bntcloudcom/dify-api repository overview

⁠Dify Backend API

⁠Usage

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
   

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2. Copy .env.example to .env

   cp .env.example .env 
   

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3. Generate a SECRET_KEY in the .env file.

   bash for Linux

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

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   bash for Mac

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

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4. 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
   

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5. Install dependencies

   uv sync --dev
   

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6. Run migrate

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

   uv run flask db upgrade
   

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7. Start backend

   uv run flask run --host 0.0.0.0 --port=5001 --debug
   

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8. Start Dify web⁠ service.

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.

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

⁠Testing

1. Install dependencies for both the backend and the test environment

   uv sync --dev
   

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2. 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
   

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