dify/api
2023-11-29 13:26:35 +08:00
..
.vscode
constants
controllers fix: old webapp url still valid (#1643) 2023-11-28 20:04:46 +08:00
core fix #1637 (#1638) 2023-11-28 20:05:50 +08:00
docker
events
extensions
fields fix score_threshold_enabled name (#1626) 2023-11-27 15:34:45 +08:00
libs
migrations
models fix score_threshold_enabled name (#1626) 2023-11-27 15:34:45 +08:00
services fix score_threshold_enabled name (#1626) 2023-11-27 15:34:45 +08:00
tasks
tests fix: provider chatglm tests error (#1618) 2023-11-25 16:04:36 +08:00
.dockerignore
.env.example
app.py fix(api): patch Windows timezone set (#1575) 2023-11-21 11:49:07 +08:00
commands.py
config.py feat: bump version to 0.3.32 (#1620) 2023-11-25 16:43:31 +08:00
Dockerfile
README.md Remove legacy docker startup docs in frontend (#1645) 2023-11-29 13:26:35 +08:00
requirements.txt feat: xinference rerank model support (#1615) 2023-11-25 03:56:00 +08:00

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 -p dify up -d
    cd ../api
    
  2. Copy .env.example to .env

  3. 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
  1. Install dependencies

    pip install -r requirements.txt
    
  2. Run migrate

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

    flask db upgrade
    

    ⚠️ If you encounter problems with jieba, for example

    > flask db upgrade
    Error: While importing 'app', an ImportError was raised:
    

    Please run the following command instead.

    pip install -r requirements.txt --upgrade --force-reinstall
    
  3. Start backend:

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

  5. If you need to debug local async processing, you can run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail, celery can do dataset importing and other async tasks.