract_thread_messages(messages) # for newly created message, its answer is temporarily empty, we don't need to add it to memory - if thread_messages and not thread_messages[0].answer: + if thread_messages and not thread_messages[0].answer and thread_messages[0].answer_tokens == 0: thread_messages.pop(0) messages = list(reversed(thread_messages)) @@ -99,7 +100,7 @@ class TokenBufferMemory: if not file_objs: prompt_messages.append(UserPromptMessage(content=message.query)) else: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=message.query)) for file in file_objs: prompt_message = file_manager.to_prompt_message_content( diff --git a/api/core/model_manager.py b/api/core/model_manager.py index 0d5e8a3e4b..0845ef206e 100644 --- a/api/core/model_manager.py +++ b/api/core/model_manager.py @@ -177,7 +177,7 @@ class ModelInstance: ) def get_llm_num_tokens( - self, prompt_messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None + self, prompt_messages: Sequence[PromptMessage], tools: Optional[Sequence[PromptMessageTool]] = None ) -> int: """ Get number of tokens for llm diff --git a/api/core/model_runtime/README_CN.md b/api/core/model_runtime/README_CN.md index 27286ac885..2fc2a60461 100644 --- a/api/core/model_runtime/README_CN.md +++ b/api/core/model_runtime/README_CN.md @@ -10,7 +10,7 @@ - 支持 5 种模型类型的能力调用 - `LLM` - LLM 文本补全、对话，预计算 tokens 能力 - - `Text Embedding Model` - 文本 Embedding ，预计算 tokens 能力 + - `Text Embedding Model` - 文本 Embedding，预计算 tokens 能力 - `Rerank Model` - 分段 Rerank 能力 - `Speech-to-text Model` - 语音转文本能力 - `Text-to-speech Model` - 文本转语音能力 @@ -57,11 +57,11 @@ Model Runtime 分三层： 提供获取当前供应商模型列表、获取模型实例、供应商凭据鉴权、供应商配置规则信息，**可横向扩展**以支持不同的供应商。 对于供应商/模型凭据，有两种情况 - - 如OpenAI这类中心化供应商，需要定义如**api_key**这类的鉴权凭据 + - 如 OpenAI 这类中心化供应商，需要定义如**api_key**这类的鉴权凭据 - 如[**Xinference**](https://github.com/xorbitsai/inference)这类本地部署的供应商，需要定义如**server_url**这类的地址凭据，有时候还需要定义**model_uid**之类的模型类型凭据，就像下面这样，当在供应商层定义了这些凭据后，就可以在前端页面上直接展示，无需修改前端逻辑。 ![Alt text](docs/zh_Hans/images/index/image.png) - 当配置好凭据后，就可以通过DifyRuntime的外部接口直接获取到对应供应商所需要的**Schema**（凭据表单规则），从而在可以在不修改前端逻辑的情况下，提供新的供应商/模型的支持。 + 当配置好凭据后，就可以通过 DifyRuntime 的外部接口直接获取到对应供应商所需要的**Schema**（凭据表单规则），从而在可以在不修改前端逻辑的情况下，提供新的供应商/模型的支持。 - 最底层为模型层 @@ -69,9 +69,9 @@ Model Runtime 分三层： 在这里我们需要先区分模型参数与模型凭据。 - - 模型参数(**在本层定义**)：这是一类经常需要变动，随时调整的参数，如 LLM 的 **max_tokens**、**temperature** 等，这些参数是由用户在前端页面上进行调整的，因此需要在后端定义参数的规则，以便前端页面进行展示和调整。在DifyRuntime中，他们的参数名一般为**model_parameters: dict[str, any]**。 + - 模型参数 (**在本层定义**)：这是一类经常需要变动，随时调整的参数，如 LLM 的 **max_tokens**、**temperature** 等，这些参数是由用户在前端页面上进行调整的，因此需要在后端定义参数的规则，以便前端页面进行展示和调整。在 DifyRuntime 中，他们的参数名一般为**model_parameters: dict[str, any]**。 - - 模型凭据(**在供应商层定义**)：这是一类不经常变动，一般在配置好后就不会再变动的参数，如 **api_key**、**server_url** 等。在DifyRuntime中，他们的参数名一般为**credentials: dict[str, any]**，Provider层的credentials会直接被传递到这一层，不需要再单独定义。 + - 模型凭据 (**在供应商层定义**)：这是一类不经常变动，一般在配置好后就不会再变动的参数，如 **api_key**、**server_url** 等。在 DifyRuntime 中，他们的参数名一般为**credentials: dict[str, any]**，Provider 层的 credentials 会直接被传递到这一层，不需要再单独定义。 ## 下一步 @@ -81,7 +81,7 @@ Model Runtime 分三层： ![Alt text](docs/zh_Hans/images/index/image-1.png) ### [为已存在的供应商新增模型 👈🏻](./docs/zh_Hans/provider_scale_out.md#增加模型) -当添加后，对应供应商的模型列表中将会出现一个新的预定义模型供用户选择，如GPT-3.5 GPT-4 ChatGLM3-6b等，而对于支持自定义模型的供应商，则不需要新增模型。 +当添加后，对应供应商的模型列表中将会出现一个新的预定义模型供用户选择，如 GPT-3.5 GPT-4 ChatGLM3-6b 等，而对于支持自定义模型的供应商，则不需要新增模型。 ![Alt text](docs/zh_Hans/images/index/image-2.png) diff --git a/api/core/model_runtime/callbacks/base_callback.py b/api/core/model_runtime/callbacks/base_callback.py index 8870b34435..57cad17285 100644 --- a/api/core/model_runtime/callbacks/base_callback.py +++ b/api/core/model_runtime/callbacks/base_callback.py @@ -58,7 +58,7 @@ class Callback(ABC): chunk: LLMResultChunk, model: str, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, @@ -88,7 +88,7 @@ class Callback(ABC): result: LLMResult, model: str, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, diff --git a/api/core/model_runtime/callbacks/logging_callback.py b/api/core/model_runtime/callbacks/logging_callback.py index 1f21a2d376..899f08195d 100644 --- a/api/core/model_runtime/callbacks/logging_callback.py +++ b/api/core/model_runtime/callbacks/logging_callback.py @@ -74,7 +74,7 @@ class LoggingCallback(Callback): chunk: LLMResultChunk, model: str, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, @@ -104,7 +104,7 @@ class LoggingCallback(Callback): result: LLMResult, model: str, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, diff --git a/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md b/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md index b5a714a172..d845c4bd09 100644 --- a/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md +++ b/api/core/model_runtime/docs/en_US/customizable_model_scale_out.md @@ -102,12 +102,12 @@ provider_credential_schema: ```yaml - variable: server_url label: - zh_Hans: 服务器URL + zh_Hans: 服务器 URL en_US: Server url type: text-input required: true placeholder: - zh_Hans: 在此输入Xinference的服务器地址，如 https://example.com/xxx + zh_Hans: 在此输入 Xinference 的服务器地址，如 https://example.com/xxx en_US: Enter the url of your Xinference, for example https://example.com/xxx ``` @@ -116,12 +116,12 @@ provider_credential_schema: ```yaml - variable: model_uid label: - zh_Hans: 模型UID + zh_Hans: 模型 UID en_US: Model uid type: text-input required: true placeholder: - zh_Hans: 在此输入您的Model UID + zh_Hans: 在此输入您的 Model UID en_US: Enter the model uid ``` @@ -307,4 +307,4 @@ Runtime Errors: """ ``` -For interface method details, see: [Interfaces](./interfaces.md). For specific implementations, refer to: [llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py). \ No newline at end of file +For interface method details, see: [Interfaces](./interfaces.md). For specific implementations, refer to: [llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py). diff --git a/api/core/model_runtime/docs/en_US/interfaces.md b/api/core/model_runtime/docs/en_US/interfaces.md index 3410109cf1..158d4b306b 100644 --- a/api/core/model_runtime/docs/en_US/interfaces.md +++ b/api/core/model_runtime/docs/en_US/interfaces.md @@ -367,7 +367,7 @@ Inherit the `__base.text2speech_model.Text2SpeechModel` base class and implement - Returns： - Text converted speech stream。 + Text converted speech stream. ### Moderation diff --git a/api/core/model_runtime/docs/en_US/predefined_model_scale_out.md b/api/core/model_runtime/docs/en_US/predefined_model_scale_out.md index 3e16257452..a770ed157b 100644 --- a/api/core/model_runtime/docs/en_US/predefined_model_scale_out.md +++ b/api/core/model_runtime/docs/en_US/predefined_model_scale_out.md @@ -170,4 +170,4 @@ Runtime Errors: """ ``` -For interface method explanations, see: [Interfaces](./interfaces.md). For detailed implementation, refer to: [llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py). \ No newline at end of file +For interface method explanations, see: [Interfaces](./interfaces.md). For detailed implementation, refer to: [llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py). diff --git a/api/core/model_runtime/docs/zh_Hans/customizable_model_scale_out.md b/api/core/model_runtime/docs/zh_Hans/customizable_model_scale_out.md index c36575b9af..7d30655469 100644 --- a/api/core/model_runtime/docs/zh_Hans/customizable_model_scale_out.md +++ b/api/core/model_runtime/docs/zh_Hans/customizable_model_scale_out.md @@ -6,14 +6,14 @@ 需要注意的是，对于自定义模型，每一个模型的接入都需要填写一个完整的供应商凭据。 -而不同于预定义模型，自定义供应商接入时永远会拥有如下两个参数，不需要在供应商yaml中定义。 +而不同于预定义模型，自定义供应商接入时永远会拥有如下两个参数，不需要在供应商 yaml 中定义。 ![Alt text](images/index/image-3.png) -在前文中，我们已经知道了供应商无需实现`validate_provider_credential`，Runtime会自行根据用户在此选择的模型类型和模型名称调用对应的模型层的`validate_credentials`来进行验证。 +在前文中，我们已经知道了供应商无需实现`validate_provider_credential`，Runtime 会自行根据用户在此选择的模型类型和模型名称调用对应的模型层的`validate_credentials`来进行验证。 -### 编写供应商yaml +### 编写供应商 yaml 我们首先要确定，接入的这个供应商支持哪些类型的模型。 @@ -26,7 +26,7 @@ - `tts` 文字转语音 - `moderation` 审查 -`Xinference`支持`LLM`和`Text Embedding`和Rerank，那么我们开始编写`xinference.yaml`。 +`Xinference`支持`LLM`和`Text Embedding`和 Rerank，那么我们开始编写`xinference.yaml`。 ```yaml provider: xinference #确定供应商标识 @@ -42,17 +42,17 @@ help: # 帮助 zh_Hans: 如何部署 Xinference url: en_US: https://github.com/xorbitsai/inference -supported_model_types: # 支持的模型类型，Xinference同时支持LLM/Text Embedding/Rerank +supported_model_types: # 支持的模型类型，Xinference 同时支持 LLM/Text Embedding/Rerank - llm - text-embedding - rerank -configurate_methods: # 因为Xinference为本地部署的供应商，并且没有预定义模型，需要用什么模型需要根据Xinference的文档自己部署，所以这里只支持自定义模型 +configurate_methods: # 因为 Xinference 为本地部署的供应商，并且没有预定义模型，需要用什么模型需要根据 Xinference 的文档自己部署，所以这里只支持自定义模型 - customizable-model provider_credential_schema: credential_form_schemas: ``` -随后，我们需要思考在Xinference中定义一个模型需要哪些凭据 +随后，我们需要思考在 Xinference 中定义一个模型需要哪些凭据 - 它支持三种不同的模型，因此，我们需要有`model_type`来指定这个模型的类型，它有三种类型，所以我们这么编写 ```yaml @@ -88,28 +88,28 @@ provider_credential_schema: zh_Hans: 填写模型名称 en_US: Input model name ``` -- 填写Xinference本地部署的地址 +- 填写 Xinference 本地部署的地址 ```yaml - variable: server_url label: - zh_Hans: 服务器URL + zh_Hans: 服务器 URL en_US: Server url type: text-input required: true placeholder: - zh_Hans: 在此输入Xinference的服务器地址，如 https://example.com/xxx + zh_Hans: 在此输入 Xinference 的服务器地址，如 https://example.com/xxx en_US: Enter the url of your Xinference, for example https://example.com/xxx ``` -- 每个模型都有唯一的model_uid，因此需要在这里定义 +- 每个模型都有唯一的 model_uid，因此需要在这里定义 ```yaml - variable: model_uid label: - zh_Hans: 模型UID + zh_Hans: 模型 UID en_US: Model uid type: text-input required: true placeholder: - zh_Hans: 在此输入您的Model UID + zh_Hans: 在此输入您的 Model UID en_US: Enter the model uid ``` 现在，我们就完成了供应商的基础定义。 @@ -145,7 +145,7 @@ provider_credential_schema: """ ``` - 在实现时，需要注意使用两个函数来返回数据，分别用于处理同步返回和流式返回，因为Python会将函数中包含 `yield` 关键字的函数识别为生成器函数，返回的数据类型固定为 `Generator`，因此同步和流式返回需要分别实现，就像下面这样（注意下面例子使用了简化参数，实际实现时需要按照上面的参数列表进行实现）： + 在实现时，需要注意使用两个函数来返回数据，分别用于处理同步返回和流式返回，因为 Python 会将函数中包含 `yield` 关键字的函数识别为生成器函数，返回的数据类型固定为 `Generator`，因此同步和流式返回需要分别实现，就像下面这样（注意下面例子使用了简化参数，实际实现时需要按照上面的参数列表进行实现）： ```python def _invoke(self, stream: bool, **kwargs) \ @@ -179,7 +179,7 @@ provider_credential_schema: """ ``` - 有时候，也许你不需要直接返回0，所以你可以使用`self._get_num_tokens_by_gpt2(text: str)`来获取预计算的tokens，并确保环境变量`PLUGIN_BASED_TOKEN_COUNTING_ENABLED`设置为`true`，这个方法位于`AIModel`基类中，它会使用GPT2的Tokenizer进行计算，但是只能作为替代方法，并不完全准确。 + 有时候，也许你不需要直接返回 0，所以你可以使用`self._get_num_tokens_by_gpt2(text: str)`来获取预计算的 tokens，并确保环境变量`PLUGIN_BASED_TOKEN_COUNTING_ENABLED`设置为`true`，这个方法位于`AIModel`基类中，它会使用 GPT2 的 Tokenizer 进行计算，但是只能作为替代方法，并不完全准确。 - 模型凭据校验 @@ -196,13 +196,13 @@ provider_credential_schema: """ ``` -- 模型参数Schema +- 模型参数 Schema - 与自定义类型不同，由于没有在yaml文件中定义一个模型支持哪些参数，因此，我们需要动态时间模型参数的Schema。 + 与自定义类型不同，由于没有在 yaml 文件中定义一个模型支持哪些参数，因此，我们需要动态时间模型参数的 Schema。 - 如Xinference支持`max_tokens` `temperature` `top_p` 这三个模型参数。 + 如 Xinference 支持`max_tokens` `temperature` `top_p` 这三个模型参数。 - 但是有的供应商根据不同的模型支持不同的参数，如供应商`OpenLLM`支持`top_k`，但是并不是这个供应商提供的所有模型都支持`top_k`，我们这里举例A模型支持`top_k`，B模型不支持`top_k`，那么我们需要在这里动态生成模型参数的Schema，如下所示： + 但是有的供应商根据不同的模型支持不同的参数，如供应商`OpenLLM`支持`top_k`，但是并不是这个供应商提供的所有模型都支持`top_k`，我们这里举例 A 模型支持`top_k`，B 模型不支持`top_k`，那么我们需要在这里动态生成模型参数的 Schema，如下所示： ```python def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: @@ -294,4 +294,4 @@ provider_credential_schema: """ ``` -接口方法说明见：[Interfaces](./interfaces.md)，具体实现可参考：[llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py)。 \ No newline at end of file +接口方法说明见：[Interfaces](./interfaces.md)，具体实现可参考：[llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py)。 diff --git a/api/core/model_runtime/docs/zh_Hans/interfaces.md b/api/core/model_runtime/docs/zh_Hans/interfaces.md index f86068ac99..93a48cafb8 100644 --- a/api/core/model_runtime/docs/zh_Hans/interfaces.md +++ b/api/core/model_runtime/docs/zh_Hans/interfaces.md @@ -687,7 +687,7 @@ class LLMUsage(ModelUsage): total_tokens: int # 总使用 token 数 total_price: Decimal # 总费用 currency: str # 货币单位 - latency: float # 请求耗时(s) + latency: float # 请求耗时 (s) ``` --- @@ -717,7 +717,7 @@ class EmbeddingUsage(ModelUsage): price_unit: Decimal # 价格单位，即单价基于多少 tokens total_price: Decimal # 总费用 currency: str # 货币单位 - latency: float # 请求耗时(s) + latency: float # 请求耗时 (s) ``` --- diff --git a/api/core/model_runtime/docs/zh_Hans/predefined_model_scale_out.md b/api/core/model_runtime/docs/zh_Hans/predefined_model_scale_out.md index 17fc088a63..80e7982e9f 100644 --- a/api/core/model_runtime/docs/zh_Hans/predefined_model_scale_out.md +++ b/api/core/model_runtime/docs/zh_Hans/predefined_model_scale_out.md @@ -95,7 +95,7 @@ pricing: # 价格信息 """ ``` - 在实现时，需要注意使用两个函数来返回数据，分别用于处理同步返回和流式返回，因为Python会将函数中包含 `yield` 关键字的函数识别为生成器函数，返回的数据类型固定为 `Generator`，因此同步和流式返回需要分别实现，就像下面这样（注意下面例子使用了简化参数，实际实现时需要按照上面的参数列表进行实现）： + 在实现时，需要注意使用两个函数来返回数据，分别用于处理同步返回和流式返回，因为 Python 会将函数中包含 `yield` 关键字的函数识别为生成器函数，返回的数据类型固定为 `Generator`，因此同步和流式返回需要分别实现，就像下面这样（注意下面例子使用了简化参数，实际实现时需要按照上面的参数列表进行实现）： ```python def _invoke(self, stream: bool, **kwargs) \ @@ -169,4 +169,4 @@ pricing: # 价格信息 """ ``` -接口方法说明见：[Interfaces](./interfaces.md)，具体实现可参考：[llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py)。 \ No newline at end of file +接口方法说明见：[Interfaces](./interfaces.md)，具体实现可参考：[llm.py](https://github.com/langgenius/dify-runtime/blob/main/lib/model_providers/anthropic/llm/llm.py)。 diff --git a/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md b/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md index 78aad8876f..2048b506ac 100644 --- a/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md +++ b/api/core/model_runtime/docs/zh_Hans/provider_scale_out.md @@ -8,13 +8,13 @@ - `customizable-model` 自定义模型 - 用户需要新增每个模型的凭据配置，如Xinference，它同时支持 LLM 和 Text Embedding，但是每个模型都有唯一的**model_uid**，如果想要将两者同时接入，就需要为每个模型配置一个**model_uid**。 + 用户需要新增每个模型的凭据配置，如 Xinference，它同时支持 LLM 和 Text Embedding，但是每个模型都有唯一的**model_uid**，如果想要将两者同时接入，就需要为每个模型配置一个**model_uid**。 - `fetch-from-remote` 从远程获取 与 `predefined-model` 配置方式一致，只需要配置统一的供应商凭据即可，模型通过凭据信息从供应商获取。 - 如OpenAI，我们可以基于gpt-turbo-3.5来Fine Tune多个模型，而他们都位于同一个**api_key**下，当配置为 `fetch-from-remote` 时，开发者只需要配置统一的**api_key**即可让DifyRuntime获取到开发者所有的微调模型并接入Dify。 + 如 OpenAI，我们可以基于 gpt-turbo-3.5 来 Fine Tune 多个模型，而他们都位于同一个**api_key**下，当配置为 `fetch-from-remote` 时，开发者只需要配置统一的**api_key**即可让 DifyRuntime 获取到开发者所有的微调模型并接入 Dify。 这三种配置方式**支持共存**，即存在供应商支持 `predefined-model` + `customizable-model` 或 `predefined-model` + `fetch-from-remote` 等，也就是配置了供应商统一凭据可以使用预定义模型和从远程获取的模型，若新增了模型，则可以在此基础上额外使用自定义的模型。 @@ -23,16 +23,16 @@ ### 介绍 #### 名词解释 - - `module`: 一个`module`即为一个Python Package，或者通俗一点，称为一个文件夹，里面包含了一个`__init__.py`文件，以及其他的`.py`文件。 + - `module`: 一个`module`即为一个 Python Package，或者通俗一点，称为一个文件夹，里面包含了一个`__init__.py`文件，以及其他的`.py`文件。 #### 步骤 新增一个供应商主要分为几步，这里简单列出，帮助大家有一个大概的认识，具体的步骤会在下面详细介绍。 -- 创建供应商yaml文件，根据[ProviderSchema](./schema.md#provider)编写 +- 创建供应商 yaml 文件，根据[ProviderSchema](./schema.md#provider)编写 - 创建供应商代码，实现一个`class`。 - 根据模型类型，在供应商`module`下创建对应的模型类型 `module`，如`llm`或`text_embedding`。 - 根据模型类型，在对应的模型`module`下创建同名的代码文件，如`llm.py`，并实现一个`class`。 -- 如果有预定义模型，根据模型名称创建同名的yaml文件在模型`module`下，如`claude-2.1.yaml`，根据[AIModelEntity](./schema.md#aimodelentity)编写。 +- 如果有预定义模型，根据模型名称创建同名的 yaml 文件在模型`module`下，如`claude-2.1.yaml`，根据[AIModelEntity](./schema.md#aimodelentity)编写。 - 编写测试代码，确保功能可用。 ### 开始吧 @@ -121,11 +121,11 @@ model_credential_schema: #### 实现供应商代码 -我们需要在`model_providers`下创建一个同名的python文件，如`anthropic.py`，并实现一个`class`，继承`__base.provider.Provider`基类，如`AnthropicProvider`。 +我们需要在`model_providers`下创建一个同名的 python 文件，如`anthropic.py`，并实现一个`class`，继承`__base.provider.Provider`基类，如`AnthropicProvider`。 ##### 自定义模型供应商 -当供应商为Xinference等自定义模型供应商时，可跳过该步骤，仅创建一个空的`XinferenceProvider`类即可，并实现一个空的`validate_provider_credentials`方法，该方法并不会被实际使用，仅用作避免抽象类无法实例化。 +当供应商为 Xinference 等自定义模型供应商时，可跳过该步骤，仅创建一个空的`XinferenceProvider`类即可，并实现一个空的`validate_provider_credentials`方法，该方法并不会被实际使用，仅用作避免抽象类无法实例化。 ```python class XinferenceProvider(Provider): @@ -155,7 +155,7 @@ def validate_provider_credentials(self, credentials: dict) -> None: #### 增加模型 #### [增加预定义模型 👈🏻](./predefined_model_scale_out.md) -对于预定义模型，我们可以通过简单定义一个yaml，并通过实现调用代码来接入。 +对于预定义模型，我们可以通过简单定义一个 yaml，并通过实现调用代码来接入。 #### [增加自定义模型 👈🏻](./customizable_model_scale_out.md) 对于自定义模型，我们只需要实现调用代码即可接入，但是它需要处理的参数可能会更加复杂。 diff --git a/api/core/model_runtime/entities/defaults.py b/api/core/model_runtime/entities/defaults.py index 4d0c9aa08f..76969fea70 100644 --- a/api/core/model_runtime/entities/defaults.py +++ b/api/core/model_runtime/entities/defaults.py @@ -29,7 +29,7 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = { "help": { "en_US": "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options" " are considered.", - "zh_Hans": "通过核心采样控制多样性：0.5表示考虑了一半的所有可能性加权选项。", + "zh_Hans": "通过核心采样控制多样性：0.5 表示考虑了一半的所有可能性加权选项。", }, "required": False, "default": 1.0, @@ -111,7 +111,7 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = { "help": { "en_US": "Set a response format, ensure the output from llm is a valid code block as possible," " such as JSON, XML, etc.", - "zh_Hans": "设置一个返回格式，确保llm的输出尽可能是有效的代码块，如JSON、XML等", + "zh_Hans": "设置一个返回格式，确保 llm 的输出尽可能是有效的代码块，如 JSON、XML 等", }, "required": False, "options": ["JSON", "XML"], @@ -123,7 +123,7 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = { "type": "text", "help": { "en_US": "Set a response json schema will ensure LLM to adhere it.", - "zh_Hans": "设置返回的json schema，llm将按照它返回", + "zh_Hans": "设置返回的 json schema，llm 将按照它返回", }, "required": False, }, diff --git a/api/core/model_runtime/entities/llm_entities.py b/api/core/model_runtime/entities/llm_entities.py index 4523da4388..9bb118622b 100644 --- a/api/core/model_runtime/entities/llm_entities.py +++ b/api/core/model_runtime/entities/llm_entities.py @@ -1,8 +1,9 @@ +from collections.abc import Sequence from decimal import Decimal from enum import StrEnum from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, Field from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage from core.model_runtime.entities.model_entities import ModelUsage, PriceInfo @@ -107,7 +108,7 @@ class LLMResult(BaseModel): id: Optional[str] = None model: str - prompt_messages: list[PromptMessage] + prompt_messages: Sequence[PromptMessage] = Field(default_factory=list) message: AssistantPromptMessage usage: LLMUsage system_fingerprint: Optional[str] = None @@ -130,7 +131,7 @@ class LLMResultChunk(BaseModel): """ model: str - prompt_messages: list[PromptMessage] + prompt_messages: Sequence[PromptMessage] = Field(default_factory=list) system_fingerprint: Optional[str] = None delta: LLMResultChunkDelta diff --git a/api/core/model_runtime/entities/message_entities.py b/api/core/model_runtime/entities/message_entities.py index 977678b893..b1c43d1455 100644 --- a/api/core/model_runtime/entities/message_entities.py +++ b/api/core/model_runtime/entities/message_entities.py @@ -1,8 +1,8 @@ from collections.abc import Sequence from enum import Enum, StrEnum -from typing import Optional +from typing import Annotated, Any, Literal, Optional, Union -from pydantic import BaseModel, Field, field_validator +from pydantic import BaseModel, Field, field_serializer, field_validator class PromptMessageRole(Enum): @@ -61,11 +61,7 @@ class PromptMessageContentType(StrEnum): class PromptMessageContent(BaseModel): - """ - Model class for prompt message content. - """ - - type: PromptMessageContentType + pass class TextPromptMessageContent(PromptMessageContent): @@ -73,7 +69,7 @@ class TextPromptMessageContent(PromptMessageContent): Model class for text prompt message content. """ - type: PromptMessageContentType = PromptMessageContentType.TEXT + type: Literal[PromptMessageContentType.TEXT] = PromptMessageContentType.TEXT data: str @@ -82,7 +78,6 @@ class MultiModalPromptMessageContent(PromptMessageContent): Model class for multi-modal prompt message content. """ - type: PromptMessageContentType format: str = Field(default=..., description="the format of multi-modal file") base64_data: str = Field(default="", description="the base64 data of multi-modal file") url: str = Field(default="", description="the url of multi-modal file") @@ -94,11 +89,11 @@ class MultiModalPromptMessageContent(PromptMessageContent): class VideoPromptMessageContent(MultiModalPromptMessageContent): - type: PromptMessageContentType = PromptMessageContentType.VIDEO + type: Literal[PromptMessageContentType.VIDEO] = PromptMessageContentType.VIDEO class AudioPromptMessageContent(MultiModalPromptMessageContent): - type: PromptMessageContentType = PromptMessageContentType.AUDIO + type: Literal[PromptMessageContentType.AUDIO] = PromptMessageContentType.AUDIO class ImagePromptMessageContent(MultiModalPromptMessageContent): @@ -110,12 +105,24 @@ class ImagePromptMessageContent(MultiModalPromptMessageContent): LOW = "low" HIGH = "high" - type: PromptMessageContentType = PromptMessageContentType.IMAGE + type: Literal[PromptMessageContentType.IMAGE] = PromptMessageContentType.IMAGE detail: DETAIL = DETAIL.LOW class DocumentPromptMessageContent(MultiModalPromptMessageContent): - type: PromptMessageContentType = PromptMessageContentType.DOCUMENT + type: Literal[PromptMessageContentType.DOCUMENT] = PromptMessageContentType.DOCUMENT + + +PromptMessageContentUnionTypes = Annotated[ + Union[ + TextPromptMessageContent, + ImagePromptMessageContent, + DocumentPromptMessageContent, + AudioPromptMessageContent, + VideoPromptMessageContent, + ], + Field(discriminator="type"), +] class PromptMessage(BaseModel): @@ -124,7 +131,7 @@ class PromptMessage(BaseModel): """ role: PromptMessageRole - content: Optional[str | Sequence[PromptMessageContent]] = None + content: Optional[str | list[PromptMessageContentUnionTypes]] = None name: Optional[str] = None def is_empty(self) -> bool: @@ -135,6 +142,16 @@ class PromptMessage(BaseModel): """ return not self.content + @field_serializer("content") + def serialize_content( + self, content: Optional[Union[str, Sequence[PromptMessageContent]]] + ) -> Optional[str | list[dict[str, Any] | PromptMessageContent] | Sequence[PromptMessageContent]]: + if content is None or isinstance(content, str): + return content + if isinstance(content, list): + return [item.model_dump() if hasattr(item, "model_dump") else item for item in content] + return content + class UserPromptMessage(PromptMessage): """ diff --git a/api/core/model_runtime/entities/model_entities.py b/api/core/model_runtime/entities/model_entities.py index 3225f03fbd..373ef2bbe2 100644 --- a/api/core/model_runtime/entities/model_entities.py +++ b/api/core/model_runtime/entities/model_entities.py @@ -2,7 +2,7 @@ from decimal import Decimal from enum import Enum, StrEnum from typing import Any, Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, model_validator from core.model_runtime.entities.common_entities import I18nObject @@ -85,6 +85,7 @@ class ModelFeature(Enum): DOCUMENT = "document" VIDEO = "video" AUDIO = "audio" + STRUCTURED_OUTPUT = "structured-output" class DefaultParameterName(StrEnum): @@ -197,6 +198,19 @@ class AIModelEntity(ProviderModel): parameter_rules: list[ParameterRule] = [] pricing: Optional[PriceConfig] = None + @model_validator(mode="after") + def validate_model(self): + supported_schema_keys = ["json_schema"] + schema_key = next((rule.name for rule in self.parameter_rules if rule.name in supported_schema_keys), None) + if not schema_key: + return self + if self.features is None: + self.features = [ModelFeature.STRUCTURED_OUTPUT] + else: + if ModelFeature.STRUCTURED_OUTPUT not in self.features: + self.features.append(ModelFeature.STRUCTURED_OUTPUT) + return self + class ModelUsage(BaseModel): pass diff --git a/api/core/model_runtime/entities/provider_entities.py b/api/core/model_runtime/entities/provider_entities.py index 85321bed94..d0f9ee13e5 100644 --- a/api/core/model_runtime/entities/provider_entities.py +++ b/api/core/model_runtime/entities/provider_entities.py @@ -134,6 +134,9 @@ class ProviderEntity(BaseModel): # pydantic configs model_config = ConfigDict(protected_namespaces=()) + # position from plugin _position.yaml + position: Optional[dict[str, list[str]]] = {} + @field_validator("models", mode="before") @classmethod def validate_models(cls, v): diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py index bd05590018..7d5ce1e47e 100644 --- a/api/core/model_runtime/model_providers/__base/ai_model.py +++ b/api/core/model_runtime/model_providers/__base/ai_model.py @@ -24,9 +24,8 @@ from core.model_runtime.errors.invoke import ( InvokeRateLimitError, InvokeServerUnavailableError, ) -from core.model_runtime.model_providers.__base.tokenizers.gpt2_tokenzier import GPT2Tokenizer from core.plugin.entities.plugin_daemon import PluginDaemonInnerError, PluginModelProviderEntity -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient class AIModel(BaseModel): @@ -141,7 +140,7 @@ class AIModel(BaseModel): :param credentials: model credentials :return: model schema """ - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() cache_key = f"{self.tenant_id}:{self.plugin_id}:{self.provider_name}:{self.model_type.value}:{model}" # sort credentials sorted_credentials = sorted(credentials.items()) if credentials else [] @@ -253,15 +252,3 @@ class AIModel(BaseModel): raise Exception(f"Invalid model parameter rule name {name}") return default_parameter_rule - - def _get_num_tokens_by_gpt2(self, text: str) -> int: - """ - Get number of tokens for given prompt messages by gpt2 - Some provider models do not provide an interface for obtaining the number of tokens. - Here, the gpt2 tokenizer is used to calculate the number of tokens. - This method can be executed offline, and the gpt2 tokenizer has been cached in the project. - - :param text: plain text of prompt. You need to convert the original message to plain text - :return: number of tokens - """ - return GPT2Tokenizer.get_num_tokens(text) diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py index b81ccafc1e..6312587861 100644 --- a/api/core/model_runtime/model_providers/__base/large_language_model.py +++ b/api/core/model_runtime/model_providers/__base/large_language_model.py @@ -1,7 +1,8 @@ import logging import time +import uuid from collections.abc import Generator, Sequence -from typing import Optional, Union +from typing import Optional, Union, cast from pydantic import ConfigDict @@ -19,11 +20,64 @@ from core.model_runtime.entities.model_entities import ( PriceType, ) from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.model_runtime.utils.helper import convert_llm_result_chunk_to_str +from core.plugin.impl.model import PluginModelClient logger = logging.getLogger(__name__) +def _gen_tool_call_id() -> str: + return f"chatcmpl-tool-{str(uuid.uuid4().hex)}" + + +def _increase_tool_call( + new_tool_calls: list[AssistantPromptMessage.ToolCall], existing_tools_calls: list[AssistantPromptMessage.ToolCall] +): + """ + Merge incremental tool call updates into existing tool calls. + + :param new_tool_calls: List of new tool call deltas to be merged. + :param existing_tools_calls: List of existing tool calls to be modified IN-PLACE. + """ + + def get_tool_call(tool_call_id: str): + """ + Get or create a tool call by ID + + :param tool_call_id: tool call ID + :return: existing or new tool call + """ + if not tool_call_id: + return existing_tools_calls[-1] + + _tool_call = next((_tool_call for _tool_call in existing_tools_calls if _tool_call.id == tool_call_id), None) + if _tool_call is None: + _tool_call = AssistantPromptMessage.ToolCall( + id=tool_call_id, + type="function", + function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""), + ) + existing_tools_calls.append(_tool_call) + + return _tool_call + + for new_tool_call in new_tool_calls: + # generate ID for tool calls with function name but no ID to track them + if new_tool_call.function.name and not new_tool_call.id: + new_tool_call.id = _gen_tool_call_id() + # get tool call + tool_call = get_tool_call(new_tool_call.id) + # update tool call + if new_tool_call.id: + tool_call.id = new_tool_call.id + if new_tool_call.type: + tool_call.type = new_tool_call.type + if new_tool_call.function.name: + tool_call.function.name = new_tool_call.function.name + if new_tool_call.function.arguments: + tool_call.function.arguments += new_tool_call.function.arguments + + class LargeLanguageModel(AIModel): """ Model class for large language model. @@ -45,7 +99,7 @@ class LargeLanguageModel(AIModel): stream: bool = True, user: Optional[str] = None, callbacks: Optional[list[Callback]] = None, - ) -> Union[LLMResult, Generator]: + ) -> Union[LLMResult, Generator[LLMResultChunk, None, None]]: """ Invoke large language model @@ -87,7 +141,7 @@ class LargeLanguageModel(AIModel): result: Union[LLMResult, Generator[LLMResultChunk, None, None]] try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() result = plugin_model_manager.invoke_llm( tenant_id=self.tenant_id, user_id=user or "unknown", @@ -109,44 +163,13 @@ class LargeLanguageModel(AIModel): system_fingerprint = None tools_calls: list[AssistantPromptMessage.ToolCall] = [] - def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]): - def get_tool_call(tool_name: str): - if not tool_name: - return tools_calls[-1] - - tool_call = next( - (tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None - ) - if tool_call is None: - tool_call = AssistantPromptMessage.ToolCall( - id="", - type="", - function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""), - ) - tools_calls.append(tool_call) - - return tool_call - - for new_tool_call in new_tool_calls: - # get tool call - tool_call = get_tool_call(new_tool_call.function.name) - # update tool call - if new_tool_call.id: - tool_call.id = new_tool_call.id - if new_tool_call.type: - tool_call.type = new_tool_call.type - if new_tool_call.function.name: - tool_call.function.name = new_tool_call.function.name - if new_tool_call.function.arguments: - tool_call.function.arguments += new_tool_call.function.arguments - for chunk in result: if isinstance(chunk.delta.message.content, str): content += chunk.delta.message.content elif isinstance(chunk.delta.message.content, list): content_list.extend(chunk.delta.message.content) if chunk.delta.message.tool_calls: - increase_tool_call(chunk.delta.message.tool_calls) + _increase_tool_call(chunk.delta.message.tool_calls, tools_calls) usage = chunk.delta.usage or LLMUsage.empty_usage() system_fingerprint = chunk.system_fingerprint @@ -205,22 +228,26 @@ class LargeLanguageModel(AIModel): user=user, callbacks=callbacks, ) - - return result + # Following https://github.com/langgenius/dify/issues/17799, + # we removed the prompt_messages from the chunk on the plugin daemon side. + # To ensure compatibility, we add the prompt_messages back here. + result.prompt_messages = prompt_messages + return result + raise NotImplementedError("unsupported invoke result type", type(result)) def _invoke_result_generator( self, model: str, result: Generator, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, stream: bool = True, user: Optional[str] = None, callbacks: Optional[list[Callback]] = None, - ) -> Generator: + ) -> Generator[LLMResultChunk, None, None]: """ Invoke result generator @@ -235,6 +262,10 @@ class LargeLanguageModel(AIModel): try: for chunk in result: + # Following https://github.com/langgenius/dify/issues/17799, + # we removed the prompt_messages from the chunk on the plugin daemon side. + # To ensure compatibility, we add the prompt_messages back here. + chunk.prompt_messages = prompt_messages yield chunk self._trigger_new_chunk_callbacks( @@ -250,7 +281,9 @@ class LargeLanguageModel(AIModel): callbacks=callbacks, ) - assistant_message.content += chunk.delta.message.content + text = convert_llm_result_chunk_to_str(chunk.delta.message.content) + current_content = cast(str, assistant_message.content) + assistant_message.content = current_content + text real_model = chunk.model if chunk.delta.usage: usage = chunk.delta.usage @@ -296,7 +329,7 @@ class LargeLanguageModel(AIModel): :return: """ if dify_config.PLUGIN_BASED_TOKEN_COUNTING_ENABLED: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.get_llm_num_tokens( tenant_id=self.tenant_id, user_id="unknown", @@ -403,7 +436,7 @@ class LargeLanguageModel(AIModel): chunk: LLMResultChunk, model: str, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, @@ -450,7 +483,7 @@ class LargeLanguageModel(AIModel): model: str, result: LLMResult, credentials: dict, - prompt_messages: list[PromptMessage], + prompt_messages: Sequence[PromptMessage], model_parameters: dict, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[Sequence[str]] = None, diff --git a/api/core/model_runtime/model_providers/__base/moderation_model.py b/api/core/model_runtime/model_providers/__base/moderation_model.py index f98d7572c7..19dc1d599a 100644 --- a/api/core/model_runtime/model_providers/__base/moderation_model.py +++ b/api/core/model_runtime/model_providers/__base/moderation_model.py @@ -5,7 +5,7 @@ from pydantic import ConfigDict from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient class ModerationModel(AIModel): @@ -31,7 +31,7 @@ class ModerationModel(AIModel): self.started_at = time.perf_counter() try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.invoke_moderation( tenant_id=self.tenant_id, user_id=user or "unknown", diff --git a/api/core/model_runtime/model_providers/__base/rerank_model.py b/api/core/model_runtime/model_providers/__base/rerank_model.py index e905cb18d4..569e756a3b 100644 --- a/api/core/model_runtime/model_providers/__base/rerank_model.py +++ b/api/core/model_runtime/model_providers/__base/rerank_model.py @@ -3,7 +3,7 @@ from typing import Optional from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.rerank_entities import RerankResult from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient class RerankModel(AIModel): @@ -36,7 +36,7 @@ class RerankModel(AIModel): :return: rerank result """ try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.invoke_rerank( tenant_id=self.tenant_id, user_id=user or "unknown", diff --git a/api/core/model_runtime/model_providers/__base/speech2text_model.py b/api/core/model_runtime/model_providers/__base/speech2text_model.py index 97ff322f09..c69f65b681 100644 --- a/api/core/model_runtime/model_providers/__base/speech2text_model.py +++ b/api/core/model_runtime/model_providers/__base/speech2text_model.py @@ -4,7 +4,7 @@ from pydantic import ConfigDict from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient class Speech2TextModel(AIModel): @@ -28,7 +28,7 @@ class Speech2TextModel(AIModel): :return: text for given audio file """ try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.invoke_speech_to_text( tenant_id=self.tenant_id, user_id=user or "unknown", diff --git a/api/core/model_runtime/model_providers/__base/text_embedding_model.py b/api/core/model_runtime/model_providers/__base/text_embedding_model.py index c4c1f92177..f7bba0eba1 100644 --- a/api/core/model_runtime/model_providers/__base/text_embedding_model.py +++ b/api/core/model_runtime/model_providers/__base/text_embedding_model.py @@ -6,7 +6,7 @@ from core.entities.embedding_type import EmbeddingInputType from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient class TextEmbeddingModel(AIModel): @@ -38,7 +38,7 @@ class TextEmbeddingModel(AIModel): :return: embeddings result """ try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.invoke_text_embedding( tenant_id=self.tenant_id, user_id=user or "unknown", @@ -61,7 +61,7 @@ class TextEmbeddingModel(AIModel): :param texts: texts to embed :return: """ - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.get_text_embedding_num_tokens( tenant_id=self.tenant_id, user_id="unknown", diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py index 2f6f4fbbef..b7db0b78bc 100644 --- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py +++ b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py @@ -30,6 +30,8 @@ class GPT2Tokenizer: @staticmethod def get_encoder() -> Any: global _tokenizer, _lock + if _tokenizer is not None: + return _tokenizer with _lock: if _tokenizer is None: # Try to use tiktoken to get the tokenizer because it is faster diff --git a/api/core/model_runtime/model_providers/__base/tts_model.py b/api/core/model_runtime/model_providers/__base/tts_model.py index 1f248d11ac..d51831900c 100644 --- a/api/core/model_runtime/model_providers/__base/tts_model.py +++ b/api/core/model_runtime/model_providers/__base/tts_model.py @@ -6,7 +6,7 @@ from pydantic import ConfigDict from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient logger = logging.getLogger(__name__) @@ -42,7 +42,7 @@ class TTSModel(AIModel): :return: translated audio file """ try: - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.invoke_tts( tenant_id=self.tenant_id, user_id=user or "unknown", @@ -65,7 +65,7 @@ class TTSModel(AIModel): :param credentials: The credentials required to access the TTS model. :return: A list of voices supported by the TTS model. """ - plugin_model_manager = PluginModelManager() + plugin_model_manager = PluginModelClient() return plugin_model_manager.get_tts_model_voices( tenant_id=self.tenant_id, user_id="unknown", diff --git a/api/core/model_runtime/model_providers/model_provider_factory.py b/api/core/model_runtime/model_providers/model_provider_factory.py index d2fd4916a4..ad46f64ec3 100644 --- a/api/core/model_runtime/model_providers/model_provider_factory.py +++ b/api/core/model_runtime/model_providers/model_provider_factory.py @@ -22,8 +22,8 @@ from core.model_runtime.schema_validators.model_credential_schema_validator impo from core.model_runtime.schema_validators.provider_credential_schema_validator import ProviderCredentialSchemaValidator from core.plugin.entities.plugin import ModelProviderID from core.plugin.entities.plugin_daemon import PluginModelProviderEntity -from core.plugin.manager.asset import PluginAssetManager -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.asset import PluginAssetManager +from core.plugin.impl.model import PluginModelClient logger = logging.getLogger(__name__) @@ -40,7 +40,7 @@ class ModelProviderFactory: self.provider_position_map = {} self.tenant_id = tenant_id - self.plugin_model_manager = PluginModelManager() + self.plugin_model_manager = PluginModelClient() if not self.provider_position_map: # get the path of current classes diff --git a/api/core/model_runtime/utils/helper.py b/api/core/model_runtime/utils/helper.py index 5e8a723ec7..53789a8e91 100644 --- a/api/core/model_runtime/utils/helper.py +++ b/api/core/model_runtime/utils/helper.py @@ -1,6 +1,8 @@ import pydantic from pydantic import BaseModel +from core.model_runtime.entities.message_entities import PromptMessageContentUnionTypes + def dump_model(model: BaseModel) -> dict: if hasattr(pydantic, "model_dump"): @@ -8,3 +10,18 @@ def dump_model(model: BaseModel) -> dict: return pydantic.model_dump(model) # type: ignore else: return model.model_dump() + + +def convert_llm_result_chunk_to_str(content: None | str | list[PromptMessageContentUnionTypes]) -> str: + if content is None: + message_text = "" + elif isinstance(content, str): + message_text = content + elif isinstance(content, list): + # Assuming the list contains PromptMessageContent objects with a "data" attribute + message_text = "".join( + item.data if hasattr(item, "data") and isinstance(item.data, str) else str(item) for item in content + ) + else: + message_text = str(content) + return message_text diff --git a/api/core/moderation/api/__builtin__ b/api/core/moderation/api/__builtin__ index e440e5c842..00750edc07 100644 --- a/api/core/moderation/api/__builtin__ +++ b/api/core/moderation/api/__builtin__ @@ -1 +1 @@ -3 \ No newline at end of file +3 diff --git a/api/core/moderation/keywords/__builtin__ b/api/core/moderation/keywords/__builtin__ index d8263ee986..0cfbf08886 100644 --- a/api/core/moderation/keywords/__builtin__ +++ b/api/core/moderation/keywords/__builtin__ @@ -1 +1 @@ -2 \ No newline at end of file +2 diff --git a/api/core/moderation/openai_moderation/__builtin__ b/api/core/moderation/openai_moderation/__builtin__ index 56a6051ca2..d00491fd7e 100644 --- a/api/core/moderation/openai_moderation/__builtin__ +++ b/api/core/moderation/openai_moderation/__builtin__ @@ -1 +1 @@ -1 \ No newline at end of file +1 diff --git a/api/core/moderation/output_moderation.py b/api/core/moderation/output_moderation.py index e595be126c..2ec315417f 100644 --- a/api/core/moderation/output_moderation.py +++ b/api/core/moderation/output_moderation.py @@ -46,14 +46,14 @@ class OutputModeration(BaseModel): if not self.thread: self.thread = self.start_thread() - def moderation_completion(self, completion: str, public_event: bool = False) -> str: + def moderation_completion(self, completion: str, public_event: bool = False) -> tuple[str, bool]: self.buffer = completion self.is_final_chunk = True result = self.moderation(tenant_id=self.tenant_id, app_id=self.app_id, moderation_buffer=completion) if not result or not result.flagged: - return completion + return completion, False if result.action == ModerationAction.DIRECT_OUTPUT: final_output = result.preset_response @@ -61,9 +61,14 @@ class OutputModeration(BaseModel): final_output = result.text if public_event: - self.queue_manager.publish(QueueMessageReplaceEvent(text=final_output), PublishFrom.TASK_PIPELINE) + self.queue_manager.publish( + QueueMessageReplaceEvent( + text=final_output, reason=QueueMessageReplaceEvent.MessageReplaceReason.OUTPUT_MODERATION + ), + PublishFrom.TASK_PIPELINE, + ) - return final_output + return final_output, True def start_thread(self) -> threading.Thread: buffer_size = dify_config.MODERATION_BUFFER_SIZE @@ -112,7 +117,12 @@ class OutputModeration(BaseModel): # trigger replace event if self.thread_running: - self.queue_manager.publish(QueueMessageReplaceEvent(text=final_output), PublishFrom.TASK_PIPELINE) + self.queue_manager.publish( + QueueMessageReplaceEvent( + text=final_output, reason=QueueMessageReplaceEvent.MessageReplaceReason.OUTPUT_MODERATION + ), + PublishFrom.TASK_PIPELINE, + ) if result.action == ModerationAction.DIRECT_OUTPUT: break diff --git a/api/core/ops/entities/config_entity.py b/api/core/ops/entities/config_entity.py index b484242b61..874b2800b2 100644 --- a/api/core/ops/entities/config_entity.py +++ b/api/core/ops/entities/config_entity.py @@ -7,6 +7,7 @@ class TracingProviderEnum(Enum): LANGFUSE = "langfuse" LANGSMITH = "langsmith" OPIK = "opik" + WEAVE = "weave" class BaseTracingConfig(BaseModel): @@ -88,5 +89,26 @@ class OpikConfig(BaseTracingConfig): return v +class WeaveConfig(BaseTracingConfig): + """ + Model class for Weave tracing config. + """ + + api_key: str + entity: str | None = None + project: str + endpoint: str = "https://trace.wandb.ai" + + @field_validator("endpoint") + @classmethod + def set_value(cls, v, info: ValidationInfo): + if v is None or v == "": + v = "https://trace.wandb.ai" + if not v.startswith("https://"): + raise ValueError("endpoint must start with https://") + + return v + + OPS_FILE_PATH = "ops_trace/" OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE" diff --git a/api/core/ops/langfuse_trace/langfuse_trace.py b/api/core/ops/langfuse_trace/langfuse_trace.py index f67e270ab1..b229d244f7 100644 --- a/api/core/ops/langfuse_trace/langfuse_trace.py +++ b/api/core/ops/langfuse_trace/langfuse_trace.py @@ -5,6 +5,7 @@ from datetime import datetime, timedelta from typing import Optional from langfuse import Langfuse # type: ignore +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import LangfuseConfig @@ -28,9 +29,9 @@ from core.ops.langfuse_trace.entities.langfuse_trace_entity import ( UnitEnum, ) from core.ops.utils import filter_none_values +from core.workflow.repository.repository_factory import RepositoryFactory from extensions.ext_database import db from models.model import EndUser -from models.workflow import WorkflowNodeExecution logger = logging.getLogger(__name__) @@ -110,36 +111,18 @@ class LangFuseDataTrace(BaseTraceInstance): ) self.add_trace(langfuse_trace_data=trace_data) - # through workflow_run_id get all_nodes_execution - workflow_nodes_execution_id_records = ( - db.session.query(WorkflowNodeExecution.id) - .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id) - .all() + # through workflow_run_id get all_nodes_execution using repository + session_factory = sessionmaker(bind=db.engine) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={"tenant_id": trace_info.tenant_id, "session_factory": session_factory}, ) - for node_execution_id_record in workflow_nodes_execution_id_records: - node_execution = ( - db.session.query( - WorkflowNodeExecution.id, - WorkflowNodeExecution.tenant_id, - WorkflowNodeExecution.app_id, - WorkflowNodeExecution.title, - WorkflowNodeExecution.node_type, - WorkflowNodeExecution.status, - WorkflowNodeExecution.inputs, - WorkflowNodeExecution.outputs, - WorkflowNodeExecution.created_at, - WorkflowNodeExecution.elapsed_time, - WorkflowNodeExecution.process_data, - WorkflowNodeExecution.execution_metadata, - ) - .filter(WorkflowNodeExecution.id == node_execution_id_record.id) - .first() - ) - - if not node_execution: - continue + # Get all executions for this workflow run + workflow_node_executions = workflow_node_execution_repository.get_by_workflow_run( + workflow_run_id=trace_info.workflow_run_id + ) + for node_execution in workflow_node_executions: node_execution_id = node_execution.id tenant_id = node_execution.tenant_id app_id = node_execution.app_id diff --git a/api/core/ops/langsmith_trace/langsmith_trace.py b/api/core/ops/langsmith_trace/langsmith_trace.py index e3494e2f23..78a51ff36e 100644 --- a/api/core/ops/langsmith_trace/langsmith_trace.py +++ b/api/core/ops/langsmith_trace/langsmith_trace.py @@ -7,6 +7,7 @@ from typing import Optional, cast from langsmith import Client from langsmith.schemas import RunBase +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import LangSmithConfig @@ -27,9 +28,9 @@ from core.ops.langsmith_trace.entities.langsmith_trace_entity import ( LangSmithRunUpdateModel, ) from core.ops.utils import filter_none_values, generate_dotted_order +from core.workflow.repository.repository_factory import RepositoryFactory from extensions.ext_database import db from models.model import EndUser, MessageFile -from models.workflow import WorkflowNodeExecution logger = logging.getLogger(__name__) @@ -134,36 +135,22 @@ class LangSmithDataTrace(BaseTraceInstance): self.add_run(langsmith_run) - # through workflow_run_id get all_nodes_execution - workflow_nodes_execution_id_records = ( - db.session.query(WorkflowNodeExecution.id) - .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id) - .all() + # through workflow_run_id get all_nodes_execution using repository + session_factory = sessionmaker(bind=db.engine) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": trace_info.tenant_id, + "app_id": trace_info.metadata.get("app_id"), + "session_factory": session_factory, + }, ) - for node_execution_id_record in workflow_nodes_execution_id_records: - node_execution = ( - db.session.query( - WorkflowNodeExecution.id, - WorkflowNodeExecution.tenant_id, - WorkflowNodeExecution.app_id, - WorkflowNodeExecution.title, - WorkflowNodeExecution.node_type, - WorkflowNodeExecution.status, - WorkflowNodeExecution.inputs, - WorkflowNodeExecution.outputs, - WorkflowNodeExecution.created_at, - WorkflowNodeExecution.elapsed_time, - WorkflowNodeExecution.process_data, - WorkflowNodeExecution.execution_metadata, - ) - .filter(WorkflowNodeExecution.id == node_execution_id_record.id) - .first() - ) - - if not node_execution: - continue + # Get all executions for this workflow run + workflow_node_executions = workflow_node_execution_repository.get_by_workflow_run( + workflow_run_id=trace_info.workflow_run_id + ) + for node_execution in workflow_node_executions: node_execution_id = node_execution.id tenant_id = node_execution.tenant_id app_id = node_execution.app_id diff --git a/api/core/ops/opik_trace/opik_trace.py b/api/core/ops/opik_trace/opik_trace.py index fabf38fbd6..a14b5afb8e 100644 --- a/api/core/ops/opik_trace/opik_trace.py +++ b/api/core/ops/opik_trace/opik_trace.py @@ -7,6 +7,7 @@ from typing import Optional, cast from opik import Opik, Trace from opik.id_helpers import uuid4_to_uuid7 +from sqlalchemy.orm import sessionmaker from core.ops.base_trace_instance import BaseTraceInstance from core.ops.entities.config_entity import OpikConfig @@ -21,9 +22,9 @@ from core.ops.entities.trace_entity import ( TraceTaskName, WorkflowTraceInfo, ) +from core.workflow.repository.repository_factory import RepositoryFactory from extensions.ext_database import db from models.model import EndUser, MessageFile -from models.workflow import WorkflowNodeExecution logger = logging.getLogger(__name__) @@ -147,36 +148,22 @@ class OpikDataTrace(BaseTraceInstance): } self.add_trace(trace_data) - # through workflow_run_id get all_nodes_execution - workflow_nodes_execution_id_records = ( - db.session.query(WorkflowNodeExecution.id) - .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id) - .all() + # through workflow_run_id get all_nodes_execution using repository + session_factory = sessionmaker(bind=db.engine) + workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": trace_info.tenant_id, + "app_id": trace_info.metadata.get("app_id"), + "session_factory": session_factory, + }, ) - for node_execution_id_record in workflow_nodes_execution_id_records: - node_execution = ( - db.session.query( - WorkflowNodeExecution.id, - WorkflowNodeExecution.tenant_id, - WorkflowNodeExecution.app_id, - WorkflowNodeExecution.title, - WorkflowNodeExecution.node_type, - WorkflowNodeExecution.status, - WorkflowNodeExecution.inputs, - WorkflowNodeExecution.outputs, - WorkflowNodeExecution.created_at, - WorkflowNodeExecution.elapsed_time, - WorkflowNodeExecution.process_data, - WorkflowNodeExecution.execution_metadata, - ) - .filter(WorkflowNodeExecution.id == node_execution_id_record.id) - .first() - ) - - if not node_execution: - continue + # Get all executions for this workflow run + workflow_node_executions = workflow_node_execution_repository.get_by_workflow_run( + workflow_run_id=trace_info.workflow_run_id + ) + for node_execution in workflow_node_executions: node_execution_id = node_execution.id tenant_id = node_execution.tenant_id app_id = node_execution.app_id diff --git a/api/core/ops/ops_trace_manager.py b/api/core/ops/ops_trace_manager.py index f388225cc4..2c68055f87 100644 --- a/api/core/ops/ops_trace_manager.py +++ b/api/core/ops/ops_trace_manager.py @@ -20,6 +20,7 @@ from core.ops.entities.config_entity import ( LangSmithConfig, OpikConfig, TracingProviderEnum, + WeaveConfig, ) from core.ops.entities.trace_entity import ( DatasetRetrievalTraceInfo, @@ -34,7 +35,9 @@ from core.ops.entities.trace_entity import ( ) from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace +from core.ops.opik_trace.opik_trace import OpikDataTrace from core.ops.utils import get_message_data +from core.ops.weave_trace.weave_trace import WeaveDataTrace from extensions.ext_database import db from extensions.ext_storage import storage from models.model import App, AppModelConfig, Conversation, Message, MessageFile, TraceAppConfig @@ -43,8 +46,6 @@ from tasks.ops_trace_task import process_trace_tasks def build_opik_trace_instance(config: OpikConfig): - from core.ops.opik_trace.opik_trace import OpikDataTrace - return OpikDataTrace(config) @@ -67,6 +68,12 @@ provider_config_map: dict[str, dict[str, Any]] = { "other_keys": ["project", "url", "workspace"], "trace_instance": lambda config: build_opik_trace_instance(config), }, + TracingProviderEnum.WEAVE.value: { + "config_class": WeaveConfig, + "secret_keys": ["api_key"], + "other_keys": ["project", "entity", "endpoint"], + "trace_instance": WeaveDataTrace, + }, } @@ -453,7 +460,7 @@ class TraceTask: "version": workflow_run_version, "total_tokens": total_tokens, "file_list": file_list, - "triggered_form": workflow_run.triggered_from, + "triggered_from": workflow_run.triggered_from, "user_id": user_id, } diff --git a/api/core/ops/weave_trace/__init__.py b/api/core/ops/weave_trace/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/ops/weave_trace/entities/__init__.py b/api/core/ops/weave_trace/entities/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/ops/weave_trace/entities/weave_trace_entity.py b/api/core/ops/weave_trace/entities/weave_trace_entity.py new file mode 100644 index 0000000000..e423f5ccbb --- /dev/null +++ b/api/core/ops/weave_trace/entities/weave_trace_entity.py @@ -0,0 +1,97 @@ +from typing import Any, Optional, Union + +from pydantic import BaseModel, Field, field_validator +from pydantic_core.core_schema import ValidationInfo + +from core.ops.utils import replace_text_with_content + + +class WeaveTokenUsage(BaseModel): + input_tokens: Optional[int] = None + output_tokens: Optional[int] = None + total_tokens: Optional[int] = None + + +class WeaveMultiModel(BaseModel): + file_list: Optional[list[str]] = Field(None, description="List of files") + + +class WeaveTraceModel(WeaveTokenUsage, WeaveMultiModel): + id: str = Field(..., description="ID of the trace") + op: str = Field(..., description="Name of the operation") + inputs: Optional[Union[str, dict[str, Any], list, None]] = Field(None, description="Inputs of the trace") + outputs: Optional[Union[str, dict[str, Any], list, None]] = Field(None, description="Outputs of the trace") + attributes: Optional[Union[str, dict[str, Any], list, None]] = Field( + None, description="Metadata and attributes associated with trace" + ) + exception: Optional[str] = Field(None, description="Exception message of the trace") + + @field_validator("inputs", "outputs") + @classmethod + def ensure_dict(cls, v, info: ValidationInfo): + field_name = info.field_name + values = info.data + if v == {} or v is None: + return v + usage_metadata = { + "input_tokens": values.get("input_tokens", 0), + "output_tokens": values.get("output_tokens", 0), + "total_tokens": values.get("total_tokens", 0), + } + file_list = values.get("file_list", []) + if isinstance(v, str): + if field_name == "inputs": + return { + "messages": { + "role": "user", + "content": v, + "usage_metadata": usage_metadata, + "file_list": file_list, + }, + } + elif field_name == "outputs": + return { + "choices": { + "role": "ai", + "content": v, + "usage_metadata": usage_metadata, + "file_list": file_list, + }, + } + elif isinstance(v, list): + data = {} + if len(v) > 0 and isinstance(v[0], dict): + # rename text to content + v = replace_text_with_content(data=v) + if field_name == "inputs": + data = { + "messages": [ + dict(msg, **{"usage_metadata": usage_metadata, "file_list": file_list}) for msg in v + ] + if isinstance(v, list) + else v, + } + elif field_name == "outputs": + data = { + "choices": { + "role": "ai", + "content": v, + "usage_metadata": usage_metadata, + "file_list": file_list, + }, + } + return data + else: + return { + "choices": { + "role": "ai" if field_name == "outputs" else "user", + "content": str(v), + "usage_metadata": usage_metadata, + "file_list": file_list, + }, + } + if isinstance(v, dict): + v["usage_metadata"] = usage_metadata + v["file_list"] = file_list + return v + return v diff --git a/api/core/ops/weave_trace/weave_trace.py b/api/core/ops/weave_trace/weave_trace.py new file mode 100644 index 0000000000..49594cb0f1 --- /dev/null +++ b/api/core/ops/weave_trace/weave_trace.py @@ -0,0 +1,420 @@ +import json +import logging +import os +import uuid +from datetime import datetime, timedelta +from typing import Any, Optional, cast + +import wandb +import weave + +from core.ops.base_trace_instance import BaseTraceInstance +from core.ops.entities.config_entity import WeaveConfig +from core.ops.entities.trace_entity import ( + BaseTraceInfo, + DatasetRetrievalTraceInfo, + GenerateNameTraceInfo, + MessageTraceInfo, + ModerationTraceInfo, + SuggestedQuestionTraceInfo, + ToolTraceInfo, + TraceTaskName, + WorkflowTraceInfo, +) +from core.ops.weave_trace.entities.weave_trace_entity import WeaveTraceModel +from extensions.ext_database import db +from models.model import EndUser, MessageFile +from models.workflow import WorkflowNodeExecution + +logger = logging.getLogger(__name__) + + +class WeaveDataTrace(BaseTraceInstance): + def __init__( + self, + weave_config: WeaveConfig, + ): + super().__init__(weave_config) + self.weave_api_key = weave_config.api_key + self.project_name = weave_config.project + self.entity = weave_config.entity + + # Login with API key first + login_status = wandb.login(key=self.weave_api_key, verify=True, relogin=True) + if not login_status: + logger.error("Failed to login to Weights & Biases with the provided API key") + raise ValueError("Weave login failed") + + # Then initialize weave client + self.weave_client = weave.init( + project_name=(f"{self.entity}/{self.project_name}" if self.entity else self.project_name) + ) + self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001") + self.calls: dict[str, Any] = {} + + def get_project_url( + self, + ): + try: + project_url = f"https://wandb.ai/{self.weave_client._project_id()}" + return project_url + except Exception as e: + logger.debug(f"Weave get run url failed: {str(e)}") + raise ValueError(f"Weave get run url failed: {str(e)}") + + def trace(self, trace_info: BaseTraceInfo): + logger.debug(f"Trace info: {trace_info}") + if isinstance(trace_info, WorkflowTraceInfo): + self.workflow_trace(trace_info) + if isinstance(trace_info, MessageTraceInfo): + self.message_trace(trace_info) + if isinstance(trace_info, ModerationTraceInfo): + self.moderation_trace(trace_info) + if isinstance(trace_info, SuggestedQuestionTraceInfo): + self.suggested_question_trace(trace_info) + if isinstance(trace_info, DatasetRetrievalTraceInfo): + self.dataset_retrieval_trace(trace_info) + if isinstance(trace_info, ToolTraceInfo): + self.tool_trace(trace_info) + if isinstance(trace_info, GenerateNameTraceInfo): + self.generate_name_trace(trace_info) + + def workflow_trace(self, trace_info: WorkflowTraceInfo): + trace_id = trace_info.message_id or trace_info.workflow_run_id + if trace_info.start_time is None: + trace_info.start_time = datetime.now() + + if trace_info.message_id: + message_attributes = trace_info.metadata + message_attributes["workflow_app_log_id"] = trace_info.workflow_app_log_id + + message_attributes["message_id"] = trace_info.message_id + message_attributes["workflow_run_id"] = trace_info.workflow_run_id + message_attributes["trace_id"] = trace_id + message_attributes["start_time"] = trace_info.start_time + message_attributes["end_time"] = trace_info.end_time + message_attributes["tags"] = ["message", "workflow"] + + message_run = WeaveTraceModel( + id=trace_info.message_id, + op=str(TraceTaskName.MESSAGE_TRACE.value), + inputs=dict(trace_info.workflow_run_inputs), + outputs=dict(trace_info.workflow_run_outputs), + total_tokens=trace_info.total_tokens, + attributes=message_attributes, + exception=trace_info.error, + file_list=[], + ) + self.start_call(message_run, parent_run_id=trace_info.workflow_run_id) + self.finish_call(message_run) + + workflow_attributes = trace_info.metadata + workflow_attributes["workflow_run_id"] = trace_info.workflow_run_id + workflow_attributes["trace_id"] = trace_id + workflow_attributes["start_time"] = trace_info.start_time + workflow_attributes["end_time"] = trace_info.end_time + workflow_attributes["tags"] = ["workflow"] + + workflow_run = WeaveTraceModel( + file_list=trace_info.file_list, + total_tokens=trace_info.total_tokens, + id=trace_info.workflow_run_id, + op=str(TraceTaskName.WORKFLOW_TRACE.value), + inputs=dict(trace_info.workflow_run_inputs), + outputs=dict(trace_info.workflow_run_outputs), + attributes=workflow_attributes, + exception=trace_info.error, + ) + + self.start_call(workflow_run, parent_run_id=trace_info.message_id) + + # through workflow_run_id get all_nodes_execution + workflow_nodes_execution_id_records = ( + db.session.query(WorkflowNodeExecution.id) + .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id) + .all() + ) + + for node_execution_id_record in workflow_nodes_execution_id_records: + node_execution = ( + db.session.query( + WorkflowNodeExecution.id, + WorkflowNodeExecution.tenant_id, + WorkflowNodeExecution.app_id, + WorkflowNodeExecution.title, + WorkflowNodeExecution.node_type, + WorkflowNodeExecution.status, + WorkflowNodeExecution.inputs, + WorkflowNodeExecution.outputs, + WorkflowNodeExecution.created_at, + WorkflowNodeExecution.elapsed_time, + WorkflowNodeExecution.process_data, + WorkflowNodeExecution.execution_metadata, + ) + .filter(WorkflowNodeExecution.id == node_execution_id_record.id) + .first() + ) + + if not node_execution: + continue + + node_execution_id = node_execution.id + tenant_id = node_execution.tenant_id + app_id = node_execution.app_id + node_name = node_execution.title + node_type = node_execution.node_type + status = node_execution.status + if node_type == "llm": + inputs = ( + json.loads(node_execution.process_data).get("prompts", {}) if node_execution.process_data else {} + ) + else: + inputs = json.loads(node_execution.inputs) if node_execution.inputs else {} + outputs = json.loads(node_execution.outputs) if node_execution.outputs else {} + created_at = node_execution.created_at or datetime.now() + elapsed_time = node_execution.elapsed_time + finished_at = created_at + timedelta(seconds=elapsed_time) + + execution_metadata = ( + json.loads(node_execution.execution_metadata) if node_execution.execution_metadata else {} + ) + node_total_tokens = execution_metadata.get("total_tokens", 0) + attributes = execution_metadata.copy() + attributes.update( + { + "workflow_run_id": trace_info.workflow_run_id, + "node_execution_id": node_execution_id, + "tenant_id": tenant_id, + "app_id": app_id, + "app_name": node_name, + "node_type": node_type, + "status": status, + } + ) + + process_data = json.loads(node_execution.process_data) if node_execution.process_data else {} + if process_data and process_data.get("model_mode") == "chat": + attributes.update( + { + "ls_provider": process_data.get("model_provider", ""), + "ls_model_name": process_data.get("model_name", ""), + } + ) + attributes["tags"] = ["node_execution"] + attributes["start_time"] = created_at + attributes["end_time"] = finished_at + attributes["elapsed_time"] = elapsed_time + attributes["workflow_run_id"] = trace_info.workflow_run_id + attributes["trace_id"] = trace_id + node_run = WeaveTraceModel( + total_tokens=node_total_tokens, + op=node_type, + inputs=inputs, + outputs=outputs, + file_list=trace_info.file_list, + attributes=attributes, + id=node_execution_id, + exception=None, + ) + + self.start_call(node_run, parent_run_id=trace_info.workflow_run_id) + self.finish_call(node_run) + + self.finish_call(workflow_run) + + def message_trace(self, trace_info: MessageTraceInfo): + # get message file data + file_list = cast(list[str], trace_info.file_list) or [] + message_file_data: Optional[MessageFile] = trace_info.message_file_data + file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else "" + file_list.append(file_url) + attributes = trace_info.metadata + message_data = trace_info.message_data + if message_data is None: + return + message_id = message_data.id + + user_id = message_data.from_account_id + attributes["user_id"] = user_id + + if message_data.from_end_user_id: + end_user_data: Optional[EndUser] = ( + db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first() + ) + if end_user_data is not None: + end_user_id = end_user_data.session_id + attributes["end_user_id"] = end_user_id + + attributes["message_id"] = message_id + attributes["start_time"] = trace_info.start_time + attributes["end_time"] = trace_info.end_time + attributes["tags"] = ["message", str(trace_info.conversation_mode)] + message_run = WeaveTraceModel( + id=message_id, + op=str(TraceTaskName.MESSAGE_TRACE.value), + input_tokens=trace_info.message_tokens, + output_tokens=trace_info.answer_tokens, + total_tokens=trace_info.total_tokens, + inputs=trace_info.inputs, + outputs=trace_info.outputs, + exception=trace_info.error, + file_list=file_list, + attributes=attributes, + ) + self.start_call(message_run) + + # create llm run parented to message run + llm_run = WeaveTraceModel( + id=str(uuid.uuid4()), + input_tokens=trace_info.message_tokens, + output_tokens=trace_info.answer_tokens, + total_tokens=trace_info.total_tokens, + op="llm", + inputs=trace_info.inputs, + outputs=trace_info.outputs, + attributes=attributes, + file_list=[], + exception=None, + ) + self.start_call( + llm_run, + parent_run_id=message_id, + ) + self.finish_call(llm_run) + self.finish_call(message_run) + + def moderation_trace(self, trace_info: ModerationTraceInfo): + if trace_info.message_data is None: + return + + attributes = trace_info.metadata + attributes["tags"] = ["moderation"] + attributes["message_id"] = trace_info.message_id + attributes["start_time"] = trace_info.start_time or trace_info.message_data.created_at + attributes["end_time"] = trace_info.end_time or trace_info.message_data.updated_at + + moderation_run = WeaveTraceModel( + id=str(uuid.uuid4()), + op=str(TraceTaskName.MODERATION_TRACE.value), + inputs=trace_info.inputs, + outputs={ + "action": trace_info.action, + "flagged": trace_info.flagged, + "preset_response": trace_info.preset_response, + "inputs": trace_info.inputs, + }, + attributes=attributes, + exception=getattr(trace_info, "error", None), + file_list=[], + ) + self.start_call(moderation_run, parent_run_id=trace_info.message_id) + self.finish_call(moderation_run) + + def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo): + message_data = trace_info.message_data + if message_data is None: + return + attributes = trace_info.metadata + attributes["message_id"] = trace_info.message_id + attributes["tags"] = ["suggested_question"] + attributes["start_time"] = (trace_info.start_time or message_data.created_at,) + attributes["end_time"] = (trace_info.end_time or message_data.updated_at,) + + suggested_question_run = WeaveTraceModel( + id=str(uuid.uuid4()), + op=str(TraceTaskName.SUGGESTED_QUESTION_TRACE.value), + inputs=trace_info.inputs, + outputs=trace_info.suggested_question, + attributes=attributes, + exception=trace_info.error, + file_list=[], + ) + + self.start_call(suggested_question_run, parent_run_id=trace_info.message_id) + self.finish_call(suggested_question_run) + + def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo): + if trace_info.message_data is None: + return + attributes = trace_info.metadata + attributes["message_id"] = trace_info.message_id + attributes["tags"] = ["dataset_retrieval"] + attributes["start_time"] = (trace_info.start_time or trace_info.message_data.created_at,) + attributes["end_time"] = (trace_info.end_time or trace_info.message_data.updated_at,) + + dataset_retrieval_run = WeaveTraceModel( + id=str(uuid.uuid4()), + op=str(TraceTaskName.DATASET_RETRIEVAL_TRACE.value), + inputs=trace_info.inputs, + outputs={"documents": trace_info.documents}, + attributes=attributes, + exception=getattr(trace_info, "error", None), + file_list=[], + ) + + self.start_call(dataset_retrieval_run, parent_run_id=trace_info.message_id) + self.finish_call(dataset_retrieval_run) + + def tool_trace(self, trace_info: ToolTraceInfo): + attributes = trace_info.metadata + attributes["tags"] = ["tool", trace_info.tool_name] + attributes["start_time"] = trace_info.start_time + attributes["end_time"] = trace_info.end_time + + tool_run = WeaveTraceModel( + id=str(uuid.uuid4()), + op=trace_info.tool_name, + inputs=trace_info.tool_inputs, + outputs=trace_info.tool_outputs, + file_list=[cast(str, trace_info.file_url)] if trace_info.file_url else [], + attributes=attributes, + exception=trace_info.error, + ) + message_id = trace_info.message_id or getattr(trace_info, "conversation_id", None) + message_id = message_id or None + self.start_call(tool_run, parent_run_id=message_id) + self.finish_call(tool_run) + + def generate_name_trace(self, trace_info: GenerateNameTraceInfo): + attributes = trace_info.metadata + attributes["tags"] = ["generate_name"] + attributes["start_time"] = trace_info.start_time + attributes["end_time"] = trace_info.end_time + + name_run = WeaveTraceModel( + id=str(uuid.uuid4()), + op=str(TraceTaskName.GENERATE_NAME_TRACE.value), + inputs=trace_info.inputs, + outputs=trace_info.outputs, + attributes=attributes, + exception=getattr(trace_info, "error", None), + file_list=[], + ) + + self.start_call(name_run) + self.finish_call(name_run) + + def api_check(self): + try: + login_status = wandb.login(key=self.weave_api_key, verify=True, relogin=True) + if not login_status: + raise ValueError("Weave login failed") + else: + print("Weave login successful") + return True + except Exception as e: + logger.debug(f"Weave API check failed: {str(e)}") + raise ValueError(f"Weave API check failed: {str(e)}") + + def start_call(self, run_data: WeaveTraceModel, parent_run_id: Optional[str] = None): + call = self.weave_client.create_call(op=run_data.op, inputs=run_data.inputs, attributes=run_data.attributes) + self.calls[run_data.id] = call + if parent_run_id: + self.calls[run_data.id].parent_id = parent_run_id + + def finish_call(self, run_data: WeaveTraceModel): + call = self.calls.get(run_data.id) + if call: + self.weave_client.finish_call(call=call, output=run_data.outputs, exception=run_data.exception) + else: + raise ValueError(f"Call with id {run_data.id} not found") diff --git a/api/core/plugin/backwards_invocation/app.py b/api/core/plugin/backwards_invocation/app.py index 29873b508f..4e43561a15 100644 --- a/api/core/plugin/backwards_invocation/app.py +++ b/api/core/plugin/backwards_invocation/app.py @@ -2,6 +2,7 @@ from collections.abc import Generator, Mapping from typing import Optional, Union from controllers.service_api.wraps import create_or_update_end_user_for_user_id +from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict from core.app.apps.advanced_chat.app_generator import AdvancedChatAppGenerator from core.app.apps.agent_chat.app_generator import AgentChatAppGenerator from core.app.apps.chat.app_generator import ChatAppGenerator @@ -15,6 +16,34 @@ from models.model import App, AppMode, EndUser class PluginAppBackwardsInvocation(BaseBackwardsInvocation): + @classmethod + def fetch_app_info(cls, app_id: str, tenant_id: str) -> Mapping: + """ + Fetch app info + """ + app = cls._get_app(app_id, tenant_id) + + """Retrieve app parameters.""" + if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}: + workflow = app.workflow + if workflow is None: + raise ValueError("unexpected app type") + + features_dict = workflow.features_dict + user_input_form = workflow.user_input_form(to_old_structure=True) + else: + app_model_config = app.app_model_config + if app_model_config is None: + raise ValueError("unexpected app type") + + features_dict = app_model_config.to_dict() + + user_input_form = features_dict.get("user_input_form", []) + + return { + "data": get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form), + } + @classmethod def invoke_app( cls, @@ -43,7 +72,7 @@ class PluginAppBackwardsInvocation(BaseBackwardsInvocation): raise ValueError("missing query") return cls.invoke_chat_app(app, user, conversation_id, query, stream, inputs, files) - elif app.mode == AppMode.WORKFLOW.value: + elif app.mode == AppMode.WORKFLOW: return cls.invoke_workflow_app(app, user, stream, inputs, files) elif app.mode == AppMode.COMPLETION: return cls.invoke_completion_app(app, user, stream, inputs, files) diff --git a/api/core/plugin/backwards_invocation/model.py b/api/core/plugin/backwards_invocation/model.py index 490a475c16..5ec9620f22 100644 --- a/api/core/plugin/backwards_invocation/model.py +++ b/api/core/plugin/backwards_invocation/model.py @@ -239,8 +239,8 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation): content = payload.text SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language -and you can quickly aimed at the main point of an webpage and reproduce it in your own words but -retain the original meaning and keep the key points. +and you can quickly aimed at the main point of an webpage and reproduce it in your own words but +retain the original meaning and keep the key points. however, the text you got is too long, what you got is possible a part of the text. Please summarize the text you got. diff --git a/api/core/plugin/backwards_invocation/node.py b/api/core/plugin/backwards_invocation/node.py index f402da030f..db07e52f3f 100644 --- a/api/core/plugin/backwards_invocation/node.py +++ b/api/core/plugin/backwards_invocation/node.py @@ -39,6 +39,7 @@ class PluginNodeBackwardsInvocation(BaseBackwardsInvocation): :param query: str :return: dict """ + # FIXME(-LAN-): Avoid import service into core workflow_service = WorkflowService() node_id = "1919810" node_data = ParameterExtractorNodeData( @@ -89,6 +90,7 @@ class PluginNodeBackwardsInvocation(BaseBackwardsInvocation): :param query: str :return: dict """ + # FIXME(-LAN-): Avoid import service into core workflow_service = WorkflowService() node_id = "1919810" node_data = QuestionClassifierNodeData( diff --git a/api/core/plugin/entities/parameters.py b/api/core/plugin/entities/parameters.py index 7d858bd7d5..895dd0d0fc 100644 --- a/api/core/plugin/entities/parameters.py +++ b/api/core/plugin/entities/parameters.py @@ -131,7 +131,7 @@ def cast_parameter_value(typ: enum.StrEnum, value: Any, /): raise ValueError("The selector must be a dictionary.") return value case PluginParameterType.TOOLS_SELECTOR: - if not isinstance(value, list): + if value and not isinstance(value, list): raise ValueError("The tools selector must be a list.") return value case _: @@ -147,7 +147,7 @@ def init_frontend_parameter(rule: PluginParameter, type: enum.StrEnum, value: An init frontend parameter by rule """ parameter_value = value - if not parameter_value and parameter_value != 0 and type != PluginParameterType.TOOLS_SELECTOR: + if not parameter_value and parameter_value != 0: # get default value parameter_value = rule.default if not parameter_value and rule.required: diff --git a/api/core/plugin/entities/plugin.py b/api/core/plugin/entities/plugin.py index 421c16093d..07ed94380a 100644 --- a/api/core/plugin/entities/plugin.py +++ b/api/core/plugin/entities/plugin.py @@ -70,6 +70,9 @@ class PluginDeclaration(BaseModel): models: Optional[list[str]] = Field(default_factory=list) endpoints: Optional[list[str]] = Field(default_factory=list) + class Meta(BaseModel): + minimum_dify_version: Optional[str] = Field(default=None, pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$") + version: str = Field(..., pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$") author: Optional[str] = Field(..., pattern=r"^[a-zA-Z0-9_-]{1,64}$") name: str = Field(..., pattern=r"^[a-z0-9_-]{1,128}$") @@ -86,6 +89,7 @@ class PluginDeclaration(BaseModel): model: Optional[ProviderEntity] = None endpoint: Optional[EndpointProviderDeclaration] = None agent_strategy: Optional[AgentStrategyProviderEntity] = None + meta: Meta @model_validator(mode="before") @classmethod diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py index 1588cbc3c7..2bea07bea0 100644 --- a/api/core/plugin/entities/plugin_daemon.py +++ b/api/core/plugin/entities/plugin_daemon.py @@ -1,6 +1,7 @@ +from collections.abc import Mapping from datetime import datetime from enum import StrEnum -from typing import Generic, Optional, TypeVar +from typing import Any, Generic, Optional, TypeVar from pydantic import BaseModel, ConfigDict, Field @@ -158,3 +159,11 @@ class PluginInstallTaskStartResponse(BaseModel): class PluginUploadResponse(BaseModel): unique_identifier: str = Field(description="The unique identifier of the plugin.") manifest: PluginDeclaration + + +class PluginOAuthAuthorizationUrlResponse(BaseModel): + authorization_url: str = Field(description="The URL of the authorization.") + + +class PluginOAuthCredentialsResponse(BaseModel): + credentials: Mapping[str, Any] = Field(description="The credentials of the OAuth.") diff --git a/api/core/plugin/entities/request.py b/api/core/plugin/entities/request.py index 837dcf59c4..6c0c7f2868 100644 --- a/api/core/plugin/entities/request.py +++ b/api/core/plugin/entities/request.py @@ -204,3 +204,11 @@ class RequestRequestUploadFile(BaseModel): filename: str mimetype: str + + +class RequestFetchAppInfo(BaseModel): + """ + Request to fetch app info + """ + + app_id: str diff --git a/api/core/plugin/manager/agent.py b/api/core/plugin/impl/agent.py similarity index 97% rename from api/core/plugin/manager/agent.py rename to api/core/plugin/impl/agent.py index 50172f12f2..66b77c7489 100644 --- a/api/core/plugin/manager/agent.py +++ b/api/core/plugin/impl/agent.py @@ -6,10 +6,10 @@ from core.plugin.entities.plugin import GenericProviderID from core.plugin.entities.plugin_daemon import ( PluginAgentProviderEntity, ) -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginAgentManager(BasePluginManager): +class PluginAgentClient(BasePluginClient): def fetch_agent_strategy_providers(self, tenant_id: str) -> list[PluginAgentProviderEntity]: """ Fetch agent providers for the given tenant. diff --git a/api/core/plugin/manager/asset.py b/api/core/plugin/impl/asset.py similarity index 76% rename from api/core/plugin/manager/asset.py rename to api/core/plugin/impl/asset.py index 17755d3561..b9bfe2d2cf 100644 --- a/api/core/plugin/manager/asset.py +++ b/api/core/plugin/impl/asset.py @@ -1,7 +1,7 @@ -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginAssetManager(BasePluginManager): +class PluginAssetManager(BasePluginClient): def fetch_asset(self, tenant_id: str, id: str) -> bytes: """ Fetch an asset by id. diff --git a/api/core/plugin/manager/base.py b/api/core/plugin/impl/base.py similarity index 93% rename from api/core/plugin/manager/base.py rename to api/core/plugin/impl/base.py index 7985aa68da..4f1d808a3e 100644 --- a/api/core/plugin/manager/base.py +++ b/api/core/plugin/impl/base.py @@ -18,7 +18,7 @@ from core.model_runtime.errors.invoke import ( ) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse, PluginDaemonError, PluginDaemonInnerError -from core.plugin.manager.exc import ( +from core.plugin.impl.exc import ( PluginDaemonBadRequestError, PluginDaemonInternalServerError, PluginDaemonNotFoundError, @@ -37,7 +37,7 @@ T = TypeVar("T", bound=(BaseModel | dict | list | bool | str)) logger = logging.getLogger(__name__) -class BasePluginManager: +class BasePluginClient: def _request( self, method: str, @@ -82,7 +82,7 @@ class BasePluginManager: Make a stream request to the plugin daemon inner API """ response = self._request(method, path, headers, data, params, files, stream=True) - for line in response.iter_lines(): + for line in response.iter_lines(chunk_size=1024 * 8): line = line.decode("utf-8").strip() if line.startswith("data:"): line = line[5:].strip() @@ -168,16 +168,18 @@ class BasePluginManager: Make a stream request to the plugin daemon inner API and yield the response as a model. """ for line in self._stream_request(method, path, params, headers, data, files): - line_data = None try: - line_data = json.loads(line) - rep = PluginDaemonBasicResponse[type](**line_data) # type: ignore - except Exception: + rep = PluginDaemonBasicResponse[type].model_validate_json(line) # type: ignore + except (ValueError, TypeError): # TODO modify this when line_data has code and message - if line_data and "error" in line_data: - raise ValueError(line_data["error"]) - else: + try: + line_data = json.loads(line) + except (ValueError, TypeError): raise ValueError(line) + # If the dictionary contains the `error` key, use its value as the argument + # for `ValueError`. + # Otherwise, use the `line` to provide better contextual information about the error. + raise ValueError(line_data.get("error", line)) if rep.code != 0: if rep.code == -500: diff --git a/api/core/plugin/manager/debugging.py b/api/core/plugin/impl/debugging.py similarity index 78% rename from api/core/plugin/manager/debugging.py rename to api/core/plugin/impl/debugging.py index fb6bad7fa3..523377895c 100644 --- a/api/core/plugin/manager/debugging.py +++ b/api/core/plugin/impl/debugging.py @@ -1,9 +1,9 @@ from pydantic import BaseModel -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginDebuggingManager(BasePluginManager): +class PluginDebuggingClient(BasePluginClient): def get_debugging_key(self, tenant_id: str) -> str: """ Get the debugging key for the given tenant. diff --git a/api/core/plugin/manager/endpoint.py b/api/core/plugin/impl/endpoint.py similarity index 97% rename from api/core/plugin/manager/endpoint.py rename to api/core/plugin/impl/endpoint.py index 415b981ffb..5b88742be5 100644 --- a/api/core/plugin/manager/endpoint.py +++ b/api/core/plugin/impl/endpoint.py @@ -1,8 +1,8 @@ from core.plugin.entities.endpoint import EndpointEntityWithInstance -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginEndpointManager(BasePluginManager): +class PluginEndpointClient(BasePluginClient): def create_endpoint( self, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict ) -> bool: diff --git a/api/core/plugin/manager/exc.py b/api/core/plugin/impl/exc.py similarity index 100% rename from api/core/plugin/manager/exc.py rename to api/core/plugin/impl/exc.py diff --git a/api/core/plugin/manager/model.py b/api/core/plugin/impl/model.py similarity index 99% rename from api/core/plugin/manager/model.py rename to api/core/plugin/impl/model.py index 5ebc0c2320..f7607eef8d 100644 --- a/api/core/plugin/manager/model.py +++ b/api/core/plugin/impl/model.py @@ -18,10 +18,10 @@ from core.plugin.entities.plugin_daemon import ( PluginTextEmbeddingNumTokensResponse, PluginVoicesResponse, ) -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginModelManager(BasePluginManager): +class PluginModelClient(BasePluginClient): def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]: """ Fetch model providers for the given tenant. diff --git a/api/core/plugin/impl/oauth.py b/api/core/plugin/impl/oauth.py new file mode 100644 index 0000000000..91774984c8 --- /dev/null +++ b/api/core/plugin/impl/oauth.py @@ -0,0 +1,98 @@ +from collections.abc import Mapping +from typing import Any + +from werkzeug import Request + +from core.plugin.entities.plugin_daemon import PluginOAuthAuthorizationUrlResponse, PluginOAuthCredentialsResponse +from core.plugin.impl.base import BasePluginClient + + +class OAuthHandler(BasePluginClient): + def get_authorization_url( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + system_credentials: Mapping[str, Any], + ) -> PluginOAuthAuthorizationUrlResponse: + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/dispatch/oauth/get_authorization_url", + PluginOAuthAuthorizationUrlResponse, + data={ + "user_id": user_id, + "data": { + "provider": provider, + "system_credentials": system_credentials, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + def get_credentials( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + system_credentials: Mapping[str, Any], + request: Request, + ) -> PluginOAuthCredentialsResponse: + """ + Get credentials from the given request. + """ + + # encode request to raw http request + raw_request_bytes = self._convert_request_to_raw_data(request) + + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/dispatch/oauth/get_credentials", + PluginOAuthCredentialsResponse, + data={ + "user_id": user_id, + "data": { + "provider": provider, + "system_credentials": system_credentials, + "raw_request_bytes": raw_request_bytes, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + def _convert_request_to_raw_data(self, request: Request) -> bytes: + """ + Convert a Request object to raw HTTP data. + + Args: + request: The Request object to convert. + + Returns: + The raw HTTP data as bytes. + """ + # Start with the request line + method = request.method + path = request.path + protocol = request.headers.get("HTTP_VERSION", "HTTP/1.1") + raw_data = f"{method} {path} {protocol}\r\n".encode() + + # Add headers + for header_name, header_value in request.headers.items(): + raw_data += f"{header_name}: {header_value}\r\n".encode() + + # Add empty line to separate headers from body + raw_data += b"\r\n" + + # Add body if exists + body = request.get_data(as_text=False) + if body: + raw_data += body + + return raw_data diff --git a/api/core/plugin/manager/plugin.py b/api/core/plugin/impl/plugin.py similarity index 98% rename from api/core/plugin/manager/plugin.py rename to api/core/plugin/impl/plugin.py index 15dcd6cb34..3349463ce5 100644 --- a/api/core/plugin/manager/plugin.py +++ b/api/core/plugin/impl/plugin.py @@ -10,10 +10,10 @@ from core.plugin.entities.plugin import ( PluginInstallationSource, ) from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginInstallTaskStartResponse, PluginUploadResponse -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient -class PluginInstallationManager(BasePluginManager): +class PluginInstaller(BasePluginClient): def fetch_plugin_by_identifier( self, tenant_id: str, diff --git a/api/core/plugin/manager/tool.py b/api/core/plugin/impl/tool.py similarity index 72% rename from api/core/plugin/manager/tool.py rename to api/core/plugin/impl/tool.py index 4c3abd3acf..19b26c8fe3 100644 --- a/api/core/plugin/manager/tool.py +++ b/api/core/plugin/impl/tool.py @@ -5,11 +5,11 @@ from pydantic import BaseModel from core.plugin.entities.plugin import GenericProviderID, ToolProviderID from core.plugin.entities.plugin_daemon import PluginBasicBooleanResponse, PluginToolProviderEntity -from core.plugin.manager.base import BasePluginManager +from core.plugin.impl.base import BasePluginClient from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter -class PluginToolManager(BasePluginManager): +class PluginToolManager(BasePluginClient): def fetch_tool_providers(self, tenant_id: str) -> list[PluginToolProviderEntity]: """ Fetch tool providers for the given tenant. @@ -110,7 +110,62 @@ class PluginToolManager(BasePluginManager): "Content-Type": "application/json", }, ) - return response + + class FileChunk: + """ + Only used for internal processing. + """ + + bytes_written: int + total_length: int + data: bytearray + + def __init__(self, total_length: int): + self.bytes_written = 0 + self.total_length = total_length + self.data = bytearray(total_length) + + files: dict[str, FileChunk] = {} + for resp in response: + if resp.type == ToolInvokeMessage.MessageType.BLOB_CHUNK: + assert isinstance(resp.message, ToolInvokeMessage.BlobChunkMessage) + # Get blob chunk information + chunk_id = resp.message.id + total_length = resp.message.total_length + blob_data = resp.message.blob + is_end = resp.message.end + + # Initialize buffer for this file if it doesn't exist + if chunk_id not in files: + files[chunk_id] = FileChunk(total_length) + + # If this is the final chunk, yield a complete blob message + if is_end: + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.BLOB, + message=ToolInvokeMessage.BlobMessage(blob=files[chunk_id].data), + meta=resp.meta, + ) + else: + # Check if file is too large (30MB limit) + if files[chunk_id].bytes_written + len(blob_data) > 30 * 1024 * 1024: + # Delete the file if it's too large + del files[chunk_id] + # Skip yielding this message + raise ValueError("File is too large which reached the limit of 30MB") + + # Check if single chunk is too large (8KB limit) + if len(blob_data) > 8192: + # Skip yielding this message + raise ValueError("File chunk is too large which reached the limit of 8KB") + + # Append the blob data to the buffer + files[chunk_id].data[ + files[chunk_id].bytes_written : files[chunk_id].bytes_written + len(blob_data) + ] = blob_data + files[chunk_id].bytes_written += len(blob_data) + else: + yield resp def validate_provider_credentials( self, tenant_id: str, user_id: str, provider: str, credentials: dict[str, Any] diff --git a/api/core/prompt/advanced_prompt_transform.py b/api/core/prompt/advanced_prompt_transform.py index c7427f797e..25964ae063 100644 --- a/api/core/prompt/advanced_prompt_transform.py +++ b/api/core/prompt/advanced_prompt_transform.py @@ -9,13 +9,12 @@ from core.memory.token_buffer_memory import TokenBufferMemory from core.model_runtime.entities import ( AssistantPromptMessage, PromptMessage, - PromptMessageContent, PromptMessageRole, SystemPromptMessage, TextPromptMessageContent, UserPromptMessage, ) -from core.model_runtime.entities.message_entities import ImagePromptMessageContent +from core.model_runtime.entities.message_entities import ImagePromptMessageContent, PromptMessageContentUnionTypes from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate, MemoryConfig from core.prompt.prompt_transform import PromptTransform from core.prompt.utils.prompt_template_parser import PromptTemplateParser @@ -125,7 +124,7 @@ class AdvancedPromptTransform(PromptTransform): prompt = Jinja2Formatter.format(prompt, prompt_inputs) if files: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=prompt)) for file in files: prompt_message_contents.append( @@ -201,7 +200,7 @@ class AdvancedPromptTransform(PromptTransform): prompt_messages = self._append_chat_histories(memory, memory_config, prompt_messages, model_config) if files and query is not None: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=query)) for file in files: prompt_message_contents.append( diff --git a/api/core/prompt/prompt_templates/advanced_prompt_templates.py b/api/core/prompt/prompt_templates/advanced_prompt_templates.py index e55966eeee..cfe38bfc6b 100644 --- a/api/core/prompt/prompt_templates/advanced_prompt_templates.py +++ b/api/core/prompt/prompt_templates/advanced_prompt_templates.py @@ -28,7 +28,7 @@ BAICHUAN_CHAT_APP_COMPLETION_PROMPT_CONFIG = { }, "conversation_histories_role": {"user_prefix": "用户", "assistant_prefix": "助手"}, }, - "stop": ["用户:"], + "stop": ["用户："], } BAICHUAN_CHAT_APP_CHAT_PROMPT_CONFIG = { @@ -41,5 +41,5 @@ BAICHUAN_COMPLETION_APP_CHAT_PROMPT_CONFIG = { BAICHUAN_COMPLETION_APP_COMPLETION_PROMPT_CONFIG = { "completion_prompt_config": {"prompt": {"text": "{{#pre_prompt#}}"}}, - "stop": ["用户:"], + "stop": ["用户："], } diff --git a/api/core/prompt/prompt_templates/baichuan_chat.json b/api/core/prompt/prompt_templates/baichuan_chat.json index 03b6a53cff..b3f7cdaa18 100644 --- a/api/core/prompt/prompt_templates/baichuan_chat.json +++ b/api/core/prompt/prompt_templates/baichuan_chat.json @@ -10,4 +10,4 @@ ], "query_prompt": "\n\n用户：{{#query#}}", "stops": ["用户："] -} \ No newline at end of file +} diff --git a/api/core/prompt/prompt_templates/baichuan_completion.json b/api/core/prompt/prompt_templates/baichuan_completion.json index ae8c0dac53..cee9ea47cd 100644 --- a/api/core/prompt/prompt_templates/baichuan_completion.json +++ b/api/core/prompt/prompt_templates/baichuan_completion.json @@ -6,4 +6,4 @@ ], "query_prompt": "{{#query#}}", "stops": null -} \ No newline at end of file +} diff --git a/api/core/prompt/prompt_templates/common_completion.json b/api/core/prompt/prompt_templates/common_completion.json index c148772010..706a8140d1 100644 --- a/api/core/prompt/prompt_templates/common_completion.json +++ b/api/core/prompt/prompt_templates/common_completion.json @@ -6,4 +6,4 @@ ], "query_prompt": "{{#query#}}", "stops": null -} \ No newline at end of file +} diff --git a/api/core/prompt/simple_prompt_transform.py b/api/core/prompt/simple_prompt_transform.py index ad56d84cb6..47808928f7 100644 --- a/api/core/prompt/simple_prompt_transform.py +++ b/api/core/prompt/simple_prompt_transform.py @@ -11,7 +11,7 @@ from core.memory.token_buffer_memory import TokenBufferMemory from core.model_runtime.entities.message_entities import ( ImagePromptMessageContent, PromptMessage, - PromptMessageContent, + PromptMessageContentUnionTypes, SystemPromptMessage, TextPromptMessageContent, UserPromptMessage, @@ -277,7 +277,7 @@ class SimplePromptTransform(PromptTransform): image_detail_config: Optional[ImagePromptMessageContent.DETAIL] = None, ) -> UserPromptMessage: if files: - prompt_message_contents: list[PromptMessageContent] = [] + prompt_message_contents: list[PromptMessageContentUnionTypes] = [] prompt_message_contents.append(TextPromptMessageContent(data=prompt)) for file in files: prompt_message_contents.append( diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py index 099acfd7f4..7570200175 100644 --- a/api/core/provider_manager.py +++ b/api/core/provider_manager.py @@ -124,6 +124,15 @@ class ProviderManager: # Get All preferred provider types of the workspace provider_name_to_preferred_model_provider_records_dict = self._get_all_preferred_model_providers(tenant_id) + # Ensure that both the original provider name and its ModelProviderID string representation + # are present in the dictionary to handle cases where either form might be used + for provider_name in list(provider_name_to_preferred_model_provider_records_dict.keys()): + provider_id = ModelProviderID(provider_name) + if str(provider_id) not in provider_name_to_preferred_model_provider_records_dict: + # Add the ModelProviderID string representation if it's not already present + provider_name_to_preferred_model_provider_records_dict[str(provider_id)] = ( + provider_name_to_preferred_model_provider_records_dict[provider_name] + ) # Get All provider model settings provider_name_to_provider_model_settings_dict = self._get_all_provider_model_settings(tenant_id) @@ -497,8 +506,8 @@ class ProviderManager: @staticmethod def _init_trial_provider_records( - tenant_id: str, provider_name_to_provider_records_dict: dict[str, list] - ) -> dict[str, list]: + tenant_id: str, provider_name_to_provider_records_dict: dict[str, list[Provider]] + ) -> dict[str, list[Provider]]: """ Initialize trial provider records if not exists. @@ -532,7 +541,7 @@ class ProviderManager: if ProviderQuotaType.TRIAL not in provider_quota_to_provider_record_dict: try: # FIXME ignore the type errork, onyl TrialHostingQuota has limit need to change the logic - provider_record = Provider( + new_provider_record = Provider( tenant_id=tenant_id, # TODO: Use provider name with prefix after the data migration. provider_name=ModelProviderID(provider_name).provider_name, @@ -542,11 +551,12 @@ class ProviderManager: quota_used=0, is_valid=True, ) - db.session.add(provider_record) + db.session.add(new_provider_record) db.session.commit() + provider_name_to_provider_records_dict[provider_name].append(new_provider_record) except IntegrityError: db.session.rollback() - provider_record = ( + existed_provider_record = ( db.session.query(Provider) .filter( Provider.tenant_id == tenant_id, @@ -556,11 +566,14 @@ class ProviderManager: ) .first() ) - if provider_record and not provider_record.is_valid: - provider_record.is_valid = True + if not existed_provider_record: + continue + + if not existed_provider_record.is_valid: + existed_provider_record.is_valid = True db.session.commit() - provider_name_to_provider_records_dict[provider_name].append(provider_record) + provider_name_to_provider_records_dict[provider_name].append(existed_provider_record) return provider_name_to_provider_records_dict diff --git a/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py b/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py index ec9c9d94cc..14481b1f10 100644 --- a/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py +++ b/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py @@ -139,21 +139,25 @@ class AnalyticdbVectorBySql: ) if embedding_dimension is not None: index_name = f"{self._collection_name}_embedding_idx" - cur.execute(f"ALTER TABLE {self.table_name} ALTER COLUMN vector SET STORAGE PLAIN") - cur.execute( - f"CREATE INDEX {index_name} ON {self.table_name} USING ann(vector) " - f"WITH(dim='{embedding_dimension}', distancemeasure='{self.config.metrics}', " - f"pq_enable=0, external_storage=0)" - ) - cur.execute(f"CREATE INDEX ON {self.table_name} USING gin(to_tsvector)") + try: + cur.execute(f"ALTER TABLE {self.table_name} ALTER COLUMN vector SET STORAGE PLAIN") + cur.execute( + f"CREATE INDEX {index_name} ON {self.table_name} USING ann(vector) " + f"WITH(dim='{embedding_dimension}', distancemeasure='{self.config.metrics}', " + f"pq_enable=0, external_storage=0)" + ) + cur.execute(f"CREATE INDEX ON {self.table_name} USING gin(to_tsvector)") + except Exception as e: + if "already exists" not in str(e): + raise e redis_client.set(collection_exist_cache_key, 1, ex=3600) def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): values = [] id_prefix = str(uuid.uuid4()) + "_" sql = f""" - INSERT INTO {self.table_name} - (id, ref_doc_id, vector, page_content, metadata_, to_tsvector) + INSERT INTO {self.table_name} + (id, ref_doc_id, vector, page_content, metadata_, to_tsvector) VALUES (%s, %s, %s, %s, %s, to_tsvector('zh_cn', %s)); """ for i, doc in enumerate(documents): @@ -177,9 +181,11 @@ class AnalyticdbVectorBySql: return cur.fetchone() is not None def delete_by_ids(self, ids: list[str]) -> None: + if not ids: + return with self._get_cursor() as cur: try: - cur.execute(f"DELETE FROM {self.table_name} WHERE ref_doc_id IN %s", (tuple(ids),)) + cur.execute(f"DELETE FROM {self.table_name} WHERE ref_doc_id = ANY(%s)", (ids,)) except Exception as e: if "does not exist" not in str(e): raise e @@ -236,11 +242,11 @@ class AnalyticdbVectorBySql: where_clause += f"AND metadata_->>'document_id' IN ({document_ids})" with self._get_cursor() as cur: cur.execute( - f"""SELECT id, vector, page_content, metadata_, + f"""SELECT id, vector, page_content, metadata_, ts_rank(to_tsvector, to_tsquery_from_text(%s, 'zh_cn'), 32) AS score FROM {self.table_name} WHERE to_tsvector@@to_tsquery_from_text(%s, 'zh_cn') {where_clause} - ORDER BY score DESC + ORDER BY score DESC, id DESC LIMIT {top_k}""", (f"'{query}'", f"'{query}'"), ) diff --git a/api/core/rag/datasource/vdb/huawei/__init__.py b/api/core/rag/datasource/vdb/huawei/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/rag/datasource/vdb/huawei/huawei_cloud_vector.py b/api/core/rag/datasource/vdb/huawei/huawei_cloud_vector.py new file mode 100644 index 0000000000..89423eb160 --- /dev/null +++ b/api/core/rag/datasource/vdb/huawei/huawei_cloud_vector.py @@ -0,0 +1,215 @@ +import json +import logging +import ssl +from typing import Any, Optional + +from elasticsearch import Elasticsearch +from pydantic import BaseModel, model_validator + +from configs import dify_config +from core.rag.datasource.vdb.field import Field +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from core.rag.embedding.embedding_base import Embeddings +from core.rag.models.document import Document +from extensions.ext_redis import redis_client +from models.dataset import Dataset + +logger = logging.getLogger(__name__) + + +def create_ssl_context() -> ssl.SSLContext: + ssl_context = ssl.create_default_context() + ssl_context.check_hostname = False + ssl_context.verify_mode = ssl.CERT_NONE + return ssl_context + + +class HuaweiCloudVectorConfig(BaseModel): + hosts: str + username: str | None + password: str | None + + @model_validator(mode="before") + @classmethod + def validate_config(cls, values: dict) -> dict: + if not values["hosts"]: + raise ValueError("config HOSTS is required") + return values + + def to_elasticsearch_params(self) -> dict[str, Any]: + params = { + "hosts": self.hosts.split(","), + "verify_certs": False, + "ssl_show_warn": False, + "request_timeout": 30000, + "retry_on_timeout": True, + "max_retries": 10, + } + if self.username and self.password: + params["basic_auth"] = (self.username, self.password) + return params + + +class HuaweiCloudVector(BaseVector): + def __init__(self, index_name: str, config: HuaweiCloudVectorConfig): + super().__init__(index_name.lower()) + self._client = Elasticsearch(**config.to_elasticsearch_params()) + + def get_type(self) -> str: + return VectorType.HUAWEI_CLOUD + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + uuids = self._get_uuids(documents) + for i in range(len(documents)): + self._client.index( + index=self._collection_name, + id=uuids[i], + document={ + Field.CONTENT_KEY.value: documents[i].page_content, + Field.VECTOR.value: embeddings[i] or None, + Field.METADATA_KEY.value: documents[i].metadata or {}, + }, + ) + self._client.indices.refresh(index=self._collection_name) + return uuids + + def text_exists(self, id: str) -> bool: + return bool(self._client.exists(index=self._collection_name, id=id)) + + def delete_by_ids(self, ids: list[str]) -> None: + if not ids: + return + for id in ids: + self._client.delete(index=self._collection_name, id=id) + + def delete_by_metadata_field(self, key: str, value: str) -> None: + query_str = {"query": {"match": {f"metadata.{key}": f"{value}"}}} + results = self._client.search(index=self._collection_name, body=query_str) + ids = [hit["_id"] for hit in results["hits"]["hits"]] + if ids: + self.delete_by_ids(ids) + + def delete(self) -> None: + self._client.indices.delete(index=self._collection_name) + + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + top_k = kwargs.get("top_k", 4) + + query = { + "size": top_k, + "query": { + "vector": { + Field.VECTOR.value: { + "vector": query_vector, + "topk": top_k, + } + } + }, + } + + results = self._client.search(index=self._collection_name, body=query) + + docs_and_scores = [] + for hit in results["hits"]["hits"]: + docs_and_scores.append( + ( + Document( + page_content=hit["_source"][Field.CONTENT_KEY.value], + vector=hit["_source"][Field.VECTOR.value], + metadata=hit["_source"][Field.METADATA_KEY.value], + ), + hit["_score"], + ) + ) + + docs = [] + for doc, score in docs_and_scores: + score_threshold = float(kwargs.get("score_threshold") or 0.0) + if score > score_threshold: + if doc.metadata is not None: + doc.metadata["score"] = score + docs.append(doc) + + return docs + + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + query_str = {"match": {Field.CONTENT_KEY.value: query}} + results = self._client.search(index=self._collection_name, query=query_str, size=kwargs.get("top_k", 4)) + docs = [] + for hit in results["hits"]["hits"]: + docs.append( + Document( + page_content=hit["_source"][Field.CONTENT_KEY.value], + vector=hit["_source"][Field.VECTOR.value], + metadata=hit["_source"][Field.METADATA_KEY.value], + ) + ) + + return docs + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + metadatas = [d.metadata if d.metadata is not None else {} for d in texts] + self.create_collection(embeddings, metadatas) + self.add_texts(texts, embeddings, **kwargs) + + def create_collection( + self, + embeddings: list[list[float]], + metadatas: Optional[list[dict[Any, Any]]] = None, + index_params: Optional[dict] = None, + ): + lock_name = f"vector_indexing_lock_{self._collection_name}" + with redis_client.lock(lock_name, timeout=20): + collection_exist_cache_key = f"vector_indexing_{self._collection_name}" + if redis_client.get(collection_exist_cache_key): + logger.info(f"Collection {self._collection_name} already exists.") + return + + if not self._client.indices.exists(index=self._collection_name): + dim = len(embeddings[0]) + mappings = { + "properties": { + Field.CONTENT_KEY.value: {"type": "text"}, + Field.VECTOR.value: { # Make sure the dimension is correct here + "type": "vector", + "dimension": dim, + "indexing": True, + "algorithm": "GRAPH", + "metric": "cosine", + "neighbors": 32, + "efc": 128, + }, + Field.METADATA_KEY.value: { + "type": "object", + "properties": { + "doc_id": {"type": "keyword"} # Map doc_id to keyword type + }, + }, + } + } + settings = {"index.vector": True} + self._client.indices.create(index=self._collection_name, mappings=mappings, settings=settings) + + redis_client.set(collection_exist_cache_key, 1, ex=3600) + + +class HuaweiCloudVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> HuaweiCloudVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"] + collection_name = class_prefix.lower() + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() + dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.HUAWEI_CLOUD, collection_name)) + + return HuaweiCloudVector( + index_name=collection_name, + config=HuaweiCloudVectorConfig( + hosts=dify_config.HUAWEI_CLOUD_HOSTS or "http://localhost:9200", + username=dify_config.HUAWEI_CLOUD_USER, + password=dify_config.HUAWEI_CLOUD_PASSWORD, + ), + ) diff --git a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py index 643ac2df4e..e9ff1ce43d 100644 --- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py +++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py @@ -32,6 +32,7 @@ class LindormVectorStoreConfig(BaseModel): username: Optional[str] = None password: Optional[str] = None using_ugc: Optional[bool] = False + request_timeout: Optional[float] = 1.0 # timeout units: s @model_validator(mode="before") @classmethod @@ -251,9 +252,9 @@ class LindormVectorStore(BaseVector): query = default_vector_search_query(query_vector=query_vector, k=top_k, filters=filters, **kwargs) try: - params = {} + params = {"timeout": self._client_config.request_timeout} if self._using_ugc: - params["routing"] = self._routing + params["routing"] = self._routing # type: ignore response = self._client.search(index=self._collection_name, body=query, params=params) except Exception: logger.exception(f"Error executing vector search, query: {query}") @@ -304,8 +305,8 @@ class LindormVectorStore(BaseVector): routing=routing, routing_field=self._routing_field, ) - - response = self._client.search(index=self._collection_name, body=full_text_query) + params = {"timeout": self._client_config.request_timeout} + response = self._client.search(index=self._collection_name, body=full_text_query, params=params) docs = [] for hit in response["hits"]["hits"]: docs.append( @@ -554,6 +555,7 @@ class LindormVectorStoreFactory(AbstractVectorFactory): username=dify_config.LINDORM_USERNAME, password=dify_config.LINDORM_PASSWORD, using_ugc=dify_config.USING_UGC_INDEX, + request_timeout=dify_config.LINDORM_QUERY_TIMEOUT, ) using_ugc = dify_config.USING_UGC_INDEX if using_ugc is None: diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index 7a3319f4a6..7b3f826082 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -27,11 +27,12 @@ class MilvusConfig(BaseModel): uri: str # Milvus server URI token: Optional[str] = None # Optional token for authentication - user: str # Username for authentication - password: str # Password for authentication + user: Optional[str] = None # Username for authentication + password: Optional[str] = None # Password for authentication batch_size: int = 100 # Batch size for operations database: str = "default" # Database name enable_hybrid_search: bool = False # Flag to enable hybrid search + analyzer_params: Optional[str] = None # Analyzer params @model_validator(mode="before") @classmethod @@ -42,10 +43,11 @@ class MilvusConfig(BaseModel): """ if not values.get("uri"): raise ValueError("config MILVUS_URI is required") - if not values.get("user"): - raise ValueError("config MILVUS_USER is required") - if not values.get("password"): - raise ValueError("config MILVUS_PASSWORD is required") + if not values.get("token"): + if not values.get("user"): + raise ValueError("config MILVUS_USER is required") + if not values.get("password"): + raise ValueError("config MILVUS_PASSWORD is required") return values def to_milvus_params(self): @@ -58,6 +60,7 @@ class MilvusConfig(BaseModel): "user": self.user, "password": self.password, "db_name": self.database, + "analyzer_params": self.analyzer_params, } @@ -300,14 +303,19 @@ class MilvusVector(BaseVector): # Create the text field, enable_analyzer will be set True to support milvus automatically # transfer text to sparse_vector, reference: https://milvus.io/docs/full-text-search.md - fields.append( - FieldSchema( - Field.CONTENT_KEY.value, - DataType.VARCHAR, - max_length=65_535, - enable_analyzer=self._hybrid_search_enabled, - ) - ) + content_field_kwargs: dict[str, Any] = { + "max_length": 65_535, + "enable_analyzer": self._hybrid_search_enabled, + } + if ( + self._hybrid_search_enabled + and self._client_config.analyzer_params is not None + and self._client_config.analyzer_params.strip() + ): + content_field_kwargs["analyzer_params"] = self._client_config.analyzer_params + + fields.append(FieldSchema(Field.CONTENT_KEY.value, DataType.VARCHAR, **content_field_kwargs)) + # Create the primary key field fields.append(FieldSchema(Field.PRIMARY_KEY.value, DataType.INT64, is_primary=True, auto_id=True)) # Create the vector field, supports binary or float vectors @@ -349,11 +357,14 @@ class MilvusVector(BaseVector): ) redis_client.set(collection_exist_cache_key, 1, ex=3600) - def _init_client(self, config) -> MilvusClient: + def _init_client(self, config: MilvusConfig) -> MilvusClient: """ Initialize and return a Milvus client. """ - client = MilvusClient(uri=config.uri, user=config.user, password=config.password, db_name=config.database) + if config.token: + client = MilvusClient(uri=config.uri, token=config.token, db_name=config.database) + else: + client = MilvusClient(uri=config.uri, user=config.user, password=config.password, db_name=config.database) return client @@ -383,5 +394,6 @@ class MilvusVectorFactory(AbstractVectorFactory): password=dify_config.MILVUS_PASSWORD or "", database=dify_config.MILVUS_DATABASE or "", enable_hybrid_search=dify_config.MILVUS_ENABLE_HYBRID_SEARCH or False, + analyzer_params=dify_config.MILVUS_ANALYZER_PARAMS or "", ), ) diff --git a/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py b/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py index ae6b0c51ab..2b47d179d2 100644 --- a/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py +++ b/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py @@ -203,7 +203,7 @@ class OceanBaseVector(BaseVector): full_sql = f"""SELECT metadata, text, MATCH (text) AGAINST (:query) AS score FROM {self._collection_name} - WHERE MATCH (text) AGAINST (:query) > 0 + WHERE MATCH (text) AGAINST (:query) > 0 {where_clause} ORDER BY score DESC LIMIT {top_k}""" diff --git a/api/core/rag/datasource/vdb/opengauss/opengauss.py b/api/core/rag/datasource/vdb/opengauss/opengauss.py index dae908f67d..2548881b9c 100644 --- a/api/core/rag/datasource/vdb/opengauss/opengauss.py +++ b/api/core/rag/datasource/vdb/opengauss/opengauss.py @@ -59,12 +59,12 @@ CREATE TABLE IF NOT EXISTS {table_name} ( """ SQL_CREATE_INDEX_PQ = """ -CREATE INDEX IF NOT EXISTS embedding_{table_name}_pq_idx ON {table_name} +CREATE INDEX IF NOT EXISTS embedding_{table_name}_pq_idx ON {table_name} USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64, enable_pq=on, pq_m={pq_m}); """ SQL_CREATE_INDEX = """ -CREATE INDEX IF NOT EXISTS embedding_cosine_{table_name}_idx ON {table_name} +CREATE INDEX IF NOT EXISTS embedding_cosine_{table_name}_idx ON {table_name} USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64); """ diff --git a/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py b/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py index 6636646cff..e23b8d197f 100644 --- a/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py +++ b/api/core/rag/datasource/vdb/opensearch/opensearch_vector.py @@ -1,10 +1,9 @@ import json import logging -import ssl -from typing import Any, Optional +from typing import Any, Literal, Optional from uuid import uuid4 -from opensearchpy import OpenSearch, helpers +from opensearchpy import OpenSearch, Urllib3AWSV4SignerAuth, Urllib3HttpConnection, helpers from opensearchpy.helpers import BulkIndexError from pydantic import BaseModel, model_validator @@ -24,9 +23,12 @@ logger = logging.getLogger(__name__) class OpenSearchConfig(BaseModel): host: str port: int + secure: bool = False + auth_method: Literal["basic", "aws_managed_iam"] = "basic" user: Optional[str] = None password: Optional[str] = None - secure: bool = False + aws_region: Optional[str] = None + aws_service: Optional[str] = None @model_validator(mode="before") @classmethod @@ -35,24 +37,40 @@ class OpenSearchConfig(BaseModel): raise ValueError("config OPENSEARCH_HOST is required") if not values.get("port"): raise ValueError("config OPENSEARCH_PORT is required") + if values.get("auth_method") == "aws_managed_iam": + if not values.get("aws_region"): + 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") return values - def create_ssl_context(self) -> ssl.SSLContext: - ssl_context = ssl.create_default_context() - ssl_context.check_hostname = False - ssl_context.verify_mode = ssl.CERT_NONE # Disable Certificate Validation - return ssl_context + def create_aws_managed_iam_auth(self) -> Urllib3AWSV4SignerAuth: + import boto3 # type: ignore + + return Urllib3AWSV4SignerAuth( + credentials=boto3.Session().get_credentials(), + region=self.aws_region, + service=self.aws_service, # type: ignore[arg-type] + ) def to_opensearch_params(self) -> dict[str, Any]: params = { "hosts": [{"host": self.host, "port": self.port}], "use_ssl": self.secure, "verify_certs": self.secure, + "connection_class": Urllib3HttpConnection, + "pool_maxsize": 20, } - if self.user and self.password: + + if self.auth_method == "basic": + logger.info("Using basic authentication for OpenSearch Vector DB") + params["http_auth"] = (self.user, self.password) - if self.secure: - params["ssl_context"] = self.create_ssl_context() + elif self.auth_method == "aws_managed_iam": + logger.info("Using AWS managed IAM role for OpenSearch Vector DB") + + params["http_auth"] = self.create_aws_managed_iam_auth() + return params @@ -76,16 +94,23 @@ class OpenSearchVector(BaseVector): action = { "_op_type": "index", "_index": self._collection_name.lower(), - "_id": uuid4().hex, "_source": { Field.CONTENT_KEY.value: documents[i].page_content, Field.VECTOR.value: embeddings[i], # Make sure you pass an array here Field.METADATA_KEY.value: documents[i].metadata, }, } + # See https://github.com/langchain-ai/langchainjs/issues/4346#issuecomment-1935123377 + if self._client_config.aws_service not in ["aoss"]: + action["_id"] = uuid4().hex actions.append(action) - helpers.bulk(self._client, actions) + helpers.bulk( + client=self._client, + actions=actions, + timeout=30, + max_retries=3, + ) def get_ids_by_metadata_field(self, key: str, value: str): query = {"query": {"term": {f"{Field.METADATA_KEY.value}.{key}": value}}} @@ -234,6 +259,7 @@ class OpenSearchVector(BaseVector): }, } + logger.info(f"Creating OpenSearch index {self._collection_name.lower()}") self._client.indices.create(index=self._collection_name.lower(), body=index_body) redis_client.set(collection_exist_cache_key, 1, ex=3600) @@ -252,9 +278,12 @@ class OpenSearchVectorFactory(AbstractVectorFactory): open_search_config = OpenSearchConfig( host=dify_config.OPENSEARCH_HOST or "localhost", port=dify_config.OPENSEARCH_PORT, + secure=dify_config.OPENSEARCH_SECURE, + auth_method=dify_config.OPENSEARCH_AUTH_METHOD.value, user=dify_config.OPENSEARCH_USER, password=dify_config.OPENSEARCH_PASSWORD, - secure=dify_config.OPENSEARCH_SECURE, + aws_region=dify_config.OPENSEARCH_AWS_REGION, + aws_service=dify_config.OPENSEARCH_AWS_SERVICE, ) return OpenSearchVector(collection_name=collection_name, config=open_search_config) diff --git a/api/core/rag/datasource/vdb/oracle/oraclevector.py b/api/core/rag/datasource/vdb/oracle/oraclevector.py index 143dfb3258..0a3738ac93 100644 --- a/api/core/rag/datasource/vdb/oracle/oraclevector.py +++ b/api/core/rag/datasource/vdb/oracle/oraclevector.py @@ -2,12 +2,12 @@ import array import json import re import uuid -from contextlib import contextmanager from typing import Any import jieba.posseg as pseg # type: ignore import numpy import oracledb +from oracledb.connection import Connection from pydantic import BaseModel, model_validator from configs import dify_config @@ -59,8 +59,8 @@ CREATE TABLE IF NOT EXISTS {table_name} ( ) """ SQL_CREATE_INDEX = """ -CREATE INDEX IF NOT EXISTS idx_docs_{table_name} ON {table_name}(text) -INDEXTYPE IS CTXSYS.CONTEXT PARAMETERS +CREATE INDEX IF NOT EXISTS idx_docs_{table_name} ON {table_name}(text) +INDEXTYPE IS CTXSYS.CONTEXT PARAMETERS ('FILTER CTXSYS.NULL_FILTER SECTION GROUP CTXSYS.HTML_SECTION_GROUP LEXER world_lexer') """ @@ -70,6 +70,7 @@ class OracleVector(BaseVector): super().__init__(collection_name) self.pool = self._create_connection_pool(config) self.table_name = f"embedding_{collection_name}" + self.config = config def get_type(self) -> str: return VectorType.ORACLE @@ -107,16 +108,19 @@ class OracleVector(BaseVector): outconverter=self.numpy_converter_out, ) + def _get_connection(self) -> Connection: + connection = oracledb.connect(user=self.config.user, password=self.config.password, dsn=self.config.dsn) + return connection + def _create_connection_pool(self, config: OracleVectorConfig): pool_params = { "user": config.user, "password": config.password, "dsn": config.dsn, "min": 1, - "max": 50, + "max": 5, "increment": 1, } - if config.is_autonomous: pool_params.update( { @@ -125,22 +129,8 @@ class OracleVector(BaseVector): "wallet_password": config.wallet_password, } ) - return oracledb.create_pool(**pool_params) - @contextmanager - def _get_cursor(self): - conn = self.pool.acquire() - conn.inputtypehandler = self.input_type_handler - conn.outputtypehandler = self.output_type_handler - cur = conn.cursor() - try: - yield cur - finally: - cur.close() - conn.commit() - conn.close() - def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): dimension = len(embeddings[0]) self._create_collection(dimension) @@ -162,41 +152,68 @@ class OracleVector(BaseVector): numpy.array(embeddings[i]), ) ) - # print(f"INSERT INTO {self.table_name} (id, text, meta, embedding) VALUES (:1, :2, :3, :4)") - with self._get_cursor() as cur: - cur.executemany( - f"INSERT INTO {self.table_name} (id, text, meta, embedding) VALUES (:1, :2, :3, :4)", values - ) + with self._get_connection() as conn: + conn.inputtypehandler = self.input_type_handler + conn.outputtypehandler = self.output_type_handler + # with conn.cursor() as cur: + # cur.executemany( + # f"INSERT INTO {self.table_name} (id, text, meta, embedding) VALUES (:1, :2, :3, :4)", values + # ) + # conn.commit() + for value in values: + with conn.cursor() as cur: + try: + cur.execute( + f"""INSERT INTO {self.table_name} (id, text, meta, embedding) + VALUES (:1, :2, :3, :4)""", + value, + ) + conn.commit() + except Exception as e: + print(e) + conn.close() return pks def text_exists(self, id: str) -> bool: - with self._get_cursor() as cur: - cur.execute(f"SELECT id FROM {self.table_name} WHERE id = '%s'" % (id,)) - return cur.fetchone() is not None + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(f"SELECT id FROM {self.table_name} WHERE id = '%s'" % (id,)) + return cur.fetchone() is not None + conn.close() def get_by_ids(self, ids: list[str]) -> list[Document]: - with self._get_cursor() as cur: - cur.execute(f"SELECT meta, text FROM {self.table_name} WHERE id IN %s", (tuple(ids),)) - docs = [] - for record in cur: - docs.append(Document(page_content=record[1], metadata=record[0])) + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(f"SELECT meta, text FROM {self.table_name} WHERE id IN %s", (tuple(ids),)) + docs = [] + for record in cur: + docs.append(Document(page_content=record[1], metadata=record[0])) + self.pool.release(connection=conn) + conn.close() return docs def delete_by_ids(self, ids: list[str]) -> None: if not ids: return - with self._get_cursor() as cur: - cur.execute(f"DELETE FROM {self.table_name} WHERE id IN %s" % (tuple(ids),)) + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(f"DELETE FROM {self.table_name} WHERE id IN %s" % (tuple(ids),)) + conn.commit() + conn.close() def delete_by_metadata_field(self, key: str, value: str) -> None: - with self._get_cursor() as cur: - cur.execute(f"DELETE FROM {self.table_name} WHERE meta->>%s = %s", (key, value)) + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(f"DELETE FROM {self.table_name} WHERE meta->>%s = %s", (key, value)) + conn.commit() + conn.close() def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: """ Search the nearest neighbors to a vector. :param query_vector: The input vector to search for similar items. + :param top_k: The number of nearest neighbors to return, default is 5. :return: List of Documents that are nearest to the query vector. """ top_k = kwargs.get("top_k", 4) @@ -205,20 +222,25 @@ class OracleVector(BaseVector): if document_ids_filter: document_ids = ", ".join(f"'{id}'" for id in document_ids_filter) where_clause = f"WHERE metadata->>'document_id' in ({document_ids})" - with self._get_cursor() as cur: - cur.execute( - f"SELECT meta, text, vector_distance(embedding,:1) AS distance FROM {self.table_name}" - f" {where_clause} ORDER BY distance fetch first {top_k} rows only", - [numpy.array(query_vector)], - ) - docs = [] - score_threshold = float(kwargs.get("score_threshold") or 0.0) - for record in cur: - metadata, text, distance = record - score = 1 - distance - metadata["score"] = score - if score > score_threshold: - docs.append(Document(page_content=text, metadata=metadata)) + with self._get_connection() as conn: + conn.inputtypehandler = self.input_type_handler + conn.outputtypehandler = self.output_type_handler + with conn.cursor() as cur: + cur.execute( + f"""SELECT meta, text, vector_distance(embedding,(select to_vector(:1) from dual),cosine) + AS distance FROM {self.table_name} + {where_clause} ORDER BY distance fetch first {top_k} rows only""", + [numpy.array(query_vector)], + ) + docs = [] + score_threshold = float(kwargs.get("score_threshold") or 0.0) + for record in cur: + metadata, text, distance = record + score = 1 - distance + metadata["score"] = score + if score > score_threshold: + docs.append(Document(page_content=text, metadata=metadata)) + conn.close() return docs def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: @@ -260,30 +282,35 @@ class OracleVector(BaseVector): for token in all_tokens: if token not in stop_words: entities.append(token) - with self._get_cursor() as cur: - document_ids_filter = kwargs.get("document_ids_filter") - where_clause = "" - if document_ids_filter: - document_ids = ", ".join(f"'{id}'" for id in document_ids_filter) - where_clause = f" AND metadata->>'document_id' in ({document_ids}) " - cur.execute( - f"select meta, text, embedding FROM {self.table_name}" - f"WHERE CONTAINS(text, :1, 1) > 0 {where_clause} " - f"order by score(1) desc fetch first {top_k} rows only", - [" ACCUM ".join(entities)], - ) - docs = [] - for record in cur: - metadata, text, embedding = record - docs.append(Document(page_content=text, vector=embedding, metadata=metadata)) + with self._get_connection() as conn: + with conn.cursor() as cur: + document_ids_filter = kwargs.get("document_ids_filter") + where_clause = "" + if document_ids_filter: + document_ids = ", ".join(f"'{id}'" for id in document_ids_filter) + where_clause = f" AND metadata->>'document_id' in ({document_ids}) " + cur.execute( + f"""select meta, text, embedding FROM {self.table_name} + WHERE CONTAINS(text, :kk, 1) > 0 {where_clause} + order by score(1) desc fetch first {top_k} rows only""", + kk=" ACCUM ".join(entities), + ) + docs = [] + for record in cur: + metadata, text, embedding = record + docs.append(Document(page_content=text, vector=embedding, metadata=metadata)) + conn.close() return docs else: return [Document(page_content="", metadata={})] return [] def delete(self) -> None: - with self._get_cursor() as cur: - cur.execute(f"DROP TABLE IF EXISTS {self.table_name} cascade constraints") + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(f"DROP TABLE IF EXISTS {self.table_name} cascade constraints") + conn.commit() + conn.close() def _create_collection(self, dimension: int): cache_key = f"vector_indexing_{self._collection_name}" @@ -293,11 +320,14 @@ class OracleVector(BaseVector): if redis_client.get(collection_exist_cache_key): return - with self._get_cursor() as cur: - cur.execute(SQL_CREATE_TABLE.format(table_name=self.table_name)) - redis_client.set(collection_exist_cache_key, 1, ex=3600) - with self._get_cursor() as cur: - cur.execute(SQL_CREATE_INDEX.format(table_name=self.table_name)) + with self._get_connection() as conn: + with conn.cursor() as cur: + cur.execute(SQL_CREATE_TABLE.format(table_name=self.table_name)) + redis_client.set(collection_exist_cache_key, 1, ex=3600) + with conn.cursor() as cur: + cur.execute(SQL_CREATE_INDEX.format(table_name=self.table_name)) + conn.commit() + conn.close() class OracleVectorFactory(AbstractVectorFactory): diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py index eab51ab01d..366a21c381 100644 --- a/api/core/rag/datasource/vdb/pgvector/pgvector.py +++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py @@ -61,7 +61,7 @@ CREATE TABLE IF NOT EXISTS {table_name} ( """ SQL_CREATE_INDEX = """ -CREATE INDEX IF NOT EXISTS embedding_cosine_v1_idx ON {table_name} +CREATE INDEX IF NOT EXISTS embedding_cosine_v1_idx ON {table_name} USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64); """ diff --git a/api/core/rag/datasource/vdb/pyvastbase/__init__.py b/api/core/rag/datasource/vdb/pyvastbase/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/rag/datasource/vdb/pyvastbase/vastbase_vector.py b/api/core/rag/datasource/vdb/pyvastbase/vastbase_vector.py new file mode 100644 index 0000000000..156730ff37 --- /dev/null +++ b/api/core/rag/datasource/vdb/pyvastbase/vastbase_vector.py @@ -0,0 +1,243 @@ +import json +import uuid +from contextlib import contextmanager +from typing import Any + +import psycopg2.extras # type: ignore +import psycopg2.pool # type: ignore +from pydantic import BaseModel, model_validator + +from configs import dify_config +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from core.rag.embedding.embedding_base import Embeddings +from core.rag.models.document import Document +from extensions.ext_redis import redis_client +from models.dataset import Dataset + + +class VastbaseVectorConfig(BaseModel): + host: str + port: int + user: str + password: str + database: str + min_connection: int + max_connection: int + + @model_validator(mode="before") + @classmethod + def validate_config(cls, values: dict) -> dict: + if not values["host"]: + raise ValueError("config VASTBASE_HOST is required") + if not values["port"]: + raise ValueError("config VASTBASE_PORT is required") + if not values["user"]: + raise ValueError("config VASTBASE_USER is required") + if not values["password"]: + raise ValueError("config VASTBASE_PASSWORD is required") + if not values["database"]: + raise ValueError("config VASTBASE_DATABASE is required") + if not values["min_connection"]: + raise ValueError("config VASTBASE_MIN_CONNECTION is required") + if not values["max_connection"]: + raise ValueError("config VASTBASE_MAX_CONNECTION is required") + if values["min_connection"] > values["max_connection"]: + raise ValueError("config VASTBASE_MIN_CONNECTION should less than VASTBASE_MAX_CONNECTION") + return values + + +SQL_CREATE_TABLE = """ +CREATE TABLE IF NOT EXISTS {table_name} ( + id UUID PRIMARY KEY, + text TEXT NOT NULL, + meta JSONB NOT NULL, + embedding floatvector({dimension}) NOT NULL +); +""" + +SQL_CREATE_INDEX = """ +CREATE INDEX IF NOT EXISTS embedding_cosine_v1_idx ON {table_name} +USING hnsw (embedding floatvector_cosine_ops) WITH (m = 16, ef_construction = 64); +""" + + +class VastbaseVector(BaseVector): + def __init__(self, collection_name: str, config: VastbaseVectorConfig): + super().__init__(collection_name) + self.pool = self._create_connection_pool(config) + self.table_name = f"embedding_{collection_name}" + + def get_type(self) -> str: + return VectorType.VASTBASE + + def _create_connection_pool(self, config: VastbaseVectorConfig): + return psycopg2.pool.SimpleConnectionPool( + config.min_connection, + config.max_connection, + host=config.host, + port=config.port, + user=config.user, + password=config.password, + database=config.database, + ) + + @contextmanager + def _get_cursor(self): + conn = self.pool.getconn() + cur = conn.cursor() + try: + yield cur + finally: + cur.close() + conn.commit() + self.pool.putconn(conn) + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + dimension = len(embeddings[0]) + self._create_collection(dimension) + return self.add_texts(texts, embeddings) + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + values = [] + pks = [] + for i, doc in enumerate(documents): + if doc.metadata is not None: + doc_id = doc.metadata.get("doc_id", str(uuid.uuid4())) + pks.append(doc_id) + values.append( + ( + doc_id, + doc.page_content, + json.dumps(doc.metadata), + embeddings[i], + ) + ) + with self._get_cursor() as cur: + psycopg2.extras.execute_values( + cur, f"INSERT INTO {self.table_name} (id, text, meta, embedding) VALUES %s", values + ) + return pks + + def text_exists(self, id: str) -> bool: + with self._get_cursor() as cur: + cur.execute(f"SELECT id FROM {self.table_name} WHERE id = %s", (id,)) + return cur.fetchone() is not None + + def get_by_ids(self, ids: list[str]) -> list[Document]: + with self._get_cursor() as cur: + cur.execute(f"SELECT meta, text FROM {self.table_name} WHERE id IN %s", (tuple(ids),)) + docs = [] + for record in cur: + docs.append(Document(page_content=record[1], metadata=record[0])) + return docs + + def delete_by_ids(self, ids: list[str]) -> None: + # Avoiding crashes caused by performing delete operations on empty lists in certain scenarios + # Scenario 1: extract a document fails, resulting in a table not being created. + # Then clicking the retry button triggers a delete operation on an empty list. + if not ids: + return + with self._get_cursor() as cur: + cur.execute(f"DELETE FROM {self.table_name} WHERE id IN %s", (tuple(ids),)) + + def delete_by_metadata_field(self, key: str, value: str) -> None: + with self._get_cursor() as cur: + cur.execute(f"DELETE FROM {self.table_name} WHERE meta->>%s = %s", (key, value)) + + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + """ + Search the nearest neighbors to a vector. + + :param query_vector: The input vector to search for similar items. + :param top_k: The number of nearest neighbors to return, default is 5. + :return: List of Documents that are nearest to the query vector. + """ + top_k = kwargs.get("top_k", 4) + + if not isinstance(top_k, int) or top_k <= 0: + raise ValueError("top_k must be a positive integer") + with self._get_cursor() as cur: + cur.execute( + f"SELECT meta, text, embedding <=> %s AS distance FROM {self.table_name}" + f" ORDER BY distance LIMIT {top_k}", + (json.dumps(query_vector),), + ) + docs = [] + score_threshold = float(kwargs.get("score_threshold") or 0.0) + for record in cur: + metadata, text, distance = record + score = 1 - distance + metadata["score"] = score + if score > score_threshold: + docs.append(Document(page_content=text, metadata=metadata)) + return docs + + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + top_k = kwargs.get("top_k", 5) + + if not isinstance(top_k, int) or top_k <= 0: + raise ValueError("top_k must be a positive integer") + with self._get_cursor() as cur: + cur.execute( + f"""SELECT meta, text, ts_rank(to_tsvector(coalesce(text, '')), plainto_tsquery(%s)) AS score + FROM {self.table_name} + WHERE to_tsvector(text) @@ plainto_tsquery(%s) + ORDER BY score DESC + LIMIT {top_k}""", + # f"'{query}'" is required in order to account for whitespace in query + (f"'{query}'", f"'{query}'"), + ) + + docs = [] + + for record in cur: + metadata, text, score = record + metadata["score"] = score + docs.append(Document(page_content=text, metadata=metadata)) + + return docs + + def delete(self) -> None: + with self._get_cursor() as cur: + cur.execute(f"DROP TABLE IF EXISTS {self.table_name}") + + def _create_collection(self, dimension: int): + cache_key = f"vector_indexing_{self._collection_name}" + lock_name = f"{cache_key}_lock" + with redis_client.lock(lock_name, timeout=20): + collection_exist_cache_key = f"vector_indexing_{self._collection_name}" + if redis_client.get(collection_exist_cache_key): + return + + with self._get_cursor() as cur: + cur.execute(SQL_CREATE_TABLE.format(table_name=self.table_name, dimension=dimension)) + # Vastbase 支持的向量维度取值范围为 [1,16000] + if dimension <= 16000: + cur.execute(SQL_CREATE_INDEX.format(table_name=self.table_name)) + redis_client.set(collection_exist_cache_key, 1, ex=3600) + + +class VastbaseVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> VastbaseVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.VASTBASE, collection_name)) + + return VastbaseVector( + collection_name=collection_name, + config=VastbaseVectorConfig( + host=dify_config.VASTBASE_HOST or "localhost", + port=dify_config.VASTBASE_PORT, + user=dify_config.VASTBASE_USER or "dify", + password=dify_config.VASTBASE_PASSWORD or "", + database=dify_config.VASTBASE_DATABASE or "dify", + min_connection=dify_config.VASTBASE_MIN_CONNECTION, + max_connection=dify_config.VASTBASE_MAX_CONNECTION, + ), + ) diff --git a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py index 4efd90667a..1e040f415e 100644 --- a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py +++ b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py @@ -444,7 +444,7 @@ class QdrantVectorFactory(AbstractVectorFactory): if dataset_collection_binding: collection_name = dataset_collection_binding.collection_name else: - raise ValueError("Dataset Collection Bindings is not exist!") + raise ValueError("Dataset Collection Bindings does not exist!") else: if dataset.index_struct_dict: class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"] diff --git a/api/core/rag/datasource/vdb/relyt/relyt_vector.py b/api/core/rag/datasource/vdb/relyt/relyt_vector.py index a6c4baf4f8..0c0d6a463d 100644 --- a/api/core/rag/datasource/vdb/relyt/relyt_vector.py +++ b/api/core/rag/datasource/vdb/relyt/relyt_vector.py @@ -65,8 +65,6 @@ class RelytVector(BaseVector): return VectorType.RELYT def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs) -> None: - index_params: dict[str, Any] = {} - metadatas = [d.metadata for d in texts] self.create_collection(len(embeddings[0])) self.embedding_dimension = len(embeddings[0]) self.add_texts(texts, embeddings) diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py index efa68059e5..61c68b939e 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -187,7 +187,6 @@ class TiDBVector(BaseVector): def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: top_k = kwargs.get("top_k", 4) score_threshold = float(kwargs.get("score_threshold") or 0.0) - filter = kwargs.get("filter") distance = 1 - score_threshold query_vector_str = ", ".join(format(x) for x in query_vector) @@ -206,9 +205,9 @@ class TiDBVector(BaseVector): with Session(self._engine) as session: select_statement = sql_text(f""" - SELECT meta, text, distance + SELECT meta, text, distance FROM ( - SELECT + SELECT meta, text, {tidb_dist_func}(vector, :query_vector_str) AS distance diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index 00601c38a1..66e002312a 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -74,6 +74,10 @@ class Vector: from core.rag.datasource.vdb.pgvector.pgvector import PGVectorFactory return PGVectorFactory + case VectorType.VASTBASE: + from core.rag.datasource.vdb.pyvastbase.vastbase_vector import VastbaseVectorFactory + + return VastbaseVectorFactory case VectorType.PGVECTO_RS: from core.rag.datasource.vdb.pgvecto_rs.pgvecto_rs import PGVectoRSFactory @@ -156,6 +160,10 @@ class Vector: from core.rag.datasource.vdb.tablestore.tablestore_vector import TableStoreVectorFactory return TableStoreVectorFactory + case VectorType.HUAWEI_CLOUD: + from core.rag.datasource.vdb.huawei.huawei_cloud_vector import HuaweiCloudVectorFactory + + return HuaweiCloudVectorFactory case _: raise ValueError(f"Vector store {vector_type} is not supported.") diff --git a/api/core/rag/datasource/vdb/vector_type.py b/api/core/rag/datasource/vdb/vector_type.py index 940f12caef..7a81565e37 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -7,7 +7,9 @@ class VectorType(StrEnum): MILVUS = "milvus" MYSCALE = "myscale" PGVECTOR = "pgvector" + VASTBASE = "vastbase" PGVECTO_RS = "pgvecto-rs" + QDRANT = "qdrant" RELYT = "relyt" TIDB_VECTOR = "tidb_vector" @@ -26,3 +28,4 @@ class VectorType(StrEnum): OCEANBASE = "oceanbase" OPENGAUSS = "opengauss" TABLESTORE = "tablestore" + HUAWEI_CLOUD = "huawei_cloud" diff --git a/api/core/rag/extractor/watercrawl/provider.py b/api/core/rag/extractor/watercrawl/provider.py index b8003b386b..21fbb2100f 100644 --- a/api/core/rag/extractor/watercrawl/provider.py +++ b/api/core/rag/extractor/watercrawl/provider.py @@ -20,7 +20,7 @@ class WaterCrawlProvider: } if options.get("crawl_sub_pages", True): spider_options["page_limit"] = options.get("limit", 1) - spider_options["max_depth"] = options.get("depth", 1) + spider_options["max_depth"] = options.get("max_depth", 1) spider_options["include_paths"] = options.get("includes", "").split(",") if options.get("includes") else [] spider_options["exclude_paths"] = options.get("excludes", "").split(",") if options.get("excludes") else [] diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index 70c618a631..edaa8c92fa 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -126,9 +126,7 @@ class WordExtractor(BaseExtractor): db.session.add(upload_file) db.session.commit() - image_map[rel.target_part] = ( - f"![image]({dify_config.CONSOLE_API_URL}/files/{upload_file.id}/file-preview)" - ) + image_map[rel.target_part] = f"![image]({dify_config.FILES_URL}/files/{upload_file.id}/file-preview)" return image_map diff --git a/api/core/rag/rerank/rerank_model.py b/api/core/rag/rerank/rerank_model.py index ac7a3f8bb8..693535413a 100644 --- a/api/core/rag/rerank/rerank_model.py +++ b/api/core/rag/rerank/rerank_model.py @@ -52,14 +52,16 @@ class RerankModelRunner(BaseRerankRunner): rerank_documents = [] for result in rerank_result.docs: - # format document - rerank_document = Document( - page_content=result.text, - metadata=documents[result.index].metadata, - provider=documents[result.index].provider, - ) - if rerank_document.metadata is not None: - rerank_document.metadata["score"] = result.score - rerank_documents.append(rerank_document) + if score_threshold is None or result.score >= score_threshold: + # format document + rerank_document = Document( + page_content=result.text, + metadata=documents[result.index].metadata, + provider=documents[result.index].provider, + ) + if rerank_document.metadata is not None: + rerank_document.metadata["score"] = result.score + rerank_documents.append(rerank_document) - return rerank_documents + rerank_documents.sort(key=lambda x: x.metadata.get("score", 0.0), reverse=True) + return rerank_documents[:top_n] if top_n else rerank_documents diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index e00c989c9d..4869a21e80 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -206,6 +206,7 @@ class DatasetRetrieval: 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(), @@ -868,7 +869,9 @@ class DatasetRetrieval: ) ) metadata_condition = MetadataCondition( - logical_operator=metadata_filtering_conditions.logical_operator, # type: ignore + logical_operator=metadata_filtering_conditions.logical_operator + if metadata_filtering_conditions + else "or", # type: ignore conditions=conditions, ) elif metadata_filtering_mode == "manual": @@ -890,10 +893,10 @@ class DatasetRetrieval: else: raise ValueError("Invalid metadata filtering mode") if filters: - if metadata_filtering_conditions.logical_operator == "or": # type: ignore - document_query = document_query.filter(or_(*filters)) - else: + if metadata_filtering_conditions and metadata_filtering_conditions.logical_operator == "and": # type: ignore document_query = document_query.filter(and_(*filters)) + else: + document_query = document_query.filter(or_(*filters)) documents = document_query.all() # group by dataset_id metadata_filter_document_ids = defaultdict(list) if documents else None # type: ignore diff --git a/api/core/rag/retrieval/template_prompts.py b/api/core/rag/retrieval/template_prompts.py index 7abd55d798..acde842702 100644 --- a/api/core/rag/retrieval/template_prompts.py +++ b/api/core/rag/retrieval/template_prompts.py @@ -50,7 +50,7 @@ You are a text metadata extract engine that extract text's metadata based on use # Your task is to ONLY extract the metadatas that exist in the input text from the provided metadata list and Use the following operators ["=", "!=", ">", "<", ">=", "<="] to express logical relationships, then return result in JSON format with the key "metadata_fields" and value "metadata_field_value" and comparison operator "comparison_operator". ### Format The input text is in the variable input_text. Metadata are specified as a list in the variable metadata_fields. -### Constraint +### Constraint DO NOT include anything other than the JSON array in your response. ### Example Here is the chat example between human and assistant, inside XML tags. @@ -59,7 +59,7 @@ User:{{"input_text": ["I want to know which company’s email address test@examp Assistant:{{"metadata_map": [{{"metadata_field_name": "email", "metadata_field_value": "test@example.com", "comparison_operator": "="}}]}} User:{{"input_text": "What are the movies with a score of more than 9 in 2024?", "metadata_fields": ["name", "year", "rating", "country"]}} Assistant:{{"metadata_map": [{{"metadata_field_name": "year", "metadata_field_value": "2024", "comparison_operator": "="}, {{"metadata_field_name": "rating", "metadata_field_value": "9", "comparison_operator": ">"}}]}} - + ### User Input {{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}} ### Assistant Output diff --git a/api/core/rag/splitter/fixed_text_splitter.py b/api/core/rag/splitter/fixed_text_splitter.py index 67f9b6384d..0fb1bcb2e0 100644 --- a/api/core/rag/splitter/fixed_text_splitter.py +++ b/api/core/rag/splitter/fixed_text_splitter.py @@ -39,6 +39,12 @@ class EnhanceRecursiveCharacterTextSplitter(RecursiveCharacterTextSplitter): else: return [GPT2Tokenizer.get_num_tokens(text) for text in texts] + def _character_encoder(texts: list[str]) -> list[int]: + if not texts: + return [] + + return [len(text) for text in texts] + if issubclass(cls, TokenTextSplitter): extra_kwargs = { "model_name": embedding_model_instance.model if embedding_model_instance else "gpt2", @@ -47,7 +53,7 @@ class EnhanceRecursiveCharacterTextSplitter(RecursiveCharacterTextSplitter): } kwargs = {**kwargs, **extra_kwargs} - return cls(length_function=_token_encoder, **kwargs) + return cls(length_function=_character_encoder, **kwargs) class FixedRecursiveCharacterTextSplitter(EnhanceRecursiveCharacterTextSplitter): @@ -103,7 +109,7 @@ class FixedRecursiveCharacterTextSplitter(EnhanceRecursiveCharacterTextSplitter) _good_splits_lengths = [] # cache the lengths of the splits _separator = "" if self._keep_separator else separator s_lens = self._length_function(splits) - if _separator != "": + if separator != "": for s, s_len in zip(splits, s_lens): if s_len < self._chunk_size: _good_splits.append(s) diff --git a/api/core/rag/splitter/text_splitter.py b/api/core/rag/splitter/text_splitter.py index 34b4056cf5..b711e8434a 100644 --- a/api/core/rag/splitter/text_splitter.py +++ b/api/core/rag/splitter/text_splitter.py @@ -159,50 +159,6 @@ class TextSplitter(BaseDocumentTransformer, ABC): ) return cls(length_function=lambda x: [_huggingface_tokenizer_length(text) for text in x], **kwargs) - @classmethod - def from_tiktoken_encoder( - cls: type[TS], - encoding_name: str = "gpt2", - model_name: Optional[str] = None, - allowed_special: Union[Literal["all"], Set[str]] = set(), - disallowed_special: Union[Literal["all"], Collection[str]] = "all", - **kwargs: Any, - ) -> TS: - """Text splitter that uses tiktoken encoder to count length.""" - try: - import tiktoken - except ImportError: - raise ImportError( - "Could not import tiktoken python package. " - "This is needed in order to calculate max_tokens_for_prompt. " - "Please install it with `pip install tiktoken`." - ) - - if model_name is not None: - enc = tiktoken.encoding_for_model(model_name) - else: - enc = tiktoken.get_encoding(encoding_name) - - def _tiktoken_encoder(text: str) -> int: - return len( - enc.encode( - text, - allowed_special=allowed_special, - disallowed_special=disallowed_special, - ) - ) - - if issubclass(cls, TokenTextSplitter): - extra_kwargs = { - "encoding_name": encoding_name, - "model_name": model_name, - "allowed_special": allowed_special, - "disallowed_special": disallowed_special, - } - kwargs = {**kwargs, **extra_kwargs} - - return cls(length_function=lambda x: [_tiktoken_encoder(text) for text in x], **kwargs) - def transform_documents(self, documents: Sequence[Document], **kwargs: Any) -> Sequence[Document]: """Transform sequence of documents by splitting them.""" return self.split_documents(list(documents)) diff --git a/api/core/repositories/__init__.py b/api/core/repositories/__init__.py new file mode 100644 index 0000000000..5c70d50cde --- /dev/null +++ b/api/core/repositories/__init__.py @@ -0,0 +1,6 @@ +""" +Repository implementations for data access. + +This package contains concrete implementations of the repository interfaces +defined in the core.workflow.repository package. +""" diff --git a/api/core/repositories/repository_registry.py b/api/core/repositories/repository_registry.py new file mode 100644 index 0000000000..b66f3ba8e6 --- /dev/null +++ b/api/core/repositories/repository_registry.py @@ -0,0 +1,87 @@ +""" +Registry for repository implementations. + +This module is responsible for registering factory functions with the repository factory. +""" + +import logging +from collections.abc import Mapping +from typing import Any + +from sqlalchemy.orm import sessionmaker + +from configs import dify_config +from core.repositories.workflow_node_execution import SQLAlchemyWorkflowNodeExecutionRepository +from core.workflow.repository.repository_factory import RepositoryFactory +from extensions.ext_database import db + +logger = logging.getLogger(__name__) + +# Storage type constants +STORAGE_TYPE_RDBMS = "rdbms" +STORAGE_TYPE_HYBRID = "hybrid" + + +def register_repositories() -> None: + """ + Register repository factory functions with the RepositoryFactory. + + This function reads configuration settings to determine which repository + implementations to register. + """ + # Configure WorkflowNodeExecutionRepository factory based on configuration + workflow_node_execution_storage = dify_config.WORKFLOW_NODE_EXECUTION_STORAGE + + # Check storage type and register appropriate implementation + if workflow_node_execution_storage == STORAGE_TYPE_RDBMS: + # Register SQLAlchemy implementation for RDBMS storage + logger.info("Registering WorkflowNodeExecution repository with RDBMS storage") + RepositoryFactory.register_workflow_node_execution_factory(create_workflow_node_execution_repository) + elif workflow_node_execution_storage == STORAGE_TYPE_HYBRID: + # Hybrid storage is not yet implemented + raise NotImplementedError("Hybrid storage for WorkflowNodeExecution repository is not yet implemented") + else: + # Unknown storage type + raise ValueError( + f"Unknown storage type '{workflow_node_execution_storage}' for WorkflowNodeExecution repository. " + f"Supported types: {STORAGE_TYPE_RDBMS}" + ) + + +def create_workflow_node_execution_repository(params: Mapping[str, Any]) -> SQLAlchemyWorkflowNodeExecutionRepository: + """ + Create a WorkflowNodeExecutionRepository instance using SQLAlchemy implementation. + + This factory function creates a repository for the RDBMS storage type. + + Args: + params: Parameters for creating the repository, including: + - tenant_id: Required. The tenant ID for multi-tenancy. + - app_id: Optional. The application ID for filtering. + - session_factory: Optional. A SQLAlchemy sessionmaker instance. If not provided, + a new sessionmaker will be created using the global database engine. + + Returns: + A WorkflowNodeExecutionRepository instance + + Raises: + ValueError: If required parameters are missing + """ + # Extract required parameters + tenant_id = params.get("tenant_id") + if tenant_id is None: + raise ValueError("tenant_id is required for WorkflowNodeExecution repository with RDBMS storage") + + # Extract optional parameters + app_id = params.get("app_id") + + # Use the session_factory from params if provided, otherwise create one using the global db engine + session_factory = params.get("session_factory") + if session_factory is None: + # Create a sessionmaker using the same engine as the global db session + session_factory = sessionmaker(bind=db.engine) + + # Create and return the repository + return SQLAlchemyWorkflowNodeExecutionRepository( + session_factory=session_factory, tenant_id=tenant_id, app_id=app_id + ) diff --git a/api/core/repositories/workflow_node_execution/__init__.py b/api/core/repositories/workflow_node_execution/__init__.py new file mode 100644 index 0000000000..76e8282b7d --- /dev/null +++ b/api/core/repositories/workflow_node_execution/__init__.py @@ -0,0 +1,9 @@ +""" +WorkflowNodeExecution repository implementations. +""" + +from core.repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository + +__all__ = [ + "SQLAlchemyWorkflowNodeExecutionRepository", +] diff --git a/api/core/repositories/workflow_node_execution/sqlalchemy_repository.py b/api/core/repositories/workflow_node_execution/sqlalchemy_repository.py new file mode 100644 index 0000000000..b1d37163a4 --- /dev/null +++ b/api/core/repositories/workflow_node_execution/sqlalchemy_repository.py @@ -0,0 +1,196 @@ +""" +SQLAlchemy implementation of the WorkflowNodeExecutionRepository. +""" + +import logging +from collections.abc import Sequence +from typing import Optional + +from sqlalchemy import UnaryExpression, asc, delete, desc, select +from sqlalchemy.engine import Engine +from sqlalchemy.orm import sessionmaker + +from core.workflow.repository.workflow_node_execution_repository import OrderConfig +from models.workflow import WorkflowNodeExecution, WorkflowNodeExecutionStatus, WorkflowNodeExecutionTriggeredFrom + +logger = logging.getLogger(__name__) + + +class SQLAlchemyWorkflowNodeExecutionRepository: + """ + SQLAlchemy implementation of the WorkflowNodeExecutionRepository 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. + """ + + def __init__(self, session_factory: sessionmaker | Engine, tenant_id: str, app_id: Optional[str] = None): + """ + Initialize the repository with a SQLAlchemy sessionmaker or engine and tenant context. + + Args: + session_factory: SQLAlchemy sessionmaker or engine for creating sessions + tenant_id: Tenant ID for multi-tenancy + app_id: Optional app ID for filtering by application + """ + # 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" + ) + + self._tenant_id = tenant_id + self._app_id = app_id + + def save(self, execution: WorkflowNodeExecution) -> None: + """ + Save a WorkflowNodeExecution instance and commit changes to the database. + + Args: + execution: The WorkflowNodeExecution instance to save + """ + with self._session_factory() as session: + # Ensure tenant_id is set + if not execution.tenant_id: + execution.tenant_id = self._tenant_id + + # Set app_id if provided and not already set + if self._app_id and not execution.app_id: + execution.app_id = self._app_id + + session.add(execution) + session.commit() + + def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]: + """ + Retrieve a WorkflowNodeExecution by its node_execution_id. + + Args: + node_execution_id: The node execution ID + + Returns: + The WorkflowNodeExecution instance if found, None otherwise + """ + with self._session_factory() as session: + stmt = select(WorkflowNodeExecution).where( + WorkflowNodeExecution.node_execution_id == node_execution_id, + WorkflowNodeExecution.tenant_id == self._tenant_id, + ) + + if self._app_id: + stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + + return session.scalar(stmt) + + def get_by_workflow_run( + self, + workflow_run_id: str, + order_config: Optional[OrderConfig] = None, + ) -> Sequence[WorkflowNodeExecution]: + """ + Retrieve all WorkflowNodeExecution instances for a specific workflow run. + + 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 WorkflowNodeExecution 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.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN, + ) + + if self._app_id: + stmt = stmt.where(WorkflowNodeExecution.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) + if not column: + continue + if order_config.order_direction == "desc": + order_columns.append(desc(column)) + else: + order_columns.append(asc(column)) + + if order_columns: + stmt = stmt.order_by(*order_columns) + + return session.scalars(stmt).all() + + def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]: + """ + Retrieve all running WorkflowNodeExecution instances for a specific workflow run. + + Args: + workflow_run_id: The workflow run ID + + Returns: + A list of running WorkflowNodeExecution 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, + ) + + if self._app_id: + stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + + return session.scalars(stmt).all() + + def update(self, execution: WorkflowNodeExecution) -> None: + """ + Update an existing WorkflowNodeExecution instance and commit changes to the database. + + Args: + execution: The WorkflowNodeExecution instance to update + """ + with self._session_factory() as session: + # Ensure tenant_id is set + if not execution.tenant_id: + execution.tenant_id = self._tenant_id + + # Set app_id if provided and not already set + if self._app_id and not execution.app_id: + execution.app_id = self._app_id + + session.merge(execution) + session.commit() + + def clear(self) -> None: + """ + Clear all WorkflowNodeExecution records for the current tenant_id and app_id. + + This method deletes all WorkflowNodeExecution records that match the tenant_id + and app_id (if provided) associated with this repository instance. + """ + with self._session_factory() as session: + stmt = delete(WorkflowNodeExecution).where(WorkflowNodeExecution.tenant_id == self._tenant_id) + + if self._app_id: + stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id) + + result = session.execute(stmt) + session.commit() + + deleted_count = result.rowcount + logger.info( + f"Cleared {deleted_count} workflow node execution records for tenant {self._tenant_id}" + + (f" and app {self._app_id}" if self._app_id else "") + ) diff --git a/api/core/tools/builtin_tool/provider.py b/api/core/tools/builtin_tool/provider.py index 4f733f0ea1..cf75bd3d7e 100644 --- a/api/core/tools/builtin_tool/provider.py +++ b/api/core/tools/builtin_tool/provider.py @@ -35,8 +35,9 @@ class BuiltinToolProviderController(ToolProviderController): provider_yaml["credentials_for_provider"][credential_name]["name"] = credential_name credentials_schema = [] - for credential in provider_yaml.get("credentials_for_provider", {}).values(): - credentials_schema.append(credential) + for credential in provider_yaml.get("credentials_for_provider", {}): + credential_dict = provider_yaml.get("credentials_for_provider", {}).get(credential, {}) + credentials_schema.append(credential_dict) super().__init__( entity=ToolProviderEntity( diff --git a/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml b/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml index 0f51674987..7d2bf9301c 100644 --- a/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml +++ b/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml @@ -8,7 +8,7 @@ identity: description: human: en_US: Run code and get the result back. When you're using a lower quality model, please make sure there are some tips help LLM to understand how to write the code. - zh_Hans: 运行一段代码并返回结果。当您使用较低质量的模型时，请确保有一些提示帮助LLM理解如何编写代码。 + zh_Hans: 运行一段代码并返回结果。当您使用较低质量的模型时，请确保有一些提示帮助 LLM 理解如何编写代码。 pt_BR: Execute um trecho de código e obtenha o resultado de volta. quando você estiver usando um modelo de qualidade inferior, certifique-se de que existam algumas dicas para ajudar o LLM a entender como escrever o código. llm: A tool for running code and getting the result back. Only native packages are allowed, network/IO operations are disabled. and you must use print() or console.log() to output the result or result will be empty. parameters: diff --git a/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml index 6a3b90595f..e7fed846c8 100644 --- a/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml +++ b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml @@ -19,7 +19,7 @@ parameters: zh_Hans: 本地时间 human_description: en_US: localtime, such as 2024-1-1 0:0:0 - zh_Hans: 本地时间, 比如2024-1-1 0:0:0 + zh_Hans: 本地时间，比如 2024-1-1 0:0:0 - name: timezone type: string required: false @@ -29,5 +29,5 @@ parameters: zh_Hans: 时区 human_description: en_US: Timezone, such as Asia/Shanghai - zh_Hans: 时区, 比如Asia/Shanghai + zh_Hans: 时区，比如 Asia/Shanghai default: Asia/Shanghai diff --git a/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml index 3794e717b4..c13a4556cc 100644 --- a/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml +++ b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml @@ -29,5 +29,5 @@ parameters: zh_Hans: 时区 human_description: en_US: Timezone, such as Asia/Shanghai - zh_Hans: 时区, 比如Asia/Shanghai + zh_Hans: 时区，比如 Asia/Shanghai default: Asia/Shanghai diff --git a/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml index 4c221c2e51..bc383cd74a 100644 --- a/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml +++ b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml @@ -19,7 +19,7 @@ parameters: zh_Hans: 当前时间 human_description: en_US: current time, such as 2024-1-1 0:0:0 - zh_Hans: 当前时间, 比如2024-1-1 0:0:0 + zh_Hans: 当前时间，比如 2024-1-1 0:0:0 - name: current_timezone type: string required: true @@ -29,7 +29,7 @@ parameters: zh_Hans: 当前时区 human_description: en_US: Current Timezone, such as Asia/Shanghai - zh_Hans: 当前时区, 比如Asia/Shanghai + zh_Hans: 当前时区，比如 Asia/Shanghai default: Asia/Shanghai - name: target_timezone type: string @@ -40,5 +40,5 @@ parameters: zh_Hans: 目标时区 human_description: en_US: Target Timezone, such as Asia/Tokyo - zh_Hans: 目标时区, 比如Asia/Tokyo + zh_Hans: 目标时区，比如 Asia/Tokyo default: Asia/Tokyo diff --git a/api/core/tools/builtin_tool/tool.py b/api/core/tools/builtin_tool/tool.py index 7f37f98d0c..724a2291c6 100644 --- a/api/core/tools/builtin_tool/tool.py +++ b/api/core/tools/builtin_tool/tool.py @@ -6,8 +6,8 @@ from core.tools.entities.tool_entities import ToolProviderType from core.tools.utils.model_invocation_utils import ModelInvocationUtils _SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language -and you can quickly aimed at the main point of an webpage and reproduce it in your own words but -retain the original meaning and keep the key points. +and you can quickly aimed at the main point of an webpage and reproduce it in your own words but +retain the original meaning and keep the key points. however, the text you got is too long, what you got is possible a part of the text. Please summarize the text you got. """ diff --git a/api/core/tools/custom_tool/provider.py b/api/core/tools/custom_tool/provider.py index bfceb6679b..3137d32013 100644 --- a/api/core/tools/custom_tool/provider.py +++ b/api/core/tools/custom_tool/provider.py @@ -59,7 +59,7 @@ class ApiToolProviderController(ToolProviderController): name="api_key_value", required=True, type=ProviderConfig.Type.SECRET_INPUT, - help=I18nObject(en_US="The api key", zh_Hans="api key的值"), + help=I18nObject(en_US="The api key", zh_Hans="api key 的值"), ), ProviderConfig( name="api_key_header_prefix", diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py index d756763137..37375f4a71 100644 --- a/api/core/tools/entities/tool_entities.py +++ b/api/core/tools/entities/tool_entities.py @@ -120,6 +120,13 @@ class ToolInvokeMessage(BaseModel): class BlobMessage(BaseModel): blob: bytes + class BlobChunkMessage(BaseModel): + id: str = Field(..., description="The id of the blob") + sequence: int = Field(..., description="The sequence of the chunk") + total_length: int = Field(..., description="The total length of the blob") + blob: bytes = Field(..., description="The blob data of the chunk") + end: bool = Field(..., description="Whether the chunk is the last chunk") + class FileMessage(BaseModel): pass @@ -180,12 +187,15 @@ class ToolInvokeMessage(BaseModel): VARIABLE = "variable" FILE = "file" LOG = "log" + BLOB_CHUNK = "blob_chunk" type: MessageType = MessageType.TEXT """ plain text, image url or link url """ - message: JsonMessage | TextMessage | BlobMessage | LogMessage | FileMessage | None | VariableMessage + message: ( + JsonMessage | TextMessage | BlobChunkMessage | BlobMessage | LogMessage | FileMessage | None | VariableMessage + ) meta: dict[str, Any] | None = None @field_validator("message", mode="before") diff --git a/api/core/tools/plugin_tool/provider.py b/api/core/tools/plugin_tool/provider.py index 3616e426b9..494b8e209c 100644 --- a/api/core/tools/plugin_tool/provider.py +++ b/api/core/tools/plugin_tool/provider.py @@ -1,6 +1,6 @@ from typing import Any -from core.plugin.manager.tool import PluginToolManager +from core.plugin.impl.tool import PluginToolManager from core.tools.__base.tool_runtime import ToolRuntime from core.tools.builtin_tool.provider import BuiltinToolProviderController from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin, ToolProviderType diff --git a/api/core/tools/plugin_tool/tool.py b/api/core/tools/plugin_tool/tool.py index f31a9a0d3e..d21e3d7d1c 100644 --- a/api/core/tools/plugin_tool/tool.py +++ b/api/core/tools/plugin_tool/tool.py @@ -1,7 +1,7 @@ from collections.abc import Generator from typing import Any, Optional -from core.plugin.manager.tool import PluginToolManager +from core.plugin.impl.tool import PluginToolManager from core.plugin.utils.converter import convert_parameters_to_plugin_format from core.tools.__base.tool import Tool from core.tools.__base.tool_runtime import ToolRuntime diff --git a/api/core/tools/tool_engine.py b/api/core/tools/tool_engine.py index 997917f31c..3dce1ca293 100644 --- a/api/core/tools/tool_engine.py +++ b/api/core/tools/tool_engine.py @@ -246,7 +246,7 @@ class ToolEngine: + "you do not need to create it, just tell the user to check it now." ) elif response.type == ToolInvokeMessage.MessageType.JSON: - result = json.dumps( + result += json.dumps( cast(ToolInvokeMessage.JsonMessage, response.message).json_object, ensure_ascii=False ) else: diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py index f2d0b74f7c..aa2661fe63 100644 --- a/api/core/tools/tool_manager.py +++ b/api/core/tools/tool_manager.py @@ -10,7 +10,7 @@ from yarl import URL import contexts from core.plugin.entities.plugin import ToolProviderID -from core.plugin.manager.tool import PluginToolManager +from core.plugin.impl.tool import PluginToolManager from core.tools.__base.tool_provider import ToolProviderController from core.tools.__base.tool_runtime import ToolRuntime from core.tools.plugin_tool.provider import PluginToolProviderController 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 63260cfac3..dcd3d080f3 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.rag.datasource.retrieval_service import RetrievalService from core.rag.entities.context_entities import DocumentContext +from core.rag.entities.metadata_entities import MetadataCondition from core.rag.models.document import Document as RetrievalDocument from core.rag.retrieval.retrieval_methods import RetrievalMethod from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool @@ -33,6 +34,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): args_schema: type[BaseModel] = DatasetRetrieverToolInput description: str = "use this to retrieve a dataset. " dataset_id: str + metadata_filtering_conditions: MetadataCondition @classmethod def from_dataset(cls, dataset: Dataset, **kwargs): @@ -46,6 +48,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): tenant_id=dataset.tenant_id, dataset_id=dataset.id, description=description, + metadata_filtering_conditions=MetadataCondition(), **kwargs, ) @@ -65,6 +68,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): dataset_id=dataset.id, query=query, external_retrieval_parameters=dataset.retrieval_model, + metadata_condition=self.metadata_filtering_conditions, ) for external_document in external_documents: document = RetrievalDocument( @@ -86,6 +90,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): "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, @@ -93,7 +98,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool): "title": item.metadata.get("title"), "content": item.page_content, } - context_list.append(source) + context_list.append(source) for hit_callback in self.hit_callbacks: hit_callback.return_retriever_resource_info(context_list) diff --git a/api/core/workflow/graph_engine/entities/next_graph_node.py b/api/core/workflow/graph_engine/entities/next_graph_node.py deleted file mode 100644 index 6aa4341ddf..0000000000 --- a/api/core/workflow/graph_engine/entities/next_graph_node.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Optional - -from pydantic import BaseModel - -from core.workflow.graph_engine.entities.graph import GraphParallel - - -class NextGraphNode(BaseModel): - node_id: str - """next node id""" - - parallel: Optional[GraphParallel] = None - """parallel""" diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py index 7c8960fe49..771e0ca7a5 100644 --- a/api/core/workflow/nodes/agent/agent_node.py +++ b/api/core/workflow/nodes/agent/agent_node.py @@ -7,8 +7,8 @@ from core.agent.plugin_entities import AgentStrategyParameter from core.memory.token_buffer_memory import TokenBufferMemory from core.model_manager import ModelInstance, ModelManager from core.model_runtime.entities.model_entities import AIModelEntity, ModelType -from core.plugin.manager.exc import PluginDaemonClientSideError -from core.plugin.manager.plugin import PluginInstallationManager +from core.plugin.impl.exc import PluginDaemonClientSideError +from core.plugin.impl.plugin import PluginInstaller from core.provider_manager import ProviderManager from core.tools.entities.tool_entities import ToolParameter, ToolProviderType from core.tools.tool_manager import ToolManager @@ -16,7 +16,7 @@ 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.enums import SystemVariableKey -from core.workflow.nodes.agent.entities import AgentNodeData, ParamsAutoGenerated +from core.workflow.nodes.agent.entities import AgentNodeData, AgentOldVersionModelFeatures, ParamsAutoGenerated from core.workflow.nodes.base.entities import BaseNodeData from core.workflow.nodes.enums import NodeType from core.workflow.nodes.event.event import RunCompletedEvent @@ -251,7 +251,12 @@ class AgentNode(ToolNode): prompt_message.model_dump(mode="json") for prompt_message in prompt_messages ] value["history_prompt_messages"] = history_prompt_messages - value["entity"] = model_schema.model_dump(mode="json") if model_schema else None + if model_schema: + # remove structured output feature to support old version agent plugin + model_schema = self._remove_unsupported_model_features_for_old_version(model_schema) + value["entity"] = model_schema.model_dump(mode="json") + else: + value["entity"] = None result[parameter_name] = value return result @@ -292,7 +297,7 @@ class AgentNode(ToolNode): Get agent strategy icon :return: """ - manager = PluginInstallationManager() + manager = PluginInstaller() plugins = manager.list_plugins(self.tenant_id) try: current_plugin = next( @@ -348,3 +353,10 @@ class AgentNode(ToolNode): ) model_schema = model_type_instance.get_model_schema(model_name, model_credentials) return model_instance, model_schema + + 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: + 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 87cc7e9824..77e94375bf 100644 --- a/api/core/workflow/nodes/agent/entities.py +++ b/api/core/workflow/nodes/agent/entities.py @@ -24,3 +24,18 @@ class AgentNodeData(BaseNodeData): class ParamsAutoGenerated(Enum): CLOSE = 0 OPEN = 1 + + +class AgentOldVersionModelFeatures(Enum): + """ + Enum class for old SDK version llm feature. + """ + + TOOL_CALL = "tool-call" + MULTI_TOOL_CALL = "multi-tool-call" + AGENT_THOUGHT = "agent-thought" + VISION = "vision" + STREAM_TOOL_CALL = "stream-tool-call" + DOCUMENT = "document" + VIDEO = "video" + AUDIO = "audio" diff --git a/api/core/workflow/nodes/answer/answer_stream_processor.py b/api/core/workflow/nodes/answer/answer_stream_processor.py index d8ad1dbd49..ba6ba16e36 100644 --- a/api/core/workflow/nodes/answer/answer_stream_processor.py +++ b/api/core/workflow/nodes/answer/answer_stream_processor.py @@ -155,9 +155,28 @@ class AnswerStreamProcessor(StreamProcessor): for answer_node_id, route_position in self.route_position.items(): if answer_node_id not in self.rest_node_ids: continue - # exclude current node id + # Remove current node id from answer dependencies to support stream output if it is a success branch answer_dependencies = self.generate_routes.answer_dependencies - if event.node_id in answer_dependencies[answer_node_id]: + edge_mapping = self.graph.edge_mapping.get(event.node_id) + success_edge = ( + next( + ( + edge + for edge in edge_mapping + if edge.run_condition + and edge.run_condition.type == "branch_identify" + and edge.run_condition.branch_identify == "success-branch" + ), + None, + ) + if edge_mapping + else None + ) + if ( + event.node_id in answer_dependencies[answer_node_id] + and success_edge + and success_edge.target_node_id == answer_node_id + ): answer_dependencies[answer_node_id].remove(event.node_id) answer_dependencies_ids = answer_dependencies.get(answer_node_id, []) # all depends on answer node id not in rest node ids diff --git a/api/core/workflow/nodes/document_extractor/node.py b/api/core/workflow/nodes/document_extractor/node.py index 960d0c3961..8fb1baec89 100644 --- a/api/core/workflow/nodes/document_extractor/node.py +++ b/api/core/workflow/nodes/document_extractor/node.py @@ -11,6 +11,7 @@ import docx import pandas as pd import pypandoc # type: ignore import pypdfium2 # type: ignore +import webvtt # type: ignore import yaml # type: ignore from docx.document import Document from docx.oxml.table import CT_Tbl @@ -132,6 +133,10 @@ def _extract_text_by_mime_type(*, file_content: bytes, mime_type: str) -> str: return _extract_text_from_json(file_content) case "application/x-yaml" | "text/yaml": return _extract_text_from_yaml(file_content) + case "text/vtt": + return _extract_text_from_vtt(file_content) + case "text/properties": + return _extract_text_from_properties(file_content) case _: raise UnsupportedFileTypeError(f"Unsupported MIME type: {mime_type}") @@ -139,7 +144,7 @@ def _extract_text_by_mime_type(*, file_content: bytes, mime_type: str) -> str: def _extract_text_by_file_extension(*, file_content: bytes, file_extension: str) -> str: """Extract text from a file based on its file extension.""" match file_extension: - case ".txt" | ".markdown" | ".md" | ".html" | ".htm" | ".xml" | ".vtt": + case ".txt" | ".markdown" | ".md" | ".html" | ".htm" | ".xml": return _extract_text_from_plain_text(file_content) case ".json": return _extract_text_from_json(file_content) @@ -165,6 +170,10 @@ def _extract_text_by_file_extension(*, file_content: bytes, file_extension: str) return _extract_text_from_eml(file_content) case ".msg": return _extract_text_from_msg(file_content) + case ".vtt": + return _extract_text_from_vtt(file_content) + case ".properties": + return _extract_text_from_properties(file_content) case _: raise UnsupportedFileTypeError(f"Unsupported Extension Type: {file_extension}") @@ -214,8 +223,8 @@ def _extract_text_from_doc(file_content: bytes) -> str: """ from unstructured.partition.api import partition_via_api - if not (dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY): - raise TextExtractionError("UNSTRUCTURED_API_URL and UNSTRUCTURED_API_KEY must be set") + if not dify_config.UNSTRUCTURED_API_URL: + raise TextExtractionError("UNSTRUCTURED_API_URL must be set") try: with tempfile.NamedTemporaryFile(suffix=".doc", delete=False) as temp_file: @@ -226,7 +235,7 @@ def _extract_text_from_doc(file_content: bytes) -> str: file=file, metadata_filename=temp_file.name, api_url=dify_config.UNSTRUCTURED_API_URL, - api_key=dify_config.UNSTRUCTURED_API_KEY, + api_key=dify_config.UNSTRUCTURED_API_KEY, # type: ignore ) os.unlink(temp_file.name) return "\n".join([getattr(element, "text", "") for element in elements]) @@ -462,3 +471,68 @@ def _extract_text_from_msg(file_content: bytes) -> str: return "\n".join([str(element) for element in elements]) except Exception as e: raise TextExtractionError(f"Failed to extract text from MSG: {str(e)}") from e + + +def _extract_text_from_vtt(vtt_bytes: bytes) -> str: + text = _extract_text_from_plain_text(vtt_bytes) + + # remove bom + text = text.lstrip("\ufeff") + + raw_results = [] + for caption in webvtt.from_string(text): + raw_results.append((caption.voice, caption.text)) + + # Merge consecutive utterances by the same speaker + merged_results = [] + if raw_results: + current_speaker, current_text = raw_results[0] + + for i in range(1, len(raw_results)): + spk, txt = raw_results[i] + if spk == None: + merged_results.append((None, current_text)) + continue + + if spk == current_speaker: + # If it is the same speaker, merge the utterances (joined by space) + current_text += " " + txt + else: + # If the speaker changes, register the utterance so far and move on + merged_results.append((current_speaker, current_text)) + current_speaker, current_text = spk, txt + + # Add the last element + merged_results.append((current_speaker, current_text)) + else: + merged_results = raw_results + + # Return the result in the specified format: Speaker "text" style + formatted = [f'{spk or ""} "{txt}"' for spk, txt in merged_results] + return "\n".join(formatted) + + +def _extract_text_from_properties(file_content: bytes) -> str: + try: + text = _extract_text_from_plain_text(file_content) + lines = text.splitlines() + result = [] + for line in lines: + line = line.strip() + # Preserve comments and empty lines + if not line or line.startswith("#") or line.startswith("!"): + result.append(line) + continue + + if "=" in line: + key, value = line.split("=", 1) + elif ":" in line: + key, value = line.split(":", 1) + else: + key, value = line, "" + + result.append(f"{key.strip()}: {value.strip()}") + + return "\n".join(result) + except Exception as e: + raise TextExtractionError(f"Failed to extract text from properties file: {str(e)}") from e diff --git a/api/core/workflow/nodes/http_request/entities.py b/api/core/workflow/nodes/http_request/entities.py index 054e30f0aa..8d7ba25d47 100644 --- a/api/core/workflow/nodes/http_request/entities.py +++ b/api/core/workflow/nodes/http_request/entities.py @@ -90,6 +90,7 @@ class HttpRequestNodeData(BaseNodeData): params: str body: Optional[HttpRequestNodeBody] = None timeout: Optional[HttpRequestNodeTimeout] = None + ssl_verify: Optional[bool] = dify_config.HTTP_REQUEST_NODE_SSL_VERIFY class Response: diff --git a/api/core/workflow/nodes/http_request/executor.py b/api/core/workflow/nodes/http_request/executor.py index bf28222de0..5d466e645f 100644 --- a/api/core/workflow/nodes/http_request/executor.py +++ b/api/core/workflow/nodes/http_request/executor.py @@ -1,3 +1,4 @@ +import base64 import json from collections.abc import Mapping from copy import deepcopy @@ -87,6 +88,7 @@ class Executor: self.method = node_data.method self.auth = node_data.authorization self.timeout = timeout + self.ssl_verify = node_data.ssl_verify self.params = [] self.headers = {} self.content = None @@ -259,7 +261,9 @@ class Executor: if self.auth.config.type == "bearer": headers[authorization.config.header] = f"Bearer {authorization.config.api_key}" elif self.auth.config.type == "basic": - headers[authorization.config.header] = f"Basic {authorization.config.api_key}" + credentials = authorization.config.api_key + encoded_credentials = base64.b64encode(credentials.encode("utf-8")).decode("utf-8") + headers[authorization.config.header] = f"Basic {encoded_credentials}" elif self.auth.config.type == "custom": headers[authorization.config.header] = authorization.config.api_key or "" @@ -313,6 +317,7 @@ class Executor: "headers": headers, "params": self.params, "timeout": (self.timeout.connect, self.timeout.read, self.timeout.write), + "ssl_verify": self.ssl_verify, "follow_redirects": True, "max_retries": self.max_retries, } diff --git a/api/core/workflow/nodes/http_request/node.py b/api/core/workflow/nodes/http_request/node.py index 467161d5ed..fd2b0f9ae8 100644 --- a/api/core/workflow/nodes/http_request/node.py +++ b/api/core/workflow/nodes/http_request/node.py @@ -51,6 +51,7 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): "max_read_timeout": dify_config.HTTP_REQUEST_MAX_READ_TIMEOUT, "max_write_timeout": dify_config.HTTP_REQUEST_MAX_WRITE_TIMEOUT, }, + "ssl_verify": dify_config.HTTP_REQUEST_NODE_SSL_VERIFY, }, "retry_config": { "max_retries": dify_config.SSRF_DEFAULT_MAX_RETRIES, 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 8603739482..66be95cdd9 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -259,6 +259,7 @@ class KnowledgeRetrievalNode(LLMNode): "_source": "knowledge", "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": "workflow", @@ -348,7 +349,9 @@ class KnowledgeRetrievalNode(LLMNode): ) ) metadata_condition = MetadataCondition( - logical_operator=node_data.metadata_filtering_conditions.logical_operator, # type: ignore + logical_operator=node_data.metadata_filtering_conditions.logical_operator + if node_data.metadata_filtering_conditions + else "or", # type: ignore conditions=conditions, ) elif node_data.metadata_filtering_mode == "manual": @@ -379,7 +382,10 @@ class KnowledgeRetrievalNode(LLMNode): else: raise ValueError("Invalid metadata filtering mode") if filters: - if node_data.metadata_filtering_conditions.logical_operator == "and": # type: ignore + if ( + node_data.metadata_filtering_conditions + and node_data.metadata_filtering_conditions.logical_operator == "and" + ): # type: ignore document_query = document_query.filter(and_(*filters)) else: document_query = document_query.filter(or_(*filters)) @@ -501,7 +507,7 @@ class KnowledgeRetrievalNode(LLMNode): filters.append(sqlalchemy_cast(Document.doc_metadata[metadata_name].astext, Integer) < value) case "after" | ">": filters.append(sqlalchemy_cast(Document.doc_metadata[metadata_name].astext, Integer) > value) - case "≤" | ">=": + case "≤" | "<=": filters.append(sqlalchemy_cast(Document.doc_metadata[metadata_name].astext, Integer) <= value) case "≥" | ">=": filters.append(sqlalchemy_cast(Document.doc_metadata[metadata_name].astext, Integer) >= value) @@ -596,7 +602,6 @@ class KnowledgeRetrievalNode(LLMNode): def _get_prompt_template(self, node_data: KnowledgeRetrievalNodeData, metadata_fields: list, query: str): model_mode = ModelMode.value_of(node_data.metadata_model_config.mode) # type: ignore input_text = query - memory_str = "" prompt_messages: list[LLMNodeChatModelMessage] = [] if model_mode == ModelMode.CHAT: diff --git a/api/core/workflow/nodes/knowledge_retrieval/template_prompts.py b/api/core/workflow/nodes/knowledge_retrieval/template_prompts.py index 7abd55d798..acde842702 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/template_prompts.py +++ b/api/core/workflow/nodes/knowledge_retrieval/template_prompts.py @@ -50,7 +50,7 @@ You are a text metadata extract engine that extract text's metadata based on use # Your task is to ONLY extract the metadatas that exist in the input text from the provided metadata list and Use the following operators ["=", "!=", ">", "<", ">=", "<="] to express logical relationships, then return result in JSON format with the key "metadata_fields" and value "metadata_field_value" and comparison operator "comparison_operator". ### Format The input text is in the variable input_text. Metadata are specified as a list in the variable metadata_fields. -### Constraint +### Constraint DO NOT include anything other than the JSON array in your response. ### Example Here is the chat example between human and assistant, inside XML tags. @@ -59,7 +59,7 @@ User:{{"input_text": ["I want to know which company’s email address test@examp Assistant:{{"metadata_map": [{{"metadata_field_name": "email", "metadata_field_value": "test@example.com", "comparison_operator": "="}}]}} User:{{"input_text": "What are the movies with a score of more than 9 in 2024?", "metadata_fields": ["name", "year", "rating", "country"]}} Assistant:{{"metadata_map": [{{"metadata_field_name": "year", "metadata_field_value": "2024", "comparison_operator": "="}, {{"metadata_field_name": "rating", "metadata_field_value": "9", "comparison_operator": ">"}}]}} - + ### User Input {{"input_text" : "{input_text}", "metadata_fields" : {metadata_fields}}} ### Assistant Output diff --git a/api/core/workflow/nodes/list_operator/node.py b/api/core/workflow/nodes/list_operator/node.py index 432c57294e..04ccfc5405 100644 --- a/api/core/workflow/nodes/list_operator/node.py +++ b/api/core/workflow/nodes/list_operator/node.py @@ -149,7 +149,10 @@ class ListOperatorNode(BaseNode[ListOperatorNodeData]): def _extract_slice( self, variable: Union[ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment] ) -> Union[ArrayFileSegment, ArrayNumberSegment, ArrayStringSegment]: - value = int(self.graph_runtime_state.variable_pool.convert_template(self.node_data.extract_by.serial).text) - 1 + value = int(self.graph_runtime_state.variable_pool.convert_template(self.node_data.extract_by.serial).text) + if value < 1: + raise ValueError(f"Invalid serial index: must be >= 1, got {value}") + value -= 1 if len(variable.value) > int(value): result = variable.value[value] else: diff --git a/api/core/workflow/nodes/llm/entities.py b/api/core/workflow/nodes/llm/entities.py index bf54fdb80c..486b4b01af 100644 --- a/api/core/workflow/nodes/llm/entities.py +++ b/api/core/workflow/nodes/llm/entities.py @@ -65,6 +65,8 @@ class LLMNodeData(BaseNodeData): memory: Optional[MemoryConfig] = None context: ContextConfig vision: VisionConfig = Field(default_factory=VisionConfig) + structured_output: dict | None = None + structured_output_enabled: bool = False @field_validator("prompt_config", mode="before") @classmethod diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index fe0ed3e564..35b146e5d9 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -4,6 +4,8 @@ from collections.abc import Generator, Mapping, Sequence from datetime import UTC, datetime from typing import TYPE_CHECKING, Any, Optional, cast +import json_repair + from configs import dify_config from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity from core.entities.model_entities import ModelStatus @@ -22,14 +24,21 @@ from core.model_runtime.entities import ( from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, - PromptMessageContent, + PromptMessageContentUnionTypes, PromptMessageRole, SystemPromptMessage, UserPromptMessage, ) -from core.model_runtime.entities.model_entities import ModelFeature, ModelPropertyKey, ModelType +from core.model_runtime.entities.model_entities import ( + AIModelEntity, + ModelFeature, + ModelPropertyKey, + ModelType, + ParameterRule, +) from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.utils.encoders import jsonable_encoder +from core.model_runtime.utils.helper import convert_llm_result_chunk_to_str 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 @@ -57,6 +66,12 @@ from core.workflow.nodes.event import ( RunRetrieverResourceEvent, RunStreamChunkEvent, ) +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 @@ -92,6 +107,12 @@ class LLMNode(BaseNode[LLMNodeData]): _node_type = NodeType.LLM def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: + def process_structured_output(text: str) -> Optional[dict[str, Any] | list[Any]]: + """Process structured output if enabled""" + if not self.node_data.structured_output_enabled or not self.node_data.structured_output: + return None + return self._parse_structured_output(text) + node_inputs: Optional[dict[str, Any]] = None process_data = None result_text = "" @@ -130,7 +151,6 @@ class LLMNode(BaseNode[LLMNodeData]): if isinstance(event, RunRetrieverResourceEvent): context = event.context yield event - if context: node_inputs["#context#"] = context @@ -192,7 +212,9 @@ class LLMNode(BaseNode[LLMNodeData]): self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage) break outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason} - + structured_output = process_structured_output(result_text) + if structured_output: + outputs["structured_output"] = structured_output yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, @@ -248,18 +270,7 @@ class LLMNode(BaseNode[LLMNodeData]): def _handle_invoke_result(self, invoke_result: LLMResult | Generator) -> Generator[NodeEvent, None, None]: if isinstance(invoke_result, LLMResult): - content = invoke_result.message.content - if content is None: - message_text = "" - elif isinstance(content, str): - message_text = content - elif isinstance(content, list): - # Assuming the list contains PromptMessageContent objects with a "data" attribute - message_text = "".join( - item.data if hasattr(item, "data") and isinstance(item.data, str) else str(item) for item in content - ) - else: - message_text = str(content) + message_text = convert_llm_result_chunk_to_str(invoke_result.message.content) yield ModelInvokeCompletedEvent( text=message_text, @@ -274,7 +285,7 @@ class LLMNode(BaseNode[LLMNodeData]): usage = None finish_reason = None for result in invoke_result: - text = result.delta.message.content + text = convert_llm_result_chunk_to_str(result.delta.message.content) full_text += text yield RunStreamChunkEvent(chunk_content=text, from_variable_selector=[self.node_id, "text"]) @@ -513,7 +524,12 @@ class LLMNode(BaseNode[LLMNodeData]): 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, @@ -568,8 +584,7 @@ class LLMNode(BaseNode[LLMNodeData]): variable_pool: VariablePool, jinja2_variables: Sequence[VariableSelector], ) -> tuple[Sequence[PromptMessage], Optional[Sequence[str]]]: - # FIXME: fix the type error cause prompt_messages is type quick a few times - prompt_messages: list[Any] = [] + prompt_messages: list[PromptMessage] = [] if isinstance(prompt_template, list): # For chat model @@ -631,12 +646,14 @@ class LLMNode(BaseNode[LLMNodeData]): # For issue #11247 - Check if prompt content is a string or a list prompt_content_type = type(prompt_content) if prompt_content_type == str: + prompt_content = str(prompt_content) if "#histories#" in prompt_content: prompt_content = prompt_content.replace("#histories#", memory_text) else: prompt_content = memory_text + "\n" + prompt_content prompt_messages[0].content = prompt_content elif prompt_content_type == list: + prompt_content = prompt_content if isinstance(prompt_content, list) else [] for content_item in prompt_content: if content_item.type == PromptMessageContentType.TEXT: if "#histories#" in content_item.data: @@ -649,9 +666,10 @@ class LLMNode(BaseNode[LLMNodeData]): # Add current query to the prompt message if sys_query: if prompt_content_type == str: - prompt_content = prompt_messages[0].content.replace("#sys.query#", sys_query) + prompt_content = str(prompt_messages[0].content).replace("#sys.query#", sys_query) prompt_messages[0].content = prompt_content elif prompt_content_type == list: + prompt_content = prompt_content if isinstance(prompt_content, list) else [] for content_item in prompt_content: if content_item.type == PromptMessageContentType.TEXT: content_item.data = sys_query + "\n" + content_item.data @@ -681,7 +699,7 @@ class LLMNode(BaseNode[LLMNodeData]): filtered_prompt_messages = [] for prompt_message in prompt_messages: if isinstance(prompt_message.content, list): - prompt_message_content = [] + prompt_message_content: list[PromptMessageContentUnionTypes] = [] for content_item in prompt_message.content: # Skip content if features are not defined if not model_config.model_schema.features: @@ -724,10 +742,29 @@ 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 + def _parse_structured_output(self, result_text: str) -> dict[str, Any] | list[Any]: + structured_output: dict[str, Any] | list[Any] = {} + try: + parsed = json.loads(result_text) + if not isinstance(parsed, (dict | list)): + raise LLMNodeError(f"Failed to parse structured output: {result_text}") + structured_output = parsed + except json.JSONDecodeError as e: + # if the result_text is not a valid json, try to repair it + parsed = json_repair.loads(result_text) + if not isinstance(parsed, (dict | list)): + raise LLMNodeError(f"Failed to parse structured output: {result_text}") + structured_output = parsed + return structured_output + @classmethod def deduct_llm_quota(cls, tenant_id: str, model_instance: ModelInstance, usage: LLMUsage) -> None: provider_model_bundle = model_instance.provider_model_bundle @@ -926,8 +963,170 @@ class LLMNode(BaseNode[LLMNodeData]): return prompt_messages + def _handle_native_json_schema(self, model_parameters: dict, rules: list[ParameterRule]) -> dict: + """ + Handle structured output for models with native JSON schema support. + + :param model_parameters: Model parameters to update + :param rules: Model parameter rules + :return: Updated model parameters with JSON schema configuration + """ + # Process schema according to model requirements + schema = self._fetch_structured_output_schema() + schema_json = self._prepare_schema_for_model(schema) + + # Set JSON schema in parameters + model_parameters["json_schema"] = json.dumps(schema_json, ensure_ascii=False) + + # Set appropriate response format if required by the model + for rule in rules: + if rule.name == "response_format" and ResponseFormat.JSON_SCHEMA.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON_SCHEMA.value + + return model_parameters + + def _handle_prompt_based_schema(self, prompt_messages: Sequence[PromptMessage]) -> list[PromptMessage]: + """ + Handle structured output for models without native JSON schema support. + This function modifies the prompt messages to include schema-based output requirements. + + Args: + prompt_messages: Original sequence of prompt messages + + Returns: + list[PromptMessage]: Updated prompt messages with structured output requirements + """ + # Convert schema to string format + schema_str = json.dumps(self._fetch_structured_output_schema(), ensure_ascii=False) + + # Find existing system prompt with schema placeholder + system_prompt = next( + (prompt for prompt in prompt_messages if isinstance(prompt, SystemPromptMessage)), + None, + ) + structured_output_prompt = STRUCTURED_OUTPUT_PROMPT.replace("{{schema}}", schema_str) + # Prepare system prompt content + system_prompt_content = ( + structured_output_prompt + "\n\n" + system_prompt.content + if system_prompt and isinstance(system_prompt.content, str) + else structured_output_prompt + ) + system_prompt = SystemPromptMessage(content=system_prompt_content) + + # Extract content from the last user message + + filtered_prompts = [prompt for prompt in prompt_messages if not isinstance(prompt, SystemPromptMessage)] + updated_prompt = [system_prompt] + filtered_prompts + + return updated_prompt + + def _set_response_format(self, model_parameters: dict, rules: list) -> None: + """ + Set the appropriate response format parameter based on model rules. + + :param model_parameters: Model parameters to update + :param rules: Model parameter rules + """ + for rule in rules: + if rule.name == "response_format": + if ResponseFormat.JSON.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON.value + elif ResponseFormat.JSON_OBJECT.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON_OBJECT.value + + def _prepare_schema_for_model(self, schema: dict) -> dict: + """ + Prepare JSON schema based on model requirements. + + Different models have different requirements for JSON schema formatting. + This function handles these differences. + + :param schema: The original JSON schema + :return: Processed schema compatible with the current model + """ + + # Deep copy to avoid modifying the original schema + processed_schema = schema.copy() + + # Convert boolean types to string types (common requirement) + convert_boolean_to_string(processed_schema) + + # Apply model-specific transformations + if SpecialModelType.GEMINI in self.node_data.model.name: + remove_additional_properties(processed_schema) + return processed_schema + elif SpecialModelType.OLLAMA in self.node_data.model.provider: + return processed_schema + else: + # Default format with name field + return {"schema": processed_schema, "name": "llm_response"} + + def _fetch_model_schema(self, provider: str) -> AIModelEntity | None: + """ + Fetch model schema + """ + model_name = self.node_data.model.name + model_manager = ModelManager() + model_instance = model_manager.get_model_instance( + tenant_id=self.tenant_id, model_type=ModelType.LLM, provider=provider, model=model_name + ) + model_type_instance = model_instance.model_type_instance + model_type_instance = cast(LargeLanguageModel, model_type_instance) + model_credentials = model_instance.credentials + model_schema = model_type_instance.get_model_schema(model_name, model_credentials) + return model_schema + + def _fetch_structured_output_schema(self) -> dict[str, Any]: + """ + Fetch the structured output schema from the node data. + + Returns: + dict[str, Any]: The structured output schema + """ + if not self.node_data.structured_output: + raise LLMNodeError("Please provide a valid structured output schema") + structured_output_schema = json.dumps(self.node_data.structured_output.get("schema", {}), ensure_ascii=False) + if not structured_output_schema: + raise LLMNodeError("Please provide a valid structured output schema") + + try: + schema = json.loads(structured_output_schema) + if not isinstance(schema, dict): + raise LLMNodeError("structured_output_schema must be a JSON object") + return schema + 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 _combine_message_content_with_role(*, contents: Sequence[PromptMessageContent], role: PromptMessageRole): + +def _combine_message_content_with_role( + *, contents: Optional[str | list[PromptMessageContentUnionTypes]] = None, role: PromptMessageRole +): match role: case PromptMessageRole.USER: return UserPromptMessage(content=contents) @@ -1064,3 +1263,49 @@ def _handle_completion_template( ) prompt_messages.append(prompt_message) return prompt_messages + + +def remove_additional_properties(schema: dict) -> None: + """ + Remove additionalProperties fields from JSON schema. + Used for models like Gemini that don't support this property. + + :param schema: JSON schema to modify in-place + """ + if not isinstance(schema, dict): + return + + # Remove additionalProperties at current level + schema.pop("additionalProperties", None) + + # Process nested structures recursively + for value in schema.values(): + if isinstance(value, dict): + remove_additional_properties(value) + elif isinstance(value, list): + for item in value: + if isinstance(item, dict): + remove_additional_properties(item) + + +def convert_boolean_to_string(schema: dict) -> None: + """ + Convert boolean type specifications to string in JSON schema. + + :param schema: JSON schema to modify in-place + """ + if not isinstance(schema, dict): + return + + # Check for boolean type at current level + if schema.get("type") == "boolean": + schema["type"] = "string" + + # Process nested dictionaries and lists recursively + for value in schema.values(): + if isinstance(value, dict): + convert_boolean_to_string(value) + elif isinstance(value, list): + for item in value: + if isinstance(item, dict): + convert_boolean_to_string(item) 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 be43639fc0..8db1e432fc 100644 --- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py +++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py @@ -186,6 +186,8 @@ class ParameterExtractorNode(LLMNode): "usage": None, "function": {} if not prompt_message_tools else jsonable_encoder(prompt_message_tools[0]), "tool_call": None, + "model_provider": model_config.provider, + "model_name": model_config.model, } try: diff --git a/api/core/workflow/nodes/parameter_extractor/prompts.py b/api/core/workflow/nodes/parameter_extractor/prompts.py index 6c3155ac9a..ab7ddcc32a 100644 --- a/api/core/workflow/nodes/parameter_extractor/prompts.py +++ b/api/core/workflow/nodes/parameter_extractor/prompts.py @@ -17,7 +17,7 @@ Some additional information is provided below. Always adhere to these instructio Steps: 1. Review the chat history provided within the tags. -2. Extract the relevant information based on the criteria given, output multiple values if there is multiple relevant information that match the criteria in the given text. +2. Extract the relevant information based on the criteria given, output multiple values if there is multiple relevant information that match the criteria in the given text. 3. Generate a well-formatted output using the defined functions and arguments. 4. Use the `extract_parameter` function to create structured outputs with appropriate parameters. 5. Do not include any XML tags in your output. @@ -89,13 +89,13 @@ Some extra information are provided below, I should always follow the instructio ### Extract parameter Workflow -I need to extract the following information from the input text. The tag specifies the 'type', 'description' and 'required' of the information to be extracted. +I need to extract the following information from the input text. The tag specifies the 'type', 'description' and 'required' of the information to be extracted. {{ structure }} Step 1: Carefully read the input and understand the structure of the expected output. -Step 2: Extract relevant parameters from the provided text based on the name and description of object. +Step 2: Extract relevant parameters from the provided text based on the name and description of object. Step 3: Structure the extracted parameters to JSON object as specified in . Step 4: Ensure that the JSON object is properly formatted and valid. The output should not contain any XML tags. Only the JSON object should be outputted. @@ -106,10 +106,10 @@ Here are the chat histories between human and assistant, inside ### Structure -Here is the structure of the expected output, I should always follow the output structure. +Here is the structure of the expected output, I should always follow the output structure. {{γγγ - 'properties1': 'relevant text extracted from input', - 'properties2': 'relevant text extracted from input', + 'properties1': 'relevant text extracted from input', + 'properties2': 'relevant text extracted from input', }}γγγ ### Input Text @@ -119,7 +119,7 @@ Inside XML tags, there is a text that I should extract parameters ### Answer -I should always output a valid JSON object. Output nothing other than the JSON object. +I should always output a valid JSON object. Output nothing other than the JSON object. ```JSON """ # noqa: E501 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 0ec44eefac..b4f34a3bef 100644 --- a/api/core/workflow/nodes/question_classifier/question_classifier_node.py +++ b/api/core/workflow/nodes/question_classifier/question_classifier_node.py @@ -130,6 +130,8 @@ class QuestionClassifierNode(LLMNode): ), "usage": jsonable_encoder(usage), "finish_reason": finish_reason, + "model_provider": model_config.provider, + "model_name": model_config.model, } outputs = {"class_name": category_name, "class_id": category_id} diff --git a/api/core/workflow/nodes/question_classifier/template_prompts.py b/api/core/workflow/nodes/question_classifier/template_prompts.py index 70178ed934..a615c32383 100644 --- a/api/core/workflow/nodes/question_classifier/template_prompts.py +++ b/api/core/workflow/nodes/question_classifier/template_prompts.py @@ -55,7 +55,7 @@ You are a text classification engine that analyzes text data and assigns categor Your task is to assign one categories ONLY to the input text and only one category may be assigned returned in the output. Additionally, you need to extract the key words from the text that are related to the classification. ### Format The input text is in the variable input_text. Categories are specified as a category list with two filed category_id and category_name in the variable categories. Classification instructions may be included to improve the classification accuracy. -### Constraint +### Constraint DO NOT include anything other than the JSON array in your response. ### Example Here is the chat example between human and assistant, inside XML tags. @@ -64,7 +64,7 @@ User:{{"input_text": ["I recently had a great experience with your company. The Assistant:{{"keywords": ["recently", "great experience", "company", "service", "prompt", "staff", "friendly"],"category_id": "f5660049-284f-41a7-b301-fd24176a711c","category_name": "Customer Service"}} User:{{"input_text": ["bad service, slow to bring the food"], "categories": [{{"category_id":"80fb86a0-4454-4bf5-924c-f253fdd83c02","category_name":"Food Quality"}},{{"category_id":"f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name":"Experience"}},{{"category_id":"cc771f63-74e7-4c61-882e-3eda9d8ba5d7","category_name":"Price"}}], "classification_instructions": []}} Assistant:{{"keywords": ["bad service", "slow", "food", "tip", "terrible", "waitresses"],"category_id": "f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name": "Experience"}} - + ### Memory Here are the chat histories between human and assistant, inside XML tags. diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index 6f0cc3f6d2..c72ae5b69b 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -6,8 +6,8 @@ from sqlalchemy.orm import Session from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler from core.file import File, FileTransferMethod -from core.plugin.manager.exc import PluginDaemonClientSideError -from core.plugin.manager.plugin import PluginInstallationManager +from core.plugin.impl.exc import PluginDaemonClientSideError +from core.plugin.impl.plugin import PluginInstaller from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter from core.tools.errors import ToolInvokeError from core.tools.tool_engine import ToolEngine @@ -307,7 +307,7 @@ class ToolNode(BaseNode[ToolNodeData]): icon = tool_info.get("icon", "") dict_metadata = dict(message.message.metadata) if dict_metadata.get("provider"): - manager = PluginInstallationManager() + manager = PluginInstaller() plugins = manager.list_plugins(self.tenant_id) try: current_plugin = next( diff --git a/api/core/workflow/nodes/variable_assigner/v2/enums.py b/api/core/workflow/nodes/variable_assigner/v2/enums.py index 36cf68aa19..291b1208d4 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/enums.py +++ b/api/core/workflow/nodes/variable_assigner/v2/enums.py @@ -11,6 +11,8 @@ class Operation(StrEnum): SUBTRACT = "-=" MULTIPLY = "*=" DIVIDE = "/=" + REMOVE_FIRST = "remove-first" + REMOVE_LAST = "remove-last" class InputType(StrEnum): diff --git a/api/core/workflow/nodes/variable_assigner/v2/helpers.py b/api/core/workflow/nodes/variable_assigner/v2/helpers.py index a86c7eb94a..8fb2a27388 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/helpers.py +++ b/api/core/workflow/nodes/variable_assigner/v2/helpers.py @@ -23,6 +23,15 @@ def is_operation_supported(*, variable_type: SegmentType, operation: Operation): SegmentType.ARRAY_NUMBER, SegmentType.ARRAY_FILE, } + case Operation.REMOVE_FIRST | Operation.REMOVE_LAST: + # Only array variable can have elements removed + return variable_type in { + SegmentType.ARRAY_ANY, + SegmentType.ARRAY_OBJECT, + SegmentType.ARRAY_STRING, + SegmentType.ARRAY_NUMBER, + SegmentType.ARRAY_FILE, + } case _: return False @@ -51,7 +60,7 @@ def is_constant_input_supported(*, variable_type: SegmentType, operation: Operat def is_input_value_valid(*, variable_type: SegmentType, operation: Operation, value: Any): - if operation == Operation.CLEAR: + if operation in {Operation.CLEAR, Operation.REMOVE_FIRST, Operation.REMOVE_LAST}: return True match variable_type: case SegmentType.STRING: diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py index 0305eb7f41..6a7ad86b51 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/node.py +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -64,7 +64,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): # Get value from variable pool if ( item.input_type == InputType.VARIABLE - and item.operation != Operation.CLEAR + and item.operation not in {Operation.CLEAR, Operation.REMOVE_FIRST, Operation.REMOVE_LAST} and item.value is not None ): value = self.graph_runtime_state.variable_pool.get(item.value) @@ -165,5 +165,15 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): return variable.value * value case Operation.DIVIDE: return variable.value / value + case Operation.REMOVE_FIRST: + # If array is empty, do nothing + if not variable.value: + return variable.value + return variable.value[1:] + case Operation.REMOVE_LAST: + # If array is empty, do nothing + if not variable.value: + return variable.value + return variable.value[:-1] case _: raise OperationNotSupportedError(operation=operation, variable_type=variable.value_type) diff --git a/api/core/workflow/repository/__init__.py b/api/core/workflow/repository/__init__.py new file mode 100644 index 0000000000..d91506e72f --- /dev/null +++ b/api/core/workflow/repository/__init__.py @@ -0,0 +1,15 @@ +""" +Repository interfaces for data access. + +This package contains repository interfaces that define the contract +for accessing and manipulating data, regardless of the underlying +storage mechanism. +""" + +from core.workflow.repository.repository_factory import RepositoryFactory +from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository + +__all__ = [ + "RepositoryFactory", + "WorkflowNodeExecutionRepository", +] diff --git a/api/core/workflow/repository/repository_factory.py b/api/core/workflow/repository/repository_factory.py new file mode 100644 index 0000000000..45d6f5d842 --- /dev/null +++ b/api/core/workflow/repository/repository_factory.py @@ -0,0 +1,97 @@ +""" +Repository factory for creating repository instances. + +This module provides a simple factory interface for creating repository instances. +It does not contain any implementation details or dependencies on specific repositories. +""" + +from collections.abc import Callable, Mapping +from typing import Any, Literal, Optional, cast + +from core.workflow.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository + +# Type for factory functions - takes a dict of parameters and returns any repository type +RepositoryFactoryFunc = Callable[[Mapping[str, Any]], Any] + +# Type for workflow node execution factory function +WorkflowNodeExecutionFactoryFunc = Callable[[Mapping[str, Any]], WorkflowNodeExecutionRepository] + +# Repository type literals +_RepositoryType = Literal["workflow_node_execution"] + + +class RepositoryFactory: + """ + Factory class for creating repository instances. + + This factory delegates the actual repository creation to implementation-specific + factory functions that are registered with the factory at runtime. + """ + + # Dictionary to store factory functions + _factory_functions: dict[str, RepositoryFactoryFunc] = {} + + @classmethod + def _register_factory(cls, repository_type: _RepositoryType, factory_func: RepositoryFactoryFunc) -> None: + """ + Register a factory function for a specific repository type. + This is a private method and should not be called directly. + + Args: + repository_type: The type of repository (e.g., 'workflow_node_execution') + factory_func: A function that takes parameters and returns a repository instance + """ + cls._factory_functions[repository_type] = factory_func + + @classmethod + def _create_repository(cls, repository_type: _RepositoryType, params: Optional[Mapping[str, Any]] = None) -> Any: + """ + Create a new repository instance with the provided parameters. + This is a private method and should not be called directly. + + Args: + repository_type: The type of repository to create + params: A dictionary of parameters to pass to the factory function + + Returns: + A new instance of the requested repository + + Raises: + ValueError: If no factory function is registered for the repository type + """ + if repository_type not in cls._factory_functions: + raise ValueError(f"No factory function registered for repository type '{repository_type}'") + + # Use empty dict if params is None + params = params or {} + + return cls._factory_functions[repository_type](params) + + @classmethod + def register_workflow_node_execution_factory(cls, factory_func: WorkflowNodeExecutionFactoryFunc) -> None: + """ + Register a factory function for the workflow node execution repository. + + Args: + factory_func: A function that takes parameters and returns a WorkflowNodeExecutionRepository instance + """ + cls._register_factory("workflow_node_execution", factory_func) + + @classmethod + def create_workflow_node_execution_repository( + cls, params: Optional[Mapping[str, Any]] = None + ) -> WorkflowNodeExecutionRepository: + """ + Create a new WorkflowNodeExecutionRepository instance with the provided parameters. + + Args: + params: A dictionary of parameters to pass to the factory function + + Returns: + A new instance of the WorkflowNodeExecutionRepository + + Raises: + ValueError: If no factory function is registered for the workflow_node_execution repository type + """ + # We can safely cast here because we've registered a WorkflowNodeExecutionFactoryFunc + return cast(WorkflowNodeExecutionRepository, cls._create_repository("workflow_node_execution", params)) diff --git a/api/core/workflow/repository/workflow_node_execution_repository.py b/api/core/workflow/repository/workflow_node_execution_repository.py new file mode 100644 index 0000000000..9bb790cb0f --- /dev/null +++ b/api/core/workflow/repository/workflow_node_execution_repository.py @@ -0,0 +1,97 @@ +from collections.abc import Sequence +from dataclasses import dataclass +from typing import Literal, Optional, Protocol + +from models.workflow import WorkflowNodeExecution + + +@dataclass +class OrderConfig: + """Configuration for ordering WorkflowNodeExecution instances.""" + + order_by: list[str] + order_direction: Optional[Literal["asc", "desc"]] = None + + +class WorkflowNodeExecutionRepository(Protocol): + """ + Repository interface for WorkflowNodeExecution. + + This interface defines the contract for accessing and manipulating + WorkflowNodeExecution data, regardless of the underlying storage mechanism. + + Note: Domain-specific concepts like multi-tenancy (tenant_id), application context (app_id), + and trigger sources (triggered_from) 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: WorkflowNodeExecution) -> None: + """ + Save a WorkflowNodeExecution instance. + + Args: + execution: The WorkflowNodeExecution instance to save + """ + ... + + def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]: + """ + Retrieve a WorkflowNodeExecution by its node_execution_id. + + Args: + node_execution_id: The node execution ID + + Returns: + The WorkflowNodeExecution instance if found, None otherwise + """ + ... + + def get_by_workflow_run( + self, + workflow_run_id: str, + order_config: Optional[OrderConfig] = None, + ) -> Sequence[WorkflowNodeExecution]: + """ + Retrieve all WorkflowNodeExecution instances for a specific workflow run. + + 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 WorkflowNodeExecution instances + """ + ... + + def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]: + """ + Retrieve all running WorkflowNodeExecution instances for a specific workflow run. + + Args: + workflow_run_id: The workflow run ID + + Returns: + A list of running WorkflowNodeExecution instances + """ + ... + + def update(self, execution: WorkflowNodeExecution) -> None: + """ + Update an existing WorkflowNodeExecution instance. + + Args: + execution: The WorkflowNodeExecution instance to update + """ + ... + + def clear(self) -> None: + """ + Clear all WorkflowNodeExecution records based on implementation-specific criteria. + + This method is intended to be used for bulk deletion operations, such as removing + all records associated with a specific app_id and tenant_id in multi-tenant implementations. + """ + ... diff --git a/api/core/workflow/utils/structured_output/entities.py b/api/core/workflow/utils/structured_output/entities.py new file mode 100644 index 0000000000..7954acbaee --- /dev/null +++ b/api/core/workflow/utils/structured_output/entities.py @@ -0,0 +1,24 @@ +from enum import StrEnum + + +class ResponseFormat(StrEnum): + """Constants for model response formats""" + + JSON_SCHEMA = "json_schema" # model's structured output mode. some model like gemini, gpt-4o, support this mode. + JSON = "JSON" # model's json mode. some model like claude support this mode. + JSON_OBJECT = "json_object" # json mode's another alias. some model like deepseek-chat, qwen use this alias. + + +class SpecialModelType(StrEnum): + """Constants for identifying model types""" + + 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/utils/structured_output/prompt.py b/api/core/workflow/utils/structured_output/prompt.py new file mode 100644 index 0000000000..06d9b2056e --- /dev/null +++ b/api/core/workflow/utils/structured_output/prompt.py @@ -0,0 +1,17 @@ +STRUCTURED_OUTPUT_PROMPT = """You’re a helpful AI assistant. You could answer questions and output in JSON format. +constraints: + - You must output in JSON format. + - Do not output boolean value, use string type instead. + - Do not output integer or float value, use number type instead. +eg: + Here is the JSON schema: + {"additionalProperties": false, "properties": {"age": {"type": "number"}, "name": {"type": "string"}}, "required": ["name", "age"], "type": "object"} + + Here is the user's question: + My name is John Doe and I am 30 years old. + + output: + {"name": "John Doe", "age": 30} +Here is the JSON schema: +{{schema}} +""" # noqa: E501 diff --git a/api/core/workflow/workflow_entry.py b/api/core/workflow/workflow_entry.py index 50118a401c..7648947fca 100644 --- a/api/core/workflow/workflow_entry.py +++ b/api/core/workflow/workflow_entry.py @@ -9,6 +9,7 @@ from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError from core.app.entities.app_invoke_entities import InvokeFrom from core.file.models import File from core.workflow.callbacks import WorkflowCallback +from core.workflow.constants import ENVIRONMENT_VARIABLE_NODE_ID from core.workflow.entities.variable_pool import VariablePool from core.workflow.errors import WorkflowNodeRunFailedError from core.workflow.graph_engine.entities.event import GraphEngineEvent, GraphRunFailedEvent, InNodeEvent @@ -364,4 +365,5 @@ class WorkflowEntry: input_value = file_factory.build_from_mappings(mappings=input_value, tenant_id=tenant_id) # append variable and value to variable pool - variable_pool.add([variable_node_id] + variable_key_list, input_value) + if variable_node_id != ENVIRONMENT_VARIABLE_NODE_ID: + variable_pool.add([variable_node_id] + variable_key_list, input_value) diff --git a/api/docker/entrypoint.sh b/api/docker/entrypoint.sh index 68f3c65a4b..18d4f4885d 100755 --- a/api/docker/entrypoint.sh +++ b/api/docker/entrypoint.sh @@ -20,7 +20,8 @@ if [[ "${MODE}" == "worker" ]]; then CONCURRENCY_OPTION="-c ${CELERY_WORKER_AMOUNT:-1}" fi - exec celery -A app.celery worker -P ${CELERY_WORKER_CLASS:-gevent} $CONCURRENCY_OPTION --loglevel ${LOG_LEVEL:-INFO} \ + exec celery -A app.celery worker -P ${CELERY_WORKER_CLASS:-gevent} $CONCURRENCY_OPTION \ + --max-tasks-per-child ${MAX_TASK_PRE_CHILD:-50} --loglevel ${LOG_LEVEL:-INFO} \ -Q ${CELERY_QUEUES:-dataset,mail,ops_trace,app_deletion} elif [[ "${MODE}" == "beat" ]]; then diff --git a/api/events/event_handlers/update_provider_last_used_at_when_message_created.py b/api/events/event_handlers/update_provider_last_used_at_when_message_created.py index f225ef8e88..59412cf87c 100644 --- a/api/events/event_handlers/update_provider_last_used_at_when_message_created.py +++ b/api/events/event_handlers/update_provider_last_used_at_when_message_created.py @@ -8,7 +8,6 @@ from models.provider import Provider @message_was_created.connect def handle(sender, **kwargs): - message = sender application_generate_entity = kwargs.get("application_generate_entity") if not isinstance(application_generate_entity, ChatAppGenerateEntity | AgentChatAppGenerateEntity): diff --git a/api/extensions/ext_commands.py b/api/extensions/ext_commands.py index be43f55ea7..ddc2158a02 100644 --- a/api/extensions/ext_commands.py +++ b/api/extensions/ext_commands.py @@ -5,6 +5,7 @@ def init_app(app: DifyApp): from commands import ( add_qdrant_index, clear_free_plan_tenant_expired_logs, + clear_orphaned_file_records, convert_to_agent_apps, create_tenant, extract_plugins, @@ -13,6 +14,7 @@ def init_app(app: DifyApp): install_plugins, migrate_data_for_plugin, old_metadata_migration, + remove_orphaned_files_on_storage, reset_email, reset_encrypt_key_pair, reset_password, @@ -36,6 +38,8 @@ def init_app(app: DifyApp): install_plugins, old_metadata_migration, clear_free_plan_tenant_expired_logs, + clear_orphaned_file_records, + remove_orphaned_files_on_storage, ] for cmd in cmds_to_register: app.cli.add_command(cmd) diff --git a/api/extensions/ext_logging.py b/api/extensions/ext_logging.py index bf9b492a50..aa55862b7c 100644 --- a/api/extensions/ext_logging.py +++ b/api/extensions/ext_logging.py @@ -26,9 +26,12 @@ def init_app(app: DifyApp): # Always add StreamHandler to log to console sh = logging.StreamHandler(sys.stdout) - sh.addFilter(RequestIdFilter()) log_handlers.append(sh) + # Apply RequestIdFilter to all handlers + for handler in log_handlers: + handler.addFilter(RequestIdFilter()) + logging.basicConfig( level=dify_config.LOG_LEVEL, format=dify_config.LOG_FORMAT, @@ -36,6 +39,8 @@ def init_app(app: DifyApp): handlers=log_handlers, force=True, ) + # Disable propagation for noisy loggers to avoid duplicate logs + logging.getLogger("sqlalchemy.engine").propagate = False log_tz = dify_config.LOG_TZ if log_tz: from datetime import datetime diff --git a/api/extensions/ext_otel.py b/api/extensions/ext_otel.py new file mode 100644 index 0000000000..be47fdc6d6 --- /dev/null +++ b/api/extensions/ext_otel.py @@ -0,0 +1,204 @@ +import atexit +import logging +import os +import platform +import socket +import sys +from typing import Union + +from celery.signals import worker_init # type: ignore +from flask_login import user_loaded_from_request, user_logged_in # type: ignore + +from configs import dify_config +from dify_app import DifyApp + + +@user_logged_in.connect +@user_loaded_from_request.connect +def on_user_loaded(_sender, user): + 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) + + +def init_app(app: DifyApp): + def is_celery_worker(): + return "celery" in sys.argv[0].lower() + + def instrument_exception_logging(): + exception_handler = ExceptionLoggingHandler() + logging.getLogger().addHandler(exception_handler) + + def init_flask_instrumentor(app: DifyApp): + meter = get_meter("http_metrics", version=dify_config.CURRENT_VERSION) + _http_response_counter = meter.create_counter( + "http.server.response.count", description="Total number of HTTP responses by status code", unit="{response}" + ) + + 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" + _http_response_counter.add(1, {"status_code": status_code, "status_class": status_class}) + + instrumentor = FlaskInstrumentor() + if dify_config.DEBUG: + logging.info("Initializing Flask instrumentor") + instrumentor.instrument_app(app, response_hook=response_hook) + + def init_sqlalchemy_instrumentor(app: DifyApp): + with app.app_context(): + engines = list(app.extensions["sqlalchemy"].engines.values()) + SQLAlchemyInstrumentor().instrument(enable_commenter=True, engines=engines) + + def setup_context_propagation(): + # Configure propagators + set_global_textmap( + CompositePropagator( + [ + TraceContextTextMapPropagator(), # W3C trace context + B3Format(), # B3 propagation (used by many systems) + ] + ) + ) + + def shutdown_tracer(): + provider = trace.get_tracer_provider() + if hasattr(provider, "force_flush"): + provider.force_flush() + + class ExceptionLoggingHandler(logging.Handler): + """Custom logging handler that creates spans for logging.exception() calls""" + + def emit(self, record): + try: + if record.exc_info: + tracer = get_tracer_provider().get_tracer("dify.exception.logging") + with tracer.start_as_current_span( + "log.exception", + attributes={ + "log.level": record.levelname, + "log.message": record.getMessage(), + "log.logger": record.name, + "log.file.path": record.pathname, + "log.file.line": record.lineno, + }, + ) 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])) + except Exception: + pass + + from opentelemetry import trace + from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter + from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter + from opentelemetry.instrumentation.celery import CeleryInstrumentor + from opentelemetry.instrumentation.flask import FlaskInstrumentor + from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor + from opentelemetry.metrics import get_meter, get_meter_provider, set_meter_provider + from opentelemetry.propagate import set_global_textmap + from opentelemetry.propagators.b3 import B3Format + from opentelemetry.propagators.composite import CompositePropagator + from opentelemetry.sdk.metrics import MeterProvider + from opentelemetry.sdk.metrics.export import ConsoleMetricExporter, PeriodicExportingMetricReader + from opentelemetry.sdk.resources import Resource + from opentelemetry.sdk.trace import TracerProvider + from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, + ) + from opentelemetry.sdk.trace.sampling import ParentBasedTraceIdRatio + from opentelemetry.semconv.resource import ResourceAttributes + from opentelemetry.trace import Span, get_tracer_provider, set_tracer_provider + from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator + from opentelemetry.trace.status import StatusCode + + setup_context_propagation() + # Initialize OpenTelemetry + # Follow Semantic Convertions 1.32.0 to define resource attributes + resource = Resource( + attributes={ + ResourceAttributes.SERVICE_NAME: dify_config.APPLICATION_NAME, + ResourceAttributes.SERVICE_VERSION: f"dify-{dify_config.CURRENT_VERSION}-{dify_config.COMMIT_SHA}", + ResourceAttributes.PROCESS_PID: os.getpid(), + ResourceAttributes.DEPLOYMENT_ENVIRONMENT: f"{dify_config.DEPLOY_ENV}-{dify_config.EDITION}", + ResourceAttributes.HOST_NAME: socket.gethostname(), + ResourceAttributes.HOST_ARCH: platform.machine(), + "custom.deployment.git_commit": dify_config.COMMIT_SHA, + ResourceAttributes.HOST_ID: platform.node(), + ResourceAttributes.OS_TYPE: platform.system().lower(), + ResourceAttributes.OS_DESCRIPTION: platform.platform(), + ResourceAttributes.OS_VERSION: platform.version(), + } + ) + sampler = ParentBasedTraceIdRatio(dify_config.OTEL_SAMPLING_RATE) + provider = TracerProvider(resource=resource, sampler=sampler) + set_tracer_provider(provider) + exporter: Union[OTLPSpanExporter, ConsoleSpanExporter] + metric_exporter: Union[OTLPMetricExporter, ConsoleMetricExporter] + if dify_config.OTEL_EXPORTER_TYPE == "otlp": + exporter = OTLPSpanExporter( + endpoint=dify_config.OTLP_BASE_ENDPOINT + "/v1/traces", + headers={"Authorization": f"Bearer {dify_config.OTLP_API_KEY}"}, + ) + metric_exporter = OTLPMetricExporter( + endpoint=dify_config.OTLP_BASE_ENDPOINT + "/v1/metrics", + headers={"Authorization": f"Bearer {dify_config.OTLP_API_KEY}"}, + ) + else: + # Fallback to console exporter + exporter = ConsoleSpanExporter() + metric_exporter = ConsoleMetricExporter() + + provider.add_span_processor( + BatchSpanProcessor( + exporter, + max_queue_size=dify_config.OTEL_MAX_QUEUE_SIZE, + schedule_delay_millis=dify_config.OTEL_BATCH_EXPORT_SCHEDULE_DELAY, + max_export_batch_size=dify_config.OTEL_MAX_EXPORT_BATCH_SIZE, + export_timeout_millis=dify_config.OTEL_BATCH_EXPORT_TIMEOUT, + ) + ) + reader = PeriodicExportingMetricReader( + metric_exporter, + export_interval_millis=dify_config.OTEL_METRIC_EXPORT_INTERVAL, + export_timeout_millis=dify_config.OTEL_METRIC_EXPORT_TIMEOUT, + ) + set_meter_provider(MeterProvider(resource=resource, metric_readers=[reader])) + if not is_celery_worker(): + init_flask_instrumentor(app) + CeleryInstrumentor(tracer_provider=get_tracer_provider(), meter_provider=get_meter_provider()).instrument() + instrument_exception_logging() + init_sqlalchemy_instrumentor(app) + atexit.register(shutdown_tracer) + + +def is_enabled(): + return dify_config.ENABLE_OTEL + + +@worker_init.connect(weak=False) +def init_celery_worker(*args, **kwargs): + if dify_config.ENABLE_OTEL: + from opentelemetry.instrumentation.celery import CeleryInstrumentor + from opentelemetry.metrics import get_meter_provider + from opentelemetry.trace import get_tracer_provider + + tracer_provider = get_tracer_provider() + metric_provider = get_meter_provider() + if dify_config.DEBUG: + logging.info("Initializing OpenTelemetry for Celery worker") + CeleryInstrumentor(tracer_provider=tracer_provider, meter_provider=metric_provider).instrument() diff --git a/api/extensions/ext_repositories.py b/api/extensions/ext_repositories.py new file mode 100644 index 0000000000..b8cfea121b --- /dev/null +++ b/api/extensions/ext_repositories.py @@ -0,0 +1,18 @@ +""" +Extension for initializing repositories. + +This extension registers repository implementations with the RepositoryFactory. +""" + +from core.repositories.repository_registry import register_repositories +from dify_app import DifyApp + + +def init_app(_app: DifyApp) -> None: + """ + Initialize repository implementations. + + Args: + _app: The Flask application instance (unused) + """ + register_repositories() diff --git a/api/extensions/ext_storage.py b/api/extensions/ext_storage.py index 588bdb2d27..bd35278544 100644 --- a/api/extensions/ext_storage.py +++ b/api/extensions/ext_storage.py @@ -73,11 +73,7 @@ class Storage: raise ValueError(f"unsupported storage type {storage_type}") def save(self, filename, data): - try: - self.storage_runner.save(filename, data) - except Exception as e: - logger.exception(f"Failed to save file {filename}") - raise e + self.storage_runner.save(filename, data) @overload def load(self, filename: str, /, *, stream: Literal[False] = False) -> bytes: ... @@ -86,49 +82,28 @@ class Storage: def load(self, filename: str, /, *, stream: Literal[True]) -> Generator: ... def load(self, filename: str, /, *, stream: bool = False) -> Union[bytes, Generator]: - try: - if stream: - return self.load_stream(filename) - else: - return self.load_once(filename) - except Exception as e: - logger.exception(f"Failed to load file {filename}") - raise e + if stream: + return self.load_stream(filename) + else: + return self.load_once(filename) def load_once(self, filename: str) -> bytes: - try: - return self.storage_runner.load_once(filename) - except Exception as e: - logger.exception(f"Failed to load_once file {filename}") - raise e + return self.storage_runner.load_once(filename) def load_stream(self, filename: str) -> Generator: - try: - return self.storage_runner.load_stream(filename) - except Exception as e: - logger.exception(f"Failed to load_stream file {filename}") - raise e + return self.storage_runner.load_stream(filename) def download(self, filename, target_filepath): - try: - self.storage_runner.download(filename, target_filepath) - except Exception as e: - logger.exception(f"Failed to download file {filename}") - raise e + self.storage_runner.download(filename, target_filepath) def exists(self, filename): - try: - return self.storage_runner.exists(filename) - except Exception as e: - logger.exception(f"Failed to check file exists {filename}") - raise e + return self.storage_runner.exists(filename) def delete(self, filename): - try: - return self.storage_runner.delete(filename) - except Exception as e: - logger.exception(f"Failed to delete file {filename}") - raise e + return self.storage_runner.delete(filename) + + def scan(self, path: str, files: bool = True, directories: bool = False) -> list[str]: + return self.storage_runner.scan(path, files=files, directories=directories) storage = Storage() diff --git a/api/extensions/storage/base_storage.py b/api/extensions/storage/base_storage.py index 0dedd7ff8c..0393206e54 100644 --- a/api/extensions/storage/base_storage.py +++ b/api/extensions/storage/base_storage.py @@ -30,3 +30,11 @@ class BaseStorage(ABC): @abstractmethod def delete(self, filename): raise NotImplementedError + + def scan(self, path, files=True, directories=False) -> list[str]: + """ + Scan files and directories in the given path. + This method is implemented only in some storage backends. + If a storage backend doesn't support scanning, it will raise NotImplementedError. + """ + raise NotImplementedError("This storage backend doesn't support scanning") diff --git a/api/extensions/storage/opendal_storage.py b/api/extensions/storage/opendal_storage.py index ee8cfa9179..12e2738e9d 100644 --- a/api/extensions/storage/opendal_storage.py +++ b/api/extensions/storage/opendal_storage.py @@ -80,3 +80,20 @@ class OpenDALStorage(BaseStorage): logger.debug(f"file {filename} deleted") return logger.debug(f"file {filename} not found, skip delete") + + def scan(self, path: str, files: bool = True, directories: bool = False) -> list[str]: + if not self.exists(path): + raise FileNotFoundError("Path not found") + + all_files = self.op.scan(path=path) + if files and directories: + logger.debug(f"files and directories on {path} scanned") + return [f.path for f in all_files] + if files: + logger.debug(f"files on {path} scanned") + return [f.path for f in all_files if not f.path.endswith("/")] + elif directories: + logger.debug(f"directories on {path} scanned") + return [f.path for f in all_files if f.path.endswith("/")] + else: + raise ValueError("At least one of files or directories must be True") diff --git a/api/factories/agent_factory.py b/api/factories/agent_factory.py index 4b2d2cc769..4b12afb528 100644 --- a/api/factories/agent_factory.py +++ b/api/factories/agent_factory.py @@ -1,12 +1,12 @@ from core.agent.strategy.plugin import PluginAgentStrategy -from core.plugin.manager.agent import PluginAgentManager +from core.plugin.impl.agent import PluginAgentClient def get_plugin_agent_strategy( tenant_id: str, agent_strategy_provider_name: str, agent_strategy_name: str ) -> PluginAgentStrategy: # TODO: use contexts to cache the agent provider - manager = PluginAgentManager() + manager = PluginAgentClient() agent_provider = manager.fetch_agent_strategy_provider(tenant_id, agent_strategy_provider_name) for agent_strategy in agent_provider.declaration.strategies: if agent_strategy.identity.name == agent_strategy_name: diff --git a/api/factories/file_factory.py b/api/factories/file_factory.py index b69621ba5b..52f119936f 100644 --- a/api/factories/file_factory.py +++ b/api/factories/file_factory.py @@ -52,6 +52,7 @@ def build_from_mapping( mapping: Mapping[str, Any], tenant_id: str, config: FileUploadConfig | None = None, + strict_type_validation: bool = False, ) -> File: transfer_method = FileTransferMethod.value_of(mapping.get("transfer_method")) @@ -69,6 +70,7 @@ def build_from_mapping( mapping=mapping, tenant_id=tenant_id, transfer_method=transfer_method, + strict_type_validation=strict_type_validation, ) if config and not _is_file_valid_with_config( @@ -87,12 +89,14 @@ def build_from_mappings( mappings: Sequence[Mapping[str, Any]], config: FileUploadConfig | None = None, tenant_id: str, + strict_type_validation: bool = False, ) -> Sequence[File]: files = [ build_from_mapping( mapping=mapping, tenant_id=tenant_id, config=config, + strict_type_validation=strict_type_validation, ) for mapping in mappings ] @@ -116,6 +120,7 @@ def _build_from_local_file( mapping: Mapping[str, Any], tenant_id: str, transfer_method: FileTransferMethod, + strict_type_validation: bool = False, ) -> File: upload_file_id = mapping.get("upload_file_id") if not upload_file_id: @@ -134,10 +139,16 @@ def _build_from_local_file( if row is None: raise ValueError("Invalid upload file") - file_type = _standardize_file_type(extension="." + row.extension, mime_type=row.mime_type) - if file_type.value != mapping.get("type", "custom"): + detected_file_type = _standardize_file_type(extension="." + row.extension, mime_type=row.mime_type) + specified_type = mapping.get("type", "custom") + + if strict_type_validation and detected_file_type.value != specified_type: raise ValueError("Detected file type does not match the specified type. Please verify the file.") + file_type = ( + FileType(specified_type) if specified_type and specified_type != FileType.CUSTOM.value else detected_file_type + ) + return File( id=mapping.get("id"), filename=row.name, @@ -158,6 +169,7 @@ def _build_from_remote_url( mapping: Mapping[str, Any], tenant_id: str, transfer_method: FileTransferMethod, + strict_type_validation: bool = False, ) -> File: upload_file_id = mapping.get("upload_file_id") if upload_file_id: @@ -174,10 +186,21 @@ def _build_from_remote_url( if upload_file is None: raise ValueError("Invalid upload file") - file_type = _standardize_file_type(extension="." + upload_file.extension, mime_type=upload_file.mime_type) - if file_type.value != mapping.get("type", "custom"): + detected_file_type = _standardize_file_type( + extension="." + upload_file.extension, mime_type=upload_file.mime_type + ) + + specified_type = mapping.get("type") + + if strict_type_validation and specified_type and detected_file_type.value != specified_type: raise ValueError("Detected file type does not match the specified type. Please verify the file.") + file_type = ( + FileType(specified_type) + if specified_type and specified_type != FileType.CUSTOM.value + else detected_file_type + ) + return File( id=mapping.get("id"), filename=upload_file.name, @@ -237,6 +260,7 @@ def _build_from_tool_file( mapping: Mapping[str, Any], tenant_id: str, transfer_method: FileTransferMethod, + strict_type_validation: bool = False, ) -> File: tool_file = ( db.session.query(ToolFile) @@ -252,7 +276,16 @@ def _build_from_tool_file( extension = "." + tool_file.file_key.split(".")[-1] if "." in tool_file.file_key else ".bin" - file_type = _standardize_file_type(extension=extension, mime_type=tool_file.mimetype) + detected_file_type = _standardize_file_type(extension="." + extension, mime_type=tool_file.mimetype) + + specified_type = mapping.get("type") + + if strict_type_validation and specified_type and detected_file_type.value != specified_type: + raise ValueError("Detected file type does not match the specified type. Please verify the file.") + + file_type = ( + FileType(specified_type) if specified_type and specified_type != FileType.CUSTOM.value else detected_file_type + ) return File( id=mapping.get("id"), diff --git a/api/fields/conversation_fields.py b/api/fields/conversation_fields.py index 80d1f0baf5..78e0794833 100644 --- a/api/fields/conversation_fields.py +++ b/api/fields/conversation_fields.py @@ -42,6 +42,7 @@ message_file_fields = { "size": fields.Integer, "transfer_method": fields.String, "belongs_to": fields.String(default="user"), + "upload_file_id": fields.String(default=None), } agent_thought_fields = { diff --git a/api/fields/conversation_variable_fields.py b/api/fields/conversation_variable_fields.py index c6385efb5a..3aa3838def 100644 --- a/api/fields/conversation_variable_fields.py +++ b/api/fields/conversation_variable_fields.py @@ -19,3 +19,9 @@ paginated_conversation_variable_fields = { "has_more": fields.Boolean, "data": fields.List(fields.Nested(conversation_variable_fields), attribute="data"), } + +conversation_variable_infinite_scroll_pagination_fields = { + "limit": fields.Integer, + "has_more": fields.Boolean, + "data": fields.List(fields.Nested(conversation_variable_fields)), +} diff --git a/api/fields/file_fields.py b/api/fields/file_fields.py index f896c15f0f..dfc1b623d5 100644 --- a/api/fields/file_fields.py +++ b/api/fields/file_fields.py @@ -19,6 +19,7 @@ file_fields = { "mime_type": fields.String, "created_by": fields.String, "created_at": TimestampField, + "preview_url": fields.String, } remote_file_info_fields = { diff --git a/api/migrations/versions/2024_10_10_0516-bbadea11becb_add_name_and_size_to_tool_files.py b/api/migrations/versions/2024_10_10_0516-bbadea11becb_add_name_and_size_to_tool_files.py index c17d1db77a..5b5656e7ed 100644 --- a/api/migrations/versions/2024_10_10_0516-bbadea11becb_add_name_and_size_to_tool_files.py +++ b/api/migrations/versions/2024_10_10_0516-bbadea11becb_add_name_and_size_to_tool_files.py @@ -21,14 +21,14 @@ def upgrade(): # ### commands auto generated by Alembic - please adjust! ### # Get the database connection conn = op.get_bind() - + # Use SQLAlchemy inspector to get the columns of the 'tool_files' table inspector = sa.inspect(conn) columns = [col['name'] for col in inspector.get_columns('tool_files')] # If 'name' or 'size' columns already exist, exit the upgrade function if 'name' in columns or 'size' in columns: - return + return with op.batch_alter_table('tool_files', schema=None) as batch_op: batch_op.add_column(sa.Column('name', sa.String(), nullable=True)) diff --git a/api/migrations/versions/2024_12_20_0628-e1944c35e15e_add_retry_index_field_to_node_execution_.py b/api/migrations/versions/2024_12_20_0628-e1944c35e15e_add_retry_index_field_to_node_execution_.py index 0facd0ecc0..ae9f2de9b1 100644 --- a/api/migrations/versions/2024_12_20_0628-e1944c35e15e_add_retry_index_field_to_node_execution_.py +++ b/api/migrations/versions/2024_12_20_0628-e1944c35e15e_add_retry_index_field_to_node_execution_.py @@ -35,4 +35,4 @@ def downgrade(): # batch_op.drop_column('retry_index') pass - # ### end Alembic commands ### \ No newline at end of file + # ### end Alembic commands ### diff --git a/api/migrations/versions/2024_12_23_1154-d7999dfa4aae_remove_workflow_node_executions_retry_.py b/api/migrations/versions/2024_12_23_1154-d7999dfa4aae_remove_workflow_node_executions_retry_.py index ea129d15f7..07454b0917 100644 --- a/api/migrations/versions/2024_12_23_1154-d7999dfa4aae_remove_workflow_node_executions_retry_.py +++ b/api/migrations/versions/2024_12_23_1154-d7999dfa4aae_remove_workflow_node_executions_retry_.py @@ -23,7 +23,7 @@ def upgrade(): conn = op.get_bind() inspector = inspect(conn) has_column = 'retry_index' in [col['name'] for col in inspector.get_columns('workflow_node_executions')] - + if has_column: with op.batch_alter_table('workflow_node_executions', schema=None) as batch_op: batch_op.drop_column('retry_index') diff --git a/api/migrations/versions/64b051264f32_init.py b/api/migrations/versions/64b051264f32_init.py index 8c45ae898d..b0fb3deac6 100644 --- a/api/migrations/versions/64b051264f32_init.py +++ b/api/migrations/versions/64b051264f32_init.py @@ -1,7 +1,7 @@ """init Revision ID: 64b051264f32 -Revises: +Revises: Create Date: 2023-05-13 14:26:59.085018 """ diff --git a/api/migrations/versions/de95f5c77138_migration_serpapi_api_key.py b/api/migrations/versions/de95f5c77138_migration_serpapi_api_key.py index fcca705d21..c18126286c 100644 --- a/api/migrations/versions/de95f5c77138_migration_serpapi_api_key.py +++ b/api/migrations/versions/de95f5c77138_migration_serpapi_api_key.py @@ -99,12 +99,12 @@ def upgrade(): id=id, tenant_id=tenant_id, user_id=user_id, - provider='google', + provider='google', encrypted_credentials=encrypted_credentials, created_at=created_at, updated_at=updated_at ) - + # ### end Alembic commands ### diff --git a/api/models/model.py b/api/models/model.py index 8262109ba5..901e92284a 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -3,8 +3,8 @@ import re import uuid from collections.abc import Mapping from datetime import datetime -from enum import Enum -from typing import TYPE_CHECKING, Optional +from enum import Enum, StrEnum +from typing import TYPE_CHECKING, Any, Literal, Optional, cast from core.plugin.entities.plugin import GenericProviderID from core.tools.entities.tool_entities import ToolProviderType @@ -13,9 +13,6 @@ from services.plugin.plugin_service import PluginService if TYPE_CHECKING: from models.workflow import Workflow -from enum import StrEnum -from typing import TYPE_CHECKING, Any, Literal, cast - import sqlalchemy as sa from flask import request from flask_login import UserMixin # type: ignore @@ -23,6 +20,7 @@ from sqlalchemy import Float, Index, PrimaryKeyConstraint, func, text from sqlalchemy.orm import Mapped, Session, mapped_column from configs import dify_config +from constants import DEFAULT_FILE_NUMBER_LIMITS from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod, FileType from core.file import helpers as file_helpers from core.file.tool_file_parser import ToolFileParser @@ -442,7 +440,7 @@ class AppModelConfig(Base): else { "image": { "enabled": False, - "number_limits": 3, + "number_limits": DEFAULT_FILE_NUMBER_LIMITS, "detail": "high", "transfer_methods": ["remote_url", "local_file"], } @@ -1014,7 +1012,9 @@ class Message(db.Model): # type: ignore[name-defined] sign_url = file_helpers.get_signed_file_url(upload_file_id) else: continue - + # if as_attachment is in the url, add it to the sign_url. + if "as_attachment" in url: + sign_url += "&as_attachment=true" re_sign_file_url_answer = re_sign_file_url_answer.replace(url, sign_url) return re_sign_file_url_answer @@ -1090,12 +1090,7 @@ class Message(db.Model): # type: ignore[name-defined] @property def retriever_resources(self): - return ( - db.session.query(DatasetRetrieverResource) - .filter(DatasetRetrieverResource.message_id == self.id) - .order_by(DatasetRetrieverResource.position.asc()) - .all() - ) + return self.message_metadata_dict.get("retriever_resources") if self.message_metadata else [] @property def message_files(self): @@ -1154,7 +1149,7 @@ class Message(db.Model): # type: ignore[name-defined] files.append(file) result = [ - {"belongs_to": message_file.belongs_to, **file.to_dict()} + {"belongs_to": message_file.belongs_to, "upload_file_id": message_file.upload_file_id, **file.to_dict()} for (file, message_file) in zip(files, message_files) ] diff --git a/api/models/workflow.py b/api/models/workflow.py index dbcb859823..da60617de5 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -1,21 +1,19 @@ import json from collections.abc import Mapping, Sequence from datetime import UTC, datetime -from enum import Enum +from enum import Enum, StrEnum from typing import TYPE_CHECKING, Any, Optional, Self, Union from uuid import uuid4 if TYPE_CHECKING: from models.model import AppMode -from enum import StrEnum -from typing import TYPE_CHECKING import sqlalchemy as sa from sqlalchemy import Index, PrimaryKeyConstraint, func from sqlalchemy.orm import Mapped, mapped_column import contexts -from constants import HIDDEN_VALUE +from constants import DEFAULT_FILE_NUMBER_LIMITS, HIDDEN_VALUE from core.helper import encrypter from core.variables import SecretVariable, Variable from factories import variable_factory @@ -186,7 +184,7 @@ class Workflow(Base): features = json.loads(self._features) if features.get("file_upload", {}).get("image", {}).get("enabled", False): image_enabled = True - image_number_limits = int(features["file_upload"]["image"].get("number_limits", 1)) + image_number_limits = int(features["file_upload"]["image"].get("number_limits", DEFAULT_FILE_NUMBER_LIMITS)) image_transfer_methods = features["file_upload"]["image"].get( "transfer_methods", ["remote_url", "local_file"] ) @@ -245,6 +243,13 @@ class Workflow(Base): @property def tool_published(self) -> bool: + """ + DEPRECATED: This property is not accurate for determining if a workflow is published as a tool. + It only checks if there's a WorkflowToolProvider for the app, not if this specific workflow version + is the one being used by the tool. + + For accurate checking, use a direct query with tenant_id, app_id, and version. + """ from models.tools import WorkflowToolProvider return ( @@ -510,7 +515,7 @@ class WorkflowRun(Base): ) -class WorkflowNodeExecutionTriggeredFrom(Enum): +class WorkflowNodeExecutionTriggeredFrom(StrEnum): """ Workflow Node Execution Triggered From Enum """ @@ -518,21 +523,8 @@ class WorkflowNodeExecutionTriggeredFrom(Enum): SINGLE_STEP = "single-step" WORKFLOW_RUN = "workflow-run" - @classmethod - def value_of(cls, value: str) -> "WorkflowNodeExecutionTriggeredFrom": - """ - 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 workflow node execution triggered from value {value}") - -class WorkflowNodeExecutionStatus(Enum): +class WorkflowNodeExecutionStatus(StrEnum): """ Workflow Node Execution Status Enum """ @@ -543,19 +535,6 @@ class WorkflowNodeExecutionStatus(Enum): EXCEPTION = "exception" RETRY = "retry" - @classmethod - def value_of(cls, value: str) -> "WorkflowNodeExecutionStatus": - """ - 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 workflow node execution status value {value}") - class WorkflowNodeExecution(Base): """ @@ -656,6 +635,7 @@ class WorkflowNodeExecution(Base): @property def created_by_account(self): created_by_role = CreatedByRole(self.created_by_role) + # TODO(-LAN-): Avoid using db.session.get() here. return db.session.get(Account, self.created_by) if created_by_role == CreatedByRole.ACCOUNT else None @property @@ -663,6 +643,7 @@ class WorkflowNodeExecution(Base): from models.model import EndUser created_by_role = CreatedByRole(self.created_by_role) + # TODO(-LAN-): Avoid using db.session.get() here. return db.session.get(EndUser, self.created_by) if created_by_role == CreatedByRole.END_USER else None @property diff --git a/api/poetry.lock b/api/poetry.lock deleted file mode 100644 index 5e24c198ed..0000000000 --- a/api/poetry.lock +++ /dev/null @@ -1,10383 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. - 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-[tool.poetry.dependencies] -authlib = "1.3.1" -azure-identity = "1.16.1" -beautifulsoup4 = "4.12.2" -boto3 = "1.35.99" -bs4 = "~0.0.1" -cachetools = "~5.3.0" -celery = "~5.4.0" -chardet = "~5.1.0" -flask = "~3.1.0" -flask-compress = "~1.17" -flask-cors = "~4.0.0" -flask-login = "~0.6.3" -flask-migrate = "~4.0.7" -flask-restful = "~0.3.10" -flask-sqlalchemy = "~3.1.1" -gevent = "~24.11.1" -gmpy2 = "~2.2.1" -google-api-core = "2.18.0" -google-api-python-client = "2.90.0" -google-auth = "2.29.0" -google-auth-httplib2 = "0.2.0" -google-cloud-aiplatform = "1.49.0" -googleapis-common-protos = "1.63.0" -gunicorn = "~23.0.0" -httpx = { version = "~0.27.0", extras = ["socks"] } -jieba = "0.42.1" -langfuse = "~2.51.3" -langsmith = "~0.1.77" -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" -pandas = { version = "~2.2.2", extras = ["performance", "excel", "output-formatting"] } -pandas-stubs = "~2.2.3.241009" -pandoc = "~2.4" -psycogreen = "~1.0.2" -psycopg2-binary = "~2.9.6" -pycryptodome = "3.19.1" -pydantic = "~2.9.2" -pydantic-settings = "~2.6.0" -pydantic_extra_types = "~2.9.0" -pyjwt = "~2.8.0" -pypdfium2 = "~4.30.0" -python = ">=3.11,<3.13" -python-docx = "~1.1.0" -python-dotenv = "1.0.1" -pyyaml = "~6.0.1" -readabilipy = "0.2.0" -redis = { version = "~5.0.3", extras = ["hiredis"] } -resend = "~0.7.0" -sentry-sdk = { version = "~1.44.1", extras = ["flask"] } -sqlalchemy = "~2.0.29" -starlette = "0.41.0" -tiktoken = "~0.8.0" -tokenizers = "~0.15.0" -transformers = "~4.35.0" -unstructured = { version = "~0.16.1", extras = ["docx", "epub", "md", "ppt", "pptx"] } -validators = "0.21.0" -yarl = "~1.18.3" -# Before adding new dependency, consider place it in alphabet order (a-z) and suitable group. +[tool.uv] +default-groups = ["storage", "tools", "vdb"] +package = false -############################################################ -# [ Indirect ] dependency group -# Related transparent dependencies with pinned version -# required by main implementations -############################################################ -[tool.poetry.group.indirect.dependencies] -kaleido = "0.2.1" -rank-bm25 = "~0.2.2" -safetensors = "~0.4.3" +[dependency-groups] ############################################################ -# [ Tools ] dependency group +# [ Dev ] dependency group +# Required for development and running tests ############################################################ -[tool.poetry.group.tools.dependencies] -cloudscraper = "1.2.71" -nltk = "3.9.1" +dev = [ + "coverage~=7.2.4", + "dotenv-linter~=0.5.0", + "faker~=32.1.0", + "lxml-stubs~=0.5.1", + "mypy~=1.15.0", + "ruff~=0.11.5", + "pytest~=8.3.2", + "pytest-benchmark~=4.0.0", + "pytest-cov~=4.1.0", + "pytest-env~=1.1.3", + "pytest-mock~=3.14.0", + "types-aiofiles~=24.1.0", + "types-beautifulsoup4~=4.12.0", + "types-cachetools~=5.5.0", + "types-colorama~=0.4.15", + "types-defusedxml~=0.7.0", + "types-deprecated~=1.2.15", + "types-docutils~=0.21.0", + "types-flask-cors~=5.0.0", + "types-flask-migrate~=4.1.0", + "types-gevent~=24.11.0", + "types-greenlet~=3.1.0", + "types-html5lib~=1.1.11", + "types-markdown~=3.7.0", + "types-oauthlib~=3.2.0", + "types-objgraph~=3.6.0", + "types-olefile~=0.47.0", + "types-openpyxl~=3.1.5", + "types-pexpect~=4.9.0", + "types-protobuf~=5.29.1", + "types-psutil~=7.0.0", + "types-psycopg2~=2.9.21", + "types-pygments~=2.19.0", + "types-pymysql~=1.1.0", + "types-python-dateutil~=2.9.0", + "types-pywin32~=310.0.0", + "types-pyyaml~=6.0.12", + "types-regex~=2024.11.6", + "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", +] ############################################################ # [ Storage ] dependency group # Required for storage clients ############################################################ -[tool.poetry.group.storage.dependencies] -azure-storage-blob = "12.13.0" -bce-python-sdk = "~0.9.23" -cos-python-sdk-v5 = "1.9.30" -esdk-obs-python = "3.24.6.1" -google-cloud-storage = "2.16.0" -opendal = "~0.45.16" -oss2 = "2.18.5" -supabase = "~2.8.1" -tos = "~2.7.1" - -############################################################ -# [ VDB ] dependency group -# Required by vector store clients -############################################################ -[tool.poetry.group.vdb.dependencies] -alibabacloud_gpdb20160503 = "~3.8.0" -alibabacloud_tea_openapi = "~0.3.9" -chromadb = "0.5.20" -clickhouse-connect = "~0.7.16" -couchbase = "~4.3.0" -elasticsearch = "8.14.0" -opensearch-py = "2.4.0" -oracledb = "~2.2.1" -pgvecto-rs = { version = "~0.2.1", extras = ['sqlalchemy'] } -pgvector = "0.2.5" -pymilvus = "~2.5.0" -pymochow = "1.3.1" -pyobvector = "~0.1.6" -qdrant-client = "1.7.3" -tablestore = "6.1.0" -tcvectordb = "~1.6.4" -tidb-vector = "0.0.9" -upstash-vector = "0.6.0" -volcengine-compat = "~1.0.156" -weaviate-client = "~3.21.0" -xinference-client = "~1.2.2" +storage = [ + "azure-storage-blob==12.13.0", + "bce-python-sdk~=0.9.23", + "cos-python-sdk-v5==1.9.30", + "esdk-obs-python==3.24.6.1", + "google-cloud-storage==2.16.0", + "opendal~=0.45.16", + "oss2==2.18.5", + "supabase~=2.8.1", + "tos~=2.7.1", +] ############################################################ -# [ Dev ] dependency group -# Required for development and running tests +# [ Tools ] dependency group ############################################################ -[tool.poetry.group.dev] -optional = true -[tool.poetry.group.dev.dependencies] -coverage = "~7.2.4" -faker = "~32.1.0" -lxml-stubs = "~0.5.1" -mypy = "~1.15.0" -pytest = "~8.3.2" -pytest-benchmark = "~4.0.0" -pytest-env = "~1.1.3" -pytest-mock = "~3.14.0" -types-aiofiles = "~24.1.0" -types-beautifulsoup4 = "~4.12.0" -types-cachetools = "~5.5.0" -types-colorama = "~0.4.15" -types-defusedxml = "~0.7.0" -types-deprecated = "~1.2.15" -types-docutils = "~0.21.0" -types-flask-cors = "~5.0.0" -types-flask-migrate = "~4.1.0" -types-gevent = "~24.11.0" -types-greenlet = "~3.1.0" -types-html5lib = "~1.1.11" -types-markdown = "~3.7.0" -types-oauthlib = "~3.2.0" -types-objgraph = "~3.6.0" -types-olefile = "~0.47.0" -types-openpyxl = "~3.1.5" -types-pexpect = "~4.9.0" -types-protobuf = "~5.29.1" -types-psutil = "~7.0.0" -types-psycopg2 = "~2.9.21" -types-pygments = "~2.19.0" -types-pymysql = "~1.1.0" -types-python-dateutil = "~2.9.0" -types-pywin32 = "~310.0.0" -types-pyyaml = "~6.0.12" -types-regex = "~2024.11.6" -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" +tools = ["cloudscraper~=1.2.71", "nltk~=3.9.1"] ############################################################ -# [ Lint ] dependency group -# Required for code style linting +# [ VDB ] dependency group +# Required by vector store clients ############################################################ -[tool.poetry.group.lint] -optional = true -[tool.poetry.group.lint.dependencies] -dotenv-linter = "~0.5.0" -ruff = "~0.11.0" +vdb = [ + "alibabacloud_gpdb20160503~=3.8.0", + "alibabacloud_tea_openapi~=0.3.9", + "chromadb==0.5.20", + "clickhouse-connect~=0.7.16", + "couchbase~=4.3.0", + "elasticsearch==8.14.0", + "opensearch-py==2.4.0", + "oracledb==3.0.0", + "pgvecto-rs[sqlalchemy]~=0.2.1", + "pgvector==0.2.5", + "pymilvus~=2.5.0", + "pymochow==1.3.1", + "pyobvector~=0.1.6", + "qdrant-client==1.7.3", + "tablestore==6.1.0", + "tcvectordb~=1.6.4", + "tidb-vector==0.0.9", + "upstash-vector==0.6.0", + "volcengine-compat~=1.0.156", + "weaviate-client~=3.24.0", + "xinference-client~=1.2.2", +] diff --git a/api/pytest.ini b/api/pytest.ini index 3de1649798..618e921825 100644 --- a/api/pytest.ini +++ b/api/pytest.ini @@ -1,5 +1,6 @@ [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 AZURE_OPENAI_API_BASE = https://difyai-openai.openai.azure.com diff --git a/api/services/account_service.py b/api/services/account_service.py index 8329ef3645..f930ef910b 100644 --- a/api/services/account_service.py +++ b/api/services/account_service.py @@ -407,10 +407,8 @@ class AccountService: raise PasswordResetRateLimitExceededError() - code = "".join([str(random.randint(0, 9)) for _ in range(6)]) - token = TokenManager.generate_token( - account=account, email=email, token_type="reset_password", additional_data={"code": code} - ) + code, token = cls.generate_reset_password_token(account_email, account) + send_reset_password_mail_task.delay( language=language, to=account_email, @@ -419,6 +417,22 @@ class AccountService: cls.reset_password_rate_limiter.increment_rate_limit(account_email) return token + @classmethod + def generate_reset_password_token( + cls, + email: str, + account: Optional[Account] = None, + code: Optional[str] = None, + additional_data: dict[str, Any] = {}, + ): + if not code: + code = "".join([str(random.randint(0, 9)) for _ in range(6)]) + additional_data["code"] = code + token = TokenManager.generate_token( + account=account, email=email, token_type="reset_password", additional_data=additional_data + ) + return code, token + @classmethod def revoke_reset_password_token(cls, token: str): TokenManager.revoke_token(token, "reset_password") @@ -571,10 +585,6 @@ class AccountService: return False -def _get_login_cache_key(*, account_id: str, token: str): - return f"account_login:{account_id}:{token}" - - class TenantService: @staticmethod def create_tenant(name: str, is_setup: Optional[bool] = False, is_from_dashboard: Optional[bool] = False) -> Tenant: diff --git a/api/services/agent_service.py b/api/services/agent_service.py index 0ff144052f..4c63611bb3 100644 --- a/api/services/agent_service.py +++ b/api/services/agent_service.py @@ -6,8 +6,8 @@ from flask_login import current_user # type: ignore import contexts from core.app.app_config.easy_ui_based_app.agent.manager import AgentConfigManager -from core.plugin.manager.agent import PluginAgentManager -from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.impl.agent import PluginAgentClient +from core.plugin.impl.exc import PluginDaemonClientSideError from core.tools.tool_manager import ToolManager from extensions.ext_database import db from models.account import Account @@ -161,7 +161,7 @@ class AgentService: """ List agent providers """ - manager = PluginAgentManager() + manager = PluginAgentClient() return manager.fetch_agent_strategy_providers(tenant_id) @classmethod @@ -169,7 +169,7 @@ class AgentService: """ Get agent provider """ - manager = PluginAgentManager() + manager = PluginAgentClient() try: return manager.fetch_agent_strategy_provider(tenant_id, provider_name) except PluginDaemonClientSideError as e: diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py index 2e2b729021..a2775fe6ad 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -40,7 +40,7 @@ IMPORT_INFO_REDIS_KEY_PREFIX = "app_import_info:" CHECK_DEPENDENCIES_REDIS_KEY_PREFIX = "app_check_dependencies:" IMPORT_INFO_REDIS_EXPIRY = 10 * 60 # 10 minutes DSL_MAX_SIZE = 10 * 1024 * 1024 # 10MB -CURRENT_DSL_VERSION = "0.1.5" +CURRENT_DSL_VERSION = "0.2.0" class ImportMode(StrEnum): @@ -77,13 +77,19 @@ def _check_version_compatibility(imported_version: str) -> ImportStatus: except version.InvalidVersion: return ImportStatus.FAILED - # Compare major version and minor version - if current_ver.major != imported_ver.major or current_ver.minor != imported_ver.minor: + # If imported version is newer than current, always return PENDING + if imported_ver > current_ver: return ImportStatus.PENDING - if current_ver.micro != imported_ver.micro: + # If imported version is older than current's major, return PENDING + if imported_ver.major < current_ver.major: + return ImportStatus.PENDING + + # If imported version is older than current's minor, return COMPLETED_WITH_WARNINGS + if imported_ver.minor < current_ver.minor: return ImportStatus.COMPLETED_WITH_WARNINGS + # If imported version equals or is older than current's micro, return COMPLETED return ImportStatus.COMPLETED diff --git a/api/services/conversation_service.py b/api/services/conversation_service.py index 6485cbf37d..afdaa49465 100644 --- a/api/services/conversation_service.py +++ b/api/services/conversation_service.py @@ -9,9 +9,14 @@ from core.app.entities.app_invoke_entities import InvokeFrom from core.llm_generator.llm_generator import LLMGenerator from extensions.ext_database import db from libs.infinite_scroll_pagination import InfiniteScrollPagination +from models import ConversationVariable from models.account import Account from models.model import App, Conversation, EndUser, Message -from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError +from services.errors.conversation import ( + ConversationNotExistsError, + ConversationVariableNotExistsError, + LastConversationNotExistsError, +) from services.errors.message import MessageNotExistsError @@ -166,3 +171,50 @@ class ConversationService: conversation.is_deleted = True conversation.updated_at = datetime.now(UTC).replace(tzinfo=None) db.session.commit() + + @classmethod + def get_conversational_variable( + cls, + app_model: App, + conversation_id: str, + user: Optional[Union[Account, EndUser]], + limit: int, + last_id: Optional[str], + ) -> InfiniteScrollPagination: + conversation = cls.get_conversation(app_model, conversation_id, user) + + stmt = ( + select(ConversationVariable) + .where(ConversationVariable.app_id == app_model.id) + .where(ConversationVariable.conversation_id == conversation.id) + .order_by(ConversationVariable.created_at) + ) + + with Session(db.engine) as session: + if last_id: + last_variable = session.scalar(stmt.where(ConversationVariable.id == last_id)) + if not last_variable: + raise ConversationVariableNotExistsError() + + # Filter for variables created after the last_id + stmt = stmt.where(ConversationVariable.created_at > last_variable.created_at) + + # Apply limit to query + query_stmt = stmt.limit(limit) # Get one extra to check if there are more + rows = session.scalars(query_stmt).all() + + has_more = False + if len(rows) > limit: + has_more = True + rows = rows[:limit] # Remove the extra item + + variables = [ + { + "created_at": row.created_at, + "updated_at": row.updated_at, + **row.to_variable().model_dump(), + } + for row in rows + ] + + return InfiniteScrollPagination(variables, limit, has_more) diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index b019cf6b63..44d2594ee8 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -169,6 +169,9 @@ class DatasetService: provider: str = "vendor", external_knowledge_api_id: Optional[str] = None, external_knowledge_id: Optional[str] = None, + embedding_model_provider: Optional[str] = None, + embedding_model_name: Optional[str] = None, + retrieval_model: Optional[RetrievalModel] = None, ): # check if dataset name already exists if Dataset.query.filter_by(name=name, tenant_id=tenant_id).first(): @@ -176,9 +179,30 @@ class DatasetService: embedding_model = None if indexing_technique == "high_quality": model_manager = ModelManager() - embedding_model = model_manager.get_default_model_instance( - tenant_id=tenant_id, model_type=ModelType.TEXT_EMBEDDING - ) + if embedding_model_provider and embedding_model_name: + # check if embedding model setting is valid + DatasetService.check_embedding_model_setting(tenant_id, embedding_model_provider, embedding_model_name) + embedding_model = model_manager.get_model_instance( + tenant_id=tenant_id, + provider=embedding_model_provider, + model_type=ModelType.TEXT_EMBEDDING, + model=embedding_model_name, + ) + else: + embedding_model = model_manager.get_default_model_instance( + tenant_id=tenant_id, model_type=ModelType.TEXT_EMBEDDING + ) + if retrieval_model and retrieval_model.reranking_model: + if ( + retrieval_model.reranking_model.reranking_provider_name + and retrieval_model.reranking_model.reranking_model_name + ): + # check if reranking model setting is valid + DatasetService.check_embedding_model_setting( + tenant_id, + retrieval_model.reranking_model.reranking_provider_name, + retrieval_model.reranking_model.reranking_model_name, + ) dataset = Dataset(name=name, indexing_technique=indexing_technique) # dataset = Dataset(name=name, provider=provider, config=config) dataset.description = description @@ -187,6 +211,7 @@ class DatasetService: dataset.tenant_id = tenant_id dataset.embedding_model_provider = embedding_model.provider if embedding_model else None dataset.embedding_model = embedding_model.model if embedding_model else None + dataset.retrieval_model = retrieval_model.model_dump() if retrieval_model else None dataset.permission = permission or DatasetPermissionEnum.ONLY_ME dataset.provider = provider db.session.add(dataset) @@ -528,7 +553,7 @@ class DocumentService: {"id": "remove_extra_spaces", "enabled": True}, {"id": "remove_urls_emails", "enabled": False}, ], - "segmentation": {"delimiter": "\n", "max_tokens": 500, "chunk_overlap": 50}, + "segmentation": {"delimiter": "\n", "max_tokens": 1024, "chunk_overlap": 50}, }, "limits": { "indexing_max_segmentation_tokens_length": dify_config.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH, @@ -923,11 +948,11 @@ 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: @@ -2000,7 +2025,7 @@ class SegmentService: dataset_id=dataset.id, document_id=document.id, segment_id=segment.id, - position=max_position + 1, + position=max_position + 1 if max_position else 1, index_node_id=index_node_id, index_node_hash=index_node_hash, content=content, @@ -2150,7 +2175,13 @@ class SegmentService: @classmethod def get_segments( - cls, document_id: str, tenant_id: str, status_list: list[str] | None = None, keyword: str | None = None + cls, + document_id: str, + tenant_id: str, + status_list: list[str] | None = None, + keyword: str | None = None, + page: int = 1, + limit: int = 20, ): """Get segments for a document with optional filtering.""" query = DocumentSegment.query.filter( @@ -2163,10 +2194,11 @@ class SegmentService: if keyword: query = query.filter(DocumentSegment.content.ilike(f"%{keyword}%")) - segments = query.order_by(DocumentSegment.position.asc()).all() - total = len(segments) + paginated_segments = query.order_by(DocumentSegment.position.asc()).paginate( + page=page, per_page=limit, max_per_page=100, error_out=False + ) - return segments, total + return paginated_segments.items, paginated_segments.total @classmethod def update_segment_by_id( diff --git a/api/services/errors/conversation.py b/api/services/errors/conversation.py index 139dd9a70a..f8051e3417 100644 --- a/api/services/errors/conversation.py +++ b/api/services/errors/conversation.py @@ -11,3 +11,7 @@ class ConversationNotExistsError(BaseServiceError): class ConversationCompletedError(Exception): pass + + +class ConversationVariableNotExistsError(BaseServiceError): + pass diff --git a/api/services/external_knowledge_service.py b/api/services/external_knowledge_service.py index d9ee221a3c..6b75c29d95 100644 --- a/api/services/external_knowledge_service.py +++ b/api/services/external_knowledge_service.py @@ -2,9 +2,9 @@ import json from copy import deepcopy from datetime import UTC, datetime from typing import Any, Optional, Union, cast +from urllib.parse import urlparse import httpx -import validators from constants import HIDDEN_VALUE from core.helper import ssrf_proxy @@ -72,7 +72,9 @@ class ExternalDatasetService: endpoint = f"{settings['endpoint']}/retrieval" api_key = settings["api_key"] - if not validators.url(endpoint, simple_host=True): + + parsed_url = urlparse(endpoint) + if not all([parsed_url.scheme, parsed_url.netloc]): if not endpoint.startswith("http://") and not endpoint.startswith("https://"): raise ValueError(f"invalid endpoint: {endpoint} must start with http:// or https://") else: diff --git a/api/services/ops_service.py b/api/services/ops_service.py index 06b4732304..6b317212d1 100644 --- a/api/services/ops_service.py +++ b/api/services/ops_service.py @@ -67,7 +67,14 @@ class OpsService: new_decrypt_tracing_config.update({"project_url": project_url}) except Exception: new_decrypt_tracing_config.update({"project_url": "https://www.comet.com/opik/"}) - + if tracing_provider == "weave" and ( + "project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url") + ): + try: + project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider) + new_decrypt_tracing_config.update({"project_url": project_url}) + except Exception: + new_decrypt_tracing_config.update({"project_url": "https://wandb.ai/"}) trace_config_data.tracing_config = new_decrypt_tracing_config return trace_config_data.to_dict() diff --git a/api/services/plugin/data_migration.py b/api/services/plugin/data_migration.py index 597585588b..1c5abfecba 100644 --- a/api/services/plugin/data_migration.py +++ b/api/services/plugin/data_migration.py @@ -86,9 +86,9 @@ limit 1000""" update_retrieval_model_sql = ", retrieval_model = :retrieval_model" params["retrieval_model"] = json.dumps(retrieval_model) - sql = f"""update {table_name} - set {provider_column_name} = - concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) + sql = f"""update {table_name} + set {provider_column_name} = + concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) {update_retrieval_model_sql} where id = :record_id""" conn.execute(db.text(sql), params) @@ -131,10 +131,10 @@ limit 1000""" while True: sql = f""" - SELECT id, {provider_column_name} AS provider_name + SELECT id, {provider_column_name} AS provider_name FROM {table_name} - WHERE {provider_column_name} NOT LIKE '%/%' - AND {provider_column_name} IS NOT NULL + WHERE {provider_column_name} NOT LIKE '%/%' + AND {provider_column_name} IS NOT NULL AND {provider_column_name} != '' AND id > :last_id ORDER BY id ASC @@ -183,8 +183,8 @@ limit 1000""" if batch_updates: update_sql = f""" - UPDATE {table_name} - SET {provider_column_name} = :updated_value + UPDATE {table_name} + SET {provider_column_name} = :updated_value WHERE id = :record_id """ conn.execute(db.text(update_sql), [{"updated_value": u, "record_id": r} for u, r in batch_updates]) diff --git a/api/services/plugin/dependencies_analysis.py b/api/services/plugin/dependencies_analysis.py index 778f05a0cd..830d3a4769 100644 --- a/api/services/plugin/dependencies_analysis.py +++ b/api/services/plugin/dependencies_analysis.py @@ -1,6 +1,7 @@ +from configs import dify_config from core.helper import marketplace from core.plugin.entities.plugin import ModelProviderID, PluginDependency, PluginInstallationSource, ToolProviderID -from core.plugin.manager.plugin import PluginInstallationManager +from core.plugin.impl.plugin import PluginInstaller class DependenciesAnalysisService: @@ -37,7 +38,7 @@ class DependenciesAnalysisService: for dependency in dependencies: required_plugin_unique_identifiers.append(dependency.value.plugin_unique_identifier) - manager = PluginInstallationManager() + manager = PluginInstaller() # get leaked dependencies missing_plugins = manager.fetch_missing_dependencies(tenant_id, required_plugin_unique_identifiers) @@ -63,7 +64,7 @@ class DependenciesAnalysisService: Generate dependencies through the list of plugin ids """ dependencies = list(set(dependencies)) - manager = PluginInstallationManager() + manager = PluginInstaller() plugins = manager.fetch_plugin_installation_by_ids(tenant_id, dependencies) result = [] for plugin in plugins: @@ -111,6 +112,8 @@ class DependenciesAnalysisService: Generate the latest version of dependencies """ dependencies = list(set(dependencies)) + if not dify_config.MARKETPLACE_ENABLED: + return [] deps = marketplace.batch_fetch_plugin_manifests(dependencies) return [ PluginDependency( diff --git a/api/services/plugin/endpoint_service.py b/api/services/plugin/endpoint_service.py index 35961345a8..11b8e0a3d9 100644 --- a/api/services/plugin/endpoint_service.py +++ b/api/services/plugin/endpoint_service.py @@ -1,10 +1,10 @@ -from core.plugin.manager.endpoint import PluginEndpointManager +from core.plugin.impl.endpoint import PluginEndpointClient class EndpointService: @classmethod def create_endpoint(cls, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict): - return PluginEndpointManager().create_endpoint( + return PluginEndpointClient().create_endpoint( tenant_id=tenant_id, user_id=user_id, plugin_unique_identifier=plugin_unique_identifier, @@ -14,7 +14,7 @@ class EndpointService: @classmethod def list_endpoints(cls, tenant_id: str, user_id: str, page: int, page_size: int): - return PluginEndpointManager().list_endpoints( + return PluginEndpointClient().list_endpoints( tenant_id=tenant_id, user_id=user_id, page=page, @@ -23,7 +23,7 @@ class EndpointService: @classmethod def list_endpoints_for_single_plugin(cls, tenant_id: str, user_id: str, plugin_id: str, page: int, page_size: int): - return PluginEndpointManager().list_endpoints_for_single_plugin( + return PluginEndpointClient().list_endpoints_for_single_plugin( tenant_id=tenant_id, user_id=user_id, plugin_id=plugin_id, @@ -33,7 +33,7 @@ class EndpointService: @classmethod def update_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str, name: str, settings: dict): - return PluginEndpointManager().update_endpoint( + return PluginEndpointClient().update_endpoint( tenant_id=tenant_id, user_id=user_id, endpoint_id=endpoint_id, @@ -43,7 +43,7 @@ class EndpointService: @classmethod def delete_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): - return PluginEndpointManager().delete_endpoint( + return PluginEndpointClient().delete_endpoint( tenant_id=tenant_id, user_id=user_id, endpoint_id=endpoint_id, @@ -51,7 +51,7 @@ class EndpointService: @classmethod def enable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): - return PluginEndpointManager().enable_endpoint( + return PluginEndpointClient().enable_endpoint( tenant_id=tenant_id, user_id=user_id, endpoint_id=endpoint_id, @@ -59,7 +59,7 @@ class EndpointService: @classmethod def disable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): - return PluginEndpointManager().disable_endpoint( + return PluginEndpointClient().disable_endpoint( tenant_id=tenant_id, user_id=user_id, endpoint_id=endpoint_id, diff --git a/api/services/plugin/oauth_service.py b/api/services/plugin/oauth_service.py new file mode 100644 index 0000000000..461247419b --- /dev/null +++ b/api/services/plugin/oauth_service.py @@ -0,0 +1,7 @@ +from core.plugin.impl.base import BasePluginClient + + +class OAuthService(BasePluginClient): + @classmethod + def get_authorization_url(cls, tenant_id: str, user_id: str, provider_name: str) -> str: + return "1234567890" diff --git a/api/services/plugin/plugin_migration.py b/api/services/plugin/plugin_migration.py index ec9e0aa8dc..dbaaa7160e 100644 --- a/api/services/plugin/plugin_migration.py +++ b/api/services/plugin/plugin_migration.py @@ -17,7 +17,7 @@ from core.agent.entities import AgentToolEntity from core.helper import marketplace from core.plugin.entities.plugin import ModelProviderID, PluginInstallationSource, ToolProviderID from core.plugin.entities.plugin_daemon import PluginInstallTaskStatus -from core.plugin.manager.plugin import PluginInstallationManager +from core.plugin.impl.plugin import PluginInstaller from core.tools.entities.tool_entities import ToolProviderType from models.account import Tenant from models.engine import db @@ -331,7 +331,7 @@ class PluginMigration: """ Install plugins. """ - manager = PluginInstallationManager() + manager = PluginInstaller() plugins = cls.extract_unique_plugins(extracted_plugins) not_installed = [] @@ -426,7 +426,7 @@ class PluginMigration: """ Install plugins for a tenant. """ - manager = PluginInstallationManager() + manager = PluginInstaller() # download all the plugins and upload thread_pool = ThreadPoolExecutor(max_workers=10) diff --git a/api/services/plugin/plugin_service.py b/api/services/plugin/plugin_service.py index 25d192410f..be722a59ad 100644 --- a/api/services/plugin/plugin_service.py +++ b/api/services/plugin/plugin_service.py @@ -18,9 +18,9 @@ from core.plugin.entities.plugin import ( PluginInstallationSource, ) from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginUploadResponse -from core.plugin.manager.asset import PluginAssetManager -from core.plugin.manager.debugging import PluginDebuggingManager -from core.plugin.manager.plugin import PluginInstallationManager +from core.plugin.impl.asset import PluginAssetManager +from core.plugin.impl.debugging import PluginDebuggingClient +from core.plugin.impl.plugin import PluginInstaller from extensions.ext_redis import redis_client logger = logging.getLogger(__name__) @@ -91,7 +91,7 @@ class PluginService: """ get the debugging key of the tenant """ - manager = PluginDebuggingManager() + manager = PluginDebuggingClient() return manager.get_debugging_key(tenant_id) @staticmethod @@ -106,7 +106,7 @@ class PluginService: """ list all plugins of the tenant """ - manager = PluginInstallationManager() + manager = PluginInstaller() plugins = manager.list_plugins(tenant_id) return plugins @@ -115,7 +115,7 @@ class PluginService: """ List plugin installations from ids """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.fetch_plugin_installation_by_ids(tenant_id, ids) @staticmethod @@ -133,7 +133,7 @@ class PluginService: """ check if the plugin unique identifier is already installed by other tenant """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.fetch_plugin_by_identifier(tenant_id, plugin_unique_identifier) @staticmethod @@ -141,7 +141,7 @@ class PluginService: """ Fetch plugin manifest """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) @staticmethod @@ -149,12 +149,12 @@ class PluginService: """ Fetch plugin installation tasks """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.fetch_plugin_installation_tasks(tenant_id, page, page_size) @staticmethod def fetch_install_task(tenant_id: str, task_id: str) -> PluginInstallTask: - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.fetch_plugin_installation_task(tenant_id, task_id) @staticmethod @@ -162,7 +162,7 @@ class PluginService: """ Delete a plugin installation task """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.delete_plugin_installation_task(tenant_id, task_id) @staticmethod @@ -172,7 +172,7 @@ class PluginService: """ Delete all plugin installation task items """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.delete_all_plugin_installation_task_items(tenant_id) @staticmethod @@ -180,7 +180,7 @@ class PluginService: """ Delete a plugin installation task item """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.delete_plugin_installation_task_item(tenant_id, task_id, identifier) @staticmethod @@ -190,11 +190,14 @@ class PluginService: """ Upgrade plugin with marketplace """ + if not dify_config.MARKETPLACE_ENABLED: + raise ValueError("marketplace is not enabled") + if original_plugin_unique_identifier == new_plugin_unique_identifier: raise ValueError("you should not upgrade plugin with the same plugin") # check if plugin pkg is already downloaded - manager = PluginInstallationManager() + manager = PluginInstaller() try: manager.fetch_plugin_manifest(tenant_id, new_plugin_unique_identifier) @@ -227,7 +230,7 @@ class PluginService: """ Upgrade plugin with github """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.upgrade_plugin( tenant_id, original_plugin_unique_identifier, @@ -247,7 +250,7 @@ class PluginService: returns: plugin_unique_identifier """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.upload_pkg(tenant_id, pkg, verify_signature) @staticmethod @@ -262,7 +265,7 @@ class PluginService: f"https://github.com/{repo}/releases/download/{version}/{package}", dify_config.PLUGIN_MAX_PACKAGE_SIZE ) - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.upload_pkg( tenant_id, pkg, @@ -276,12 +279,12 @@ class PluginService: """ Upload a plugin bundle and return the dependencies. """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.upload_bundle(tenant_id, bundle, verify_signature) @staticmethod def install_from_local_pkg(tenant_id: str, plugin_unique_identifiers: Sequence[str]): - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.install_from_identifiers( tenant_id, plugin_unique_identifiers, @@ -295,7 +298,7 @@ class PluginService: Install plugin from github release package files, returns plugin_unique_identifier """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.install_from_identifiers( tenant_id, [plugin_unique_identifier], @@ -309,6 +312,25 @@ class PluginService: ], ) + @staticmethod + def fetch_marketplace_pkg( + tenant_id: str, plugin_unique_identifier: str, verify_signature: bool = False + ) -> PluginDeclaration: + """ + Fetch marketplace package + """ + if not dify_config.MARKETPLACE_ENABLED: + raise ValueError("marketplace is not enabled") + + manager = PluginInstaller() + try: + declaration = manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) + except Exception: + pkg = download_plugin_pkg(plugin_unique_identifier) + declaration = manager.upload_pkg(tenant_id, pkg, verify_signature).manifest + + return declaration + @staticmethod def install_from_marketplace_pkg( tenant_id: str, plugin_unique_identifiers: Sequence[str], verify_signature: bool = False @@ -317,7 +339,10 @@ class PluginService: Install plugin from marketplace package files, returns installation task id """ - manager = PluginInstallationManager() + if not dify_config.MARKETPLACE_ENABLED: + raise ValueError("marketplace is not enabled") + + manager = PluginInstaller() # check if already downloaded for plugin_unique_identifier in plugin_unique_identifiers: @@ -343,7 +368,7 @@ class PluginService: @staticmethod def uninstall(tenant_id: str, plugin_installation_id: str) -> bool: - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.uninstall(tenant_id, plugin_installation_id) @staticmethod @@ -351,5 +376,5 @@ class PluginService: """ Check if the tools exist """ - manager = PluginInstallationManager() + manager = PluginInstaller() return manager.check_tools_existence(tenant_id, provider_ids) diff --git a/api/services/tools/builtin_tools_manage_service.py b/api/services/tools/builtin_tools_manage_service.py index 075c60842b..3ccd14415d 100644 --- a/api/services/tools/builtin_tools_manage_service.py +++ b/api/services/tools/builtin_tools_manage_service.py @@ -8,7 +8,7 @@ from configs import dify_config from core.helper.position_helper import is_filtered from core.model_runtime.utils.encoders import jsonable_encoder from core.plugin.entities.plugin import GenericProviderID, ToolProviderID -from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.impl.exc import PluginDaemonClientSideError from core.tools.builtin_tool.providers._positions import BuiltinToolProviderSort from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity from core.tools.errors import ToolNotFoundError, ToolProviderCredentialValidationError, ToolProviderNotFoundError diff --git a/api/services/workflow_run_service.py b/api/services/workflow_run_service.py index 0ddd18ea27..f7c4f500a8 100644 --- a/api/services/workflow_run_service.py +++ b/api/services/workflow_run_service.py @@ -2,13 +2,14 @@ import threading from typing import Optional import contexts +from core.workflow.repository import RepositoryFactory +from core.workflow.repository.workflow_node_execution_repository import OrderConfig from extensions.ext_database import db from libs.infinite_scroll_pagination import InfiniteScrollPagination from models.enums import WorkflowRunTriggeredFrom from models.model import App from models.workflow import ( WorkflowNodeExecution, - WorkflowNodeExecutionTriggeredFrom, WorkflowRun, ) @@ -127,17 +128,17 @@ class WorkflowRunService: if not workflow_run: return [] - node_executions = ( - db.session.query(WorkflowNodeExecution) - .filter( - WorkflowNodeExecution.tenant_id == app_model.tenant_id, - WorkflowNodeExecution.app_id == app_model.id, - WorkflowNodeExecution.workflow_id == workflow_run.workflow_id, - WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN.value, - WorkflowNodeExecution.workflow_run_id == run_id, - ) - .order_by(WorkflowNodeExecution.index.desc()) - .all() + # Use the repository to get the node executions + repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": app_model.tenant_id, + "app_id": app_model.id, + "session_factory": db.session.get_bind(), + } ) - return node_executions + # Use the repository to get the node executions with ordering + 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) + + return list(node_executions) diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py index 53977d23ef..ebe65e5d5f 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -21,12 +21,14 @@ from core.workflow.nodes.enums import ErrorStrategy from core.workflow.nodes.event import RunCompletedEvent from core.workflow.nodes.event.types import NodeEvent from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING +from core.workflow.repository import RepositoryFactory from core.workflow.workflow_entry import WorkflowEntry from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated from extensions.ext_database import db from models.account import Account from models.enums import CreatedByRole from models.model import App, AppMode +from models.tools import WorkflowToolProvider from models.workflow import ( Workflow, WorkflowNodeExecution, @@ -282,8 +284,15 @@ class WorkflowService: workflow_node_execution.created_by = account.id workflow_node_execution.workflow_id = draft_workflow.id - db.session.add(workflow_node_execution) - db.session.commit() + # Use the repository to save the workflow node execution + repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": app_model.tenant_id, + "app_id": app_model.id, + "session_factory": db.session.get_bind(), + } + ) + repository.save(workflow_node_execution) return workflow_node_execution @@ -515,5 +524,21 @@ class WorkflowService: # 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}'") + # 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 + tool_provider = ( + session.query(WorkflowToolProvider) + .filter( + WorkflowToolProvider.tenant_id == workflow.tenant_id, + WorkflowToolProvider.app_id == workflow.app_id, + WorkflowToolProvider.version == workflow.version, + ) + .first() + ) + + if tool_provider: + # Cannot delete a workflow that's published as a tool + raise WorkflowInUseError("Cannot delete workflow that is published as a tool") + session.delete(workflow) return True diff --git a/api/tasks/ops_trace_task.py b/api/tasks/ops_trace_task.py index 2b49e4bb23..2e77332ffe 100644 --- a/api/tasks/ops_trace_task.py +++ b/api/tasks/ops_trace_task.py @@ -44,7 +44,10 @@ def process_trace_tasks(file_info): trace_info = trace_type(**trace_info) trace_instance.trace(trace_info) logging.info(f"Processing trace tasks success, app_id: {app_id}") - except Exception: + except Exception as e: + logging.info( + f"error:\n\n\n{e}\n\n\n\n", + ) failed_key = f"{OPS_TRACE_FAILED_KEY}_{app_id}" redis_client.incr(failed_key) logging.info(f"Processing trace tasks failed, app_id: {app_id}") diff --git a/api/tasks/remove_app_and_related_data_task.py b/api/tasks/remove_app_and_related_data_task.py index c3910e2be3..dedf1c5334 100644 --- a/api/tasks/remove_app_and_related_data_task.py +++ b/api/tasks/remove_app_and_related_data_task.py @@ -7,6 +7,7 @@ from celery import shared_task # type: ignore from sqlalchemy import delete from sqlalchemy.exc import SQLAlchemyError +from core.workflow.repository import RepositoryFactory from extensions.ext_database import db from models.dataset import AppDatasetJoin from models.model import ( @@ -30,7 +31,7 @@ from models.model import ( ) from models.tools import WorkflowToolProvider from models.web import PinnedConversation, SavedMessage -from models.workflow import ConversationVariable, Workflow, WorkflowAppLog, WorkflowNodeExecution, WorkflowRun +from models.workflow import ConversationVariable, Workflow, WorkflowAppLog, WorkflowRun @shared_task(queue="app_deletion", bind=True, max_retries=3) @@ -187,18 +188,20 @@ def _delete_app_workflow_runs(tenant_id: str, app_id: str): def _delete_app_workflow_node_executions(tenant_id: str, app_id: str): - def del_workflow_node_execution(workflow_node_execution_id: str): - db.session.query(WorkflowNodeExecution).filter(WorkflowNodeExecution.id == workflow_node_execution_id).delete( - synchronize_session=False - ) - - _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", + # Create a repository instance for WorkflowNodeExecution + repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": tenant_id, + "app_id": app_id, + "session_factory": db.session.get_bind(), + } ) + # Use the clear method to delete all records for this tenant_id and app_id + repository.clear() + + logging.info(click.style(f"Deleted workflow node executions for tenant {tenant_id} and app {app_id}", fg="green")) + def _delete_app_workflow_app_logs(tenant_id: str, app_id: str): def del_workflow_app_log(workflow_app_log_id: str): diff --git a/api/templates/clean_document_job_mail_template-US.html b/api/templates/clean_document_job_mail_template-US.html index 88e78f41c7..0f7ddc62a9 100644 --- a/api/templates/clean_document_job_mail_template-US.html +++ b/api/templates/clean_document_job_mail_template-US.html @@ -77,7 +77,7 @@

Some Documents in Your Knowledge Base Have Been Disabled

Dear {{userName}},

- We're sorry for the inconvenience. To ensure optimal performance, documents + We're sorry for the inconvenience. To ensure optimal performance, documents that haven’t been updated or accessed in the past 30 days have been disabled in your knowledge bases:

@@ -97,4 +97,4 @@ - \ No newline at end of file + diff --git a/api/templates/delete_account_code_email_template_en-US.html b/api/templates/delete_account_code_email_template_en-US.html index 7707385334..eca3dedf72 100644 --- a/api/templates/delete_account_code_email_template_en-US.html +++ b/api/templates/delete_account_code_email_template_en-US.html @@ -122,4 +122,4 @@ - \ No newline at end of file + diff --git a/api/templates/delete_account_success_template_en-US.html b/api/templates/delete_account_success_template_en-US.html index c5df75cabc..b96eee1172 100644 --- a/api/templates/delete_account_success_template_en-US.html +++ b/api/templates/delete_account_success_template_en-US.html @@ -102,4 +102,4 @@ - \ No newline at end of file + diff --git a/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py b/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py deleted file mode 100644 index 0ec0783112..0000000000 --- a/api/tests/artifact_tests/dependencies/test_dependencies_sorted.py +++ /dev/null @@ -1,49 +0,0 @@ -from typing import Any - -import toml # type: ignore - - -def load_api_poetry_configs() -> dict[str, Any]: - pyproject_toml = toml.load("api/pyproject.toml") - return pyproject_toml["tool"]["poetry"] - - -def load_all_dependency_groups() -> dict[str, dict[str, dict[str, Any]]]: - configs = load_api_poetry_configs() - configs_by_group = {"main": configs} - for group_name in configs["group"]: - configs_by_group[group_name] = configs["group"][group_name] - dependencies_by_group = {group_name: base["dependencies"] for group_name, base in configs_by_group.items()} - return dependencies_by_group - - -def test_group_dependencies_sorted(): - for group_name, dependencies in load_all_dependency_groups().items(): - dependency_names = list(dependencies.keys()) - expected_dependency_names = sorted(set(dependency_names)) - section = f"tool.poetry.group.{group_name}.dependencies" if group_name else "tool.poetry.dependencies" - assert expected_dependency_names == dependency_names, ( - f"Dependencies in group {group_name} are not sorted. " - f"Check and fix [{section}] section in pyproject.toml file" - ) - - -def test_group_dependencies_version_operator(): - for group_name, dependencies in load_all_dependency_groups().items(): - for dependency_name, specification in dependencies.items(): - version_spec = specification if isinstance(specification, str) else specification["version"] - assert not version_spec.startswith("^"), ( - f"Please replace '{dependency_name} = {version_spec}' with '{dependency_name} = ~{version_spec[1:]}' " - f"'^' operator is too wide and not allowed in the version specification." - ) - - -def test_duplicated_dependency_crossing_groups() -> None: - all_dependency_names: list[str] = [] - for dependencies in load_all_dependency_groups().values(): - dependency_names = list(dependencies.keys()) - all_dependency_names.extend(dependency_names) - expected_all_dependency_names = set(all_dependency_names) - assert sorted(expected_all_dependency_names) == sorted(all_dependency_names), ( - "Duplicated dependencies crossing groups are found" - ) diff --git a/api/tests/integration_tests/.gitignore b/api/tests/integration_tests/.gitignore index 426667562b..ed9875073f 100644 --- a/api/tests/integration_tests/.gitignore +++ b/api/tests/integration_tests/.gitignore @@ -1 +1 @@ -.env.test \ No newline at end of file +.env.test diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py index 6dfc01ab4c..e3c592b583 100644 --- a/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py +++ b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py @@ -6,7 +6,7 @@ import pytest # import monkeypatch from _pytest.monkeypatch import MonkeyPatch -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient from tests.integration_tests.model_runtime.__mock.plugin_model import MockModelClass @@ -23,9 +23,9 @@ def mock_plugin_daemon( def unpatch() -> None: monkeypatch.undo() - monkeypatch.setattr(PluginModelManager, "invoke_llm", MockModelClass.invoke_llm) - monkeypatch.setattr(PluginModelManager, "fetch_model_providers", MockModelClass.fetch_model_providers) - monkeypatch.setattr(PluginModelManager, "get_model_schema", MockModelClass.get_model_schema) + monkeypatch.setattr(PluginModelClient, "invoke_llm", MockModelClass.invoke_llm) + monkeypatch.setattr(PluginModelClient, "fetch_model_providers", MockModelClass.fetch_model_providers) + monkeypatch.setattr(PluginModelClient, "get_model_schema", MockModelClass.get_model_schema) return unpatch diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_model.py b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py index 50913662e2..d699866fb4 100644 --- a/api/tests/integration_tests/model_runtime/__mock/plugin_model.py +++ b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py @@ -19,10 +19,10 @@ from core.model_runtime.entities.model_entities import ( ) from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity from core.plugin.entities.plugin_daemon import PluginModelProviderEntity -from core.plugin.manager.model import PluginModelManager +from core.plugin.impl.model import PluginModelClient -class MockModelClass(PluginModelManager): +class MockModelClass(PluginModelClient): def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]: """ Fetch model providers for the given tenant. @@ -232,7 +232,7 @@ class MockModelClass(PluginModelManager): ) def invoke_llm( - self: PluginModelManager, + self: PluginModelClient, *, tenant_id: str, user_id: str, diff --git a/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py index c6d836ed6d..b6d583e338 100644 --- a/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py +++ b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py @@ -1,4 +1,4 @@ -from core.plugin.manager.tool import PluginToolManager +from core.plugin.impl.tool import PluginToolManager from tests.integration_tests.plugin.__mock.http import setup_http_mock diff --git a/api/tests/integration_tests/vdb/__mock/huaweicloudvectordb.py b/api/tests/integration_tests/vdb/__mock/huaweicloudvectordb.py new file mode 100644 index 0000000000..e1aba4e2c1 --- /dev/null +++ b/api/tests/integration_tests/vdb/__mock/huaweicloudvectordb.py @@ -0,0 +1,88 @@ +import os + +import pytest +from _pytest.monkeypatch import MonkeyPatch +from api.core.rag.datasource.vdb.field import Field +from elasticsearch import Elasticsearch + + +class MockIndicesClient: + def __init__(self): + pass + + def create(self, index, mappings, settings): + return {"acknowledge": True} + + def refresh(self, index): + return {"acknowledge": True} + + def delete(self, index): + return {"acknowledge": True} + + def exists(self, index): + return True + + +class MockClient: + def __init__(self, **kwargs): + self.indices = MockIndicesClient() + + def index(self, **kwargs): + return {"acknowledge": True} + + def exists(self, **kwargs): + return True + + def delete(self, **kwargs): + return {"acknowledge": True} + + def search(self, **kwargs): + return { + "took": 1, + "hits": { + "hits": [ + { + "_source": { + Field.CONTENT_KEY.value: "abcdef", + Field.VECTOR.value: [1, 2], + Field.METADATA_KEY.value: {}, + }, + "_score": 1.0, + }, + { + "_source": { + Field.CONTENT_KEY.value: "123456", + Field.VECTOR.value: [2, 2], + Field.METADATA_KEY.value: {}, + }, + "_score": 0.9, + }, + { + "_source": { + Field.CONTENT_KEY.value: "a1b2c3", + Field.VECTOR.value: [3, 2], + Field.METADATA_KEY.value: {}, + }, + "_score": 0.8, + }, + ] + }, + } + + +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + + +@pytest.fixture +def setup_client_mock(request, monkeypatch: MonkeyPatch): + if MOCK: + monkeypatch.setattr(Elasticsearch, "__init__", MockClient.__init__) + monkeypatch.setattr(Elasticsearch, "index", MockClient.index) + monkeypatch.setattr(Elasticsearch, "exists", MockClient.exists) + monkeypatch.setattr(Elasticsearch, "delete", MockClient.delete) + monkeypatch.setattr(Elasticsearch, "search", MockClient.search) + + yield + + if MOCK: + monkeypatch.undo() diff --git a/api/tests/integration_tests/vdb/huawei/__init__.py b/api/tests/integration_tests/vdb/huawei/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/vdb/huawei/test_huawei_cloud.py b/api/tests/integration_tests/vdb/huawei/test_huawei_cloud.py new file mode 100644 index 0000000000..943b2bc877 --- /dev/null +++ b/api/tests/integration_tests/vdb/huawei/test_huawei_cloud.py @@ -0,0 +1,28 @@ +from core.rag.datasource.vdb.huawei.huawei_cloud_vector import HuaweiCloudVector, HuaweiCloudVectorConfig +from tests.integration_tests.vdb.__mock.huaweicloudvectordb import setup_client_mock +from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis + + +class HuaweiCloudVectorTest(AbstractVectorTest): + def __init__(self): + super().__init__() + self.vector = HuaweiCloudVector( + "dify", + HuaweiCloudVectorConfig( + hosts="https://127.0.0.1:9200", + username="dify", + password="dify", + ), + ) + + def search_by_vector(self): + hits_by_vector = self.vector.search_by_vector(query_vector=self.example_embedding) + assert len(hits_by_vector) == 3 + + def search_by_full_text(self): + hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) + assert len(hits_by_full_text) == 3 + + +def test_huawei_cloud_vector(setup_mock_redis, setup_client_mock): + HuaweiCloudVectorTest().run_all_tests() diff --git a/api/tests/integration_tests/vdb/opengauss/test_opengauss.py b/api/tests/integration_tests/vdb/opengauss/test_opengauss.py index 5dbe97b35a..f2013848bf 100644 --- a/api/tests/integration_tests/vdb/opengauss/test_opengauss.py +++ b/api/tests/integration_tests/vdb/opengauss/test_opengauss.py @@ -1,5 +1,7 @@ import time +import psycopg2 # type: ignore + from core.rag.datasource.vdb.opengauss.opengauss import OpenGauss, OpenGaussConfig from tests.integration_tests.vdb.test_vector_store import ( AbstractVectorTest, diff --git a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py index 35eed75c2f..2d44dd2924 100644 --- a/api/tests/integration_tests/vdb/opensearch/test_opensearch.py +++ b/api/tests/integration_tests/vdb/opensearch/test_opensearch.py @@ -23,13 +23,70 @@ def setup_mock_redis(): ext_redis.redis_client.lock = MagicMock(return_value=mock_redis_lock) +class TestOpenSearchConfig: + def test_to_opensearch_params(self): + config = OpenSearchConfig( + host="localhost", + port=9200, + secure=True, + user="admin", + password="password", + ) + + params = config.to_opensearch_params() + + assert params["hosts"] == [{"host": "localhost", "port": 9200}] + assert params["use_ssl"] is True + assert params["verify_certs"] is True + assert params["connection_class"].__name__ == "Urllib3HttpConnection" + assert params["http_auth"] == ("admin", "password") + + @patch("boto3.Session") + @patch("core.rag.datasource.vdb.opensearch.opensearch_vector.Urllib3AWSV4SignerAuth") + def test_to_opensearch_params_with_aws_managed_iam( + self, mock_aws_signer_auth: MagicMock, mock_boto_session: MagicMock + ): + mock_credentials = MagicMock() + mock_boto_session.return_value.get_credentials.return_value = mock_credentials + + mock_auth_instance = MagicMock() + mock_aws_signer_auth.return_value = mock_auth_instance + + aws_region = "ap-southeast-2" + aws_service = "aoss" + host = f"aoss-endpoint.{aws_region}.aoss.amazonaws.com" + port = 9201 + + config = OpenSearchConfig( + host=host, + port=port, + secure=True, + auth_method="aws_managed_iam", + aws_region=aws_region, + aws_service=aws_service, + ) + + params = config.to_opensearch_params() + + assert params["hosts"] == [{"host": host, "port": port}] + assert params["use_ssl"] is True + assert params["verify_certs"] is True + assert params["connection_class"].__name__ == "Urllib3HttpConnection" + assert params["http_auth"] is mock_auth_instance + + mock_aws_signer_auth.assert_called_once_with( + credentials=mock_credentials, region=aws_region, service=aws_service + ) + assert mock_boto_session.return_value.get_credentials.called + + class TestOpenSearchVector: def setup_method(self): self.collection_name = "test_collection" self.example_doc_id = "example_doc_id" self.vector = OpenSearchVector( collection_name=self.collection_name, - config=OpenSearchConfig(host="localhost", port=9200, user="admin", password="password", secure=False), + config=OpenSearchConfig(host="localhost", port=9200, secure=False, user="admin", password="password"), ) self.vector._client = MagicMock() diff --git a/api/tests/integration_tests/vdb/pyvastbase/__init__.py b/api/tests/integration_tests/vdb/pyvastbase/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/integration_tests/vdb/pyvastbase/test_vastbase_vector.py b/api/tests/integration_tests/vdb/pyvastbase/test_vastbase_vector.py new file mode 100644 index 0000000000..3d7873442b --- /dev/null +++ b/api/tests/integration_tests/vdb/pyvastbase/test_vastbase_vector.py @@ -0,0 +1,27 @@ +from core.rag.datasource.vdb.pyvastbase.vastbase_vector import VastbaseVector, VastbaseVectorConfig +from tests.integration_tests.vdb.test_vector_store import ( + AbstractVectorTest, + get_example_text, + setup_mock_redis, +) + + +class VastbaseVectorTest(AbstractVectorTest): + def __init__(self): + super().__init__() + self.vector = VastbaseVector( + collection_name=self.collection_name, + config=VastbaseVectorConfig( + host="localhost", + port=5434, + user="dify", + password="Difyai123456", + database="dify", + min_connection=1, + max_connection=5, + ), + ) + + +def test_vastbase_vector(setup_mock_redis): + VastbaseVectorTest().run_all_tests() diff --git a/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py b/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py index 294a168310..f76700aa0e 100644 --- a/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py +++ b/api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py @@ -45,7 +45,7 @@ def main(): if is_tiflash_ready: break else: - print(f"Attempt {attempt + 1} failed，retry in {retry_interval_seconds} seconds...") + print(f"Attempt {attempt + 1} failed, retry in {retry_interval_seconds} seconds...") time.sleep(retry_interval_seconds) if is_tiflash_ready: diff --git a/api/tests/integration_tests/workflow/nodes/test_http.py b/api/tests/integration_tests/workflow/nodes/test_http.py index 0507fc7075..1ab0cc2451 100644 --- a/api/tests/integration_tests/workflow/nodes/test_http.py +++ b/api/tests/integration_tests/workflow/nodes/test_http.py @@ -425,8 +425,8 @@ def test_multi_colons_parse(setup_http_mock): result = node._run() assert result.process_data is not None assert result.outputs is not None - resp = result.outputs assert urlencode({"Redirect": "http://example2.com"}) in result.process_data.get("request", "") assert 'form-data; name="Redirect"\r\n\r\nhttp://example6.com' in result.process_data.get("request", "") + # resp = result.outputs # assert "http://example3.com" == resp.get("headers", {}).get("referer") diff --git a/api/tests/unit_tests/.gitignore b/api/tests/unit_tests/.gitignore index 426667562b..ed9875073f 100644 --- a/api/tests/unit_tests/.gitignore +++ b/api/tests/unit_tests/.gitignore @@ -1 +1 @@ -.env.test \ No newline at end of file +.env.test diff --git a/api/tests/unit_tests/core/model_runtime/__base/__init__.py b/api/tests/unit_tests/core/model_runtime/__base/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/tests/unit_tests/core/model_runtime/__base/test_increase_tool_call.py b/api/tests/unit_tests/core/model_runtime/__base/test_increase_tool_call.py new file mode 100644 index 0000000000..93d8a20cac --- /dev/null +++ b/api/tests/unit_tests/core/model_runtime/__base/test_increase_tool_call.py @@ -0,0 +1,99 @@ +from unittest.mock import MagicMock, patch + +from core.model_runtime.entities.message_entities import AssistantPromptMessage +from core.model_runtime.model_providers.__base.large_language_model import _increase_tool_call + +ToolCall = AssistantPromptMessage.ToolCall + +# CASE 1: Single tool call +INPUTS_CASE_1 = [ + ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), +] +EXPECTED_CASE_1 = [ + ToolCall( + id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}') + ), +] + +# CASE 2: Tool call sequences where IDs are anchored to the first chunk (vLLM/SiliconFlow ...) +INPUTS_CASE_2 = [ + ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), + ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), +] +EXPECTED_CASE_2 = [ + ToolCall( + id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}') + ), + ToolCall( + id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}') + ), +] + +# CASE 3: Tool call sequences where IDs are anchored to every chunk (SGLang ...) +INPUTS_CASE_3 = [ + ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")), + ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')), + ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), + ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")), + ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')), + ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), +] +EXPECTED_CASE_3 = [ + ToolCall( + id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}') + ), + ToolCall( + id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}') + ), +] + +# CASE 4: Tool call sequences with no IDs +INPUTS_CASE_4 = [ + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')), + ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')), +] +EXPECTED_CASE_4 = [ + ToolCall( + id="RANDOM_ID_1", + type="function", + function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}'), + ), + ToolCall( + id="RANDOM_ID_2", + type="function", + function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}'), + ), +] + + +def _run_case(inputs: list[ToolCall], expected: list[ToolCall]): + actual = [] + _increase_tool_call(inputs, actual) + assert actual == expected + + +def test__increase_tool_call(): + # case 1: + _run_case(INPUTS_CASE_1, EXPECTED_CASE_1) + + # case 2: + _run_case(INPUTS_CASE_2, EXPECTED_CASE_2) + + # case 3: + _run_case(INPUTS_CASE_3, EXPECTED_CASE_3) + + # case 4: + mock_id_generator = MagicMock() + mock_id_generator.side_effect = [_exp_case.id for _exp_case in EXPECTED_CASE_4] + with patch("core.model_runtime.model_providers.__base.large_language_model._gen_tool_call_id", mock_id_generator): + _run_case(INPUTS_CASE_4, EXPECTED_CASE_4) diff --git a/api/tests/unit_tests/core/prompt/test_prompt_message.py b/api/tests/unit_tests/core/prompt/test_prompt_message.py new file mode 100644 index 0000000000..e5da51d733 --- /dev/null +++ b/api/tests/unit_tests/core/prompt/test_prompt_message.py @@ -0,0 +1,27 @@ +from core.model_runtime.entities.message_entities import ( + ImagePromptMessageContent, + TextPromptMessageContent, + UserPromptMessage, +) + + +def test_build_prompt_message_with_prompt_message_contents(): + prompt = UserPromptMessage(content=[TextPromptMessageContent(data="Hello, World!")]) + assert isinstance(prompt.content, list) + assert isinstance(prompt.content[0], TextPromptMessageContent) + assert prompt.content[0].data == "Hello, World!" + + +def test_dump_prompt_message(): + example_url = "https://example.com/image.jpg" + prompt = UserPromptMessage( + content=[ + ImagePromptMessageContent( + url=example_url, + format="jpeg", + mime_type="image/jpeg", + ) + ] + ) + data = prompt.model_dump() + assert data["content"][0].get("url") == example_url 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 2a29ad3e41..f3dbd1836b 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 @@ -864,10 +864,11 @@ def test_condition_parallel_correct_output(mock_close, mock_remove, app): with patch.object(CodeNode, "_run", new=code_generator): generator = graph_engine.run() stream_content = "" - res_content = "VAT:\ndify 123" + wrong_content = ["Stamp Duty", "other"] for item in generator: if isinstance(item, NodeRunStreamChunkEvent): stream_content += f"{item.chunk_content}\n" if isinstance(item, GraphRunSucceededEvent): - assert item.outputs == {"answer": res_content} - assert stream_content == res_content + "\n" + assert item.outputs is not None + answer = item.outputs["answer"] + assert all(rc not in answer for rc in wrong_content) 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 ed35d8a32a..111c647d9c 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 @@ -1,14 +1,20 @@ +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.enums import SystemVariableKey from core.workflow.graph_engine.entities.event import ( GraphRunPartialSucceededEvent, NodeRunExceptionEvent, + NodeRunFailedEvent, NodeRunStreamChunkEvent, ) from core.workflow.graph_engine.entities.graph import Graph 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 WorkflowType +from models.workflow import WorkflowNodeExecutionStatus, WorkflowType class ContinueOnErrorTestHelper: @@ -492,10 +498,7 @@ def test_no_node_in_fail_branch_continue_on_error(): "edges": FAIL_BRANCH_EDGES[:-1], "nodes": [ {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"}, - { - "data": {"title": "success", "type": "answer", "answer": "HTTP request successful"}, - "id": "success", - }, + {"data": {"title": "success", "type": "answer", "answer": "HTTP request successful"}, "id": "success"}, ContinueOnErrorTestHelper.get_http_node(), ], } @@ -506,3 +509,47 @@ def test_no_node_in_fail_branch_continue_on_error(): assert any(isinstance(e, NodeRunExceptionEvent) for e in events) assert any(isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {} for e in events) assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 0 + + +def test_stream_output_with_fail_branch_continue_on_error(): + """Test stream output with fail-branch error strategy""" + graph_config = { + "edges": FAIL_BRANCH_EDGES, + "nodes": [ + {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"}, + { + "data": {"title": "success", "type": "answer", "answer": "LLM request successful"}, + "id": "success", + }, + { + "data": {"title": "error", "type": "answer", "answer": "{{#node.text#}}"}, + "id": "error", + }, + ContinueOnErrorTestHelper.get_llm_node(), + ], + } + graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config) + + def llm_generator(self): + contents = ["hi", "bye", "good morning"] + + yield RunStreamChunkEvent(chunk_content=contents[0], from_variable_selector=[self.node_id, "text"]) + + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.SUCCEEDED, + inputs={}, + process_data={}, + outputs={}, + metadata={ + NodeRunMetadataKey.TOTAL_TOKENS: 1, + NodeRunMetadataKey.TOTAL_PRICE: 1, + NodeRunMetadataKey.CURRENCY: "USD", + }, + ) + ) + + with patch.object(LLMNode, "_run", new=llm_generator): + events = list(graph_engine.run()) + assert sum(isinstance(e, NodeRunStreamChunkEvent) for e in events) == 1 + assert all(not isinstance(e, NodeRunFailedEvent | NodeRunExceptionEvent) for e in events) diff --git a/api/tests/unit_tests/core/workflow/nodes/test_retry.py b/api/tests/unit_tests/core/workflow/nodes/test_retry.py index 4ac79d7acd..57d3b203b9 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_retry.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_retry.py @@ -46,13 +46,6 @@ def test_retry_default_value_partial_success(): def test_retry_failed(): """retry failed with success status""" - error_code = """ - def main() -> dict: - return { - "result": 1 / 0, - } - """ - graph_config = { "edges": DEFAULT_VALUE_EDGE, "nodes": [ diff --git a/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/__init__.py b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/__init__.py new file mode 100644 index 0000000000..8b13789179 --- /dev/null +++ b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/__init__.py @@ -0,0 +1 @@ + diff --git a/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_variable_assigner_v2.py b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_variable_assigner_v2.py new file mode 100644 index 0000000000..7c5597dd89 --- /dev/null +++ b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_variable_assigner_v2.py @@ -0,0 +1,390 @@ +import time +import uuid +from uuid import uuid4 + +from core.app.entities.app_invoke_entities import InvokeFrom +from core.variables import ArrayStringVariable +from core.workflow.entities.variable_pool import VariablePool +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.variable_assigner.v2 import VariableAssignerNode +from core.workflow.nodes.variable_assigner.v2.enums import InputType, Operation +from models.enums import UserFrom +from models.workflow import WorkflowType + +DEFAULT_NODE_ID = "node_id" + + +def test_handle_item_directly(): + """Test the _handle_item method directly for remove operations.""" + # Create variables + variable1 = ArrayStringVariable( + id=str(uuid4()), + name="test_variable1", + value=["first", "second", "third"], + ) + + variable2 = ArrayStringVariable( + id=str(uuid4()), + name="test_variable2", + value=["first", "second", "third"], + ) + + # Create a mock class with just the _handle_item method + class MockNode: + def _handle_item(self, *, variable, operation, value): + match operation: + case Operation.REMOVE_FIRST: + if not variable.value: + return variable.value + return variable.value[1:] + case Operation.REMOVE_LAST: + if not variable.value: + return variable.value + return variable.value[:-1] + + node = MockNode() + + # Test remove-first + result1 = node._handle_item( + variable=variable1, + operation=Operation.REMOVE_FIRST, + value=None, + ) + + # Test remove-last + result2 = node._handle_item( + variable=variable2, + operation=Operation.REMOVE_LAST, + value=None, + ) + + # Check the results + assert result1 == ["second", "third"] + assert result2 == ["first", "second"] + + +def test_remove_first_from_array(): + """Test removing the first element from an array.""" + graph_config = { + "edges": [ + { + "id": "start-source-assigner-target", + "source": "start", + "target": "assigner", + }, + ], + "nodes": [ + {"data": {"type": "start"}, "id": "start"}, + { + "data": { + "type": "assigner", + }, + "id": "assigner", + }, + ], + } + + graph = Graph.init(graph_config=graph_config) + + init_params = GraphInitParams( + tenant_id="1", + app_id="1", + workflow_type=WorkflowType.WORKFLOW, + workflow_id="1", + graph_config=graph_config, + user_id="1", + user_from=UserFrom.ACCOUNT, + invoke_from=InvokeFrom.DEBUGGER, + call_depth=0, + ) + + conversation_variable = ArrayStringVariable( + id=str(uuid4()), + name="test_conversation_variable", + value=["first", "second", "third"], + selector=["conversation", "test_conversation_variable"], + ) + + variable_pool = VariablePool( + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + user_inputs={}, + environment_variables=[], + conversation_variables=[conversation_variable], + ) + + node = VariableAssignerNode( + id=str(uuid.uuid4()), + graph_init_params=init_params, + graph=graph, + graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()), + config={ + "id": "node_id", + "data": { + "title": "test", + "version": "2", + "items": [ + { + "variable_selector": ["conversation", conversation_variable.name], + "input_type": InputType.VARIABLE, + "operation": Operation.REMOVE_FIRST, + "value": None, + } + ], + }, + }, + ) + + # Skip the mock assertion since we're in a test environment + # Print the variable before running + print(f"Before: {variable_pool.get(['conversation', conversation_variable.name]).to_object()}") + + # Run the node + result = list(node.run()) + + # Print the variable after running and the result + print(f"After: {variable_pool.get(['conversation', conversation_variable.name]).to_object()}") + print(f"Result: {result}") + + got = variable_pool.get(["conversation", conversation_variable.name]) + assert got is not None + assert got.to_object() == ["second", "third"] + + +def test_remove_last_from_array(): + """Test removing the last element from an array.""" + graph_config = { + "edges": [ + { + "id": "start-source-assigner-target", + "source": "start", + "target": "assigner", + }, + ], + "nodes": [ + {"data": {"type": "start"}, "id": "start"}, + { + "data": { + "type": "assigner", + }, + "id": "assigner", + }, + ], + } + + graph = Graph.init(graph_config=graph_config) + + init_params = GraphInitParams( + tenant_id="1", + app_id="1", + workflow_type=WorkflowType.WORKFLOW, + workflow_id="1", + graph_config=graph_config, + user_id="1", + user_from=UserFrom.ACCOUNT, + invoke_from=InvokeFrom.DEBUGGER, + call_depth=0, + ) + + conversation_variable = ArrayStringVariable( + id=str(uuid4()), + name="test_conversation_variable", + value=["first", "second", "third"], + selector=["conversation", "test_conversation_variable"], + ) + + variable_pool = VariablePool( + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + user_inputs={}, + environment_variables=[], + conversation_variables=[conversation_variable], + ) + + node = VariableAssignerNode( + id=str(uuid.uuid4()), + graph_init_params=init_params, + graph=graph, + graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()), + config={ + "id": "node_id", + "data": { + "title": "test", + "version": "2", + "items": [ + { + "variable_selector": ["conversation", conversation_variable.name], + "input_type": InputType.VARIABLE, + "operation": Operation.REMOVE_LAST, + "value": None, + } + ], + }, + }, + ) + + # Skip the mock assertion since we're in a test environment + list(node.run()) + + got = variable_pool.get(["conversation", conversation_variable.name]) + assert got is not None + assert got.to_object() == ["first", "second"] + + +def test_remove_first_from_empty_array(): + """Test removing the first element from an empty array (should do nothing).""" + graph_config = { + "edges": [ + { + "id": "start-source-assigner-target", + "source": "start", + "target": "assigner", + }, + ], + "nodes": [ + {"data": {"type": "start"}, "id": "start"}, + { + "data": { + "type": "assigner", + }, + "id": "assigner", + }, + ], + } + + graph = Graph.init(graph_config=graph_config) + + init_params = GraphInitParams( + tenant_id="1", + app_id="1", + workflow_type=WorkflowType.WORKFLOW, + workflow_id="1", + graph_config=graph_config, + user_id="1", + user_from=UserFrom.ACCOUNT, + invoke_from=InvokeFrom.DEBUGGER, + call_depth=0, + ) + + conversation_variable = ArrayStringVariable( + id=str(uuid4()), + name="test_conversation_variable", + value=[], + selector=["conversation", "test_conversation_variable"], + ) + + variable_pool = VariablePool( + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + user_inputs={}, + environment_variables=[], + conversation_variables=[conversation_variable], + ) + + node = VariableAssignerNode( + id=str(uuid.uuid4()), + graph_init_params=init_params, + graph=graph, + graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()), + config={ + "id": "node_id", + "data": { + "title": "test", + "version": "2", + "items": [ + { + "variable_selector": ["conversation", conversation_variable.name], + "input_type": InputType.VARIABLE, + "operation": Operation.REMOVE_FIRST, + "value": None, + } + ], + }, + }, + ) + + # Skip the mock assertion since we're in a test environment + list(node.run()) + + got = variable_pool.get(["conversation", conversation_variable.name]) + assert got is not None + assert got.to_object() == [] + + +def test_remove_last_from_empty_array(): + """Test removing the last element from an empty array (should do nothing).""" + graph_config = { + "edges": [ + { + "id": "start-source-assigner-target", + "source": "start", + "target": "assigner", + }, + ], + "nodes": [ + {"data": {"type": "start"}, "id": "start"}, + { + "data": { + "type": "assigner", + }, + "id": "assigner", + }, + ], + } + + graph = Graph.init(graph_config=graph_config) + + init_params = GraphInitParams( + tenant_id="1", + app_id="1", + workflow_type=WorkflowType.WORKFLOW, + workflow_id="1", + graph_config=graph_config, + user_id="1", + user_from=UserFrom.ACCOUNT, + invoke_from=InvokeFrom.DEBUGGER, + call_depth=0, + ) + + conversation_variable = ArrayStringVariable( + id=str(uuid4()), + name="test_conversation_variable", + value=[], + selector=["conversation", "test_conversation_variable"], + ) + + variable_pool = VariablePool( + system_variables={SystemVariableKey.CONVERSATION_ID: "conversation_id"}, + user_inputs={}, + environment_variables=[], + conversation_variables=[conversation_variable], + ) + + node = VariableAssignerNode( + id=str(uuid.uuid4()), + graph_init_params=init_params, + graph=graph, + graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()), + config={ + "id": "node_id", + "data": { + "title": "test", + "version": "2", + "items": [ + { + "variable_selector": ["conversation", conversation_variable.name], + "input_type": InputType.VARIABLE, + "operation": Operation.REMOVE_LAST, + "value": None, + } + ], + }, + }, + ) + + # Skip the mock assertion since we're in a test environment + list(node.run()) + + got = variable_pool.get(["conversation", conversation_variable.name]) + assert got is not None + assert got.to_object() == [] diff --git a/api/tests/unit_tests/factories/test_build_from_mapping.py b/api/tests/unit_tests/factories/test_build_from_mapping.py new file mode 100644 index 0000000000..48463a369e --- /dev/null +++ b/api/tests/unit_tests/factories/test_build_from_mapping.py @@ -0,0 +1,198 @@ +import uuid +from unittest.mock import MagicMock, patch + +import pytest +from httpx import Response + +from factories.file_factory import ( + File, + FileTransferMethod, + FileType, + FileUploadConfig, + build_from_mapping, +) +from models import ToolFile, UploadFile + +# Test Data +TEST_TENANT_ID = "test_tenant_id" +TEST_UPLOAD_FILE_ID = str(uuid.uuid4()) +TEST_TOOL_FILE_ID = str(uuid.uuid4()) +TEST_REMOTE_URL = "http://example.com/test.jpg" + +# Test Config +TEST_CONFIG = FileUploadConfig( + allowed_file_types=["image", "document"], + allowed_file_extensions=[".jpg", ".pdf"], + allowed_file_upload_methods=[FileTransferMethod.LOCAL_FILE, FileTransferMethod.TOOL_FILE], + number_limits=10, +) + + +# Fixtures +@pytest.fixture +def mock_upload_file(): + mock = MagicMock(spec=UploadFile) + mock.id = TEST_UPLOAD_FILE_ID + mock.tenant_id = TEST_TENANT_ID + mock.name = "test.jpg" + mock.extension = "jpg" + mock.mime_type = "image/jpeg" + mock.source_url = TEST_REMOTE_URL + mock.size = 1024 + mock.key = "test_key" + with patch("factories.file_factory.db.session.scalar", return_value=mock) as m: + yield m + + +@pytest.fixture +def mock_tool_file(): + mock = MagicMock(spec=ToolFile) + mock.id = TEST_TOOL_FILE_ID + mock.tenant_id = TEST_TENANT_ID + mock.name = "tool_file.pdf" + mock.file_key = "tool_file.pdf" + mock.mimetype = "application/pdf" + mock.original_url = "http://example.com/tool.pdf" + mock.size = 2048 + with patch("factories.file_factory.db.session.query") as mock_query: + mock_query.return_value.filter.return_value.first.return_value = mock + yield mock + + +@pytest.fixture +def mock_http_head(): + def _mock_response(filename, size, content_type): + return Response( + status_code=200, + headers={ + "Content-Disposition": f'attachment; filename="{filename}"', + "Content-Length": str(size), + "Content-Type": content_type, + }, + ) + + with patch("factories.file_factory.ssrf_proxy.head") as mock_head: + mock_head.return_value = _mock_response("remote_test.jpg", 2048, "image/jpeg") + yield mock_head + + +# Helper functions +def local_file_mapping(file_type="image"): + return { + "transfer_method": "local_file", + "upload_file_id": TEST_UPLOAD_FILE_ID, + "type": file_type, + } + + +def tool_file_mapping(file_type="document"): + return { + "transfer_method": "tool_file", + "tool_file_id": TEST_TOOL_FILE_ID, + "type": file_type, + } + + +# Tests +def test_build_from_mapping_backward_compatibility(mock_upload_file): + mapping = local_file_mapping(file_type="image") + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID) + assert isinstance(file, File) + assert file.transfer_method == FileTransferMethod.LOCAL_FILE + assert file.type == FileType.IMAGE + assert file.related_id == TEST_UPLOAD_FILE_ID + + +@pytest.mark.parametrize( + ("file_type", "should_pass", "expected_error"), + [ + ("image", True, None), + ("document", False, "Detected file type does not match"), + ], +) +def test_build_from_local_file_strict_validation(mock_upload_file, file_type, should_pass, expected_error): + mapping = local_file_mapping(file_type=file_type) + if should_pass: + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True) + assert file.type == FileType(file_type) + else: + with pytest.raises(ValueError, match=expected_error): + build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True) + + +@pytest.mark.parametrize( + ("file_type", "should_pass", "expected_error"), + [ + ("document", True, None), + ("image", False, "Detected file type does not match"), + ], +) +def test_build_from_tool_file_strict_validation(mock_tool_file, file_type, should_pass, expected_error): + """Strict type validation for tool_file.""" + mapping = tool_file_mapping(file_type=file_type) + if should_pass: + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True) + assert file.type == FileType(file_type) + else: + with pytest.raises(ValueError, match=expected_error): + build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True) + + +def test_build_from_remote_url(mock_http_head): + mapping = { + "transfer_method": "remote_url", + "url": TEST_REMOTE_URL, + "type": "image", + } + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID) + assert file.transfer_method == FileTransferMethod.REMOTE_URL + assert file.type == FileType.IMAGE + assert file.filename == "remote_test.jpg" + assert file.size == 2048 + + +def test_tool_file_not_found(): + """Test ToolFile not found in database.""" + with patch("factories.file_factory.db.session.query") as mock_query: + mock_query.return_value.filter.return_value.first.return_value = None + mapping = tool_file_mapping() + with pytest.raises(ValueError, match=f"ToolFile {TEST_TOOL_FILE_ID} not found"): + build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID) + + +def test_local_file_not_found(): + """Test UploadFile not found in database.""" + with patch("factories.file_factory.db.session.scalar", return_value=None): + mapping = local_file_mapping() + with pytest.raises(ValueError, match="Invalid upload file"): + build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID) + + +def test_build_without_type_specification(mock_upload_file): + """Test the situation where no file type is specified""" + mapping = { + "transfer_method": "local_file", + "upload_file_id": TEST_UPLOAD_FILE_ID, + # leave out the type + } + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID) + # It should automatically infer the type as "image" based on the file extension + assert file.type == FileType.IMAGE + + +@pytest.mark.parametrize( + ("file_type", "should_pass", "expected_error"), + [ + ("image", True, None), + ("video", False, "File validation failed"), + ], +) +def test_file_validation_with_config(mock_upload_file, file_type, should_pass, expected_error): + """Test the validation of files and configurations""" + mapping = local_file_mapping(file_type=file_type) + if should_pass: + file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, config=TEST_CONFIG) + assert file is not None + else: + with pytest.raises(ValueError, match=expected_error): + build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, config=TEST_CONFIG) diff --git a/api/tests/unit_tests/repositories/__init__.py b/api/tests/unit_tests/repositories/__init__.py new file mode 100644 index 0000000000..bc0d6e78c9 --- /dev/null +++ b/api/tests/unit_tests/repositories/__init__.py @@ -0,0 +1,3 @@ +""" +Unit tests for repositories. +""" diff --git a/api/tests/unit_tests/repositories/workflow_node_execution/__init__.py b/api/tests/unit_tests/repositories/workflow_node_execution/__init__.py new file mode 100644 index 0000000000..78815a8d1a --- /dev/null +++ b/api/tests/unit_tests/repositories/workflow_node_execution/__init__.py @@ -0,0 +1,3 @@ +""" +Unit tests for workflow_node_execution repositories. +""" 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 new file mode 100644 index 0000000000..c16b453cba --- /dev/null +++ b/api/tests/unit_tests/repositories/workflow_node_execution/test_sqlalchemy_repository.py @@ -0,0 +1,178 @@ +""" +Unit tests for the SQLAlchemy implementation of WorkflowNodeExecutionRepository. +""" + +from unittest.mock import MagicMock + +import pytest +from pytest_mock import MockerFixture +from sqlalchemy.orm import Session, sessionmaker + +from core.repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository +from core.workflow.repository.workflow_node_execution_repository import OrderConfig +from models.workflow import WorkflowNodeExecution + + +@pytest.fixture +def session(): + """Create a mock SQLAlchemy session.""" + session = MagicMock(spec=Session) + # Configure the session to be used as a context manager + session.__enter__ = MagicMock(return_value=session) + session.__exit__ = MagicMock(return_value=None) + + # Configure the session factory to return the session + session_factory = MagicMock(spec=sessionmaker) + session_factory.return_value = session + return session, session_factory + + +@pytest.fixture +def repository(session): + """Create a repository instance with test data.""" + _, session_factory = session + tenant_id = "test-tenant" + app_id = "test-app" + return SQLAlchemyWorkflowNodeExecutionRepository( + session_factory=session_factory, tenant_id=tenant_id, app_id=app_id + ) + + +def test_save(repository, session): + """Test save method.""" + session_obj, _ = session + # Create a mock execution + execution = MagicMock(spec=WorkflowNodeExecution) + execution.tenant_id = None + execution.app_id = None + + # Call save method + repository.save(execution) + + # Assert tenant_id and app_id are set + assert execution.tenant_id == repository._tenant_id + assert execution.app_id == repository._app_id + + # Assert session.add was called + session_obj.add.assert_called_once_with(execution) + + +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.tenant_id = "existing-tenant" + execution.app_id = None + + # Call save method + repository.save(execution) + + # Assert tenant_id is not changed and app_id is set + assert execution.tenant_id == "existing-tenant" + assert execution.app_id == repository._app_id + + # Assert session.add was called + session_obj.add.assert_called_once_with(execution) + + +def test_get_by_node_execution_id(repository, session, mocker: MockerFixture): + """Test get_by_node_execution_id method.""" + session_obj, _ = session + # Set up mock + mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select") + mock_stmt = mocker.MagicMock() + mock_select.return_value = mock_stmt + mock_stmt.where.return_value = mock_stmt + session_obj.scalar.return_value = mocker.MagicMock(spec=WorkflowNodeExecution) + + # Call method + result = repository.get_by_node_execution_id("test-node-execution-id") + + # Assert select was called with correct parameters + mock_select.assert_called_once() + session_obj.scalar.assert_called_once_with(mock_stmt) + assert result is not None + + +def test_get_by_workflow_run(repository, session, mocker: MockerFixture): + """Test get_by_workflow_run method.""" + session_obj, _ = session + # Set up mock + mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select") + mock_stmt = mocker.MagicMock() + mock_select.return_value = mock_stmt + mock_stmt.where.return_value = mock_stmt + mock_stmt.order_by.return_value = mock_stmt + session_obj.scalars.return_value.all.return_value = [mocker.MagicMock(spec=WorkflowNodeExecution)] + + # Call method + order_config = OrderConfig(order_by=["index"], order_direction="desc") + result = repository.get_by_workflow_run(workflow_run_id="test-workflow-run-id", order_config=order_config) + + # Assert select was called with correct parameters + mock_select.assert_called_once() + session_obj.scalars.assert_called_once_with(mock_stmt) + assert len(result) == 1 + + +def test_get_running_executions(repository, session, mocker: MockerFixture): + """Test get_running_executions method.""" + session_obj, _ = session + # Set up mock + mock_select = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.select") + mock_stmt = mocker.MagicMock() + mock_select.return_value = mock_stmt + mock_stmt.where.return_value = mock_stmt + session_obj.scalars.return_value.all.return_value = [mocker.MagicMock(spec=WorkflowNodeExecution)] + + # Call method + result = repository.get_running_executions("test-workflow-run-id") + + # Assert select was called with correct parameters + mock_select.assert_called_once() + session_obj.scalars.assert_called_once_with(mock_stmt) + assert len(result) == 1 + + +def test_update(repository, session): + """Test update method.""" + session_obj, _ = session + # Create a mock execution + execution = MagicMock(spec=WorkflowNodeExecution) + execution.tenant_id = None + execution.app_id = None + + # Call update method + repository.update(execution) + + # Assert tenant_id and app_id are set + assert execution.tenant_id == repository._tenant_id + assert execution.app_id == repository._app_id + + # Assert session.merge was called + session_obj.merge.assert_called_once_with(execution) + + +def test_clear(repository, session, mocker: MockerFixture): + """Test clear method.""" + session_obj, _ = session + # Set up mock + mock_delete = mocker.patch("core.repositories.workflow_node_execution.sqlalchemy_repository.delete") + mock_stmt = mocker.MagicMock() + mock_delete.return_value = mock_stmt + mock_stmt.where.return_value = mock_stmt + + # Mock the execute result with rowcount + mock_result = mocker.MagicMock() + mock_result.rowcount = 5 # Simulate 5 records deleted + session_obj.execute.return_value = mock_result + + # Call method + repository.clear() + + # Assert delete was called with correct parameters + mock_delete.assert_called_once_with(WorkflowNodeExecution) + mock_stmt.where.assert_called() + session_obj.execute.assert_called_once_with(mock_stmt) + session_obj.commit.assert_called_once() diff --git a/api/tests/unit_tests/services/workflow/test_workflow_deletion.py b/api/tests/unit_tests/services/workflow/test_workflow_deletion.py new file mode 100644 index 0000000000..223020c2c5 --- /dev/null +++ b/api/tests/unit_tests/services/workflow/test_workflow_deletion.py @@ -0,0 +1,126 @@ +from unittest.mock import MagicMock + +import pytest +from sqlalchemy.orm import Session + +from models.model import App +from models.workflow import Workflow +from services.workflow_service import DraftWorkflowDeletionError, WorkflowInUseError, WorkflowService + + +@pytest.fixture +def workflow_setup(): + workflow_service = WorkflowService() + session = MagicMock(spec=Session) + tenant_id = "test-tenant-id" + workflow_id = "test-workflow-id" + + # Mock workflow + workflow = MagicMock(spec=Workflow) + workflow.id = workflow_id + workflow.tenant_id = tenant_id + workflow.version = "1.0" # Not a draft + workflow.tool_published = False # Not published as a tool by default + + # Mock app + app = MagicMock(spec=App) + app.id = "test-app-id" + app.name = "Test App" + app.workflow_id = None # Not used by an app by default + + return { + "workflow_service": workflow_service, + "session": session, + "tenant_id": tenant_id, + "workflow_id": workflow_id, + "workflow": workflow, + "app": app, + } + + +def test_delete_workflow_success(workflow_setup): + # Setup mocks + + # Mock the tool provider query to return None (not published as a tool) + workflow_setup["session"].query.return_value.filter.return_value.first.return_value = None + + workflow_setup["session"].scalar = MagicMock( + side_effect=[workflow_setup["workflow"], None] + ) # Return workflow first, then None for app + + # Call the method + result = workflow_setup["workflow_service"].delete_workflow( + session=workflow_setup["session"], + workflow_id=workflow_setup["workflow_id"], + tenant_id=workflow_setup["tenant_id"], + ) + + # Verify + assert result is True + workflow_setup["session"].delete.assert_called_once_with(workflow_setup["workflow"]) + + +def test_delete_workflow_draft_error(workflow_setup): + # Setup mocks + workflow_setup["workflow"].version = "draft" + workflow_setup["session"].scalar = MagicMock(return_value=workflow_setup["workflow"]) + + # Call the method and verify exception + with pytest.raises(DraftWorkflowDeletionError): + workflow_setup["workflow_service"].delete_workflow( + session=workflow_setup["session"], + workflow_id=workflow_setup["workflow_id"], + tenant_id=workflow_setup["tenant_id"], + ) + + # Verify + workflow_setup["session"].delete.assert_not_called() + + +def test_delete_workflow_in_use_by_app_error(workflow_setup): + # Setup mocks + workflow_setup["app"].workflow_id = workflow_setup["workflow_id"] + workflow_setup["session"].scalar = MagicMock( + side_effect=[workflow_setup["workflow"], workflow_setup["app"]] + ) # Return workflow first, then app + + # Call the method and verify exception + with pytest.raises(WorkflowInUseError) as excinfo: + workflow_setup["workflow_service"].delete_workflow( + session=workflow_setup["session"], + workflow_id=workflow_setup["workflow_id"], + tenant_id=workflow_setup["tenant_id"], + ) + + # Verify error message contains app name + assert "Cannot delete workflow that is currently in use by app" in str(excinfo.value) + + # Verify + workflow_setup["session"].delete.assert_not_called() + + +def test_delete_workflow_published_as_tool_error(workflow_setup): + # Setup mocks + from models.tools import WorkflowToolProvider + + # Mock the tool provider query + mock_tool_provider = MagicMock(spec=WorkflowToolProvider) + workflow_setup["session"].query.return_value.filter.return_value.first.return_value = mock_tool_provider + + workflow_setup["session"].scalar = MagicMock( + side_effect=[workflow_setup["workflow"], None] + ) # Return workflow first, then None for app + + # Call the method and verify exception + with pytest.raises(WorkflowInUseError) as excinfo: + workflow_setup["workflow_service"].delete_workflow( + session=workflow_setup["session"], + workflow_id=workflow_setup["workflow_id"], + tenant_id=workflow_setup["tenant_id"], + ) + + # Verify error message + assert "Cannot delete workflow that is published as a tool" in str(excinfo.value) + + # Verify + workflow_setup["session"].delete.assert_not_called() diff --git a/api/tests/unit_tests/utils/http_parser/test_oauth_convert_request_to_raw_data.py b/api/tests/unit_tests/utils/http_parser/test_oauth_convert_request_to_raw_data.py new file mode 100644 index 0000000000..f788a9756b --- /dev/null +++ b/api/tests/unit_tests/utils/http_parser/test_oauth_convert_request_to_raw_data.py @@ -0,0 +1,20 @@ +from werkzeug import Request +from werkzeug.datastructures import Headers +from werkzeug.test import EnvironBuilder + +from core.plugin.impl.oauth import OAuthHandler + + +def test_oauth_convert_request_to_raw_data(): + oauth_handler = OAuthHandler() + builder = EnvironBuilder( + method="GET", + path="/test", + headers=Headers({"Content-Type": "application/json"}), + ) + request = Request(builder.get_environ()) + raw_request_bytes = oauth_handler._convert_request_to_raw_data(request) + + assert b"GET /test HTTP/1.1" in raw_request_bytes + assert b"Content-Type: application/json" in 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'PyPy'" }, +] diff --git a/dev/mypy-check b/dev/mypy-check new file mode 100755 index 0000000000..23e3776b1a --- /dev/null +++ b/dev/mypy-check @@ -0,0 +1,7 @@ +#!/bin/bash + +set -x + +# run mypy checks +uv run --directory api --dev \ + python -m mypy --install-types --non-interactive . diff --git a/dev/pytest/pytest_all_tests.sh b/dev/pytest/pytest_all_tests.sh index c4318fb922..f0c8a78548 100755 --- a/dev/pytest/pytest_all_tests.sh +++ b/dev/pytest/pytest_all_tests.sh @@ -11,4 +11,4 @@ dev/pytest/pytest_tools.sh dev/pytest/pytest_workflow.sh # Unit tests -dev/pytest/pytest_unit_tests.sh \ No newline at end of file +dev/pytest/pytest_unit_tests.sh diff --git a/dev/pytest/pytest_model_runtime.sh b/dev/pytest/pytest_model_runtime.sh index 63891eb9f8..dc6c6ac627 100755 --- a/dev/pytest/pytest_model_runtime.sh +++ b/dev/pytest/pytest_model_runtime.sh @@ -10,4 +10,4 @@ pytest api/tests/integration_tests/model_runtime/anthropic \ api/tests/integration_tests/model_runtime/fireworks \ api/tests/integration_tests/model_runtime/nomic \ api/tests/integration_tests/model_runtime/mixedbread \ - api/tests/integration_tests/model_runtime/voyage \ No newline at end of file + api/tests/integration_tests/model_runtime/voyage diff --git a/dev/pytest/pytest_vdb.sh b/dev/pytest/pytest_vdb.sh index c68a94c79b..dd03ca3514 100755 --- a/dev/pytest/pytest_vdb.sh +++ b/dev/pytest/pytest_vdb.sh @@ -15,3 +15,4 @@ pytest api/tests/integration_tests/vdb/chroma \ api/tests/integration_tests/vdb/couchbase \ api/tests/integration_tests/vdb/oceanbase \ api/tests/integration_tests/vdb/tidb_vector \ + api/tests/integration_tests/vdb/huawei \ diff --git a/dev/reformat b/dev/reformat index daab538951..53d7703fce 100755 --- a/dev/reformat +++ b/dev/reformat @@ -2,20 +2,14 @@ set -x -# style checks rely on commands in path -if ! command -v ruff &> /dev/null || ! command -v dotenv-linter &> /dev/null; then - echo "Installing linting tools (Ruff, dotenv-linter ...) ..." - poetry install -C api --only lint -fi - # run ruff linter -poetry run -C api ruff check --fix ./ +uv run --directory api --dev ruff check --fix ./ # run ruff formatter -poetry run -C api ruff format ./ +uv run --directory api --dev ruff format ./ # run dotenv-linter linter -poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example +uv run --project api --dev dotenv-linter ./api/.env.example ./web/.env.example # run mypy check -dev/run-mypy +dev/mypy-check diff --git a/dev/run-mypy b/dev/run-mypy deleted file mode 100755 index cdbbef515d..0000000000 --- a/dev/run-mypy +++ /dev/null @@ -1,11 +0,0 @@ -#!/bin/bash - -set -x - -if ! command -v mypy &> /dev/null; then - poetry install -C api --with dev -fi - -# run mypy checks -poetry run -C api \ - python -m mypy --install-types --non-interactive . diff --git a/dev/sync-poetry b/dev/sync-poetry deleted file mode 100755 index 766382da01..0000000000 --- a/dev/sync-poetry +++ /dev/null @@ -1,18 +0,0 @@ -#!/bin/bash - -# rely on `poetry` in path -if ! command -v poetry &> /dev/null; then - echo "Installing Poetry ..." - pip install poetry -fi - -# check poetry.lock in sync with pyproject.toml -poetry check -C api --lock -if [ $? -ne 0 ]; then - # update poetry.lock - # refreshing lockfile only without updating locked versions - echo "poetry.lock is outdated, refreshing without updating locked versions ..." - poetry lock -C api -else - echo "poetry.lock is ready." -fi diff --git a/dev/sync-uv b/dev/sync-uv new file mode 100755 index 0000000000..7bc3bb22be --- /dev/null +++ b/dev/sync-uv @@ -0,0 +1,10 @@ +#!/bin/bash + +# rely on `uv` in path +if ! command -v uv &> /dev/null; then + echo "Installing uv ..." + pip install uv +fi + +# check uv.lock in sync with pyproject.toml +uv lock --project api diff --git a/dev/update-poetry b/dev/update-poetry deleted file mode 100755 index 362a5895b1..0000000000 --- a/dev/update-poetry +++ /dev/null @@ -1,13 +0,0 @@ -#!/bin/bash - -# rely on `poetry` in path -if ! command -v poetry &> /dev/null; then - echo "Installing Poetry ..." - pip install poetry -fi - -# refreshing lockfile, updating locked versions -poetry update -C api - -# check poetry.lock in sync with pyproject.toml -poetry check -C api --lock diff --git a/dev/update-uv b/dev/update-uv new file mode 100755 index 0000000000..189bd1f6b1 --- /dev/null +++ b/dev/update-uv @@ -0,0 +1,22 @@ +#!/bin/bash + +# Update dependencies in dify/api project using uv +set -e +set -o pipefail + +SCRIPT_DIR="$(dirname "$0")" +REPO_ROOT="$(dirname "${SCRIPT_DIR}")" + +# rely on `poetry` in path +if ! command -v uv &> /dev/null; then + echo "Installing uv ..." + pip install uv +fi + +cd "${REPO_ROOT}" + +# refreshing lockfile, updating locked versions +uv lock --project api --upgrade + +# check uv.lock in sync with pyproject.toml +uv lock --project api --check diff --git a/docker/.env.example b/docker/.env.example index 84da4f3df5..7bff2975fb 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -39,6 +39,12 @@ APP_WEB_URL= # File preview or download Url prefix. # used to display File preview or download Url to the front-end or as Multi-model inputs; # Url is signed and has expiration time. +# Setting FILES_URL is required for file processing plugins. +# - For https://example.com, use FILES_URL=https://example.com +# - For http://example.com, use FILES_URL=http://example.com +# Recommendation: use a dedicated domain (e.g., https://upload.example.com). +# Alternatively, use http://:5001 or http://api:5001, +# ensuring port 5001 is externally accessible (see docker-compose.yaml). FILES_URL= # ------------------------------ @@ -174,6 +180,12 @@ CELERY_MIN_WORKERS= API_TOOL_DEFAULT_CONNECT_TIMEOUT=10 API_TOOL_DEFAULT_READ_TIMEOUT=60 +# ------------------------------- +# Datasource Configuration +# -------------------------------- +ENABLE_WEBSITE_JINAREADER=true +ENABLE_WEBSITE_FIRECRAWL=true +ENABLE_WEBSITE_WATERCRAWL=true # ------------------------------ # Database Configuration @@ -400,10 +412,12 @@ QDRANT_GRPC_PORT=6334 # Milvus configuration. Only available when VECTOR_STORE is `milvus`. # The milvus uri. MILVUS_URI=http://host.docker.internal:19530 +MILVUS_DATABASE= MILVUS_TOKEN= MILVUS_USER= MILVUS_PASSWORD= MILVUS_ENABLE_HYBRID_SEARCH=False +MILVUS_ANALYZER_PARAMS= # MyScale configuration, only available when VECTOR_STORE is `myscale` # For multi-language support, please set MYSCALE_FTS_PARAMS with referring to: @@ -434,6 +448,15 @@ PGVECTOR_MAX_CONNECTION=5 PGVECTOR_PG_BIGM=false PGVECTOR_PG_BIGM_VERSION=1.2-20240606 +# vastbase configurations, only available when VECTOR_STORE is `vastbase` +VASTBASE_HOST=vastbase +VASTBASE_PORT=5432 +VASTBASE_USER=dify +VASTBASE_PASSWORD=Difyai123456 +VASTBASE_DATABASE=dify +VASTBASE_MIN_CONNECTION=1 +VASTBASE_MAX_CONNECTION=5 + # pgvecto-rs configurations, only available when VECTOR_STORE is `pgvecto-rs` PGVECTO_RS_HOST=pgvecto-rs PGVECTO_RS_PORT=5432 @@ -503,9 +526,13 @@ RELYT_DATABASE=postgres # open search configuration, only available when VECTOR_STORE is `opensearch` OPENSEARCH_HOST=opensearch OPENSEARCH_PORT=9200 +OPENSEARCH_SECURE=true +OPENSEARCH_AUTH_METHOD=basic OPENSEARCH_USER=admin OPENSEARCH_PASSWORD=admin -OPENSEARCH_SECURE=true +# If using AWS managed IAM, e.g. Managed Cluster or OpenSearch Serverless +OPENSEARCH_AWS_REGION=ap-southeast-1 +OPENSEARCH_AWS_SERVICE=aoss # tencent vector configurations, only available when VECTOR_STORE is `tencent` TENCENT_VECTOR_DB_URL=http://127.0.0.1 @@ -546,6 +573,7 @@ VIKINGDB_SOCKET_TIMEOUT=30 LINDORM_URL=http://lindorm:30070 LINDORM_USERNAME=lindorm LINDORM_PASSWORD=lindorm +LINDORM_QUERY_TIMEOUT=1 # OceanBase Vector configuration, only available when VECTOR_STORE is `oceanbase` OCEANBASE_VECTOR_HOST=oceanbase @@ -567,6 +595,11 @@ OPENGAUSS_MIN_CONNECTION=1 OPENGAUSS_MAX_CONNECTION=5 OPENGAUSS_ENABLE_PQ=false +# huawei cloud search service vector configurations, only available when VECTOR_STORE is `huawei_cloud` +HUAWEI_CLOUD_HOSTS=https://127.0.0.1:9200 +HUAWEI_CLOUD_USER=admin +HUAWEI_CLOUD_PASSWORD=admin + # Upstash Vector configuration, only available when VECTOR_STORE is `upstash` UPSTASH_VECTOR_URL=https://xxx-vector.upstash.io UPSTASH_VECTOR_TOKEN=dify @@ -737,6 +770,12 @@ MAX_VARIABLE_SIZE=204800 WORKFLOW_PARALLEL_DEPTH_LIMIT=3 WORKFLOW_FILE_UPLOAD_LIMIT=10 +# Workflow storage configuration +# Options: rdbms, hybrid +# rdbms: Use only the relational database (default) +# hybrid: Save new data to object storage, read from both object storage and RDBMS +WORKFLOW_NODE_EXECUTION_STORAGE=rdbms + # HTTP request node in workflow configuration HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 @@ -1035,3 +1074,21 @@ PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= PLUGIN_TENCENT_COS_SECRET_KEY= PLUGIN_TENCENT_COS_SECRET_ID= PLUGIN_TENCENT_COS_REGION= + +# ------------------------------ +# OTLP Collector Configuration +# ------------------------------ +ENABLE_OTEL=false +OTLP_BASE_ENDPOINT=http://localhost:4318 +OTLP_API_KEY= +OTEL_EXPORTER_TYPE=otlp +OTEL_SAMPLING_RATE=0.1 +OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000 +OTEL_MAX_QUEUE_SIZE=2048 +OTEL_MAX_EXPORT_BATCH_SIZE=512 +OTEL_METRIC_EXPORT_INTERVAL=60000 +OTEL_BATCH_EXPORT_TIMEOUT=10000 +OTEL_METRIC_EXPORT_TIMEOUT=30000 + +# Prevent Clickjacking +ALLOW_EMBED=false diff --git a/docker/README.md b/docker/README.md index b21d18ce83..22dfe2c91c 100644 --- a/docker/README.md +++ b/docker/README.md @@ -14,7 +14,6 @@ Welcome to the new `docker` directory for deploying Dify using Docker Compose. T - **Unified Vector Database Services**: All vector database services are now managed from a single Docker Compose file `docker-compose.yaml`. You can switch between different vector databases by setting the `VECTOR_STORE` environment variable in your `.env` file. - **Mandatory .env File**: A `.env` file is now required to run `docker compose up`. This file is crucial for configuring your deployment and for any custom settings to persist through upgrades. -- **Legacy Support**: Previous deployment files are now located in the `docker-legacy` directory and will no longer be maintained. ### How to Deploy Dify with `docker-compose.yaml` @@ -28,6 +27,9 @@ Welcome to the new `docker` directory for deploying Dify using Docker Compose. T - To specify a vector database, set the `VECTOR_STORE` variable in your `.env` file to your desired vector database service, such as `milvus`, `weaviate`, or `opensearch`. 4. **SSL Certificate Setup**: - Refer `docker/certbot/README.md` to set up SSL certificates using Certbot. +5. **OpenTelemetry Collector Setup**: + - Change `ENABLE_OTEL` to `true` in `.env`. + - Configure `OTLP_BASE_ENDPOINT` properly. ### How to Deploy Middleware for Developing Dify @@ -89,7 +91,11 @@ The `.env.example` file provided in the Docker setup is extensive and covers a w 8. **CORS Configuration**: - `WEB_API_CORS_ALLOW_ORIGINS`, `CONSOLE_CORS_ALLOW_ORIGINS`: Settings for cross-origin resource sharing. -9. **Other Service-Specific Environment Variables**: +9. **OpenTelemetry Configuration**: + - `ENABLE_OTEL`: Enable OpenTelemetry collector in api. + - `OTLP_BASE_ENDPOINT`: Endpoint for your OTLP exporter. + +10. **Other Service-Specific Environment Variables**: - Each service like `nginx`, `redis`, `db`, and vector databases have specific environment variables that are directly referenced in the `docker-compose.yaml`. ### Additional Information diff --git a/docker/couchbase-server/Dockerfile b/docker/couchbase-server/Dockerfile index bd8af64150..23e487e4ed 100644 --- a/docker/couchbase-server/Dockerfile +++ b/docker/couchbase-server/Dockerfile @@ -1,4 +1,4 @@ FROM couchbase/server:latest AS stage_base -# FROM couchbase:latest AS stage_base +# FROM couchbase:latest AS stage_base COPY init-cbserver.sh /opt/couchbase/init/ -RUN chmod +x /opt/couchbase/init/init-cbserver.sh \ No newline at end of file +RUN chmod +x /opt/couchbase/init/init-cbserver.sh diff --git a/docker/couchbase-server/init-cbserver.sh b/docker/couchbase-server/init-cbserver.sh index e66bc18530..e19a650f23 100755 --- a/docker/couchbase-server/init-cbserver.sh +++ b/docker/couchbase-server/init-cbserver.sh @@ -1,8 +1,8 @@ #!/bin/bash -# used to start couchbase server - can't get around this as docker compose only allows you to start one command - so we have to start couchbase like the standard couchbase Dockerfile would +# used to start couchbase server - can't get around this as docker compose only allows you to start one command - so we have to start couchbase like the standard couchbase Dockerfile would # https://github.com/couchbase/docker/blob/master/enterprise/couchbase-server/7.2.0/Dockerfile#L88 -/entrypoint.sh couchbase-server & +/entrypoint.sh couchbase-server & # track if setup is complete so we don't try to setup again FILE=/opt/couchbase/init/setupComplete.txt @@ -36,9 +36,9 @@ if ! [ -f "$FILE" ]; then --bucket-ramsize $COUCHBASE_BUCKET_RAMSIZE \ --bucket-type couchbase - # create file so we know that the cluster is setup and don't run the setup again + # create file so we know that the cluster is setup and don't run the setup again touch $FILE -fi +fi # docker compose will stop the container from running unless we do this # known issue and workaround tail -f /dev/null diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml index ef58bf99f3..bfbfe6c19a 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:1.2.0 + image: langgenius/dify-api:1.3.1 restart: always environment: # Use the shared environment variables. @@ -17,8 +17,10 @@ services: PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - - db - - redis + db: + condition: service_healthy + redis: + condition: service_started volumes: # Mount the storage directory to the container, for storing user files. - ./volumes/app/storage:/app/api/storage @@ -29,7 +31,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.2.0 + image: langgenius/dify-api:1.3.1 restart: always environment: # Use the shared environment variables. @@ -42,8 +44,10 @@ services: PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - - db - - redis + db: + condition: service_healthy + redis: + condition: service_started volumes: # Mount the storage directory to the container, for storing user files. - ./volumes/app/storage:/app/api/storage @@ -53,7 +57,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.2.0 + image: langgenius/dify-web:1.3.1 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -62,6 +66,7 @@ services: NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} CSP_WHITELIST: ${CSP_WHITELIST:-} + ALLOW_EMBED: ${ALLOW_EMBED:-false} MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai} MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai} TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-} @@ -71,7 +76,9 @@ services: MAX_TOOLS_NUM: ${MAX_TOOLS_NUM:-10} MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-5} - + ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true} + ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true} + ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true} # The postgres database. db: image: postgres:15-alpine @@ -90,10 +97,10 @@ services: volumes: - ./volumes/db/data:/var/lib/postgresql/data healthcheck: - test: [ 'CMD', 'pg_isready' ] + test: [ 'CMD', 'pg_isready', '-h', 'db', '-U', '${PGUSER:-postgres}', '-d', '${POSTGRES_DB:-dify}' ] interval: 1s timeout: 3s - retries: 30 + retries: 60 # The redis cache. redis: @@ -124,6 +131,7 @@ services: HTTP_PROXY: ${SANDBOX_HTTP_PROXY:-http://ssrf_proxy:3128} HTTPS_PROXY: ${SANDBOX_HTTPS_PROXY:-http://ssrf_proxy:3128} SANDBOX_PORT: ${SANDBOX_PORT:-8194} + PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} volumes: - ./volumes/sandbox/dependencies:/dependencies - ./volumes/sandbox/conf:/conf @@ -134,7 +142,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.7-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always environment: # Use the shared environment variables. @@ -163,7 +171,7 @@ services: S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_KEY:-} - PAWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} + AWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} AWS_REGION: ${PLUGIN_AWS_REGION:-} AZURE_BLOB_STORAGE_CONNECTION_STRING: ${PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING:-} AZURE_BLOB_STORAGE_CONTAINER_NAME: ${PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME:-} @@ -175,7 +183,8 @@ services: volumes: - ./volumes/plugin_daemon:/app/storage depends_on: - - db + db: + condition: service_healthy # ssrf_proxy server # for more information, please refer to @@ -354,6 +363,30 @@ services: timeout: 3s retries: 30 + # get image from https://www.vastdata.com.cn/ + vastbase: + image: vastdata/vastbase-vector + profiles: + - vastbase + restart: always + environment: + - VB_DBCOMPATIBILITY=PG + - VB_DB=dify + - VB_USERNAME=dify + - VB_PASSWORD=Difyai123456 + ports: + - '5434:5432' + volumes: + - ./vastbase/lic:/home/vastbase/vastbase/lic + - ./vastbase/data:/home/vastbase/data + - ./vastbase/backup:/home/vastbase/backup + - ./vastbase/backup_log:/home/vastbase/backup_log + healthcheck: + test: [ 'CMD', 'pg_isready' ] + interval: 1s + timeout: 3s + retries: 30 + # pgvecto-rs vector store pgvecto-rs: image: tensorchord/pgvecto-rs:pg16-v0.3.0 @@ -544,7 +577,7 @@ services: volumes: - ./volumes/opengauss/data:/var/lib/opengauss/data healthcheck: - test: ["CMD-SHELL", "netstat -lntp | grep tcp6 > /dev/null 2>&1"] + test: [ "CMD-SHELL", "netstat -lntp | grep tcp6 > /dev/null 2>&1" ] interval: 10s timeout: 10s retries: 10 diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml index bfd2354314..01c7573a95 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -60,6 +60,7 @@ services: HTTP_PROXY: ${SANDBOX_HTTP_PROXY:-http://ssrf_proxy:3128} HTTPS_PROXY: ${SANDBOX_HTTPS_PROXY:-http://ssrf_proxy:3128} SANDBOX_PORT: ${SANDBOX_PORT:-8194} + PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} volumes: - ./volumes/sandbox/dependencies:/dependencies - ./volumes/sandbox/conf:/conf @@ -70,7 +71,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.7-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always env_file: - ./middleware.env @@ -107,7 +108,7 @@ services: S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_KEY:-} - PAWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} + AWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} AWS_REGION: ${PLUGIN_AWS_REGION:-} AZURE_BLOB_STORAGE_CONNECTION_STRING: ${PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING:-} AZURE_BLOB_STORAGE_CONTAINER_NAME: ${PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME:-} diff --git a/docker/docker-compose.png b/docker/docker-compose.png index bdac113086..015d450236 100644 Binary files a/docker/docker-compose.png and b/docker/docker-compose.png differ diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 0068dc0c58..3ed0f60e96 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -43,6 +43,9 @@ x-shared-env: &shared-api-worker-env CELERY_MIN_WORKERS: ${CELERY_MIN_WORKERS:-} API_TOOL_DEFAULT_CONNECT_TIMEOUT: ${API_TOOL_DEFAULT_CONNECT_TIMEOUT:-10} API_TOOL_DEFAULT_READ_TIMEOUT: ${API_TOOL_DEFAULT_READ_TIMEOUT:-60} + ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true} + ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true} + ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true} DB_USERNAME: ${DB_USERNAME:-postgres} DB_PASSWORD: ${DB_PASSWORD:-difyai123456} DB_HOST: ${DB_HOST:-db} @@ -135,10 +138,12 @@ x-shared-env: &shared-api-worker-env QDRANT_GRPC_ENABLED: ${QDRANT_GRPC_ENABLED:-false} QDRANT_GRPC_PORT: ${QDRANT_GRPC_PORT:-6334} MILVUS_URI: ${MILVUS_URI:-http://host.docker.internal:19530} + MILVUS_DATABASE: ${MILVUS_DATABASE:-} MILVUS_TOKEN: ${MILVUS_TOKEN:-} MILVUS_USER: ${MILVUS_USER:-} MILVUS_PASSWORD: ${MILVUS_PASSWORD:-} MILVUS_ENABLE_HYBRID_SEARCH: ${MILVUS_ENABLE_HYBRID_SEARCH:-False} + MILVUS_ANALYZER_PARAMS: ${MILVUS_ANALYZER_PARAMS:-} MYSCALE_HOST: ${MYSCALE_HOST:-myscale} MYSCALE_PORT: ${MYSCALE_PORT:-8123} MYSCALE_USER: ${MYSCALE_USER:-default} @@ -159,6 +164,13 @@ x-shared-env: &shared-api-worker-env PGVECTOR_MAX_CONNECTION: ${PGVECTOR_MAX_CONNECTION:-5} PGVECTOR_PG_BIGM: ${PGVECTOR_PG_BIGM:-false} PGVECTOR_PG_BIGM_VERSION: ${PGVECTOR_PG_BIGM_VERSION:-1.2-20240606} + VASTBASE_HOST: ${VASTBASE_HOST:-vastbase} + VASTBASE_PORT: ${VASTBASE_PORT:-5432} + VASTBASE_USER: ${VASTBASE_USER:-dify} + VASTBASE_PASSWORD: ${VASTBASE_PASSWORD:-Difyai123456} + VASTBASE_DATABASE: ${VASTBASE_DATABASE:-dify} + VASTBASE_MIN_CONNECTION: ${VASTBASE_MIN_CONNECTION:-1} + VASTBASE_MAX_CONNECTION: ${VASTBASE_MAX_CONNECTION:-5} PGVECTO_RS_HOST: ${PGVECTO_RS_HOST:-pgvecto-rs} PGVECTO_RS_PORT: ${PGVECTO_RS_PORT:-5432} PGVECTO_RS_USER: ${PGVECTO_RS_USER:-postgres} @@ -213,9 +225,12 @@ x-shared-env: &shared-api-worker-env RELYT_DATABASE: ${RELYT_DATABASE:-postgres} OPENSEARCH_HOST: ${OPENSEARCH_HOST:-opensearch} OPENSEARCH_PORT: ${OPENSEARCH_PORT:-9200} + OPENSEARCH_SECURE: ${OPENSEARCH_SECURE:-true} + OPENSEARCH_AUTH_METHOD: ${OPENSEARCH_AUTH_METHOD:-basic} OPENSEARCH_USER: ${OPENSEARCH_USER:-admin} OPENSEARCH_PASSWORD: ${OPENSEARCH_PASSWORD:-admin} - OPENSEARCH_SECURE: ${OPENSEARCH_SECURE:-true} + OPENSEARCH_AWS_REGION: ${OPENSEARCH_AWS_REGION:-ap-southeast-1} + OPENSEARCH_AWS_SERVICE: ${OPENSEARCH_AWS_SERVICE:-aoss} TENCENT_VECTOR_DB_URL: ${TENCENT_VECTOR_DB_URL:-http://127.0.0.1} TENCENT_VECTOR_DB_API_KEY: ${TENCENT_VECTOR_DB_API_KEY:-dify} TENCENT_VECTOR_DB_TIMEOUT: ${TENCENT_VECTOR_DB_TIMEOUT:-30} @@ -246,6 +261,7 @@ x-shared-env: &shared-api-worker-env LINDORM_URL: ${LINDORM_URL:-http://lindorm:30070} LINDORM_USERNAME: ${LINDORM_USERNAME:-lindorm} LINDORM_PASSWORD: ${LINDORM_PASSWORD:-lindorm} + LINDORM_QUERY_TIMEOUT: ${LINDORM_QUERY_TIMEOUT:-1} OCEANBASE_VECTOR_HOST: ${OCEANBASE_VECTOR_HOST:-oceanbase} OCEANBASE_VECTOR_PORT: ${OCEANBASE_VECTOR_PORT:-2881} OCEANBASE_VECTOR_USER: ${OCEANBASE_VECTOR_USER:-root@test} @@ -262,6 +278,9 @@ x-shared-env: &shared-api-worker-env OPENGAUSS_MIN_CONNECTION: ${OPENGAUSS_MIN_CONNECTION:-1} OPENGAUSS_MAX_CONNECTION: ${OPENGAUSS_MAX_CONNECTION:-5} OPENGAUSS_ENABLE_PQ: ${OPENGAUSS_ENABLE_PQ:-false} + HUAWEI_CLOUD_HOSTS: ${HUAWEI_CLOUD_HOSTS:-https://127.0.0.1:9200} + HUAWEI_CLOUD_USER: ${HUAWEI_CLOUD_USER:-admin} + HUAWEI_CLOUD_PASSWORD: ${HUAWEI_CLOUD_PASSWORD:-admin} UPSTASH_VECTOR_URL: ${UPSTASH_VECTOR_URL:-https://xxx-vector.upstash.io} UPSTASH_VECTOR_TOKEN: ${UPSTASH_VECTOR_TOKEN:-dify} TABLESTORE_ENDPOINT: ${TABLESTORE_ENDPOINT:-https://instance-name.cn-hangzhou.ots.aliyuncs.com} @@ -323,6 +342,7 @@ x-shared-env: &shared-api-worker-env MAX_VARIABLE_SIZE: ${MAX_VARIABLE_SIZE:-204800} WORKFLOW_PARALLEL_DEPTH_LIMIT: ${WORKFLOW_PARALLEL_DEPTH_LIMIT:-3} WORKFLOW_FILE_UPLOAD_LIMIT: ${WORKFLOW_FILE_UPLOAD_LIMIT:-10} + WORKFLOW_NODE_EXECUTION_STORAGE: ${WORKFLOW_NODE_EXECUTION_STORAGE:-rdbms} HTTP_REQUEST_NODE_MAX_BINARY_SIZE: ${HTTP_REQUEST_NODE_MAX_BINARY_SIZE:-10485760} HTTP_REQUEST_NODE_MAX_TEXT_SIZE: ${HTTP_REQUEST_NODE_MAX_TEXT_SIZE:-1048576} HTTP_REQUEST_NODE_SSL_VERIFY: ${HTTP_REQUEST_NODE_SSL_VERIFY:-True} @@ -455,11 +475,23 @@ 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:-} + ENABLE_OTEL: ${ENABLE_OTEL:-false} + OTLP_BASE_ENDPOINT: ${OTLP_BASE_ENDPOINT:-http://localhost:4318} + OTLP_API_KEY: ${OTLP_API_KEY:-} + OTEL_EXPORTER_TYPE: ${OTEL_EXPORTER_TYPE:-otlp} + OTEL_SAMPLING_RATE: ${OTEL_SAMPLING_RATE:-0.1} + OTEL_BATCH_EXPORT_SCHEDULE_DELAY: ${OTEL_BATCH_EXPORT_SCHEDULE_DELAY:-5000} + OTEL_MAX_QUEUE_SIZE: ${OTEL_MAX_QUEUE_SIZE:-2048} + OTEL_MAX_EXPORT_BATCH_SIZE: ${OTEL_MAX_EXPORT_BATCH_SIZE:-512} + OTEL_METRIC_EXPORT_INTERVAL: ${OTEL_METRIC_EXPORT_INTERVAL:-60000} + OTEL_BATCH_EXPORT_TIMEOUT: ${OTEL_BATCH_EXPORT_TIMEOUT:-10000} + OTEL_METRIC_EXPORT_TIMEOUT: ${OTEL_METRIC_EXPORT_TIMEOUT:-30000} + ALLOW_EMBED: ${ALLOW_EMBED:-false} services: # API service api: - image: langgenius/dify-api:1.2.0 + image: langgenius/dify-api:1.3.1 restart: always environment: # Use the shared environment variables. @@ -474,8 +506,10 @@ services: PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - - db - - redis + db: + condition: service_healthy + redis: + condition: service_started volumes: # Mount the storage directory to the container, for storing user files. - ./volumes/app/storage:/app/api/storage @@ -486,7 +520,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.2.0 + image: langgenius/dify-api:1.3.1 restart: always environment: # Use the shared environment variables. @@ -499,8 +533,10 @@ services: PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - - db - - redis + db: + condition: service_healthy + redis: + condition: service_started volumes: # Mount the storage directory to the container, for storing user files. - ./volumes/app/storage:/app/api/storage @@ -510,7 +546,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.2.0 + image: langgenius/dify-web:1.3.1 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -519,6 +555,7 @@ services: NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} CSP_WHITELIST: ${CSP_WHITELIST:-} + ALLOW_EMBED: ${ALLOW_EMBED:-false} MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai} MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai} TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-} @@ -528,7 +565,9 @@ services: MAX_TOOLS_NUM: ${MAX_TOOLS_NUM:-10} MAX_PARALLEL_LIMIT: ${MAX_PARALLEL_LIMIT:-10} MAX_ITERATIONS_NUM: ${MAX_ITERATIONS_NUM:-5} - + ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true} + ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true} + ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true} # The postgres database. db: image: postgres:15-alpine @@ -547,10 +586,10 @@ services: volumes: - ./volumes/db/data:/var/lib/postgresql/data healthcheck: - test: [ 'CMD', 'pg_isready' ] + test: [ 'CMD', 'pg_isready', '-h', 'db', '-U', '${PGUSER:-postgres}', '-d', '${POSTGRES_DB:-dify}' ] interval: 1s timeout: 3s - retries: 30 + retries: 60 # The redis cache. redis: @@ -581,6 +620,7 @@ services: HTTP_PROXY: ${SANDBOX_HTTP_PROXY:-http://ssrf_proxy:3128} HTTPS_PROXY: ${SANDBOX_HTTPS_PROXY:-http://ssrf_proxy:3128} SANDBOX_PORT: ${SANDBOX_PORT:-8194} + PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} volumes: - ./volumes/sandbox/dependencies:/dependencies - ./volumes/sandbox/conf:/conf @@ -591,7 +631,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.7-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always environment: # Use the shared environment variables. @@ -620,7 +660,7 @@ services: S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_KEY:-} - PAWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} + AWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} AWS_REGION: ${PLUGIN_AWS_REGION:-} AZURE_BLOB_STORAGE_CONNECTION_STRING: ${PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING:-} AZURE_BLOB_STORAGE_CONTAINER_NAME: ${PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME:-} @@ -632,7 +672,8 @@ services: volumes: - ./volumes/plugin_daemon:/app/storage depends_on: - - db + db: + condition: service_healthy # ssrf_proxy server # for more information, please refer to @@ -811,6 +852,30 @@ services: timeout: 3s retries: 30 + # get image from https://www.vastdata.com.cn/ + vastbase: + image: vastdata/vastbase-vector + profiles: + - vastbase + restart: always + environment: + - VB_DBCOMPATIBILITY=PG + - VB_DB=dify + - VB_USERNAME=dify + - VB_PASSWORD=Difyai123456 + ports: + - '5434:5432' + volumes: + - ./vastbase/lic:/home/vastbase/vastbase/lic + - ./vastbase/data:/home/vastbase/data + - ./vastbase/backup:/home/vastbase/backup + - ./vastbase/backup_log:/home/vastbase/backup_log + healthcheck: + test: [ 'CMD', 'pg_isready' ] + interval: 1s + timeout: 3s + retries: 30 + # pgvecto-rs vector store pgvecto-rs: image: tensorchord/pgvecto-rs:pg16-v0.3.0 @@ -1001,7 +1066,7 @@ services: volumes: - ./volumes/opengauss/data:/var/lib/opengauss/data healthcheck: - test: ["CMD-SHELL", "netstat -lntp | grep tcp6 > /dev/null 2>&1"] + test: [ "CMD-SHELL", "netstat -lntp | grep tcp6 > /dev/null 2>&1" ] interval: 10s timeout: 10s retries: 10 diff --git a/docker/middleware.env.example b/docker/middleware.env.example index 1a4484a9b5..2ac09ea264 100644 --- a/docker/middleware.env.example +++ b/docker/middleware.env.example @@ -144,4 +144,4 @@ PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= # Plugin oss tencent cos PLUGIN_TENCENT_COS_SECRET_KEY= PLUGIN_TENCENT_COS_SECRET_ID= -PLUGIN_TENCENT_COS_REGION= \ No newline at end of file +PLUGIN_TENCENT_COS_REGION= diff --git a/docker/nginx/docker-entrypoint.sh b/docker/nginx/docker-entrypoint.sh index 8e1110ffa9..763254e37b 100755 --- a/docker/nginx/docker-entrypoint.sh +++ b/docker/nginx/docker-entrypoint.sh @@ -39,4 +39,4 @@ envsubst "$env_vars" < /etc/nginx/proxy.conf.template > /etc/nginx/proxy.conf envsubst "$env_vars" < /etc/nginx/conf.d/default.conf.template > /etc/nginx/conf.d/default.conf # Start Nginx using the default entrypoint -exec nginx -g 'daemon off;' \ No newline at end of file +exec nginx -g 'daemon off;' diff --git a/docker/nginx/https.conf.template b/docker/nginx/https.conf.template index 95ea36f463..296908d8be 100644 --- a/docker/nginx/https.conf.template +++ b/docker/nginx/https.conf.template @@ -6,4 +6,4 @@ ssl_certificate_key ${SSL_CERTIFICATE_KEY_PATH}; ssl_protocols ${NGINX_SSL_PROTOCOLS}; ssl_prefer_server_ciphers on; ssl_session_cache shared:SSL:10m; -ssl_session_timeout 10m; \ No newline at end of file +ssl_session_timeout 10m; diff --git a/docker/nginx/nginx.conf.template b/docker/nginx/nginx.conf.template index 32a571653e..20446fae2e 100644 --- a/docker/nginx/nginx.conf.template +++ b/docker/nginx/nginx.conf.template @@ -31,4 +31,4 @@ http { client_max_body_size ${NGINX_CLIENT_MAX_BODY_SIZE}; include /etc/nginx/conf.d/*.conf; -} \ No newline at end of file +} diff --git a/docker/ssrf_proxy/squid.conf.template b/docker/ssrf_proxy/squid.conf.template index c74c1fb67b..1775a1fff9 100644 --- a/docker/ssrf_proxy/squid.conf.template +++ b/docker/ssrf_proxy/squid.conf.template @@ -44,7 +44,7 @@ refresh_pattern . 0 20% 4320 # cache_dir ufs /var/spool/squid 100 16 256 # upstream proxy, set to your own upstream proxy IP to avoid SSRF attacks -# cache_peer 172.1.1.1 parent 3128 0 no-query no-digest no-netdb-exchange default +# cache_peer 172.1.1.1 parent 3128 0 no-query no-digest no-netdb-exchange default ################################## Reverse Proxy To Sandbox ################################ http_port ${REVERSE_PROXY_PORT} accel vhost @@ -53,4 +53,4 @@ acl src_all src all http_access allow src_all # Unless the option's size is increased, an error will occur when uploading more than two files. -client_request_buffer_max_size 100 MB \ No newline at end of file +client_request_buffer_max_size 100 MB diff --git a/docker/startupscripts/init.sh b/docker/startupscripts/init.sh index c6e6e1966f..dcee1e1978 100755 --- a/docker/startupscripts/init.sh +++ b/docker/startupscripts/init.sh @@ -8,6 +8,6 @@ if [ -f ${DB_INITIALIZED} ]; then exit else echo 'File does not exist. Standards for first time Start up this DB' - "$ORACLE_HOME"/bin/sqlplus -s "/ as sysdba" @"/opt/oracle/scripts/startup/init_user.script"; + "$ORACLE_HOME"/bin/sqlplus -s "/ as sysdba" @"/opt/oracle/scripts/startup/init_user.script"; touch ${DB_INITIALIZED} fi diff --git a/docker/startupscripts/init_user.script b/docker/startupscripts/init_user.script index 0c5bff1ef6..e710d827e8 100755 --- a/docker/startupscripts/init_user.script +++ b/docker/startupscripts/init_user.script @@ -1,5 +1,5 @@ show pdbs; -ALTER SYSTEM SET PROCESSES=500 SCOPE=SPFILE; +ALTER SYSTEM SET PROCESSES=500 SCOPE=SPFILE; alter session set container= freepdb1; create user dify identified by dify DEFAULT TABLESPACE users quota unlimited on users; grant DB_DEVELOPER_ROLE to dify; diff --git a/docker/tidb/config/pd.toml b/docker/tidb/config/pd.toml index 042b251e46..01e352a86a 100644 --- a/docker/tidb/config/pd.toml +++ b/docker/tidb/config/pd.toml @@ -1,4 +1,4 @@ # PD Configuration File reference: # https://docs.pingcap.com/tidb/stable/pd-configuration-file#pd-configuration-file [replication] -max-replicas = 1 \ No newline at end of file +max-replicas = 1 diff --git a/docker/volumes/myscale/config/users.d/custom_users_config.xml b/docker/volumes/myscale/config/users.d/custom_users_config.xml index 67f24b69ee..b46e73a0e9 100644 --- a/docker/volumes/myscale/config/users.d/custom_users_config.xml +++ b/docker/volumes/myscale/config/users.d/custom_users_config.xml @@ -14,4 +14,4 @@ 1 - \ No newline at end of file + diff --git a/docker/volumes/oceanbase/init.d/vec_memory.sql b/docker/volumes/oceanbase/init.d/vec_memory.sql index f4c283fdf4..0d859e5f7c 100644 --- a/docker/volumes/oceanbase/init.d/vec_memory.sql +++ b/docker/volumes/oceanbase/init.d/vec_memory.sql @@ -1 +1 @@ -ALTER SYSTEM SET ob_vector_memory_limit_percentage = 30; \ No newline at end of file +ALTER SYSTEM SET ob_vector_memory_limit_percentage = 30; diff --git a/sdks/nodejs-client/.gitignore b/sdks/nodejs-client/.gitignore index 35d1a1461b..1d40ff2ece 100644 --- a/sdks/nodejs-client/.gitignore +++ b/sdks/nodejs-client/.gitignore @@ -45,4 +45,4 @@ package-lock.json .yarnrc.yml # pmpm -pnpm-lock.yaml \ No newline at end of file +pnpm-lock.yaml diff --git a/sdks/nodejs-client/index.d.ts b/sdks/nodejs-client/index.d.ts index a2e6e50aef..a8b7497f4f 100644 --- a/sdks/nodejs-client/index.d.ts +++ b/sdks/nodejs-client/index.d.ts @@ -26,7 +26,7 @@ export declare class DifyClient { params?: Params, stream?: boolean, headerParams?: HeaderParams - ): Promise; + ): Promise; messageFeedback(message_id: string, rating: number, user: User): Promise; @@ -64,9 +64,9 @@ export declare class ChatClient extends DifyClient { getConversations( - user: User, - first_id?: string | null, - limit?: number | null, + user: User, + first_id?: string | null, + limit?: number | null, pinned?: boolean | null ): Promise; @@ -80,7 +80,7 @@ export declare class ChatClient extends DifyClient { renameConversation(conversation_id: string, name: string, user: User,auto_generate:boolean): Promise; deleteConversation(conversation_id: string, user: User): Promise; - + audioToText(data: FormData): Promise; } @@ -88,4 +88,4 @@ export declare class WorkflowClient extends DifyClient { run(inputs: any, user: User, stream?: boolean,): Promise; stop(task_id: string, user: User): Promise; -} \ No newline at end of file +} diff --git a/sdks/nodejs-client/index.js b/sdks/nodejs-client/index.js index 858241ce5a..0ba7bba8bb 100644 --- a/sdks/nodejs-client/index.js +++ b/sdks/nodejs-client/index.js @@ -334,12 +334,12 @@ export class ChatClient extends DifyClient { export class WorkflowClient extends DifyClient { run(inputs,user,stream) { - const data = { - inputs, + const data = { + inputs, response_mode: stream ? "streaming" : "blocking", - user + user }; - + return this.sendRequest( routes.runWorkflow.method, routes.runWorkflow.url(), @@ -357,4 +357,4 @@ export class WorkflowClient extends DifyClient { data ); } -} \ No newline at end of file +} diff --git a/sdks/nodejs-client/index.test.js b/sdks/nodejs-client/index.test.js index f300b16fc9..1f5d6edb06 100644 --- a/sdks/nodejs-client/index.test.js +++ b/sdks/nodejs-client/index.test.js @@ -62,4 +62,4 @@ describe('Send Requests', () => { errorMessage ) }) -}) \ No newline at end of file +}) diff --git a/sdks/nodejs-client/package.json b/sdks/nodejs-client/package.json index cc27c5e0c0..cd3bcc4bce 100644 --- a/sdks/nodejs-client/package.json +++ b/sdks/nodejs-client/package.json @@ -32,4 +32,4 @@ "babel-jest": "^29.5.0", "jest": "^29.5.0" } -} \ No newline at end of file +} diff --git a/sdks/php-client/.gitignore b/sdks/php-client/.gitignore new file mode 100644 index 0000000000..61ead86667 --- /dev/null +++ b/sdks/php-client/.gitignore @@ -0,0 +1 @@ +/vendor diff --git a/sdks/php-client/README.md b/sdks/php-client/README.md index b0a435bbaf..91e77ad9ff 100644 --- a/sdks/php-client/README.md +++ b/sdks/php-client/README.md @@ -9,6 +9,21 @@ This is the PHP SDK for the Dify API, which allows you to easily integrate Dify ## Usage +If you want to try the example, you can run `composer install` in this directory. + +In exist project, copy the `dify-client.php` to you project, and merge the following to your `composer.json` file, then run `composer install && composer dump-autoload` to install. Guzzle does not require 7.9, other versions have not been tested, but you can try. + +```json +{ + "require": { + "guzzlehttp/guzzle": "^7.9" + }, + "autoload": { + "files": ["path/to/dify-client.php"] + } +} +``` + After installing the SDK, you can use it in your project like this: ```php @@ -16,10 +31,6 @@ After installing the SDK, you can use it in your project like this: require 'vendor/autoload.php'; -use YourVendorName\DifyPHP\DifyClient; -use YourVendorName\DifyPHP\CompletionClient; -use YourVendorName\DifyPHP\ChatClient; - $apiKey = 'your-api-key-here'; $difyClient = new DifyClient($apiKey); @@ -81,4 +92,4 @@ Replace 'your-api-key-here' with your actual Dify API key. ## License -This SDK is released under the MIT License. \ No newline at end of file +This SDK is released under the MIT License. diff --git a/sdks/php-client/composer.json b/sdks/php-client/composer.json new file mode 100644 index 0000000000..6e49e44075 --- /dev/null +++ b/sdks/php-client/composer.json @@ -0,0 +1,9 @@ +{ + "require": { + "php": ">=7.2", + "guzzlehttp/guzzle": "^7.9" + }, + "autoload": { + "files": ["dify-client.php"] + } +} diff --git a/sdks/php-client/composer.lock b/sdks/php-client/composer.lock new file mode 100644 index 0000000000..aa07dc03ef --- /dev/null +++ b/sdks/php-client/composer.lock @@ -0,0 +1,663 @@ +{ + "_readme": [ + "This file locks the dependencies of your project to a known state", + "Read more about it at https://getcomposer.org/doc/01-basic-usage.md#installing-dependencies", + "This file is @generated automatically" + ], + "content-hash": "7827c548fdcc7e87cb0ae341dd2c6b1b", + "packages": [ + { + "name": "guzzlehttp/guzzle", + "version": "7.9.2", + "source": { + "type": "git", + "url": "https://github.com/guzzle/guzzle.git", + "reference": "d281ed313b989f213357e3be1a179f02196ac99b" + }, + "dist": { + "type": "zip", + "url": "https://api.github.com/repos/guzzle/guzzle/zipball/d281ed313b989f213357e3be1a179f02196ac99b", + "reference": "d281ed313b989f213357e3be1a179f02196ac99b", + "shasum": "", + "mirrors": [ + { + "url": "https://mirrors.aliyun.com/composer/dists/%package%/%reference%.%type%", + "preferred": true + } + ] + }, + "require": { + "ext-json": "*", + "guzzlehttp/promises": "^1.5.3 || ^2.0.3", + "guzzlehttp/psr7": "^2.7.0", + "php": "^7.2.5 || ^8.0", + "psr/http-client": "^1.0", + "symfony/deprecation-contracts": "^2.2 || ^3.0" + }, + "provide": { + "psr/http-client-implementation": "1.0" + }, + "require-dev": { + "bamarni/composer-bin-plugin": "^1.8.2", + "ext-curl": "*", + "guzzle/client-integration-tests": "3.0.2", + "php-http/message-factory": "^1.1", + "phpunit/phpunit": "^8.5.39 || ^9.6.20", + "psr/log": "^1.1 || ^2.0 || ^3.0" + }, + "suggest": { + "ext-curl": "Required for CURL handler support", + "ext-intl": "Required for Internationalized Domain Name (IDN) support", + "psr/log": "Required for using the Log middleware" + }, + "type": "library", + "extra": { + "bamarni-bin": { + "bin-links": true, + 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"https://api.dify.ai/v1/"; + $this->base_url = $base_url ?? 'https://api.dify.ai/v1/'; $this->client = new Client([ 'base_uri' => $this->base_url, 'headers' => [ @@ -19,13 +17,6 @@ class DifyClient { 'Content-Type' => 'application/json', ], ]); - $this->file_client = new Client([ - 'base_uri' => $this->base_url, - 'headers' => [ - 'Authorization' => 'Bearer ' . $this->api_key, - 'Content-Type' => 'multipart/form-data', - ], - ]); } protected function send_request($method, $endpoint, $data = null, $params = null, $stream = false) { @@ -58,7 +49,7 @@ class DifyClient { 'multipart' => $this->prepareMultipart($data, $files) ]; - return $this->file_client->request('POST', 'files/upload', $options); + return $this->client->request('POST', 'files/upload', $options); } protected function prepareMultipart($data, $files) { @@ -128,14 +119,14 @@ class ChatClient extends DifyClient { return $this->send_request('POST', 'chat-messages', $data, null, $response_mode === 'streaming'); } - + public function get_suggestions($message_id, $user) { $params = [ 'user' => $user - ] + ]; return $this->send_request('GET', "messages/{$message_id}/suggested", null, $params); } - + public function stop_message($task_id, $user) { $data = ['user' => $user]; return $this->send_request('POST', "chat-messages/{$task_id}/stop", $data); @@ -166,7 +157,7 @@ class ChatClient extends DifyClient { return $this->send_request('GET', 'messages', null, $params); } - + public function rename_conversation($conversation_id, $name,$auto_generate, $user) { $data = [ 'name' => $name, @@ -188,10 +179,9 @@ class ChatClient extends DifyClient { 'user' => $user, ]; $options = [ - 'multipart' => $this->prepareMultipart($data, $files) + 'multipart' => $this->prepareMultipart($data, $audio_file) ]; - return $this->file_client->request('POST', 'audio-to-text', $options); - + return $this->client->request('POST', 'audio-to-text', $options); } } @@ -212,5 +202,5 @@ class WorkflowClient extends DifyClient{ ]; return $this->send_request('POST', "workflows/tasks/{$task_id}/stop",$data); } - -} \ No newline at end of file + +} diff --git a/sdks/python-client/MANIFEST.in b/sdks/python-client/MANIFEST.in index da331d5e5c..12f44237a2 100644 --- a/sdks/python-client/MANIFEST.in +++ b/sdks/python-client/MANIFEST.in @@ -1 +1 @@ -recursive-include dify_client *.py \ No newline at end of file +recursive-include dify_client *.py diff --git a/sdks/python-client/build.sh b/sdks/python-client/build.sh index ca1a762c99..525f57c1ef 100755 --- a/sdks/python-client/build.sh +++ b/sdks/python-client/build.sh @@ -6,4 +6,4 @@ rm -rf build dist *.egg-info pip install setuptools wheel twine python setup.py sdist bdist_wheel -twine upload dist/* \ No newline at end of file +twine upload dist/* diff --git a/web/.dockerignore b/web/.dockerignore index 45a8922ce9..31eb66c210 100644 --- a/web/.dockerignore +++ b/web/.dockerignore @@ -21,4 +21,4 @@ node_modules # Jetbrains -.idea \ No newline at end of file +.idea diff --git a/web/.env.example b/web/.env.example index 51dc3d6b3c..51631c2437 100644 --- a/web/.env.example +++ b/web/.env.example @@ -29,6 +29,8 @@ NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS=60000 # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP NEXT_PUBLIC_CSP_WHITELIST= +# Default is not allow to embed into iframe to prevent Clickjacking: https://owasp.org/www-community/attacks/Clickjacking +NEXT_PUBLIC_ALLOW_EMBED= # Github Access Token, used for invoking Github API NEXT_PUBLIC_GITHUB_ACCESS_TOKEN= @@ -49,3 +51,8 @@ NEXT_PUBLIC_MAX_PARALLEL_LIMIT=10 # The maximum number of iterations for agent setting NEXT_PUBLIC_MAX_ITERATIONS_NUM=5 + +NEXT_PUBLIC_ENABLE_WEBSITE_JINAREADER=true +NEXT_PUBLIC_ENABLE_WEBSITE_FIRECRAWL=true +NEXT_PUBLIC_ENABLE_WEBSITE_WATERCRAWL=true + diff --git a/web/.husky/pre-commit b/web/.husky/pre-commit old mode 100755 new mode 100644 index 9b78debadc..2ad3922e99 --- a/web/.husky/pre-commit +++ b/web/.husky/pre-commit @@ -27,17 +27,11 @@ done if $api_modified; then echo "Running Ruff linter on api module" - # python style checks rely on `ruff` in path - if ! command -v ruff > /dev/null 2>&1; then - echo "Installing linting tools (Ruff, dotenv-linter ...) ..." - poetry install -C api --only lint - fi - # run Ruff linter auto-fixing - ruff check --fix ./api + uv run --project api --dev ruff check --fix ./api # run Ruff linter checks - ruff check ./api || status=$? + uv run --project api --dev ruff check ./api || status=$? status=${status:-0} diff --git a/web/.vscode/extensions.json b/web/.vscode/extensions.json index a9afbcc640..e0e72ce11e 100644 --- a/web/.vscode/extensions.json +++ b/web/.vscode/extensions.json @@ -4,4 +4,4 @@ "firsttris.vscode-jest-runner", "kisstkondoros.vscode-codemetrics" ] -} \ No newline at end of file +} diff --git a/web/README.md b/web/README.md index 3236347e80..3d9fd2de87 100644 --- a/web/README.md +++ b/web/README.md @@ -7,7 +7,7 @@ This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next ### Run by source code Before starting the web frontend service, please make sure the following environment is ready. -- [Node.js](https://nodejs.org) >= v18.x +- [Node.js](https://nodejs.org) >= v22.11.x - [pnpm](https://pnpm.io) v10.x First, install the dependencies: diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx index 20bf2137c2..0efc5082a4 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx @@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next' import { useBoolean } from 'ahooks' import TracingIcon from './tracing-icon' import ProviderPanel from './provider-panel' -import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type' +import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type' import { TracingProvider } from './type' import ProviderConfigModal from './provider-config-modal' import Indicator from '@/app/components/header/indicator' @@ -26,7 +26,8 @@ export type PopupProps = { langSmithConfig: LangSmithConfig | null langFuseConfig: LangFuseConfig | null opikConfig: OpikConfig | null - onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void + weaveConfig: WeaveConfig | null + onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void onConfigRemoved: (provider: TracingProvider) => void } @@ -40,6 +41,7 @@ const ConfigPopup: FC = ({ langSmithConfig, langFuseConfig, opikConfig, + weaveConfig, onConfigUpdated, onConfigRemoved, }) => { @@ -63,7 +65,7 @@ const ConfigPopup: FC = ({ } }, [onChooseProvider]) - const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig) => { + const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => { onConfigUpdated(currentProvider!, payload) hideConfigModal() }, [currentProvider, hideConfigModal, onConfigUpdated]) @@ -73,8 +75,8 @@ const ConfigPopup: FC = ({ hideConfigModal() }, [currentProvider, hideConfigModal, onConfigRemoved]) - const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig - const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig + const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig && weaveConfig + const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig && !weaveConfig const switchContent = ( = ({ /> ) + const weavePanel = ( + + ) const configuredProviderPanel = () => { - const configuredPanels: any[] = [] - - if (langSmithConfig) - configuredPanels.push(langSmithPanel) + const configuredPanels: JSX.Element[] = [] if (langFuseConfig) configuredPanels.push(langfusePanel) + if (langSmithConfig) + configuredPanels.push(langSmithPanel) + if (opikConfig) configuredPanels.push(opikPanel) + if (weaveConfig) + configuredPanels.push(weavePanel) + return configuredPanels } const moreProviderPanel = () => { - const notConfiguredPanels: any[] = [] - - if (!langSmithConfig) - notConfiguredPanels.push(langSmithPanel) + const notConfiguredPanels: JSX.Element[] = [] if (!langFuseConfig) notConfiguredPanels.push(langfusePanel) + if (!langSmithConfig) + notConfiguredPanels.push(langSmithPanel) + if (!opikConfig) notConfiguredPanels.push(opikPanel) + if (!weaveConfig) + notConfiguredPanels.push(weavePanel) + return notConfiguredPanels } @@ -158,7 +178,9 @@ const ConfigPopup: FC = ({ return langSmithConfig if (currentProvider === TracingProvider.langfuse) return langFuseConfig - return opikConfig + if (currentProvider === TracingProvider.opik) + return opikConfig + return weaveConfig } return ( @@ -199,9 +221,10 @@ const ConfigPopup: FC = ({ <>
{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}
- {langSmithPanel} {langfusePanel} + {langSmithPanel} {opikPanel} + {weavePanel}
) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts index 0f3f280b30..5d3c4076bd 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts @@ -4,4 +4,5 @@ export const docURL = { [TracingProvider.langSmith]: 'https://docs.smith.langchain.com/', [TracingProvider.langfuse]: 'https://docs.langfuse.com', [TracingProvider.opik]: 'https://www.comet.com/docs/opik/tracing/integrations/dify#setup-instructions', + [TracingProvider.weave]: 'https://weave-docs.wandb.ai/', } diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx index 160110f7ed..8575117c41 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx @@ -7,12 +7,12 @@ import { import { useTranslation } from 'react-i18next' import { usePathname } from 'next/navigation' import { useBoolean } from 'ahooks' -import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type' +import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type' import { TracingProvider } from './type' import TracingIcon from './tracing-icon' import ConfigButton from './config-button' import cn from '@/utils/classnames' -import { LangfuseIcon, LangsmithIcon, OpikIcon } from '@/app/components/base/icons/src/public/tracing' +import { LangfuseIcon, LangsmithIcon, OpikIcon, WeaveIcon } from '@/app/components/base/icons/src/public/tracing' import Indicator from '@/app/components/header/indicator' import { fetchTracingConfig as doFetchTracingConfig, fetchTracingStatus, updateTracingStatus } from '@/service/apps' import type { TracingStatus } from '@/models/app' @@ -82,12 +82,15 @@ const Panel: FC = () => { ? LangfuseIcon : inUseTracingProvider === TracingProvider.opik ? OpikIcon - : LangsmithIcon + : inUseTracingProvider === TracingProvider.weave + ? WeaveIcon + : LangsmithIcon const [langSmithConfig, setLangSmithConfig] = useState(null) const [langFuseConfig, setLangFuseConfig] = useState(null) const [opikConfig, setOpikConfig] = useState(null) - const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig) + const [weaveConfig, setWeaveConfig] = useState(null) + const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig || weaveConfig) const fetchTracingConfig = async () => { const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith }) @@ -99,6 +102,9 @@ const Panel: FC = () => { const { tracing_config: opikConfig, has_not_configured: OpikHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.opik }) if (!OpikHasNotConfig) setOpikConfig(opikConfig as OpikConfig) + const { tracing_config: weaveConfig, has_not_configured: weaveHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.weave }) + if (!weaveHasNotConfig) + setWeaveConfig(weaveConfig as WeaveConfig) } const handleTracingConfigUpdated = async (provider: TracingProvider) => { @@ -110,6 +116,8 @@ const Panel: FC = () => { setLangFuseConfig(tracing_config as LangFuseConfig) else if (provider === TracingProvider.opik) setOpikConfig(tracing_config as OpikConfig) + else if (provider === TracingProvider.weave) + setWeaveConfig(tracing_config as WeaveConfig) } const handleTracingConfigRemoved = (provider: TracingProvider) => { @@ -119,6 +127,8 @@ const Panel: FC = () => { setLangFuseConfig(null) else if (provider === TracingProvider.opik) setOpikConfig(null) + else if (provider === TracingProvider.weave) + setWeaveConfig(null) if (provider === inUseTracingProvider) { handleTracingStatusChange({ enabled: false, @@ -178,6 +188,7 @@ const Panel: FC = () => { langSmithConfig={langSmithConfig} langFuseConfig={langFuseConfig} opikConfig={opikConfig} + weaveConfig={weaveConfig} onConfigUpdated={handleTracingConfigUpdated} onConfigRemoved={handleTracingConfigRemoved} controlShowPopup={controlShowPopup} @@ -212,6 +223,7 @@ const Panel: FC = () => { langSmithConfig={langSmithConfig} langFuseConfig={langFuseConfig} opikConfig={opikConfig} + weaveConfig={weaveConfig} onConfigUpdated={handleTracingConfigUpdated} onConfigRemoved={handleTracingConfigRemoved} controlShowPopup={controlShowPopup} diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx index a7675c4a66..c0b52a9b10 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx @@ -4,7 +4,7 @@ import React, { useCallback, useState } from 'react' import { useTranslation } from 'react-i18next' import { useBoolean } from 'ahooks' import Field from './field' -import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type' +import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type' import { TracingProvider } from './type' import { docURL } from './config' import { @@ -22,10 +22,10 @@ import Divider from '@/app/components/base/divider' type Props = { appId: string type: TracingProvider - payload?: LangSmithConfig | LangFuseConfig | OpikConfig | null + payload?: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig | null onRemoved: () => void onCancel: () => void - onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void + onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void onChosen: (provider: TracingProvider) => void } @@ -50,6 +50,13 @@ const opikConfigTemplate = { workspace: '', } +const weaveConfigTemplate = { + api_key: '', + entity: '', + project: '', + endpoint: '', +} + const ProviderConfigModal: FC = ({ appId, type, @@ -63,7 +70,7 @@ const ProviderConfigModal: FC = ({ const isEdit = !!payload const isAdd = !isEdit const [isSaving, setIsSaving] = useState(false) - const [config, setConfig] = useState((() => { + const [config, setConfig] = useState((() => { if (isEdit) return payload @@ -73,7 +80,10 @@ const ProviderConfigModal: FC = ({ else if (type === TracingProvider.langfuse) return langFuseConfigTemplate - return opikConfigTemplate + else if (type === TracingProvider.opik) + return opikConfigTemplate + + return weaveConfigTemplate })()) const [isShowRemoveConfirm, { setTrue: showRemoveConfirm, @@ -127,6 +137,14 @@ const ProviderConfigModal: FC = ({ // const postData = config as OpikConfig } + if (type === TracingProvider.weave) { + const postData = config as WeaveConfig + if (!errorMessage && !postData.api_key) + errorMessage = t('common.errorMsg.fieldRequired', { field: 'API Key' }) + if (!errorMessage && !postData.project) + errorMessage = t('common.errorMsg.fieldRequired', { field: t(`${I18N_PREFIX}.project`) }) + } + return errorMessage }, [config, t, type]) const handleSave = useCallback(async () => { @@ -176,6 +194,40 @@ const ProviderConfigModal: FC = ({
+ {type === TracingProvider.weave && ( + <> + + + + + + )} {type === TracingProvider.langSmith && ( <> = ({ /> )} -
{ [TracingProvider.langSmith]: LangsmithIconBig, [TracingProvider.langfuse]: LangfuseIconBig, [TracingProvider.opik]: OpikIconBig, + [TracingProvider.weave]: WeaveIconBig, })[type] } diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts index 982d01ffb3..386c58974e 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts @@ -2,6 +2,7 @@ export enum TracingProvider { langSmith = 'langsmith', langfuse = 'langfuse', opik = 'opik', + weave = 'weave', } export type LangSmithConfig = { @@ -22,3 +23,10 @@ export type OpikConfig = { workspace: string url: string } + +export type WeaveConfig = { + api_key: string + entity: string + project: string + endpoint: string +} diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/style.module.css b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/style.module.css index 16392a5b4b..45c7d197b4 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/style.module.css +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/style.module.css @@ -3,4 +3,4 @@ height: 0; border-radius: 16px 16px 0px 0px; box-shadow: 0px 0px 5px rgba(0, 0, 0, 0.05), 0px 0px 2px -1px rgba(0, 0, 0, 0.03); -} \ No newline at end of file +} diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/workflow/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/workflow/page.tsx index f4d49425ae..d5df70f004 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/workflow/page.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/workflow/page.tsx @@ -1,11 +1,11 @@ 'use client' -import Workflow from '@/app/components/workflow' +import WorkflowApp from '@/app/components/workflow-app' const Page = () => { return (
- +
) } diff --git a/web/app/(commonLayout)/apps/AppCard.tsx b/web/app/(commonLayout)/apps/AppCard.tsx index ff8165fc82..3f8c180c1a 100644 --- a/web/app/(commonLayout)/apps/AppCard.tsx +++ b/web/app/(commonLayout)/apps/AppCard.tsx @@ -16,6 +16,7 @@ import AppsContext, { useAppContext } from '@/context/app-context' import type { HtmlContentProps } from '@/app/components/base/popover' import CustomPopover from '@/app/components/base/popover' import Divider from '@/app/components/base/divider' +import { basePath } from '@/utils/var' import { getRedirection } from '@/utils/app-redirection' import { useProviderContext } from '@/context/provider-context' import { NEED_REFRESH_APP_LIST_KEY } from '@/config' @@ -216,7 +217,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { try { const { installed_apps }: any = await fetchInstalledAppList(app.id) || {} if (installed_apps?.length > 0) - window.open(`/explore/installed/${installed_apps[0].id}`, '_blank') + window.open(`${basePath}/explore/installed/${installed_apps[0].id}`, '_blank') else throw new Error('No app found in Explore') } diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/api/page.tsx b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/api/page.tsx index f1b20dd8d8..167520ca7b 100644 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/api/page.tsx +++ b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/api/page.tsx @@ -1,8 +1,6 @@ import React from 'react' -type Props = {} - -const page = (props: Props) => { +const page = () => { return (
dataset detail api
) diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout-main.tsx b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout-main.tsx index ef19b6d92e..078c7ebd8c 100644 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout-main.tsx +++ b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout-main.tsx @@ -1,22 +1,22 @@ 'use client' -import type { FC, SVGProps } from 'react' +import type { FC } from 'react' import React, { useEffect, useMemo } from 'react' import { usePathname } from 'next/navigation' import useSWR from 'swr' import { useTranslation } from 'react-i18next' import { useBoolean } from 'ahooks' import { - Cog8ToothIcon, - DocumentTextIcon, + RiEqualizer2Fill, + RiEqualizer2Line, + RiFileTextFill, + RiFileTextLine, + RiFocus2Fill, + RiFocus2Line, +} from '@remixicon/react' +import { PaperClipIcon, } from '@heroicons/react/24/outline' -import { - Cog8ToothIcon as Cog8ToothSolidIcon, - // CommandLineIcon as CommandLineSolidIcon, - DocumentTextIcon as DocumentTextSolidIcon, -} from '@heroicons/react/24/solid' import { RiApps2AddLine, RiBookOpenLine, RiInformation2Line } from '@remixicon/react' -import s from './style.module.css' import classNames from '@/utils/classnames' import { fetchDatasetDetail, fetchDatasetRelatedApps } from '@/service/datasets' import type { RelatedAppResponse } from '@/models/datasets' @@ -37,27 +37,6 @@ export type IAppDetailLayoutProps = { params: { datasetId: string } } -const TargetIcon = ({ className }: SVGProps) => { - return - - - - - - - - - -} - -const TargetSolidIcon = ({ className }: SVGProps) => { - return - - - - -} - type IExtraInfoProps = { isMobile: boolean relatedApps?: RelatedAppResponse @@ -98,9 +77,9 @@ const ExtraInfo = ({ isMobile, relatedApps, expand }: IExtraInfoProps) => { )} - {isMobile &&
+ {isMobile &&
{relatedAppsTotal || '--'} - +
} )} @@ -164,17 +143,16 @@ const DatasetDetailLayout: FC = (props) => { const navigation = useMemo(() => { const baseNavigation = [ - { name: t('common.datasetMenus.hitTesting'), href: `/datasets/${datasetId}/hitTesting`, icon: TargetIcon, selectedIcon: TargetSolidIcon }, - // { name: 'api & webhook', href: `/datasets/${datasetId}/api`, icon: CommandLineIcon, selectedIcon: CommandLineSolidIcon }, - { name: t('common.datasetMenus.settings'), href: `/datasets/${datasetId}/settings`, icon: Cog8ToothIcon, selectedIcon: Cog8ToothSolidIcon }, + { name: t('common.datasetMenus.hitTesting'), href: `/datasets/${datasetId}/hitTesting`, icon: RiFocus2Line, selectedIcon: RiFocus2Fill }, + { name: t('common.datasetMenus.settings'), href: `/datasets/${datasetId}/settings`, icon: RiEqualizer2Line, selectedIcon: RiEqualizer2Fill }, ] if (datasetRes?.provider !== 'external') { baseNavigation.unshift({ name: t('common.datasetMenus.documents'), href: `/datasets/${datasetId}/documents`, - icon: DocumentTextIcon, - selectedIcon: DocumentTextSolidIcon, + icon: RiFileTextLine, + selectedIcon: RiFileTextFill, }) } return baseNavigation diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css deleted file mode 100644 index 516b124809..0000000000 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css +++ /dev/null @@ -1,9 +0,0 @@ -.statusPoint { - @apply flex justify-center items-center absolute -right-0.5 -bottom-0.5 w-2.5 h-2.5 bg-white rounded; -} -.subTitle { - @apply uppercase text-xs text-gray-500 font-medium px-3 pb-2 pt-4; -} -.emptyIconDiv { - @apply h-7 w-7 bg-gray-50 border border-[#EAECF5] inline-flex justify-center items-center rounded-lg; -} diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx index 95f8baea12..771fa7c3f9 100644 --- a/web/app/(commonLayout)/datasets/Container.tsx +++ b/web/app/(commonLayout)/datasets/Container.tsx @@ -11,7 +11,7 @@ import { useQuery } from '@tanstack/react-query' import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel' import Datasets from './Datasets' import DatasetFooter from './DatasetFooter' -import ApiServer from './ApiServer' +import ApiServer from '../../components/develop/ApiServer' import Doc from './Doc' import TabSliderNew from '@/app/components/base/tab-slider-new' import TagManagementModal from '@/app/components/base/tag-management' diff --git a/web/app/(commonLayout)/datasets/DatasetCard.tsx b/web/app/(commonLayout)/datasets/DatasetCard.tsx index c4dc2ed00d..e0012b4956 100644 --- a/web/app/(commonLayout)/datasets/DatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/DatasetCard.tsx @@ -61,7 +61,7 @@ const DatasetCard = ({ if (onSuccess) onSuccess() } - catch (e: any) { + catch { } setShowConfirmDelete(false) }, [dataset.id, notify, onSuccess, t]) @@ -170,7 +170,7 @@ const DatasetCard = ({ {dataset.description}
{ diff --git a/web/app/(commonLayout)/datasets/Doc.tsx b/web/app/(commonLayout)/datasets/Doc.tsx index 57d4b8dfef..20264ce8ad 100644 --- a/web/app/(commonLayout)/datasets/Doc.tsx +++ b/web/app/(commonLayout)/datasets/Doc.tsx @@ -1,6 +1,6 @@ 'use client' -import { useEffect, useState } from 'react' +import { useEffect, useMemo, useState } from 'react' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' import { RiListUnordered } from '@remixicon/react' @@ -9,6 +9,9 @@ import TemplateZh from './template/template.zh.mdx' import TemplateJa from './template/template.ja.mdx' import I18n from '@/context/i18n' import { LanguagesSupported } from '@/i18n/language' +import useTheme from '@/hooks/use-theme' +import { Theme } from '@/types/app' +import cn from '@/utils/classnames' type DocProps = { apiBaseUrl: string @@ -19,6 +22,7 @@ const Doc = ({ apiBaseUrl }: DocProps) => { const { t } = useTranslation() const [toc, setToc] = useState>([]) const [isTocExpanded, setIsTocExpanded] = useState(false) + const { theme } = useTheme() // Set initial TOC expanded state based on screen width useEffect(() => { @@ -67,17 +71,28 @@ const Doc = ({ apiBaseUrl }: DocProps) => { } } + const Template = useMemo(() => { + switch (locale) { + case LanguagesSupported[1]: + return + case LanguagesSupported[7]: + return + default: + return + } + }, [apiBaseUrl, locale]) + return (
{isTocExpanded ? ( -
) diff --git a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx b/web/app/(commonLayout)/datasets/NewDatasetCard.tsx index ed3b93f3a4..792d9904da 100644 --- a/web/app/(commonLayout)/datasets/NewDatasetCard.tsx +++ b/web/app/(commonLayout)/datasets/NewDatasetCard.tsx @@ -1,5 +1,6 @@ 'use client' import { useTranslation } from 'react-i18next' +import { basePath } from '@/utils/var' import { RiAddLine, RiArrowRightLine, @@ -17,7 +18,7 @@ const CreateAppCard = (
- +
{t('dataset.createDatasetIntro')}
- +
{t('dataset.connectDataset')}
 diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 862344659d..54e08b45d8 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -1,3 +1,8 @@ +{/** + * @typedef Props + * @property {string} apiBaseUrl + */} + import { CodeGroup } from '@/app/components/develop/code.tsx' import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx' @@ -32,7 +37,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi This API is based on an existing knowledge and creates a new document through text based on this knowledge. - ### Params + ### Path Knowledge ID @@ -170,7 +175,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi This API is based on an existing knowledge and creates a new document through a file based on this knowledge. - ### Params + ### Path Knowledge ID @@ -309,6 +314,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi Index technique (optional) + If this is not set, embedding_model, embedding_provider_name and retrieval_model will be set to null - high_quality High quality - economy Economy @@ -329,6 +335,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi External knowledge ID (optional) + + Embedding model name (optional) + + + Embedding model provider name (optional) + + + Retrieval model (optional) + - search_method (string) Search method + - hybrid_search Hybrid search + - semantic_search Semantic search + - full_text_search Full-text search + - reranking_enable (bool) Whether to enable reranking + - reranking_model (object) Rerank model configuration + - reranking_provider_name (string) Rerank model provider + - reranking_model_name (string) Rerank model name + - top_k (int) Number of results to return + - score_threshold_enabled (bool) Whether to enable score threshold + - score_threshold (float) Score threshold + @@ -386,11 +412,20 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ### Query + + Search keyword, optional + + + Tag ID list, optional + - Page number + Page number, optional, default 1 - Number of items returned, default 20, range 1-100 + Number of items returned, optional, default 20, range 1-100 + + + Whether to include all datasets (only effective for owners), optional, defaults to false @@ -447,7 +482,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Query + ### Path Knowledge Base ID @@ -522,13 +557,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - ### Query + ### Path Knowledge Base ID @@ -550,8 +585,21 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi Specified embedding model, corresponding to the model field(Optional) - - Specified retrieval model, corresponding to the model field(Optional) + + 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 Partial member list(Optional) @@ -561,16 +609,56 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ```bash {{ title: 'cURL' }} - curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}' \ + curl --location --request PATCH '${props.apiBaseUrl}/datasets/{dataset_id}' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' \ - --data-raw '{"name": "Test Knowledge Base", "indexing_technique": "high_quality", "permission": "only_me",\ - "embedding_model_provider": "zhipuai", "embedding_model": "embedding-3", "retrieval_model": "", "partial_member_list": []}' + --data-raw '{ + "name": "Test Knowledge Base", + "indexing_technique": "high_quality", + "permission": "only_me", + "embedding_model_provider": "zhipuai", + "embedding_model": "embedding-3", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 1, + "score_threshold_enabled": false, + "score_threshold": null + }, + "partial_member_list": [] + }' ``` @@ -636,7 +724,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -675,7 +763,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi This API is based on an existing knowledge and updates the document through text based on this knowledge. - ### Params + ### Path Knowledge ID @@ -777,7 +865,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi This API is based on an existing knowledge, and updates documents through files based on this knowledge - ### Params + ### Path Knowledge ID @@ -874,7 +962,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -929,7 +1017,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -971,7 +1059,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1046,7 +1134,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1238,10 +1326,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi title="Request" tag="DELETE" label="/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}" - targetCode={`curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/segments/{segment_id}' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`} + targetCode={`curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`} > ```bash {{ title: 'cURL' }} - curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/segments/{segment_id}' \ + curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' ``` @@ -1355,7 +1443,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1426,7 +1514,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1503,7 +1591,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1551,7 +1639,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1820,7 +1908,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1867,7 +1955,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1916,7 +2004,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1949,7 +2037,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1982,7 +2070,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -2267,4 +2355,4 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi -
\ No newline at end of file +
diff --git a/web/app/(commonLayout)/datasets/template/template.ja.mdx b/web/app/(commonLayout)/datasets/template/template.ja.mdx index e2bdd27d80..6691d902a8 100644 --- a/web/app/(commonLayout)/datasets/template/template.ja.mdx +++ b/web/app/(commonLayout)/datasets/template/template.ja.mdx @@ -1,3 +1,8 @@ +{/** + * @typedef Props + * @property {string} apiBaseUrl + */} + import { CodeGroup } from '@/app/components/develop/code.tsx' import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx' @@ -32,7 +37,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi この API は既存のナレッジに基づいており、このナレッジを基にテキストを使用して新しいドキュメントを作成します。 - ### パラメータ + ### パス ナレッジ ID @@ -170,7 +175,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi この API は既存のナレッジに基づいており、このナレッジを基にファイルを使用して新しいドキュメントを作成します。 - ### パラメータ + ### パス ナレッジ ID @@ -329,6 +334,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 外部ナレッジ ID (オプション) + + 埋め込みモデル名（任意） + + + 埋め込みモデルのプロバイダ名（任意） + + + 検索モデル（任意） + - search_method (文字列) 検索方法 + - hybrid_search ハイブリッド検索 + - semantic_search セマンティック検索 + - full_text_search 全文検索 + - reranking_enable (ブール値) リランキングを有効にするかどうか + - reranking_model (オブジェクト) リランクモデルの設定 + - reranking_provider_name (文字列) リランクモデルのプロバイダ + - reranking_model_name (文字列) リランクモデル名 + - top_k (整数) 返される結果の数 + - score_threshold_enabled (ブール値) スコア閾値を有効にするかどうか + - score_threshold (浮動小数点数) スコア閾値 + @@ -386,11 +411,20 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ### クエリ + + 検索キーワード、オプション + + + タグIDリスト、オプション + - ページ番号 + 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、デフォルトは 20、範囲は 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 @@ -486,7 +520,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi この API は既存のナレッジに基づいており、このナレッジを基にテキストを使用してドキュメントを更新します。 - ### パラメータ + ### パス ナレッジ ID @@ -588,7 +622,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi この API は既存のナレッジに基づいており、このナレッジを基にファイルを使用してドキュメントを更新します。 - ### パラメータ + ### パス ナレッジ ID @@ -740,7 +774,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -782,7 +816,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -857,7 +891,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1049,10 +1083,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi title="リクエスト" tag="DELETE" label="/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}" - targetCode={`curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/segments/{segment_id}' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`} + targetCode={`curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`} > ```bash {{ title: 'cURL' }} - curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/segments/{segment_id}' \ + curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/segments/{segment_id}' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' ``` @@ -1166,7 +1200,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1237,7 +1271,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1314,7 +1348,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1362,7 +1396,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1631,7 +1665,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1678,7 +1712,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1727,7 +1761,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1760,7 +1794,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1793,7 +1827,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID @@ -1834,7 +1868,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### パラメータ + ### パス ナレッジ ID diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx index 1d4e5ead6d..a8bb7046e6 100644 --- a/web/app/(commonLayout)/datasets/template/template.zh.mdx +++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx @@ -1,3 +1,8 @@ +{/** + * @typedef Props + * @property {string} apiBaseUrl + */} + import { CodeGroup } from '@/app/components/develop/code.tsx' import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx' @@ -89,6 +94,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - semantic_search 语义检索 - full_text_search 全文检索 - reranking_enable (bool) 是否开启rerank + - reranking_mode (String) 混合检索 + - weighted_score 权重设置 + - reranking_model Rerank 模型 - 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 @@ -330,6 +338,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 外部知识库 ID（选填） + + Embedding 模型名称 + + + Embedding 模型供应商 + + + 检索模式 + - search_method (string) 检索方法 + - 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_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 (float) 召回分数限制 + @@ -387,11 +415,20 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ### Query - - 页码 + + 搜索关键词，可选 + + + 标签 ID 列表，可选 + + + 页码，可选，默认为 1 - 返回条数，默认 20，范围 1-100 + 返回条数，可选，默认 20，范围 1-100 + + + 是否包含所有数据集（仅对所有者生效），可选，默认为 false @@ -448,7 +485,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Query + ### Path 知识库 ID @@ -523,17 +560,21 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi - ### Query + ### Path 知识库 ID + + + ### Request Body + 索引模式（选填，建议填写） - high_quality 高质量 @@ -551,8 +592,21 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 嵌入模型（选填） - - 检索模型（选填） + + 检索参数（选填，如不填，按照默认方式召回） + - search_method (text) 检索方法：以下四个关键字之一，必填 + - keyword_search 关键字检索 + - semantic_search 语义检索 + - full_text_search 全文检索 + - hybrid_search 混合检索 + - reranking_enable (bool) 是否启用 Reranking，非必填，如果检索模式为 semantic_search 模式或者 hybrid_search 则传值 + - reranking_mode (object) Rerank 模型配置，非必填，如果启用了 reranking 则传值 + - reranking_provider_name (string) Rerank 模型提供商 + - reranking_model_name (string) Rerank 模型名称 + - weights (float) 混合检索模式下语意检索的权重设置 + - 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 部分团队成员 ID 列表（选填） @@ -562,16 +616,56 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ```bash {{ title: 'cURL' }} - curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}' \ + curl --location --request PATCH '${props.apiBaseUrl}/datasets/{dataset_id}' \ --header 'Authorization: Bearer {api_key}' \ --header 'Content-Type: application/json' \ - --data-raw '{"name": "Test Knowledge Base", "indexing_technique": "high_quality", "permission": "only_me",\ - "embedding_model_provider": "zhipuai", "embedding_model": "embedding-3", "retrieval_model": "", "partial_member_list": []}' + --data-raw '{ + "name": "Test Knowledge Base", + "indexing_technique": "high_quality", + "permission": "only_me", + "embedding_model_provider": "zhipuai", + "embedding_model": "embedding-3", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 1, + "score_threshold_enabled": false, + "score_threshold": null + }, + "partial_member_list": [] + }' ``` @@ -1726,7 +1820,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 检索参数（选填，如不填，按照默认方式召回） - - search_method (text) 检索方法：以下三个关键字之一，必填 + - search_method (text) 检索方法：以下四个关键字之一，必填 - keyword_search 关键字检索 - semantic_search 语义检索 - full_text_search 全文检索 @@ -1903,7 +1997,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1952,7 +2046,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1985,7 +2079,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -2018,7 +2112,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -2059,7 +2153,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Query + ### Path 知识库 ID diff --git a/web/app/(commonLayout)/list.module.css b/web/app/(commonLayout)/list.module.css index 2fc6469a6d..c4d3aec29f 100644 --- a/web/app/(commonLayout)/list.module.css +++ b/web/app/(commonLayout)/list.module.css @@ -214,4 +214,4 @@ .listItem:hover .unavailable { @apply opacity-100; -} \ No newline at end of file +} diff --git a/web/app/components/app-sidebar/app-info.tsx b/web/app/components/app-sidebar/app-info.tsx index 93f749a565..18a9ac8bc8 100644 --- a/web/app/components/app-sidebar/app-info.tsx +++ b/web/app/components/app-sidebar/app-info.tsx @@ -85,7 +85,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => { setAppDetail(app) mutateApps() } - catch (e) { + catch { notify({ type: 'error', message: t('app.editFailed') }) } }, [appDetail, mutateApps, notify, setAppDetail, t]) @@ -112,7 +112,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => { onPlanInfoChanged() getRedirection(true, newApp, replace) } - catch (e) { + catch { notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } } @@ -131,7 +131,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => { a.download = `${appDetail.name}.yml` a.click() } - catch (e) { + catch { notify({ type: 'error', message: t('app.exportFailed') }) } } @@ -152,7 +152,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => { } setSecretEnvList(list) } - catch (e) { + catch { notify({ type: 'error', message: t('app.exportFailed') }) } } @@ -175,7 +175,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => { }) } setShowConfirmDelete(false) - }, [appDetail, mutateApps, notify, onPlanInfoChanged, replace, t]) + }, [appDetail, mutateApps, notify, onPlanInfoChanged, replace, setAppDetail, t]) const { isCurrentWorkspaceEditor } = useAppContext() diff --git a/web/app/components/app-sidebar/index.tsx b/web/app/components/app-sidebar/index.tsx index 67ede51101..3276a1c0a7 100644 --- a/web/app/components/app-sidebar/index.tsx +++ b/web/app/components/app-sidebar/index.tsx @@ -1,7 +1,6 @@ import React, { useEffect } from 'react' import { useShallow } from 'zustand/react/shallow' -import { RiLayoutRight2Line } from '@remixicon/react' -import { LayoutRight2LineMod } from '../base/icons/src/public/knowledge' +import { RiLayoutLeft2Line, RiLayoutRight2Line } from '@remixicon/react' import NavLink from './navLink' import type { NavIcon } from './navLink' import AppBasic from './basic' @@ -108,13 +107,13 @@ const AppDetailNav = ({ title, desc, isExternal, icon, icon_background, navigati `} >
handleToggle(appSidebarExpand)} > { expand ? - : + : }
diff --git a/web/app/components/app-sidebar/style.module.css b/web/app/components/app-sidebar/style.module.css index 722b35bc71..ca0978b760 100644 --- a/web/app/components/app-sidebar/style.module.css +++ b/web/app/components/app-sidebar/style.module.css @@ -5,7 +5,7 @@ .completionPic { background-image: url('./completion.png') } - + .expertPic { background-image: url('./expert.png') -} \ No newline at end of file +} diff --git a/web/app/components/app/annotation/add-annotation-modal/index.tsx b/web/app/components/app/annotation/add-annotation-modal/index.tsx index fb16df0d85..274a57adf1 100644 --- a/web/app/components/app/annotation/add-annotation-modal/index.tsx +++ b/web/app/components/app/annotation/add-annotation-modal/index.tsx @@ -56,7 +56,7 @@ const AddAnnotationModal: FC = ({ try { await onAdd(payload) } - catch (e) { + catch { } setIsSaving(false) diff --git a/web/app/components/app/annotation/index.tsx b/web/app/components/app/annotation/index.tsx index d50ccde54d..f010f5f8b1 100644 --- a/web/app/components/app/annotation/index.tsx +++ b/web/app/components/app/annotation/index.tsx @@ -90,7 +90,7 @@ const Annotation: FC = ({ setList(data as AnnotationItem[]) setTotal(total) } - catch (e) { + catch { } setIsLoading(false) diff --git a/web/app/components/app/annotation/view-annotation-modal/index.tsx b/web/app/components/app/annotation/view-annotation-modal/index.tsx index 3e558bffb9..08904d23d4 100644 --- a/web/app/components/app/annotation/view-annotation-modal/index.tsx +++ b/web/app/components/app/annotation/view-annotation-modal/index.tsx @@ -55,7 +55,7 @@ const ViewAnnotationModal: FC = ({ setHitHistoryList(data as HitHistoryItem[]) setTotal(total) } - catch (e) { + catch { } } diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx index 1dc6eaf117..d4357a0955 100644 --- a/web/app/components/app/app-publisher/index.tsx +++ b/web/app/components/app/app-publisher/index.tsx @@ -24,6 +24,7 @@ import { PortalToFollowElemContent, PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' +import { basePath } from '@/utils/var' import { fetchInstalledAppList } from '@/service/explore' import EmbeddedModal from '@/app/components/app/overview/embedded' import { useStore as useAppStore } from '@/app/components/app/store' @@ -75,7 +76,7 @@ const AppPublisher = ({ const appDetail = useAppStore(state => state.appDetail) const { app_base_url: appBaseURL = '', access_token: accessToken = '' } = appDetail?.site ?? {} const appMode = (appDetail?.mode !== 'completion' && appDetail?.mode !== 'workflow') ? 'chat' : appDetail.mode - const appURL = `${appBaseURL}/${appMode}/${accessToken}` + const appURL = `${appBaseURL}/${basePath}/${appMode}/${accessToken}` const isChatApp = ['chat', 'agent-chat', 'completion'].includes(appDetail?.mode || '') const language = useGetLanguage() @@ -120,7 +121,7 @@ const AppPublisher = ({ try { const { installed_apps }: any = await fetchInstalledAppList(appDetail?.id) || {} if (installed_apps?.length > 0) - window.open(`/explore/installed/${installed_apps[0].id}`, '_blank') + window.open(`${basePath}/explore/installed/${installed_apps[0].id}`, '_blank') else throw new Error('No app found in Explore') } @@ -230,7 +231,7 @@ const AppPublisher = ({ > {t('workflow.common.runApp')} - {appDetail?.mode === 'workflow' + {appDetail?.mode === 'workflow' || appDetail?.mode === 'completion' ? ( = ({ selectable: !hasSetBlockStatus.query, }} onChange={(value) => { - handleChange?.(value, []) + if (handleChange) + handleChange(value, []) }} onBlur={() => { handleChange(promptTemplate, getVars(promptTemplate)) diff --git a/web/app/components/app/configuration/config-prompt/style.module.css b/web/app/components/app/configuration/config-prompt/style.module.css index 66785620b3..224d59d9c8 100644 --- a/web/app/components/app/configuration/config-prompt/style.module.css +++ b/web/app/components/app/configuration/config-prompt/style.module.css @@ -25,4 +25,4 @@ .boxHeader:hover .optionWrap { display: flex; -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/config-var/config-select/index.spec.tsx b/web/app/components/app/configuration/config-var/config-select/index.spec.tsx new file mode 100644 index 0000000000..18df318de3 --- /dev/null +++ b/web/app/components/app/configuration/config-var/config-select/index.spec.tsx @@ -0,0 +1,82 @@ +import { fireEvent, render, screen } from '@testing-library/react' +import ConfigSelect from './index' + +jest.mock('react-sortablejs', () => ({ + ReactSortable: ({ children }: { children: React.ReactNode }) =>
{children}
, +})) + +jest.mock('react-i18next', () => ({ + useTranslation: () => ({ + t: (key: string) => key, + }), +})) + +describe('ConfigSelect Component', () => { + const defaultProps = { + options: ['Option 1', 'Option 2'], + onChange: jest.fn(), + } + + afterEach(() => { + jest.clearAllMocks() + }) + + it('renders all options', () => { + render() + + defaultProps.options.forEach((option) => { + expect(screen.getByDisplayValue(option)).toBeInTheDocument() + }) + }) + + it('renders add button', () => { + render() + + expect(screen.getByText('appDebug.variableConfig.addOption')).toBeInTheDocument() + }) + + it('handles option deletion', () => { + render() + const optionContainer = screen.getByDisplayValue('Option 1').closest('div') + const deleteButton = optionContainer?.querySelector('div[role="button"]') + + if (!deleteButton) return + fireEvent.click(deleteButton) + expect(defaultProps.onChange).toHaveBeenCalledWith(['Option 2']) + }) + + it('handles adding new option', () => { + render() + const addButton = screen.getByText('appDebug.variableConfig.addOption') + + fireEvent.click(addButton) + + expect(defaultProps.onChange).toHaveBeenCalledWith([...defaultProps.options, '']) + }) + + it('applies focus styles on input focus', () => { + render() + const firstInput = screen.getByDisplayValue('Option 1') + + fireEvent.focus(firstInput) + + expect(firstInput.closest('div')).toHaveClass('border-components-input-border-active') + }) + + it('applies delete hover styles', () => { + render() + const optionContainer = screen.getByDisplayValue('Option 1').closest('div') + const deleteButton = optionContainer?.querySelector('div[role="button"]') + + if (!deleteButton) return + fireEvent.mouseEnter(deleteButton) + expect(optionContainer).toHaveClass('border-components-input-border-destructive') + }) + + it('renders empty state correctly', () => { + render() + + expect(screen.queryByRole('textbox')).not.toBeInTheDocument() + expect(screen.getByText('appDebug.variableConfig.addOption')).toBeInTheDocument() + }) +}) diff --git a/web/app/components/app/configuration/config-var/config-select/index.tsx b/web/app/components/app/configuration/config-var/config-select/index.tsx index d2dc1662c1..40ddaef78f 100644 --- a/web/app/components/app/configuration/config-var/config-select/index.tsx +++ b/web/app/components/app/configuration/config-var/config-select/index.tsx @@ -51,7 +51,7 @@ const ConfigSelect: FC = ({ { const value = e.target.value @@ -67,6 +67,7 @@ const ConfigSelect: FC = ({ onBlur={() => setFocusID(null)} />
{ onChange(options.filter((_, i) => index !== i)) diff --git a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx index b638a2ebdf..4b773c01ba 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx @@ -73,7 +73,7 @@ const AgentTools: FC = () => { formattingChangedDispatcher() } - const handleToolAuthSetting = (value: any) => { + const handleToolAuthSetting = (value: AgentToolWithMoreInfo) => { const newModelConfig = produce(modelConfig, (draft) => { const tool = (draft.agentConfig.tools).find((item: any) => item.provider_id === value?.collection?.id && item.tool_name === value?.tool_name) if (tool) @@ -121,7 +121,7 @@ const AgentTools: FC = () => { } headerRight={
-
{tools.filter((item: any) => !!item.enabled).length}/{tools.length} {t('appDebug.agent.tools.enabled')}
+
{tools.filter(item => !!item.enabled).length}/{tools.length} {t('appDebug.agent.tools.enabled')}
{tools.length < MAX_TOOLS_NUM && ( <>
@@ -273,7 +273,7 @@ const AgentTools: FC = () => { {isShowSettingTool && ( { type: 'success', message: t('common.api.actionSuccess'), }) - handleToolAuthSetting(currentTool as any) + handleToolAuthSetting(currentTool) setShowSettingAuth(false) }} /> diff --git a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx index b63b7c75b8..952ad66fc4 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx @@ -56,8 +56,8 @@ const SettingBuiltInTool: FC = ({ const [tools, setTools] = useState([]) const currTool = tools.find(tool => tool.name === toolName) const formSchemas = currTool ? toolParametersToFormSchemas(currTool.parameters) : [] - const infoSchemas = formSchemas.filter((item: any) => item.form === 'llm') - const settingSchemas = formSchemas.filter((item: any) => item.form !== 'llm') + const infoSchemas = formSchemas.filter(item => item.form === 'llm') + const settingSchemas = formSchemas.filter(item => item.form !== 'llm') const hasSetting = settingSchemas.length > 0 const [tempSetting, setTempSetting] = useState(setting) const [currType, setCurrType] = useState('info') @@ -88,7 +88,7 @@ const SettingBuiltInTool: FC = ({ setTempSetting(addDefaultValue(setting, formSchemas)) } } - catch (e) { } + catch { } setIsLoading(false) })() }, [collection?.name, collection?.id, collection?.type]) @@ -99,7 +99,7 @@ const SettingBuiltInTool: FC = ({ const isValid = (() => { let valid = true - settingSchemas.forEach((item: any) => { + settingSchemas.forEach((item) => { if (item.required && !tempSetting[item.name]) valid = false }) @@ -120,7 +120,7 @@ const SettingBuiltInTool: FC = ({
{infoSchemas.length > 0 && (
- {infoSchemas.map((item: any, index) => ( + {infoSchemas.map((item, index) => (
{item.label[language]}
@@ -147,7 +147,7 @@ const SettingBuiltInTool: FC = ({
= ({ footer={null} mask={false} positionCenter={false} - panelClassname={cn('mb-2 mr-2 mt-[64px] !w-[420px] !max-w-[420px] justify-start rounded-2xl border-[0.5px] border-components-panel-border !bg-components-panel-bg !p-0 shadow-xl')} + panelClassName={cn('mb-2 mr-2 mt-[64px] !w-[420px] !max-w-[420px] justify-start rounded-2xl border-[0.5px] border-components-panel-border !bg-components-panel-bg !p-0 shadow-xl')} > <> {isLoading && } diff --git a/web/app/components/app/configuration/config/automatic/style.module.css b/web/app/components/app/configuration/config/automatic/style.module.css index 7ad3180a5a..15bedd84ca 100644 --- a/web/app/components/app/configuration/config/automatic/style.module.css +++ b/web/app/components/app/configuration/config/automatic/style.module.css @@ -4,4 +4,4 @@ -webkit-text-fill-color: transparent; background-clip: text; text-fill-color: transparent; -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/ctrl-btn-group/style.module.css b/web/app/components/app/configuration/ctrl-btn-group/style.module.css index c7250b8f96..3e874868a9 100644 --- a/web/app/components/app/configuration/ctrl-btn-group/style.module.css +++ b/web/app/components/app/configuration/ctrl-btn-group/style.module.css @@ -3,4 +3,4 @@ right: -16px; bottom: -16px; border-top: 1px solid #F3F4F6; -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/dataset-config/card-item/item.tsx b/web/app/components/app/configuration/dataset-config/card-item/item.tsx index d44fb145bb..65ad2ca941 100644 --- a/web/app/components/app/configuration/dataset-config/card-item/item.tsx +++ b/web/app/components/app/configuration/dataset-config/card-item/item.tsx @@ -97,7 +97,7 @@ const Item: FC = ({
- setShowSettingsModal(false)} footer={null} mask={isMobile} panelClassname='mt-16 mx-2 sm:mr-2 mb-3 !p-0 !max-w-[640px] rounded-xl'> + setShowSettingsModal(false)} footer={null} mask={isMobile} panelClassName='mt-16 mx-2 sm:mr-2 mb-3 !p-0 !max-w-[640px] rounded-xl'> setShowSettingsModal(false)} diff --git a/web/app/components/app/configuration/dataset-config/card-item/style.module.css b/web/app/components/app/configuration/dataset-config/card-item/style.module.css index 4ddec9ea37..da07056cbc 100644 --- a/web/app/components/app/configuration/dataset-config/card-item/style.module.css +++ b/web/app/components/app/configuration/dataset-config/card-item/style.module.css @@ -19,4 +19,4 @@ .settingBtn:hover { background-color: rgba(0, 0, 0, 0.05); -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx index 3b9078f1be..86025f68fa 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx @@ -368,8 +368,8 @@ const ConfigContent: FC = ({ provider={model?.provider} completionParams={model?.completion_params} modelId={model?.name} - setModel={onSingleRetrievalModelChange as any} - onCompletionParamsChange={onSingleRetrievalModelParamsChange as any} + setModel={onSingleRetrievalModelChange} + onCompletionParamsChange={onSingleRetrievalModelParamsChange} hideDebugWithMultipleModel debugWithMultipleModel={false} /> diff --git a/web/app/components/app/configuration/dataset-config/params-config/weighted-score.css b/web/app/components/app/configuration/dataset-config/params-config/weighted-score.css index 5bfea0cac9..ef9350645a 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/weighted-score.css +++ b/web/app/components/app/configuration/dataset-config/params-config/weighted-score.css @@ -4,4 +4,4 @@ .weightedScoreSliderTrack-1 { background: transparent !important; -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx index 64a7f6dc46..ffdb714f08 100644 --- a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx +++ b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx @@ -14,6 +14,7 @@ import Loading from '@/app/components/base/loading' import Badge from '@/app/components/base/badge' import { useKnowledge } from '@/hooks/use-knowledge' import cn from '@/utils/classnames' +import { basePath } from '@/utils/var' export type ISelectDataSetProps = { isShow: boolean @@ -111,7 +112,7 @@ const SelectDataSet: FC = ({ }} > {t('appDebug.feature.dataSet.noDataSet')} - {t('appDebug.feature.dataSet.toCreate')} + {t('appDebug.feature.dataSet.toCreate')}
)} diff --git a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx index 05290a32cc..3170d33a82 100644 --- a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx +++ b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx @@ -4,7 +4,6 @@ import { useMount } from 'ahooks' import { useTranslation } from 'react-i18next' import { isEqual } from 'lodash-es' import { RiCloseLine } from '@remixicon/react' -import { BookOpenIcon } from '@heroicons/react/24/outline' import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development' import cn from '@/utils/classnames' import IndexMethodRadio from '@/app/components/datasets/settings/index-method-radio' @@ -62,13 +61,13 @@ const SettingsModal: FC = ({ const { notify } = useToastContext() const ref = useRef(null) const isExternal = currentDataset.provider === 'external' - const [topK, setTopK] = useState(currentDataset?.external_retrieval_model.top_k ?? 2) - const [scoreThreshold, setScoreThreshold] = useState(currentDataset?.external_retrieval_model.score_threshold ?? 0.5) - const [scoreThresholdEnabled, setScoreThresholdEnabled] = useState(currentDataset?.external_retrieval_model.score_threshold_enabled ?? false) const { setShowAccountSettingModal } = useModalContext() const [loading, setLoading] = useState(false) const { isCurrentWorkspaceDatasetOperator } = useAppContext() const [localeCurrentDataset, setLocaleCurrentDataset] = useState({ ...currentDataset }) + const [topK, setTopK] = useState(localeCurrentDataset?.external_retrieval_model.top_k ?? 2) + const [scoreThreshold, setScoreThreshold] = useState(localeCurrentDataset?.external_retrieval_model.score_threshold ?? 0.5) + const [scoreThresholdEnabled, setScoreThresholdEnabled] = useState(localeCurrentDataset?.external_retrieval_model.score_threshold_enabled ?? false) const [selectedMemberIDs, setSelectedMemberIDs] = useState(currentDataset.partial_member_list || []) const [memberList, setMemberList] = useState([]) @@ -88,6 +87,14 @@ const SettingsModal: FC = ({ setScoreThreshold(data.score_threshold) if (data.score_threshold_enabled !== undefined) setScoreThresholdEnabled(data.score_threshold_enabled) + + setLocaleCurrentDataset({ + ...localeCurrentDataset, + external_retrieval_model: { + ...localeCurrentDataset?.external_retrieval_model, + ...data, + }, + }) } const handleSave = async () => { @@ -150,7 +157,7 @@ const SettingsModal: FC = ({ retrieval_model_dict: retrievalConfig, }) } - catch (e) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) } finally { @@ -215,10 +222,6 @@ const SettingsModal: FC = ({ className='resize-none' placeholder={t('datasetSettings.form.descPlaceholder') || ''} /> - - - {t('datasetSettings.form.descWrite')} -
diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx index e74dff4099..17d04acdc7 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx @@ -8,6 +8,7 @@ import ModelParameterModal from '@/app/components/header/account-setting/model-p import ModelIcon from '@/app/components/header/account-setting/model-provider-page/model-icon' import ModelName from '@/app/components/header/account-setting/model-provider-page/model-name' import { + type FormValue, MODEL_STATUS_TEXT, ModelStatusEnum, } from '@/app/components/header/account-setting/model-provider-page/declarations' @@ -45,7 +46,7 @@ const ModelParameterTrigger: FC = ({ } onMultipleModelConfigsChange(true, newModelConfigs) } - const handleParamsChange = (params: any) => { + const handleParamsChange = (params: FormValue) => { const newModelConfigs = [...multipleModelConfigs] newModelConfigs[index] = { ...newModelConfigs[index], diff --git a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx index bb60648adb..d439b00939 100644 --- a/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx +++ b/web/app/components/app/configuration/debug/debug-with-single-model/index.tsx @@ -21,6 +21,7 @@ import { useFeatures } from '@/app/components/base/features/hooks' import { getLastAnswer, isValidGeneratedAnswer } from '@/app/components/base/chat/utils' import type { InputForm } from '@/app/components/base/chat/chat/type' import { canFindTool } from '@/utils' +import type { FileEntity } from '@/app/components/base/file-uploader/types' type DebugWithSingleModelProps = { checkCanSend?: () => boolean @@ -125,10 +126,14 @@ const DebugWithSingleModel = ( ) }, [appId, chatList, checkCanSend, completionParams, config, handleSend, inputs, modelConfig.mode, modelConfig.model_id, modelConfig.provider, textGenerationModelList]) - const doRegenerate = useCallback((chatItem: ChatItemInTree) => { - const question = chatList.find(item => item.id === chatItem.parentMessageId)! + const doRegenerate = useCallback((chatItem: ChatItemInTree, editedQuestion?: { message: string, files?: FileEntity[] }) => { + const question = editedQuestion ? chatItem : chatList.find(item => item.id === chatItem.parentMessageId)! const parentAnswer = chatList.find(item => item.id === question.parentMessageId) - doSend(question.content, question.message_files, true, isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null) + doSend(editedQuestion ? editedQuestion.message : question.content, + editedQuestion ? editedQuestion.files : question.message_files, + true, + isValidGeneratedAnswer(parentAnswer) ? parentAnswer : null, + ) }, [chatList, doSend]) const allToolIcons = useMemo(() => { diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx index 249624a294..5b8f8659f8 100644 --- a/web/app/components/app/configuration/index.tsx +++ b/web/app/components/app/configuration/index.tsx @@ -2,6 +2,7 @@ import type { FC } from 'react' import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react' import useSWR from 'swr' +import { basePath } from '@/utils/var' import { useTranslation } from 'react-i18next' import { useContext } from 'use-context-selector' import { usePathname } from 'next/navigation' @@ -227,7 +228,7 @@ const Configuration: FC = () => { }, [modelModeType]) const [dataSets, setDataSets] = useState([]) - const contextVar = modelConfig.configs.prompt_variables.find((item: any) => item.is_context_var)?.key + const contextVar = modelConfig.configs.prompt_variables.find(item => item.is_context_var)?.key const hasSetContextVar = !!contextVar const [isShowSelectDataSet, { setTrue: showSelectDataSet, setFalse: hideSelectDataSet }] = useBoolean(false) const selectedIds = dataSets.map(item => item.id) @@ -245,7 +246,7 @@ const Configuration: FC = () => { formattingChangedDispatcher() let newDatasets = data if (data.find(item => !item.name)) { // has not loaded selected dataset - const newSelected = produce(data, (draft: any) => { + const newSelected = produce(data, (draft) => { data.forEach((item, index) => { if (!item.name) { // not fetched database const newItem = dataSets.find(i => i.id === item.id) @@ -503,6 +504,12 @@ const Configuration: FC = () => { useEffect(() => { (async () => { const collectionList = await fetchCollectionList() + if (basePath) { + collectionList.forEach((item) => { + if (typeof item.icon == 'string' && !item.icon.includes(basePath)) + item.icon = `${basePath}${item.icon}` + }) + } setCollectionList(collectionList) fetchAppDetail({ url: '/apps', id: appId }).then(async (res: any) => { setMode(res.mode) @@ -513,7 +520,7 @@ const Configuration: FC = () => { if (modelConfig.chat_prompt_config && modelConfig.chat_prompt_config.prompt.length > 0) setChatPromptConfig(modelConfig.chat_prompt_config) else - setChatPromptConfig(clone(DEFAULT_CHAT_PROMPT_CONFIG) as any) + setChatPromptConfig(clone(DEFAULT_CHAT_PROMPT_CONFIG)) setCompletionPromptConfig(modelConfig.completion_prompt_config || clone(DEFAULT_COMPLETION_PROMPT_CONFIG) as any) setCanReturnToSimpleMode(false) } diff --git a/web/app/components/app/configuration/prompt-value-panel/index.tsx b/web/app/components/app/configuration/prompt-value-panel/index.tsx index 49d69d4fc0..e509ee50e4 100644 --- a/web/app/components/app/configuration/prompt-value-panel/index.tsx +++ b/web/app/components/app/configuration/prompt-value-panel/index.tsx @@ -79,7 +79,7 @@ const PromptValuePanel: FC = ({ } const onClear = () => { - const newInputs: Record = {} + const newInputs: Inputs = {} promptVariables.forEach((item) => { newInputs[item.key] = '' }) diff --git a/web/app/components/app/configuration/style.module.css b/web/app/components/app/configuration/style.module.css index f0e57cefbf..01f2c93167 100644 --- a/web/app/components/app/configuration/style.module.css +++ b/web/app/components/app/configuration/style.module.css @@ -11,4 +11,4 @@ height: 3px; background-color: rgba(68, 76, 231, 0.18); transform: skewX(-30deg); -} \ No newline at end of file +} diff --git a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx index 9040de1b29..ee4bd57325 100644 --- a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx +++ b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx @@ -151,7 +151,7 @@ const ExternalDataToolModal: FC = ({ return } - if (localeData.variable && !/[a-zA-Z_][a-zA-Z0-9_]{0,29}/g.test(localeData.variable)) { + if (localeData.variable && !/[a-zA-Z_]\w{0,29}/g.test(localeData.variable)) { notify({ type: 'error', message: t('appDebug.varKeyError.notValid', { key: t('appDebug.feature.tools.modal.variableName.title') }) }) return } diff --git a/web/app/components/app/configuration/tools/index.tsx b/web/app/components/app/configuration/tools/index.tsx index cc34041ba3..ba586bb20d 100644 --- a/web/app/components/app/configuration/tools/index.tsx +++ b/web/app/components/app/configuration/tools/index.tsx @@ -87,7 +87,7 @@ const Tools = () => {
setExpanded(v => !v)} diff --git a/web/app/components/app/create-app-dialog/app-list/index.tsx b/web/app/components/app/create-app-dialog/app-list/index.tsx index 8b4b0cdbad..0b0b325d9a 100644 --- a/web/app/components/app/create-app-dialog/app-list/index.tsx +++ b/web/app/components/app/create-app-dialog/app-list/index.tsx @@ -153,7 +153,7 @@ const Apps = ({ localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') getRedirection(isCurrentWorkspaceEditor, { id: app.app_id!, mode }, push) } - catch (e) { + catch { Toast.notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } } @@ -191,14 +191,16 @@ const Apps = ({
{!searchKeywords &&
- { setCurrCategory(category) }} onCreateFromBlank={onCreateFromBlank} /> + { setCurrCategory(category) }} onCreateFromBlank={onCreateFromBlank} />
}
{searchFilteredList && searchFilteredList.length > 0 && <>
{searchKeywords ?

{searchFilteredList.length > 1 ? t('app.newApp.foundResults', { count: searchFilteredList.length }) : t('app.newApp.foundResult', { count: searchFilteredList.length })}

- : } + :
+ +
}
void + current: AppCategories | string + categories: string[] + onClick?: (category: AppCategories | string) => void onCreateFromBlank?: () => void } -export default function Sidebar({ current, onClick, onCreateFromBlank }: SidebarProps) { +export default function Sidebar({ current, categories, onClick, onCreateFromBlank }: SidebarProps) { const { t } = useTranslation() return
-
    +
    -
    {t('app.newAppFromTemplate.byCategories')}
    +
    {t('app.newAppFromTemplate.byCategories')}
      - - - - - - + {categories.map(category => ())}
    @@ -45,47 +35,26 @@ export default function Sidebar({ current, onClick, onCreateFromBlank }: Sidebar type CategoryItemProps = { active: boolean - category: AppCategories - onClick?: (category: AppCategories) => void + category: AppCategories | string + onClick?: (category: AppCategories | string) => void } function CategoryItem({ category, active, onClick }: CategoryItemProps) { return
  • { onClick?.(category) }}> -
    - -
    + {category === AppCategories.RECOMMENDED &&
    + +
    }
    • } type AppCategoryLabelProps = { - category: AppCategories + category: AppCategories | string className?: string } export function AppCategoryLabel({ category, className }: AppCategoryLabelProps) { const { t } = useTranslation() - return {t(`app.newAppFromTemplate.sidebar.${category}`)} -} - -type AppCategoryIconProps = { - category: AppCategories -} -function AppCategoryIcon({ category }: AppCategoryIconProps) { - if (category === AppCategories.AGENT) - return - if (category === AppCategories.ASSISTANT) - return - if (category === AppCategories.HR) - return - if (category === AppCategories.PROGRAMMING) - return - if (category === AppCategories.RECOMMENDED) - return - if (category === AppCategories.WRITING) - return - if (category === AppCategories.WORKFLOW) - return - return + return {category === AppCategories.RECOMMENDED ? t('app.newAppFromTemplate.sidebar.Recommended') : category} } diff --git a/web/app/components/app/create-app-modal/index.tsx b/web/app/components/app/create-app-modal/index.tsx index 51a57cba93..88bccc95af 100644 --- a/web/app/components/app/create-app-modal/index.tsx +++ b/web/app/components/app/create-app-modal/index.tsx @@ -14,6 +14,7 @@ import type { AppIconSelection } from '../../base/app-icon-picker' import Button from '@/app/components/base/button' import Divider from '@/app/components/base/divider' import cn from '@/utils/classnames' +import { basePath } from '@/utils/var' import AppsContext, { useAppContext } from '@/context/app-context' import { useProviderContext } from '@/context/provider-context' import { ToastContext } from '@/app/components/base/toast' @@ -90,7 +91,7 @@ function CreateApp({ onClose, onSuccess, onCreateFromTemplate }: CreateAppProps) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') getRedirection(isCurrentWorkspaceEditor, app, push) } - catch (e) { + catch { notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } isCreatingRef.current = false @@ -287,7 +288,6 @@ type AppTypeCardProps = { onClick: () => void } function AppTypeCard({ icon, title, description, active, onClick }: AppTypeCardProps) { - const { t } = useTranslation() return
    - - - + + + App Screen Shot diff --git a/web/app/components/app/create-from-dsl-modal/dsl-confirm-modal.tsx b/web/app/components/app/create-from-dsl-modal/dsl-confirm-modal.tsx new file mode 100644 index 0000000000..e6aadaa326 --- /dev/null +++ b/web/app/components/app/create-from-dsl-modal/dsl-confirm-modal.tsx @@ -0,0 +1,46 @@ +import { useTranslation } from 'react-i18next' +import Modal from '@/app/components/base/modal' +import Button from '@/app/components/base/button' + +type DSLConfirmModalProps = { + versions?: { + importedVersion: string + systemVersion: string + } + onCancel: () => void + onConfirm: () => void + confirmDisabled?: boolean +} +const DSLConfirmModal = ({ + versions = { importedVersion: '', systemVersion: '' }, + onCancel, + onConfirm, + confirmDisabled = false, +}: DSLConfirmModalProps) => { + const { t } = useTranslation() + + return ( + onCancel()} + className='w-[480px]' + > +
    +
    {t('app.newApp.appCreateDSLErrorTitle')}
    +
    +
    {t('app.newApp.appCreateDSLErrorPart1')}
    +
    {t('app.newApp.appCreateDSLErrorPart2')}
    +
    +
    {t('app.newApp.appCreateDSLErrorPart3')}{versions.importedVersion}
    +
    {t('app.newApp.appCreateDSLErrorPart4')}{versions.systemVersion}
    +
    +
    +
    + + +
    +     + ) +} + +export default DSLConfirmModal diff --git a/web/app/components/app/log-annotation/index.tsx b/web/app/components/app/log-annotation/index.tsx index 167668fe7e..12a611eea8 100644 --- a/web/app/components/app/log-annotation/index.tsx +++ b/web/app/components/app/log-annotation/index.tsx @@ -30,7 +30,7 @@ const LogAnnotation: FC = ({ { value: PageType.log, text: t('appLog.title') }, { value: PageType.annotation, text: t('appAnnotation.title') }, ] - }, [appDetail]) + }, [appDetail?.mode, t]) if (!appDetail) { return ( diff --git a/web/app/components/app/log/index.tsx b/web/app/components/app/log/index.tsx index 8e523b7cf8..13be294bef 100644 --- a/web/app/components/app/log/index.tsx +++ b/web/app/components/app/log/index.tsx @@ -7,6 +7,7 @@ import { usePathname } from 'next/navigation' import { useDebounce } from 'ahooks' import { omit } from 'lodash-es' import dayjs from 'dayjs' +import { basePath } from '@/utils/var' import { Trans, useTranslation } from 'react-i18next' import List from './list' import Filter, { TIME_PERIOD_MAPPING } from './filter' @@ -109,7 +110,7 @@ const Logs: FC = ({ appDetail }) => { ? : total > 0 ? - : + : } {/* Show Pagination only if the total is more than the limit */} {(total && total > APP_PAGE_LIMIT) diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index c4e46af107..7ce164c01b 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -429,6 +429,7 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { text_to_speech: { enabled: true, }, + questionEditEnable: false, supportAnnotation: true, annotation_reply: { enabled: true, @@ -484,6 +485,7 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { text_to_speech: { enabled: true, }, + questionEditEnable: false, supportAnnotation: true, annotation_reply: { enabled: true, @@ -547,7 +549,7 @@ const CompletionConversationDetailComp: FC<{ appId?: string; conversationId?: st notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) return true } - catch (err) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) return false } @@ -560,7 +562,7 @@ const CompletionConversationDetailComp: FC<{ appId?: string; conversationId?: st notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) return true } - catch (err) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) return false } @@ -591,7 +593,7 @@ const ChatConversationDetailComp: FC<{ appId?: string; conversationId?: string } notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) return true } - catch (err) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) return false } @@ -603,7 +605,7 @@ const ChatConversationDetailComp: FC<{ appId?: string; conversationId?: string } notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) return true } - catch (err) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) return false } @@ -743,7 +745,7 @@ const ConversationList: FC = ({ logs, appDetail, onRefresh }) onClose={onCloseDrawer} mask={isMobile} footer={null} - panelClassname='mt-16 mx-2 sm:mr-2 mb-4 !p-0 !max-w-[640px] rounded-xl bg-components-panel-bg' + panelClassName='mt-16 mx-2 sm:mr-2 mb-4 !p-0 !max-w-[640px] rounded-xl bg-components-panel-bg' > { diff --git a/web/app/components/app/overview/embedded/index.tsx b/web/app/components/app/overview/embedded/index.tsx index cb00c98355..691b727b8e 100644 --- a/web/app/components/app/overview/embedded/index.tsx +++ b/web/app/components/app/overview/embedded/index.tsx @@ -13,6 +13,7 @@ import { IS_CE_EDITION } from '@/config' import type { SiteInfo } from '@/models/share' import { useThemeContext } from '@/app/components/base/chat/embedded-chatbot/theme/theme-context' import ActionButton from '@/app/components/base/action-button' +import { basePath } from '@/utils/var' import cn from '@/utils/classnames' type Props = { @@ -28,7 +29,7 @@ const OPTION_MAP = { iframe: { getContent: (url: string, token: string) => `