spakky-logging
Spakky Framework를 위한 구조화 로깅 시스템입니다. Context-local log binding, formatter 설정, AOP 기반 메서드 호출 로깅, PostProcessor 기반 자동 설정을 제공합니다.
설치
pip install spakky-logging
빠른 시작
1. 플러그인 자동 등록
spakky-logging은 load_plugins()를 통해 자동으로 로드됩니다.
app = SpakkyApplication(ApplicationContext()).load_plugins().scan(my_app).start()
2. @logged로 메서드 표시
from spakky.plugins.logging import logged
class UserService:
@logged()
async def create_user(self, name: str, password: str) -> User:
...
3. 설정(선택)
LoggingConfig로 기본값을 override합니다.
LoggingConfig는 @Configuration Pod로 로드되며, pydantic-settings를 통해
SPAKKY_LOGGING__* 환경변수를 읽습니다.
export SPAKKY_LOGGING__LEVEL=10
export SPAKKY_LOGGING__FORMAT=json
export SPAKKY_LOGGING__MASK_KEYS='["password", "token", "secret"]'
export SPAKKY_LOGGING__SLOW_THRESHOLD_MS=500
4. LogContext 전파
모든 log record에 자동 포함될 contextual key-value pair를 바인딩합니다.
from spakky.plugins.logging import LogContext
LogContext.bind(request_id="req-123", user_id="u-456")
with LogContext.scope(trace_id="t-789"):
# 이 block 안의 모든 log는 trace_id를 포함
...
주요 기능
| 기능 | 설명 |
|---|---|
@logged() annotation |
AOP 기반 method call/result/error 자동 logging |
LogContext |
contextvars 기반 structured context 전파 |
ContextInjectingFilter |
모든 LogRecord에 LogContext value 주입 |
SpakkyTextFormatter |
pipe로 구분된 text format |
SpakkyJsonFormatter |
line당 JSON object 하나 |
SpakkyPrettyFormatter |
개발용 ANSI color multi-column format |
LoggingConfig |
중앙 logging configuration용 @Configuration pod |
LoggingSetupPostProcessor |
application start 시 root logger 자동 설정 |
| 민감 데이터 masking | log output에서 password, token, secret 등을 masking |
| 느린 호출 감지 | method 실행 시간이 threshold를 넘으면 warning 출력 |
| 결과 truncation | 긴 return value를 log output에서 잘라냄 |
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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