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| .. | ||
| constants | ||
| controllers | ||
| core | ||
| docker | ||
| events | ||
| extensions | ||
| libs | ||
| migrations | ||
| models | ||
| services | ||
| tasks | ||
| tests | ||
| .dockerignore | ||
| .env.example | ||
| app.py | ||
| commands.py | ||
| config.py | ||
| Dockerfile | ||
| README.md | ||
| requirements.txt | ||
Dify Backend API
Usage
-
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 docker-compose -f docker-compose.middleware.yaml up -d cd ../api -
Copy
.env.exampleto.env -
Generate a
SECRET_KEYin the.envfile.openssl rand -base64 42
3.5 If you use annaconda, create a new environment and activate it
conda create --name dify python=3.10
conda activate dify
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Install dependencies
pip install -r requirements.txt -
Run migrate
Before the first launch, migrate the database to the latest version.
flask db upgrade -
Start backend:
flask run --host 0.0.0.0 --port=5001 --debug -
Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
-
If you need to debug local async processing, you can run
celery -A app.celery worker, celery can do dataset importing and other async tasks.