Austin/dify

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feat: add queue to celery task (#688 )

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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.example to .env
Generate a SECRET_KEY in the .env file.
```
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

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 -Q dataset,generation,mail, celery can do dataset importing and other async tasks.