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advanced pythonic dependency injection lib, with ergonomic apis, without boilplate code, works out of the box.

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raceychan/ididi

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Ididi

Genius simplicity, unmatched power

ididi is 100% test covered and strictly typed.

codecov PyPI version Python Version License Downloads


Documentation: https://raceychan.github.io/ididi

Source Code: https://github.com/raceychan/ididi


Install

ididi requires python >= 3.9

pip install ididi

To view viusal dependency graph, install graphviz

pip install ididi[graphviz]

Features

  • No / minial changes to your existing code
  • Smart injection based on type hints with strong support to typing module.
  • Advanced scope support
  • Formated and detail-rich error messages
  • Highly performant, on part with nodejs and go

Usage

Quick Start

from typing import AsyncGenerator
from ididi import use, entry

async def conn_factory(engine: AsyncEngine) -> AsyncGenerator[AsyncConnection, None]:
    async with engine.begin() as conn:
        yield conn

class UnitOfWork:
    def __init__(self, conn: AsyncConnection=use(conn_factory)):
        self._conn = conn

@entry
async def main(command: CreateUser, uow: UnitOfWork):
    await uow.execute(build_query(command))

# note uow is automatically injected here
await main(CreateUser(name='user'))

Dependency factory

assign which factory method to use with ididi.use

from ididi import use
from datetime import datetime, timezone

def utc_factory() -> datetime:
    return datetime.now(timezone.utc)

UTC_DATETIME = Annotated[datetime, use(utc_factory)]

class Timer:
    def __init__(self, time: UTC_DATETIME):
        self.time = time

tmer = ididi.resolve(Timer)
assert tmer.time.tzinfo == timezone.utc

Tip

DependencyGraph.node accepts a wide arrange of types, such as dependent class, sync/async facotry, sync/async resource factory, with typing support.

Scope

Using Scope to manage resources

  • Infinite number of nested scope
  • Parent scope can be accssed by its child scopes(within the same context)
  • Resources will be shared across dependents only withint the same scope
  • Resources will be automatically closed and destroyed when the scope is exited.
  • Classes that implment contextlib.AbstractContextManager or contextlib.AbstractAsyncContextManager are also considered to be resources and can/should be resolved within scope.
  • Scopes are separated by context

Tip

If you have two call stack of a1 -> b1 and a2 -> b2, Here a1 and a2 are two calls to the same function a, then, in b1, you can only access scope created by the a1, not a2.

This is particularly useful when you try to separate resources by route, endpoint, request, etc.

Async scope

@dg.node
def get_resource() -> ty.Generator[Resource, None, None]:
    res = Resource()
    with res:
        yield res

@dg.node
async def get_asyncresource() -> ty.Generator[AsyncResource, None, None]:
    res = AsyncResource()
    async with res:
        yield res


with dg.scope() as scope:
    resource = scope.resolve(Resource)

# For async generator
async with dg.scope() as scope:
    resource = await scope.resolve(AsyncResource)

Tip

dg.node will leave your class/factory untouched, i.e., you can use it just like it is not decorated.

Contexted Scope

You can use dg.use_scope to retrive most recent scope, context-wise, this allows your to have access the scope without passing it around, e.g.

async def service_factory():
    async with dg.scope() as scope:
        service = scope.resolve(Service)
        yield service

@app.get("users")
async def get_user(service: Service = Depends(service_factory))
    await service.create_user(...)

Then somewhere deep in your service.create_user call stack

async def create_and_publish():
    uow = dg.use_scope().resolve(UnitOfWork)
    async with uow.trans():
        user_repo.add_user(user)
        event_store.add(user_created_event)

Here dg.use_scope() would return the same scope you created in your service_factory.

Named Scope

You can create infinite level of scopes by assigning hashable name to scopes

# at the top most entry of a request
async with dg.scope(request_id) as scope:
    ...

now scope with name request_id is accessible everywhere within the request context

request_scope = dg.use_scope(request_id)

Note

Two or more scopes with the same name would follow most recent rule.

Nested Nmaed Scope

async with dg.scope(app_name) as app_scope:
    async with dg.scope(router_name) as router_scope:
        async with dg.scope(endpoint_name) as endpoint_scope:
            async with dg.scope(user_id) as user_scope:
                async with dg.scope(request_id) as request_scope:
                    ...

For any functions called within the request_scope, you can get the most recent scope with dg.use_scope(), or its parent scopes, i.e. dg.use_scope(app_name) to get app_scope.

More

For more detailed information, check out Documentation

  • Tutorial

  • Usage of factory

  • Visualize the dependency graph(beta)

  • Circular Dependency Detection

  • Lazy Dependency(Beta)

  • Error context

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advanced pythonic dependency injection lib, with ergonomic apis, without boilplate code, works out of the box.

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