Dependency Injector is a Python dependency injection framework. It was designed to be unified, developer-friendly tool for managing any kind of Python objects and their dependencies in formal, pretty way.
Dependency Injector framework key features are:
- Easy, smart, pythonic style.
- Obvious, clear structure.
- Extensibility and flexibility.
- Memory efficiency.
- Thread safety.
- Documentation.
- Semantic versioning.
PyPi | |
Python versions and implementations | |
Builds and tests coverage |
Dependency Injector library is available on PyPi:
pip install dependency_injector
"""Dependency Injector example."""
import sys
import sqlite3
from boto.s3.connection import S3Connection
from dependency_injector import catalogs
from dependency_injector import providers
from dependency_injector import injections
from example import services
class Platform(catalogs.DeclarativeCatalog):
"""Catalog of platform service providers."""
database = providers.Singleton(sqlite3.connect, ':memory:')
s3 = providers.Singleton(S3Connection,
aws_access_key_id='KEY',
aws_secret_access_key='SECRET')
class Services(catalogs.DeclarativeCatalog):
"""Catalog of business service providers."""
users = providers.Factory(services.Users,
db=Platform.database)
photos = providers.Factory(services.Photos,
db=Platform.database,
s3=Platform.s3)
auth = providers.Factory(services.Auth,
db=Platform.database,
token_ttl=3600)
@injections.inject(users_service=Services.users)
@injections.inject(auth_service=Services.auth)
@injections.inject(photos_service=Services.photos)
def main(argv, users_service, auth_service, photos_service):
"""Main function."""
login, password, photo_path = argv[1:]
user = users_service.get_user(login)
auth_service.authenticate(user, password)
photos_service.upload_photo(user['id'], photo_path)
if __name__ == '__main__':
main(sys.argv)
You can get more Dependency Injector examples in /examples
directory on GitHub:
Dependency Injector documentation is hosted on ReadTheDocs:
Feel free to post questions, bugs, feature requests, proposals etc. on Dependency Injector GitHub Issues:
https://github.com/ets-labs/python-dependency-injector/issues
Your feedback is quite important!