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Charlie.Wei 64642fabc4
Parse base64 eml file (#1796) 
Co-authored-by: luowei <glpat-EjySCyNjWiLqAED-YmwM>
Co-authored-by: crazywoola <427733928@qq.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
2023-12-21 13:18:58 +08:00
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services feat: add email template for invite new user in workspace (#1810) 2023-12-21 11:09:41 +08:00
tasks feat: add email template for invite new user in workspace (#1810) 2023-12-21 11:09:41 +08:00
templates fix: mail link color (#1812) 2023-12-21 12:44:08 +08:00
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requirements.txt Parse base64 eml file (#1796) 2023-12-21 13:18:58 +08:00

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

    ⚠️ 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.