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DI extension for FastAPIEX

Project description

fastapiex-di

Production-ready FastAPI extension for service registry and dependency injection.

Installation

uv add fastapiex-di

Quick Start

Use this exact structure from your project root:

base_dir/
├── .venv/
└── demo/
    ├── __init__.py
    ├── main.py
    └── services.py

demo/services.py:

from fastapiex.di import BaseService, Service


@Service("ping_service")
class PingService(BaseService):
    @classmethod
    async def create(cls) -> "PingService":
        return cls()

    async def ping(self) -> str:
        return "pong"

demo/main.py:

from fastapi import FastAPI
from fastapiex.di import Inject, install_di

app = FastAPI()
install_di(app, service_packages=["demo.services"])


@app.get("/ping")
async def ping(svc=Inject("ping_service")):
    return {"msg": await svc.ping()}

Run:

uv run uvicorn demo.main:app --reload

Then open http://127.0.0.1:8000/ping and expect:

{"msg":"pong"}

Notes:

  • service_packages=["demo.services"] must be a real import path, not a filesystem path.
  • Do not import demo.services in demo/main.py; let install_di(...) import it during startup.

Why Not Single-File

@Service and @ServiceDict run at import time. The registration capture window is opened during install_di(...) startup import scanning. If decorated services are imported before that window, startup fails with: No active app service registry capture.

Import Timing Rules

Do Don't
install_di(app, service_packages=["demo.services"]) from demo.services import PingService in demo/main.py
Keep decorated services under a dedicated module/package Put @Service classes in main.py
Let DI scan import service modules during startup Manually import decorated service modules in app bootstrap

Project Layout Contract

service_packages accepts Python import paths, not filesystem paths.

Examples:

  • Valid: service_packages=["demo.services"]
  • Valid: service_packages=["myapp.services"]
  • Invalid: service_packages=["demo/services.py"]
  • Invalid: service_packages=["./demo/services"]

Ideal App Layout

Example project structure that keeps DI wiring predictable:

myapp/
├── app/
│   ├── main.py
│   ├── core/
│   │   ├── settings.py
│   │   └── logging.py
│   ├── api/
│   │   ├── __init__.py
│   │   └── v1/
│   │       ├── __init__.py
│   │       └── users.py
│   └── services/
│       ├── __init__.py
│       ├── database.py
│       ├── cache.py
│       └── user_repo.py
└── pyproject.toml

app/main.py:

from fastapi import FastAPI
from fastapiex.di import install_di

app = FastAPI()
install_di(app, service_packages=["app.services"])

Guidelines:

  • Keep all @Service / @ServiceDict classes under one or more explicit packages (for example app.services).
  • Keep route handlers under app.api.*, and resolve dependencies via Inject(...) only.
  • Keep framework config (settings, logging, middleware wiring) under app.core.*.

Service Registration

Naming Conventions (Recommended)

  • Singleton services: use Service suffix (for example UserRepoService).
  • Transient services: use ServiceT suffix (for example UserRepoServiceT).
  • Generator/contextmanager-style services: use ServiceG suffix (for example UserRepoServiceG).

1. Singleton + eager

from fastapiex.di import BaseService, Service


@Service("app_config_service", eager=True)
class AppConfigService(BaseService):
    @classmethod
    async def create(cls) -> "AppConfigService":
        return cls()

eager=True only applies to singleton services. Transient services cannot be eager.

2. Transient service

from fastapiex.di import BaseService, Service


@Service("request_context_service_t", lifetime="transient")
class RequestContextServiceT(BaseService):
    @classmethod
    async def create(cls) -> "RequestContextServiceT":
        return cls()

3. exposed_type for type-based resolution

from typing import Protocol

from fastapiex.di import BaseService, Service


class UserRepo(Protocol):
    async def list_users(self) -> list[str]:
        ...


@Service("repo_service", exposed_type=UserRepo)
class UserRepoService(BaseService):
    @classmethod
    async def create(cls) -> "UserRepoService":
        return cls()

    async def list_users(self) -> list[str]:
        return ["alice", "bob"]

4. Anonymous service (type-only)

from fastapiex.di import BaseService, Service


class UserCache:
    pass


@Service
class UserCacheService(BaseService):
    @classmethod
    async def create(cls) -> UserCache:
        return UserCache()

5. ServiceDict expansion

from fastapiex.di import BaseService, ServiceDict


@ServiceDict("{}_db_service", dict={"main": {"dsn": "sqlite+aiosqlite:///main.db"}})
class DatabaseService(BaseService):
    @classmethod
    async def create(cls, dsn: str) -> "DatabaseService":
        instance = cls()
        instance.dsn = dsn
        return instance

Declaring Service-to-Service Dependencies

Use require(...) in create(...) defaults. The example below reuses UserRepo and UserCache defined above.

from fastapiex.di import BaseService, Service, require


@Service("user_query_service_t", lifetime="transient")
class UserQueryServiceT(BaseService):
    @classmethod
    async def create(
        cls,
        repo=require(UserRepo),
        cache=require(UserCache),
    ) -> "UserQueryServiceT":
        _ = repo, cache
        return cls()

Injecting Services in FastAPI Endpoints

Key-based

from fastapiex.di import Inject


@app.get("/users/by-key")
async def users_by_key(repo=Inject("repo_service")):
    return {"users": await repo.list_users()}

Type-based (only when exactly one provider exists)

@app.get("/users/by-type")
async def users_by_type(repo: UserRepo = Inject(UserRepo)):
    return {"users": await repo.list_users()}

Nested

@app.get("/nested")
async def nested(
    query_service: UserQueryServiceT = Inject(
        "user_query_service_t",
        repo=Inject("repo_service"),
        cache=Inject(UserCache),
    ),
):
    return {"ok": isinstance(query_service, UserQueryServiceT)}

Production Settings

install_di(...) options:

  • service_packages: package(s) to scan for decorated services.
  • strict (default True): fail startup on DI/registry errors.
  • allow_private_modules (default False): include modules with underscore segments.
  • auto_add_finalizer_middleware (default True): auto install transient cleanup middleware.
  • freeze_container_after_startup (default True): block runtime service registrations.
  • freeze_service_registry_after_startup (default False): freeze this app's scoped service registry after startup.
  • unfreeze_service_registry_on_shutdown (default True): unfreeze this app's registry when app exits.
  • eager_init_timeout_sec (optional): timeout for eager singleton initialization.

Recommended production defaults:

install_di(
    app,
    service_packages=["myapp.services"],
    strict=True,
    freeze_container_after_startup=True,
    freeze_service_registry_after_startup=True,
    eager_init_timeout_sec=30,
)

Safety and Worker Model

  • Container enforces single event-loop usage.
  • Container rejects cross-process reuse.
  • Registry maps container by current process/thread/event-loop context.
  • Runtime service registry is app-scoped, so freeze/unfreeze does not leak across apps.
  • Transient finalizers run after request completion.
  • Transient finalizers also run after WebSocket connection teardown.
  • Singleton teardown runs on shutdown in reverse order.

Supply-Chain Security

Install security tooling group:

uv sync --locked --no-default-groups --group security

Run checks:

./scripts/supply_chain_check.sh

Common Errors

  • Duplicate service registration for key: same key registered more than once.
  • No service registered for type: missing provider for type-based injection.
  • Multiple services registered for type: use key-based injection instead.
  • Detected circular service dependency: dependency graph has a cycle.
  • Cannot register services after container registrations are frozen: runtime registration attempted after startup.
  • No active app service registry capture: decorated service module was imported before install_di(...) startup import scanning. Fix:
    1. Move @Service/@ServiceDict classes into a dedicated module (for example demo/services.py).
    2. Set install_di(..., service_packages=["demo.services"]) to that module path.
    3. Remove early imports of that service module from main.py.

Public API

from fastapiex.di import (
    AppServiceRegistry,
    BaseService,
    Inject,
    Service,
    ServiceDict,
    ServiceContainer,
    ServiceLifetime,
    capture_service_registrations,
    install_di,
    require,
)

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