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gcgj-dify-1.7.0/api
History
Columbus eeb2c28526
Fix the issue of decoding a non-UTF-8 encoded file using UTF-8 encodi… (#378) 		3 years ago
..
constants Initial commit 3 years ago
controllers Fix the issue of decoding a non-UTF-8 encoded file using UTF-8 encodi… (#378) 3 years ago
core feat: add gpt-3.5-turbo-16k support and update openai gpt-3.5-turbo & Embedding Ada v2 unit price (#358) 3 years ago
docker Initial commit 3 years ago
events Initial commit 3 years ago
extensions feat: add redis ssl support (#65) 3 years ago
libs feat: fix json end with `` (#285) 3 years ago
migrations feat: add last active at for accounts (#375) 3 years ago
models feat: add last active at for accounts (#375) 3 years ago
services Fix: the bug that allows regular users to add unregistered users to the workspace. (#328) 3 years ago
tasks delete segment not commit (#309) 3 years ago
tests Initial commit 3 years ago
.dockerignore Initial commit 3 years ago
.env.example feat: add WEAVIATE_BATCH_SIZE (#349) 3 years ago
Dockerfile Initial commit 3 years ago
README.md feat: add celery document (#118) 3 years ago
app.py feat: add last active at for accounts (#375) 3 years ago
commands.py feat: add reset-encrypt-key-pair cmd for self hosted mode (#325) 3 years ago
config.py feat: bump version to 0.3.3 (#359) 3 years ago
requirements.txt feat: support xlsx file parsing (#304) 3 years ago

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

  2. Copy .env.example to .env

  3. Generate a SECRET_KEY in the .env file.

    openssl rand -base64 42

  4. Install dependencies

    pip install -r requirements.txt

  5. Run migrate

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

    flask db upgrade

  6. Start backend:

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

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

  8. 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.