crazywoola cc7b5d128b fix: doc issue in #757 (#767) hai 1 ano
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controllers cc7b5d128b fix: doc issue in #757 (#767) hai 1 ano
core dfe10e9dfe fix: generate_more_like_this function issue (#722) hai 1 ano
docker 0c18cab111 feat: add queue to celery task (#688) hai 1 ano
events 082f8b17ab Feat/milvus support (#671) hai 1 ano
extensions cd51d3323b feat: member invitation and activation (#535) hai 1 ano
libs d979955c8a feat: optimize current time (#661) hai 1 ano
migrations cf93d8d6e2 Feat: Q&A format segmentation support (#668) hai 1 ano
models 396197e881 fix: not annotation error in log (#686) hai 1 ano
services 082f8b17ab Feat/milvus support (#671) hai 1 ano
tasks 0c18cab111 feat: add queue to celery task (#688) hai 1 ano
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.dockerignore db896255d6 Initial commit hai 1 ano
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README.md 51554361fc refactor: Added project name to Docker Compose command (#753) hai 1 ano
app.py 4fdb37771a feat: universal chat in explore (#649) hai 1 ano
commands.py 52c84da051 add clean unused dataset command (#609) hai 1 ano
config.py a4678845dd feat: bump version to 0.3.12 (#674) hai 1 ano
requirements.txt 491d29cc87 feat: optimize multi platform image build (#754) hai 1 ano

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
  1. Copy .env.example to .env
  2. 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 bash pip install -r requirements.txt
  2. Run migrate

Before the first launch, migrate the database to the latest version.

   flask db upgrade
  1. Start backend: bash flask run --host 0.0.0.0 --port=5001 --debug
  2. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
  3. 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.