Spakky Tracing
Spakky Framework를 위한 분산 트레이싱 추상화입니다.
TraceContext와ITracePropagator로 HTTP, messaging, task boundary 사이의 trace metadata를 전달합니다.
설치
pip install spakky-tracing
주요 기능
TraceContext:contextvars를 지원하는 W3C Trace Context Level 2 호환 trace contextITracePropagator: service boundary를 넘는 trace context propagation용 abstract interfaceW3CTracePropagator: 내장 W3Ctraceparentheader propagator- Async-safe:
asynciotask별로 격리되는contextvars기반 context propagation - 외부 의존성 없음: 순수 Python 구현이며
spakkycore에만 의존
빠른 시작
TraceContext 생성과 전파
from spakky.tracing.context import TraceContext
# 새 root trace 시작
ctx = TraceContext.new_root()
TraceContext.set(ctx)
# 현재 trace 접근
current = TraceContext.get()
print(current.to_traceparent())
# 00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01
# child span 생성
child = current.child()
TraceContext.set(child)
들어오는 trace header 파싱
from spakky.tracing.context import TraceContext
header = "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01"
ctx = TraceContext.from_traceparent(header)
W3CTracePropagator로 주입/추출
from spakky.tracing.w3c_propagator import W3CTracePropagator
propagator = W3CTracePropagator()
# 현재 trace를 outgoing header에 주입
carrier: dict[str, str] = {}
propagator.inject(carrier)
# carrier == {"traceparent": "00-...-...-01"}
# incoming header에서 trace 추출
ctx = propagator.extract(carrier)
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
1 maintainer
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