Merge remote-tracking branch 'upstream/main'

pull/20312/head
root 1 year ago
commit b3cbc27e91

@ -1,11 +1,11 @@
#!/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 --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

@ -1,3 +1,3 @@
#!/bin/bash
cd api && poetry install
cd api && uv sync

@ -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 }}

@ -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 }}

@ -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

@ -6,7 +6,6 @@ on:
- "main"
- "deploy/dev"
- "deploy/enterprise"
- release/1.1.3-fix1
tags:
- "*"

@ -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

@ -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

@ -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

@ -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 }}

@ -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/*'

@ -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

@ -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

1
.gitignore vendored

@ -46,6 +46,7 @@ htmlcov/
.cache
nosetests.xml
coverage.xml
coverage.json
*.cover
*.py,cover
.hypothesis/

@ -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)。同时也遵循社区[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
## 开始之前

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
<a href="https://dify.ai/pricing">Dify edition overview</a>
</p>
<p align="center">
@ -54,7 +54,7 @@
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production.
## Quick start
@ -188,7 +188,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
- **Dify for enterprise / organizations</br>**
We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
## Staying ahead
@ -233,7 +233,7 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
## Community & contact

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">الاستضافة الذاتية</a> ·
<a href="https://docs.dify.ai">التوثيق</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</a>
<a href="https://dify.ai/pricing">نظرة عامة على منتجات Dify</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">ডিফাই ক্লাউড</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">সেল্ফ-হোস্টিং</a> ·
<a href="https://docs.dify.ai">ডকুমেন্টেশন</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">ব্যাবসায়িক অনুসন্ধান</a>
<a href="https://dify.ai/pricing">Dify পণ্যের রূপভেদ</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 云服务</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
<a href="https://docs.dify.ai">文档</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">(需用英文)常见问题解答 / 联系团队</a>
<a href="https://dify.ai/pricing">Dify 产品形态总览</a>
</div>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Selbstgehostetes</a> ·
<a href="https://docs.dify.ai">Dokumentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Anfrage an Unternehmen</a>
<a href="https://dify.ai/pricing">Überblick über die Dify-Produkte</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
<a href="https://docs.dify.ai">Documentación</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
<a href="https://dify.ai/pricing">Resumen de las ediciones de Dify</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande dentreprise (en anglais seulement)</a>
<a href="https://dify.ai/pricing">Présentation des différentes offres Dify</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
<a href="https://docs.dify.ai">ドキュメント</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ(英語のみ)</a>
<a href="https://dify.ai/pricing">Difyの各種エディションについて</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
<a href="https://dify.ai/pricing">Dify product editions</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
<a href="https://docs.dify.ai">문서</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</a>
<a href="https://dify.ai/pricing">Dify 제품 에디션 안내</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hospedagem</a> ·
<a href="https://docs.dify.ai">Documentação</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
<a href="https://dify.ai/pricing">Visão geral das edições do Dify</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
<a href="https://docs.dify.ai">Dokumentacija</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
<a href="https://dify.ai/pricing">Pregled ponudb izdelkov Dify</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Bulut</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
<a href="https://docs.dify.ai">Dokümantasyon</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
<a href="https://dify.ai/pricing">Dify ürün seçeneklerine genel bakış</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify 雲端服務</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自行託管</a> ·
<a href="https://docs.dify.ai">說明文件</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業諮詢</a>
<a href="https://dify.ai/pricing">產品方案概覽</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
<a href="https://docs.dify.ai">Tài liệu</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
<a href="https://dify.ai/pricing">Tổng quan các lựa chọn sản phẩm Dify</a>
</p>
<p align="center">

@ -165,6 +165,7 @@ MILVUS_URI=http://127.0.0.1:19530
MILVUS_TOKEN=
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_ANALYZER_PARAMS=
# MyScale configuration
MYSCALE_HOST=127.0.0.1
@ -296,6 +297,7 @@ LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:
LINDORM_USERNAME=admin
LINDORM_PASSWORD=admin
USING_UGC_INDEX=False
LINDORM_QUERY_TIMEOUT=1
# OceanBase Vector configuration
OCEANBASE_VECTOR_HOST=127.0.0.1
@ -326,6 +328,7 @@ 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=
@ -422,6 +425,12 @@ WORKFLOW_CALL_MAX_DEPTH=5
WORKFLOW_PARALLEL_DEPTH_LIMIT=3
MAX_VARIABLE_SIZE=204800
# Workflow storage configuration
# Options: rdbms, hybrid
# rdbms: Use only the relational database (default)
# hybrid: Save new data to object storage, read from both object storage and RDBMS
WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
# App configuration
APP_MAX_EXECUTION_TIME=1200
APP_MAX_ACTIVE_REQUESTS=0
@ -462,3 +471,19 @@ CREATE_TIDB_SERVICE_JOB_ENABLED=false
MAX_SUBMIT_COUNT=100
# Lockout duration in seconds
LOGIN_LOCKOUT_DURATION=86400
# Enable OpenTelemetry
ENABLE_OTEL=false
OTLP_BASE_ENDPOINT=http://localhost:4318
OTLP_API_KEY=
OTEL_EXPORTER_TYPE=otlp
OTEL_SAMPLING_RATE=0.1
OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
OTEL_MAX_QUEUE_SIZE=2048
OTEL_MAX_EXPORT_BATCH_SIZE=512
OTEL_METRIC_EXPORT_INTERVAL=60000
OTEL_BATCH_EXPORT_TIMEOUT=10000
OTEL_METRIC_EXPORT_TIMEOUT=30000
# Prevent Clickjacking
ALLOW_EMBED=false

@ -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

@ -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
```

@ -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]

@ -271,6 +271,7 @@ def migrate_knowledge_vector_database():
upper_collection_vector_types = {
VectorType.MILVUS,
VectorType.PGVECTOR,
VectorType.VASTBASE,
VectorType.RELYT,
VectorType.WEAVIATE,
VectorType.ORACLE,

@ -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

@ -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):
"""

@ -22,6 +22,7 @@ from .vdb.baidu_vector_config import BaiduVectorDBConfig
from .vdb.chroma_config import ChromaConfig
from .vdb.couchbase_config import CouchbaseConfig
from .vdb.elasticsearch_config import ElasticsearchConfig
from .vdb.huawei_cloud_config import HuaweiCloudConfig
from .vdb.lindorm_config import LindormConfig
from .vdb.milvus_config import MilvusConfig
from .vdb.myscale_config import MyScaleConfig
@ -38,6 +39,7 @@ from .vdb.tencent_vector_config import TencentVectorDBConfig
from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
from .vdb.tidb_vector_config import TiDBVectorConfig
from .vdb.upstash_config import UpstashConfig
from .vdb.vastbase_vector_config import VastbaseVectorConfig
from .vdb.vikingdb_config import VikingDBConfig
from .vdb.weaviate_config import WeaviateConfig
@ -263,11 +265,13 @@ class MiddlewareConfig(
VectorStoreConfig,
AnalyticdbConfig,
ChromaConfig,
HuaweiCloudConfig,
MilvusConfig,
MyScaleConfig,
OpenSearchConfig,
OracleConfig,
PGVectorConfig,
VastbaseVectorConfig,
PGVectoRSConfig,
QdrantConfig,
RelytConfig,

@ -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,
)

@ -32,3 +32,4 @@ class LindormConfig(BaseSettings):
description="Using UGC index will store the same type of Index in a single index but can retrieve separately.",
default=False,
)
LINDORM_QUERY_TIMEOUT: Optional[float] = Field(description="The lindorm search request timeout (s)", default=2.0)

@ -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,
)

@ -0,0 +1,45 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class VastbaseVectorConfig(BaseSettings):
"""
Configuration settings for Vector (Vastbase with vector extension)
"""
VASTBASE_HOST: Optional[str] = Field(
description="Hostname or IP address of the Vastbase server with Vector extension (e.g., 'localhost')",
default=None,
)
VASTBASE_PORT: PositiveInt = Field(
description="Port number on which the Vastbase server is listening (default is 5432)",
default=5432,
)
VASTBASE_USER: Optional[str] = Field(
description="Username for authenticating with the Vastbase database",
default=None,
)
VASTBASE_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the Vastbase database",
default=None,
)
VASTBASE_DATABASE: Optional[str] = Field(
description="Name of the Vastbase database to connect to",
default=None,
)
VASTBASE_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the Vastbase database",
default=1,
)
VASTBASE_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the Vastbase database",
default=5,
)

@ -0,0 +1,9 @@
from configs.observability.otel.otel_config import OTelConfig
class ObservabilityConfig(OTelConfig):
"""
Observability configuration settings
"""
pass

@ -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")

@ -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(

@ -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)

@ -3,3 +3,4 @@ from enum import StrEnum
class RemoteSettingsSourceName(StrEnum):
APOLLO = "apollo"
NACOS = "nacos"

@ -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

@ -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

@ -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

@ -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])

@ -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,
},
}

@ -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":

@ -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")

@ -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")

@ -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()

@ -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:

@ -16,7 +16,7 @@ from controllers.console.auth.error import (
PasswordMismatchError,
)
from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
from controllers.console.wraps import setup_required
from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created
from extensions.ext_database import db
from libs.helper import email, extract_remote_ip
@ -30,6 +30,7 @@ from services.feature_service import FeatureService
class ForgotPasswordSendEmailApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
@ -62,6 +63,7 @@ class ForgotPasswordSendEmailApi(Resource):
class ForgotPasswordCheckApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
@ -86,12 +88,21 @@ class ForgotPasswordCheckApi(Resource):
AccountService.add_forgot_password_error_rate_limit(args["email"])
raise EmailCodeError()
# Verified, revoke the first token
AccountService.revoke_reset_password_token(args["token"])
# Refresh token data by generating a new token
_, new_token = AccountService.generate_reset_password_token(
user_email, code=args["code"], additional_data={"phase": "reset"}
)
AccountService.reset_forgot_password_error_rate_limit(args["email"])
return {"is_valid": True, "email": token_data.get("email")}
return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
class ForgotPasswordResetApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
@ -107,6 +118,9 @@ class ForgotPasswordResetApi(Resource):
reset_data = AccountService.get_reset_password_data(args["token"])
if not reset_data:
raise InvalidTokenError()
# Must use token in reset phase
if reset_data.get("phase", "") != "reset":
raise InvalidTokenError()
# Revoke token to prevent reuse
AccountService.revoke_reset_password_token(args["token"])

@ -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")

@ -657,6 +657,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.ELASTICSEARCH
| VectorType.ELASTICSEARCH_JA
| VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.TIDB_ON_QDRANT
| VectorType.LINDORM
| VectorType.COUCHBASE
@ -664,6 +665,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.OPENGAUSS
| VectorType.OCEANBASE
| VectorType.TABLESTORE
| VectorType.HUAWEI_CLOUD
| VectorType.TENCENT
):
return {
@ -705,11 +707,13 @@ class DatasetRetrievalSettingMockApi(Resource):
| VectorType.ELASTICSEARCH_JA
| VectorType.COUCHBASE
| VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.LINDORM
| VectorType.OPENGAUSS
| VectorType.OCEANBASE
| VectorType.TABLESTORE
| VectorType.TENCENT
| VectorType.HUAWEI_CLOUD
):
return {
"retrieval_method": [

@ -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

@ -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

@ -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

@ -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):

@ -286,8 +286,6 @@ class AccountDeleteApi(Resource):
class AccountDeleteUpdateFeedbackApi(Resource):
@setup_required
def post(self):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
parser.add_argument("feedback", type=str, required=True, location="json")

@ -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):

@ -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
@ -232,6 +249,31 @@ class PluginInstallFromMarketplaceApi(Resource):
return jsonable_encoder(response)
class PluginFetchMarketplacePkgApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def get(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args")
args = parser.parse_args()
try:
return jsonable_encoder(
{
"manifest": PluginService.fetch_marketplace_pkg(
tenant_id,
args["plugin_unique_identifier"],
)
}
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginFetchManifestApi(Resource):
@setup_required
@login_required
@ -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/<task_id>/delete/<path:identifier>")
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")

@ -10,6 +10,7 @@ from configs import dify_config
from controllers.console.workspace.error import AccountNotInitializedError
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.account import AccountStatus
from models.dataset import RateLimitLog
from models.model import DifySetup
from services.feature_service import FeatureService, LicenseStatus
@ -24,7 +25,7 @@ def account_initialization_required(view):
# check account initialization
account = current_user
if account.status == "uninitialized":
if account.status == AccountStatus.UNINITIALIZED:
raise AccountNotInitializedError()
return view(*args, **kwargs)
@ -210,3 +211,16 @@ def enterprise_license_required(view):
return view(*args, **kwargs)
return decorated
def email_password_login_enabled(view):
@wraps(view)
def decorated(*args, **kwargs):
features = FeatureService.get_system_features()
if features.enable_email_password_login:
return view(*args, **kwargs)
# otherwise, return 403
abort(403)
return decorated

@ -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")

@ -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")

@ -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):

@ -14,6 +14,9 @@ from fields.conversation_fields import (
conversation_infinite_scroll_pagination_fields,
simple_conversation_fields,
)
from fields.conversation_variable_fields import (
conversation_variable_infinite_scroll_pagination_fields,
)
from libs.helper import uuid_value
from models.model import App, AppMode, EndUser
from services.conversation_service import ConversationService
@ -93,6 +96,31 @@ class ConversationRenameApi(Resource):
raise NotFound("Conversation Not Exists.")
class ConversationVariablesApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
@marshal_with(conversation_variable_infinite_scroll_pagination_fields)
def get(self, app_model: App, end_user: EndUser, c_id):
# conversational variable only for chat app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
raise NotChatAppError()
conversation_id = str(c_id)
parser = reqparse.RequestParser()
parser.add_argument("last_id", type=uuid_value, location="args")
parser.add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
args = parser.parse_args()
try:
return ConversationService.get_conversational_variable(
app_model, conversation_id, end_user, args["limit"], args["last_id"]
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
api.add_resource(ConversationRenameApi, "/conversations/<uuid:c_id>/name", endpoint="conversation_name")
api.add_resource(ConversationApi, "/conversations")
api.add_resource(ConversationDetailApi, "/conversations/<uuid:c_id>", endpoint="conversation_detail")
api.add_resource(ConversationVariablesApi, "/conversations/<uuid:c_id>/variables", endpoint="conversation_variables")

@ -20,14 +20,6 @@ from services.message_service import MessageService
class MessageListApi(Resource):
def get_retriever_resources(self):
try:
if self.message_metadata:
return json.loads(self.message_metadata).get("retriever_resources", [])
return []
except (json.JSONDecodeError, TypeError):
return []
message_fields = {
"id": fields.String,
"conversation_id": fields.String,
@ -37,7 +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": get_retriever_resources,
"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,

@ -1,6 +1,6 @@
import logging
from datetime import datetime
from dateutil.parser import isoparse
from flask_restful import Resource, fields, marshal_with, reqparse # type: ignore
from flask_restful.inputs import int_range # type: ignore
from sqlalchemy.orm import Session
@ -59,7 +59,7 @@ class WorkflowRunDetailApi(Resource):
Get a workflow task running detail
"""
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]:
raise NotWorkflowAppError()
workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == workflow_run_id).first()
@ -140,10 +140,10 @@ class WorkflowAppLogApi(Resource):
args.status = WorkflowRunStatus(args.status) if args.status else None
if args.created_at__before:
args.created_at__before = datetime.fromisoformat(args.created_at__before.replace("Z", "+00:00"))
args.created_at__before = isoparse(args.created_at__before)
if args.created_at__after:
args.created_at__after = datetime.fromisoformat(args.created_at__after.replace("Z", "+00:00"))
args.created_at__after = isoparse(args.created_at__after)
# get paginate workflow app logs
workflow_app_service = WorkflowAppService()

@ -13,6 +13,7 @@ from fields.dataset_fields import dataset_detail_fields
from libs.login import current_user
from models.dataset import Dataset, DatasetPermissionEnum
from services.dataset_service import DatasetPermissionService, DatasetService
from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
def _validate_name(name):
@ -120,8 +121,11 @@ class DatasetListApi(DatasetApiResource):
nullable=True,
required=False,
)
args = parser.parse_args()
parser.add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json")
parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
args = parser.parse_args()
try:
dataset = DatasetService.create_empty_dataset(
tenant_id=tenant_id,
@ -133,6 +137,11 @@ class DatasetListApi(DatasetApiResource):
provider=args["provider"],
external_knowledge_api_id=args["external_knowledge_api_id"],
external_knowledge_id=args["external_knowledge_id"],
embedding_model_provider=args["embedding_model_provider"],
embedding_model_name=args["embedding_model"],
retrieval_model=RetrievalModel(**args["retrieval_model"])
if args["retrieval_model"] is not None
else None,
)
except services.errors.dataset.DatasetNameDuplicateError:
raise DatasetNameDuplicateError()

@ -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)

@ -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()

@ -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 = {

@ -69,7 +69,7 @@ def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optio
) # TODO: only owner information is required, so only one is returned.
if tenant_account_join:
tenant, ta = tenant_account_join
account = Account.query.filter_by(id=ta.account_id).first()
account = db.session.query(Account).filter(Account.id == ta.account_id).first()
# Login admin
if account:
account.current_tenant = tenant

@ -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):

@ -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,
}

@ -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(

@ -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:

@ -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

@ -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

@ -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)

@ -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,
},
}

@ -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,
}

@ -7,6 +7,7 @@ from typing import Any, Literal, Optional, Union, overload
from flask import Flask, current_app
from pydantic import ValidationError
from sqlalchemy.orm import sessionmaker
import contexts
from configs import dify_config
@ -24,6 +25,8 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotA
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
from core.repository import RepositoryFactory
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from models.account import Account
@ -158,11 +161,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
workflow=workflow,
user=user,
invoke_from=invoke_from,
application_generate_entity=application_generate_entity,
workflow_node_execution_repository=workflow_node_execution_repository,
conversation=conversation,
stream=streaming,
)
@ -215,11 +229,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
workflow=workflow,
user=user,
invoke_from=InvokeFrom.DEBUGGER,
application_generate_entity=application_generate_entity,
workflow_node_execution_repository=workflow_node_execution_repository,
conversation=None,
stream=streaming,
)
@ -270,11 +295,22 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
workflow=workflow,
user=user,
invoke_from=InvokeFrom.DEBUGGER,
application_generate_entity=application_generate_entity,
workflow_node_execution_repository=workflow_node_execution_repository,
conversation=None,
stream=streaming,
)
@ -286,6 +322,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
user: Union[Account, EndUser],
invoke_from: InvokeFrom,
application_generate_entity: AdvancedChatAppGenerateEntity,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
conversation: Optional[Conversation] = None,
stream: bool = True,
) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
@ -296,6 +333,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
:param user: account or end user
:param invoke_from: invoke from source
:param application_generate_entity: application generate entity
:param workflow_node_execution_repository: repository for workflow node execution
:param conversation: conversation
:param stream: is stream
"""
@ -348,6 +386,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
conversation=conversation,
message=message,
user=user,
workflow_node_execution_repository=workflow_node_execution_repository,
stream=stream,
)
@ -419,6 +458,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
conversation: Conversation,
message: Message,
user: Union[Account, EndUser],
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
stream: bool = False,
) -> Union[ChatbotAppBlockingResponse, Generator[ChatbotAppStreamResponse, None, None]]:
"""
@ -430,6 +470,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
:param message: message
:param user: account or end user
:param stream: is stream
:param workflow_node_execution_repository: optional repository for workflow node execution
:return:
"""
# init generate task pipeline
@ -442,6 +483,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
user=user,
stream=stream,
dialogue_count=self._dialogue_count,
workflow_node_execution_repository=workflow_node_execution_repository,
)
try:

@ -62,6 +62,7 @@ from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage
from core.model_runtime.entities.llm_entities import LLMUsage
from core.model_runtime.utils.encoders import jsonable_encoder
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.enums import SystemVariableKey
from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
from core.workflow.nodes import NodeType
@ -93,6 +94,7 @@ class AdvancedChatAppGenerateTaskPipeline:
user: Union[Account, EndUser],
stream: bool,
dialogue_count: int,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
) -> None:
self._base_task_pipeline = BasedGenerateTaskPipeline(
application_generate_entity=application_generate_entity,
@ -123,6 +125,7 @@ class AdvancedChatAppGenerateTaskPipeline:
SystemVariableKey.WORKFLOW_ID: workflow.id,
SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
},
workflow_node_execution_repository=workflow_node_execution_repository,
)
self._task_state = WorkflowTaskState()
@ -320,10 +323,9 @@ class AdvancedChatAppGenerateTaskPipeline:
session=session, workflow_run_id=self._workflow_run_id
)
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried(
session=session, workflow_run=workflow_run, event=event
workflow_run=workflow_run, event=event
)
node_retry_resp = self._workflow_cycle_manager._workflow_node_retry_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
@ -341,11 +343,10 @@ class AdvancedChatAppGenerateTaskPipeline:
session=session, workflow_run_id=self._workflow_run_id
)
workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start(
session=session, workflow_run=workflow_run, event=event
workflow_run=workflow_run, event=event
)
node_start_resp = self._workflow_cycle_manager._workflow_node_start_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
@ -363,11 +364,10 @@ class AdvancedChatAppGenerateTaskPipeline:
with Session(db.engine, expire_on_commit=False) as session:
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success(
session=session, event=event
event=event
)
node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
@ -383,18 +383,15 @@ class AdvancedChatAppGenerateTaskPipeline:
| QueueNodeInLoopFailedEvent
| QueueNodeExceptionEvent,
):
with Session(db.engine, expire_on_commit=False) as session:
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
session=session, event=event
)
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
event=event
)
node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
session.commit()
node_finish_resp = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
if node_finish_resp:
yield node_finish_resp
@ -690,7 +687,9 @@ class AdvancedChatAppGenerateTaskPipeline:
)
elif isinstance(event, QueueMessageReplaceEvent):
# published by moderation
yield self._message_cycle_manager._message_replace_to_stream_response(answer=event.text)
yield self._message_cycle_manager._message_replace_to_stream_response(
answer=event.text, reason=event.reason
)
elif isinstance(event, QueueAdvancedChatMessageEndEvent):
if not graph_runtime_state:
raise ValueError("graph runtime state not initialized.")
@ -701,7 +700,8 @@ class AdvancedChatAppGenerateTaskPipeline:
if output_moderation_answer:
self._task_state.answer = output_moderation_answer
yield self._message_cycle_manager._message_replace_to_stream_response(
answer=output_moderation_answer
answer=output_moderation_answer,
reason=QueueMessageReplaceEvent.MessageReplaceReason.OUTPUT_MODERATION,
)
# Save message

@ -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)

@ -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

@ -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)

@ -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(

@ -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:

@ -7,6 +7,7 @@ from typing import Any, Literal, Optional, Union, overload
from flask import Flask, current_app
from pydantic import ValidationError
from sqlalchemy.orm import sessionmaker
import contexts
from configs import dify_config
@ -22,6 +23,8 @@ from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerat
from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository import RepositoryFactory
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from extensions.ext_database import db
from factories import file_factory
from models import Account, App, EndUser, Workflow
@ -92,6 +95,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
mappings=files,
tenant_id=app_model.tenant_id,
config=file_extra_config,
strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False,
)
# convert to app config
@ -114,7 +118,10 @@ class WorkflowAppGenerator(BaseAppGenerator):
app_config=app_config,
file_upload_config=file_extra_config,
inputs=self._prepare_user_inputs(
user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
user_inputs=inputs,
variables=app_config.variables,
tenant_id=app_model.tenant_id,
strict_type_validation=True if invoke_from == InvokeFrom.SERVICE_API else False,
),
files=list(system_files),
user_id=user.id,
@ -129,12 +136,23 @@ class WorkflowAppGenerator(BaseAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
app_model=app_model,
workflow=workflow,
user=user,
application_generate_entity=application_generate_entity,
invoke_from=invoke_from,
workflow_node_execution_repository=workflow_node_execution_repository,
streaming=streaming,
workflow_thread_pool_id=workflow_thread_pool_id,
)
@ -147,6 +165,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
user: Union[Account, EndUser],
application_generate_entity: WorkflowAppGenerateEntity,
invoke_from: InvokeFrom,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
streaming: bool = True,
workflow_thread_pool_id: Optional[str] = None,
) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]:
@ -158,6 +177,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
:param user: account or end user
:param application_generate_entity: application generate entity
:param invoke_from: invoke from source
:param workflow_node_execution_repository: repository for workflow node execution
:param streaming: is stream
:param workflow_thread_pool_id: workflow thread pool id
"""
@ -189,6 +209,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
workflow=workflow,
queue_manager=queue_manager,
user=user,
workflow_node_execution_repository=workflow_node_execution_repository,
stream=streaming,
)
@ -241,12 +262,23 @@ class WorkflowAppGenerator(BaseAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
app_model=app_model,
workflow=workflow,
user=user,
invoke_from=InvokeFrom.DEBUGGER,
application_generate_entity=application_generate_entity,
workflow_node_execution_repository=workflow_node_execution_repository,
streaming=streaming,
)
@ -295,12 +327,23 @@ class WorkflowAppGenerator(BaseAppGenerator):
contexts.plugin_tool_providers.set({})
contexts.plugin_tool_providers_lock.set(threading.Lock())
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = RepositoryFactory.create_workflow_node_execution_repository(
params={
"tenant_id": application_generate_entity.app_config.tenant_id,
"app_id": application_generate_entity.app_config.app_id,
"session_factory": session_factory,
}
)
return self._generate(
app_model=app_model,
workflow=workflow,
user=user,
invoke_from=InvokeFrom.DEBUGGER,
application_generate_entity=application_generate_entity,
workflow_node_execution_repository=workflow_node_execution_repository,
streaming=streaming,
)
@ -357,6 +400,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
workflow: Workflow,
queue_manager: AppQueueManager,
user: Union[Account, EndUser],
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
stream: bool = False,
) -> Union[WorkflowAppBlockingResponse, Generator[WorkflowAppStreamResponse, None, None]]:
"""
@ -366,6 +410,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
:param queue_manager: queue manager
:param user: account or end user
:param stream: is stream
:param workflow_node_execution_repository: optional repository for workflow node execution
:return:
"""
# init generate task pipeline
@ -375,6 +420,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
queue_manager=queue_manager,
user=user,
stream=stream,
workflow_node_execution_repository=workflow_node_execution_repository,
)
try:

@ -54,6 +54,7 @@ from core.app.entities.task_entities import (
from core.app.task_pipeline.based_generate_task_pipeline import BasedGenerateTaskPipeline
from core.app.task_pipeline.workflow_cycle_manage import WorkflowCycleManage
from core.ops.ops_trace_manager import TraceQueueManager
from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from core.workflow.enums import SystemVariableKey
from extensions.ext_database import db
from models.account import Account
@ -82,6 +83,7 @@ class WorkflowAppGenerateTaskPipeline:
queue_manager: AppQueueManager,
user: Union[Account, EndUser],
stream: bool,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
) -> None:
self._base_task_pipeline = BasedGenerateTaskPipeline(
application_generate_entity=application_generate_entity,
@ -109,6 +111,7 @@ class WorkflowAppGenerateTaskPipeline:
SystemVariableKey.WORKFLOW_ID: workflow.id,
SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id,
},
workflow_node_execution_repository=workflow_node_execution_repository,
)
self._application_generate_entity = application_generate_entity
@ -279,10 +282,9 @@ class WorkflowAppGenerateTaskPipeline:
session=session, workflow_run_id=self._workflow_run_id
)
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_retried(
session=session, workflow_run=workflow_run, event=event
workflow_run=workflow_run, event=event
)
response = self._workflow_cycle_manager._workflow_node_retry_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
@ -300,10 +302,9 @@ class WorkflowAppGenerateTaskPipeline:
session=session, workflow_run_id=self._workflow_run_id
)
workflow_node_execution = self._workflow_cycle_manager._handle_node_execution_start(
session=session, workflow_run=workflow_run, event=event
workflow_run=workflow_run, event=event
)
node_start_response = self._workflow_cycle_manager._workflow_node_start_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
@ -313,17 +314,14 @@ class WorkflowAppGenerateTaskPipeline:
if node_start_response:
yield node_start_response
elif isinstance(event, QueueNodeSucceededEvent):
with Session(db.engine, expire_on_commit=False) as session:
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success(
session=session, event=event
)
node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
session.commit()
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_success(
event=event
)
node_success_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
if node_success_response:
yield node_success_response
@ -334,18 +332,14 @@ class WorkflowAppGenerateTaskPipeline:
| QueueNodeInLoopFailedEvent
| QueueNodeExceptionEvent,
):
with Session(db.engine, expire_on_commit=False) as session:
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
session=session,
event=event,
)
node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
session=session,
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
session.commit()
workflow_node_execution = self._workflow_cycle_manager._handle_workflow_node_execution_failed(
event=event,
)
node_failed_response = self._workflow_cycle_manager._workflow_node_finish_to_stream_response(
event=event,
task_id=self._application_generate_entity.task_id,
workflow_node_execution=workflow_node_execution,
)
if node_failed_response:
yield node_failed_response
@ -627,6 +621,7 @@ class WorkflowAppGenerateTaskPipeline:
workflow_app_log.created_by = self._user_id
session.add(workflow_app_log)
session.commit()
def _text_chunk_to_stream_response(
self, text: str, from_variable_selector: Optional[list[str]] = None

@ -264,8 +264,16 @@ class QueueMessageReplaceEvent(AppQueueEvent):
QueueMessageReplaceEvent entity
"""
class MessageReplaceReason(StrEnum):
"""
Reason for message replace event
"""
OUTPUT_MODERATION = "output_moderation"
event: QueueEvent = QueueEvent.MESSAGE_REPLACE
text: str
reason: str
class QueueRetrieverResourcesEvent(AppQueueEvent):

@ -148,6 +148,7 @@ class MessageReplaceStreamResponse(StreamResponse):
event: StreamEvent = StreamEvent.MESSAGE_REPLACE
answer: str
reason: str
class AgentThoughtStreamResponse(StreamResponse):

@ -126,12 +126,12 @@ class BasedGenerateTaskPipeline:
if self._output_moderation_handler:
self._output_moderation_handler.stop_thread()
completion = self._output_moderation_handler.moderation_completion(
completion, flagged = self._output_moderation_handler.moderation_completion(
completion=completion, public_event=False
)
self._output_moderation_handler = None
return completion
if flagged:
return completion
return None

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