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spakky-saga

Spakky Framework를 위한 분산 트랜잭션 사가 오케스트레이션입니다. @Saga@saga_step으로 보상 기반 workflow를 DI-managed application component로 선언합니다.

설치

pip install spakky-saga

주요 기능

  • @Saga stereotype: saga orchestrator class를 표시합니다(@Pod 확장).
  • AbstractSaga[SagaDataT]: flow() 추상 메서드와 execute() entry point를 가진 generic base class입니다.
  • @saga_step decorator: instance method에서 >>, &, | 연산자를 활성화하는 typed descriptor입니다.
  • Flow DSL: 연산자 또는 builder 함수(saga_flow, step, parallel)로 선언적 구성
  • Error strategy: Compensate(기본값), Skip, ExponentialBackoff을 포함한 Retry(max_attempts, backoff, then)을 제공합니다.
  • Timeout: step별 timeout=과 saga별 SagaFlow.timeout() 지원
  • 병렬 실행: asyncio.gather 기반 group(& operator / parallel())
  • 보상: 실패 시 commit된 step을 역순으로 자동 rollback
  • AuthContextSnapshot 전파: AbstractSagaData.auth_context_snapshot signed envelope를 실행, retry, parallel, compensation 동안 유지하고 protected saga step을 enforcement합니다.
  • SagaResult[T]: status, data, failed_step, error, history, elapsed를 담는 non-throwing result
  • 구조화 로깅: [saga=... step=... status=... elapsed=...ms] format

빠른 시작

SagaData 정의

from spakky.saga import AbstractSagaData


class OrderSagaData(AbstractSagaData):
    order_id: int
    customer_id: int
    ticket_id: int | None = None

Saga 정의

from spakky.saga import AbstractSaga, Saga, SagaFlow, saga_step


@Saga()
class CreateOrderSaga(AbstractSaga[OrderSagaData]):
    @saga_step
    async def issue_ticket(self, data: OrderSagaData) -> OrderSagaData:
        ...

    @saga_step
    async def cancel_ticket(self, data: OrderSagaData) -> None:
        ...

    @saga_step
    async def reserve_stock(self, data: OrderSagaData) -> OrderSagaData:
        ...

    def flow(self) -> SagaFlow[OrderSagaData]:
        return SagaFlow(
            items=(
                self.issue_ticket >> self.cancel_ticket,  # Transaction
                self.reserve_stock,                        # SagaStep (no compensation)
            )
        )

실행

result = await saga.execute(OrderSagaData(order_id=1, customer_id=42))
if result.status is SagaStatus.COMPLETED:
    ...

Protected Saga Step

from spakky.auth import protected, require_scope
from spakky.saga import SagaAuthExecutionContext


@Saga()
class ProtectedOrderSaga(AbstractSaga[OrderSagaData]):
    @saga_step
    @protected
    @require_scope("orders:write")
    async def issue_ticket(self, data: OrderSagaData) -> OrderSagaData:
        ...


result = await saga.execute(
    OrderSagaData(order_id=1, customer_id=42, auth_context_snapshot="signed-envelope"),
    auth_context=SagaAuthExecutionContext(
        snapshot_verifier=snapshot_verifier,
        scope_checker=scope_checker,
    ),
)

Protected step은 raw bearer token을 받지 않고 signed AuthContextSnapshot envelope를 검증합니다. missing, invalid, expired snapshot은 CHALLENGE decision으로 step failure가 되며, provider unavailable은 ERROR decision으로 기존 saga failure/compensation policy를 따릅니다.

Builder 함수 대안

from spakky.saga import Retry, parallel, saga_flow, step


flow = saga_flow(
    step(issue_ticket_fn, compensate=cancel_ticket_fn),
    parallel(reserve_stock_fn, charge_payment_fn),
    step(confirm_order_fn, on_error=Retry(max_attempts=3)),
)

Flow 연산자

연산자 의미 결과 타입
>> compensate 함수 바인딩 Transaction[T]
& 병렬 실행 Parallel[T]
| 에러 전략 부착 좌변과 동일한 타입 + on_error

Error Strategy

Strategy Signature 설명
Compensate() (기본값) 역순 compensation 실행
Skip() 실패를 무시하고 계속 진행
Retry(max_attempts, backoff, then) Retry(3, ExponentialBackoff(1.0), Compensate()) N회 재시도 후 then 전략 적용
ExponentialBackoff(base=1.0) retry 사이에 base * 2^(attempt-1) delay 적용

API 레퍼런스

Stereotype / Base

기호 설명
@Saga() saga orchestrator class용 stereotype(@Pod 확장)
AbstractSaga[SagaDataT] flow() 추상 메서드와 execute()를 가진 ABC 기반 클래스
@saga_step >>, &, `
AbstractSagaData base data model(@immutable + AbstractDomainModel, saga_id: UUID 자동 생성, auth_context_snapshot envelope 전파)
SagaAuthExecutionContext protected saga step enforcement에 사용할 snapshot verifier/checker port 묶음

Flow 타입

기호 설명
SagaFlow[T] 최상위 flow 정의(items, saga_timeout, compensation_failure_handler)
SagaStep[T] compensation 없는 단일 action
Transaction[T] action + compensate 쌍
Parallel[T] step/transaction 동시 실행 그룹
FlowItem[T] flow 구성 가능 item의 union
ActionFn[T] / CompensateFn[T] action / compensate callable용 type alias
SagaDataT AbstractSagaData에 bound된 TypeVar

Builder

함수 설명
saga_flow(*items) 순차 item으로 SagaFlow 생성
step(action, *, compensate=, on_error=, timeout=) SagaStep 또는 Transaction 생성
parallel(*items) Parallel group 생성(최소 2개 item 필요)

실행

기호 설명
run_saga_flow(flow, data, *, saga_name=) flow 실행 후 SagaResult 반환
AbstractSaga.execute(data) type(self).__name__을 사용하는 run_saga_flow 얇은 wrapper

Result 타입

기호 설명
SagaResult[T] status, data, failed_step, error, history, elapsed
StepRecord name, status, elapsed — per-step execution record
StepStatus COMMITTED, FAILED, COMPENSATED
SagaStatus STARTED, RUNNING, COMPENSATING, COMPLETED, FAILED, TIMED_OUT

에러

에러 설명
AbstractSpakkySagaError 모든 saga error의 ABC 기반 클래스
SagaFlowDefinitionError 유효하지 않은 saga flow 정의(정적 검증)
SagaCompensationFailedError rollback 중 compensation 실패
SagaStepTimeoutError step timeout 초과 시 내부에서 발생(on_error로 라우팅)
SagaParallelMergeConflictError 병렬 step이 data merge 중 같은 필드 변경
SagaEngineNotConnectedError saga engine 연결 전에 execute()가 호출됨

관련 문서

  • ADR-0007 — architecture decision record
  • spakky-domainAbstractSagaData의 부모인 AbstractDomainModel 제공

개발 검증

패키지 단위 검증은 해당 패키지 디렉토리에서 실행합니다.

uv run ruff format .
uv run ruff check .
uv run pyrefly check
uv run pytest

pytest는 각 패키지 pyproject.toml의 coverage 설정을 사용합니다.

라이선스

MIT License

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