dify/api
2024-03-08 18:44:49 +08:00
..
.vscode
constants fix: wrong default model parameters when creating app (#2623) 2024-02-29 12:43:07 +08:00
controllers Feat/model as tool (#2744) 2024-03-08 15:22:55 +08:00
core enhance: custom tool timeout (#2754) 2024-03-08 15:26:08 +08:00
docker
events
extensions feat: support HTTP response compression in api server (#2680) 2024-03-05 14:45:22 +08:00
fields
libs
migrations enhancement: introduce Ruff for Python linter for reordering and removing unused imports with automated pre-commit and sytle check (#2366) 2024-02-06 13:21:13 +08:00
models
schedule Feat/dify rag (#2528) 2024-02-22 23:31:57 +08:00
services fix: valid password on reset-password page (#2753) 2024-03-08 18:44:49 +08:00
tasks
templates fix: email template style (#1914) 2024-01-04 16:53:11 +08:00
tests
.dockerignore
.env.example
app.py
commands.py Feat/add annotation migrate (#2675) 2024-03-04 17:22:06 +08:00
config.py
Dockerfile Add gmpy2 dependencies packages (#2216) 2024-01-26 03:09:24 +08:00
pyproject.toml
README.md
requirements.txt Use python-docx to extract docx files (#2654) 2024-03-07 18:24:55 +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.