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John Wang b0091452ca
feat: add bash before entrypoint.sh in Dockerfile (#592)
2 år sedan
..
constants Initial commit 2 år sedan
controllers feat: claude api support (#572) 2 år sedan
core fix: anthropic completion error in blocking mode (#591) 2 år sedan
docker Initial commit 2 år sedan
events feat: claude api support (#572) 2 år sedan
extensions feat: member invitation and activation (#535) 2 år sedan
libs Feature/use jwt in web (#533) 2 år sedan
migrations Feat/chat support voice input (#532) 2 år sedan
models feat: member invitation and activation (#535) 2 år sedan
services feat: claude api support (#572) 2 år sedan
tasks index add to db when dataset updated (#588) 2 år sedan
tests Initial commit 2 år sedan
.dockerignore Initial commit 2 år sedan
.env.example feat: member invitation and activation (#535) 2 år sedan
Dockerfile feat: add bash before entrypoint.sh in Dockerfile (#592) 2 år sedan
README.md doc: add annaconda info (#402) 2 år sedan
app.py fix: account check in runtime (#569) 2 år sedan
commands.py feat: claude api support (#572) 2 år sedan
config.py feat: bump 0.3.10 (#589) 2 år sedan
requirements.txt feat: claude api support (#572) 2 år sedan

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 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, celery can do dataset importing and other async tasks.