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gcgj-dify-1.7.0/api
History
takatost 55b24c373f
Revert "Fix/disable site when change code" (#805) 		3 years ago
..
constants Initial commit 3 years ago
controllers Revert "Fix/disable site when change code" (#805) 3 years ago
core feat: server multi models support (#799) 3 years ago
docker feat: add queue to celery task (#688) 3 years ago
events feat: server multi models support (#799) 3 years ago
extensions feat: server multi models support (#799) 3 years ago
libs feat: server multi models support (#799) 3 years ago
migrations feat: server multi models support (#799) 3 years ago
models feat: server multi models support (#799) 3 years ago
services feat: server multi models support (#799) 3 years ago
tasks feat: add queue to celery task (#688) 3 years ago
tests feat: server multi models support (#799) 3 years ago
.dockerignore build: fix .dockerignore file (#800) 3 years ago
.env.example feat: server multi models support (#799) 3 years ago
Dockerfile feat: optimize multi platform image build (#754) 3 years ago
README.md refactor: Added project name to Docker Compose command (#753) 3 years ago
app.py feat: server multi models support (#799) 3 years ago
commands.py feat: server multi models support (#799) 3 years ago
config.py feat: server multi models support (#799) 3 years ago
requirements.txt feat: server multi models support (#799) 3 years ago

README.md

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

  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.