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56 lines
1.5 KiB
Markdown
56 lines
1.5 KiB
Markdown
# Dify Backend API
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## Usage
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1. Start the docker-compose stack
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The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
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```bash
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cd ../docker
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docker-compose -f docker-compose.middleware.yaml -p dify up -d
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cd ../api
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```
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2. Copy `.env.example` to `.env`
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3. Generate a `SECRET_KEY` in the `.env` file.
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```bash
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sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
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```
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3.5 If you use Anaconda, create a new environment and activate it
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```bash
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conda create --name dify python=3.10
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conda activate dify
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```
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4. Install dependencies
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```bash
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pip install -r requirements.txt
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```
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5. Run migrate
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Before the first launch, migrate the database to the latest version.
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```bash
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flask db upgrade
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```
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⚠️ If you encounter problems with jieba, for example
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```
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> flask db upgrade
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Error: While importing 'app', an ImportError was raised:
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```
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Please run the following command instead.
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```
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pip install -r requirements.txt --upgrade --force-reinstall
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```
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6. Start backend:
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```bash
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flask run --host 0.0.0.0 --port=5001 --debug
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```
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7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
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8. 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.
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