Spakky Tracing

Spakky Framework를 위한 분산 트레이싱 추상화입니다. TraceContext와 ITracePropagator로 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 context
  • ITracePropagator: service boundary를 넘는 trace context propagation용 abstract interface
  • W3CTracePropagator: 내장 W3C traceparent header propagator
  • Async-safe: asyncio task별로 격리되는 contextvars 기반 context propagation
  • 외부 의존성 없음: 순수 Python 구현이며 spakky core에만 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)

라이선스

MIT License

Key dates

PyPI data
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  • Released:
Newer release available (8.0.0)

1 maintainer

PyPI data
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Avatar for Spakky from gravatar.com Spakky

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Spakky

License

MIT

Requires

Python >=3.12

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