diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh index d879876d8a..cc8eb552b0 100755 --- a/.devcontainer/post_create_command.sh +++ b/.devcontainer/post_create_command.sh @@ -1,13 +1,13 @@ #!/bin/bash -npm add -g pnpm@9.12.2 +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 up -d"' >> ~/.bashrc -echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.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 source /home/vscode/.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/.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/workflows/api-tests.yml b/.github/workflows/api-tests.yml index b9547b6452..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: @@ -27,35 +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 "\`\`\`" >> $GITHUB_STEP_SUMMARY - name: Run dify config tests - run: poetry run -P api python dev/pytest/pytest_config_tests.py + run: uv run --project api dev/pytest/pytest_config_tests.py - - name: Run mypy - run: | - poetry run -C api python -m mypy --install-types --non-interactive . + - name: MyPy Cache + uses: actions/cache@v4 + with: + path: api/.mypy_cache + key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }} + + - name: Run MyPy Checks + run: dev/mypy-check - name: Set up dotenvs run: | @@ -75,4 +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 d73a782c93..98e5fd5150 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -18,7 +18,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -29,24 +28,27 @@ 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 ./ - poetry run -C api ruff format --check ./ + uv run --directory api ruff --version + uv run --directory api ruff check ./ + uv run --directory api ruff format --check ./ - 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 +65,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -82,7 +83,7 @@ jobs: uses: actions/setup-node@v4 if: steps.changed-files.outputs.any_changed == 'true' with: - node-version: 20 + node-version: 22 cache: pnpm cache-dependency-path: ./web/package.json @@ -102,7 +103,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -133,7 +133,6 @@ jobs: - name: Checkout code uses: actions/checkout@v4 with: - fetch-depth: 0 persist-credentials: false - name: Check changed files @@ -153,6 +152,7 @@ jobs: env: BASH_SEVERITY: warning DEFAULT_BRANCH: main + FILTER_REGEX_INCLUDE: pnpm-lock.yaml GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} IGNORE_GENERATED_FILES: true IGNORE_GITIGNORED_FILES: true diff --git a/.github/workflows/tool-test-sdks.yaml b/.github/workflows/tool-test-sdks.yaml index 93edb2737a..b1ccd7417a 100644 --- a/.github/workflows/tool-test-sdks.yaml +++ b/.github/workflows/tool-test-sdks.yaml @@ -18,7 +18,7 @@ jobs: strategy: matrix: - node-version: [16, 18, 20] + node-version: [16, 18, 20, 22] defaults: run: @@ -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/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml index 80b78a1311..3f8082eb69 100644 --- a/.github/workflows/translate-i18n-base-on-english.yml +++ b/.github/workflows/translate-i18n-base-on-english.yml @@ -33,7 +33,7 @@ jobs: - name: Set up Node.js if: env.FILES_CHANGED == 'true' - uses: actions/setup-node@v2 + uses: actions/setup-node@v4 with: node-version: 'lts/*' 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 acee26af2f..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 @@ -31,7 +30,9 @@ jobs: uses: tj-actions/changed-files@v45 with: files: web/** + - name: Install pnpm + if: steps.changed-files.outputs.any_changed == 'true' uses: pnpm/action-setup@v4 with: version: 10 @@ -41,7 +42,7 @@ jobs: uses: actions/setup-node@v4 if: steps.changed-files.outputs.any_changed == 'true' with: - node-version: 20 + node-version: 22 cache: pnpm cache-dependency-path: ./web/package.json 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/README.md b/README.md index 87ebc9bafc..65e8001dd2 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Dify Cloud · Self-hosting · Documentation · - Enterprise inquiry + Dify edition overview

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 33e34423ff..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

@@ -254,8 +254,6 @@ docker compose up -d - [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。 - [X(Twitter)](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。 - [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。 - - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。 -wechat ## 安全问题 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..caa5975973 100644 --- a/README_SI.md +++ b/README_SI.md @@ -8,7 +8,7 @@ Dify Cloud · Samostojno gostovanje · Dokumentacija · - Povpraševanje za podjetja + Pregled ponudb izdelkov Dify

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/.env.example b/api/.env.example index e7e704e135..b5820fcdc2 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 @@ -189,6 +190,7 @@ TENCENT_VECTOR_DB_USERNAME=dify TENCENT_VECTOR_DB_DATABASE=dify TENCENT_VECTOR_DB_SHARD=1 TENCENT_VECTOR_DB_REPLICAS=2 +TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false # ElasticSearch configuration ELASTICSEARCH_HOST=127.0.0.1 @@ -325,6 +327,7 @@ UPLOAD_AUDIO_FILE_SIZE_LIMIT=50 MULTIMODAL_SEND_FORMAT=base64 PROMPT_GENERATION_MAX_TOKENS=512 CODE_GENERATION_MAX_TOKENS=1024 +PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false # Mail configuration, support: resend, smtp MAIL_TYPE= @@ -421,6 +424,12 @@ 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 @@ -461,3 +470,19 @@ 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..9648d770ab 100644 --- a/api/app_factory.py +++ b/api/app_factory.py @@ -51,8 +51,11 @@ def initialize_extensions(app: DifyApp): ext_login, ext_mail, ext_migrate, + ext_otel, + ext_otel_patch, ext_proxy_fix, ext_redis, + ext_repositories, ext_sentry, ext_set_secretkey, ext_storage, @@ -73,6 +76,7 @@ def initialize_extensions(app: DifyApp): ext_migrate, ext_redis, ext_storage, + ext_repositories, ext_celery, ext_login, ext_mail, @@ -81,6 +85,8 @@ def initialize_extensions(app: DifyApp): ext_proxy_fix, ext_blueprints, ext_commands, + ext_otel_patch, # Apply patch before initializing OpenTelemetry + ext_otel, ] for ext in extensions: short_name = ext.__name__.split(".")[-1] 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 46ded0244f..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): @@ -442,7 +442,7 @@ class LoggingConfig(BaseSettings): class ModelLoadBalanceConfig(BaseSettings): """ - Configuration for model load balancing + Configuration for model load balancing and token counting """ MODEL_LB_ENABLED: bool = Field( @@ -450,6 +450,11 @@ class ModelLoadBalanceConfig(BaseSettings): default=False, ) + PLUGIN_BASED_TOKEN_COUNTING_ENABLED: bool = Field( + description="Enable or disable plugin based token counting. If disabled, token counting will return 0.", + default=False, + ) + class BillingConfig(BaseSettings): """ @@ -514,6 +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): """ @@ -848,6 +858,11 @@ class AccountConfig(BaseSettings): default=5, ) + EDUCATION_ENABLED: bool = Field( + description="whether to enable education identity", + default=False, + ) + class FeatureConfig( # place the configs in alphabet order diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 15dfe0063b..c2ad24094a 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 @@ -263,6 +264,7 @@ class MiddlewareConfig( VectorStoreConfig, AnalyticdbConfig, ChromaConfig, + HuaweiCloudConfig, MilvusConfig, MyScaleConfig, OpenSearchConfig, 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/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/tencent_vector_config.py b/api/configs/middleware/vdb/tencent_vector_config.py index 9cf4d07f6f..a51823c3f3 100644 --- a/api/configs/middleware/vdb/tencent_vector_config.py +++ b/api/configs/middleware/vdb/tencent_vector_config.py @@ -48,3 +48,8 @@ class TencentVectorDBConfig(BaseSettings): description="Name of the specific Tencent Vector Database to connect to", default=None, ) + + TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH: bool = Field( + description="Enable hybrid search features", + default=False, + ) 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 0ef5a724b3..a33c7727dc 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="1.1.3", + default="1.3.0", ) 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..9162357466 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]) 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..fcd8ed1882 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 = "" @@ -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/app_import.py b/api/controllers/console/app/app_import.py index 47acb47a2c..a159d4c5c4 100644 --- a/api/controllers/console/app/app_import.py +++ b/api/controllers/console/app/app_import.py @@ -8,6 +8,7 @@ from werkzeug.exceptions import Forbidden from controllers.console.app.wraps import get_app_model from controllers.console.wraps import ( account_initialization_required, + cloud_edition_billing_resource_check, setup_required, ) from extensions.ext_database import db @@ -23,6 +24,7 @@ class AppImportApi(Resource): @login_required @account_initialization_required @marshal_with(app_import_fields) + @cloud_edition_billing_resource_check("apps") def post(self): # Check user role first if not current_user.is_editor: 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/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_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 773ee65727..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") @@ -99,53 +110,67 @@ class ForgotPasswordResetApi(Resource): parser.add_argument("password_confirm", type=valid_password, required=True, nullable=False, location="json") args = parser.parse_args() - new_password = args["new_password"] - password_confirm = args["password_confirm"] - - if str(new_password).strip() != str(password_confirm).strip(): + # Validate passwords match + if args["new_password"] != args["password_confirm"]: raise PasswordMismatchError() - token = args["token"] - reset_data = AccountService.get_reset_password_data(token) - - if reset_data is None: + # Validate token and get reset data + 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() - AccountService.revoke_reset_password_token(token) + # Revoke token to prevent reuse + AccountService.revoke_reset_password_token(args["token"]) + # Generate secure salt and hash password salt = secrets.token_bytes(16) - base64_salt = base64.b64encode(salt).decode() + password_hashed = hash_password(args["new_password"], salt) - password_hashed = hash_password(new_password, salt) - base64_password_hashed = base64.b64encode(password_hashed).decode() + email = reset_data.get("email", "") with Session(db.engine) as session: - account = session.execute(select(Account).filter_by(email=reset_data.get("email"))).scalar_one_or_none() - if account: - account.password = base64_password_hashed - account.password_salt = base64_salt - db.session.commit() - tenant = TenantService.get_join_tenants(account) - if not tenant and not FeatureService.get_system_features().is_allow_create_workspace: - tenant = TenantService.create_tenant(f"{account.name}'s Workspace") - TenantService.create_tenant_member(tenant, account, role="owner") - account.current_tenant = tenant - tenant_was_created.send(tenant) - else: - try: - account = AccountService.create_account_and_tenant( - email=reset_data.get("email", ""), - name=reset_data.get("email", ""), - password=password_confirm, - interface_language=languages[0], - ) - except WorkSpaceNotAllowedCreateError: - pass - except AccountRegisterError: - raise AccountInFreezeError() + account = session.execute(select(Account).filter_by(email=email)).scalar_one_or_none() + + if account: + self._update_existing_account(account, password_hashed, salt, session) + else: + self._create_new_account(email, args["password_confirm"]) return {"result": "success"} + def _update_existing_account(self, account, password_hashed, salt, session): + # Update existing account credentials + account.password = base64.b64encode(password_hashed).decode() + account.password_salt = base64.b64encode(salt).decode() + session.commit() + + # Create workspace if needed + if ( + not TenantService.get_join_tenants(account) + and FeatureService.get_system_features().is_allow_create_workspace + ): + tenant = TenantService.create_tenant(f"{account.name}'s Workspace") + TenantService.create_tenant_member(tenant, account, role="owner") + account.current_tenant = tenant + tenant_was_created.send(tenant) + + def _create_new_account(self, email, password): + # Create new account if allowed + try: + AccountService.create_account_and_tenant( + email=email, + name=email, + password=password, + interface_language=languages[0], + ) + except WorkSpaceNotAllowedCreateError: + pass + except AccountRegisterError: + raise AccountInFreezeError() + api.add_resource(ForgotPasswordSendEmailApi, "/forgot-password") api.add_resource(ForgotPasswordCheckApi, "/forgot-password/validity") 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 396dae7a57..752d124735 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -641,7 +641,6 @@ class DatasetRetrievalSettingApi(Resource): VectorType.RELYT | VectorType.TIDB_VECTOR | VectorType.CHROMA - | VectorType.TENCENT | VectorType.PGVECTO_RS | VectorType.BAIDU | VectorType.VIKINGDB @@ -665,6 +664,8 @@ class DatasetRetrievalSettingApi(Resource): | VectorType.OPENGAUSS | VectorType.OCEANBASE | VectorType.TABLESTORE + | VectorType.HUAWEI_CLOUD + | VectorType.TENCENT ): return { "retrieval_method": [ @@ -688,7 +689,6 @@ class DatasetRetrievalSettingMockApi(Resource): | VectorType.RELYT | VectorType.TIDB_VECTOR | VectorType.CHROMA - | VectorType.TENCENT | VectorType.PGVECTO_RS | VectorType.BAIDU | VectorType.VIKINGDB @@ -710,6 +710,8 @@ class DatasetRetrievalSettingMockApi(Resource): | VectorType.OPENGAUSS | VectorType.OCEANBASE | VectorType.TABLESTORE + | VectorType.TENCENT + | VectorType.HUAWEI_CLOUD ): return { "retrieval_method": [ diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py index 1b38d0776a..696aaa94db 100644 --- a/api/controllers/console/datasets/datasets_segments.py +++ b/api/controllers/console/datasets/datasets_segments.py @@ -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 diff --git a/api/controllers/console/datasets/external.py b/api/controllers/console/datasets/external.py index 48f360dcd1..2c031172bf 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 diff --git a/api/controllers/console/datasets/metadata.py b/api/controllers/console/datasets/metadata.py index 14183a1e67..fc9711169f 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 diff --git a/api/controllers/console/datasets/website.py b/api/controllers/console/datasets/website.py index da995537e7..33c926b4c9 100644 --- a/api/controllers/console/datasets/website.py +++ b/api/controllers/console/datasets/website.py @@ -14,7 +14,12 @@ class WebsiteCrawlApi(Resource): def post(self): parser = reqparse.RequestParser() parser.add_argument( - "provider", type=str, choices=["firecrawl", "jinareader"], required=True, nullable=True, location="json" + "provider", + type=str, + choices=["firecrawl", "watercrawl", "jinareader"], + required=True, + nullable=True, + location="json", ) parser.add_argument("url", type=str, required=True, nullable=True, location="json") parser.add_argument("options", type=dict, required=True, nullable=True, location="json") @@ -34,7 +39,9 @@ class WebsiteCrawlStatusApi(Resource): @account_initialization_required def get(self, job_id: str): parser = reqparse.RequestParser() - parser.add_argument("provider", type=str, choices=["firecrawl", "jinareader"], required=True, location="args") + parser.add_argument( + "provider", type=str, choices=["firecrawl", "watercrawl", "jinareader"], required=True, location="args" + ) args = parser.parse_args() # get crawl status try: diff --git a/api/controllers/console/error.py b/api/controllers/console/error.py index bd4ae9dc7f..b8fd1f0358 100644 --- a/api/controllers/console/error.py +++ b/api/controllers/console/error.py @@ -103,6 +103,18 @@ class AccountInFreezeError(BaseHTTPException): ) +class EducationVerifyLimitError(BaseHTTPException): + error_code = "education_verify_limit" + description = "Rate limit exceeded" + code = 429 + + +class EducationActivateLimitError(BaseHTTPException): + error_code = "education_activate_limit" + description = "Rate limit exceeded" + code = 429 + + class CompilanceRateLimitError(BaseHTTPException): error_code = "compilance_rate_limit" description = "Rate limit exceeded for downloading compliance report." 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/workspace/account.py b/api/controllers/console/workspace/account.py index f1ec0f3d29..e9c25e6c5b 100644 --- a/api/controllers/console/workspace/account.py +++ b/api/controllers/console/workspace/account.py @@ -15,7 +15,13 @@ from controllers.console.workspace.error import ( InvalidInvitationCodeError, RepeatPasswordNotMatchError, ) -from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required +from controllers.console.wraps import ( + account_initialization_required, + cloud_edition_billing_enabled, + enterprise_license_required, + only_edition_cloud, + setup_required, +) from extensions.ext_database import db from fields.member_fields import account_fields from libs.helper import TimestampField, timezone @@ -280,8 +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") @@ -292,6 +296,79 @@ class AccountDeleteUpdateFeedbackApi(Resource): return {"result": "success"} +class EducationVerifyApi(Resource): + verify_fields = { + "token": fields.String, + } + + @setup_required + @login_required + @account_initialization_required + @only_edition_cloud + @cloud_edition_billing_enabled + @marshal_with(verify_fields) + def get(self): + account = current_user + + return BillingService.EducationIdentity.verify(account.id, account.email) + + +class EducationApi(Resource): + status_fields = { + "result": fields.Boolean, + } + + @setup_required + @login_required + @account_initialization_required + @only_edition_cloud + @cloud_edition_billing_enabled + def post(self): + account = current_user + + parser = reqparse.RequestParser() + parser.add_argument("token", type=str, required=True, location="json") + parser.add_argument("institution", type=str, required=True, location="json") + parser.add_argument("role", type=str, required=True, location="json") + args = parser.parse_args() + + return BillingService.EducationIdentity.activate(account, args["token"], args["institution"], args["role"]) + + @setup_required + @login_required + @account_initialization_required + @only_edition_cloud + @cloud_edition_billing_enabled + @marshal_with(status_fields) + def get(self): + account = current_user + + return BillingService.EducationIdentity.is_active(account.id) + + +class EducationAutoCompleteApi(Resource): + data_fields = { + "data": fields.List(fields.String), + "curr_page": fields.Integer, + "has_next": fields.Boolean, + } + + @setup_required + @login_required + @account_initialization_required + @only_edition_cloud + @cloud_edition_billing_enabled + @marshal_with(data_fields) + def get(self): + parser = reqparse.RequestParser() + parser.add_argument("keywords", type=str, required=True, location="args") + parser.add_argument("page", type=int, required=False, location="args", default=0) + parser.add_argument("limit", type=int, required=False, location="args", default=20) + args = parser.parse_args() + + return BillingService.EducationIdentity.autocomplete(args["keywords"], args["page"], args["limit"]) + + # Register API resources api.add_resource(AccountInitApi, "/account/init") api.add_resource(AccountProfileApi, "/account/profile") @@ -305,5 +382,8 @@ api.add_resource(AccountIntegrateApi, "/account/integrates") api.add_resource(AccountDeleteVerifyApi, "/account/delete/verify") api.add_resource(AccountDeleteApi, "/account/delete") api.add_resource(AccountDeleteUpdateFeedbackApi, "/account/delete/feedback") +api.add_resource(EducationVerifyApi, "/account/education/verify") +api.add_resource(EducationApi, "/account/education") +api.add_resource(EducationAutoCompleteApi, "/account/education/autocomplete") # api.add_resource(AccountEmailApi, '/account/email') # api.add_resource(AccountEmailVerifyApi, '/account/email-verify') diff --git a/api/controllers/console/workspace/endpoint.py b/api/controllers/console/workspace/endpoint.py index a5bd2a4bcf..46dee20f8b 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.manager.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 f4c32ede2b..e9c1884c60 100644 --- a/api/controllers/console/workspace/plugin.py +++ b/api/controllers/console/workspace/plugin.py @@ -49,6 +49,23 @@ class PluginListApi(Resource): return jsonable_encoder({"plugins": plugins}) +class PluginListLatestVersionsApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + req = reqparse.RequestParser() + req.add_argument("plugin_ids", type=list, required=True, location="json") + args = req.parse_args() + + try: + versions = PluginService.list_latest_versions(args["plugin_ids"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder({"versions": versions}) + + class PluginListInstallationsFromIdsApi(Resource): @setup_required @login_required @@ -232,11 +249,36 @@ 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 @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def get(self): tenant_id = current_user.current_tenant_id @@ -260,7 +302,7 @@ class PluginFetchInstallTasksApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def get(self): tenant_id = current_user.current_tenant_id @@ -281,7 +323,7 @@ class PluginFetchInstallTaskApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def get(self, task_id: str): tenant_id = current_user.current_tenant_id @@ -295,7 +337,7 @@ class PluginDeleteInstallTaskApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self, task_id: str): tenant_id = current_user.current_tenant_id @@ -309,7 +351,7 @@ class PluginDeleteAllInstallTaskItemsApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self): tenant_id = current_user.current_tenant_id @@ -323,7 +365,7 @@ class PluginDeleteInstallTaskItemApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self, task_id: str, identifier: str): tenant_id = current_user.current_tenant_id @@ -337,7 +379,7 @@ class PluginUpgradeFromMarketplaceApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self): tenant_id = current_user.current_tenant_id @@ -360,7 +402,7 @@ class PluginUpgradeFromGithubApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self): tenant_id = current_user.current_tenant_id @@ -391,7 +433,7 @@ class PluginUninstallApi(Resource): @setup_required @login_required @account_initialization_required - @plugin_permission_required(debug_required=True) + @plugin_permission_required(install_required=True) def post(self): req = reqparse.RequestParser() req.add_argument("plugin_installation_id", type=str, required=True, location="json") @@ -453,6 +495,7 @@ class PluginFetchPermissionApi(Resource): api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key") api.add_resource(PluginListApi, "/workspaces/current/plugin/list") +api.add_resource(PluginListLatestVersionsApi, "/workspaces/current/plugin/list/latest-versions") api.add_resource(PluginListInstallationsFromIdsApi, "/workspaces/current/plugin/list/installations/ids") api.add_resource(PluginIconApi, "/workspaces/current/plugin/icon") api.add_resource(PluginUploadFromPkgApi, "/workspaces/current/plugin/upload/pkg") @@ -470,6 +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/workspace/workspace.py b/api/controllers/console/workspace/workspace.py index 27fb5134ee..332ed00222 100644 --- a/api/controllers/console/workspace/workspace.py +++ b/api/controllers/console/workspace/workspace.py @@ -216,6 +216,23 @@ class WebappLogoWorkspaceApi(Resource): return {"id": upload_file.id}, 201 +class WorkspaceInfoApi(Resource): + @setup_required + @login_required + @account_initialization_required + # Change workspace name + def post(self): + parser = reqparse.RequestParser() + parser.add_argument("name", type=str, required=True, location="json") + args = parser.parse_args() + + tenant = Tenant.query.filter(Tenant.id == current_user.current_tenant_id).one_or_404() + tenant.name = args["name"] + db.session.commit() + + return {"result": "success", "tenant": marshal(WorkspaceService.get_tenant_info(tenant), tenant_fields)} + + api.add_resource(TenantListApi, "/workspaces") # GET for getting all tenants api.add_resource(WorkspaceListApi, "/all-workspaces") # GET for getting all tenants api.add_resource(TenantApi, "/workspaces/current", endpoint="workspaces_current") # GET for getting current tenant info @@ -223,3 +240,4 @@ api.add_resource(TenantApi, "/info", endpoint="info") # Deprecated api.add_resource(SwitchWorkspaceApi, "/workspaces/switch") # POST for switching tenant api.add_resource(CustomConfigWorkspaceApi, "/workspaces/custom-config") api.add_resource(WebappLogoWorkspaceApi, "/workspaces/custom-config/webapp-logo/upload") +api.add_resource(WorkspaceInfoApi, "/workspaces/info") # POST for changing workspace info diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py index ed6e16b035..e5e8038ad7 100644 --- a/api/controllers/console/wraps.py +++ b/api/controllers/console/wraps.py @@ -54,6 +54,17 @@ def only_edition_self_hosted(view): return decorated +def cloud_edition_billing_enabled(view): + @wraps(view) + def decorated(*args, **kwargs): + features = FeatureService.get_features(current_user.current_tenant_id) + if not features.billing.enabled: + abort(403, "Billing feature is not enabled.") + return view(*args, **kwargs) + + return decorated + + def cloud_edition_billing_resource_check(resource: str): def interceptor(view): @wraps(view) @@ -199,3 +210,16 @@ 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/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/__init__.py b/api/controllers/service_api/__init__.py index a754851c50..d97074e8b9 100644 --- a/api/controllers/service_api/__init__.py +++ b/api/controllers/service_api/__init__.py @@ -6,5 +6,6 @@ bp = Blueprint("service_api", __name__, url_prefix="/v1") api = ExternalApi(bp) from . import index -from .app import app, audio, completion, conversation, file, message, workflow +from .app import annotation, app, audio, completion, conversation, file, message, workflow from .dataset import dataset, document, hit_testing, metadata, segment, upload_file +from .workspace import models diff --git a/api/controllers/service_api/app/annotation.py b/api/controllers/service_api/app/annotation.py new file mode 100644 index 0000000000..cffa3665b1 --- /dev/null +++ b/api/controllers/service_api/app/annotation.py @@ -0,0 +1,107 @@ +from flask import request +from flask_restful import Resource, marshal, marshal_with, reqparse # type: ignore +from werkzeug.exceptions import Forbidden + +from controllers.service_api import api +from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token +from extensions.ext_redis import redis_client +from fields.annotation_fields import ( + annotation_fields, +) +from libs.login import current_user +from models.model import App, EndUser +from services.annotation_service import AppAnnotationService + + +class AnnotationReplyActionApi(Resource): + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) + def post(self, app_model: App, end_user: EndUser, action): + parser = reqparse.RequestParser() + parser.add_argument("score_threshold", required=True, type=float, location="json") + parser.add_argument("embedding_provider_name", required=True, type=str, location="json") + parser.add_argument("embedding_model_name", required=True, type=str, location="json") + args = parser.parse_args() + if action == "enable": + result = AppAnnotationService.enable_app_annotation(args, app_model.id) + elif action == "disable": + result = AppAnnotationService.disable_app_annotation(app_model.id) + else: + raise ValueError("Unsupported annotation reply action") + return result, 200 + + +class AnnotationReplyActionStatusApi(Resource): + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) + def get(self, app_model: App, end_user: EndUser, job_id, action): + job_id = str(job_id) + app_annotation_job_key = "{}_app_annotation_job_{}".format(action, str(job_id)) + cache_result = redis_client.get(app_annotation_job_key) + if cache_result is None: + raise ValueError("The job does not exist.") + + job_status = cache_result.decode() + error_msg = "" + if job_status == "error": + app_annotation_error_key = "{}_app_annotation_error_{}".format(action, str(job_id)) + error_msg = redis_client.get(app_annotation_error_key).decode() + + return {"job_id": job_id, "job_status": job_status, "error_msg": error_msg}, 200 + + +class AnnotationListApi(Resource): + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) + def get(self, app_model: App, end_user: EndUser): + page = request.args.get("page", default=1, type=int) + limit = request.args.get("limit", default=20, type=int) + keyword = request.args.get("keyword", default="", type=str) + + annotation_list, total = AppAnnotationService.get_annotation_list_by_app_id(app_model.id, page, limit, keyword) + response = { + "data": marshal(annotation_list, annotation_fields), + "has_more": len(annotation_list) == limit, + "limit": limit, + "total": total, + "page": page, + } + return response, 200 + + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON)) + @marshal_with(annotation_fields) + def post(self, app_model: App, end_user: EndUser): + parser = reqparse.RequestParser() + parser.add_argument("question", required=True, type=str, location="json") + parser.add_argument("answer", required=True, type=str, location="json") + args = parser.parse_args() + annotation = AppAnnotationService.insert_app_annotation_directly(args, app_model.id) + return annotation + + +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): + if not current_user.is_editor: + raise Forbidden() + + annotation_id = str(annotation_id) + parser = reqparse.RequestParser() + parser.add_argument("question", required=True, type=str, location="json") + parser.add_argument("answer", required=True, type=str, location="json") + args = parser.parse_args() + annotation = AppAnnotationService.update_app_annotation_directly(args, app_model.id, annotation_id) + return annotation + + @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY)) + def delete(self, app_model: App, end_user: EndUser, annotation_id): + if not current_user.is_editor: + raise Forbidden() + + annotation_id = str(annotation_id) + AppAnnotationService.delete_app_annotation(app_model.id, annotation_id) + return {"result": "success"}, 200 + + +api.add_resource(AnnotationReplyActionApi, "/apps/annotation-reply/") +api.add_resource(AnnotationReplyActionStatusApi, "/apps/annotation-reply//status/") +api.add_resource(AnnotationListApi, "/apps/annotations") +api.add_resource(AnnotationUpdateDeleteApi, "/apps/annotations/") 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/message.py b/api/controllers/service_api/app/message.py index 749099053d..95e538f4c7 100644 --- a/api/controllers/service_api/app/message.py +++ b/api/controllers/service_api/app/message.py @@ -1,3 +1,4 @@ +import json import logging from flask_restful import Resource, fields, marshal_with, reqparse # type: ignore @@ -10,7 +11,7 @@ from controllers.service_api.app.error import NotChatAppError from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token from core.app.entities.app_invoke_entities import InvokeFrom from fields.conversation_fields import message_file_fields -from fields.message_fields import agent_thought_fields, feedback_fields, retriever_resource_fields +from fields.message_fields import agent_thought_fields, feedback_fields from fields.raws import FilesContainedField from libs.helper import TimestampField, uuid_value from models.model import App, AppMode, EndUser @@ -28,7 +29,11 @@ class MessageListApi(Resource): "answer": fields.String(attribute="re_sign_file_url_answer"), "message_files": fields.List(fields.Nested(message_file_fields)), "feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True), - "retriever_resources": fields.List(fields.Nested(retriever_resource_fields)), + "retriever_resources": fields.Raw( + attribute=lambda obj: json.loads(obj.message_metadata).get("retriever_resources", []) + if obj.message_metadata + else [] + ), "created_at": TimestampField, "agent_thoughts": fields.List(fields.Nested(agent_thought_fields)), "status": fields.String, diff --git a/api/controllers/service_api/app/workflow.py b/api/controllers/service_api/app/workflow.py index 2854a43505..8b10a028f3 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 @@ -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 d813ae7ebd..e1e6f3168f 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -1,6 +1,6 @@ from flask import request from flask_restful import marshal, reqparse # type: ignore -from werkzeug.exceptions import NotFound +from werkzeug.exceptions import Forbidden, NotFound import services.dataset_service from controllers.service_api import api @@ -12,7 +12,8 @@ from core.provider_manager import ProviderManager 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 DatasetService +from services.dataset_service import DatasetPermissionService, DatasetService +from services.entities.knowledge_entities.knowledge_entities import RetrievalModel def _validate_name(name): @@ -21,6 +22,12 @@ def _validate_name(name): return name +def _validate_description_length(description): + if len(description) > 400: + raise ValueError("Description cannot exceed 400 characters.") + return description + + class DatasetListApi(DatasetApiResource): """Resource for datasets.""" @@ -114,8 +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, @@ -127,6 +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() @@ -137,6 +152,145 @@ class DatasetListApi(DatasetApiResource): class DatasetApi(DatasetApiResource): """Resource for dataset.""" + def get(self, _, dataset_id): + dataset_id_str = str(dataset_id) + dataset = DatasetService.get_dataset(dataset_id_str) + if dataset is None: + raise NotFound("Dataset not found.") + try: + DatasetService.check_dataset_permission(dataset, current_user) + except services.errors.account.NoPermissionError as e: + raise Forbidden(str(e)) + data = marshal(dataset, dataset_detail_fields) + if data.get("permission") == "partial_members": + part_users_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str) + data.update({"partial_member_list": part_users_list}) + + # check embedding setting + provider_manager = ProviderManager() + configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id) + + embedding_models = configurations.get_models(model_type=ModelType.TEXT_EMBEDDING, only_active=True) + + model_names = [] + for embedding_model in embedding_models: + model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}") + + if data["indexing_technique"] == "high_quality": + item_model = f"{data['embedding_model']}:{data['embedding_model_provider']}" + if item_model in model_names: + data["embedding_available"] = True + else: + data["embedding_available"] = False + else: + data["embedding_available"] = True + + if data.get("permission") == "partial_members": + part_users_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str) + data.update({"partial_member_list": part_users_list}) + + return data, 200 + + def patch(self, _, dataset_id): + dataset_id_str = str(dataset_id) + dataset = DatasetService.get_dataset(dataset_id_str) + if dataset is None: + raise NotFound("Dataset not found.") + + parser = reqparse.RequestParser() + parser.add_argument( + "name", + nullable=False, + help="type is required. Name must be between 1 to 40 characters.", + type=_validate_name, + ) + parser.add_argument("description", location="json", store_missing=False, type=_validate_description_length) + parser.add_argument( + "indexing_technique", + type=str, + location="json", + choices=Dataset.INDEXING_TECHNIQUE_LIST, + nullable=True, + help="Invalid indexing technique.", + ) + parser.add_argument( + "permission", + type=str, + location="json", + choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM), + help="Invalid permission.", + ) + parser.add_argument("embedding_model", type=str, location="json", help="Invalid embedding model.") + parser.add_argument( + "embedding_model_provider", type=str, location="json", help="Invalid embedding model provider." + ) + parser.add_argument("retrieval_model", type=dict, location="json", help="Invalid retrieval model.") + parser.add_argument("partial_member_list", type=list, location="json", help="Invalid parent user list.") + + parser.add_argument( + "external_retrieval_model", + type=dict, + required=False, + nullable=True, + location="json", + help="Invalid external retrieval model.", + ) + + parser.add_argument( + "external_knowledge_id", + type=str, + required=False, + nullable=True, + location="json", + help="Invalid external knowledge id.", + ) + + parser.add_argument( + "external_knowledge_api_id", + type=str, + required=False, + nullable=True, + location="json", + help="Invalid external knowledge api id.", + ) + args = parser.parse_args() + data = request.get_json() + + # check embedding model setting + if data.get("indexing_technique") == "high_quality": + DatasetService.check_embedding_model_setting( + dataset.tenant_id, data.get("embedding_model_provider"), data.get("embedding_model") + ) + + # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator + DatasetPermissionService.check_permission( + current_user, dataset, data.get("permission"), data.get("partial_member_list") + ) + + dataset = DatasetService.update_dataset(dataset_id_str, args, current_user) + + if dataset is None: + raise NotFound("Dataset not found.") + + result_data = marshal(dataset, dataset_detail_fields) + tenant_id = current_user.current_tenant_id + + if data.get("partial_member_list") and data.get("permission") == "partial_members": + DatasetPermissionService.update_partial_member_list( + tenant_id, dataset_id_str, data.get("partial_member_list") + ) + # clear partial member list when permission is only_me or all_team_members + elif ( + data.get("permission") == DatasetPermissionEnum.ONLY_ME + or data.get("permission") == DatasetPermissionEnum.ALL_TEAM + ): + DatasetPermissionService.clear_partial_member_list(dataset_id_str) + + partial_member_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str) + result_data.update({"partial_member_list": partial_member_list}) + + return result_data, 200 + def delete(self, _, dataset_id): """ Deletes a dataset given its ID. @@ -158,6 +312,7 @@ class DatasetApi(DatasetApiResource): try: if DatasetService.delete_dataset(dataset_id_str, current_user): + DatasetPermissionService.clear_partial_member_list(dataset_id_str) return {"result": "success"}, 204 else: raise NotFound("Dataset not found.") diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index 995444ee48..eec6afc9ef 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) @@ -341,7 +343,7 @@ class DocumentListApi(DatasetApiResource): search = f"%{search}%" query = query.filter(Document.name.like(search)) - query = query.order_by(desc(Document.created_at)) + query = query.order_by(desc(Document.created_at), desc(Document.position)) paginated_documents = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False) documents = paginated_documents.items diff --git a/api/controllers/service_api/dataset/metadata.py b/api/controllers/service_api/dataset/metadata.py index 9ba94bdbbf..298c8a8df8 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() diff --git a/api/controllers/service_api/dataset/segment.py b/api/controllers/service_api/dataset/segment.py index 81bae2940d..2a79e15cc5 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 = { diff --git a/api/controllers/service_api/workspace/models.py b/api/controllers/service_api/workspace/models.py new file mode 100644 index 0000000000..373f8019f9 --- /dev/null +++ b/api/controllers/service_api/workspace/models.py @@ -0,0 +1,21 @@ +from flask_login import current_user # type: ignore +from flask_restful import Resource # type: ignore + +from controllers.service_api import api +from controllers.service_api.wraps import validate_dataset_token +from core.model_runtime.utils.encoders import jsonable_encoder +from services.model_provider_service import ModelProviderService + + +class ModelProviderAvailableModelApi(Resource): + @validate_dataset_token + def get(self, _, model_type): + tenant_id = current_user.current_tenant_id + + model_provider_service = ModelProviderService() + models = model_provider_service.get_models_by_model_type(tenant_id=tenant_id, model_type=model_type) + + return jsonable_encoder({"data": models}) + + +api.add_resource(ModelProviderAvailableModelApi, "/workspaces/current/models/model-types/") diff --git a/api/controllers/service_api/wraps.py b/api/controllers/service_api/wraps.py index 7f87bf438b..7facb03358 100644 --- a/api/controllers/service_api/wraps.py +++ b/api/controllers/service_api/wraps.py @@ -59,6 +59,27 @@ def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optio if tenant.status == TenantStatus.ARCHIVE: raise Forbidden("The workspace's status is archived.") + tenant_account_join = ( + db.session.query(Tenant, TenantAccountJoin) + .filter(Tenant.id == api_token.tenant_id) + .filter(TenantAccountJoin.tenant_id == Tenant.id) + .filter(TenantAccountJoin.role.in_(["owner"])) + .filter(Tenant.status == TenantStatus.NORMAL) + .one_or_none() + ) # TODO: only owner information is required, so only one is returned. + if tenant_account_join: + tenant, ta = tenant_account_join + account = db.session.query(Account).filter(Account.id == ta.account_id).first() + # Login admin + if account: + account.current_tenant = tenant + current_app.login_manager._update_request_context_with_user(account) # type: ignore + user_logged_in.send(current_app._get_current_object(), user=_get_user()) # type: ignore + else: + raise Unauthorized("Tenant owner account does not exist.") + else: + raise Unauthorized("Tenant does not exist.") + kwargs["app_model"] = app_model if fetch_user_arg: 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/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..feb8abf6ef 100644 --- a/api/core/agent/cot_agent_runner.py +++ b/api/core/agent/cot_agent_runner.py @@ -191,7 +191,7 @@ 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..a1110e7709 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 @@ -395,7 +394,7 @@ 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 92bd5500ef..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) @@ -70,11 +71,20 @@ class AgentStrategyIdentity(ToolIdentity): pass +class AgentFeature(enum.StrEnum): + """ + Agent Feature, used to describe the features of the agent strategy. + """ + + HISTORY_MESSAGES = "history-messages" + + class AgentStrategyEntity(BaseModel): identity: AgentStrategyIdentity parameters: list[AgentStrategyParameter] = Field(default_factory=list) description: I18nObject = Field(..., description="The description of the agent strategy") output_schema: Optional[dict] = None + features: Optional[list[AgentFeature]] = None # pydantic configs model_config = ConfigDict(protected_namespaces=()) 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/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index 66f2c754bb..3bf6c330db 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -320,10 +320,9 @@ 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 +340,10 @@ 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 +361,10 @@ 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 +380,15 @@ 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 diff --git a/api/core/app/apps/agent_chat/app_runner.py b/api/core/app/apps/agent_chat/app_runner.py index 72a1717112..71328f6d1b 100644 --- a/api/core/app/apps/agent_chat/app_runner.py +++ b/api/core/app/apps/agent_chat/app_runner.py @@ -53,20 +53,6 @@ class AgentChatAppRunner(AppRunner): query = application_generate_entity.query files = application_generate_entity.files - # Pre-calculate the number of tokens of the prompt messages, - # and return the rest number of tokens by model context token size limit and max token size limit. - # If the rest number of tokens is not enough, raise exception. - # Include: prompt template, inputs, query(optional), files(optional) - # Not Include: memory, external data, dataset context - self.get_pre_calculate_rest_tokens( - app_record=app_record, - model_config=application_generate_entity.model_conf, - prompt_template_entity=app_config.prompt_template, - inputs=dict(inputs), - files=list(files), - query=query, - ) - memory = None if application_generate_entity.conversation_id: # get memory of conversation (read-only) 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/chat/app_runner.py b/api/core/app/apps/chat/app_runner.py index 8641f188f7..39597fc036 100644 --- a/api/core/app/apps/chat/app_runner.py +++ b/api/core/app/apps/chat/app_runner.py @@ -61,20 +61,6 @@ class ChatAppRunner(AppRunner): ) image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW - # Pre-calculate the number of tokens of the prompt messages, - # and return the rest number of tokens by model context token size limit and max token size limit. - # If the rest number of tokens is not enough, raise exception. - # Include: prompt template, inputs, query(optional), files(optional) - # Not Include: memory, external data, dataset context - self.get_pre_calculate_rest_tokens( - app_record=app_record, - model_config=application_generate_entity.model_conf, - prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, - query=query, - ) - memory = None if application_generate_entity.conversation_id: # get memory of conversation (read-only) diff --git a/api/core/app/apps/completion/app_runner.py b/api/core/app/apps/completion/app_runner.py index 4f16247318..80fdd0b80e 100644 --- a/api/core/app/apps/completion/app_runner.py +++ b/api/core/app/apps/completion/app_runner.py @@ -54,20 +54,6 @@ class CompletionAppRunner(AppRunner): ) image_detail_config = image_detail_config or ImagePromptMessageContent.DETAIL.LOW - # Pre-calculate the number of tokens of the prompt messages, - # and return the rest number of tokens by model context token size limit and max token size limit. - # If the rest number of tokens is not enough, raise exception. - # Include: prompt template, inputs, query(optional), files(optional) - # Not Include: memory, external data, dataset context - self.get_pre_calculate_rest_tokens( - app_record=app_record, - model_config=application_generate_entity.model_conf, - prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, - query=query, - ) - # organize all inputs and template to prompt messages # Include: prompt template, inputs, query(optional), files(optional) prompt_messages, stop = self.organize_prompt_messages( 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..08986b16f0 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -92,6 +92,7 @@ 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 +115,10 @@ 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, diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index 14441ada40..1f998edb6a 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -279,10 +279,9 @@ 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 +299,9 @@ 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 +311,14 @@ 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 +329,14 @@ 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 +618,7 @@ 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/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py index 4d629ca186..5ce9f737d1 100644 --- a/api/core/app/task_pipeline/workflow_cycle_manage.py +++ b/api/core/app/task_pipeline/workflow_cycle_manage.py @@ -6,7 +6,7 @@ from typing import Any, Optional, Union, cast from uuid import uuid4 from sqlalchemy import func, select -from sqlalchemy.orm import Session +from sqlalchemy.orm import Session, sessionmaker from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom, WorkflowAppGenerateEntity from core.app.entities.queue_entities import ( @@ -49,12 +49,14 @@ from core.file import FILE_MODEL_IDENTITY, File from core.model_runtime.utils.encoders import jsonable_encoder from core.ops.entities.trace_entity import TraceTaskName from core.ops.ops_trace_manager import TraceQueueManager, TraceTask +from core.repository import RepositoryFactory from core.tools.tool_manager import ToolManager 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.workflow_entry import WorkflowEntry +from extensions.ext_database import db from models.account import Account from models.enums import CreatedByRole, WorkflowRunTriggeredFrom from models.model import EndUser @@ -80,6 +82,21 @@ class WorkflowCycleManage: self._application_generate_entity = application_generate_entity self._workflow_system_variables = workflow_system_variables + # Initialize the session factory and repository + # We use the global db engine instead of the session passed to methods + # Disable expire_on_commit to avoid the need for merging objects + self._session_factory = sessionmaker(bind=db.engine, expire_on_commit=False) + self._workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository( + params={ + "tenant_id": self._application_generate_entity.app_config.tenant_id, + "app_id": self._application_generate_entity.app_config.app_id, + "session_factory": self._session_factory, + } + ) + + # We'll still keep the cache for backward compatibility and performance + # but use the repository for database operations + def _handle_workflow_run_start( self, *, @@ -254,19 +271,15 @@ 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 +301,7 @@ 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 +328,14 @@ 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 +354,13 @@ 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 +371,7 @@ 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 +395,14 @@ class WorkflowCycleManage: workflow_node_execution.elapsed_time = elapsed_time workflow_node_execution.execution_metadata = execution_metadata - workflow_node_execution = session.merge(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 +447,12 @@ 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 +460,6 @@ 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 +525,10 @@ 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 +571,6 @@ class WorkflowCycleManage: def _workflow_node_finish_to_stream_response( self, *, - session: Session, event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeInIterationFailedEvent @@ -580,8 +579,6 @@ 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 +618,10 @@ 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 +662,6 @@ 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 +685,6 @@ 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 +705,6 @@ 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 +726,6 @@ 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 +749,6 @@ 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 +779,6 @@ 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 +800,6 @@ 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 +823,6 @@ 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 +920,22 @@ 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_entities.py b/api/core/entities/provider_entities.py index e04e2a42fd..2a0751a5ee 100644 --- a/api/core/entities/provider_entities.py +++ b/api/core/entities/provider_entities.py @@ -146,6 +146,7 @@ class BasicProviderConfig(BaseModel): BOOLEAN = CommonParameterType.BOOLEAN.value APP_SELECTOR = CommonParameterType.APP_SELECTOR.value MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value + TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value @classmethod def value_of(cls, value: str) -> "ProviderConfig.Type": 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/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py index 6367e45638..11f245812e 100644 --- a/api/core/helper/ssrf_proxy.py +++ b/api/core/helper/ssrf_proxy.py @@ -48,21 +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), - "https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL), + "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..d5d2ca60fa 100644 --- a/api/core/llm_generator/llm_generator.py +++ b/api/core/llm_generator/llm_generator.py @@ -10,6 +10,7 @@ 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 +341,37 @@ 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 + ), + ) + + generated_json_schema = cast(str, response.message.content) + 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..fad7cea01c 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! +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" } @@ -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' @@ -157,9 +164,9 @@ Here is a task description for which I would like you to create a high-quality p 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. +- 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 , . +- 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. @@ -172,7 +179,7 @@ Here is a task description for which I would like you to create a high-quality p 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. +- 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. @@ -220,3 +227,108 @@ 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 f050919d81..2d71e99fce 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 ``` @@ -192,7 +192,7 @@ def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[Pr ``` -Sometimes, you might not want to return 0 directly. In such cases, you can use `self._get_num_tokens_by_gpt2(text: str)` to get pre-computed tokens. This method is provided by the `AIModel` base class, and it uses GPT2's Tokenizer for calculation. However, it should be noted that this is only a substitute and may not be fully accurate. +Sometimes, you might not want to return 0 directly. In such cases, you can use `self._get_num_tokens_by_gpt2(text: str)` to get pre-computed tokens and ensure environment variable `PLUGIN_BASED_TOKEN_COUNTING_ENABLED` is set to `true`, This method is provided by the `AIModel` base class, and it uses GPT2's Tokenizer for calculation. However, it should be noted that this is only a substitute and may not be fully accurate. - Model Credentials Validation 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/zh_Hans/customizable_model_scale_out.md b/api/core/model_runtime/docs/zh_Hans/customizable_model_scale_out.md index 240f65802b..88ec6861fe 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，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]: 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..b33dc7c94b 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) \ 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/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py index ed67fef768..1b799131e7 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 @@ -1,5 +1,6 @@ import logging import time +import uuid from collections.abc import Generator, Sequence from typing import Optional, Union @@ -24,6 +25,58 @@ from core.plugin.manager.model import PluginModelManager 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 +98,7 @@ 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 @@ -109,44 +162,13 @@ 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 +227,26 @@ 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 +261,10 @@ 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( @@ -295,18 +325,20 @@ class LargeLanguageModel(AIModel): :param tools: tools for tool calling :return: """ - plugin_model_manager = PluginModelManager() - return plugin_model_manager.get_llm_num_tokens( - tenant_id=self.tenant_id, - user_id="unknown", - plugin_id=self.plugin_id, - provider=self.provider_name, - model_type=self.model_type.value, - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - tools=tools, - ) + if dify_config.PLUGIN_BASED_TOKEN_COUNTING_ENABLED: + plugin_model_manager = PluginModelManager() + return plugin_model_manager.get_llm_num_tokens( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model_type=self.model_type.value, + model=model, + credentials=credentials, + prompt_messages=prompt_messages, + tools=tools, + ) + return 0 def _calc_response_usage( self, model: str, credentials: dict, prompt_tokens: int, completion_tokens: int @@ -401,7 +433,7 @@ 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, @@ -448,7 +480,7 @@ 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/ops/langfuse_trace/langfuse_trace.py b/api/core/ops/langfuse_trace/langfuse_trace.py index b9ba068b19..fa78b7b8e9 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.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 @@ -213,9 +196,24 @@ class LangFuseDataTrace(BaseTraceInstance): if process_data and process_data.get("model_mode") == "chat": total_token = metadata.get("total_tokens", 0) + prompt_tokens = 0 + completion_tokens = 0 + try: + if outputs.get("usage"): + prompt_tokens = outputs.get("usage", {}).get("prompt_tokens", 0) + completion_tokens = outputs.get("usage", {}).get("completion_tokens", 0) + else: + prompt_tokens = process_data.get("usage", {}).get("prompt_tokens", 0) + completion_tokens = process_data.get("usage", {}).get("completion_tokens", 0) + except Exception: + logger.error("Failed to extract usage", exc_info=True) + # add generation generation_usage = GenerationUsage( + input=prompt_tokens, + output=completion_tokens, total=total_token, + unit=UnitEnum.TOKENS, ) node_generation_data = LangfuseGeneration( diff --git a/api/core/ops/langsmith_trace/langsmith_trace.py b/api/core/ops/langsmith_trace/langsmith_trace.py index 4ffd888bdd..85a0eafdc1 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.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 @@ -199,6 +186,7 @@ class LangSmithDataTrace(BaseTraceInstance): ) process_data = json.loads(node_execution.process_data) if node_execution.process_data else {} + if process_data and process_data.get("model_mode") == "chat": run_type = LangSmithRunType.llm metadata.update( @@ -212,9 +200,23 @@ class LangSmithDataTrace(BaseTraceInstance): else: run_type = LangSmithRunType.tool + prompt_tokens = 0 + completion_tokens = 0 + try: + if outputs.get("usage"): + prompt_tokens = outputs.get("usage", {}).get("prompt_tokens", 0) + completion_tokens = outputs.get("usage", {}).get("completion_tokens", 0) + else: + prompt_tokens = process_data.get("usage", {}).get("prompt_tokens", 0) + completion_tokens = process_data.get("usage", {}).get("completion_tokens", 0) + except Exception: + logger.error("Failed to extract usage", exc_info=True) + node_dotted_order = generate_dotted_order(node_execution_id, created_at, workflow_dotted_order) langsmith_run = LangSmithRunModel( total_tokens=node_total_tokens, + input_tokens=prompt_tokens, + output_tokens=completion_tokens, name=node_type, inputs=inputs, run_type=run_type, diff --git a/api/core/ops/opik_trace/opik_trace.py b/api/core/ops/opik_trace/opik_trace.py index fabf38fbd6..923b9a24ed 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.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..6fc02393fe 100644 --- a/api/core/ops/ops_trace_manager.py +++ b/api/core/ops/ops_trace_manager.py @@ -453,7 +453,7 @@ 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/plugin/backwards_invocation/app.py b/api/core/plugin/backwards_invocation/app.py index 29873b508f..484f52e33c 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, 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 61f8a65918..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 @@ -120,8 +124,6 @@ class PluginEntity(PluginInstallation): name: str installation_id: str version: str - latest_version: Optional[str] = None - latest_unique_identifier: Optional[str] = None @model_validator(mode="after") def set_plugin_id(self): 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/base.py b/api/core/plugin/manager/base.py index 7985aa68da..d8d7b3e860 100644 --- a/api/core/plugin/manager/base.py +++ b/api/core/plugin/manager/base.py @@ -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/tool.py b/api/core/plugin/manager/tool.py index 4c3abd3acf..7592f867e1 100644 --- a/api/core/plugin/manager/tool.py +++ b/api/core/plugin/manager/tool.py @@ -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/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/cleaner/clean_processor.py b/api/core/rag/cleaner/clean_processor.py index 754b0d18b7..9cb009035b 100644 --- a/api/core/rag/cleaner/clean_processor.py +++ b/api/core/rag/cleaner/clean_processor.py @@ -27,9 +27,26 @@ class CleanProcessor: pattern = r"([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)" text = re.sub(pattern, "", text) - # Remove URL - pattern = r"https?://[^\s]+" - text = re.sub(pattern, "", text) + # Remove URL but keep Markdown image URLs + # First, temporarily replace Markdown image URLs with a placeholder + markdown_image_pattern = r"!\[.*?\]\((https?://[^\s)]+)\)" + placeholders: list[str] = [] + + def replace_with_placeholder(match, placeholders=placeholders): + url = match.group(1) + placeholder = f"__MARKDOWN_IMAGE_URL_{len(placeholders)}__" + placeholders.append(url) + return f"![image]({placeholder})" + + text = re.sub(markdown_image_pattern, replace_with_placeholder, text) + + # Now remove all remaining URLs + url_pattern = r"https?://[^\s)]+" + text = re.sub(url_pattern, "", text) + + # Finally, restore the Markdown image URLs + for i, url in enumerate(placeholders): + text = text.replace(f"__MARKDOWN_IMAGE_URL_{i}__", url) return text def filter_string(self, text): diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py index fea4d0edf7..46a5330bdb 100644 --- a/api/core/rag/datasource/retrieval_service.py +++ b/api/core/rag/datasource/retrieval_service.py @@ -46,7 +46,7 @@ class RetrievalService: if not query: return [] dataset = cls._get_dataset(dataset_id) - if not dataset or dataset.available_document_count == 0 or dataset.available_segment_count == 0: + if not dataset: return [] all_documents: list[Document] = [] 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..c1792943bb 100644 --- a/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py +++ b/api/core/rag/datasource/vdb/analyticdb/analyticdb_vector_sql.py @@ -139,13 +139,17 @@ 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): @@ -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 @@ -240,7 +246,7 @@ class AnalyticdbVectorBySql: 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 1ba37dfb3f..643ac2df4e 100644 --- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py +++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py @@ -1,10 +1,13 @@ import copy import json import logging +import time from typing import Any, Optional -from opensearchpy import OpenSearch +from opensearchpy import OpenSearch, helpers +from opensearchpy.helpers import BulkIndexError from pydantic import BaseModel, model_validator +from tenacity import retry, stop_after_attempt, wait_exponential from configs import dify_config from core.rag.datasource.vdb.field import Field @@ -77,31 +80,74 @@ class LindormVectorStore(BaseVector): def refresh(self): self._client.indices.refresh(index=self._collection_name) - def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): - actions = [] + def add_texts( + self, + documents: list[Document], + embeddings: list[list[float]], + batch_size: int = 64, + timeout: int = 60, + **kwargs, + ): + logger.info(f"Total documents to add: {len(documents)}") uuids = self._get_uuids(documents) - for i in range(len(documents)): - action_header = { - "index": { - "_index": self.collection_name.lower(), - "_id": uuids[i], + + total_docs = len(documents) + num_batches = (total_docs + batch_size - 1) // batch_size + + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + ) + def _bulk_with_retry(actions): + try: + response = self._client.bulk(actions, timeout=timeout) + if response["errors"]: + error_items = [item for item in response["items"] if "error" in item["index"]] + error_msg = f"Bulk indexing had {len(error_items)} errors" + logger.exception(error_msg) + raise Exception(error_msg) + return response + except Exception: + logger.exception("Bulk indexing error") + raise + + for batch_num in range(num_batches): + start_idx = batch_num * batch_size + end_idx = min((batch_num + 1) * batch_size, total_docs) + + actions = [] + for i in range(start_idx, end_idx): + action_header = { + "index": { + "_index": self.collection_name.lower(), + "_id": uuids[i], + } } - } - action_values: dict[str, Any] = { - 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, - } - if self._using_ugc: - action_header["index"]["routing"] = self._routing - if self._routing_field is not None: - action_values[self._routing_field] = self._routing - actions.append(action_header) - actions.append(action_values) - response = self._client.bulk(actions) - if response["errors"]: - for item in response["items"]: - print(f"{item['index']['status']}: {item['index']['error']['type']}") + action_values: dict[str, Any] = { + Field.CONTENT_KEY.value: documents[i].page_content, + Field.VECTOR.value: embeddings[i], + Field.METADATA_KEY.value: documents[i].metadata, + } + if self._using_ugc: + action_header["index"]["routing"] = self._routing + if self._routing_field is not None: + action_values[self._routing_field] = self._routing + + actions.append(action_header) + actions.append(action_values) + + # logger.info(f"Processing batch {batch_num + 1}/{num_batches} (documents {start_idx + 1} to {end_idx})") + + try: + _bulk_with_retry(actions) + # logger.info(f"Successfully processed batch {batch_num + 1}") + # simple latency to avoid too many requests in a short time + if batch_num < num_batches - 1: + time.sleep(0.5) + + except Exception: + logger.exception(f"Failed to process batch {batch_num + 1}") + raise def get_ids_by_metadata_field(self, key: str, value: str): query: dict[str, Any] = { @@ -121,19 +167,51 @@ class LindormVectorStore(BaseVector): self.delete_by_ids(ids) def delete_by_ids(self, ids: list[str]) -> None: - params = {} - if self._using_ugc: - params["routing"] = self._routing + """Delete documents by their IDs in batch. + + Args: + ids: List of document IDs to delete + """ + if not ids: + return + + params = {"routing": self._routing} if self._using_ugc else {} + + # 1. First check if collection exists + if not self._client.indices.exists(index=self._collection_name): + logger.warning(f"Collection {self._collection_name} does not exist") + return + + # 2. Batch process deletions + actions = [] for id in ids: if self._client.exists(index=self._collection_name, id=id, params=params): - params = {} - if self._using_ugc: - params["routing"] = self._routing - self._client.delete(index=self._collection_name, id=id, params=params) - self.refresh() + actions.append( + { + "_op_type": "delete", + "_index": self._collection_name, + "_id": id, + **params, # Include routing if using UGC + } + ) else: logger.warning(f"DELETE BY ID: ID {id} does not exist in the index.") + # 3. Perform bulk deletion if there are valid documents to delete + if actions: + try: + helpers.bulk(self._client, actions) + except BulkIndexError as e: + for error in e.errors: + delete_error = error.get("delete", {}) + status = delete_error.get("status") + doc_id = delete_error.get("_id") + + if status == 404: + logger.warning(f"Document not found for deletion: {doc_id}") + else: + logger.exception(f"Error deleting document: {error}") + def delete(self) -> None: if self._using_ugc: routing_filter_query = { @@ -169,7 +247,7 @@ class LindormVectorStore(BaseVector): document_ids_filter = kwargs.get("document_ids_filter") filters = [] if document_ids_filter: - filters.append({"terms": {"metadata.document_id": document_ids_filter}}) + filters.append({"terms": {"metadata.document_id.keyword": document_ids_filter}}) query = default_vector_search_query(query_vector=query_vector, k=top_k, filters=filters, **kwargs) try: @@ -212,7 +290,7 @@ class LindormVectorStore(BaseVector): filters = kwargs.get("filter", []) document_ids_filter = kwargs.get("document_ids_filter") if document_ids_filter: - filters.append({"terms": {"metadata.document_id": document_ids_filter}}) + filters.append({"terms": {"metadata.document_id.keyword": document_ids_filter}}) routing = self._routing full_text_query = default_text_search_query( query_text=query, @@ -226,6 +304,7 @@ class LindormVectorStore(BaseVector): routing=routing, routing_field=self._routing_field, ) + response = self._client.search(index=self._collection_name, body=full_text_query) docs = [] for hit in response["hits"]["hits"]: @@ -435,7 +514,7 @@ def default_vector_search_query( **kwargs, ) -> dict: if filters is not None: - filter_type = "post_filter" if filter_type is None else filter_type + filter_type = "pre_filter" if filter_type is None else filter_type if not isinstance(filters, list): raise RuntimeError(f"unexpected filter with {type(filters)}") final_ext: dict[str, Any] = {"lvector": {}} diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index 7a3319f4a6..100bcb198c 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -32,6 +32,7 @@ class MilvusConfig(BaseModel): 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 @@ -58,6 +59,7 @@ class MilvusConfig(BaseModel): "user": self.user, "password": self.password, "db_name": self.database, + "analyzer_params": self.analyzer_params, } @@ -300,14 +302,19 @@ 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 @@ -383,5 +390,6 @@ 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/oracle/oraclevector.py b/api/core/rag/datasource/vdb/oracle/oraclevector.py index 143dfb3258..63695e6f3f 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 @@ -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/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/tencent/tencent_vector.py b/api/core/rag/datasource/vdb/tencent/tencent_vector.py index 739e9e10ac..e266659075 100644 --- a/api/core/rag/datasource/vdb/tencent/tencent_vector.py +++ b/api/core/rag/datasource/vdb/tencent/tencent_vector.py @@ -1,12 +1,14 @@ import json +import logging import math from typing import Any, Optional from pydantic import BaseModel +from tcvdb_text.encoder import BM25Encoder # type: ignore from tcvectordb import RPCVectorDBClient, VectorDBException # type: ignore from tcvectordb.model import document, enum # type: ignore from tcvectordb.model import index as vdb_index # type: ignore -from tcvectordb.model.document import Filter # type: ignore +from tcvectordb.model.document import AnnSearch, Filter, KeywordSearch, WeightedRerank # type: ignore from configs import dify_config from core.rag.datasource.vdb.vector_base import BaseVector @@ -17,6 +19,8 @@ from core.rag.models.document import Document from extensions.ext_redis import redis_client from models.dataset import Dataset +logger = logging.getLogger(__name__) + class TencentConfig(BaseModel): url: str @@ -25,10 +29,11 @@ class TencentConfig(BaseModel): username: Optional[str] database: Optional[str] index_type: str = "HNSW" - metric_type: str = "L2" + metric_type: str = "IP" shard: int = 1 replicas: int = 2 max_upsert_batch_size: int = 128 + enable_hybrid_search: bool = False # Flag to enable hybrid search def to_tencent_params(self): return {"url": self.url, "username": self.username, "key": self.api_key, "timeout": self.timeout} @@ -44,6 +49,30 @@ class TencentVector(BaseVector): super().__init__(collection_name) self._client_config = config self._client = RPCVectorDBClient(**self._client_config.to_tencent_params()) + self._enable_hybrid_search = False + self._dimension = 1024 + self._init_database() + self._load_collection() + self._bm25 = BM25Encoder.default("zh") + + def _load_collection(self): + """ + Check if the collection supports hybrid search. + """ + if self._client_config.enable_hybrid_search: + self._enable_hybrid_search = True + if self._has_collection(): + coll = self._client.describe_collection( + database_name=self._client_config.database, collection_name=self.collection_name + ) + has_hybrid_search = False + for idx in coll.indexes: + if idx.name == "sparse_vector": + has_hybrid_search = True + elif idx.name == "vector": + self._dimension = idx.dimension + if not has_hybrid_search: + self._enable_hybrid_search = False def _init_database(self): return self._client.create_database_if_not_exists(database_name=self._client_config.database) @@ -62,6 +91,7 @@ class TencentVector(BaseVector): ) def _create_collection(self, dimension: int) -> None: + self._dimension = dimension lock_name = "vector_indexing_lock_{}".format(self._collection_name) with redis_client.lock(lock_name, timeout=20): collection_exist_cache_key = "vector_indexing_{}".format(self._collection_name) @@ -84,18 +114,25 @@ class TencentVector(BaseVector): if metric_type is None: raise ValueError("unsupported metric_type") params = vdb_index.HNSWParams(m=16, efconstruction=200) - index = vdb_index.Index( - vdb_index.FilterIndex(self.field_id, enum.FieldType.String, enum.IndexType.PRIMARY_KEY), - vdb_index.VectorIndex( - self.field_vector, - dimension, - index_type, - metric_type, - params, - ), - vdb_index.FilterIndex(self.field_text, enum.FieldType.String, enum.IndexType.FILTER), - vdb_index.FilterIndex(self.field_metadata, enum.FieldType.Json, enum.IndexType.FILTER), + index_id = vdb_index.FilterIndex(self.field_id, enum.FieldType.String, enum.IndexType.PRIMARY_KEY) + index_vector = vdb_index.VectorIndex( + self.field_vector, + dimension, + index_type, + metric_type, + params, ) + index_text = vdb_index.FilterIndex(self.field_text, enum.FieldType.String, enum.IndexType.FILTER) + index_metadate = vdb_index.FilterIndex(self.field_metadata, enum.FieldType.Json, enum.IndexType.FILTER) + index_sparse_vector = vdb_index.SparseIndex( + name="sparse_vector", + field_type=enum.FieldType.SparseVector, + index_type=enum.IndexType.SPARSE_INVERTED, + metric_type=enum.MetricType.IP, + ) + indexes = [index_id, index_vector, index_text, index_metadate] + if self._enable_hybrid_search: + indexes.append(index_sparse_vector) try: self._client.create_collection( database_name=self._client_config.database, @@ -103,31 +140,25 @@ class TencentVector(BaseVector): shard=self._client_config.shard, replicas=self._client_config.replicas, description="Collection for Dify", - index=index, + indexes=indexes, ) except VectorDBException as e: if "fieldType:json" not in e.message: raise e # vdb version not support json, use string - index = vdb_index.Index( - vdb_index.FilterIndex(self.field_id, enum.FieldType.String, enum.IndexType.PRIMARY_KEY), - vdb_index.VectorIndex( - self.field_vector, - dimension, - index_type, - metric_type, - params, - ), - vdb_index.FilterIndex(self.field_text, enum.FieldType.String, enum.IndexType.FILTER), - vdb_index.FilterIndex(self.field_metadata, enum.FieldType.String, enum.IndexType.FILTER), + index_metadate = vdb_index.FilterIndex( + self.field_metadata, enum.FieldType.String, enum.IndexType.FILTER ) + indexes = [index_id, index_vector, index_text, index_metadate] + if self._enable_hybrid_search: + indexes.append(index_sparse_vector) self._client.create_collection( database_name=self._client_config.database, collection_name=self._collection_name, shard=self._client_config.shard, replicas=self._client_config.replicas, description="Collection for Dify", - index=index, + indexes=indexes, ) redis_client.set(collection_exist_cache_key, 1, ex=3600) @@ -155,6 +186,8 @@ class TencentVector(BaseVector): text=texts[i], metadata=metadata, ) + if self._enable_hybrid_search: + doc.__dict__["sparse_vector"] = self._bm25.encode_texts(texts[i]) docs.append(doc) self._client.upsert( database_name=self._client_config.database, @@ -204,7 +237,32 @@ class TencentVector(BaseVector): return self._get_search_res(res, score_threshold) def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: - return [] + if not self._enable_hybrid_search: + return [] + res = self._client.hybrid_search( + database_name=self._client_config.database, + collection_name=self.collection_name, + ann=[ + AnnSearch( + field_name="vector", + data=[0.0] * self._dimension, + ) + ], + match=[ + KeywordSearch( + field_name="sparse_vector", + data=self._bm25.encode_queries(query), + ), + ], + rerank=WeightedRerank( + field_list=["vector", "sparse_vector"], + weight=[0, 1], + ), + retrieve_vector=False, + limit=kwargs.get("top_k", 4), + ) + score_threshold = float(kwargs.get("score_threshold") or 0.0) + return self._get_search_res(res, score_threshold) def _get_search_res(self, res: list | None, score_threshold: float) -> list[Document]: docs: list[Document] = [] @@ -213,7 +271,7 @@ class TencentVector(BaseVector): for result in res[0]: meta = result.get(self.field_metadata) - score = 1 - result.get("score", 0.0) + score = result.get("score", 0.0) if score > score_threshold: meta["score"] = score doc = Document(page_content=result.get(self.field_text), metadata=meta) @@ -222,7 +280,10 @@ class TencentVector(BaseVector): return docs def delete(self) -> None: - self._client.drop_collection(database_name=self._client_config.database, collection_name=self.collection_name) + if self._has_collection(): + self._client.drop_collection( + database_name=self._client_config.database, collection_name=self.collection_name + ) class TencentVectorFactory(AbstractVectorFactory): @@ -245,5 +306,6 @@ class TencentVectorFactory(AbstractVectorFactory): database=dify_config.TENCENT_VECTOR_DB_DATABASE, shard=dify_config.TENCENT_VECTOR_DB_SHARD, replicas=dify_config.TENCENT_VECTOR_DB_REPLICAS, + enable_hybrid_search=dify_config.TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH or False, ), ) 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..00229ce700 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) diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index 00601c38a1..05158cc7ca 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -156,6 +156,10 @@ 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..0421be3458 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -26,3 +26,4 @@ class VectorType(StrEnum): OCEANBASE = "oceanbase" OPENGAUSS = "opengauss" TABLESTORE = "tablestore" + HUAWEI_CLOUD = "huawei_cloud" diff --git a/api/core/rag/extractor/extract_processor.py b/api/core/rag/extractor/extract_processor.py index f9fd7f92a1..bc19899ea5 100644 --- a/api/core/rag/extractor/extract_processor.py +++ b/api/core/rag/extractor/extract_processor.py @@ -18,6 +18,7 @@ from core.rag.extractor.markdown_extractor import MarkdownExtractor from core.rag.extractor.notion_extractor import NotionExtractor from core.rag.extractor.pdf_extractor import PdfExtractor from core.rag.extractor.text_extractor import TextExtractor +from core.rag.extractor.unstructured.unstructured_doc_extractor import UnstructuredWordExtractor from core.rag.extractor.unstructured.unstructured_eml_extractor import UnstructuredEmailExtractor from core.rag.extractor.unstructured.unstructured_epub_extractor import UnstructuredEpubExtractor from core.rag.extractor.unstructured.unstructured_markdown_extractor import UnstructuredMarkdownExtractor @@ -25,6 +26,7 @@ from core.rag.extractor.unstructured.unstructured_msg_extractor import Unstructu from core.rag.extractor.unstructured.unstructured_ppt_extractor import UnstructuredPPTExtractor from core.rag.extractor.unstructured.unstructured_pptx_extractor import UnstructuredPPTXExtractor from core.rag.extractor.unstructured.unstructured_xml_extractor import UnstructuredXmlExtractor +from core.rag.extractor.watercrawl.extractor import WaterCrawlWebExtractor from core.rag.extractor.word_extractor import WordExtractor from core.rag.models.document import Document from extensions.ext_storage import storage @@ -104,7 +106,7 @@ class ExtractProcessor: etl_type = dify_config.ETL_TYPE extractor: Optional[BaseExtractor] = None if etl_type == "Unstructured": - unstructured_api_url = dify_config.UNSTRUCTURED_API_URL + unstructured_api_url = dify_config.UNSTRUCTURED_API_URL or "" unstructured_api_key = dify_config.UNSTRUCTURED_API_KEY or "" if file_extension in {".xlsx", ".xls"}: @@ -121,6 +123,8 @@ class ExtractProcessor: extractor = HtmlExtractor(file_path) elif file_extension == ".docx": extractor = WordExtractor(file_path, upload_file.tenant_id, upload_file.created_by) + elif file_extension == ".doc": + extractor = UnstructuredWordExtractor(file_path, unstructured_api_url, unstructured_api_key) elif file_extension == ".csv": extractor = CSVExtractor(file_path, autodetect_encoding=True) elif file_extension == ".msg": @@ -180,6 +184,15 @@ class ExtractProcessor: only_main_content=extract_setting.website_info.only_main_content, ) return extractor.extract() + elif extract_setting.website_info.provider == "watercrawl": + extractor = WaterCrawlWebExtractor( + url=extract_setting.website_info.url, + job_id=extract_setting.website_info.job_id, + tenant_id=extract_setting.website_info.tenant_id, + mode=extract_setting.website_info.mode, + only_main_content=extract_setting.website_info.only_main_content, + ) + return extractor.extract() elif extract_setting.website_info.provider == "jinareader": extractor = JinaReaderWebExtractor( url=extract_setting.website_info.url, diff --git a/api/core/rag/extractor/unstructured/unstructured_doc_extractor.py b/api/core/rag/extractor/unstructured/unstructured_doc_extractor.py index a525c9e9e3..5199208f70 100644 --- a/api/core/rag/extractor/unstructured/unstructured_doc_extractor.py +++ b/api/core/rag/extractor/unstructured/unstructured_doc_extractor.py @@ -10,14 +10,11 @@ logger = logging.getLogger(__name__) class UnstructuredWordExtractor(BaseExtractor): """Loader that uses unstructured to load word documents.""" - def __init__( - self, - file_path: str, - api_url: str, - ): + def __init__(self, file_path: str, api_url: str, api_key: str = ""): """Initialize with file path.""" self._file_path = file_path self._api_url = api_url + self._api_key = api_key def extract(self) -> list[Document]: from unstructured.__version__ import __version__ as __unstructured_version__ @@ -41,9 +38,10 @@ class UnstructuredWordExtractor(BaseExtractor): ) if is_doc: - from unstructured.partition.doc import partition_doc + from unstructured.partition.api import partition_via_api + + elements = partition_via_api(filename=self._file_path, api_url=self._api_url, api_key=self._api_key) - elements = partition_doc(filename=self._file_path) else: from unstructured.partition.docx import partition_docx diff --git a/api/core/rag/extractor/watercrawl/client.py b/api/core/rag/extractor/watercrawl/client.py new file mode 100644 index 0000000000..6eaede7dbc --- /dev/null +++ b/api/core/rag/extractor/watercrawl/client.py @@ -0,0 +1,161 @@ +import json +from collections.abc import Generator +from typing import Union +from urllib.parse import urljoin + +import requests +from requests import Response + + +class BaseAPIClient: + def __init__(self, api_key, base_url): + self.api_key = api_key + self.base_url = base_url + self.session = self.init_session() + + def init_session(self): + session = requests.Session() + session.headers.update({"X-API-Key": self.api_key}) + session.headers.update({"Content-Type": "application/json"}) + session.headers.update({"Accept": "application/json"}) + session.headers.update({"User-Agent": "WaterCrawl-Plugin"}) + session.headers.update({"Accept-Language": "en-US"}) + return session + + def _get(self, endpoint: str, query_params: dict | None = None, **kwargs): + return self.session.get(urljoin(self.base_url, endpoint), params=query_params, **kwargs) + + def _post(self, endpoint: str, query_params: dict | None = None, data: dict | None = None, **kwargs): + return self.session.post(urljoin(self.base_url, endpoint), params=query_params, json=data, **kwargs) + + def _put(self, endpoint: str, query_params: dict | None = None, data: dict | None = None, **kwargs): + return self.session.put(urljoin(self.base_url, endpoint), params=query_params, json=data, **kwargs) + + def _delete(self, endpoint: str, query_params: dict | None = None, **kwargs): + return self.session.delete(urljoin(self.base_url, endpoint), params=query_params, **kwargs) + + def _patch(self, endpoint: str, query_params: dict | None = None, data: dict | None = None, **kwargs): + return self.session.patch(urljoin(self.base_url, endpoint), params=query_params, json=data, **kwargs) + + +class WaterCrawlAPIClient(BaseAPIClient): + def __init__(self, api_key, base_url: str | None = "https://app.watercrawl.dev/"): + super().__init__(api_key, base_url) + + def process_eventstream(self, response: Response, download: bool = False) -> Generator: + for line in response.iter_lines(): + line = line.decode("utf-8") + if line.startswith("data:"): + line = line[5:].strip() + data = json.loads(line) + if data["type"] == "result" and download: + data["data"] = self.download_result(data["data"]) + yield data + + def process_response(self, response: Response) -> dict | bytes | list | None | Generator: + response.raise_for_status() + if response.status_code == 204: + return None + if response.headers.get("Content-Type") == "application/json": + return response.json() or {} + + if response.headers.get("Content-Type") == "application/octet-stream": + return response.content + + if response.headers.get("Content-Type") == "text/event-stream": + return self.process_eventstream(response) + + raise Exception(f"Unknown response type: {response.headers.get('Content-Type')}") + + def get_crawl_requests_list(self, page: int | None = None, page_size: int | None = None): + query_params = {"page": page or 1, "page_size": page_size or 10} + return self.process_response( + self._get( + "/api/v1/core/crawl-requests/", + query_params=query_params, + ) + ) + + def get_crawl_request(self, item_id: str): + return self.process_response( + self._get( + f"/api/v1/core/crawl-requests/{item_id}/", + ) + ) + + def create_crawl_request( + self, + url: Union[list, str] | None = None, + spider_options: dict | None = None, + page_options: dict | None = None, + plugin_options: dict | None = None, + ): + data = { + # 'urls': url if isinstance(url, list) else [url], + "url": url, + "options": { + "spider_options": spider_options or {}, + "page_options": page_options or {}, + "plugin_options": plugin_options or {}, + }, + } + return self.process_response( + self._post( + "/api/v1/core/crawl-requests/", + data=data, + ) + ) + + def stop_crawl_request(self, item_id: str): + return self.process_response( + self._delete( + f"/api/v1/core/crawl-requests/{item_id}/", + ) + ) + + def download_crawl_request(self, item_id: str): + return self.process_response( + self._get( + f"/api/v1/core/crawl-requests/{item_id}/download/", + ) + ) + + def monitor_crawl_request(self, item_id: str, prefetched=False) -> Generator: + query_params = {"prefetched": str(prefetched).lower()} + generator = self.process_response( + self._get(f"/api/v1/core/crawl-requests/{item_id}/status/", stream=True, query_params=query_params), + ) + if not isinstance(generator, Generator): + raise ValueError("Generator expected") + yield from generator + + def get_crawl_request_results( + self, item_id: str, page: int = 1, page_size: int = 25, query_params: dict | None = None + ): + query_params = query_params or {} + query_params.update({"page": page or 1, "page_size": page_size or 25}) + return self.process_response( + self._get(f"/api/v1/core/crawl-requests/{item_id}/results/", query_params=query_params) + ) + + def scrape_url( + self, + url: str, + page_options: dict | None = None, + plugin_options: dict | None = None, + sync: bool = True, + prefetched: bool = True, + ): + response_result = self.create_crawl_request(url=url, page_options=page_options, plugin_options=plugin_options) + if not sync: + return response_result + + for event_data in self.monitor_crawl_request(response_result["uuid"], prefetched): + if event_data["type"] == "result": + return event_data["data"] + + def download_result(self, result_object: dict): + response = requests.get(result_object["result"]) + response.raise_for_status() + result_object["result"] = response.json() + return result_object diff --git a/api/core/rag/extractor/watercrawl/extractor.py b/api/core/rag/extractor/watercrawl/extractor.py new file mode 100644 index 0000000000..40d1740962 --- /dev/null +++ b/api/core/rag/extractor/watercrawl/extractor.py @@ -0,0 +1,57 @@ +from core.rag.extractor.extractor_base import BaseExtractor +from core.rag.models.document import Document +from services.website_service import WebsiteService + + +class WaterCrawlWebExtractor(BaseExtractor): + """ + Crawl and scrape websites and return content in clean llm-ready markdown. + + + Args: + url: The URL to scrape. + api_key: The API key for WaterCrawl. + base_url: The base URL for the Firecrawl API. Defaults to 'https://app.firecrawl.dev'. + mode: The mode of operation. Defaults to 'scrape'. Options are 'crawl', 'scrape' and 'crawl_return_urls'. + only_main_content: Only return the main content of the page excluding headers, navs, footers, etc. + """ + + def __init__(self, url: str, job_id: str, tenant_id: str, mode: str = "crawl", only_main_content: bool = True): + """Initialize with url, api_key, base_url and mode.""" + self._url = url + self.job_id = job_id + self.tenant_id = tenant_id + self.mode = mode + self.only_main_content = only_main_content + + def extract(self) -> list[Document]: + """Extract content from the URL.""" + documents = [] + if self.mode == "crawl": + crawl_data = WebsiteService.get_crawl_url_data(self.job_id, "watercrawl", self._url, self.tenant_id) + if crawl_data is None: + return [] + document = Document( + page_content=crawl_data.get("markdown", ""), + metadata={ + "source_url": crawl_data.get("source_url"), + "description": crawl_data.get("description"), + "title": crawl_data.get("title"), + }, + ) + documents.append(document) + elif self.mode == "scrape": + scrape_data = WebsiteService.get_scrape_url_data( + "watercrawl", self._url, self.tenant_id, self.only_main_content + ) + + document = Document( + page_content=scrape_data.get("markdown", ""), + metadata={ + "source_url": scrape_data.get("source_url"), + "description": scrape_data.get("description"), + "title": scrape_data.get("title"), + }, + ) + documents.append(document) + return documents diff --git a/api/core/rag/extractor/watercrawl/provider.py b/api/core/rag/extractor/watercrawl/provider.py new file mode 100644 index 0000000000..b8003b386b --- /dev/null +++ b/api/core/rag/extractor/watercrawl/provider.py @@ -0,0 +1,117 @@ +from collections.abc import Generator +from datetime import datetime +from typing import Any + +from core.rag.extractor.watercrawl.client import WaterCrawlAPIClient + + +class WaterCrawlProvider: + def __init__(self, api_key, base_url: str | None = None): + self.client = WaterCrawlAPIClient(api_key, base_url) + + def crawl_url(self, url, options: dict | Any = None) -> dict: + options = options or {} + spider_options = { + "max_depth": 1, + "page_limit": 1, + "allowed_domains": [], + "exclude_paths": [], + "include_paths": [], + } + 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["include_paths"] = options.get("includes", "").split(",") if options.get("includes") else [] + spider_options["exclude_paths"] = options.get("excludes", "").split(",") if options.get("excludes") else [] + + wait_time = options.get("wait_time", 1000) + page_options = { + "exclude_tags": options.get("exclude_tags", "").split(",") if options.get("exclude_tags") else [], + "include_tags": options.get("include_tags", "").split(",") if options.get("include_tags") else [], + "wait_time": max(1000, wait_time), # minimum wait time is 1 second + "include_html": False, + "only_main_content": options.get("only_main_content", True), + "include_links": False, + "timeout": 15000, + "accept_cookies_selector": "#cookies-accept", + "locale": "en-US", + "actions": [], + } + result = self.client.create_crawl_request(url=url, spider_options=spider_options, page_options=page_options) + + return {"status": "active", "job_id": result.get("uuid")} + + def get_crawl_status(self, crawl_request_id) -> dict: + response = self.client.get_crawl_request(crawl_request_id) + data = [] + if response["status"] in ["new", "running"]: + status = "active" + else: + status = "completed" + data = list(self._get_results(crawl_request_id)) + + time_str = response.get("duration") + time_consuming: float = 0 + if time_str: + time_obj = datetime.strptime(time_str, "%H:%M:%S.%f") + time_consuming = ( + time_obj.hour * 3600 + time_obj.minute * 60 + time_obj.second + time_obj.microsecond / 1_000_000 + ) + + return { + "status": status, + "job_id": response.get("uuid"), + "total": response.get("options", {}).get("spider_options", {}).get("page_limit", 1), + "current": response.get("number_of_documents", 0), + "data": data, + "time_consuming": time_consuming, + } + + def get_crawl_url_data(self, job_id, url) -> dict | None: + if not job_id: + return self.scrape_url(url) + + for result in self._get_results( + job_id, + { + # filter by url + "url": url + }, + ): + return result + + return None + + def scrape_url(self, url: str) -> dict: + response = self.client.scrape_url(url=url, sync=True, prefetched=True) + return self._structure_data(response) + + def _structure_data(self, result_object: dict) -> dict: + if isinstance(result_object.get("result", {}), str): + raise ValueError("Invalid result object. Expected a dictionary.") + + metadata = result_object.get("result", {}).get("metadata", {}) + return { + "title": metadata.get("og:title") or metadata.get("title"), + "description": metadata.get("description"), + "source_url": result_object.get("url"), + "markdown": result_object.get("result", {}).get("markdown"), + } + + def _get_results(self, crawl_request_id: str, query_params: dict | None = None) -> Generator[dict, None, None]: + page = 0 + page_size = 100 + + query_params = query_params or {} + query_params.update({"prefetched": "true"}) + while True: + page += 1 + response = self.client.get_crawl_request_results(crawl_request_id, page, page_size, query_params) + if not response["results"]: + break + + for result in response["results"]: + yield self._structure_data(result) + + if response["next"] is None: + break diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index 0a6ffaa1dd..edaa8c92fa 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -85,7 +85,7 @@ class WordExtractor(BaseExtractor): if "image" in rel.target_ref: image_count += 1 if rel.is_external: - url = rel.reltype + url = rel.target_ref response = ssrf_proxy.get(url) if response.status_code == 200: image_ext = mimetypes.guess_extension(response.headers["Content-Type"]) @@ -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/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/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/repository/__init__.py b/api/core/repository/__init__.py new file mode 100644 index 0000000000..253df1251d --- /dev/null +++ b/api/core/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.repository.repository_factory import RepositoryFactory +from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository + +__all__ = [ + "RepositoryFactory", + "WorkflowNodeExecutionRepository", +] diff --git a/api/core/repository/repository_factory.py b/api/core/repository/repository_factory.py new file mode 100644 index 0000000000..7da7e49055 --- /dev/null +++ b/api/core/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.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/repository/workflow_node_execution_repository.py b/api/core/repository/workflow_node_execution_repository.py new file mode 100644 index 0000000000..9bb790cb0f --- /dev/null +++ b/api/core/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/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/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/tool_file_manager.py b/api/core/tools/tool_file_manager.py index 1573e0c219..7e8d4280d4 100644 --- a/api/core/tools/tool_file_manager.py +++ b/api/core/tools/tool_file_manager.py @@ -108,7 +108,11 @@ class ToolFileManager: except httpx.TimeoutException: raise ValueError(f"timeout when downloading file from {file_url}") - mimetype = guess_type(file_url)[0] or "application/octet-stream" + mimetype = ( + guess_type(file_url)[0] + or response.headers.get("Content-Type", "").split(";")[0].strip() + or "application/octet-stream" + ) extension = guess_extension(mimetype) or ".bin" unique_name = uuid4().hex filename = f"{unique_name}{extension}" 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..f5838c3b76 100644 --- a/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py @@ -86,6 +86,7 @@ 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 +94,7 @@ 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/entities/node_entities.py b/api/core/workflow/entities/node_entities.py index 70d40d87e9..82fd6cdc30 100644 --- a/api/core/workflow/entities/node_entities.py +++ b/api/core/workflow/entities/node_entities.py @@ -30,6 +30,7 @@ class NodeRunMetadataKey(StrEnum): ITERATION_DURATION_MAP = "iteration_duration_map" # single iteration duration if iteration node runs LOOP_DURATION_MAP = "loop_duration_map" # single loop duration if loop node runs ERROR_STRATEGY = "error_strategy" # node in continue on error mode return the field + LOOP_VARIABLE_MAP = "loop_variable_map" # single loop variable output class NodeRunResult(BaseModel): 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/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index d0f3041d5d..36273d8ec1 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -641,6 +641,8 @@ class GraphEngine: try: # run node retry_start_at = datetime.now(UTC).replace(tzinfo=None) + # yield control to other threads + time.sleep(0.001) generator = node_instance.run() for item in generator: if isinstance(item, GraphEngineEvent): diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py index be6db66773..da40cbcdea 100644 --- a/api/core/workflow/nodes/agent/agent_node.py +++ b/api/core/workflow/nodes/agent/agent_node.py @@ -1,25 +1,30 @@ import json from collections.abc import Generator, Mapping, Sequence -from typing import Any, cast +from typing import Any, Optional, cast from core.agent.entities import AgentToolEntity from core.agent.plugin_entities import AgentStrategyParameter -from core.model_manager import ModelManager -from core.model_runtime.entities.model_entities import ModelType +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.provider_manager import ProviderManager from core.tools.entities.tool_entities import ToolParameter, ToolProviderType from core.tools.tool_manager import ToolManager +from core.variables.segments import StringSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_pool import VariablePool from core.workflow.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 from core.workflow.nodes.tool.tool_node import ToolNode from core.workflow.utils.variable_template_parser import VariableTemplateParser +from extensions.ext_database import db from factories.agent_factory import get_plugin_agent_strategy +from models.model import Conversation from models.workflow import WorkflowNodeExecutionStatus @@ -233,17 +238,25 @@ class AgentNode(ToolNode): value = tool_value if parameter.type == "model-selector": value = cast(dict[str, Any], value) - model_instance = ModelManager().get_model_instance( - tenant_id=self.tenant_id, - provider=value.get("provider", ""), - model_type=ModelType(value.get("model_type", "")), - model=value.get("model", ""), - ) - models = model_instance.model_type_instance.plugin_model_provider.declaration.models - finded_model = next((model for model in models if model.model == value.get("model", "")), None) - - value["entity"] = finded_model.model_dump(mode="json") if finded_model else None - + model_instance, model_schema = self._fetch_model(value) + # memory config + history_prompt_messages = [] + if node_data.memory: + memory = self._fetch_memory(model_instance) + if memory: + prompt_messages = memory.get_history_prompt_messages( + message_limit=node_data.memory.window.size if node_data.memory.window.size else None + ) + history_prompt_messages = [ + prompt_message.model_dump(mode="json") for prompt_message in prompt_messages + ] + value["history_prompt_messages"] = history_prompt_messages + 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 @@ -297,3 +310,53 @@ class AgentNode(ToolNode): except StopIteration: icon = None return icon + + def _fetch_memory(self, model_instance: ModelInstance) -> Optional[TokenBufferMemory]: + # get conversation id + conversation_id_variable = self.graph_runtime_state.variable_pool.get( + ["sys", SystemVariableKey.CONVERSATION_ID.value] + ) + if not isinstance(conversation_id_variable, StringSegment): + return None + conversation_id = conversation_id_variable.value + + # get conversation + conversation = ( + db.session.query(Conversation) + .filter(Conversation.app_id == self.app_id, Conversation.id == conversation_id) + .first() + ) + + if not conversation: + return None + + memory = TokenBufferMemory(conversation=conversation, model_instance=model_instance) + + return memory + + def _fetch_model(self, value: dict[str, Any]) -> tuple[ModelInstance, AIModelEntity | None]: + provider_manager = ProviderManager() + provider_model_bundle = provider_manager.get_provider_model_bundle( + tenant_id=self.tenant_id, provider=value.get("provider", ""), model_type=ModelType.LLM + ) + model_name = value.get("model", "") + model_credentials = provider_model_bundle.configuration.get_current_credentials( + model_type=ModelType.LLM, model=model_name + ) + provider_name = provider_model_bundle.configuration.provider.provider + model_type_instance = provider_model_bundle.model_type_instance + model_instance = ModelManager().get_model_instance( + tenant_id=self.tenant_id, + provider=provider_name, + model_type=ModelType(value.get("model_type", "")), + model=model_name, + ) + 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 a10cee69bd..77e94375bf 100644 --- a/api/core/workflow/nodes/agent/entities.py +++ b/api/core/workflow/nodes/agent/entities.py @@ -3,6 +3,7 @@ from typing import Any, Literal, Union from pydantic import BaseModel +from core.prompt.entities.advanced_prompt_entities import MemoryConfig from core.tools.entities.tool_entities import ToolSelector from core.workflow.nodes.base.entities import BaseNodeData @@ -11,6 +12,7 @@ class AgentNodeData(BaseNodeData): agent_strategy_provider_name: str # redundancy agent_strategy_name: str agent_strategy_label: str # redundancy + memory: MemoryConfig | None = None class AgentInput(BaseModel): value: Union[list[str], list[ToolSelector], Any] @@ -22,3 +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/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index b1a50c2dcc..3c34c5b4e7 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -6,6 +6,7 @@ from core.helper.code_executor.code_executor import CodeExecutionError, CodeExec from core.helper.code_executor.code_node_provider import CodeNodeProvider from core.helper.code_executor.javascript.javascript_code_provider import JavascriptCodeProvider from core.helper.code_executor.python3.python3_code_provider import Python3CodeProvider +from core.variables.segments import ArrayFileSegment from core.workflow.entities.node_entities import NodeRunResult from core.workflow.nodes.base import BaseNode from core.workflow.nodes.code.entities import CodeNodeData @@ -49,7 +50,10 @@ class CodeNode(BaseNode[CodeNodeData]): for variable_selector in self.node_data.variables: variable_name = variable_selector.variable variable = self.graph_runtime_state.variable_pool.get(variable_selector.value_selector) - variables[variable_name] = variable.to_object() if variable else None + if isinstance(variable, ArrayFileSegment): + variables[variable_name] = [v.to_dict() for v in variable.value] if variable.value else None + else: + variables[variable_name] = variable.to_object() if variable else None # Run code try: result = CodeExecutor.execute_workflow_code_template( diff --git a/api/core/workflow/nodes/enums.py b/api/core/workflow/nodes/enums.py index d9a2c2d8a8..73b43eeaf7 100644 --- a/api/core/workflow/nodes/enums.py +++ b/api/core/workflow/nodes/enums.py @@ -17,6 +17,7 @@ class NodeType(StrEnum): LEGACY_VARIABLE_AGGREGATOR = "variable-assigner" # TODO: Merge this into VARIABLE_AGGREGATOR in the database. LOOP = "loop" LOOP_START = "loop-start" + LOOP_END = "loop-end" ITERATION = "iteration" ITERATION_START = "iteration-start" # Fake start node for iteration. PARAMETER_EXTRACTOR = "parameter-extractor" 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/if_else/entities.py b/api/core/workflow/nodes/if_else/entities.py index 23f5d2cc31..67d6d6a886 100644 --- a/api/core/workflow/nodes/if_else/entities.py +++ b/api/core/workflow/nodes/if_else/entities.py @@ -8,7 +8,7 @@ from core.workflow.utils.condition.entities import Condition class IfElseNodeData(BaseNodeData): """ - Answer Node Data. + If Else Node Data. """ class Case(BaseModel): 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..4ec033572c 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)) @@ -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/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..1089e7168e 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 @@ -22,12 +24,18 @@ 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.plugin.entities.plugin import ModelProviderID @@ -57,6 +65,12 @@ 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 +106,12 @@ 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 +150,6 @@ class LLMNode(BaseNode[LLMNodeData]): if isinstance(event, RunRetrieverResourceEvent): context = event.context yield event - if context: node_inputs["#context#"] = context @@ -192,7 +211,9 @@ 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, @@ -513,7 +534,12 @@ 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 +594,7 @@ 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 +656,14 @@ 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 +676,10 @@ 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 +709,7 @@ 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 +752,29 @@ 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 +973,170 @@ 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 +1273,49 @@ 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/loop/__init__.py b/api/core/workflow/nodes/loop/__init__.py index 9dd33be0ad..9fe695607b 100644 --- a/api/core/workflow/nodes/loop/__init__.py +++ b/api/core/workflow/nodes/loop/__init__.py @@ -1,5 +1,6 @@ from .entities import LoopNodeData +from .loop_end_node import LoopEndNode from .loop_node import LoopNode from .loop_start_node import LoopStartNode -__all__ = ["LoopNode", "LoopNodeData", "LoopStartNode"] +__all__ = ["LoopEndNode", "LoopNode", "LoopNodeData", "LoopStartNode"] diff --git a/api/core/workflow/nodes/loop/entities.py b/api/core/workflow/nodes/loop/entities.py index 4f9c149bdf..16802311dc 100644 --- a/api/core/workflow/nodes/loop/entities.py +++ b/api/core/workflow/nodes/loop/entities.py @@ -1,11 +1,23 @@ +from collections.abc import Mapping from typing import Any, Literal, Optional -from pydantic import Field +from pydantic import BaseModel, Field from core.workflow.nodes.base import BaseLoopNodeData, BaseLoopState, BaseNodeData from core.workflow.utils.condition.entities import Condition +class LoopVariableData(BaseModel): + """ + Loop Variable Data. + """ + + label: str + var_type: Literal["string", "number", "object", "array[string]", "array[number]", "array[object]"] + value_type: Literal["variable", "constant"] + value: Optional[Any | list[str]] = None + + class LoopNodeData(BaseLoopNodeData): """ Loop Node Data. @@ -14,6 +26,8 @@ class LoopNodeData(BaseLoopNodeData): loop_count: int # Maximum number of loops break_conditions: list[Condition] # Conditions to break the loop logical_operator: Literal["and", "or"] + loop_variables: Optional[list[LoopVariableData]] = Field(default_factory=list) + outputs: Optional[Mapping[str, Any]] = None class LoopStartNodeData(BaseNodeData): @@ -24,6 +38,14 @@ class LoopStartNodeData(BaseNodeData): pass +class LoopEndNodeData(BaseNodeData): + """ + Loop End Node Data. + """ + + pass + + class LoopState(BaseLoopState): """ Loop State. diff --git a/api/core/workflow/nodes/loop/loop_end_node.py b/api/core/workflow/nodes/loop/loop_end_node.py new file mode 100644 index 0000000000..5d4ce0ccbe --- /dev/null +++ b/api/core/workflow/nodes/loop/loop_end_node.py @@ -0,0 +1,20 @@ +from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.nodes.base import BaseNode +from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.loop.entities import LoopEndNodeData +from models.workflow import WorkflowNodeExecutionStatus + + +class LoopEndNode(BaseNode[LoopEndNodeData]): + """ + Loop End Node. + """ + + _node_data_cls = LoopEndNodeData + _node_type = NodeType.LOOP_END + + def _run(self) -> NodeRunResult: + """ + Run the node. + """ + return NodeRunResult(status=WorkflowNodeExecutionStatus.SUCCEEDED) diff --git a/api/core/workflow/nodes/loop/loop_node.py b/api/core/workflow/nodes/loop/loop_node.py index 65acf1211f..eae33c0a92 100644 --- a/api/core/workflow/nodes/loop/loop_node.py +++ b/api/core/workflow/nodes/loop/loop_node.py @@ -1,10 +1,20 @@ +import json import logging from collections.abc import Generator, Mapping, Sequence from datetime import UTC, datetime -from typing import Any, cast +from typing import TYPE_CHECKING, Any, Literal, cast from configs import dify_config -from core.variables import IntegerSegment +from core.variables import ( + ArrayNumberSegment, + ArrayObjectSegment, + ArrayStringSegment, + IntegerSegment, + ObjectSegment, + Segment, + SegmentType, + StringSegment, +) from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult from core.workflow.graph_engine.entities.event import ( BaseGraphEvent, @@ -29,6 +39,10 @@ from core.workflow.nodes.loop.entities import LoopNodeData from core.workflow.utils.condition.processor import ConditionProcessor from models.workflow import WorkflowNodeExecutionStatus +if TYPE_CHECKING: + from core.workflow.entities.variable_pool import VariablePool + from core.workflow.graph_engine.graph_engine import GraphEngine + logger = logging.getLogger(__name__) @@ -61,6 +75,28 @@ class LoopNode(BaseNode[LoopNodeData]): variable_pool = self.graph_runtime_state.variable_pool variable_pool.add([self.node_id, "index"], 0) + # Initialize loop variables + loop_variable_selectors = {} + if self.node_data.loop_variables: + for loop_variable in self.node_data.loop_variables: + value_processor = { + "constant": lambda var=loop_variable: self._get_segment_for_constant(var.var_type, var.value), + "variable": lambda var=loop_variable: variable_pool.get(var.value), + } + + if loop_variable.value_type not in value_processor: + raise ValueError( + f"Invalid value type '{loop_variable.value_type}' for loop variable {loop_variable.label}" + ) + + processed_segment = value_processor[loop_variable.value_type]() + if not processed_segment: + raise ValueError(f"Invalid value for loop variable {loop_variable.label}") + variable_selector = [self.node_id, loop_variable.label] + variable_pool.add(variable_selector, processed_segment.value) + loop_variable_selectors[loop_variable.label] = variable_selector + inputs[loop_variable.label] = processed_segment.value + from core.workflow.graph_engine.graph_engine import GraphEngine graph_engine = GraphEngine( @@ -95,135 +131,51 @@ class LoopNode(BaseNode[LoopNodeData]): predecessor_node_id=self.previous_node_id, ) - yield LoopRunNextEvent( - loop_id=self.id, - loop_node_id=self.node_id, - loop_node_type=self.node_type, - loop_node_data=self.node_data, - index=0, - pre_loop_output=None, - ) - + # yield LoopRunNextEvent( + # loop_id=self.id, + # loop_node_id=self.node_id, + # loop_node_type=self.node_type, + # loop_node_data=self.node_data, + # index=0, + # pre_loop_output=None, + # ) + loop_duration_map = {} + single_loop_variable_map = {} # single loop variable output try: check_break_result = False for i in range(loop_count): - # Run workflow - rst = graph_engine.run() - current_index_variable = variable_pool.get([self.node_id, "index"]) - if not isinstance(current_index_variable, IntegerSegment): - raise ValueError(f"loop {self.node_id} current index not found") - current_index = current_index_variable.value - - check_break_result = False - - for event in rst: - if isinstance(event, (BaseNodeEvent | BaseParallelBranchEvent)) and not event.in_loop_id: - event.in_loop_id = self.node_id - - if ( - isinstance(event, BaseNodeEvent) - and event.node_type == NodeType.LOOP_START - and not isinstance(event, NodeRunStreamChunkEvent) - ): - continue - - if isinstance(event, NodeRunSucceededEvent): - yield self._handle_event_metadata(event=event, iter_run_index=current_index) - - # Check if all variables in break conditions exist - exists_variable = False - for condition in break_conditions: - if not self.graph_runtime_state.variable_pool.get(condition.variable_selector): - exists_variable = False - break - else: - exists_variable = True - if exists_variable: - input_conditions, group_result, check_break_result = condition_processor.process_conditions( - variable_pool=self.graph_runtime_state.variable_pool, - conditions=break_conditions, - operator=logical_operator, - ) - if check_break_result: - break - - elif isinstance(event, BaseGraphEvent): - if isinstance(event, GraphRunFailedEvent): - # Loop run failed - yield LoopRunFailedEvent( - loop_id=self.id, - loop_node_id=self.node_id, - loop_node_type=self.node_type, - loop_node_data=self.node_data, - start_at=start_at, - inputs=inputs, - steps=i, - metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, - "completed_reason": "error", - }, - error=event.error, - ) - yield RunCompletedEvent( - run_result=NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - error=event.error, - metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens - }, - ) - ) - return - elif isinstance(event, NodeRunFailedEvent): - # Loop run failed - yield event - yield LoopRunFailedEvent( - loop_id=self.id, - loop_node_id=self.node_id, - loop_node_type=self.node_type, - loop_node_data=self.node_data, - start_at=start_at, - inputs=inputs, - steps=i, - metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, - "completed_reason": "error", - }, - error=event.error, - ) - yield RunCompletedEvent( - run_result=NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - error=event.error, - metadata={ - NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens - }, - ) - ) - return + loop_start_time = datetime.now(UTC).replace(tzinfo=None) + # run single loop + loop_result = yield from self._run_single_loop( + graph_engine=graph_engine, + loop_graph=loop_graph, + variable_pool=variable_pool, + loop_variable_selectors=loop_variable_selectors, + break_conditions=break_conditions, + logical_operator=logical_operator, + condition_processor=condition_processor, + current_index=i, + start_at=start_at, + inputs=inputs, + ) + loop_end_time = datetime.now(UTC).replace(tzinfo=None) + + single_loop_variable = {} + for key, selector in loop_variable_selectors.items(): + item = variable_pool.get(selector) + if item: + single_loop_variable[key] = item.value else: - yield self._handle_event_metadata(event=cast(InNodeEvent, event), iter_run_index=current_index) + single_loop_variable[key] = None - # Remove all nodes outputs from variable pool - for node_id in loop_graph.node_ids: - variable_pool.remove([node_id]) + loop_duration_map[str(i)] = (loop_end_time - loop_start_time).total_seconds() + single_loop_variable_map[str(i)] = single_loop_variable + + check_break_result = loop_result.get("check_break_result", False) if check_break_result: break - # Move to next loop - next_index = current_index + 1 - variable_pool.add([self.node_id, "index"], next_index) - - yield LoopRunNextEvent( - loop_id=self.id, - loop_node_id=self.node_id, - loop_node_type=self.node_type, - loop_node_data=self.node_data, - index=next_index, - pre_loop_output=None, - ) - # Loop completed successfully yield LoopRunSucceededEvent( loop_id=self.id, @@ -232,17 +184,26 @@ class LoopNode(BaseNode[LoopNodeData]): loop_node_data=self.node_data, start_at=start_at, inputs=inputs, + outputs=self.node_data.outputs, steps=loop_count, metadata={ NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, "completed_reason": "loop_break" if check_break_result else "loop_completed", + NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, ) yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + metadata={ + NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + }, + outputs=self.node_data.outputs, + inputs=inputs, ) ) @@ -260,6 +221,8 @@ class LoopNode(BaseNode[LoopNodeData]): metadata={ "total_tokens": graph_engine.graph_runtime_state.total_tokens, "completed_reason": "error", + NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, }, error=str(e), ) @@ -268,7 +231,11 @@ class LoopNode(BaseNode[LoopNodeData]): run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.FAILED, error=str(e), - metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + metadata={ + NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map, + NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map, + }, ) ) @@ -276,6 +243,159 @@ class LoopNode(BaseNode[LoopNodeData]): # Clean up variable_pool.remove([self.node_id, "index"]) + def _run_single_loop( + self, + *, + graph_engine: "GraphEngine", + loop_graph: Graph, + variable_pool: "VariablePool", + loop_variable_selectors: dict, + break_conditions: list, + logical_operator: Literal["and", "or"], + condition_processor: ConditionProcessor, + current_index: int, + start_at: datetime, + inputs: dict, + ) -> Generator[NodeEvent | InNodeEvent, None, dict]: + """Run a single loop iteration. + Returns: + dict: {'check_break_result': bool} + """ + # Run workflow + rst = graph_engine.run() + current_index_variable = variable_pool.get([self.node_id, "index"]) + if not isinstance(current_index_variable, IntegerSegment): + raise ValueError(f"loop {self.node_id} current index not found") + current_index = current_index_variable.value + + check_break_result = False + + for event in rst: + if isinstance(event, (BaseNodeEvent | BaseParallelBranchEvent)) and not event.in_loop_id: + event.in_loop_id = self.node_id + + if ( + isinstance(event, BaseNodeEvent) + and event.node_type == NodeType.LOOP_START + and not isinstance(event, NodeRunStreamChunkEvent) + ): + continue + + if ( + isinstance(event, NodeRunSucceededEvent) + and event.node_type == NodeType.LOOP_END + and not isinstance(event, NodeRunStreamChunkEvent) + ): + check_break_result = True + yield self._handle_event_metadata(event=event, iter_run_index=current_index) + break + + if isinstance(event, NodeRunSucceededEvent): + yield self._handle_event_metadata(event=event, iter_run_index=current_index) + + # Check if all variables in break conditions exist + exists_variable = False + for condition in break_conditions: + if not self.graph_runtime_state.variable_pool.get(condition.variable_selector): + exists_variable = False + break + else: + exists_variable = True + if exists_variable: + input_conditions, group_result, check_break_result = condition_processor.process_conditions( + variable_pool=self.graph_runtime_state.variable_pool, + conditions=break_conditions, + operator=logical_operator, + ) + if check_break_result: + break + + elif isinstance(event, BaseGraphEvent): + if isinstance(event, GraphRunFailedEvent): + # Loop run failed + yield LoopRunFailedEvent( + loop_id=self.id, + loop_node_id=self.node_id, + loop_node_type=self.node_type, + loop_node_data=self.node_data, + start_at=start_at, + inputs=inputs, + steps=current_index, + metadata={ + NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + "completed_reason": "error", + }, + error=event.error, + ) + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + error=event.error, + metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + ) + ) + return {"check_break_result": True} + elif isinstance(event, NodeRunFailedEvent): + # Loop run failed + yield event + yield LoopRunFailedEvent( + loop_id=self.id, + loop_node_id=self.node_id, + loop_node_type=self.node_type, + loop_node_data=self.node_data, + start_at=start_at, + inputs=inputs, + steps=current_index, + metadata={ + NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, + "completed_reason": "error", + }, + error=event.error, + ) + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + error=event.error, + metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens}, + ) + ) + return {"check_break_result": True} + else: + yield self._handle_event_metadata(event=cast(InNodeEvent, event), iter_run_index=current_index) + + # Remove all nodes outputs from variable pool + for node_id in loop_graph.node_ids: + variable_pool.remove([node_id]) + + _outputs = {} + for loop_variable_key, loop_variable_selector in loop_variable_selectors.items(): + _loop_variable_segment = variable_pool.get(loop_variable_selector) + if _loop_variable_segment: + _outputs[loop_variable_key] = _loop_variable_segment.value + else: + _outputs[loop_variable_key] = None + + _outputs["loop_round"] = current_index + 1 + self.node_data.outputs = _outputs + + if check_break_result: + return {"check_break_result": True} + + # Move to next loop + next_index = current_index + 1 + variable_pool.add([self.node_id, "index"], next_index) + + yield LoopRunNextEvent( + loop_id=self.id, + loop_node_id=self.node_id, + loop_node_type=self.node_type, + loop_node_data=self.node_data, + index=next_index, + pre_loop_output=self.node_data.outputs, + ) + + return {"check_break_result": False} + def _handle_event_metadata( self, *, @@ -360,3 +480,25 @@ class LoopNode(BaseNode[LoopNodeData]): } return variable_mapping + + @staticmethod + def _get_segment_for_constant(var_type: str, value: Any) -> Segment: + """Get the appropriate segment type for a constant value.""" + segment_mapping: dict[str, tuple[type[Segment], SegmentType]] = { + "string": (StringSegment, SegmentType.STRING), + "number": (IntegerSegment, SegmentType.NUMBER), + "object": (ObjectSegment, SegmentType.OBJECT), + "array[string]": (ArrayStringSegment, SegmentType.ARRAY_STRING), + "array[number]": (ArrayNumberSegment, SegmentType.ARRAY_NUMBER), + "array[object]": (ArrayObjectSegment, SegmentType.ARRAY_OBJECT), + } + if var_type in ["array[string]", "array[number]", "array[object]"]: + if value: + value = json.loads(value) + else: + value = [] + segment_info = segment_mapping.get(var_type) + if not segment_info: + raise ValueError(f"Invalid variable type: {var_type}") + segment_class, value_type = segment_info + return segment_class(value=value, value_type=value_type) diff --git a/api/core/workflow/nodes/node_mapping.py b/api/core/workflow/nodes/node_mapping.py index 63cd289760..1f1be59542 100644 --- a/api/core/workflow/nodes/node_mapping.py +++ b/api/core/workflow/nodes/node_mapping.py @@ -13,7 +13,7 @@ from core.workflow.nodes.iteration import IterationNode, IterationStartNode from core.workflow.nodes.knowledge_retrieval import KnowledgeRetrievalNode from core.workflow.nodes.list_operator import ListOperatorNode from core.workflow.nodes.llm import LLMNode -from core.workflow.nodes.loop import LoopNode, LoopStartNode +from core.workflow.nodes.loop import LoopEndNode, LoopNode, LoopStartNode from core.workflow.nodes.parameter_extractor import ParameterExtractorNode from core.workflow.nodes.question_classifier import QuestionClassifierNode from core.workflow.nodes.start import StartNode @@ -94,6 +94,10 @@ NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = { LATEST_VERSION: LoopStartNode, "1": LoopStartNode, }, + NodeType.LOOP_END: { + LATEST_VERSION: LoopEndNode, + "1": LoopEndNode, + }, NodeType.PARAMETER_EXTRACTOR: { LATEST_VERSION: ParameterExtractorNode, "1": ParameterExtractorNode, 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 7b1b8cf483..8db1e432fc 100644 --- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py +++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py @@ -1,4 +1,5 @@ import json +import logging import uuid from collections.abc import Mapping, Sequence from typing import Any, Optional, cast @@ -58,6 +59,30 @@ from .prompts import ( FUNCTION_CALLING_EXTRACTOR_USER_TEMPLATE, ) +logger = logging.getLogger(__name__) + + +def extract_json(text): + """ + From a given JSON started from '{' or '[' extract the complete JSON object. + """ + stack = [] + for i, c in enumerate(text): + if c in {"{", "["}: + stack.append(c) + elif c in {"}", "]"}: + # check if stack is empty + if not stack: + return text[:i] + # check if the last element in stack is matching + if (c == "}" and stack[-1] == "{") or (c == "]" and stack[-1] == "["): + stack.pop() + if not stack: + return text[: i + 1] + else: + return text[:i] + return None + class ParameterExtractorNode(LLMNode): """ @@ -161,6 +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: @@ -594,27 +621,6 @@ class ParameterExtractorNode(LLMNode): Extract complete json response. """ - def extract_json(text): - """ - From a given JSON started from '{' or '[' extract the complete JSON object. - """ - stack = [] - for i, c in enumerate(text): - if c in {"{", "["}: - stack.append(c) - elif c in {"}", "]"}: - # check if stack is empty - if not stack: - return text[:i] - # check if the last element in stack is matching - if (c == "}" and stack[-1] == "{") or (c == "]" and stack[-1] == "["): - stack.pop() - if not stack: - return text[: i + 1] - else: - return text[:i] - return None - # extract json from the text for idx in range(len(result)): if result[idx] == "{" or result[idx] == "[": @@ -624,6 +630,7 @@ class ParameterExtractorNode(LLMNode): return cast(dict, json.loads(json_str)) except Exception: pass + logger.info(f"extra error: {result}") return None def _extract_json_from_tool_call(self, tool_call: AssistantPromptMessage.ToolCall) -> Optional[dict]: @@ -633,7 +640,18 @@ class ParameterExtractorNode(LLMNode): if not tool_call or not tool_call.function.arguments: return None - return cast(dict, json.loads(tool_call.function.arguments)) + result = tool_call.function.arguments + # extract json from the arguments + for idx in range(len(result)): + if result[idx] == "{" or result[idx] == "[": + json_str = extract_json(result[idx:]) + if json_str: + try: + return cast(dict, json.loads(json_str)) + except Exception: + pass + logger.info(f"extra error: {result}") + return None def _generate_default_result(self, data: ParameterExtractorNodeData) -> dict: """ 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 53fc136b2c..70178ed934 100644 --- a/api/core/workflow/nodes/question_classifier/template_prompts.py +++ b/api/core/workflow/nodes/question_classifier/template_prompts.py @@ -1,21 +1,21 @@ QUESTION_CLASSIFIER_SYSTEM_PROMPT = """ - ### Job Description', - You are a text classification engine that analyzes text data and assigns categories based on user input or automatically determined categories. - ### Task - 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 - DO NOT include anything other than the JSON array in your response. - ### Memory - Here are the chat histories between human and assistant, inside XML tags. - - {histories} - +### Job Description', +You are a text classification engine that analyzes text data and assigns categories based on user input or automatically determined categories. +### Task +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 +DO NOT include anything other than the JSON array in your response. +### Memory +Here are the chat histories between human and assistant, inside XML tags. + +{histories} + """ # noqa: E501 QUESTION_CLASSIFIER_USER_PROMPT_1 = """ - { "input_text": ["I recently had a great experience with your company. The service was prompt and the staff was very friendly."], + {"input_text": ["I recently had a great experience with your company. The service was prompt and the staff was very friendly."], "categories": [{"category_id":"f5660049-284f-41a7-b301-fd24176a711c","category_name":"Customer Service"},{"category_id":"8d007d06-f2c9-4be5-8ff6-cd4381c13c60","category_name":"Satisfaction"},{"category_id":"5fbbbb18-9843-466d-9b8e-b9bfbb9482c8","category_name":"Sales"},{"category_id":"23623c75-7184-4a2e-8226-466c2e4631e4","category_name":"Product"}], "classification_instructions": ["classify the text based on the feedback provided by customer"]} """ # noqa: E501 @@ -43,9 +43,9 @@ QUESTION_CLASSIFIER_ASSISTANT_PROMPT_2 = """ """ QUESTION_CLASSIFIER_USER_PROMPT_3 = """ - '{{"input_text": ["{input_text}"],', - '"categories": {categories}, ', - '"classification_instructions": ["{classification_instructions}"]}}' + {{"input_text": ["{input_text}"], + "categories": {categories}, + "classification_instructions": ["{classification_instructions}"]}} """ QUESTION_CLASSIFIER_COMPLETION_PROMPT = """ diff --git a/api/core/workflow/nodes/template_transform/entities.py b/api/core/workflow/nodes/template_transform/entities.py index 96adff6ffa..ecff438cff 100644 --- a/api/core/workflow/nodes/template_transform/entities.py +++ b/api/core/workflow/nodes/template_transform/entities.py @@ -4,7 +4,7 @@ from core.workflow.nodes.base import BaseNodeData class TemplateTransformNodeData(BaseNodeData): """ - Code Node Data. + Template Transform Node Data. """ variables: list[VariableSelector] diff --git a/api/core/workflow/nodes/variable_aggregator/entities.py b/api/core/workflow/nodes/variable_aggregator/entities.py index 71a930e6b0..9e58f5e944 100644 --- a/api/core/workflow/nodes/variable_aggregator/entities.py +++ b/api/core/workflow/nodes/variable_aggregator/entities.py @@ -26,7 +26,7 @@ class AdvancedSettings(BaseModel): class VariableAssignerNodeData(BaseNodeData): """ - Knowledge retrieval Node Data. + Variable Assigner Node Data. """ type: str = "variable-assigner" diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py index afa5656f46..0305eb7f41 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/node.py +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -2,6 +2,7 @@ import json from collections.abc import Sequence from typing import Any, cast +from core.app.entities.app_invoke_entities import InvokeFrom from core.variables import SegmentType, Variable from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID from core.workflow.entities.node_entities import NodeRunResult @@ -123,13 +124,14 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): if variable.selector[0] == CONVERSATION_VARIABLE_NODE_ID: conversation_id = self.graph_runtime_state.variable_pool.get(["sys", "conversation_id"]) if not conversation_id: - raise ConversationIDNotFoundError + if self.invoke_from != InvokeFrom.DEBUGGER: + raise ConversationIDNotFoundError else: conversation_id = conversation_id.value - common_helpers.update_conversation_variable( - conversation_id=cast(str, conversation_id), - variable=variable, - ) + common_helpers.update_conversation_variable( + conversation_id=cast(str, conversation_id), + variable=variable, + ) return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, 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/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_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..a2edd832ec --- /dev/null +++ b/api/extensions/ext_otel.py @@ -0,0 +1,168 @@ +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 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_current_span, get_tracer_provider, set_tracer_provider +from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator +from opentelemetry.trace.status import StatusCode + +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 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): + if dify_config.ENABLE_OTEL: + 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() + init_sqlalchemy_instrumentor(app) + atexit.register(shutdown_tracer) + + +def is_celery_worker(): + return "celery" in sys.argv[0].lower() + + +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) + ] + ) + ) + + +@worker_init.connect(weak=False) +def init_celery_worker(*args, **kwargs): + 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() + + +def shutdown_tracer(): + provider = trace.get_tracer_provider() + if hasattr(provider, "force_flush"): + provider.force_flush() diff --git a/api/extensions/ext_otel_patch.py b/api/extensions/ext_otel_patch.py new file mode 100644 index 0000000000..58309fe4d1 --- /dev/null +++ b/api/extensions/ext_otel_patch.py @@ -0,0 +1,63 @@ +""" +Patch for OpenTelemetry context detach method to handle None tokens gracefully. + +This patch addresses the issue where OpenTelemetry's context.detach() method raises a TypeError +when called with a None token. The error occurs in the contextvars_context.py file where it tries +to call reset() on a None token. + +Related GitHub issue: https://github.com/langgenius/dify/issues/18496 + +Error being fixed: +``` +Traceback (most recent call last): + File "opentelemetry/context/__init__.py", line 154, in detach + _RUNTIME_CONTEXT.detach(token) + File "opentelemetry/context/contextvars_context.py", line 50, in detach + self._current_context.reset(token) # type: ignore + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +TypeError: expected an instance of Token, got None +``` + +Instead of modifying the third-party package directly, this patch monkey-patches the +context.detach method to gracefully handle None tokens. +""" + +import logging +from functools import wraps + +from opentelemetry import context + +logger = logging.getLogger(__name__) + +# Store the original detach method +original_detach = context.detach + + +# Create a patched version that handles None tokens +@wraps(original_detach) +def patched_detach(token): + """ + A patched version of context.detach that handles None tokens gracefully. + """ + if token is None: + logger.debug("Attempted to detach a None token, skipping") + return + + return original_detach(token) + + +def is_enabled(): + """ + Check if the extension is enabled. + Always enable this patch to prevent errors even when OpenTelemetry is disabled. + """ + return True + + +def init_app(app): + """ + Initialize the OpenTelemetry context patch. + """ + # Replace the original detach method with our patched version + context.detach = patched_detach + logger.info("OpenTelemetry context.detach patched to handle None tokens") diff --git a/api/extensions/ext_repositories.py b/api/extensions/ext_repositories.py new file mode 100644 index 0000000000..27d8408ec1 --- /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 dify_app import DifyApp +from repositories.repository_registry import register_repositories + + +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..4c811c66ba 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 +82,25 @@ 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) storage = Storage() diff --git a/api/factories/file_factory.py b/api/factories/file_factory.py index 60de7a11b5..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) @@ -252,10 +276,17 @@ 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) - if file_type.value != mapping.get("type", "custom"): + 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"), tenant_id=tenant_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/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/2025_03_29_2227-6a9f914f656c_change_documentsegment_and_childchunk_.py b/api/migrations/versions/2025_03_29_2227-6a9f914f656c_change_documentsegment_and_childchunk_.py new file mode 100644 index 0000000000..45904f0c80 --- /dev/null +++ b/api/migrations/versions/2025_03_29_2227-6a9f914f656c_change_documentsegment_and_childchunk_.py @@ -0,0 +1,43 @@ +"""change documentsegment and childchunk indexes + +Revision ID: 6a9f914f656c +Revises: d20049ed0af6 +Create Date: 2025-03-29 22:27:24.789481 + +""" +from alembic import op +import models as models +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision = '6a9f914f656c' +down_revision = 'd20049ed0af6' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('child_chunks', schema=None) as batch_op: + batch_op.create_index('child_chunks_node_idx', ['index_node_id', 'dataset_id'], unique=False) + batch_op.create_index('child_chunks_segment_idx', ['segment_id'], unique=False) + + with op.batch_alter_table('document_segments', schema=None) as batch_op: + batch_op.drop_index('document_segment_dataset_node_idx') + batch_op.create_index('document_segment_node_dataset_idx', ['index_node_id', 'dataset_id'], unique=False) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('document_segments', schema=None) as batch_op: + batch_op.drop_index('document_segment_node_dataset_idx') + batch_op.create_index('document_segment_dataset_node_idx', ['dataset_id', 'index_node_id'], unique=False) + + with op.batch_alter_table('child_chunks', schema=None) as batch_op: + batch_op.drop_index('child_chunks_segment_idx') + batch_op.drop_index('child_chunks_node_idx') + + # ### end Alembic commands ### diff --git a/api/models/dataset.py b/api/models/dataset.py index 47f96c669e..d6708ac88b 100644 --- a/api/models/dataset.py +++ b/api/models/dataset.py @@ -643,7 +643,7 @@ class DocumentSegment(db.Model): # type: ignore[name-defined] db.Index("document_segment_document_id_idx", "document_id"), db.Index("document_segment_tenant_dataset_idx", "dataset_id", "tenant_id"), db.Index("document_segment_tenant_document_idx", "document_id", "tenant_id"), - db.Index("document_segment_dataset_node_idx", "dataset_id", "index_node_id"), + db.Index("document_segment_node_dataset_idx", "index_node_id", "dataset_id"), db.Index("document_segment_tenant_idx", "tenant_id"), ) @@ -791,6 +791,8 @@ class ChildChunk(db.Model): # type: ignore[name-defined] __table_args__ = ( db.PrimaryKeyConstraint("id", name="child_chunk_pkey"), db.Index("child_chunk_dataset_id_idx", "tenant_id", "dataset_id", "document_id", "segment_id", "index_node_id"), + db.Index("child_chunks_node_idx", "index_node_id", "dataset_id"), + db.Index("child_chunks_segment_idx", "segment_id"), ) # initial fields diff --git a/api/models/model.py b/api/models/model.py index 8262109ba5..d1490d75c8 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"], } @@ -1090,12 +1088,7 @@ 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 +1147,7 @@ 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 d7b6eabfee..0000000000 --- a/api/poetry.lock +++ /dev/null @@ -1,10151 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.1 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", "msg", "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. - -############################################################ -# [ 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" +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", +] ############################################################ -# [ 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" - -############################################################ -# [ 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" -mypy = "~1.13.0" -pytest = "~8.3.2" -pytest-benchmark = "~4.0.0" -pytest-env = "~1.1.3" -pytest-mock = "~3.14.0" -types-beautifulsoup4 = "~4.12.0" -types-deprecated = "~1.2.15" -types-flask-cors = "~4.0.0" -types-flask-migrate = "~4.1.0" -types-html5lib = "~1.1.11" -types-openpyxl = "~3.1.5" -types-protobuf = "~4.25.0" -types-psutil = "~7.0.0" -types-psycopg2 = "~2.9.21" -types-python-dateutil = "~2.9.0" -types-pytz = "~2025.1" -types-pyyaml = "~6.0.2" -types-regex = "~2024.11.6" -types-requests = "~2.31.0" -types-six = "~1.17.0" -types-tqdm = "~4.67.0" +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~=3.21.0", + "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/repositories/__init__.py b/api/repositories/__init__.py new file mode 100644 index 0000000000..4cc339688b --- /dev/null +++ b/api/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.repository package. +""" diff --git a/api/repositories/repository_registry.py b/api/repositories/repository_registry.py new file mode 100644 index 0000000000..aa0a208d8e --- /dev/null +++ b/api/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.repository.repository_factory import RepositoryFactory +from extensions.ext_database import db +from repositories.workflow_node_execution import SQLAlchemyWorkflowNodeExecutionRepository + +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/repositories/workflow_node_execution/__init__.py b/api/repositories/workflow_node_execution/__init__.py new file mode 100644 index 0000000000..eed827bd05 --- /dev/null +++ b/api/repositories/workflow_node_execution/__init__.py @@ -0,0 +1,9 @@ +""" +WorkflowNodeExecution repository implementations. +""" + +from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository + +__all__ = [ + "SQLAlchemyWorkflowNodeExecutionRepository", +] diff --git a/api/repositories/workflow_node_execution/sqlalchemy_repository.py b/api/repositories/workflow_node_execution/sqlalchemy_repository.py new file mode 100644 index 0000000000..e0ad384be6 --- /dev/null +++ b/api/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.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/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/app_dsl_service.py b/api/services/app_dsl_service.py index 67ef4c319a..936101c78c 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -1,3 +1,5 @@ +import base64 +import hashlib import logging import uuid from collections.abc import Mapping @@ -7,6 +9,8 @@ from urllib.parse import urlparse from uuid import uuid4 import yaml # type: ignore +from Crypto.Cipher import AES +from Crypto.Util.Padding import pad, unpad from packaging import version from pydantic import BaseModel, Field from sqlalchemy import select @@ -36,7 +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): @@ -478,6 +482,15 @@ class AppDslService: unique_hash = current_draft_workflow.unique_hash else: unique_hash = None + graph = workflow_data.get("graph", {}) + for node in graph.get("nodes", []): + if node.get("data", {}).get("type", "") == NodeType.KNOWLEDGE_RETRIEVAL.value: + dataset_ids = node["data"].get("dataset_ids", []) + node["data"]["dataset_ids"] = [ + decrypted_id + for dataset_id in dataset_ids + if (decrypted_id := self.decrypt_dataset_id(encrypted_data=dataset_id, tenant_id=app.tenant_id)) + ] workflow_service.sync_draft_workflow( app_model=app, graph=workflow_data.get("graph", {}), @@ -552,7 +565,15 @@ class AppDslService: if not workflow: raise ValueError("Missing draft workflow configuration, please check.") - export_data["workflow"] = workflow.to_dict(include_secret=include_secret) + workflow_dict = workflow.to_dict(include_secret=include_secret) + for node in workflow_dict.get("graph", {}).get("nodes", []): + if node.get("data", {}).get("type", "") == NodeType.KNOWLEDGE_RETRIEVAL.value: + dataset_ids = node["data"].get("dataset_ids", []) + node["data"]["dataset_ids"] = [ + cls.encrypt_dataset_id(dataset_id=dataset_id, tenant_id=app_model.tenant_id) + for dataset_id in dataset_ids + ] + export_data["workflow"] = workflow_dict dependencies = cls._extract_dependencies_from_workflow(workflow) export_data["dependencies"] = [ jsonable_encoder(d.model_dump()) @@ -724,3 +745,29 @@ class AppDslService: return [] return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dependencies) + + @staticmethod + def _generate_aes_key(tenant_id: str) -> bytes: + """Generate AES key based on tenant_id""" + return hashlib.sha256(tenant_id.encode()).digest() + + @classmethod + def encrypt_dataset_id(cls, dataset_id: str, tenant_id: str) -> str: + """Encrypt dataset_id using AES-CBC mode""" + key = cls._generate_aes_key(tenant_id) + iv = key[:16] + cipher = AES.new(key, AES.MODE_CBC, iv) + ct_bytes = cipher.encrypt(pad(dataset_id.encode(), AES.block_size)) + return base64.b64encode(ct_bytes).decode() + + @classmethod + def decrypt_dataset_id(cls, encrypted_data: str, tenant_id: str) -> str | None: + """AES decryption""" + try: + key = cls._generate_aes_key(tenant_id) + iv = key[:16] + cipher = AES.new(key, AES.MODE_CBC, iv) + pt = unpad(cipher.decrypt(base64.b64decode(encrypted_data)), AES.block_size) + return pt.decode() + except Exception: + return None diff --git a/api/services/auth/api_key_auth_factory.py b/api/services/auth/api_key_auth_factory.py index f91c448fb9..7ae31b0768 100644 --- a/api/services/auth/api_key_auth_factory.py +++ b/api/services/auth/api_key_auth_factory.py @@ -17,6 +17,10 @@ class ApiKeyAuthFactory: from services.auth.firecrawl.firecrawl import FirecrawlAuth return FirecrawlAuth + case AuthType.WATERCRAWL: + from services.auth.watercrawl.watercrawl import WatercrawlAuth + + return WatercrawlAuth case AuthType.JINA: from services.auth.jina.jina import JinaAuth diff --git a/api/services/auth/auth_type.py b/api/services/auth/auth_type.py index 2e1946841f..ec7118df27 100644 --- a/api/services/auth/auth_type.py +++ b/api/services/auth/auth_type.py @@ -3,4 +3,5 @@ from enum import StrEnum class AuthType(StrEnum): FIRECRAWL = "firecrawl" + WATERCRAWL = "watercrawl" JINA = "jinareader" diff --git a/api/services/auth/watercrawl/__init__.py b/api/services/auth/watercrawl/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/services/auth/watercrawl/watercrawl.py b/api/services/auth/watercrawl/watercrawl.py new file mode 100644 index 0000000000..153ab5ba75 --- /dev/null +++ b/api/services/auth/watercrawl/watercrawl.py @@ -0,0 +1,44 @@ +import json +from urllib.parse import urljoin + +import requests + +from services.auth.api_key_auth_base import ApiKeyAuthBase + + +class WatercrawlAuth(ApiKeyAuthBase): + def __init__(self, credentials: dict): + super().__init__(credentials) + auth_type = credentials.get("auth_type") + if auth_type != "x-api-key": + raise ValueError("Invalid auth type, WaterCrawl auth type must be x-api-key") + self.api_key = credentials.get("config", {}).get("api_key", None) + self.base_url = credentials.get("config", {}).get("base_url", "https://app.watercrawl.dev") + + if not self.api_key: + raise ValueError("No API key provided") + + def validate_credentials(self): + headers = self._prepare_headers() + url = urljoin(self.base_url, "/api/v1/core/crawl-requests/") + response = self._get_request(url, headers) + if response.status_code == 200: + return True + else: + self._handle_error(response) + + def _prepare_headers(self): + return {"Content-Type": "application/json", "X-API-KEY": self.api_key} + + def _get_request(self, url, headers): + return requests.get(url, headers=headers) + + def _handle_error(self, response): + if response.status_code in {402, 409, 500}: + error_message = response.json().get("error", "Unknown error occurred") + raise Exception(f"Failed to authorize. Status code: {response.status_code}. Error: {error_message}") + else: + if response.text: + error_message = json.loads(response.text).get("error", "Unknown error occurred") + raise Exception(f"Failed to authorize. Status code: {response.status_code}. Error: {error_message}") + raise Exception(f"Unexpected error occurred while trying to authorize. Status code: {response.status_code}") diff --git a/api/services/billing_service.py b/api/services/billing_service.py index ab68aad45a..d44483ad89 100644 --- a/api/services/billing_service.py +++ b/api/services/billing_service.py @@ -6,7 +6,7 @@ from tenacity import retry, retry_if_exception_type, stop_before_delay, wait_fix from extensions.ext_database import db from libs.helper import RateLimiter -from models.account import TenantAccountJoin, TenantAccountRole +from models.account import Account, TenantAccountJoin, TenantAccountRole class BillingService: @@ -106,6 +106,48 @@ class BillingService: json = {"email": email, "feedback": feedback} return cls._send_request("POST", "/account/delete-feedback", json=json) + class EducationIdentity: + verification_rate_limit = RateLimiter(prefix="edu_verification_rate_limit", max_attempts=10, time_window=60) + activation_rate_limit = RateLimiter(prefix="edu_activation_rate_limit", max_attempts=10, time_window=60) + + @classmethod + def verify(cls, account_id: str, account_email: str): + if cls.verification_rate_limit.is_rate_limited(account_email): + from controllers.console.error import EducationVerifyLimitError + + raise EducationVerifyLimitError() + + cls.verification_rate_limit.increment_rate_limit(account_email) + + params = {"account_id": account_id} + return BillingService._send_request("GET", "/education/verify", params=params) + + @classmethod + def is_active(cls, account_id: str): + params = {"account_id": account_id} + return BillingService._send_request("GET", "/education/status", params=params) + + @classmethod + def activate(cls, account: Account, token: str, institution: str, role: str): + if cls.activation_rate_limit.is_rate_limited(account.email): + from controllers.console.error import EducationActivateLimitError + + raise EducationActivateLimitError() + + cls.activation_rate_limit.increment_rate_limit(account.email) + params = {"account_id": account.id, "curr_tenant_id": account.current_tenant_id} + json = { + "institution": institution, + "token": token, + "role": role, + } + return BillingService._send_request("POST", "/education/", json=json, params=params) + + @classmethod + def autocomplete(cls, keywords: str, page: int = 0, limit: int = 20): + params = {"keywords": keywords, "page": page, "limit": limit} + return BillingService._send_request("GET", "/education/autocomplete", params=params) + @classmethod def get_compliance_download_link( cls, diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index 8f88cecbe6..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, @@ -880,6 +905,9 @@ class DocumentService: website_info = knowledge_config.data_source.info_list.website_info_list count = len(website_info.urls) # type: ignore batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT) + + if features.billing.subscription.plan == "sandbox" and count > 1: + raise ValueError("Your current plan does not support batch upload, please upgrade your plan.") if count > batch_upload_limit: raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.") @@ -920,11 +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: @@ -1328,6 +1356,8 @@ class DocumentService: website_info = knowledge_config.data_source.info_list.website_info_list # type: ignore if website_info: count = len(website_info.urls) + if features.billing.subscription.plan == "sandbox" and count > 1: + raise ValueError("Your current plan does not support batch upload, please upgrade your plan.") batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT) if count > batch_upload_limit: raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.") @@ -1663,6 +1693,7 @@ class SegmentService: content=content, word_count=len(content), tokens=tokens, + keywords=segment_item.get("keywords", []), status="completed", indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), @@ -1780,12 +1811,8 @@ class SegmentService: ) elif document.doc_form in (IndexType.PARAGRAPH_INDEX, IndexType.QA_INDEX): if args.enabled or keyword_changed: - VectorService.create_segments_vector( - [args.keywords] if args.keywords else None, - [segment], - dataset, - document.doc_form, - ) + # update segment vector index + VectorService.update_segment_vector(args.keywords, segment, dataset) else: segment_hash = helper.generate_text_hash(content) tokens = 0 @@ -1998,7 +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, @@ -2148,7 +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( @@ -2161,10 +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/feature_service.py b/api/services/feature_service.py index add34d9f43..c2226c319f 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -17,6 +17,11 @@ class BillingModel(BaseModel): subscription: SubscriptionModel = SubscriptionModel() +class EducationModel(BaseModel): + enabled: bool = False + activated: bool = False + + class LimitationModel(BaseModel): size: int = 0 limit: int = 0 @@ -38,6 +43,7 @@ class LicenseModel(BaseModel): class FeatureModel(BaseModel): billing: BillingModel = BillingModel() + education: EducationModel = EducationModel() members: LimitationModel = LimitationModel(size=0, limit=1) apps: LimitationModel = LimitationModel(size=0, limit=10) vector_space: LimitationModel = LimitationModel(size=0, limit=5) @@ -128,6 +134,7 @@ class FeatureService: features.can_replace_logo = dify_config.CAN_REPLACE_LOGO features.model_load_balancing_enabled = dify_config.MODEL_LB_ENABLED features.dataset_operator_enabled = dify_config.DATASET_OPERATOR_ENABLED + features.education.enabled = dify_config.EDUCATION_ENABLED @classmethod def _fulfill_params_from_billing_api(cls, features: FeatureModel, tenant_id: str): @@ -136,6 +143,7 @@ class FeatureService: features.billing.enabled = billing_info["enabled"] features.billing.subscription.plan = billing_info["subscription"]["plan"] features.billing.subscription.interval = billing_info["subscription"]["interval"] + features.education.activated = billing_info["subscription"].get("education", False) if "members" in billing_info: features.members.size = billing_info["members"]["size"] diff --git a/api/services/file_service.py b/api/services/file_service.py index 284e96c97a..b4442c36c3 100644 --- a/api/services/file_service.py +++ b/api/services/file_service.py @@ -92,6 +92,11 @@ class FileService: db.session.add(upload_file) db.session.commit() + if not upload_file.source_url: + upload_file.source_url = file_helpers.get_signed_file_url(upload_file_id=upload_file.id) + db.session.add(upload_file) + db.session.commit() + return upload_file @staticmethod diff --git a/api/services/hit_testing_service.py b/api/services/hit_testing_service.py index f8c1c1d297..0b98065f5d 100644 --- a/api/services/hit_testing_service.py +++ b/api/services/hit_testing_service.py @@ -29,15 +29,6 @@ class HitTestingService: external_retrieval_model: dict, limit: int = 10, ) -> dict: - if dataset.available_document_count == 0 or dataset.available_segment_count == 0: - return { - "query": { - "content": query, - "tsne_position": {"x": 0, "y": 0}, - }, - "records": [], - } - start = time.perf_counter() # get retrieval model , if the model is not setting , using default diff --git a/api/services/plugin/data_migration.py b/api/services/plugin/data_migration.py index 7228a16632..597585588b 100644 --- a/api/services/plugin/data_migration.py +++ b/api/services/plugin/data_migration.py @@ -127,18 +127,32 @@ limit 1000""" processed_count = 0 failed_ids = [] + last_id = "00000000-0000-0000-0000-000000000000" + while True: - sql = f"""select id, {provider_column_name} as provider_name from {table_name} -where {provider_column_name} not like '%/%' and {provider_column_name} is not null and {provider_column_name} != '' -limit 1000""" + sql = f""" + SELECT id, {provider_column_name} AS provider_name + FROM {table_name} + 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 + LIMIT 5000 + """ + params = {"last_id": last_id or ""} + with db.engine.begin() as conn: - rs = conn.execute(db.text(sql)) + rs = conn.execute(db.text(sql), params) current_iter_count = 0 + batch_updates = [] + for i in rs: current_iter_count += 1 processed_count += 1 record_id = str(i.id) + last_id = record_id provider_name = str(i.provider_name) if record_id in failed_ids: @@ -152,19 +166,9 @@ limit 1000""" ) try: - # update provider name append with "langgenius/{provider_name}/{provider_name}" - sql = f"""update {table_name} - set {provider_column_name} = - concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) - where id = :record_id""" - conn.execute(db.text(sql), {"record_id": record_id}) - click.echo( - click.style( - f"[{processed_count}] Migrated [{table_name}] {record_id} ({provider_name})", - fg="green", - ) - ) - except Exception: + updated_value = f"{DEFAULT_PLUGIN_ID}/{provider_name}/{provider_name}" + batch_updates.append((updated_value, record_id)) + except Exception as e: failed_ids.append(record_id) click.echo( click.style( @@ -177,6 +181,20 @@ limit 1000""" ) continue + if batch_updates: + update_sql = f""" + 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]) + click.echo( + click.style( + f"[{processed_count}] Batch migrated [{len(batch_updates)}] records from [{table_name}]", + fg="green", + ) + ) + if not current_iter_count: break diff --git a/api/services/plugin/dependencies_analysis.py b/api/services/plugin/dependencies_analysis.py index 778f05a0cd..07e624b4e8 100644 --- a/api/services/plugin/dependencies_analysis.py +++ b/api/services/plugin/dependencies_analysis.py @@ -1,3 +1,4 @@ +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 @@ -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/plugin_service.py b/api/services/plugin/plugin_service.py index 749bb1a5b4..96a07d36b9 100644 --- a/api/services/plugin/plugin_service.py +++ b/api/services/plugin/plugin_service.py @@ -94,6 +94,13 @@ class PluginService: manager = PluginDebuggingManager() return manager.get_debugging_key(tenant_id) + @staticmethod + def list_latest_versions(plugin_ids: Sequence[str]) -> Mapping[str, Optional[LatestPluginCache]]: + """ + List the latest versions of the plugins + """ + return PluginService.fetch_latest_plugin_version(plugin_ids) + @staticmethod def list(tenant_id: str) -> list[PluginEntity]: """ @@ -101,22 +108,6 @@ class PluginService: """ manager = PluginInstallationManager() plugins = manager.list_plugins(tenant_id) - plugin_ids = [plugin.plugin_id for plugin in plugins if plugin.source == PluginInstallationSource.Marketplace] - try: - manifests = PluginService.fetch_latest_plugin_version(plugin_ids) - except Exception: - manifests = {} - logger.exception("failed to fetch plugin manifests") - - for plugin in plugins: - if plugin.source == PluginInstallationSource.Marketplace: - if plugin.plugin_id in manifests: - latest_plugin_cache = manifests[plugin.plugin_id] - if latest_plugin_cache: - # set latest_version - plugin.latest_version = latest_plugin_cache.version - plugin.latest_unique_identifier = latest_plugin_cache.unique_identifier - return plugins @staticmethod @@ -318,6 +309,22 @@ class PluginService: ], ) + @staticmethod + def fetch_marketplace_pkg( + tenant_id: str, plugin_unique_identifier: str, verify_signature: bool = False + ) -> PluginDeclaration: + """ + Fetch marketplace package + """ + manager = PluginInstallationManager() + 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 diff --git a/api/services/tag_service.py b/api/services/tag_service.py index 8cc903bde5..1fbaee96e8 100644 --- a/api/services/tag_service.py +++ b/api/services/tag_service.py @@ -20,7 +20,7 @@ class TagService: ) if keyword: query = query.filter(db.and_(Tag.name.ilike(f"%{keyword}%"))) - query = query.group_by(Tag.id, Tag.type, Tag.name) + query = query.group_by(Tag.id, Tag.type, Tag.name, Tag.created_at) results: list = query.order_by(Tag.created_at.desc()).all() return results diff --git a/api/services/website_service.py b/api/services/website_service.py index 85d32c9e8a..460a637a43 100644 --- a/api/services/website_service.py +++ b/api/services/website_service.py @@ -7,6 +7,7 @@ from flask_login import current_user # type: ignore from core.helper import encrypter from core.rag.extractor.firecrawl.firecrawl_app import FirecrawlApp +from core.rag.extractor.watercrawl.provider import WaterCrawlProvider from extensions.ext_redis import redis_client from extensions.ext_storage import storage from services.auth.api_key_auth_service import ApiKeyAuthService @@ -59,6 +60,13 @@ class WebsiteService: time = str(datetime.datetime.now().timestamp()) redis_client.setex(website_crawl_time_cache_key, 3600, time) return {"status": "active", "job_id": job_id} + elif provider == "watercrawl": + # decrypt api_key + api_key = encrypter.decrypt_token( + tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") + ) + return WaterCrawlProvider(api_key, credentials.get("config").get("base_url", None)).crawl_url(url, options) + elif provider == "jinareader": api_key = encrypter.decrypt_token( tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") @@ -116,6 +124,14 @@ class WebsiteService: time_consuming = abs(end_time - float(start_time)) crawl_status_data["time_consuming"] = f"{time_consuming:.2f}" redis_client.delete(website_crawl_time_cache_key) + elif provider == "watercrawl": + # decrypt api_key + api_key = encrypter.decrypt_token( + tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") + ) + crawl_status_data = WaterCrawlProvider( + api_key, credentials.get("config").get("base_url", None) + ).get_crawl_status(job_id) elif provider == "jinareader": api_key = encrypter.decrypt_token( tenant_id=current_user.current_tenant_id, token=credentials.get("config").get("api_key") @@ -180,6 +196,11 @@ class WebsiteService: if item.get("source_url") == url: return dict(item) return None + elif provider == "watercrawl": + api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key")) + return WaterCrawlProvider(api_key, credentials.get("config").get("base_url", None)).get_crawl_url_data( + job_id, url + ) elif provider == "jinareader": if not job_id: response = requests.get( @@ -223,5 +244,8 @@ class WebsiteService: params = {"onlyMainContent": only_main_content} result = firecrawl_app.scrape_url(url, params) return result + elif provider == "watercrawl": + api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=credentials.get("config").get("api_key")) + return WaterCrawlProvider(api_key, credentials.get("config").get("base_url", None)).scrape_url(url) else: raise ValueError("Invalid provider") diff --git a/api/services/workflow_run_service.py b/api/services/workflow_run_service.py index 0ddd18ea27..8b7213eefb 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.repository import RepositoryFactory +from core.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..63e3791147 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -11,6 +11,7 @@ from sqlalchemy.orm import Session from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager from core.model_runtime.utils.encoders import jsonable_encoder +from core.repository import RepositoryFactory from core.variables import Variable from core.workflow.entities.node_entities import NodeRunResult from core.workflow.errors import WorkflowNodeRunFailedError @@ -27,6 +28,7 @@ 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/add_document_to_index_task.py b/api/tasks/add_document_to_index_task.py index 3b8b0466b1..be88881efc 100644 --- a/api/tasks/add_document_to_index_task.py +++ b/api/tasks/add_document_to_index_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.index_processor.constant.index_type import IndexType from core.rag.index_processor.index_processor_factory import IndexProcessorFactory @@ -28,7 +27,9 @@ def add_document_to_index_task(dataset_document_id: str): dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == dataset_document_id).first() if not dataset_document: - raise NotFound("Document not found") + logging.info(click.style("Document not found: {}".format(dataset_document_id), fg="red")) + db.session.close() + return if dataset_document.indexing_status != "completed": return @@ -36,6 +37,10 @@ def add_document_to_index_task(dataset_document_id: str): indexing_cache_key = "document_{}_indexing".format(dataset_document.id) try: + dataset = dataset_document.dataset + if not dataset: + raise Exception(f"Document {dataset_document.id} dataset {dataset_document.dataset_id} doesn't exist.") + segments = ( db.session.query(DocumentSegment) .filter( @@ -76,11 +81,6 @@ def add_document_to_index_task(dataset_document_id: str): document.children = child_documents documents.append(document) - dataset = dataset_document.dataset - - if not dataset: - raise Exception("Document has no dataset") - index_type = dataset.doc_form index_processor = IndexProcessorFactory(index_type).init_index_processor() index_processor.load(dataset, documents) diff --git a/api/tasks/annotation/add_annotation_to_index_task.py b/api/tasks/annotation/add_annotation_to_index_task.py index aab21a4410..2a93c21abd 100644 --- a/api/tasks/annotation/add_annotation_to_index_task.py +++ b/api/tasks/annotation/add_annotation_to_index_task.py @@ -6,6 +6,7 @@ from celery import shared_task # type: ignore from core.rag.datasource.vdb.vector_factory import Vector from core.rag.models.document import Document +from extensions.ext_database import db from models.dataset import Dataset from services.dataset_service import DatasetCollectionBindingService @@ -55,3 +56,5 @@ def add_annotation_to_index_task( ) except Exception: logging.exception("Build index for annotation failed") + finally: + db.session.close() diff --git a/api/tasks/annotation/batch_import_annotations_task.py b/api/tasks/annotation/batch_import_annotations_task.py index 06162b02d6..6144a4fe3e 100644 --- a/api/tasks/annotation/batch_import_annotations_task.py +++ b/api/tasks/annotation/batch_import_annotations_task.py @@ -88,3 +88,5 @@ def batch_import_annotations_task(job_id: str, content_list: list[dict], app_id: indexing_error_msg_key = "app_annotation_batch_import_error_msg_{}".format(str(job_id)) redis_client.setex(indexing_error_msg_key, 600, str(e)) logging.exception("Build index for batch import annotations failed") + finally: + db.session.close() diff --git a/api/tasks/annotation/delete_annotation_index_task.py b/api/tasks/annotation/delete_annotation_index_task.py index a6a598ce4b..a6657e813a 100644 --- a/api/tasks/annotation/delete_annotation_index_task.py +++ b/api/tasks/annotation/delete_annotation_index_task.py @@ -5,6 +5,7 @@ import click from celery import shared_task # type: ignore from core.rag.datasource.vdb.vector_factory import Vector +from extensions.ext_database import db from models.dataset import Dataset from services.dataset_service import DatasetCollectionBindingService @@ -39,3 +40,5 @@ def delete_annotation_index_task(annotation_id: str, app_id: str, tenant_id: str ) except Exception as e: logging.exception("Annotation deleted index failed") + finally: + db.session.close() diff --git a/api/tasks/annotation/disable_annotation_reply_task.py b/api/tasks/annotation/disable_annotation_reply_task.py index 26bf1c7c9f..747fce5784 100644 --- a/api/tasks/annotation/disable_annotation_reply_task.py +++ b/api/tasks/annotation/disable_annotation_reply_task.py @@ -3,7 +3,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.datasource.vdb.vector_factory import Vector from extensions.ext_database import db @@ -23,14 +22,18 @@ def disable_annotation_reply_task(job_id: str, app_id: str, tenant_id: str): app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id, App.status == "normal").first() annotations_count = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app_id).count() if not app: - raise NotFound("App not found") + logging.info(click.style("App not found: {}".format(app_id), fg="red")) + db.session.close() + return app_annotation_setting = ( db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app_id).first() ) if not app_annotation_setting: - raise NotFound("App annotation setting not found") + logging.info(click.style("App annotation setting not found: {}".format(app_id), fg="red")) + db.session.close() + return disable_app_annotation_key = "disable_app_annotation_{}".format(str(app_id)) disable_app_annotation_job_key = "disable_app_annotation_job_{}".format(str(job_id)) @@ -46,7 +49,7 @@ def disable_annotation_reply_task(job_id: str, app_id: str, tenant_id: str): try: if annotations_count > 0: vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"]) - vector.delete_by_metadata_field("app_id", app_id) + vector.delete() except Exception: logging.exception("Delete annotation index failed when annotation deleted.") redis_client.setex(disable_app_annotation_job_key, 600, "completed") @@ -66,3 +69,4 @@ def disable_annotation_reply_task(job_id: str, app_id: str, tenant_id: str): redis_client.setex(disable_app_annotation_error_key, 600, str(e)) finally: redis_client.delete(disable_app_annotation_key) + db.session.close() diff --git a/api/tasks/annotation/enable_annotation_reply_task.py b/api/tasks/annotation/enable_annotation_reply_task.py index b42af0c7fa..c04f1be845 100644 --- a/api/tasks/annotation/enable_annotation_reply_task.py +++ b/api/tasks/annotation/enable_annotation_reply_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.datasource.vdb.vector_factory import Vector from core.rag.models.document import Document @@ -34,7 +33,9 @@ def enable_annotation_reply_task( app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id, App.status == "normal").first() if not app: - raise NotFound("App not found") + logging.info(click.style("App not found: {}".format(app_id), fg="red")) + db.session.close() + return annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app_id).all() enable_app_annotation_key = "enable_app_annotation_{}".format(str(app_id)) @@ -49,6 +50,27 @@ def enable_annotation_reply_task( db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app_id).first() ) if annotation_setting: + if dataset_collection_binding.id != annotation_setting.collection_binding_id: + old_dataset_collection_binding = ( + DatasetCollectionBindingService.get_dataset_collection_binding_by_id_and_type( + annotation_setting.collection_binding_id, "annotation" + ) + ) + if old_dataset_collection_binding and annotations: + old_dataset = Dataset( + id=app_id, + tenant_id=tenant_id, + indexing_technique="high_quality", + embedding_model_provider=old_dataset_collection_binding.provider_name, + embedding_model=old_dataset_collection_binding.model_name, + collection_binding_id=old_dataset_collection_binding.id, + ) + + old_vector = Vector(old_dataset, attributes=["doc_id", "annotation_id", "app_id"]) + try: + old_vector.delete() + except Exception as e: + logging.info(click.style("Delete annotation index error: {}".format(str(e)), fg="red")) annotation_setting.score_threshold = score_threshold annotation_setting.collection_binding_id = dataset_collection_binding.id annotation_setting.updated_user_id = user_id @@ -100,3 +122,4 @@ def enable_annotation_reply_task( db.session.rollback() finally: redis_client.delete(enable_app_annotation_key) + db.session.close() diff --git a/api/tasks/annotation/update_annotation_to_index_task.py b/api/tasks/annotation/update_annotation_to_index_task.py index 8c675feaa6..596ba829ad 100644 --- a/api/tasks/annotation/update_annotation_to_index_task.py +++ b/api/tasks/annotation/update_annotation_to_index_task.py @@ -6,6 +6,7 @@ from celery import shared_task # type: ignore from core.rag.datasource.vdb.vector_factory import Vector from core.rag.models.document import Document +from extensions.ext_database import db from models.dataset import Dataset from services.dataset_service import DatasetCollectionBindingService @@ -56,3 +57,5 @@ def update_annotation_to_index_task( ) except Exception: logging.exception("Build index for annotation failed") + finally: + db.session.close() diff --git a/api/tasks/batch_clean_document_task.py b/api/tasks/batch_clean_document_task.py index 8376ab1b03..97efc47b33 100644 --- a/api/tasks/batch_clean_document_task.py +++ b/api/tasks/batch_clean_document_task.py @@ -74,3 +74,5 @@ def batch_clean_document_task(document_ids: list[str], dataset_id: str, doc_form ) except Exception: logging.exception("Cleaned documents when documents deleted failed") + finally: + db.session.close() diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py index 648f92b0f8..f32bc4f187 100644 --- a/api/tasks/batch_create_segment_to_index_task.py +++ b/api/tasks/batch_create_segment_to_index_task.py @@ -127,3 +127,5 @@ def batch_create_segment_to_index_task( except Exception: logging.exception("Segments batch created index failed") redis_client.setex(indexing_cache_key, 600, "error") + finally: + db.session.close() diff --git a/api/tasks/clean_dataset_task.py b/api/tasks/clean_dataset_task.py index 4d77f1fb65..6bac718395 100644 --- a/api/tasks/clean_dataset_task.py +++ b/api/tasks/clean_dataset_task.py @@ -11,6 +11,8 @@ from extensions.ext_storage import storage from models.dataset import ( AppDatasetJoin, Dataset, + DatasetMetadata, + DatasetMetadataBinding, DatasetProcessRule, DatasetQuery, Document, @@ -86,7 +88,9 @@ def clean_dataset_task( db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete() db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete() db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete() - + # delete dataset metadata + db.session.query(DatasetMetadata).filter(DatasetMetadata.dataset_id == dataset_id).delete() + db.session.query(DatasetMetadataBinding).filter(DatasetMetadataBinding.dataset_id == dataset_id).delete() # delete files if documents: for document in documents: @@ -117,3 +121,5 @@ def clean_dataset_task( ) except Exception: logging.exception("Cleaned dataset when dataset deleted failed") + finally: + db.session.close() diff --git a/api/tasks/clean_document_task.py b/api/tasks/clean_document_task.py index 5a4d7a52b2..5824121e8f 100644 --- a/api/tasks/clean_document_task.py +++ b/api/tasks/clean_document_task.py @@ -9,7 +9,7 @@ from core.rag.index_processor.index_processor_factory import IndexProcessorFacto from core.tools.utils.rag_web_reader import get_image_upload_file_ids from extensions.ext_database import db from extensions.ext_storage import storage -from models.dataset import Dataset, DocumentSegment +from models.dataset import Dataset, DatasetMetadataBinding, DocumentSegment from models.model import UploadFile @@ -67,6 +67,12 @@ def clean_document_task(document_id: str, dataset_id: str, doc_form: str, file_i db.session.delete(file) db.session.commit() + # delete dataset metadata binding + db.session.query(DatasetMetadataBinding).filter( + DatasetMetadataBinding.dataset_id == dataset_id, + DatasetMetadataBinding.document_id == document_id, + ).delete() + end_at = time.perf_counter() logging.info( click.style( @@ -76,3 +82,5 @@ def clean_document_task(document_id: str, dataset_id: str, doc_form: str, file_i ) except Exception: logging.exception("Cleaned document when document deleted failed") + finally: + db.session.close() diff --git a/api/tasks/clean_notion_document_task.py b/api/tasks/clean_notion_document_task.py index 5a6eb00a62..1087a37761 100644 --- a/api/tasks/clean_notion_document_task.py +++ b/api/tasks/clean_notion_document_task.py @@ -53,3 +53,5 @@ def clean_notion_document_task(document_ids: list[str], dataset_id: str): ) except Exception: logging.exception("Cleaned document when import form notion document deleted failed") + finally: + db.session.close() diff --git a/api/tasks/create_segment_to_index_task.py b/api/tasks/create_segment_to_index_task.py index dfa053a43c..4500b2a44b 100644 --- a/api/tasks/create_segment_to_index_task.py +++ b/api/tasks/create_segment_to_index_task.py @@ -5,7 +5,6 @@ from typing import Optional import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from core.rag.models.document import Document @@ -27,7 +26,9 @@ def create_segment_to_index_task(segment_id: str, keywords: Optional[list[str]] segment = db.session.query(DocumentSegment).filter(DocumentSegment.id == segment_id).first() if not segment: - raise NotFound("Segment not found") + logging.info(click.style("Segment not found: {}".format(segment_id), fg="red")) + db.session.close() + return if segment.status != "waiting": return @@ -93,3 +94,4 @@ def create_segment_to_index_task(segment_id: str, keywords: Optional[list[str]] db.session.commit() finally: redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/deal_dataset_vector_index_task.py b/api/tasks/deal_dataset_vector_index_task.py index 5fd8647da8..075453e283 100644 --- a/api/tasks/deal_dataset_vector_index_task.py +++ b/api/tasks/deal_dataset_vector_index_task.py @@ -167,3 +167,5 @@ def deal_dataset_vector_index_task(dataset_id: str, action: str): ) except Exception: logging.exception("Deal dataset vector index failed") + finally: + db.session.close() diff --git a/api/tasks/delete_segment_from_index_task.py b/api/tasks/delete_segment_from_index_task.py index e4fbd5465e..a93babc310 100644 --- a/api/tasks/delete_segment_from_index_task.py +++ b/api/tasks/delete_segment_from_index_task.py @@ -41,3 +41,5 @@ def delete_segment_from_index_task(index_node_ids: list, dataset_id: str, docume logging.info(click.style("Segment deleted from index latency: {}".format(end_at - start_at), fg="green")) except Exception: logging.exception("delete segment from index failed") + finally: + db.session.close() diff --git a/api/tasks/disable_segment_from_index_task.py b/api/tasks/disable_segment_from_index_task.py index f30a1cc7ac..327eed4721 100644 --- a/api/tasks/disable_segment_from_index_task.py +++ b/api/tasks/disable_segment_from_index_task.py @@ -3,7 +3,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from extensions.ext_database import db @@ -24,10 +23,14 @@ def disable_segment_from_index_task(segment_id: str): segment = db.session.query(DocumentSegment).filter(DocumentSegment.id == segment_id).first() if not segment: - raise NotFound("Segment not found") + logging.info(click.style("Segment not found: {}".format(segment_id), fg="red")) + db.session.close() + return if segment.status != "completed": - raise NotFound("Segment is not completed , disable action is not allowed.") + logging.info(click.style("Segment is not completed, disable is not allowed: {}".format(segment_id), fg="red")) + db.session.close() + return indexing_cache_key = "segment_{}_indexing".format(segment.id) @@ -62,3 +65,4 @@ def disable_segment_from_index_task(segment_id: str): db.session.commit() finally: redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/disable_segments_from_index_task.py b/api/tasks/disable_segments_from_index_task.py index d43fb90ed3..8b77b290c8 100644 --- a/api/tasks/disable_segments_from_index_task.py +++ b/api/tasks/disable_segments_from_index_task.py @@ -26,15 +26,18 @@ def disable_segments_from_index_task(segment_ids: list, dataset_id: str, documen dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if not dataset: logging.info(click.style("Dataset {} not found, pass.".format(dataset_id), fg="cyan")) + db.session.close() return dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == document_id).first() if not dataset_document: logging.info(click.style("Document {} not found, pass.".format(document_id), fg="cyan")) + db.session.close() return if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != "completed": logging.info(click.style("Document {} status is invalid, pass.".format(document_id), fg="cyan")) + db.session.close() return # sync index processor index_processor = IndexProcessorFactory(dataset_document.doc_form).init_index_processor() @@ -50,6 +53,7 @@ def disable_segments_from_index_task(segment_ids: list, dataset_id: str, documen ) if not segments: + db.session.close() return try: @@ -76,3 +80,4 @@ def disable_segments_from_index_task(segment_ids: list, dataset_id: str, documen for segment in segments: indexing_cache_key = "segment_{}_indexing".format(segment.id) redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/document_indexing_sync_task.py b/api/tasks/document_indexing_sync_task.py index d686698b9a..2e68dcb0fb 100644 --- a/api/tasks/document_indexing_sync_task.py +++ b/api/tasks/document_indexing_sync_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.indexing_runner import DocumentIsPausedError, IndexingRunner from core.rag.extractor.notion_extractor import NotionExtractor @@ -29,7 +28,9 @@ def document_indexing_sync_task(dataset_id: str, document_id: str): document = db.session.query(Document).filter(Document.id == document_id, Document.dataset_id == dataset_id).first() if not document: - raise NotFound("Document not found") + logging.info(click.style("Document not found: {}".format(document_id), fg="red")) + db.session.close() + return data_source_info = document.data_source_info_dict if document.data_source_type == "notion_import": diff --git a/api/tasks/document_indexing_task.py b/api/tasks/document_indexing_task.py index a8e3a69f19..ee470d44e8 100644 --- a/api/tasks/document_indexing_task.py +++ b/api/tasks/document_indexing_task.py @@ -27,6 +27,7 @@ def document_indexing_task(dataset_id: str, document_ids: list): dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if not dataset: logging.info(click.style("Dataset is not found: {}".format(dataset_id), fg="yellow")) + db.session.close() return # check document limit features = FeatureService.get_features(dataset.tenant_id) @@ -35,6 +36,8 @@ def document_indexing_task(dataset_id: str, document_ids: list): vector_space = features.vector_space count = len(document_ids) batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT) + if features.billing.subscription.plan == "sandbox" and count > 1: + raise ValueError("Your current plan does not support batch upload, please upgrade your plan.") if count > batch_upload_limit: raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.") if 0 < vector_space.limit <= vector_space.size: @@ -53,6 +56,7 @@ def document_indexing_task(dataset_id: str, document_ids: list): document.stopped_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.add(document) db.session.commit() + db.session.close() return for document_id in document_ids: @@ -78,3 +82,5 @@ def document_indexing_task(dataset_id: str, document_ids: list): logging.info(click.style(str(ex), fg="yellow")) except Exception: pass + finally: + db.session.close() diff --git a/api/tasks/document_indexing_update_task.py b/api/tasks/document_indexing_update_task.py index d8f14830c9..b9ed11a8da 100644 --- a/api/tasks/document_indexing_update_task.py +++ b/api/tasks/document_indexing_update_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.indexing_runner import DocumentIsPausedError, IndexingRunner from core.rag.index_processor.index_processor_factory import IndexProcessorFactory @@ -27,7 +26,9 @@ def document_indexing_update_task(dataset_id: str, document_id: str): document = db.session.query(Document).filter(Document.id == document_id, Document.dataset_id == dataset_id).first() if not document: - raise NotFound("Document not found") + logging.info(click.style("Document not found: {}".format(document_id), fg="red")) + db.session.close() + return document.indexing_status = "parsing" document.processing_started_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) @@ -73,3 +74,5 @@ def document_indexing_update_task(dataset_id: str, document_id: str): logging.info(click.style(str(ex), fg="yellow")) except Exception: pass + finally: + db.session.close() diff --git a/api/tasks/duplicate_document_indexing_task.py b/api/tasks/duplicate_document_indexing_task.py index b0cd486476..100fc257ce 100644 --- a/api/tasks/duplicate_document_indexing_task.py +++ b/api/tasks/duplicate_document_indexing_task.py @@ -27,7 +27,9 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list): dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if dataset is None: - raise ValueError("Dataset not found") + logging.info(click.style("Dataset not found: {}".format(dataset_id), fg="red")) + db.session.close() + return # check document limit features = FeatureService.get_features(dataset.tenant_id) @@ -35,6 +37,8 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list): if features.billing.enabled: vector_space = features.vector_space count = len(document_ids) + if features.billing.subscription.plan == "sandbox" and count > 1: + raise ValueError("Your current plan does not support batch upload, please upgrade your plan.") batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT) if count > batch_upload_limit: raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.") @@ -55,6 +59,8 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list): db.session.add(document) db.session.commit() return + finally: + db.session.close() for document_id in document_ids: logging.info(click.style("Start process document: {}".format(document_id), fg="green")) @@ -94,3 +100,5 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list): logging.info(click.style(str(ex), fg="yellow")) except Exception: pass + finally: + db.session.close() diff --git a/api/tasks/enable_segment_to_index_task.py b/api/tasks/enable_segment_to_index_task.py index 0601e594fe..21f08f40a7 100644 --- a/api/tasks/enable_segment_to_index_task.py +++ b/api/tasks/enable_segment_to_index_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.index_processor.constant.index_type import IndexType from core.rag.index_processor.index_processor_factory import IndexProcessorFactory @@ -27,10 +26,14 @@ def enable_segment_to_index_task(segment_id: str): segment = db.session.query(DocumentSegment).filter(DocumentSegment.id == segment_id).first() if not segment: - raise NotFound("Segment not found") + logging.info(click.style("Segment not found: {}".format(segment_id), fg="red")) + db.session.close() + return if segment.status != "completed": - raise NotFound("Segment is not completed, enable action is not allowed.") + logging.info(click.style("Segment is not completed, enable is not allowed: {}".format(segment_id), fg="red")) + db.session.close() + return indexing_cache_key = "segment_{}_indexing".format(segment.id) @@ -94,3 +97,4 @@ def enable_segment_to_index_task(segment_id: str): db.session.commit() finally: redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/enable_segments_to_index_task.py b/api/tasks/enable_segments_to_index_task.py index 5129dbd24e..625a3b582e 100644 --- a/api/tasks/enable_segments_to_index_task.py +++ b/api/tasks/enable_segments_to_index_task.py @@ -34,9 +34,11 @@ def enable_segments_to_index_task(segment_ids: list, dataset_id: str, document_i if not dataset_document: logging.info(click.style("Document {} not found, pass.".format(document_id), fg="cyan")) + db.session.close() return if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != "completed": logging.info(click.style("Document {} status is invalid, pass.".format(document_id), fg="cyan")) + db.session.close() return # sync index processor index_processor = IndexProcessorFactory(dataset_document.doc_form).init_index_processor() @@ -51,6 +53,8 @@ def enable_segments_to_index_task(segment_ids: list, dataset_id: str, document_i .all() ) if not segments: + logging.info(click.style("Segments not found: {}".format(segment_ids), fg="cyan")) + db.session.close() return try: @@ -108,3 +112,4 @@ def enable_segments_to_index_task(segment_ids: list, dataset_id: str, document_i for segment in segments: indexing_cache_key = "segment_{}_indexing".format(segment.id) redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/recover_document_indexing_task.py b/api/tasks/recover_document_indexing_task.py index b603d689ba..eada2ff9db 100644 --- a/api/tasks/recover_document_indexing_task.py +++ b/api/tasks/recover_document_indexing_task.py @@ -3,7 +3,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.indexing_runner import DocumentIsPausedError, IndexingRunner from extensions.ext_database import db @@ -25,7 +24,9 @@ def recover_document_indexing_task(dataset_id: str, document_id: str): document = db.session.query(Document).filter(Document.id == document_id, Document.dataset_id == dataset_id).first() if not document: - raise NotFound("Document not found") + logging.info(click.style("Document not found: {}".format(document_id), fg="red")) + db.session.close() + return try: indexing_runner = IndexingRunner() @@ -43,3 +44,5 @@ def recover_document_indexing_task(dataset_id: str, document_id: str): logging.info(click.style(str(ex), fg="yellow")) except Exception: pass + finally: + db.session.close() diff --git a/api/tasks/remove_app_and_related_data_task.py b/api/tasks/remove_app_and_related_data_task.py index c3910e2be3..cd8981abf6 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.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/tasks/remove_document_from_index_task.py b/api/tasks/remove_document_from_index_task.py index d0c4382f58..0e2960788d 100644 --- a/api/tasks/remove_document_from_index_task.py +++ b/api/tasks/remove_document_from_index_task.py @@ -4,7 +4,6 @@ import time import click from celery import shared_task # type: ignore -from werkzeug.exceptions import NotFound from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from extensions.ext_database import db @@ -25,9 +24,13 @@ def remove_document_from_index_task(document_id: str): document = db.session.query(Document).filter(Document.id == document_id).first() if not document: - raise NotFound("Document not found") + logging.info(click.style("Document not found: {}".format(document_id), fg="red")) + db.session.close() + return if document.indexing_status != "completed": + logging.info(click.style("Document is not completed, remove is not allowed: {}".format(document_id), fg="red")) + db.session.close() return indexing_cache_key = "document_{}_indexing".format(document.id) @@ -71,3 +74,4 @@ def remove_document_from_index_task(document_id: str): db.session.commit() finally: redis_client.delete(indexing_cache_key) + db.session.close() diff --git a/api/tasks/retry_document_indexing_task.py b/api/tasks/retry_document_indexing_task.py index 83ddbcfcc5..7e50eb9f8d 100644 --- a/api/tasks/retry_document_indexing_task.py +++ b/api/tasks/retry_document_indexing_task.py @@ -27,7 +27,9 @@ def retry_document_indexing_task(dataset_id: str, document_ids: list[str]): dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if not dataset: - raise ValueError("Dataset not found") + logging.info(click.style("Dataset not found: {}".format(dataset_id), fg="red")) + db.session.close() + return for document_id in document_ids: retry_indexing_cache_key = "document_{}_is_retried".format(document_id) @@ -52,6 +54,7 @@ def retry_document_indexing_task(dataset_id: str, document_ids: list[str]): db.session.add(document) db.session.commit() redis_client.delete(retry_indexing_cache_key) + db.session.close() return logging.info(click.style("Start retry document: {}".format(document_id), fg="green")) @@ -60,6 +63,7 @@ def retry_document_indexing_task(dataset_id: str, document_ids: list[str]): ) if not document: logging.info(click.style("Document not found: {}".format(document_id), fg="yellow")) + db.session.close() return try: # clean old data @@ -92,5 +96,7 @@ def retry_document_indexing_task(dataset_id: str, document_ids: list[str]): logging.info(click.style(str(ex), fg="yellow")) redis_client.delete(retry_indexing_cache_key) pass + finally: + db.session.close() end_at = time.perf_counter() logging.info(click.style("Retry dataset: {} latency: {}".format(dataset_id, end_at - start_at), fg="green")) 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/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/__mock/tcvectordb.py b/api/tests/integration_tests/vdb/__mock/tcvectordb.py index 4c16f27732..ae5f9761b4 100644 --- a/api/tests/integration_tests/vdb/__mock/tcvectordb.py +++ b/api/tests/integration_tests/vdb/__mock/tcvectordb.py @@ -5,10 +5,11 @@ import pytest from _pytest.monkeypatch import MonkeyPatch from requests.adapters import HTTPAdapter from tcvectordb import RPCVectorDBClient # type: ignore +from tcvectordb.model import enum from tcvectordb.model.collection import FilterIndexConfig -from tcvectordb.model.document import Document, Filter # type: ignore +from tcvectordb.model.document import AnnSearch, Document, Filter, KeywordSearch, Rerank # type: ignore from tcvectordb.model.enum import ReadConsistency # type: ignore -from tcvectordb.model.index import Index, IndexField # type: ignore +from tcvectordb.model.index import FilterIndex, HNSWParams, Index, IndexField, VectorIndex # type: ignore from tcvectordb.rpc.model.collection import RPCCollection from tcvectordb.rpc.model.database import RPCDatabase from xinference_client.types import Embedding # type: ignore @@ -40,6 +41,30 @@ class MockTcvectordbClass: def exists_collection(self, database_name: str, collection_name: str) -> bool: return True + def describe_collection( + self, database_name: str, collection_name: str, timeout: Optional[float] = None + ) -> RPCCollection: + index = Index( + FilterIndex("id", enum.FieldType.String, enum.IndexType.PRIMARY_KEY), + VectorIndex( + "vector", + 128, + enum.IndexType.HNSW, + enum.MetricType.IP, + HNSWParams(m=16, efconstruction=200), + ), + FilterIndex("text", enum.FieldType.String, enum.IndexType.FILTER), + FilterIndex("metadata", enum.FieldType.String, enum.IndexType.FILTER), + ) + return RPCCollection( + RPCDatabase( + name=database_name, + read_consistency=self._read_consistency, + ), + collection_name, + index=index, + ) + def create_collection( self, database_name: str, @@ -97,6 +122,23 @@ class MockTcvectordbClass: ) -> list[list[dict]]: return [[{"metadata": {"doc_id": "foo1"}, "text": "text", "doc_id": "foo1", "score": 0.1}]] + def collection_hybrid_search( + self, + database_name: str, + collection_name: str, + ann: Optional[Union[list[AnnSearch], AnnSearch]] = None, + match: Optional[Union[list[KeywordSearch], KeywordSearch]] = None, + filter: Union[Filter, str] = None, + rerank: Optional[Rerank] = None, + retrieve_vector: Optional[bool] = None, + output_fields: Optional[list[str]] = None, + limit: Optional[int] = None, + timeout: Optional[float] = None, + return_pd_object=False, + **kwargs, + ) -> list[list[dict]]: + return [[{"metadata": {"doc_id": "foo1"}, "text": "text", "doc_id": "foo1", "score": 0.1}]] + def collection_query( self, database_name: str, @@ -137,8 +179,10 @@ def setup_tcvectordb_mock(request, monkeypatch: MonkeyPatch): ) monkeypatch.setattr(RPCVectorDBClient, "exists_collection", MockTcvectordbClass.exists_collection) monkeypatch.setattr(RPCVectorDBClient, "create_collection", MockTcvectordbClass.create_collection) + monkeypatch.setattr(RPCVectorDBClient, "describe_collection", MockTcvectordbClass.describe_collection) monkeypatch.setattr(RPCVectorDBClient, "upsert", MockTcvectordbClass.collection_upsert) monkeypatch.setattr(RPCVectorDBClient, "search", MockTcvectordbClass.collection_search) + monkeypatch.setattr(RPCVectorDBClient, "hybrid_search", MockTcvectordbClass.collection_hybrid_search) monkeypatch.setattr(RPCVectorDBClient, "query", MockTcvectordbClass.collection_query) monkeypatch.setattr(RPCVectorDBClient, "delete", MockTcvectordbClass.collection_delete) monkeypatch.setattr(RPCVectorDBClient, "drop_collection", MockTcvectordbClass.drop_collection) 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/tcvectordb/test_tencent.py b/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py index 1b9466e27f..9227bbdcd6 100644 --- a/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py +++ b/api/tests/integration_tests/vdb/tcvectordb/test_tencent.py @@ -21,6 +21,7 @@ class TencentVectorTest(AbstractVectorTest): database="dify", shard=1, replicas=2, + enable_hybrid_search=True, ), ) @@ -30,7 +31,7 @@ class TencentVectorTest(AbstractVectorTest): 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) == 0 + assert len(hits_by_full_text) >= 0 def test_tencent_vector(setup_mock_redis, setup_tcvectordb_mock): 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/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py index ca055f5cc5..5c6bb82024 100644 --- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py +++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py @@ -5,6 +5,7 @@ from typing import Optional from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom +from core.model_runtime.entities import AssistantPromptMessage from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph @@ -311,6 +312,46 @@ def test_extract_json_response(): assert result["location"] == "kawaii" +def test_extract_json_from_tool_call(): + """ + Test extract json response. + """ + + node = init_parameter_extractor_node( + config={ + "id": "llm", + "data": { + "title": "123", + "type": "parameter-extractor", + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo-instruct", + "mode": "completion", + "completion_params": {}, + }, + "query": ["sys", "query"], + "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], + "reasoning_mode": "prompt", + "instruction": "{{#sys.query#}}", + "memory": None, + }, + }, + ) + + result = node._extract_json_from_tool_call( + AssistantPromptMessage.ToolCall( + id="llm", + type="parameter-extractor", + function=AssistantPromptMessage.ToolCall.ToolCallFunction( + name="foo", arguments="""{"location":"kawaii"}{"location": 1}""" + ), + ) + ) + + assert result is not None + assert result["location"] == "kawaii" + + def test_chat_parameter_extractor_with_memory(setup_model_mock): """ Test chat parameter extractor with memory. 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/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/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..36847f8a13 --- /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.repository.workflow_node_execution_repository import OrderConfig +from models.workflow import WorkflowNodeExecution +from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository + + +@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("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("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("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("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"], + 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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_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 82f96b8e8f..53d7703fce 100755 --- a/dev/reformat +++ b/dev/reformat @@ -2,17 +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/mypy-check 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 0da77f613f..0b80dccb37 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -75,7 +75,7 @@ SECRET_KEY=sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U # Password for admin user initialization. # If left unset, admin user will not be prompted for a password -# when creating the initial admin account. +# when creating the initial admin account. # The length of the password cannot exceed 30 characters. INIT_PASSWORD= @@ -174,6 +174,12 @@ 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 @@ -404,6 +410,7 @@ 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: @@ -515,6 +522,7 @@ TENCENT_VECTOR_DB_USERNAME=dify TENCENT_VECTOR_DB_DATABASE=dify TENCENT_VECTOR_DB_SHARD=1 TENCENT_VECTOR_DB_REPLICAS=2 +TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false # ElasticSearch configuration, only available when VECTOR_STORE is `elasticsearch` ELASTICSEARCH_HOST=0.0.0.0 @@ -566,6 +574,11 @@ 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 @@ -604,17 +617,22 @@ SCARF_NO_ANALYTICS=true # ------------------------------ # The maximum number of tokens allowed for prompt generation. -# This setting controls the upper limit of tokens that can be used by the LLM +# This setting controls the upper limit of tokens that can be used by the LLM # when generating a prompt in the prompt generation tool. # Default: 512 tokens. PROMPT_GENERATION_MAX_TOKENS=512 # The maximum number of tokens allowed for code generation. -# This setting controls the upper limit of tokens that can be used by the LLM +# This setting controls the upper limit of tokens that can be used by the LLM # when generating code in the code generation tool. # Default: 1024 tokens. CODE_GENERATION_MAX_TOKENS=1024 +# Enable or disable plugin based token counting. If disabled, token counting will return 0. +# This can improve performance by skipping token counting operations. +# Default: false (disabled). +PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false + # ------------------------------ # Multi-modal Configuration # ------------------------------ @@ -731,6 +749,12 @@ 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 @@ -1004,3 +1028,46 @@ PLUGIN_PYTHON_ENV_INIT_TIMEOUT=120 PLUGIN_MAX_EXECUTION_TIMEOUT=600 # PIP_MIRROR_URL=https://pypi.tuna.tsinghua.edu.cn/simple PIP_MIRROR_URL= + +# https://github.com/langgenius/dify-plugin-daemon/blob/main/.env.example +# Plugin storage type, local aws_s3 tencent_cos azure_blob +PLUGIN_STORAGE_TYPE=local +PLUGIN_STORAGE_LOCAL_ROOT=/app/storage +PLUGIN_WORKING_PATH=/app/storage/cwd +PLUGIN_INSTALLED_PATH=plugin +PLUGIN_PACKAGE_CACHE_PATH=plugin_packages +PLUGIN_MEDIA_CACHE_PATH=assets +# Plugin oss bucket +PLUGIN_STORAGE_OSS_BUCKET= +# Plugin oss s3 credentials +PLUGIN_S3_USE_AWS_MANAGED_IAM=false +PLUGIN_S3_ENDPOINT= +PLUGIN_S3_USE_PATH_STYLE=false +PLUGIN_AWS_ACCESS_KEY= +PLUGIN_AWS_SECRET_KEY= +PLUGIN_AWS_REGION= +# Plugin oss azure blob +PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME= +PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING= +# Plugin oss tencent cos +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 20d5cce913..38b11a677f 100644 --- a/docker/README.md +++ b/docker/README.md @@ -28,6 +28,9 @@ 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 @@ -36,7 +39,8 @@ Welcome to the new `docker` directory for deploying Dify using Docker Compose. T - Navigate to the `docker` directory. - Ensure the `middleware.env` file is created by running `cp middleware.env.example middleware.env` (refer to the `middleware.env.example` file). 2. **Running Middleware Services**: - - Execute `docker-compose -f docker-compose.middleware.yaml up --env-file middleware.env -d` to start the middleware services. + - Navigate to the `docker` directory. + - Execute `docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d` to start the middleware services. (Change the profile to other vector database if you are not using weaviate) ### Migration for Existing Users @@ -88,7 +92,11 @@ 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/docker-compose-template.yaml b/docker/docker-compose-template.yaml index e8ed382917..9da06df2b0 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:1.1.3 + image: langgenius/dify-api:1.3.0 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:1.1.3 + image: langgenius/dify-api:1.3.0 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:1.1.3 + image: langgenius/dify-web:1.3.0 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:0.0.6-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always environment: # Use the shared environment variables. @@ -153,12 +161,30 @@ services: PYTHON_ENV_INIT_TIMEOUT: ${PLUGIN_PYTHON_ENV_INIT_TIMEOUT:-120} PLUGIN_MAX_EXECUTION_TIMEOUT: ${PLUGIN_MAX_EXECUTION_TIMEOUT:-600} PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} + PLUGIN_STORAGE_TYPE: ${PLUGIN_STORAGE_TYPE:-local} + PLUGIN_STORAGE_LOCAL_ROOT: ${PLUGIN_STORAGE_LOCAL_ROOT:-/app/storage} + PLUGIN_INSTALLED_PATH: ${PLUGIN_INSTALLED_PATH:-plugin} + PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} + PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} + PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} + S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} + S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} + S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} + AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_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:-} + TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} + TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} + TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} ports: - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" volumes: - ./volumes/plugin_daemon:/app/storage depends_on: - - db + db: + condition: service_healthy # ssrf_proxy server # for more information, please refer to @@ -527,7 +553,7 @@ 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 b4f772cc82..01c7573a95 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -29,6 +29,8 @@ services: redis: image: redis:6-alpine restart: always + env_file: + - ./middleware.env environment: REDISCLI_AUTH: ${REDIS_PASSWORD:-difyai123456} volumes: @@ -45,6 +47,8 @@ services: sandbox: image: langgenius/dify-sandbox:0.2.11 restart: always + env_file: + - ./middleware.env environment: # The DifySandbox configurations # Make sure you are changing this key for your deployment with a strong key. @@ -56,6 +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 @@ -66,8 +71,10 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.6-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always + env_file: + - ./middleware.env environment: # Use the shared environment variables. DB_HOST: ${DB_HOST:-db} @@ -91,6 +98,23 @@ services: PYTHON_ENV_INIT_TIMEOUT: ${PLUGIN_PYTHON_ENV_INIT_TIMEOUT:-120} PLUGIN_MAX_EXECUTION_TIMEOUT: ${PLUGIN_MAX_EXECUTION_TIMEOUT:-600} PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} + PLUGIN_STORAGE_TYPE: ${PLUGIN_STORAGE_TYPE:-local} + PLUGIN_STORAGE_LOCAL_ROOT: ${PLUGIN_STORAGE_LOCAL_ROOT:-/app/storage} + PLUGIN_INSTALLED_PATH: ${PLUGIN_INSTALLED_PATH:-plugin} + PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} + PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} + PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} + S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} + S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} + S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} + AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_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:-} + TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} + TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} + TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} ports: - "${EXPOSE_PLUGIN_DAEMON_PORT:-5002}:${PLUGIN_DAEMON_PORT:-5002}" - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" @@ -107,6 +131,8 @@ services: - ./ssrf_proxy/squid.conf.template:/etc/squid/squid.conf.template - ./ssrf_proxy/docker-entrypoint.sh:/docker-entrypoint-mount.sh entrypoint: [ "sh", "-c", "cp /docker-entrypoint-mount.sh /docker-entrypoint.sh && sed -i 's/\r$$//' /docker-entrypoint.sh && chmod +x /docker-entrypoint.sh && /docker-entrypoint.sh" ] + env_file: + - ./middleware.env environment: # pls clearly modify the squid env vars to fit your network environment. HTTP_PORT: ${SSRF_HTTP_PORT:-3128} diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index edd2b8352f..ea9332bf2e 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} @@ -139,6 +142,7 @@ x-shared-env: &shared-api-worker-env 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} @@ -223,6 +227,7 @@ x-shared-env: &shared-api-worker-env TENCENT_VECTOR_DB_DATABASE: ${TENCENT_VECTOR_DB_DATABASE:-dify} TENCENT_VECTOR_DB_SHARD: ${TENCENT_VECTOR_DB_SHARD:-1} TENCENT_VECTOR_DB_REPLICAS: ${TENCENT_VECTOR_DB_REPLICAS:-2} + TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH: ${TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH:-false} ELASTICSEARCH_HOST: ${ELASTICSEARCH_HOST:-0.0.0.0} ELASTICSEARCH_PORT: ${ELASTICSEARCH_PORT:-9200} ELASTICSEARCH_USERNAME: ${ELASTICSEARCH_USERNAME:-elastic} @@ -261,6 +266,9 @@ 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} @@ -275,6 +283,7 @@ x-shared-env: &shared-api-worker-env SCARF_NO_ANALYTICS: ${SCARF_NO_ANALYTICS:-true} PROMPT_GENERATION_MAX_TOKENS: ${PROMPT_GENERATION_MAX_TOKENS:-512} CODE_GENERATION_MAX_TOKENS: ${CODE_GENERATION_MAX_TOKENS:-1024} + PLUGIN_BASED_TOKEN_COUNTING_ENABLED: ${PLUGIN_BASED_TOKEN_COUNTING_ENABLED:-false} MULTIMODAL_SEND_FORMAT: ${MULTIMODAL_SEND_FORMAT:-base64} UPLOAD_IMAGE_FILE_SIZE_LIMIT: ${UPLOAD_IMAGE_FILE_SIZE_LIMIT:-10} UPLOAD_VIDEO_FILE_SIZE_LIMIT: ${UPLOAD_VIDEO_FILE_SIZE_LIMIT:-100} @@ -321,6 +330,7 @@ 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} @@ -435,11 +445,41 @@ x-shared-env: &shared-api-worker-env PLUGIN_PYTHON_ENV_INIT_TIMEOUT: ${PLUGIN_PYTHON_ENV_INIT_TIMEOUT:-120} PLUGIN_MAX_EXECUTION_TIMEOUT: ${PLUGIN_MAX_EXECUTION_TIMEOUT:-600} PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} + PLUGIN_STORAGE_TYPE: ${PLUGIN_STORAGE_TYPE:-local} + PLUGIN_STORAGE_LOCAL_ROOT: ${PLUGIN_STORAGE_LOCAL_ROOT:-/app/storage} + PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd} + PLUGIN_INSTALLED_PATH: ${PLUGIN_INSTALLED_PATH:-plugin} + PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} + PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} + PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} + PLUGIN_S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} + PLUGIN_S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} + PLUGIN_S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} + PLUGIN_AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_KEY:-} + PLUGIN_AWS_SECRET_KEY: ${PLUGIN_AWS_SECRET_KEY:-} + PLUGIN_AWS_REGION: ${PLUGIN_AWS_REGION:-} + PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME: ${PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME:-} + PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING: ${PLUGIN_AZURE_BLOB_STORAGE_CONNECTION_STRING:-} + 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:1.1.3 + image: langgenius/dify-api:1.3.0 restart: always environment: # Use the shared environment variables. @@ -454,8 +494,10 @@ 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 @@ -466,7 +508,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:1.1.3 + image: langgenius/dify-api:1.3.0 restart: always environment: # Use the shared environment variables. @@ -479,8 +521,10 @@ 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 @@ -490,7 +534,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:1.1.3 + image: langgenius/dify-web:1.3.0 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -499,6 +543,7 @@ 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:-} @@ -508,7 +553,9 @@ 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: ${ENABLE_WEBSITE_WATERCRAWL:-true} # The postgres database. db: image: postgres:15-alpine @@ -527,10 +574,10 @@ services: volumes: - ./volumes/db/data:/var/lib/postgresql/data healthcheck: - test: [ 'CMD', 'pg_isready' ] + test: [ 'CMD', 'pg_isready', '-h', 'db', '-U', '${PGUSER:-postgres}', '-d', '${POSTGRES_DB:-dify}' ] interval: 1s timeout: 3s - retries: 30 + retries: 60 # The redis cache. redis: @@ -561,6 +608,7 @@ 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 @@ -571,7 +619,7 @@ services: # plugin daemon plugin_daemon: - image: langgenius/dify-plugin-daemon:0.0.6-local + image: langgenius/dify-plugin-daemon:0.0.9-local restart: always environment: # Use the shared environment variables. @@ -590,12 +638,30 @@ services: PYTHON_ENV_INIT_TIMEOUT: ${PLUGIN_PYTHON_ENV_INIT_TIMEOUT:-120} PLUGIN_MAX_EXECUTION_TIMEOUT: ${PLUGIN_MAX_EXECUTION_TIMEOUT:-600} PIP_MIRROR_URL: ${PIP_MIRROR_URL:-} + PLUGIN_STORAGE_TYPE: ${PLUGIN_STORAGE_TYPE:-local} + PLUGIN_STORAGE_LOCAL_ROOT: ${PLUGIN_STORAGE_LOCAL_ROOT:-/app/storage} + PLUGIN_INSTALLED_PATH: ${PLUGIN_INSTALLED_PATH:-plugin} + PLUGIN_PACKAGE_CACHE_PATH: ${PLUGIN_PACKAGE_CACHE_PATH:-plugin_packages} + PLUGIN_MEDIA_CACHE_PATH: ${PLUGIN_MEDIA_CACHE_PATH:-assets} + PLUGIN_STORAGE_OSS_BUCKET: ${PLUGIN_STORAGE_OSS_BUCKET:-} + S3_USE_AWS_MANAGED_IAM: ${PLUGIN_S3_USE_AWS_MANAGED_IAM:-false} + S3_ENDPOINT: ${PLUGIN_S3_ENDPOINT:-} + S3_USE_PATH_STYLE: ${PLUGIN_S3_USE_PATH_STYLE:-false} + AWS_ACCESS_KEY: ${PLUGIN_AWS_ACCESS_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:-} + TENCENT_COS_SECRET_KEY: ${PLUGIN_TENCENT_COS_SECRET_KEY:-} + TENCENT_COS_SECRET_ID: ${PLUGIN_TENCENT_COS_SECRET_ID:-} + TENCENT_COS_REGION: ${PLUGIN_TENCENT_COS_REGION:-} ports: - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" volumes: - ./volumes/plugin_daemon:/app/storage depends_on: - - db + db: + condition: service_healthy # ssrf_proxy server # for more information, please refer to @@ -964,7 +1030,7 @@ 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 d01f9abe53..1a4484a9b5 100644 --- a/docker/middleware.env.example +++ b/docker/middleware.env.example @@ -119,4 +119,29 @@ FORCE_VERIFYING_SIGNATURE=true PLUGIN_PYTHON_ENV_INIT_TIMEOUT=120 PLUGIN_MAX_EXECUTION_TIMEOUT=600 # PIP_MIRROR_URL=https://pypi.tuna.tsinghua.edu.cn/simple -PIP_MIRROR_URL= \ No newline at end of file +PIP_MIRROR_URL= + +# https://github.com/langgenius/dify-plugin-daemon/blob/main/.env.example +# Plugin storage type, local aws_s3 tencent_cos azure_blob +PLUGIN_STORAGE_TYPE=local +PLUGIN_STORAGE_LOCAL_ROOT=/app/storage +PLUGIN_WORKING_PATH=/app/storage/cwd +PLUGIN_INSTALLED_PATH=plugin +PLUGIN_PACKAGE_CACHE_PATH=plugin_packages +PLUGIN_MEDIA_CACHE_PATH=assets +# Plugin oss bucket +PLUGIN_STORAGE_OSS_BUCKET= +# Plugin oss s3 credentials +PLUGIN_S3_USE_AWS_MANAGED_IAM=false +PLUGIN_S3_ENDPOINT= +PLUGIN_S3_USE_PATH_STYLE=false +PLUGIN_AWS_ACCESS_KEY= +PLUGIN_AWS_SECRET_KEY= +PLUGIN_AWS_REGION= +# Plugin oss azure blob +PLUGIN_AZURE_BLOB_STORAGE_CONTAINER_NAME= +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 diff --git a/images/wechat.png b/images/wechat.png deleted file mode 100644 index 3cc6077edc..0000000000 Binary files a/images/wechat.png and /dev/null differ 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..812980d834 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); 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 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[], + "aliases": [], + "minimum-stability": "stable", + "stability-flags": [], + "prefer-stable": false, + "prefer-lowest": false, + "platform": [], + "platform-dev": [], + "plugin-api-version": "2.6.0" +} diff --git a/sdks/php-client/dify-client.php b/sdks/php-client/dify-client.php index ccd61f091a..acb862093a 100644 --- a/sdks/php-client/dify-client.php +++ b/sdks/php-client/dify-client.php @@ -1,7 +1,5 @@ api_key = $api_key; - $this->base_url = $base_url ?? "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, $files) { @@ -132,7 +123,7 @@ class ChatClient extends DifyClient { public function get_suggestions($message_id, $user) { $params = [ 'user' => $user - ] + ]; return $this->send_request('GET', "messages/{$message_id}/suggested", null, $params); } @@ -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); } } 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 d7680d74a5..a9afbcc640 100644 --- a/web/.vscode/extensions.json +++ b/web/.vscode/extensions.json @@ -1,6 +1,7 @@ { "recommendations": [ "bradlc.vscode-tailwindcss", - "firsttris.vscode-jest-runner" + "firsttris.vscode-jest-runner", + "kisstkondoros.vscode-codemetrics" ] -} +} \ No newline at end of file diff --git a/web/Dockerfile b/web/Dockerfile index 51c88e7fc9..dfc5ba8b46 100644 --- a/web/Dockerfile +++ b/web/Dockerfile @@ -1,12 +1,12 @@ # base image -FROM node:20-alpine3.20 AS base +FROM node:22-alpine3.21 AS base LABEL maintainer="takatost@gmail.com" # if you located in China, you can use aliyun mirror to speed up # RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories RUN apk add --no-cache tzdata -RUN npm install -g pnpm@9.12.2 +RUN npm install -g pnpm@10.8.0 ENV PNPM_HOME="/pnpm" ENV PATH="$PNPM_HOME:$PATH" @@ -42,8 +42,8 @@ ENV EDITION=SELF_HOSTED ENV DEPLOY_ENV=PRODUCTION ENV CONSOLE_API_URL=http://127.0.0.1:5001 ENV APP_API_URL=http://127.0.0.1:5001 -ENV MARKETPLACE_API_URL=http://127.0.0.1:5001 -ENV MARKETPLACE_URL=http://127.0.0.1:5001 +ENV MARKETPLACE_API_URL=https://marketplace.dify.ai +ENV MARKETPLACE_URL=https://marketplace.dify.ai ENV PORT=3000 ENV NEXT_TELEMETRY_DISABLED=1 ENV PM2_INSTANCES=2 diff --git a/web/README.md b/web/README.md index 900924f348..3d9fd2de87 100644 --- a/web/README.md +++ b/web/README.md @@ -6,7 +6,9 @@ This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next ### Run by source code -To start the web frontend service, you will need [Node.js v18.x (LTS)](https://nodejs.org/en) and [pnpm version 9.12.2](https://pnpm.io). +Before starting the web frontend service, please make sure the following environment is ready. +- [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..eb23da2ae0 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 @@ -124,7 +124,7 @@ const ConfigPopup: FC = ({ ) const configuredProviderPanel = () => { - const configuredPanels: any[] = [] + const configuredPanels: JSX.Element[] = [] if (langSmithConfig) configuredPanels.push(langSmithPanel) @@ -139,7 +139,7 @@ const ConfigPopup: FC = ({ } const moreProviderPanel = () => { - const notConfiguredPanels: any[] = [] + const notConfiguredPanels: JSX.Element[] = [] if (!langSmithConfig) notConfiguredPanels.push(langSmithPanel) 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)/apps/Apps.tsx b/web/app/(commonLayout)/apps/Apps.tsx index be5031ab43..1375f4dfd6 100644 --- a/web/app/(commonLayout)/apps/Apps.tsx +++ b/web/app/(commonLayout)/apps/Apps.tsx @@ -1,7 +1,9 @@ 'use client' import { useCallback, useEffect, useRef, useState } from 'react' -import { useRouter } from 'next/navigation' +import { + useRouter, +} from 'next/navigation' import useSWRInfinite from 'swr/infinite' import { useTranslation } from 'react-i18next' import { useDebounceFn } from 'ahooks' @@ -64,6 +66,7 @@ const Apps = () => { const [isCreatedByMe, setIsCreatedByMe] = useState(queryIsCreatedByMe) const [tagFilterValue, setTagFilterValue] = useState(tagIDs) const [searchKeywords, setSearchKeywords] = useState(keywords) + const newAppCardRef = useRef(null) const setKeywords = useCallback((keywords: string) => { setQuery(prev => ({ ...prev, keywords })) }, [setQuery]) @@ -71,10 +74,15 @@ const Apps = () => { setQuery(prev => ({ ...prev, tagIDs })) }, [setQuery]) - const { data, isLoading, setSize, mutate } = useSWRInfinite( + const { data, isLoading, error, setSize, mutate } = useSWRInfinite( (pageIndex: number, previousPageData: AppListResponse) => getKey(pageIndex, previousPageData, activeTab, isCreatedByMe, tagIDs, searchKeywords), fetchAppList, - { revalidateFirstPage: true }, + { + revalidateFirstPage: true, + shouldRetryOnError: false, + dedupingInterval: 500, + errorRetryCount: 3, + }, ) const anchorRef = useRef(null) @@ -103,15 +111,22 @@ const Apps = () => { useEffect(() => { const hasMore = data?.at(-1)?.has_more ?? true let observer: IntersectionObserver | undefined + + if (error) { + if (observer) + observer.disconnect() + return + } + if (anchorRef.current) { observer = new IntersectionObserver((entries) => { - if (entries[0].isIntersecting && !isLoading && hasMore) + if (entries[0].isIntersecting && !isLoading && !error && hasMore) setSize((size: number) => size + 1) }, { rootMargin: '100px' }) observer.observe(anchorRef.current) } return () => observer?.disconnect() - }, [isLoading, setSize, anchorRef, mutate, data]) + }, [isLoading, setSize, anchorRef, mutate, data, error]) const { run: handleSearch } = useDebounceFn(() => { setSearchKeywords(keywords) @@ -164,14 +179,14 @@ const Apps = () => { {(data && data[0].total > 0) ?
{isCurrentWorkspaceEditor - && } + && } {data.map(({ data: apps }) => apps.map(app => ( )))}
:
{isCurrentWorkspaceEditor - && } + && }
} diff --git a/web/app/(commonLayout)/apps/page.tsx b/web/app/(commonLayout)/apps/page.tsx index 85fe433446..4a146d9b65 100644 --- a/web/app/(commonLayout)/apps/page.tsx +++ b/web/app/(commonLayout)/apps/page.tsx @@ -7,9 +7,12 @@ import style from '../list.module.css' import Apps from './Apps' import AppContext from '@/context/app-context' import { LicenseStatus } from '@/types/feature' +import { useEducationInit } from '@/app/education-apply/hooks' const AppList = () => { const { t } = useTranslation() + useEducationInit() + const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures) return ( 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/${datasetId}/documents`, - icon: DocumentTextIcon, - selectedIcon: DocumentTextSolidIcon, + icon: RiFileTextLine, + selectedIcon: RiFileTextFill, }) } return baseNavigation diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css deleted file mode 100644 index 516b124809..0000000000 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/style.module.css +++ /dev/null @@ -1,9 +0,0 @@ -.statusPoint { - @apply flex justify-center items-center absolute -right-0.5 -bottom-0.5 w-2.5 h-2.5 bg-white rounded; -} -.subTitle { - @apply uppercase text-xs text-gray-500 font-medium px-3 pb-2 pt-4; -} -.emptyIconDiv { - @apply h-7 w-7 bg-gray-50 border border-[#EAECF5] inline-flex justify-center items-center rounded-lg; -} diff --git a/web/app/(commonLayout)/datasets/Container.tsx b/web/app/(commonLayout)/datasets/Container.tsx index c1d9950bf3..771fa7c3f9 100644 --- a/web/app/(commonLayout)/datasets/Container.tsx +++ b/web/app/(commonLayout)/datasets/Container.tsx @@ -11,7 +11,7 @@ import { useQuery } from '@tanstack/react-query' import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel' import Datasets from './Datasets' import DatasetFooter from './DatasetFooter' -import ApiServer from './ApiServer' +import ApiServer from '../../components/develop/ApiServer' import Doc from './Doc' import TabSliderNew from '@/app/components/base/tab-slider-new' import TagManagementModal from '@/app/components/base/tag-management' @@ -38,6 +38,8 @@ const Container = () => { const { showExternalApiPanel, setShowExternalApiPanel } = useExternalApiPanel() const [includeAll, { toggle: toggleIncludeAll }] = useBoolean(false) + document.title = `${t('dataset.knowledge')} - Dify` + const options = useMemo(() => { return [ { value: 'dataset', text: t('dataset.datasets') }, 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/page.tsx b/web/app/(commonLayout)/datasets/page.tsx index 096a1b8979..678de47c94 100644 --- a/web/app/(commonLayout)/datasets/page.tsx +++ b/web/app/(commonLayout)/datasets/page.tsx @@ -4,8 +4,4 @@ const AppList = async () => { return } -export const metadata = { - title: 'Datasets - Dify', -} - export default AppList diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 27c0de16ef..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 @@ -439,6 +474,248 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
+ + + + ### Path + + + Knowledge Base ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eaedb485-95ac-4ffd-ab1e-18da6d676a2f", + "name": "Test Knowledge Base", + "description": "", + "provider": "vendor", + "permission": "only_me", + "data_source_type": null, + "indexing_technique": null, + "app_count": 0, + "document_count": 0, + "word_count": 0, + "created_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "created_at": 1735620612, + "updated_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "updated_at": 1735620612, + "embedding_model": null, + "embedding_model_provider": null, + "embedding_available": true, + "retrieval_model_dict": { + "search_method": "semantic_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + }, + "tags": [], + "doc_form": null, + "external_knowledge_info": { + "external_knowledge_id": null, + "external_knowledge_api_id": null, + "external_knowledge_api_name": null, + "external_knowledge_api_endpoint": null + }, + "external_retrieval_model": { + "top_k": 2, + "score_threshold": 0.0, + "score_threshold_enabled": null + } + } + ``` + + + + +
+ + + + + ### Path + + + Knowledge Base ID + + + Index technique (optional) + - high_quality High quality + - economy Economy + + + Permission + - only_me Only me + - all_team_members All team members + - partial_members Partial members + + + Specified embedding model provider, must be set up in the system first, corresponding to the provider field(Optional) + + + Specified embedding 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) + + + + + + ```bash {{ title: 'cURL' }} + 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": { + "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": [] + }' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eaedb485-95ac-4ffd-ab1e-18da6d676a2f", + "name": "Test Knowledge Base", + "description": "", + "provider": "vendor", + "permission": "only_me", + "data_source_type": null, + "indexing_technique": "high_quality", + "app_count": 0, + "document_count": 0, + "word_count": 0, + "created_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "created_at": 1735620612, + "updated_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "updated_at": 1735622679, + "embedding_model": "embedding-3", + "embedding_model_provider": "zhipuai", + "embedding_available": null, + "retrieval_model_dict": { + "search_method": "semantic_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + }, + "tags": [], + "doc_form": null, + "external_knowledge_info": { + "external_knowledge_id": null, + "external_knowledge_api_id": null, + "external_knowledge_api_name": null, + "external_knowledge_api_endpoint": null + }, + "external_retrieval_model": { + "top_k": 2, + "score_threshold": 0.0, + "score_threshold_enabled": null + }, + "partial_member_list": [] + } + ``` + + + + +
+ - ### Params + ### Path Knowledge ID @@ -486,7 +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 @@ -588,7 +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 @@ -685,7 +962,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -740,7 +1017,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -782,7 +1059,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -857,7 +1134,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1049,10 +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' ``` @@ -1166,7 +1443,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1237,7 +1514,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1314,7 +1591,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1362,7 +1639,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1631,7 +1908,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1678,7 +1955,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1698,9 +1975,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ```bash {{ title: 'cURL' }} ``` @@ -1727,7 +2004,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1760,7 +2037,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1793,7 +2070,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path Knowledge ID @@ -1870,6 +2147,110 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi +
+ + + + + ### Query + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/workspaces/current/models/model-types/text-embedding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + ``` + + + ```json {{ title: 'Response' }} + { + "data": [ + { + "provider": "zhipuai", + "label": { + "zh_Hans": "智谱 AI", + "en_US": "ZHIPU AI" + }, + "icon_small": { + "zh_Hans": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_small/zh_Hans", + "en_US": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_small/en_US" + }, + "icon_large": { + "zh_Hans": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_large/zh_Hans", + "en_US": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_large/en_US" + }, + "status": "active", + "models": [ + { + "model": "embedding-3", + "label": { + "zh_Hans": "embedding-3", + "en_US": "embedding-3" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 8192 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + }, + { + "model": "embedding-2", + "label": { + "zh_Hans": "embedding-2", + "en_US": "embedding-2" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 8192 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + }, + { + "model": "text_embedding", + "label": { + "zh_Hans": "text_embedding", + "en_US": "text_embedding" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 512 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + } + ] + } + ] + } + ``` + + + +
@@ -1974,4 +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 4fe13b156f..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 @@ -1698,9 +1732,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ```bash {{ title: 'cURL' }} ``` @@ -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 ef2637461d..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' @@ -49,7 +54,8 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi 索引方式 - - high_quality 高质量：使用 embedding 模型进行嵌入，构建为向量数据库索引 + - high_quality 高质量：使用 + ding 模型进行嵌入，构建为向量数据库索引 - economy 经济：使用 keyword table index 的倒排索引进行构建 @@ -88,6 +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 @@ -329,6 +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 + @@ -386,11 +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 @@ -439,6 +477,252 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
+ + + + ### Path + + + 知识库 ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eaedb485-95ac-4ffd-ab1e-18da6d676a2f", + "name": "Test Knowledge Base", + "description": "", + "provider": "vendor", + "permission": "only_me", + "data_source_type": null, + "indexing_technique": null, + "app_count": 0, + "document_count": 0, + "word_count": 0, + "created_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "created_at": 1735620612, + "updated_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "updated_at": 1735620612, + "embedding_model": null, + "embedding_model_provider": null, + "embedding_available": true, + "retrieval_model_dict": { + "search_method": "semantic_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + }, + "tags": [], + "doc_form": null, + "external_knowledge_info": { + "external_knowledge_id": null, + "external_knowledge_api_id": null, + "external_knowledge_api_name": null, + "external_knowledge_api_endpoint": null + }, + "external_retrieval_model": { + "top_k": 2, + "score_threshold": 0.0, + "score_threshold_enabled": null + } + } + ``` + + + + +
+ + + + + ### Path + + + 知识库 ID + + + + ### Request Body + + + 索引模式（选填，建议填写） + - high_quality 高质量 + - economy 经济 + + + 权限（选填，默认 only_me） + - only_me 仅自己 + - all_team_members 所有团队成员 + - partial_members 部分团队成员 + + + 嵌入模型提供商（选填）, 必须先在系统内设定好接入的模型，对应的是provider字段 + + + 嵌入模型（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） + + + + + + ```bash {{ title: 'cURL' }} + 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": { + "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": [] + }' + ``` + + + ```json {{ title: 'Response' }} + { + "id": "eaedb485-95ac-4ffd-ab1e-18da6d676a2f", + "name": "Test Knowledge Base", + "description": "", + "provider": "vendor", + "permission": "only_me", + "data_source_type": null, + "indexing_technique": "high_quality", + "app_count": 0, + "document_count": 0, + "word_count": 0, + "created_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "created_at": 1735620612, + "updated_by": "e99a1635-f725-4951-a99a-1daaaa76cfc6", + "updated_at": 1735622679, + "embedding_model": "embedding-3", + "embedding_model_provider": "zhipuai", + "embedding_available": null, + "retrieval_model_dict": { + "search_method": "semantic_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + }, + "tags": [], + "doc_form": null, + "external_knowledge_info": { + "external_knowledge_id": null, + "external_knowledge_api_id": null, + "external_knowledge_api_name": null, + "external_knowledge_api_endpoint": null + }, + "external_retrieval_model": { + "top_k": 2, + "score_threshold": 0.0, + "score_threshold_enabled": null + }, + "partial_member_list": [] + } + ``` + + + + +
+ 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 @@ -1713,7 +1997,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1733,9 +2017,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi ```bash {{ title: 'cURL' }} ``` @@ -1762,7 +2046,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1795,7 +2079,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1828,7 +2112,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Params + ### Path 知识库 ID @@ -1869,7 +2153,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi /> - ### Query + ### Path 知识库 ID @@ -1905,6 +2189,110 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi +
+ + + + + ### Query + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request GET '${props.apiBaseUrl}/workspaces/current/models/model-types/text-embedding' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + ``` + + + ```json {{ title: 'Response' }} + { + "data": [ + { + "provider": "zhipuai", + "label": { + "zh_Hans": "智谱 AI", + "en_US": "ZHIPU AI" + }, + "icon_small": { + "zh_Hans": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_small/zh_Hans", + "en_US": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_small/en_US" + }, + "icon_large": { + "zh_Hans": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_large/zh_Hans", + "en_US": "http://127.0.0.1:5001/console/api/workspaces/current/model-providers/zhipuai/icon_large/en_US" + }, + "status": "active", + "models": [ + { + "model": "embedding-3", + "label": { + "zh_Hans": "embedding-3", + "en_US": "embedding-3" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 8192 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + }, + { + "model": "embedding-2", + "label": { + "zh_Hans": "embedding-2", + "en_US": "embedding-2" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 8192 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + }, + { + "model": "text_embedding", + "label": { + "zh_Hans": "text_embedding", + "en_US": "text_embedding" + }, + "model_type": "text-embedding", + "features": null, + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 512 + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false + } + ] + } + ] + } + ``` + + + +
diff --git a/web/app/(commonLayout)/education-apply/page.tsx b/web/app/(commonLayout)/education-apply/page.tsx new file mode 100644 index 0000000000..873034452e --- /dev/null +++ b/web/app/(commonLayout)/education-apply/page.tsx @@ -0,0 +1,29 @@ +'use client' + +import { + useEffect, + useMemo, +} from 'react' +import { + useRouter, + useSearchParams, +} from 'next/navigation' +import EducationApplyPage from '@/app/education-apply/education-apply-page' +import { useProviderContext } from '@/context/provider-context' + +export default function EducationApply() { + const router = useRouter() + const { enableEducationPlan, isEducationAccount } = useProviderContext() + const searchParams = useSearchParams() + const token = searchParams.get('token') + const showEducationApplyPage = useMemo(() => { + return enableEducationPlan && !isEducationAccount && token + }, [enableEducationPlan, isEducationAccount, token]) + + useEffect(() => { + if (!showEducationApplyPage) + router.replace('/') + }, [showEducationApplyPage, router]) + + return +} diff --git a/web/app/(commonLayout)/plugins/page.tsx b/web/app/(commonLayout)/plugins/page.tsx index a3066311b2..47f2791075 100644 --- a/web/app/(commonLayout)/plugins/page.tsx +++ b/web/app/(commonLayout)/plugins/page.tsx @@ -8,13 +8,9 @@ const PluginList = async () => { return ( } - marketplace={} + marketplace={} /> ) } -export const metadata = { - title: 'Plugins - Dify', -} - export default PluginList diff --git a/web/app/account/account-page/index.tsx b/web/app/account/account-page/index.tsx index 6176fe58af..72d2648c23 100644 --- a/web/app/account/account-page/index.tsx +++ b/web/app/account/account-page/index.tsx @@ -1,7 +1,9 @@ 'use client' import { useState } from 'react' import { useTranslation } from 'react-i18next' - +import { + RiGraduationCapFill, +} from '@remixicon/react' import { useContext } from 'use-context-selector' import DeleteAccount from '../delete-account' import s from './index.module.css' @@ -12,10 +14,12 @@ import Modal from '@/app/components/base/modal' import Button from '@/app/components/base/button' import { updateUserProfile } from '@/service/common' import { useAppContext } from '@/context/app-context' +import { useProviderContext } from '@/context/provider-context' import { ToastContext } from '@/app/components/base/toast' import AppIcon from '@/app/components/base/app-icon' import { IS_CE_EDITION } from '@/config' import Input from '@/app/components/base/input' +import PremiumBadge from '@/app/components/base/premium-badge' const titleClassName = ` system-sm-semibold text-text-secondary @@ -30,6 +34,7 @@ export default function AccountPage() { const { t } = useTranslation() const { systemFeatures } = useAppContext() const { mutateUserProfile, userProfile, apps } = useAppContext() + const { isEducationAccount } = useProviderContext() const { notify } = useContext(ToastContext) const [editNameModalVisible, setEditNameModalVisible] = useState(false) const [editName, setEditName] = useState('') @@ -135,7 +140,15 @@ export default function AccountPage() {
-

{userProfile.name}

+

+ {userProfile.name} + {isEducationAccount && ( + + + EDU + + )} +

{userProfile.email}

diff --git a/web/app/account/avatar.tsx b/web/app/account/avatar.tsx index e37d15c6ae..ea897e639f 100644 --- a/web/app/account/avatar.tsx +++ b/web/app/account/avatar.tsx @@ -2,11 +2,16 @@ import { useTranslation } from 'react-i18next' import { Fragment } from 'react' import { useRouter } from 'next/navigation' +import { + RiGraduationCapFill, +} from '@remixicon/react' import { Menu, MenuButton, MenuItem, MenuItems, Transition } from '@headlessui/react' import Avatar from '@/app/components/base/avatar' import { logout } from '@/service/common' import { useAppContext } from '@/context/app-context' +import { useProviderContext } from '@/context/provider-context' import { LogOut01 } from '@/app/components/base/icons/src/vender/line/general' +import PremiumBadge from '@/app/components/base/premium-badge' export type IAppSelector = { isMobile: boolean @@ -16,6 +21,7 @@ export default function AppSelector() { const router = useRouter() const { t } = useTranslation() const { userProfile } = useAppContext() + const { isEducationAccount } = useProviderContext() const handleLogout = async () => { await logout({ @@ -68,7 +74,15 @@ export default function AppSelector() {
-
{userProfile.name}
+
+ {userProfile.name} + {isEducationAccount && ( + + + EDU + + )} +
{userProfile.email}
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/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/batch-add-annotation-modal/index.tsx b/web/app/components/app/annotation/batch-add-annotation-modal/index.tsx index 117536e0be..8f4e9079ef 100644 --- a/web/app/components/app/annotation/batch-add-annotation-modal/index.tsx +++ b/web/app/components/app/annotation/batch-add-annotation-modal/index.tsx @@ -11,6 +11,7 @@ import Toast from '@/app/components/base/toast' import { annotationBatchImport, checkAnnotationBatchImportProgress } from '@/service/annotation' import { useProviderContext } from '@/context/provider-context' import AnnotationFull from '@/app/components/billing/annotation-full' +import { noop } from 'lodash-es' export enum ProcessStatus { WAITING = 'waiting', @@ -87,7 +88,7 @@ const BatchModal: FC = ({ } return ( - { }} className='!max-w-[520px] !rounded-xl px-8 py-6'> +
{t('appAnnotation.batchModal.title')}
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..360741ab2e 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') } diff --git a/web/app/components/app/configuration/base/operation-btn/index.tsx b/web/app/components/app/configuration/base/operation-btn/index.tsx index 508d9e745d..aba35cded2 100644 --- a/web/app/components/app/configuration/base/operation-btn/index.tsx +++ b/web/app/components/app/configuration/base/operation-btn/index.tsx @@ -7,6 +7,7 @@ import { RiEditLine, } from '@remixicon/react' import cn from '@/utils/classnames' +import { noop } from 'lodash-es' export type IOperationBtnProps = { className?: string @@ -24,7 +25,7 @@ const OperationBtn: FC = ({ className, type, actionName, - onClick = () => { }, + onClick = noop, }) => { const { t } = useTranslation() return ( diff --git a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx index 64c0924f86..3268c1dc76 100644 --- a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx +++ b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx @@ -27,6 +27,7 @@ import { INSERT_VARIABLE_VALUE_BLOCK_COMMAND } from '@/app/components/base/promp import { PROMPT_EDITOR_UPDATE_VALUE_BY_EVENT_EMITTER } from '@/app/components/base/prompt-editor/plugins/update-block' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import { useFeaturesStore } from '@/app/components/base/features/hooks' +import { noop } from 'lodash-es' export type ISimplePromptInput = { mode: AppType @@ -233,14 +234,15 @@ const Prompt: FC = ({ user: '', assistant: '', }, - onEditRole: () => { }, + onEditRole: noop, }} queryBlock={{ show: false, 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-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 0e4256c691..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 @@ -1,12 +1,10 @@ 'use client' import type { FC } from 'react' -import React from 'react' +import React, { useState } from 'react' +import { RiAddLine, RiDeleteBinLine, RiDraggable } from '@remixicon/react' import { useTranslation } from 'react-i18next' -import { PlusIcon } from '@heroicons/react/24/outline' import { ReactSortable } from 'react-sortablejs' -import RemoveIcon from '../../base/icons/remove-icon' - -import s from './style.module.css' +import cn from '@/utils/classnames' export type Options = string[] export type IConfigSelectProps = { @@ -19,6 +17,8 @@ const ConfigSelect: FC = ({ onChange, }) => { const { t } = useTranslation() + const [focusID, setFocusID] = useState(null) + const [deletingID, setDeletingID] = useState(null) const optionList = options.map((content, index) => { return ({ @@ -40,15 +40,18 @@ const ConfigSelect: FC = ({ animation={150} > {options.map((o, index) => ( -
-
- - - -
+
+ { const value = e.target.value @@ -59,14 +62,21 @@ const ConfigSelect: FC = ({ return item })) }} - className={'h-9 w-full grow cursor-pointer border-0 bg-transparent pl-1.5 pr-8 text-sm leading-9 text-gray-900 focus:outline-none'} + className={'h-9 w-full grow cursor-pointer overflow-x-auto rounded-lg border-0 bg-transparent pl-1.5 pr-8 text-sm leading-9 text-text-secondary focus:outline-none'} + onFocus={() => setFocusID(index)} + onBlur={() => setFocusID(null)} /> - { onChange(options.filter((_, i) => index !== i)) }} - /> + onMouseEnter={() => setDeletingID(index)} + onMouseLeave={() => setDeletingID(null)} + > + +
))} @@ -75,9 +85,9 @@ const ConfigSelect: FC = ({
{ onChange([...options, '']) }} - className='flex h-9 cursor-pointer items-center gap-2 rounded-lg bg-gray-100 px-3 text-gray-400'> - -
{t('appDebug.variableConfig.addOption')}
+ className='mt-1 flex h-9 cursor-pointer items-center gap-2 rounded-lg bg-components-button-tertiary-bg px-3 text-components-button-tertiary-text hover:bg-components-button-tertiary-bg-hover'> + +
{t('appDebug.variableConfig.addOption')}
) diff --git a/web/app/components/app/configuration/config-var/config-select/style.module.css b/web/app/components/app/configuration/config-var/config-select/style.module.css deleted file mode 100644 index a09d19537d..0000000000 --- a/web/app/components/app/configuration/config-var/config-select/style.module.css +++ /dev/null @@ -1,21 +0,0 @@ -.inputWrap { - display: flex; - align-items: center; - border-radius: 8px; - border: 1px solid #EAECF0; - padding-left: 10px; - cursor: pointer; -} - -.deleteBtn { - display: none; - display: flex; -} - -.inputWrap:hover { - box-shadow: 0px 1px 2px rgba(16, 24, 40, 0.05); -} - -.inputWrap:hover .deleteBtn { - display: flex; -} \ No newline at end of file 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/agent/prompt-editor.tsx b/web/app/components/app/configuration/config/agent/prompt-editor.tsx index 550dd0a56c..7f7f140eda 100644 --- a/web/app/components/app/configuration/config/agent/prompt-editor.tsx +++ b/web/app/components/app/configuration/config/agent/prompt-editor.tsx @@ -14,8 +14,9 @@ import type { ExternalDataTool } from '@/models/common' import ConfigContext from '@/context/debug-configuration' import { useModalContext } from '@/context/modal-context' import { useToastContext } from '@/app/components/base/toast' - import s from '@/app/components/app/configuration/config-prompt/style.module.css' +import { noop } from 'lodash-es' + type Props = { className?: string type: 'first-prompt' | 'next-iteration' @@ -128,14 +129,14 @@ const Editor: FC = ({ user: '', assistant: '', }, - onEditRole: () => { }, + onEditRole: noop, }} queryBlock={{ show: false, selectable: false, }} onChange={onChange} - onBlur={() => { }} + onBlur={noop} />
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/index.tsx b/web/app/components/app/configuration/dataset-config/index.tsx index 87f14b0e31..6165cfdeec 100644 --- a/web/app/components/app/configuration/dataset-config/index.tsx +++ b/web/app/components/app/configuration/dataset-config/index.tsx @@ -182,7 +182,6 @@ const DatasetConfig: FC = () => { }, [setDatasetConfigs, datasetConfigsRef]) const handleUpdateCondition = useCallback((id, newCondition) => { - console.log(newCondition, 'newCondition') const conditions = datasetConfigsRef.current!.metadata_filtering_conditions?.conditions || [] const index = conditions.findIndex(c => c.id === id) const newInputs = produce(datasetConfigsRef.current!, (draft) => { @@ -271,7 +270,7 @@ const DatasetConfig: FC = () => { handleMetadataModelChange={handleMetadataModelChange} handleMetadataCompletionParamsChange={handleMetadataCompletionParamsChange} isCommonVariable - availableCommonStringVars={promptVariablesToSelect.filter(item => item.type === MetadataFilteringVariableType.string)} + availableCommonStringVars={promptVariablesToSelect.filter(item => item.type === MetadataFilteringVariableType.string || item.type === MetadataFilteringVariableType.select)} availableCommonNumberVars={promptVariablesToSelect.filter(item => item.type === MetadataFilteringVariableType.number)} />
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 14f0c3d865..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 @@ -25,6 +25,7 @@ import { useSelectedDatasetsMode } from '@/app/components/workflow/nodes/knowled import Switch from '@/app/components/base/switch' import Toast from '@/app/components/base/toast' import Divider from '@/app/components/base/divider' +import { noop } from 'lodash-es' type Props = { datasetConfigs: DatasetConfigs @@ -41,8 +42,8 @@ const ConfigContent: FC = ({ onChange, isInWorkflow, singleRetrievalModelConfig: singleRetrievalConfig = {} as ModelConfig, - onSingleRetrievalModelChange = () => { }, - onSingleRetrievalModelParamsChange = () => { }, + onSingleRetrievalModelChange = noop, + onSingleRetrievalModelParamsChange = noop, selectedDatasets = [], }) => { const { t } = useTranslation() @@ -367,8 +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.tsx b/web/app/components/app/configuration/dataset-config/params-config/weighted-score.tsx index 2d63d6c4c4..5f0ad94d86 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/weighted-score.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/weighted-score.tsx @@ -3,6 +3,7 @@ import { useTranslation } from 'react-i18next' import './weighted-score.css' import Slider from '@/app/components/base/slider' import cn from '@/utils/classnames' +import { noop } from 'lodash-es' const formatNumber = (value: number) => { if (value > 0 && value < 1) @@ -23,7 +24,7 @@ type WeightedScoreProps = { } const WeightedScore = ({ value, - onChange = () => {}, + onChange = noop, }: WeightedScoreProps) => { const { t } = useTranslation() 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..645f6045f0 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 @@ -62,13 +62,13 @@ 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 +88,14 @@ 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 +158,7 @@ const SettingsModal: FC = ({ retrieval_model_dict: retrievalConfig, }) } - catch (e) { + catch { notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) } finally { diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/context.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/context.tsx index d95faf7ae9..1fcd878c44 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/context.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/context.tsx @@ -2,6 +2,7 @@ import { createContext, useContext } from 'use-context-selector' import type { ModelAndParameter } from '../types' +import { noop } from 'lodash-es' export type DebugWithMultipleModelContextType = { multipleModelConfigs: ModelAndParameter[] @@ -11,8 +12,8 @@ export type DebugWithMultipleModelContextType = { } const DebugWithMultipleModelContext = createContext({ multipleModelConfigs: [], - onMultipleModelConfigsChange: () => {}, - onDebugWithMultipleModelChange: () => {}, + onMultipleModelConfigsChange: noop, + onDebugWithMultipleModelChange: noop, }) export const useDebugWithMultipleModelContext = () => useContext(DebugWithMultipleModelContext) 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-multiple-model/text-generation-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/text-generation-item.tsx index 4110c0a58a..8f8555efa4 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/text-generation-item.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/text-generation-item.tsx @@ -14,6 +14,7 @@ import { TransferMethod } from '@/app/components/base/chat/types' import { useEventEmitterContextContext } from '@/context/event-emitter' import { useProviderContext } from '@/context/provider-context' import { useFeatures } from '@/app/components/base/features/hooks' +import { noop } from 'lodash-es' type TextGenerationItemProps = { modelAndParameter: ModelAndParameter @@ -134,7 +135,7 @@ const TextGenerationItem: FC = ({ siteInfo={null} messageId={messageId} isError={false} - onRetry={() => { }} + onRetry={noop} inSidePanel /> ) 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/debug/index.tsx b/web/app/components/app/configuration/debug/index.tsx index 6ec400c6a5..477328dad3 100644 --- a/web/app/components/app/configuration/debug/index.tsx +++ b/web/app/components/app/configuration/debug/index.tsx @@ -47,6 +47,7 @@ import AgentLogModal from '@/app/components/base/agent-log-modal' import PromptLogModal from '@/app/components/base/prompt-log-modal' import { useStore as useAppStore } from '@/app/components/app/store' import { useFeatures, useFeaturesStore } from '@/app/components/base/features/hooks' +import { noop } from 'lodash-es' type IDebug = { isAPIKeySet: boolean @@ -515,7 +516,7 @@ const Debug: FC = ({ isInstalledApp={false} messageId={messageId} isError={false} - onRetry={() => { }} + onRetry={noop} siteInfo={null} />
diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx index cc6909d151..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' @@ -197,9 +198,6 @@ const Configuration: FC = () => { const isOpenAI = modelConfig.provider === 'langgenius/openai/openai' const [collectionList, setCollectionList] = useState([]) - useEffect(() => { - - }, []) const [datasetConfigs, doSetDatasetConfigs] = useState({ retrieval_model: RETRIEVE_TYPE.multiWay, reranking_model: { @@ -230,7 +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) @@ -248,7 +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) @@ -506,6 +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) @@ -516,7 +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/tools/external-data-tool-modal.tsx b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx index 70b0c120b8..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 @@ -19,6 +19,7 @@ import type { } from '@/models/common' import { useToastContext } from '@/app/components/base/toast' import AppIcon from '@/app/components/base/app-icon' +import { noop } from 'lodash-es' const systemTypes = ['api'] type ExternalDataToolModalProps = { @@ -150,7 +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 } @@ -185,7 +186,7 @@ const ExternalDataToolModal: FC = ({ return ( { }} + onClose={noop} className='!w-[640px] !max-w-none !p-8 !pb-6' >
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..702a07397d 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') }) } } diff --git a/web/app/components/app/create-app-dialog/index.tsx b/web/app/components/app/create-app-dialog/index.tsx index acc3650211..794bbbf9e8 100644 --- a/web/app/components/app/create-app-dialog/index.tsx +++ b/web/app/components/app/create-app-dialog/index.tsx @@ -1,4 +1,6 @@ 'use client' +import { useCallback } from 'react' +import { useKeyPress } from 'ahooks' import AppList from './app-list' import FullScreenModal from '@/app/components/base/fullscreen-modal' @@ -10,6 +12,13 @@ type CreateAppDialogProps = { } const CreateAppTemplateDialog = ({ show, onSuccess, onClose, onCreateFromBlank }: CreateAppDialogProps) => { + const handleEscKeyPress = useCallback(() => { + if (show) + onClose() + }, [show, onClose]) + + useKeyPress('esc', handleEscKeyPress) + return ( { + const category = searchParams.get('category') + if (category && AppModes.includes(category as AppMode)) + setAppMode(category as AppMode) + }, [searchParams]) + const onCreate = useCallback(async () => { if (!appMode) { notify({ type: 'error', message: t('app.newApp.appTypeRequired') }) @@ -81,7 +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 @@ -148,7 +158,6 @@ function CreateApp({ onClose, onSuccess, onCreateFromTemplate }: CreateAppProps)
void } -function AppTypeCard({ icon, title, beta = false, description, active, onClick }: AppTypeCardProps) { - const { t } = useTranslation() +function AppTypeCard({ icon, title, description, active, onClick }: AppTypeCardProps) { return
- {beta &&
{t('common.menus.status')}
} {icon}
{title}
{description}
@@ -350,11 +353,11 @@ function AppScreenShot({ mode, show }: { mode: AppMode; show: boolean }) { 'workflow': 'Workflow', } return - - - + + + App Screen Shot diff --git a/web/app/components/app/create-from-dsl-modal/index.tsx b/web/app/components/app/create-from-dsl-modal/index.tsx index 8c4f386c7c..c1df10ed64 100644 --- a/web/app/components/app/create-from-dsl-modal/index.tsx +++ b/web/app/components/app/create-from-dsl-modal/index.tsx @@ -5,7 +5,8 @@ import { useMemo, useRef, useState } from 'react' import { useRouter } from 'next/navigation' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' -import { RiCloseLine } from '@remixicon/react' +import { RiCloseLine, RiCommandLine, RiCornerDownLeftLine } from '@remixicon/react' +import { useDebounceFn, useKeyPress } from 'ahooks' import Uploader from './uploader' import Button from '@/app/components/base/button' import Input from '@/app/components/base/input' @@ -26,6 +27,7 @@ import { NEED_REFRESH_APP_LIST_KEY } from '@/config' import { getRedirection } from '@/utils/app-redirection' import cn from '@/utils/classnames' import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks' +import { noop } from 'lodash-es' type CreateFromDSLModalProps = { show: boolean @@ -142,6 +144,18 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS isCreatingRef.current = false } + const { run: handleCreateApp } = useDebounceFn(onCreate, { wait: 300 }) + + useKeyPress(['meta.enter', 'ctrl.enter'], () => { + if (show && !isAppsFull && ((currentTab === CreateFromDSLModalTab.FROM_FILE && currentFile) || (currentTab === CreateFromDSLModalTab.FROM_URL && dslUrlValue))) + handleCreateApp() + }) + + useKeyPress('esc', () => { + if (show && !showErrorModal) + onClose() + }) + const onDSLConfirm: MouseEventHandler = async () => { try { if (!importId) @@ -203,7 +217,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS { }} + onClose={noop} >
{t('app.importFromDSL')} @@ -265,7 +279,18 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS )}
- +
{ }} + onClose={noop} className={cn('relative !max-w-[480px]', 'px-8')} >
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 0ca80c3ec3..056ce84f1e 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -41,6 +41,7 @@ import { CopyIcon } from '@/app/components/base/copy-icon' import { buildChatItemTree, getThreadMessages } from '@/app/components/base/chat/utils' import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils' import cn from '@/utils/classnames' +import { noop } from 'lodash-es' dayjs.extend(utc) dayjs.extend(timezone) @@ -411,7 +412,7 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { content={detail.message.answer} messageId={detail.message.id} isError={false} - onRetry={() => { }} + onRetry={noop} isInstalledApp={false} supportFeedback feedback={detail.message.feedbacks.find((item: any) => item.from_source === 'admin')} @@ -546,7 +547,7 @@ 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 } @@ -559,7 +560,7 @@ 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 } @@ -590,7 +591,7 @@ 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 } @@ -602,7 +603,7 @@ 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 } @@ -742,7 +743,7 @@ 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) => `