dify/api
2024-01-21 12:22:59 +08:00
..
.vscode
constants
controllers feat: support re-invite email. (#2107) 2024-01-20 22:28:41 +08:00
core feat: support legacy doc (#2100) 2024-01-20 22:21:51 +08:00
docker
events fix: free quota type apply button missing (#2069) 2024-01-17 15:02:27 +08:00
extensions
fields
libs feat: service api add llm usage (#2051) 2024-01-17 22:39:47 +08:00
migrations
models fix: saving error in empty dataset (#2098) 2024-01-19 20:12:04 +08:00
schedule
services feat: support re-invite email. (#2107) 2024-01-20 22:28:41 +08:00
tasks fix: invite email template languages constant var (#2111) 2024-01-21 12:22:59 +08:00
templates
tests
.dockerignore
.env.example feat: remove deprecated envs (#2078) 2024-01-18 14:44:37 +08:00
app.py
commands.py
config.py bump version to 0.4.9 (#2103) 2024-01-19 22:25:23 +08:00
Dockerfile fix: skip linking /etc/localtime file first in api docker image (#2099) 2024-01-19 21:06:26 +08:00
README.md
requirements.txt fix: dependencies security problems (#2040) 2024-01-15 19:26:08 +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.