dify/api
Jyong b5953039de
recreate qdrant vector (#1049)
Co-authored-by: jyong <jyong@dify.ai>
2023-08-29 15:00:36 +08:00
..
constants Initial commit 2023-05-15 08:51:32 +08:00
controllers Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
core add qdrant migration (#1046) 2023-08-29 10:37:04 +08:00
docker feat: add queue to celery task (#688) 2023-07-31 13:13:08 +08:00
events Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
extensions feat: server multi models support (#799) 2023-08-12 00:57:00 +08:00
libs fix: universal chat when default model invalid (#905) 2023-08-18 16:20:42 +08:00
migrations Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
models Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
services Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
tasks Fix/ignore economy dataset (#1043) 2023-08-29 03:37:45 +08:00
tests feat: hf inference endpoint stream support (#1028) 2023-08-26 19:48:34 +08:00
.dockerignore build: fix .dockerignore file (#800) 2023-08-11 18:19:44 +08:00
.env.example feat: claude paid optimize (#890) 2023-08-17 16:56:20 +08:00
app.py feat: server multi models support (#799) 2023-08-12 00:57:00 +08:00
commands.py recreate qdrant vector (#1049) 2023-08-29 15:00:36 +08:00
config.py feat: bump version to 0.3.18 (#1000) 2023-08-24 18:13:18 +08:00
Dockerfile fix: web reader tool missing nodejs (#932) 2023-08-21 11:26:11 +08:00
README.md Feature/fix disable site (#825) 2023-08-13 17:32:23 +08:00
requirements.txt fix: safetensor arm complie error (#996) 2023-08-24 17:38:10 +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 -Q dataset,generation,mail, celery can do dataset importing and other async tasks.

  6. Start frontend:

    docker run -it -d --platform linux/amd64 -p 3000:3000 -e EDITION=SELF_HOSTED -e CONSOLE_URL=http://127.0.0.1:5000 --name web-self-hosted langgenius/dify-web:latest
    

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