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Mingming Zhu 34b9fbab48
Mcp support resource discovery (#24223)
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.idea fix nltk averaged_perceptron_tagger download and fix score limit is none (#7582) pirms 1 gada
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configs feat: Implements periodic deletion of workflow run logs that exceed t… (#23881) pirms 2 mēnešiem
constants fix video and audio extension, keep consistent with the web page. (#23287) pirms 3 mēnešiem
contexts fix: Copy request context and current user in app generators. (#20240) pirms 5 mēnešiem
controllers Feat: Education (#24208) pirms 2 mēnešiem
core Mcp support resource discovery (#24223) pirms 2 mēnešiem
docker feat: Add an asynchronous repository to improve workflow performance (#20050) pirms 2 mēnešiem
events Update mypy.ini (#24014) pirms 2 mēnešiem
extensions feat: Implements periodic deletion of workflow run logs that exceed t… (#23881) pirms 2 mēnešiem
factories fix: mime_type could be None (#23880) pirms 2 mēnešiem
fields fix: fetchAppWithTags may return empty when apps is over 100 (#23350) pirms 3 mēnešiem
libs fix: resolve Windows path separator issue in Huawei OBS operations (#23475) pirms 2 mēnešiem
migrations Feat/improved mcp timeout configs (#23605) pirms 2 mēnešiem
models feat: integrate flask-orjson for improved JSON serialization performance (#23935) pirms 2 mēnešiem
repositories chore: remove debug log statements from DifyAPIRepositoryFactory (#23734) pirms 2 mēnešiem
schedule try ast-grep (#24149) pirms 2 mēnešiem
services fix: dataset doc-form compatible (#24177) pirms 2 mēnešiem
tasks Feat: Education (#24208) pirms 2 mēnešiem
templates Feat: add notification for change email completed (#22812) pirms 3 mēnešiem
tests feature: add test containers base tests for saved message service (#24259) pirms 2 mēnešiem
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.env.example feat: Implements periodic deletion of workflow run logs that exceed t… (#23881) pirms 2 mēnešiem
.ruff.toml make logging not use f-str, change others to f-str (#22882) pirms 3 mēnešiem
Dockerfile chore: update uv to 0.8.9 (#23833) pirms 2 mēnešiem
README.md docs: format all md files (#24195) pirms 2 mēnešiem
app.py chore: avoid repeated type ignore noqa by adding flask_restful and flask_login in mypy import exclusions (#19224) pirms 6 mēnešiem
app_factory.py feat: integrate flask-orjson for improved JSON serialization performance (#23935) pirms 2 mēnešiem
commands.py feat(api): auto-delete WorkflowDraftVariable when app is deleted (#23737) pirms 2 mēnešiem
dify_app.py refactor: assembling the app features in modular way (#9129) pirms 11 mēnešiem
mypy.ini Update mypy.ini (#24014) pirms 2 mēnešiem
pyproject.toml Bump pyobvector to 0.2.15 (#24120) pirms 2 mēnešiem
pytest.ini Refactor/remove db from cycle manager (#20455) pirms 5 mēnešiem
uv.lock add tyck tool (currently ignore the error) (#22592) pirms 2 mēnešiem

README.md

Dify Backend API

Usage

[!IMPORTANT]

In the v1.3.0 release, poetry has been replaced with uv as the package manager for Dify API backend service.

  1. Start the docker-compose stack

The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using docker-compose.

   cd ../docker
   cp middleware.env.example middleware.env
   # change the profile to other vector database if you are not using weaviate
   docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
   cd ../api
  1. Copy .env.example to .env
   cp .env.example .env
  1. Generate a SECRET_KEY in the .env file.

bash for Linux

   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env

bash for Mac

   secret_key=$(openssl rand -base64 42)
   sed -i '' "/^SECRET_KEY=/c\\
   SECRET_KEY=${secret_key}" .env
  1. Create environment.

Dify API service uses UV to manage dependencies. First, you need to add the uv package manager, if you don’t have it already.

   pip install uv
   # Or on macOS
   brew install uv
  1. Install dependencies
   uv sync --dev
  1. Run migrate

Before the first launch, migrate the database to the latest version.

   uv run flask db upgrade
  1. Start backend
   uv run flask run --host 0.0.0.0 --port=5001 --debug
  1. Start Dify web service.

  2. Setup your application by visiting http://localhost:3000.

  3. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.

uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage

Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:

uv run celery -A app.celery beat

Testing

  1. Install dependencies for both the backend and the test environment
   uv sync --dev
  1. Run the tests locally with mocked system environment variables in tool.pytest_env section in pyproject.toml
   uv run -P api bash dev/pytest/pytest_all_tests.sh