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api

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Name		Name	Last commit message	Last commit date
parent directory ..
.vscode		.vscode
constants		constants
controllers		controllers
core		core
docker		docker
events		events
extensions		extensions
fields		fields
libs		libs
migrations		migrations
models		models
schedule		schedule
services		services
tasks		tasks
templates		templates
tests		tests
.dockerignore		.dockerignore
.env.example		.env.example
Dockerfile		Dockerfile
README.md		README.md
app.py		app.py
commands.py		commands.py
config.py		config.py
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt

README.md

Dify Backend API

Usage

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
```
Copy .env.example to .env

Generate a SECRET_KEY in the .env file.

sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env

3.5 If you use Anaconda, create a new environment and activate it

conda create --name dify python=3.10
conda activate dify

Install dependencies
```
pip install -r requirements.txt
```
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
```

Start backend:

flask run --host 0.0.0.0 --port=5001 --debug

Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
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.