dify/api
2023-06-17 15:21:48 +08:00
..
constants
controllers fix encoding is none (#394) 2023-06-17 15:21:48 +08:00
core Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
docker
events
extensions
libs Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
migrations Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
models Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
services Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
tasks Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
tests
.dockerignore
.env.example Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
app.py Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
commands.py
config.py Feat/dataset notion import (#392) 2023-06-16 21:47:51 +08:00
Dockerfile
README.md
requirements.txt

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
    docker-compose -f docker-compose.middleware.yaml up -d
    cd ../api
    
  2. Copy .env.example to .env

  3. Generate a SECRET_KEY in the .env file.

    openssl rand -base64 42
    
  4. Install dependencies

    pip install -r requirements.txt
    
  5. Run migrate

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

    flask db upgrade
    
  6. Start backend:

    flask run --host 0.0.0.0 --port=5001 --debug
    
  7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...

  8. 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.