diff --git a/apps/pre-processing-service/app/core/config.py b/apps/pre-processing-service/app/core/config.py index 2de3833a..69e29d35 100644 --- a/apps/pre-processing-service/app/core/config.py +++ b/apps/pre-processing-service/app/core/config.py @@ -76,15 +76,10 @@ class BaseSettingsConfig(BaseSettings): db_pass: str db_name: str env_name: str - app_name: str # MeCab 사전 경로 (자동 감지) mecab_path: Optional[str] = None - # Loki 설정 - loki_host: str = "localhost" - loki_port: int = 3100 - # 테스트/추가용 필드 openai_api_key: Optional[str] = None # << 이 부분 추가 diff --git a/apps/pre-processing-service/app/core/logging_config.py b/apps/pre-processing-service/app/core/logging_config.py deleted file mode 100644 index b2c10d88..00000000 --- a/apps/pre-processing-service/app/core/logging_config.py +++ /dev/null @@ -1,95 +0,0 @@ -import os -from loguru import logger -import sys -from contextvars import ContextVar - -# trace_id context 변수 import -try: - from app.middleware.ServiceLoggerMiddleware import trace_id_context -except ImportError: - # 모듈이 아직 로드되지 않은 경우를 위한 기본값 - trace_id_context: ContextVar[str] = ContextVar("trace_id", default="") - - -def setup_file_logging(): - """ - PromTail을 통해 Loki로 전송하기 위한 파일 로깅 설정 - """ - # 기존 loguru 핸들러 제거 (기본 콘솔 출력 제거) - logger.remove() - - # 환경변수로 로그 디렉토리 설정 (기본값: logs/develop) - log_dir = "../../docker/local/logs/develop" - - # 로그 디렉토리가 없으면 생성 - - # 로그 파일 경로 설정 - log_file_path = log_dir + "/pre-processing-app.log" - error_log_file_path = log_dir + "/pre-processing-app-error.log" - - # trace_id를 포함한 간단한 포맷 문자열 사용 - def add_trace_id_filter(record): - try: - current_trace_id = trace_id_context.get() - if current_trace_id: - record["extra"]["trace_id"] = current_trace_id - else: - record["extra"]["trace_id"] = "" - except LookupError: - record["extra"]["trace_id"] = "" - return record - - # 파일 로깅에서 LoggingMiddleware 제외하는 필터 - def exclude_logging_middleware_filter(record): - # LoggingMiddleware의 로그는 파일에 기록하지 않음 - if record["name"] == "app.middleware.logging": - return False - return add_trace_id_filter(record) - - # 파일 로깅 핸들러 추가 - trace_id 포함, LoggingMiddleware 제외 - logger.add( - log_file_path, - format="[{extra[trace_id]}] {time:YYYY-MM-DD HH:mm:ss.SSS} | {level} | {name}:{function}:{line} | {message}", - level="DEBUG", - rotation="100 MB", # 100MB마다 로테이션 - retention="7 days", # 7일간 보관 - compression="zip", # 압축 - enqueue=True, # 멀티프로세스 안전 - serialize=False, # JSON 직렬화 비활성화 (PromTail에서 파싱) - backtrace=True, # 백트레이스 포함 - diagnose=True, # 진단 정보 포함 - filter=exclude_logging_middleware_filter, - ) - - # 에러 레벨 이상은 별도 파일에도 기록 - trace_id 포함, LoggingMiddleware 제외 - logger.add( - error_log_file_path, - format="[{extra[trace_id]}] {time:YYYY-MM-DD HH:mm:ss.SSS} | {level} | {name}:{function}:{line} | {message}", - level="ERROR", - rotation="50 MB", - retention="30 days", - compression="zip", - enqueue=True, - serialize=False, - backtrace=True, - diagnose=True, - filter=exclude_logging_middleware_filter, - ) - - # 개발 환경에서는 콘솔 출력도 유지 - if os.getenv("ENVIRONMENT", "development") == "development": - logger.add( - sys.stdout, - format="[{extra[trace_id]}] {time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {name}:{function}:{line} | {message}", - level="DEBUG", - colorize=False, # colorize 비활성화하여 태그 충돌 방지 - filter=add_trace_id_filter, - ) - - logger.info("File logging setup completed for PromTail integration") - return logger - - -def get_logger(): - """구성된 로거 인스턴스 반환""" - return logger diff --git a/apps/pre-processing-service/app/main.py b/apps/pre-processing-service/app/main.py index 4bbf3ff1..9865d845 100644 --- a/apps/pre-processing-service/app/main.py +++ b/apps/pre-processing-service/app/main.py @@ -5,11 +5,6 @@ from fastapi.exceptions import RequestValidationError from app.middleware.ServiceLoggerMiddleware import ServiceLoggerMiddleware -# 파일 로깅 설정 초기화 -from app.core.logging_config import setup_file_logging - -setup_file_logging() - # --- 애플리케이션 구성 요소 임포트 --- from app.api.router import api_router from app.middleware.logging import LoggingMiddleware diff --git a/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py b/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py index 30d3475b..acb120fa 100644 --- a/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py +++ b/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py @@ -8,12 +8,8 @@ import json import time -import asyncio -from app.middleware.rds_logger import RDSLogger -from app.middleware.loki_logger import LokiLogger - -trace_id_context: ContextVar[str] = ContextVar("trace_id", default="") +trace_id_context: ContextVar[str] = ContextVar("trace_id", default="NO_TRACE_ID") class ServiceLoggerMiddleware(BaseHTTPMiddleware): @@ -22,17 +18,9 @@ class ServiceLoggerMiddleware(BaseHTTPMiddleware): URL 패턴을 기반으로 자동으로 서비스 타입 식별 및 로깅 """ - def __init__( - self, - app, - service_mappings: Dict[str, Dict] = None, - enable_rds: bool = True, - enable_loki: bool = True, - ): + def __init__(self, app, service_mappings: Dict[str, Dict] = None): """ :param service_mappings: URL 패턴별 서비스 설정 - :param enable_rds: RDS 로깅 활성화 여부 - :param enable_loki: Loki 로깅 활성화 여부 예: { "/keywords/search": { "service_type": "NAVER_CRAWLING", @@ -43,23 +31,13 @@ def __init__( """ super().__init__(app) self.service_mappings = service_mappings or self._default_mappings() - self.enable_rds = enable_rds - self.enable_loki = enable_loki - - # 로거 인스턴스 초기화 - self.rds_logger = RDSLogger() if enable_rds else None - # Loki 직접 로깅 비활성화 - PromTail을 통해 파일로 로깅 - # self.loki_logger = LokiLogger() if enable_loki else None - self.loki_logger = None def _default_mappings(self) -> Dict[str, Dict]: """기본 서비스 매핑 설정""" return { - # 네이버 키워드 검색 "/keywords/search": { "service_type": "NAVER_CRAWLING", "track_params": [ - "tag", "keyword", "category", "startDate", @@ -67,121 +45,25 @@ def _default_mappings(self) -> Dict[str, Dict]: "job_id", "schedule_id", ], - "response_trackers": ["keyword", "total_keyword", "success", "status"], + "response_trackers": ["keyword", "total_keywords", "results_count"], }, - # 블로그 RAG 콘텐츠 생성 - "/blogs/rag/create": { - "service_type": "BLOG_RAG_CREATE", - "track_params": [ - "keyword", - "product_info", - "content_type", - "target_length", - "job_id", - "schedule_id", - "schedule_his_id", - ], - "response_trackers": [ - "title", - "content_length", - "tags_count", - "success", - "status", - ], - }, - # 블로그 배포 "/blogs/publish": { "service_type": "BLOG_PUBLISH", "track_params": [ "tag", - "blog_id", - "post_title", - "post_content", - "post_tags", - "job_id", - "schedule_id", - "schedule_his_id", - ], - "response_trackers": [ - "tag", - "post_title", - "post_url", - "published_at", - "publish_success", - "metadata", - "success", - "status", - ], - }, - # 상품 검색 - "/products/search": { - "service_type": "PRODUCT_SEARCH", - "track_params": [ - "keyword", - "job_id", - "schedule_id", - "schedule_his_id", - ], - "response_trackers": [ - "keyword", - "search_results_count", - "success", - "status", - ], - }, - # 상품 매칭 - "/products/match": { - "service_type": "PRODUCT_MATCH", - "track_params": [ - "keyword", - "search_results", - "job_id", - "schedule_id", - "schedule_his_id", - ], - "response_trackers": [ - "keyword", - "matched_products_count", - "success", - "status", - ], - }, - # 상품 유사도 분석 - "/products/similarity": { - "service_type": "PRODUCT_SIMILARITY", - "track_params": [ - "keyword", - "matched_products", - "search_results", + "title", + "content", + "tags", "job_id", "schedule_id", "schedule_his_id", ], "response_trackers": [ - "keyword", - "selected_product", - "reason", - "success", - "status", - ], - }, - # 상품 크롤링 - "/products/crawl": { - "service_type": "PRODUCT_CRAWL", - "track_params": [ - "tag", - "product_url", "job_id", "schedule_id", "schedule_his_id", - ], - "response_trackers": [ - "tag", - "product_url", - "product_detail", - "crawled_at", - "success", "status", + "metadata", ], }, } @@ -196,8 +78,7 @@ async def dispatch(self, request: Request, call_next): return await call_next(request) # 2. 시작 로깅 - trace_id = request.headers.get("X-Request-ID", "") - trace_id_context.set(trace_id) + trace_id = trace_id_context.get("NO_TRACE_ID") start_time = time.time() # 파라미터 추출 및 시작 로그 @@ -210,23 +91,11 @@ async def dispatch(self, request: Request, call_next): service_type = service_config["service_type"] logger.info(f"[{service_type}_START] trace_id={trace_id}{param_str}") - # source_id 추출 (job_id, schedule_id 등에서) - source_id = self._extract_source_id(params) - run_id = params.get("run_id") - - # RDS 및 Loki에 시작 로그 전송 - start_message = f"[{service_type}_START]{param_str}" - await self._log_to_external_systems( - "start", service_type, source_id, trace_id, start_message, run_id, params - ) - # 3. 요청 처리 try: response = await call_next(request) # 4. 성공 로깅 - duration_ms = int((time.time() - start_time) * 1000) - if 200 <= response.status_code < 300: await self._log_success_response( service_type, @@ -236,60 +105,16 @@ async def dispatch(self, request: Request, call_next): response, service_config["response_trackers"], ) - - # 외부 로깅 시스템에 성공 로그 전송 - success_message = f"[{service_type}_SUCCESS]{param_str} status_code={response.status_code}" - await self._log_to_external_systems( - "success", - service_type, - source_id, - trace_id, - success_message, - run_id, - params, - duration_ms=duration_ms, - ) else: await self._log_error_response( service_type, trace_id, start_time, param_str, response ) - # 외부 로깅 시스템에 에러 로그 전송 - error_message = f"[{service_type}_ERROR]{param_str} status_code={response.status_code}" - await self._log_to_external_systems( - "error", - service_type, - source_id, - trace_id, - error_message, - run_id, - params, - duration_ms=duration_ms, - error_code=f"HTTP_{response.status_code}", - ) - return response except Exception as e: # 5. 예외 로깅 - duration_ms = int((time.time() - start_time) * 1000) await self._log_exception(service_type, trace_id, start_time, param_str, e) - - # 외부 로깅 시스템에 예외 로그 전송 - exception_message = ( - f"[{service_type}_EXCEPTION]{param_str} exception={str(e)}" - ) - await self._log_to_external_systems( - "error", - service_type, - source_id, - trace_id, - exception_message, - run_id, - params, - duration_ms=duration_ms, - error_code="EXCEPTION", - ) raise def _get_service_config(self, url_path: str) -> Optional[Dict]: @@ -423,94 +248,3 @@ async def _log_exception( f"execution_time={duration:.4f}s{param_str} " f"exception={str(exception)}" ) - - def _extract_source_id(self, params: Dict[str, Any]) -> int: - """파라미터에서 source_id 추출 (job_id, schedule_id 등 우선순위)""" - for key in ["job_id", "schedule_id", "task_id", "workflow_id"]: - if key in params and params[key]: - try: - return int(params[key]) - except (ValueError, TypeError): - continue - return 0 # 기본값 - - async def _log_to_external_systems( - self, - log_type: str, # start, success, error - service_type: str, - source_id: int, - trace_id: str, - message: str, - run_id: Optional[int] = None, - params: Optional[Dict[str, Any]] = None, - duration_ms: Optional[int] = None, - error_code: Optional[str] = None, - ): - """RDS와 Loki에 로그 전송""" - tasks = [] - - # 로깅할 추가 데이터 준비 - additional_data = params.copy() if params else {} - - if self.rds_logger: - if log_type == "start": - task = self.rds_logger.log_start( - service_type, source_id, trace_id, message, run_id, additional_data - ) - elif log_type == "success": - task = self.rds_logger.log_success( - service_type, - source_id, - trace_id, - message, - duration_ms, - run_id, - additional_data, - ) - elif log_type == "error": - task = self.rds_logger.log_error( - service_type, - source_id, - trace_id, - message, - error_code, - duration_ms, - run_id, - additional_data, - ) - tasks.append(task) - - if self.loki_logger: - if log_type == "start": - task = self.loki_logger.log_start( - service_type, source_id, trace_id, message, run_id, additional_data - ) - elif log_type == "success": - task = self.loki_logger.log_success( - service_type, - source_id, - trace_id, - message, - duration_ms, - run_id, - additional_data, - ) - elif log_type == "error": - task = self.loki_logger.log_error( - service_type, - source_id, - trace_id, - message, - error_code, - duration_ms, - run_id, - additional_data, - ) - tasks.append(task) - - # 비동기로 병렬 실행 (로깅 실패가 메인 로직에 영향을 주지 않도록) - if tasks: - try: - await asyncio.gather(*tasks, return_exceptions=True) - except Exception as e: - logger.debug(f"외부 로깅 시스템 전송 중 일부 실패: {e}") diff --git a/apps/pre-processing-service/app/middleware/logging.py b/apps/pre-processing-service/app/middleware/logging.py index 15bfd757..9a8cb6a0 100644 --- a/apps/pre-processing-service/app/middleware/logging.py +++ b/apps/pre-processing-service/app/middleware/logging.py @@ -3,24 +3,11 @@ from loguru import logger from starlette.middleware.base import BaseHTTPMiddleware -# trace_id context 변수 import -try: - from app.middleware.ServiceLoggerMiddleware import trace_id_context -except ImportError: - from contextvars import ContextVar - - trace_id_context: ContextVar[str] = ContextVar("trace_id", default="") - class LoggingMiddleware(BaseHTTPMiddleware): async def dispatch(self, request: Request, call_next): start_time = time.time() - # trace_id 설정 (X-Request-ID 헤더에서) - current_trace_id = request.headers.get("X-Request-ID", "") - if current_trace_id: - trace_id_context.set(current_trace_id) - # 1. 요청 시작 로그 logger.info( "요청 시작: IP='{}' 메서드='{}' URL='{}'", diff --git a/apps/pre-processing-service/app/middleware/loki_logger.py b/apps/pre-processing-service/app/middleware/loki_logger.py deleted file mode 100644 index 0a4d603c..00000000 --- a/apps/pre-processing-service/app/middleware/loki_logger.py +++ /dev/null @@ -1,198 +0,0 @@ -import json -import aiohttp -import asyncio -from typing import Dict, List, Any, Optional -from datetime import datetime -from loguru import logger - -from app.model.execution_log import ExecutionLog -from app.core.config import settings - - -class LokiLogger: - """Loki에 로그를 전송하는 클래스""" - - def __init__(self): - self.loki_url = f"{settings.loki_host}:{settings.loki_port}/loki/api/v1/push" - self.app_name = settings.app_name - self.session = None - - async def _get_session(self) -> aiohttp.ClientSession: - """aiohttp 세션 관리""" - if self.session is None or self.session.closed: - self.session = aiohttp.ClientSession() - return self.session - - async def close(self): - """세션 종료""" - if self.session and not self.session.closed: - await self.session.close() - - async def send_log( - self, - execution_type: str, - source_id: int, - log_level: str, - log_message: str, - trace_id: Optional[str] = None, - run_id: Optional[int] = None, - status: Optional[str] = None, - duration_ms: Optional[int] = None, - error_code: Optional[str] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """ - Loki로 로그 전송 - - Args: - execution_type: task, schedule, job, workflow - source_id: 모든 데이터에 대한 ID - log_level: INFO, ERROR, WARNING, DEBUG - log_message: 로그 메시지 - trace_id: 추적 ID - run_id: 실행 ID - status: SUCCESS, ERROR, RUNNING, PENDING - duration_ms: 실행 시간(밀리초) - error_code: 에러 코드 - additional_data: 추가 데이터 - - Returns: - bool: 전송 성공 여부 - """ - try: - execution_log = ExecutionLog( - execution_type=execution_type, - source_id=source_id, - log_level=log_level, - executed_at=datetime.now(), - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status=status, - duration_ms=duration_ms, - error_code=error_code, - reserved4=additional_data, - ) - - loki_data = execution_log.to_loki_format(self.app_name) - - # Loki push API 형식으로 변환 - payload = { - "streams": [ - { - "stream": loki_data["labels"], - "values": [ - [ - str(loki_data["log"]["timestamp"]), - json.dumps(loki_data["log"], ensure_ascii=False), - ] - ], - } - ] - } - - session = await self._get_session() - - async with session.post( - self.loki_url, - json=payload, - headers={"Content-Type": "application/json"}, - timeout=aiohttp.ClientTimeout(total=5), - ) as response: - if response.status == 204: - # logger.debug(f"Loki 로그 전송 성공: {execution_type} - {log_message[:50]}...") - return True - else: - response_text = await response.text() - logger.error( - f"Loki 로그 전송 실패: status={response.status}, response={response_text}" - ) - return False - - except asyncio.TimeoutError: - logger.error("Loki 로그 전송 타임아웃") - return False - except Exception as e: - logger.error(f"Loki 로그 전송 실패: {str(e)}") - return False - - async def log_start( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """시작 로그 전송""" - return await self.send_log( - execution_type=execution_type, - source_id=source_id, - log_level="INFO", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="RUNNING", - additional_data=additional_data, - ) - - async def log_success( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - duration_ms: int, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """성공 로그 전송""" - return await self.send_log( - execution_type=execution_type, - source_id=source_id, - log_level="INFO", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="SUCCESS", - duration_ms=duration_ms, - additional_data=additional_data, - ) - - async def log_error( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - error_code: str, - duration_ms: Optional[int] = None, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """에러 로그 전송""" - return await self.send_log( - execution_type=execution_type, - source_id=source_id, - log_level="ERROR", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="ERROR", - duration_ms=duration_ms, - error_code=error_code, - additional_data=additional_data, - ) - - def __del__(self): - """소멸자에서 세션 정리""" - if self.session and not self.session.closed: - try: - loop = asyncio.get_event_loop() - if loop.is_running(): - loop.create_task(self.session.close()) - else: - loop.run_until_complete(self.session.close()) - except: - pass diff --git a/apps/pre-processing-service/app/middleware/rds_logger.py b/apps/pre-processing-service/app/middleware/rds_logger.py deleted file mode 100644 index 66bad19c..00000000 --- a/apps/pre-processing-service/app/middleware/rds_logger.py +++ /dev/null @@ -1,153 +0,0 @@ -from typing import Optional -from datetime import datetime -import traceback -from loguru import logger - -from app.db.mariadb_manager import MariadbManager -from app.model.execution_log import ExecutionLog - - -class RDSLogger: - """RDS(MariaDB)에 로그를 저장하는 클래스""" - - def __init__(self): - self.db_manager = MariadbManager() - - async def log_execution( - self, - execution_type: str, - source_id: int, - log_level: str, - log_message: str, - trace_id: Optional[str] = None, - run_id: Optional[int] = None, - status: Optional[str] = None, - duration_ms: Optional[int] = None, - error_code: Optional[str] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """ - execution_log 테이블에 로그 저장 - - Args: - execution_type: task, schedule, job, workflow - source_id: 모든 데이터에 대한 ID - log_level: INFO, ERROR, WARNING, DEBUG - log_message: 로그 메시지 - trace_id: 추적 ID - run_id: 실행 ID - status: SUCCESS, ERROR, RUNNING, PENDING - duration_ms: 실행 시간(밀리초) - error_code: 에러 코드 - additional_data: 추가 데이터 (reserved4에 JSON으로 저장) - - Returns: - bool: 저장 성공 여부 - """ - try: - execution_log = ExecutionLog( - execution_type=execution_type, - source_id=source_id, - log_level=log_level, - executed_at=datetime.now(), - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status=status, - duration_ms=duration_ms, - error_code=error_code, - reserved4=additional_data, - ) - - log_data = execution_log.to_dict() - - # 컬럼명과 값 분리 - columns = list(log_data.keys()) - values = list(log_data.values()) - placeholders = ", ".join(["%s"] * len(values)) - columns_str = ", ".join(columns) - - insert_query = f""" - INSERT INTO execution_log ({columns_str}) - VALUES ({placeholders}) - """ - - with self.db_manager.get_cursor() as cursor: - cursor.execute(insert_query, values) - - # logger.debug(f"RDS 로그 저장 성공: {execution_type} - {log_message[:50]}...") - return True - - except Exception as e: - logger.error(f"RDS 로그 저장 실패: {str(e)}") - logger.error(f"Traceback: {traceback.format_exc()}") - return False - - async def log_start( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """시작 로그 저장""" - return await self.log_execution( - execution_type=execution_type, - source_id=source_id, - log_level="INFO", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="RUNNING", - additional_data=additional_data, - ) - - async def log_success( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - duration_ms: int, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """성공 로그 저장""" - return await self.log_execution( - execution_type=execution_type, - source_id=source_id, - log_level="INFO", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="SUCCESS", - duration_ms=duration_ms, - additional_data=additional_data, - ) - - async def log_error( - self, - execution_type: str, - source_id: int, - trace_id: str, - log_message: str, - error_code: str, - duration_ms: Optional[int] = None, - run_id: Optional[int] = None, - additional_data: Optional[dict] = None, - ) -> bool: - """에러 로그 저장""" - return await self.log_execution( - execution_type=execution_type, - source_id=source_id, - log_level="ERROR", - log_message=log_message, - trace_id=trace_id, - run_id=run_id, - status="ERROR", - duration_ms=duration_ms, - error_code=error_code, - additional_data=additional_data, - ) diff --git a/apps/pre-processing-service/app/model/execution_log.py b/apps/pre-processing-service/app/model/execution_log.py deleted file mode 100644 index c1bef2e0..00000000 --- a/apps/pre-processing-service/app/model/execution_log.py +++ /dev/null @@ -1,79 +0,0 @@ -from dataclasses import dataclass -from datetime import datetime -from typing import Optional, Dict, Any -import json - - -@dataclass -class ExecutionLog: - """execution_log 테이블에 대응하는 데이터 모델""" - - execution_type: str # task, schedule, job, workflow - source_id: int # 모든 데이터에 대한 ID - log_level: str # INFO, ERROR, WARNING, DEBUG - executed_at: datetime - log_message: str - span_id: str = "" # 테스트값 - trace_id: Optional[str] = None - run_id: Optional[int] = None - status: Optional[str] = None # SUCCESS, ERROR, RUNNING, PENDING - duration_ms: Optional[int] = None - error_code: Optional[str] = None - reserved1: Optional[str] = None - reserved2: Optional[str] = None - reserved3: Optional[int] = None - reserved4: Optional[Dict[str, Any]] = None # JSON 데이터 - reserved5: Optional[datetime] = None - id: Optional[int] = None # auto_increment - - def to_dict(self) -> Dict[str, Any]: - """딕셔너리로 변환 (DB 삽입용)""" - data = { - "execution_type": self.execution_type, - "source_id": self.source_id, - "log_level": self.log_level, - "executed_at": self.executed_at, - "log_message": self.log_message, - "trace_id": self.trace_id, - "run_id": self.run_id, - "status": self.status, - "duration_ms": self.duration_ms, - "error_code": self.error_code, - "reserved1": self.span_id, - "reserved2": self.reserved2, - "reserved3": self.reserved3, - "reserved4": json.dumps(self.reserved4) if self.reserved4 else None, - "reserved5": self.reserved5, - } - return {k: v for k, v in data.items() if v is not None} - - def to_loki_format( - self, app_name: str = "pre-processing-service" - ) -> Dict[str, Any]: - """Loki 형식으로 변환""" - - labels = { - "app": app_name, - "env": "develop", - "traceId": self.trace_id or "", - "spanId": self.span_id, # 필요시 추가 - "executionType": self.execution_type, - "sourceId": str(self.source_id), - "runId": str(self.run_id) if self.run_id else "", - } - - log_data = { - "timestamp": int(self.executed_at.timestamp() * 1000000000), # nanoseconds - "level": self.log_level, - "message": self.log_message, - "execution_type": self.execution_type, - "source_id": self.source_id, - "status": self.status, - "duration_ms": self.duration_ms, - "error_code": self.error_code, - } - - if self.reserved4: - log_data.update(self.reserved4) - - return {"labels": labels, "log": log_data} diff --git a/apps/pre-processing-service/app/service/keyword_service.py b/apps/pre-processing-service/app/service/keyword_service.py index b6341482..01d61f37 100644 --- a/apps/pre-processing-service/app/service/keyword_service.py +++ b/apps/pre-processing-service/app/service/keyword_service.py @@ -2,7 +2,7 @@ import random from app.utils.response import Response import httpx -from loguru import logger + from ..errors.CustomException import InvalidItemDataException from ..model.schemas import RequestNaverSearch from datetime import date, timedelta @@ -13,7 +13,7 @@ async def keyword_search(request: RequestNaverSearch) -> dict: 네이버 검색 요청을 처리하는 비즈니스 로직입니다. 입력받은 데이터를 기반으로 응답 데이터를 생성하여 딕셔너리로 반환합니다. """ - logger.info(f"검색 플랫폼: {request.tag}") + # 키워드 검색 if request.tag == "naver": trending_keywords = await search_naver_rank() @@ -25,10 +25,8 @@ async def keyword_search(request: RequestNaverSearch) -> dict: if not trending_keywords: raise InvalidItemDataException() - keyword = random.choice(list(trending_keywords.values())) - logger.info(f"선택된 키워드: {keyword}, 검색된 키워드 수: {len(trending_keywords)}") data = { - "keyword": keyword, + "keyword": random.choice(list(trending_keywords.values())), "total_keyword": trending_keywords, } return Response.ok(data) @@ -57,13 +55,11 @@ async def search_naver_rank() -> dict[int, str]: "50000009", ] category = random.choice(categorys) - logger.info(f"선택된 카테고리:{category}") today = date.today() yesterday = today - timedelta(days=1) # 3. 원하는 포맷(YYYY-MM-DD)으로 변환하기 end_date = today.strftime("%Y-%m-%d") - logger.info(f"실행 날짜: {end_date}") start_date = yesterday.strftime("%Y-%m-%d") keywords_dic = {} @@ -90,9 +86,7 @@ async def search_naver_rank() -> dict[int, str]: httpx.RequestError, json.JSONDecodeError, ) as e: - 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spanId: - - - job_name: pre-processing-logs - static_configs: - - targets: - - localhost - labels: - job: pre-processing - app: pre-processing - env: develop - __path__: /logs/develop/pre-processing-app.log - pipeline_stages: - - regex: - expression: '^\[(?P[^\]]*)\] (?P\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d{3}) \| (?P\w+) \| (?P[^:]+:[^:]+:\d+) \| (?P.*)$' - - labels: - traceId: - level: - logger: - - - job_name: pre-processing-errors - static_configs: - - targets: - - localhost - labels: - job: pre-processing-errors - app: pre-processing - env: develop - log_type: error - __path__: /logs/develop/pre-processing-app-error.log - pipeline_stages: - - regex: - expression: '^\[(?P[^\]]*)\] (?P\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d{3}) \| (?P\w+) \| (?P[^:]+:[^:]+:\d+) \| (?P.*)$' - - labels: - traceId: - level: - logger: + spanId: \ No newline at end of file