macss-modular-api 0.4.5

Use-case-centric toolkit for building modular APIs with Starlette. Define UseCase classes (input → validate → execute → output), connect them to HTTP routes, and expose OpenAPI documentation automatically.

modular-api

Use-case-centric toolkit for building modular APIs with Starlette.
Define UseCase classes (input → validate → execute → output), connect them to HTTP routes, and get automatic OpenAPI documentation.

Also available in Dart: modular_api · TypeScript: @macss/modular-api

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Quick start

from modular_api import ModularApi, ModuleBuilder

# ─── Module builder (separate file in real projects) ──────────
def build_greetings_module(m: ModuleBuilder) -> None:
    m.usecase("hello", HelloWorld)

# ─── Server ───────────────────────────────────────────────────
api = ModularApi(base_path="/api")

api.module("greetings", build_greetings_module)

api.serve(port=8080)

curl -X POST http://localhost:8080/api/greetings/hello \
  -H "Content-Type: application/json" \
  -d '{"name":"World"}'

{ "message": "Hello, World!" }

Docs → http://localhost:8080/docs
Health → http://localhost:8080/health
OpenAPI JSON → http://localhost:8080/openapi.json (also /openapi.yaml)
Metrics → http://localhost:8080/metrics (opt-in)

See example/example.py for the full implementation including Input, Output, UseCase with validate(), and the builder.

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Features

• UseCase[I, O] — pure business logic, no HTTP concerns
• Input / Output — DTOs with automatic OpenAPI schema generation via Pydantic Field()
• Output.status_code — custom HTTP status codes per response
• UseCaseException — structured error handling (status_code, message, error_code, details)
• ModularApi + ModuleBuilder — module registration and routing
• Constructor-based unit testing with fake dependency injection
• cors_middleware — built-in CORS support
• Scalar docs at /docs — auto-generated from registered use cases
• OpenAPI spec at /openapi.json and /openapi.yaml — raw spec download
• Health check at GET /health — IETF Health Check Response Format
• Prometheus metrics at GET /metrics — Prometheus exposition format
• Structured JSON logging — Loki/Grafana compatible, request-scoped with trace_id
• All endpoints default to POST (configurable per use case)
• Full type annotations with py.typed marker (PEP 561)

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Installation

pip install modular-api

With Uvicorn for api.serve():

pip install modular-api[serve]

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Error handling

async def execute(self) -> FoundUserOutput:
    user = await repository.find_by_id(self.input.user_id)
    if not user:
        raise UseCaseException(
            status_code=404,
            message="User not found",
            error_code="USER_NOT_FOUND",
        )
    return FoundUserOutput(name=user.name)

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Testing

async def test_hello_world():
    usecase = HelloWorld(HelloInput(name="World"))
    error = usecase.validate()
    assert error is None

    output = await usecase.execute()
    assert output.message == "Hello, World!"

See doc/testing_guide.md for the full testing guide.

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License

MIT — see LICENSE.