dify/api
2023-09-28 14:39:13 +08:00
..
constants feat: support gpt-3.5-turbo-instruct model (#1195) 2023-09-19 02:05:04 +08:00
controllers Fix/notion sync (#1258) 2023-09-28 14:39:13 +08:00
core fix: db session not commit before long llm call running (#1251) 2023-09-27 21:40:26 +08:00
docker feat: add queue to celery task (#688) 2023-07-31 13:13:08 +08:00
events Fix/qdrant data issue (#1203) 2023-09-22 14:21:26 +08:00
extensions Feat/api jwt (#1212) 2023-09-25 12:49:16 +08:00
fields Feat/dataset service api (#1245) 2023-09-27 16:06:32 +08:00
libs fix: universal chat when default model invalid (#905) 2023-08-18 16:20:42 +08:00
migrations Feat/dataset service api (#1245) 2023-09-27 16:06:32 +08:00
models Feat/dataset service api (#1245) 2023-09-27 16:06:32 +08:00
services Feat/dataset service api (#1245) 2023-09-27 16:06:32 +08:00
tasks Fix/qdrant data issue (#1203) 2023-09-22 14:21:26 +08:00
tests Feat/huggingface embedding support (#1211) 2023-09-22 13:59:02 +08:00
.dockerignore build: fix .dockerignore file (#800) 2023-08-11 18:19:44 +08:00
.env.example Feat/api jwt (#1212) 2023-09-25 12:49:16 +08:00
app.py Feat/api jwt (#1212) 2023-09-25 12:49:16 +08:00
commands.py feat: support binding context var (#1227) 2023-09-27 14:53:22 +08:00
config.py Feat/api jwt (#1212) 2023-09-25 12:49:16 +08:00
Dockerfile fix: TRANSFORMERS_OFFLINE orders in Dockerfile (#1144) 2023-09-10 12:26:13 +08:00
README.md feat: optimize celery start cmd (#1129) 2023-09-09 13:48:29 +08:00
requirements.txt Feat/huggingface embedding support (#1211) 2023-09-22 13:59:02 +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.

  6. Start frontend

    You can start the frontend by running npm install && npm run dev in web/ folder, or you can use docker to start the frontend, for example:

    docker run -it -d --platform linux/amd64 -p 3000:3000 -e EDITION=SELF_HOSTED -e CONSOLE_URL=http://127.0.0.1:5001 --name web-self-hosted langgenius/dify-web:latest
    

    This will start a dify frontend, now you are all set, happy coding!