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.idea 7ae728a9a3 fix nltk averaged_perceptron_tagger download and fix score limit is none (#7582) 8 maanden geleden
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configs dacd457478 feat: add workflow parallel depth limit configuration (#11460) 4 maanden geleden
constants 36cb25b341 fix: support mdx files close #11557 (#11565) 4 maanden geleden
contexts e61752bd3a feat/enhance the multi-modal support (#8818) 6 maanden geleden
controllers 0b06235527 fix: add RemoteFileUploadError for better error handling in remote fi… (#11933) 4 maanden geleden
core a227af3664 fix(code_node): update type hints for string and number checks in Cod… (#11936) 4 maanden geleden
docker 8d4bb9b40d feat: integrate opendal storage (#11508) 4 maanden geleden
events 6c8e208ef3 chore: bump minimum supported Python version to 3.11 (#10386) 5 maanden geleden
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fields 7abc7fa573 Feat: Retry on node execution errors (#11871) 4 maanden geleden
libs 3599751f93 chore(db): use a better way to export models and remove unused table (#11838) 4 maanden geleden
migrations 52201d95b1 chore: add retry index migration (#11887) 4 maanden geleden
models 7abc7fa573 Feat: Retry on node execution errors (#11871) 4 maanden geleden
schedule 00ac7edeb3 improve message clean logic (#11487) 4 maanden geleden
services 606aadb891 refactor: update builtin tool provider methods to use session management (#11938) 4 maanden geleden
tasks 1a7c213405 fix: ExternalDatasetService.process_external_api wrong args (#11586) 4 maanden geleden
templates 4fd2743efa Feat/new login (#8120) 6 maanden geleden
tests dacd457478 feat: add workflow parallel depth limit configuration (#11460) 4 maanden geleden
.dockerignore 27f0ae8416 build: support Poetry for depencencies tool in api's Dockerfile (#5105) 10 maanden geleden
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Dockerfile ef204817ae chore(api/Dockerfile): Bump perl to 0.40.0-8 (#11234) 4 maanden geleden
README.md da601f0bef chore: update base image to Python 3.12 in Dockerfile (#10358) 5 maanden geleden
app.py e86756cb39 feat(app_factory): speed up api startup (#11762) 4 maanden geleden
app_factory.py 99f40a9682 feat: full support for opendal and sync configurations between .env and docker-compose (#11754) 4 maanden geleden
commands.py 5669cac16d fix: some typos using typos (#11374) 4 maanden geleden
dify_app.py 9b46b02717 refactor: assembling the app features in modular way (#9129) 4 maanden geleden
poetry.lock efa8eb379f fix: memory leak by pypdfium2 close(maybe) #11510 (#11700) 4 maanden geleden
poetry.toml f62f71a81a build: initial support for poetry build tool (#4513) 10 maanden geleden
pyproject.toml efa8eb379f fix: memory leak by pypdfium2 close(maybe) #11510 (#11700) 4 maanden geleden
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README.md

Dify Backend API

Usage

[!IMPORTANT] In the v0.6.12 release, we deprecated pip as the package management tool for Dify API Backend service and replaced it with poetry.

  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
   cp middleware.env.example middleware.env
   # change the profile to other vector database if you are not using weaviate
   docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
   cd ../api
  1. Copy .env.example to .env
   cp .env.example .env 
  1. Generate a SECRET_KEY in the .env file.

bash for Linux

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

bash for Mac

   secret_key=$(openssl rand -base64 42)
   sed -i '' "/^SECRET_KEY=/c\\
   SECRET_KEY=${secret_key}" .env
  1. Create environment.

Dify API service uses Poetry to manage dependencies. You can execute poetry shell to activate the environment.

  1. Install dependencies
   poetry env use 3.12
   poetry install
  1. Run migrate

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

   poetry run python -m flask db upgrade
  1. Start backend
   poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
  1. Start Dify web service.
  2. Setup your application by visiting http://localhost:3000...
  3. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
   poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion

Testing

  1. Install dependencies for both the backend and the test environment
   poetry install -C api --with dev
  1. Run the tests locally with mocked system environment variables in tool.pytest_env section in pyproject.toml
   poetry run -C api bash dev/pytest/pytest_all_tests.sh