diff --git a/.github/workflows/ci-python.yml b/.github/workflows/ci-python.yml new file mode 100644 index 00000000..5055aea3 --- /dev/null +++ b/.github/workflows/ci-python.yml @@ -0,0 +1,147 @@ +name: CI (Python/FastAPI) + +on: + push: + branches: + - main + paths: + - "apps/pre-processing-service/**" # Python 서비스 경로 + pull_request: + types: [opened, synchronize, reopened, ready_for_review] + branches: + - main + - develop + - release/** + paths: + - "apps/pre-processing-service/**" # Python 서비스 경로 + +permissions: + contents: read + packages: write + security-events: write + checks: write + pull-requests: write + +jobs: + lint: + if: github.event.pull_request.draft == false + name: Lint & Format Check + runs-on: ubuntu-latest + + defaults: + run: + working-directory: apps/pre-processing-service + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + + - name: Load cached venv + id: cached-poetry-dependencies + uses: actions/cache@v4 + with: + path: apps/pre-processing-service/.venv + key: venv-${{ runner.os }}-${{ hashFiles('apps/pre-processing-service/poetry.lock') }} + + - name: Install dependencies + if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' + run: poetry install --no-interaction --no-root + + - name: Run Formatter Check (Black) + run: poetry run black --check . + + # - name: Run Linter (Ruff) + # run: poetry run ruff check . + + test: + name: Run Tests + runs-on: ubuntu-latest + needs: lint + + defaults: + run: + working-directory: apps/pre-processing-service + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + + - name: Load cached venv + id: cached-poetry-dependencies + uses: actions/cache@v4 + with: + path: apps/pre-processing-service/.venv + key: venv-${{ runner.os }}-${{ hashFiles('apps/pre-processing-service/poetry.lock') }} + + - name: Install dependencies + if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' + run: poetry install --no-interaction --no-root + + - name: Run tests with Pytest + env: + DB_HOST: localhost + DB_PORT: 3306 + DB_USER: test_user + DB_PASS: test_pass + DB_NAME: test_db + ENV_NAME: test + run: poetry run pytest + + build-and-push-docker: + name: Build Docker Image and push to registry + runs-on: ubuntu-latest + if: github.ref == 'refs/heads/feature/python-ci' && github.event_name == 'push' + needs: + - test + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Login to Docker Registry + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Set repo lowercase + run: echo "REPO_LC=${GITHUB_REPOSITORY,,}" >> $GITHUB_ENV + + - name: Build and push Docker image + uses: docker/build-push-action@v5 + with: + context: ./apps/pre-processing-service # Dockerfile이 있는 경로 + push: true + tags: | + ghcr.io/${{ env.REPO_LC }}/pre-processing-service:latest + ghcr.io/${{ env.REPO_LC }}/pre-processing-service:${{ github.sha }} + + - name: Analyze image layers + run: | + echo "=== Image Layer Analysis ===" + docker history ghcr.io/${{ env.REPO_LC }}/pre-processing-service:latest --human --no-trunc diff --git a/apps/pre-processing-service/.dockerignore b/apps/pre-processing-service/.dockerignore new file mode 100644 index 00000000..51db904a --- /dev/null +++ b/apps/pre-processing-service/.dockerignore @@ -0,0 +1,20 @@ +.git +.gitignore +**/__pycache__/ +**/*.pyc +**/.pytest_cache/ +**/.mypy_cache/ +**/.ruff_cache/ +**/.venv/ +**/node_modules/ +**/dist/ +**/build/ +tests/ +docs/ +scripts/ +.github/ +.env +.env.* +*.log +pytest-report.xml +coverage.xml diff --git a/apps/pre-processing-service/Dockerfile b/apps/pre-processing-service/Dockerfile index 073dea33..69b7cacd 100644 --- a/apps/pre-processing-service/Dockerfile +++ b/apps/pre-processing-service/Dockerfile @@ -1,18 +1,35 @@ +# ---- builder ---- FROM python:3.11-slim AS builder WORKDIR /app + +# 필수 OS 패키지 RUN apt-get update && apt-get install -y --no-install-recommends curl \ && rm -rf /var/lib/apt/lists/* + +# Poetry 설치 RUN curl -sSL https://install.python-poetry.org | python3 - ENV PATH="/root/.local/bin:$PATH" -RUN poetry config virtualenvs.create false +RUN poetry self add "poetry-plugin-export>=1.7.0" +# 런타임 가상환경 +RUN python -m venv /opt/venv +ENV PATH="/opt/venv/bin:$PATH" + +# 의존성 해결 → requirements로 export → pip로 설치(= 반드시 /opt/venv에 설치됨) COPY pyproject.toml poetry.lock ./ -RUN poetry install --no-root +RUN poetry export --without dev -f requirements.txt -o requirements.txt \ + && pip install --no-cache-dir -r requirements.txt +# ---- runtime ---- FROM python:3.11-slim AS final WORKDIR /app -# site-packages + 콘솔 스크립트(gunicorn/uvicorn) 함께 복사 -COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages -COPY --from=builder /usr/local/bin /usr/local/bin -COPY ./app ./app -EXPOSE 8000 -CMD ["gunicorn", "-w", "2", "-k", "uvicorn.workers.UvicornWorker", "-b", "0.0.0.0:8000", "app.main:app"] + +# /opt/venv 복사 +COPY --from=builder /opt/venv /opt/venv +ENV PATH="/opt/venv/bin:$PATH" + +# 앱 소스 +COPY . . + + +# (권장 대안) 코드에서 uvicorn import 안 하고 프로세스 매니저로 실행하려면: +CMD ["gunicorn", "-k", "uvicorn.workers.UvicornWorker", "app.main:app", "-b", "0.0.0.0:8000"] diff --git a/apps/pre-processing-service/app/api/endpoints/blog.py b/apps/pre-processing-service/app/api/endpoints/blog.py index 85c6924c..04ae0b14 100644 --- a/apps/pre-processing-service/app/api/endpoints/blog.py +++ b/apps/pre-processing-service/app/api/endpoints/blog.py @@ -8,18 +8,29 @@ router = APIRouter() + @router.get("/", summary="블로그 API 상태 확인") async def root(): return {"message": "blog API"} -@router.post("/rag/create", response_model=ResponseBlogCreate, summary="RAG 기반 블로그 콘텐츠 생성") + +@router.post( + "/rag/create", + response_model=ResponseBlogCreate, + summary="RAG 기반 블로그 콘텐츠 생성", +) async def rag_create(request: RequestBlogCreate): """ RAG 기반 블로그 콘텐츠 생성 """ return {"message": "blog API"} -@router.post("/publish", response_model=ResponseBlogPublish, summary="블로그 콘텐츠 배포 (네이버/티스토리/블로거 지원)") + +@router.post( + "/publish", + response_model=ResponseBlogPublish, + summary="블로그 콘텐츠 배포 (네이버/티스토리/블로거 지원)", +) async def publish(request: RequestBlogPublish): """ 생성된 블로그 콘텐츠를 배포합니다. @@ -31,17 +42,15 @@ async def publish(request: RequestBlogPublish): result = naver_service.post_content( title=request.post_title, content=request.post_content, - tags=request.post_tags + tags=request.post_tags, ) if not result: - raise CustomException("네이버 블로그 포스팅에 실패했습니다.", status_code=500) + raise CustomException( + "네이버 블로그 포스팅에 실패했습니다.", status_code=500 + ) return ResponseBlogPublish( - job_id= 1, - schedule_id= 1, - schedule_his_id= 1, - status="200", - metadata=result + job_id=1, schedule_id=1, schedule_his_id=1, status="200", metadata=result ) elif request.tag == "tistory": @@ -49,18 +58,16 @@ async def publish(request: RequestBlogPublish): result = tistory_service.post_content( title=request.post_title, content=request.post_content, - tags=request.post_tags + tags=request.post_tags, ) if not result: - raise CustomException("티스토리 블로그 포스팅에 실패했습니다.", status_code=500) + raise CustomException( + "티스토리 블로그 포스팅에 실패했습니다.", status_code=500 + ) return ResponseBlogPublish( - job_id= 1, - schedule_id= 1, - schedule_his_id= 1, - status="200", - metadata=result + job_id=1, schedule_id=1, schedule_his_id=1, status="200", metadata=result ) elif request.tag == "blogger": @@ -68,16 +75,14 @@ async def publish(request: RequestBlogPublish): result = blogger_service.post_content( title=request.post_title, content=request.post_content, - tags=request.post_tags + tags=request.post_tags, ) if not result: - raise CustomException("블로거 블로그 포스팅에 실패했습니다.", status_code=500) + raise CustomException( + "블로거 블로그 포스팅에 실패했습니다.", status_code=500 + ) return ResponseBlogPublish( - job_id= 1, - schedule_id= 1, - schedule_his_id= 1, - status="200", - metadata=result - ) \ No newline at end of file + job_id=1, schedule_id=1, schedule_his_id=1, status="200", metadata=result + ) diff --git a/apps/pre-processing-service/app/api/endpoints/keywords.py b/apps/pre-processing-service/app/api/endpoints/keywords.py index 22c23fa6..2b407d6d 100644 --- a/apps/pre-processing-service/app/api/endpoints/keywords.py +++ b/apps/pre-processing-service/app/api/endpoints/keywords.py @@ -14,7 +14,9 @@ async def root(): return {"message": "keyword API"} -@router.post("/search", response_model=ResponseNaverSearch, summary="네이버 키워드 검색") +@router.post( + "/search", response_model=ResponseNaverSearch, summary="네이버 키워드 검색" +) async def search(request: RequestNaverSearch): """ 이 엔드포인트는 JSON 요청으로 네이버 키워드 검색을 수행합니다. @@ -34,7 +36,11 @@ async def search(request: RequestNaverSearch): return response_data -@router.post("/ssadagu/validate", response_model=ResponseNaverSearch, summary="사다구몰 키워드 검증") +@router.post( + "/ssadagu/validate", + response_model=ResponseNaverSearch, + summary="사다구몰 키워드 검증", +) async def ssadagu_validate(request: RequestNaverSearch): """ 사다구몰 키워드 검증 테스트용 엔드포인트 diff --git a/apps/pre-processing-service/app/api/endpoints/product.py b/apps/pre-processing-service/app/api/endpoints/product.py index 023096f8..d3881ed6 100644 --- a/apps/pre-processing-service/app/api/endpoints/product.py +++ b/apps/pre-processing-service/app/api/endpoints/product.py @@ -1,6 +1,10 @@ from fastapi import APIRouter, Request, HTTPException from app.decorators.logging import log_api_call -from ...errors.CustomException import InvalidItemDataException, ItemNotFoundException, CustomException +from ...errors.CustomException import ( + InvalidItemDataException, + ItemNotFoundException, + CustomException, +) from ...service.crawl_service import CrawlService from ...service.search_service import SearchService from ...service.match_service import MatchService @@ -56,7 +60,9 @@ async def match(request: RequestSadaguMatch): raise HTTPException(status_code=500, detail=str(e)) -@router.post("/similarity", response_model=ResponseSadaguSimilarity, summary="상품 유사도 분석") +@router.post( + "/similarity", response_model=ResponseSadaguSimilarity, summary="상품 유사도 분석" +) async def similarity(request: RequestSadaguSimilarity): """ 매칭된 상품들 중 키워드와의 유사도를 계산하여 최적의 상품을 선택합니다. @@ -66,7 +72,9 @@ async def similarity(request: RequestSadaguSimilarity): result = similarity_service.select_product_by_similarity(request) if not result: - raise CustomException(500, "유사도 분석에 실패했습니다.", "SIMILARITY_FAILED") + raise CustomException( + 500, "유사도 분석에 실패했습니다.", "SIMILARITY_FAILED" + ) return result except InvalidItemDataException as e: @@ -75,7 +83,9 @@ async def similarity(request: RequestSadaguSimilarity): raise HTTPException(status_code=500, detail=str(e)) -@router.post("/crawl", response_model=ResponseSadaguCrawl, summary="상품 상세 정보 크롤링") +@router.post( + "/crawl", response_model=ResponseSadaguCrawl, summary="상품 상세 정보 크롤링" +) async def crawl(request: Request, body: RequestSadaguCrawl): """ 상품 상세 페이지를 크롤링하여 상세 정보를 수집합니다. diff --git a/apps/pre-processing-service/app/api/endpoints/test.py b/apps/pre-processing-service/app/api/endpoints/test.py index 9225c7cd..6ed44d08 100644 --- a/apps/pre-processing-service/app/api/endpoints/test.py +++ b/apps/pre-processing-service/app/api/endpoints/test.py @@ -1,4 +1,5 @@ # app/api/endpoints/embedding.py +import loguru from fastapi import APIRouter from sqlalchemy import text @@ -13,23 +14,25 @@ from ...service.match_service import MatchService from ...service.search_service import SearchService from ...service.similarity_service import SimilarityService -from ...db.db_connecter import engine # ✅ 우리가 만든 DB 유틸 임포트 +from ...db.db_connecter import engine # ✅ 우리가 만든 DB 유틸 임포트 + # 이 파일만의 독립적인 라우터를 생성합니다. router = APIRouter() + @router.get("/") async def root(): return {"message": "테스트 API"} -@router.get("/hello/{name}" , tags=["hello"]) +@router.get("/hello/{name}", tags=["hello"]) # @log_api_call async def say_hello(name: str): return {"message": f"Hello {name}"} # 특정 경로에서 의도적으로 에러 발생 -#커스텀에러 테스터 url +# 커스텀에러 테스터 url @router.get("/error/{item_id}") async def trigger_error(item_id: int): if item_id == 0: @@ -41,8 +44,8 @@ async def trigger_error(item_id: int): if item_id == 500: raise ValueError("이것은 테스트용 값 오류입니다.") + return {"result": item_id} - return {"result": item_id}\ @router.get("/db-test", tags=["db"]) async def db_test(): @@ -55,71 +58,68 @@ async def db_test(): except Exception as e: return {"status": "error", "detail": str(e)} + def with_meta(data: Mapping[str, Any], meta: Mapping[str, Any]) -> Dict[str, Any]: """요청 payload + 공통 meta 머지""" return {**meta, **data} -@router.get("/tester",response_model=None) + +@router.get("/tester", response_model=None) async def processing_tester(): meta = { "job_id": 1, "schedule_id": 1, - "schedule_his_id": 1, # ✅ 타이포 수정 + "schedule_his_id": 1, # ✅ 타이포 수정 } - request_dict = { - "tag":"naver", - "category":"50000000", - "start_date":"2025-09-01", - "end_date":"2025-09-02" + request_dict = { + "tag": "naver", + "category": "50000000", + "start_date": "2025-09-01", + "end_date": "2025-09-02", } - #네이버 키워드 검색 - naver_request = RequestNaverSearch(**with_meta(meta,request_dict)) + # 네이버 키워드 검색 + naver_request = RequestNaverSearch(**with_meta(meta, request_dict)) response_data = await keyword_search(naver_request) keyword = response_data.get("keyword") - print(keyword) + loguru.logger.info(keyword) - keyword ={ - "keyword" : keyword, + keyword = { + "keyword": keyword, } - #싸다구 상품 검색 + # 싸다구 상품 검색 sadagu_request = RequestSadaguSearch(**with_meta(meta, keyword)) search_service = SearchService() keyword_result = await search_service.search_products(sadagu_request) - print(keyword_result) + loguru.logger.info(keyword_result) - #싸다구 상품 매치 + # 싸다구 상품 매치 keyword["search_results"] = keyword_result.get("search_results") keyword_match_request = RequestSadaguMatch(**with_meta(meta, keyword)) match_service = MatchService() keyword_match_response = match_service.match_products(keyword_match_request) - print(keyword_match_response) + loguru.logger.info(keyword_match_response) - #싸다구 상품 유사도 분석 + # 싸다구 상품 유사도 분석 keyword["matched_products"] = keyword_match_response.get("matched_products") keyword_similarity_request = RequestSadaguSimilarity(**with_meta(meta, keyword)) similarity_service = SimilarityService() keyword_similarity_response = similarity_service.select_product_by_similarity( keyword_similarity_request ) - print(keyword_similarity_response) - - #싸다구 상품 크롤링 + loguru.logger.info(keyword_similarity_response) + # 싸다구 상품 크롤링 + # 블로그 생성 - #블로그 생성 - - - - #블로그 배포 + # 블로그 배포 tistory_service = TistoryBlogPostService() result = tistory_service.post_content( - title = "안녕하살법", - content = "안녕하살법 받아치기", - tags= ["퉁퉁퉁사후르","짜라짜라"] + title="안녕하살법", + content="안녕하살법 받아치기러기 코드 받아치기", + tags=["퉁퉁퉁사후르", "짜라짜라"], ) - print(result) - + loguru.logger.info(result) - return "구웃" \ No newline at end of file + return "구웃" diff --git a/apps/pre-processing-service/app/api/router.py b/apps/pre-processing-service/app/api/router.py index dce62c5c..99286cf6 100644 --- a/apps/pre-processing-service/app/api/router.py +++ b/apps/pre-processing-service/app/api/router.py @@ -11,22 +11,21 @@ # processing API URL api_router.include_router(blog.router, prefix="/blogs", tags=["blog"]) -#상품 API URL +# 상품 API URL api_router.include_router(product.router, prefix="/products", tags=["product"]) -#모듈 테스터를 위한 endpoint -> 추후 삭제 예정 +# 모듈 테스터를 위한 endpoint -> 추후 삭제 예정 api_router.include_router(test.router, prefix="/tests", tags=["Test"]) + @api_router.get("/ping") async def root(): return {"message": "서버 실행중입니다."} + @api_router.get("/db") def get_settings(): """ 환경 변수가 올바르게 로드되었는지 확인하는 엔드포인트 """ - return { - "환경": settings.env_name, - "데이터베이스 URL": settings.db_url - } + return {"환경": settings.env_name, "데이터베이스 URL": settings.db_url} diff --git a/apps/pre-processing-service/app/core/config.py b/apps/pre-processing-service/app/core/config.py index aab10515..ed54cc69 100644 --- a/apps/pre-processing-service/app/core/config.py +++ b/apps/pre-processing-service/app/core/config.py @@ -11,14 +11,19 @@ def detect_mecab_dicdir() -> Optional[str]: # 1. mecab-config 명령어로 사전 경로 확인 (가장 정확한 방법) try: - result = subprocess.run(['mecab-config', '--dicdir'], - capture_output=True, text=True, timeout=5) + result = subprocess.run( + ["mecab-config", "--dicdir"], capture_output=True, text=True, timeout=5 + ) if result.returncode == 0: dicdir = result.stdout.strip() if os.path.exists(dicdir): print(f"mecab-config에서 사전 경로 발견: {dicdir}") return dicdir - except (subprocess.CalledProcessError, FileNotFoundError, subprocess.TimeoutExpired): + except ( + subprocess.CalledProcessError, + FileNotFoundError, + subprocess.TimeoutExpired, + ): pass # 2. 플랫폼별 일반적인 경로들 확인 @@ -29,7 +34,7 @@ def detect_mecab_dicdir() -> Optional[str]: "/opt/homebrew/lib/mecab/dic/mecab-ko-dic", # Apple Silicon "/usr/local/lib/mecab/dic/mecab-ko-dic", # Intel Mac "/opt/homebrew/lib/mecab/dic/mecab-ipadic", # 기본 사전 - "/usr/local/lib/mecab/dic/mecab-ipadic" + "/usr/local/lib/mecab/dic/mecab-ipadic", ] elif system == "linux": candidate_paths = [ @@ -38,13 +43,13 @@ def detect_mecab_dicdir() -> Optional[str]: "/usr/local/lib/mecab/dic/mecab-ko-dic", "/usr/share/mecab/dic/mecab-ko-dic", "/usr/lib/mecab/dic/mecab-ipadic", - "/usr/local/lib/mecab/dic/mecab-ipadic" + "/usr/local/lib/mecab/dic/mecab-ipadic", ] elif system == "windows": candidate_paths = [ "C:/Program Files/MeCab/dic/mecab-ko-dic", "C:/mecab/dic/mecab-ko-dic", - "C:/Program Files/MeCab/dic/mecab-ipadic" + "C:/Program Files/MeCab/dic/mecab-ipadic", ] else: candidate_paths = [] @@ -60,6 +65,7 @@ def detect_mecab_dicdir() -> Optional[str]: return None + # 공통 설정을 위한 BaseSettings class BaseSettingsConfig(BaseSettings): @@ -74,14 +80,6 @@ class BaseSettingsConfig(BaseSettings): # MeCab 사전 경로 (자동 감지) mecab_path: Optional[str] = None - # 외부 서비스 계정 정보 - naver_id: Optional[str] = None - naver_password: Optional[str] = None - tistory_blog_name: Optional[str] = None - tistory_blog_url: Optional[str] = None - tistory_id: Optional[str] = None - tistory_password: Optional[str] = None - def __init__(self, **kwargs): super().__init__(**kwargs) @@ -94,22 +92,23 @@ def __init__(self, **kwargs): @property def db_url(self) -> str: """개별 필드를 사용하여 DB URL을 동적으로 생성""" - return( + return ( f"mysql+pymysql://{self.db_user}:" f"{self.db_pass}" f"@{self.db_host}:{self.db_port}/{self.db_name}" ) - model_config = SettingsConfigDict(env_file=['.env']) + model_config = SettingsConfigDict(env_file=[".env"]) # 환경별 설정 클래스 class DevSettings(BaseSettingsConfig): - model_config = SettingsConfigDict(env_file=['.env', '.env.dev']) + model_config = SettingsConfigDict(env_file=[".env", ".env.dev"]) class PrdSettings(BaseSettingsConfig): - model_config = SettingsConfigDict(env_file=['.env', '.env.prod']) + model_config = SettingsConfigDict(env_file=[".env", ".env.prod"]) + def get_settings() -> BaseSettingsConfig: """환경 변수에 따라 적절한 설정 객체를 반환하는 함수""" @@ -122,4 +121,4 @@ def get_settings() -> BaseSettingsConfig: raise ValueError(f"Invalid MODE environment variable: {mode}") -settings = get_settings() \ No newline at end of file +settings = get_settings() diff --git a/apps/pre-processing-service/app/db/AsyncPostgreSQLManager.py b/apps/pre-processing-service/app/db/AsyncPostgreSQLManager.py index a6152755..c783e8c8 100644 --- a/apps/pre-processing-service/app/db/AsyncPostgreSQLManager.py +++ b/apps/pre-processing-service/app/db/AsyncPostgreSQLManager.py @@ -44,11 +44,11 @@ def __init__(self): self._pool = None self._config = { - 'host': os.getenv('DB_HOST', '52.79.235.214'), - 'port': int(os.getenv('DB_PORT', 5432)), - 'database': os.getenv('DB_NAME', 'pre_process'), - 'user': os.getenv('DB_USER', 'postgres'), - 'password': os.getenv('DB_PASSWORD', 'qwer1234') + "host": os.getenv("DB_HOST", "52.79.235.214"), + "port": int(os.getenv("DB_PORT", 5432)), + "database": os.getenv("DB_NAME", "pre_process"), + "user": os.getenv("DB_USER", "postgres"), + "password": os.getenv("DB_PASSWORD", "qwer1234"), } self._initialized = True @@ -72,9 +72,7 @@ async def init_pool(self, min_size=5, max_size=20): if self._pool is None: self._pool = await asyncpg.create_pool( - min_size=min_size, - max_size=max_size, - **self._config + min_size=min_size, max_size=max_size, **self._config ) return self._pool @@ -182,8 +180,9 @@ async def close_pool(self): self._pool = None print("비동기 DB 연결 풀 전체 종료") + """ # 사용 예시 init_pool() - 애플리케이션 시작 시 단 한번만 호출 (main.py에서 실행, early startup) -""" \ No newline at end of file +""" diff --git a/apps/pre-processing-service/app/db/PostgreSQLManager.py b/apps/pre-processing-service/app/db/PostgreSQLManager.py index 606f7b5c..ca3ccede 100644 --- a/apps/pre-processing-service/app/db/PostgreSQLManager.py +++ b/apps/pre-processing-service/app/db/PostgreSQLManager.py @@ -5,6 +5,7 @@ import os import threading + class PostgreSQLManager: """ PostgreSQL 매니저 클래스 @@ -42,11 +43,11 @@ def __init__(self): self._pool = None self._config = { - 'host': os.getenv('DB_HOST', '52.79.235.214'), - 'port': int(os.getenv('DB_PORT', '5432')), - 'database': os.getenv('DB_NAME', 'pre_process'), - 'user': os.getenv('DB_USER', 'postgres'), - 'password': os.getenv('DB_PASSWORD', 'qwer1234') + "host": os.getenv("DB_HOST", "52.79.235.214"), + "port": int(os.getenv("DB_PORT", "5432")), + "database": os.getenv("DB_NAME", "pre_process"), + "user": os.getenv("DB_USER", "postgres"), + "password": os.getenv("DB_PASSWORD", "qwer1234"), } self._initialized = True @@ -130,6 +131,7 @@ def close_pool(self): self._pool = None print("DB 연결 풀 전체 종료") + """ # get_cursor 사용 예시 : 리소스 자동 정리 try: @@ -139,4 +141,4 @@ def close_pool(self): except Exception as e: print(f"에러 발생: {e}") # 자동으로 롤백, 커서 닫기, 커넥션 반환 수행 -""" \ No newline at end of file +""" diff --git a/apps/pre-processing-service/app/db/db_connecter.py b/apps/pre-processing-service/app/db/db_connecter.py index 2612cd65..027d924d 100644 --- a/apps/pre-processing-service/app/db/db_connecter.py +++ b/apps/pre-processing-service/app/db/db_connecter.py @@ -5,4 +5,4 @@ engine = create_engine( settings.db_url, pool_pre_ping=True, # 연결 유효성 체크 -) \ No newline at end of file +) diff --git a/apps/pre-processing-service/app/db/mariadb_manager.py b/apps/pre-processing-service/app/db/mariadb_manager.py index 225de471..63288b13 100644 --- a/apps/pre-processing-service/app/db/mariadb_manager.py +++ b/apps/pre-processing-service/app/db/mariadb_manager.py @@ -6,6 +6,7 @@ from dotenv import load_dotenv from dbutils.pooled_db import PooledDB + class MariadbManager: """ MariaDB 매니저 클래스 @@ -43,17 +44,20 @@ def __init__(self): return self._config = { - 'host': os.getenv('DB_HOST', 'localhost'), - 'port': int(os.getenv('DB_PORT', '3306')), - 'database': os.getenv('DB_NAME', 'pre_process'), - 'user': os.getenv('DB_USER', 'mariadb'), - 'password': os.getenv('DB_PASSWORD', 'qwer1234'), - 'autocommit': False + "host": os.getenv("DB_HOST", "localhost"), + "port": int(os.getenv("DB_PORT", "3306")), + "database": os.getenv("DB_NAME", "pre_process"), + "user": os.getenv("DB_USER", "mariadb"), + "password": os.getenv("DB_PASSWORD", "qwer1234"), + "autocommit": False, } - required_keys = ['host', 'database', 'user', 'password'] - missing = [k for k, v in self._config.items() - if k in required_keys and (v is None or v == '')] + required_keys = ["host", "database", "user", "password"] + missing = [ + k + for k, v in self._config.items() + if k in required_keys and (v is None or v == "") + ] if missing: raise ValueError(f"필수 데이터베이스 설정이 누락되었습니다: {missing}") @@ -79,7 +83,7 @@ def _init_pool(self, pool_size=20): maxusage=None, setsession=[], ping=0, - **config + **config, ) except pymysql.Error as e: raise Exception(f"MariaDB 커넥션 풀 초기화 실패: {e}") diff --git a/apps/pre-processing-service/app/decorators/logging.py b/apps/pre-processing-service/app/decorators/logging.py index 145cb0a0..23604a73 100644 --- a/apps/pre-processing-service/app/decorators/logging.py +++ b/apps/pre-processing-service/app/decorators/logging.py @@ -16,7 +16,7 @@ def log_api_call(func): async def wrapper(*args, **kwargs): # 1. request 객체를 안전하게 가져옵니다. # kwargs에서 'request'를 찾고, 없으면 args가 비어있지 않은 경우에만 args[0]을 시도합니다. - request: Request | None = kwargs.get('request') + request: Request | None = kwargs.get("request") if request is None and args and isinstance(args[0], Request): request = args[0] @@ -28,19 +28,17 @@ async def wrapper(*args, **kwargs): user_agent = request.headers.get("user-agent", "N/A") # 3. 요청 정보를 로그로 기록합니다. - log_context = { - "func": func.__name__, - "ip": client_ip, - "user_agent": user_agent - } + log_context = {"func": func.__name__, "ip": client_ip, "user_agent": user_agent} if request: - log_context.update({ - "url": str(request.url), - "method": request.method, - }) + log_context.update( + { + "url": str(request.url), + "method": request.method, + } + ) logger.info( "API 호출 시작: URL='{url}' 메서드='{method}' 함수='{func}' IP='{ip}' User-Agent='{user_agent}'", - **log_context + **log_context, ) else: logger.info("API 호출 시작: 함수='{func}'", **log_context) @@ -61,12 +59,12 @@ async def wrapper(*args, **kwargs): if request: logger.error( "API 호출 실패: URL='{url}' 메서드='{method}' IP='{ip}' 예외='{exception}' ({elapsed})", - **log_context + **log_context, ) else: logger.error( "API 호출 실패: 함수='{func}' 예외='{exception}' ({elapsed})", - **log_context + **log_context, ) raise # 예외를 다시 발생시켜 FastAPI가 처리하도록 합니다. finally: @@ -77,12 +75,11 @@ async def wrapper(*args, **kwargs): if request: logger.success( "API 호출 성공: URL='{url}' 메서드='{method}' IP='{ip}' ({elapsed})", - **log_context + **log_context, ) else: logger.success( - "API 호출 성공: 함수='{func}' ({elapsed})", - **log_context + "API 호출 성공: 함수='{func}' ({elapsed})", **log_context ) - return wrapper \ No newline at end of file + return wrapper diff --git a/apps/pre-processing-service/app/errors/BlogPostingException.py b/apps/pre-processing-service/app/errors/BlogPostingException.py index d8a70c2f..f0d49484 100644 --- a/apps/pre-processing-service/app/errors/BlogPostingException.py +++ b/apps/pre-processing-service/app/errors/BlogPostingException.py @@ -1,92 +1,110 @@ from app.errors.CustomException import CustomException from typing import List, Optional + class BlogLoginException(CustomException): """ 블로그 로그인 실패 예외 @:param platform: 로그인하려는 플랫폼 (네이버, 티스토리 등) @:param reason: 로그인 실패 이유 """ + def __init__(self, platform: str, reason: str = "인증 정보가 올바르지 않습니다"): super().__init__( status_code=401, detail=f"{platform} 로그인에 실패했습니다. {reason}", - code="BLOG_LOGIN_FAILED" + code="BLOG_LOGIN_FAILED", ) + class BlogPostPublishException(CustomException): """ 블로그 포스트 발행 실패 예외 @:param platform: 발행하려는 플랫폼 @:param reason: 발행 실패 이유 """ - def __init__(self, platform: str, reason: str = "포스트 발행 중 오류가 발생했습니다"): + + def __init__( + self, platform: str, reason: str = "포스트 발행 중 오류가 발생했습니다" + ): super().__init__( status_code=422, detail=f"{platform} 포스트 발행에 실패했습니다. {reason}", - code="BLOG_POST_PUBLISH_FAILED" + code="BLOG_POST_PUBLISH_FAILED", ) + class BlogContentValidationException(CustomException): """ 블로그 콘텐츠 유효성 검사 실패 예외 @:param field: 유효성 검사 실패한 필드 @:param reason: 실패 이유 """ + def __init__(self, field: str, reason: str): super().__init__( status_code=400, detail=f"콘텐츠 유효성 검사 실패: {field} - {reason}", - code="BLOG_CONTENT_VALIDATION_FAILED" + code="BLOG_CONTENT_VALIDATION_FAILED", ) + class BlogElementInteractionException(CustomException): """ 블로그 페이지 요소와의 상호작용 실패 예외 @:param element: 상호작용하려던 요소 @:param action: 수행하려던 액션 """ + def __init__(self, element: str, action: str): super().__init__( status_code=422, detail=f"블로그 페이지 요소 상호작용 실패: {element}에서 {action} 작업 실패", - code="BLOG_ELEMENT_INTERACTION_FAILED" + code="BLOG_ELEMENT_INTERACTION_FAILED", ) + class BlogServiceUnavailableException(CustomException): """ 블로그 서비스 이용 불가 예외 @:param platform: 이용 불가한 플랫폼 @:param reason: 이용 불가 이유 """ - def __init__(self, platform: str, reason: str = "서비스가 일시적으로 이용 불가합니다"): + + def __init__( + self, platform: str, reason: str = "서비스가 일시적으로 이용 불가합니다" + ): super().__init__( status_code=503, detail=f"{platform} 서비스 이용 불가: {reason}", - code="BLOG_SERVICE_UNAVAILABLE" + code="BLOG_SERVICE_UNAVAILABLE", ) + class BlogConfigurationException(CustomException): """ 블로그 서비스 설정 오류 예외 @:param config_item: 설정 오류 항목 """ + def __init__(self, config_item: str): super().__init__( status_code=500, detail=f"블로그 서비스 설정 오류: {config_item}", - code="BLOG_CONFIGURATION_ERROR" + code="BLOG_CONFIGURATION_ERROR", ) + class BloggerApiException(CustomException): """ Blogger API 관련 오류 예외 @:param reason: 실패 이유 @:param detail: 상세 오류 메시지 """ + def __init__(self, reason: str, detail: str): super().__init__( status_code=500, detail=f"Blogger API 오류: {reason} ({detail})", - code="BLOGGER_API_ERROR" - ) \ No newline at end of file + code="BLOGGER_API_ERROR", + ) diff --git a/apps/pre-processing-service/app/errors/CrawlingException.py b/apps/pre-processing-service/app/errors/CrawlingException.py index 1928e30f..4db0ff43 100644 --- a/apps/pre-processing-service/app/errors/CrawlingException.py +++ b/apps/pre-processing-service/app/errors/CrawlingException.py @@ -1,27 +1,31 @@ from app.errors.CustomException import CustomException from typing import List + class PageLoadTimeoutException(CustomException): """ 페이지 로드 타임아웃 예외 @:param url: 로드하려는 페이지의 URL """ - def __init__(self, url : str): + + def __init__(self, url: str): super().__init__( status_code=408, detail=f"페이지 로드가 시간 초과되었습니다. URL: {url}", - code="PAGE_LOAD_TIMEOUT" + code="PAGE_LOAD_TIMEOUT", ) + class WebDriverConnectionException(CustomException): """ 웹 드라이버 연결 실패 예외 """ + def __init__(self): super().__init__( status_code=500, detail="웹 드라이버 연결에 실패했습니다.", - code="WEBDRIVER_ERROR" + code="WEBDRIVER_ERROR", ) @@ -30,34 +34,38 @@ class ElementNotFoundException(CustomException): 특정 HTML 요소를 찾을 수 없는 예외 @:param selector: 찾으려는 요소의 CSS 선택자 """ + def __init__(self, selector: str): super().__init__( status_code=404, detail=f"요소를 찾을 수 없습니다. 선택자: {selector}", - code="ELEMENT_NOT_FOUND" + code="ELEMENT_NOT_FOUND", ) + class HtmlParsingException(CustomException): """ HTML 파싱 실패 예외 @:param reason: 파싱 실패 이유 """ + def __init__(self, reason: str): super().__init__( status_code=422, detail=f"HTML 파싱에 실패했습니다. 이유: {reason}", - code="HTML_PARSING_ERROR" + code="HTML_PARSING_ERROR", ) + class DataExtractionException(CustomException): """ 데이터 추출 실패 예외 @:param field: 추출하려는 데이터 필드 목록 """ + def __init__(self, field: List[str]): super().__init__( status_code=422, detail=f"데이터 추출에 실패했습니다. 필드: {', '.join(field)}", - code="DATA_EXTRACTION_ERROR" + code="DATA_EXTRACTION_ERROR", ) - diff --git a/apps/pre-processing-service/app/errors/CustomException.py b/apps/pre-processing-service/app/errors/CustomException.py index 4c3f84a3..0ae08734 100644 --- a/apps/pre-processing-service/app/errors/CustomException.py +++ b/apps/pre-processing-service/app/errors/CustomException.py @@ -3,42 +3,49 @@ class CustomException(Exception): """ 개발자가 비지니스 로직에 맞게 의도적으로 에러를 정의 """ + def __init__(self, status_code: int, detail: str, code: str): self.status_code = status_code self.detail = detail self.code = code + # 구체적인 커스텀 예외 정의 class ItemNotFoundException(CustomException): """ 아이템을 찾을수 없는 예외 @:param item_id: 찾을수 없는 아이템의 ID """ + def __init__(self, item_id: int): super().__init__( status_code=404, detail=f"{item_id}를 찾을수 없습니다.", - code="ITEM_NOT_FOUND" + code="ITEM_NOT_FOUND", ) + class InvalidItemDataException(CustomException): """ 데이터 유효성 검사 실패 예외 """ + def __init__(self): super().__init__( status_code=422, detail="데이터가 유효하지않습니다..", - code="INVALID_ITEM_DATA" + code="INVALID_ITEM_DATA", ) + class DatabaseConnectionException(CustomException): """ 데이터베이스 연결 실패 예외 """ + def __init__(self): super().__init__( status_code=500, detail="데이터베이스 연결에 실패했습니다.", - code="DATABASE_CONNECTION_ERROR" - ) \ No newline at end of file + code="DATABASE_CONNECTION_ERROR", + ) diff --git a/apps/pre-processing-service/app/errors/handlers.py b/apps/pre-processing-service/app/errors/handlers.py index 1b5caf3d..882a6078 100644 --- a/apps/pre-processing-service/app/errors/handlers.py +++ b/apps/pre-processing-service/app/errors/handlers.py @@ -6,15 +6,18 @@ from .messages import ERROR_MESSAGES, get_error_message from ..errors.CustomException import CustomException + class ErrorBaseModel(BaseModel): """ 모든 에러 응답의 기반이 되는 Pydantic 모델. API의 에러 응답 형식을 통일하는 역할을 합니다. """ + status_code: int detail: str code: str + # CustomException 핸들러 async def custom_exception_handler(request: Request, exc: CustomException): """ @@ -22,9 +25,7 @@ async def custom_exception_handler(request: Request, exc: CustomException): """ # 변경점: ErrorBaseModel을 사용하여 응답 본문 생성 error_content = ErrorBaseModel( - status_code=exc.status_code, - detail=exc.detail, - code=exc.code + status_code=exc.status_code, detail=exc.detail, code=exc.code ) return JSONResponse( status_code=exc.status_code, @@ -41,9 +42,7 @@ async def http_exception_handler(request: Request, exc: StarletteHTTPException): # 변경점: ErrorBaseModel을 사용하여 응답 본문 생성 error_content = ErrorBaseModel( - status_code=exc.status_code, - detail=message, - code=f"HTTP_{exc.status_code}" + status_code=exc.status_code, detail=message, code=f"HTTP_{exc.status_code}" ) return JSONResponse( status_code=exc.status_code, @@ -60,7 +59,7 @@ async def validation_exception_handler(request: Request, exc: RequestValidationE base_error = ErrorBaseModel( status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=ERROR_MESSAGES[status.HTTP_422_UNPROCESSABLE_ENTITY], - code="VALIDATION_ERROR" + code="VALIDATION_ERROR", ) # 모델의 내용과 추가적인 'details' 필드를 결합 @@ -82,7 +81,7 @@ async def unhandled_exception_handler(request: Request, exc: Exception): error_content = ErrorBaseModel( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=ERROR_MESSAGES[status.HTTP_500_INTERNAL_SERVER_ERROR], - code="INTERNAL_SERVER_ERROR" + code="INTERNAL_SERVER_ERROR", ) return JSONResponse( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, diff --git a/apps/pre-processing-service/app/main.py b/apps/pre-processing-service/app/main.py index d13c523d..9865d845 100644 --- a/apps/pre-processing-service/app/main.py +++ b/apps/pre-processing-service/app/main.py @@ -12,11 +12,7 @@ from app.errors.handlers import * # --- FastAPI 애플리케이션 인스턴스 생성 --- -app = FastAPI( - title="pre-processing-service", - description="", - version="1.0.0" -) +app = FastAPI(title="pre-processing-service", description="", version="1.0.0") # --- 예외 핸들러 등록 --- # 등록 순서가 중요합니다: 구체적인 예외부터 등록하고 가장 일반적인 예외(Exception)를 마지막에 등록합니다. diff --git a/apps/pre-processing-service/app/middleware/BackServiceLoggerDependency.py b/apps/pre-processing-service/app/middleware/BackServiceLoggerDependency.py index bbaa2cfd..d18630f6 100644 --- a/apps/pre-processing-service/app/middleware/BackServiceLoggerDependency.py +++ b/apps/pre-processing-service/app/middleware/BackServiceLoggerDependency.py @@ -121,4 +121,4 @@ # "NAVER_CRAWLING", # track_params=["job_id", "schedule_id", "tag", "category", "startDate", "endDate"], # response_trackers=["keyword", "total_keyword"] -# ) \ No newline at end of file +# ) diff --git a/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py b/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py index edb13f8b..acb120fa 100644 --- a/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py +++ b/apps/pre-processing-service/app/middleware/ServiceLoggerMiddleware.py @@ -9,7 +9,7 @@ import json import time -trace_id_context: ContextVar[str] = ContextVar('trace_id', default="NO_TRACE_ID") +trace_id_context: ContextVar[str] = ContextVar("trace_id", default="NO_TRACE_ID") class ServiceLoggerMiddleware(BaseHTTPMiddleware): @@ -37,14 +37,35 @@ def _default_mappings(self) -> Dict[str, Dict]: return { "/keywords/search": { "service_type": "NAVER_CRAWLING", - "track_params": ["keyword", "category", "startDate", "endDate", "job_id", "schedule_id"], - "response_trackers": ["keyword", "total_keywords", "results_count"] + "track_params": [ + "keyword", + "category", + "startDate", + "endDate", + "job_id", + "schedule_id", + ], + "response_trackers": ["keyword", "total_keywords", "results_count"], }, "/blogs/publish": { - "service_type": "BLOG_PUBLISH", - "track_params": ["tag", "title", "content", "tags", "job_id", "schedule_id", "schedule_his_id"], - "response_trackers": ["job_id", "schedule_id", "schedule_his_id", "status", "metadata"] - } + "service_type": "BLOG_PUBLISH", + "track_params": [ + "tag", + "title", + "content", + "tags", + "job_id", + "schedule_id", + "schedule_his_id", + ], + "response_trackers": [ + "job_id", + "schedule_id", + "schedule_his_id", + "status", + "metadata", + ], + }, } async def dispatch(self, request: Request, call_next): @@ -77,8 +98,12 @@ async def dispatch(self, request: Request, call_next): # 4. 성공 로깅 if 200 <= response.status_code < 300: await self._log_success_response( - service_type, trace_id, start_time, param_str, - response, service_config["response_trackers"] + service_type, + trace_id, + start_time, + param_str, + response, + service_config["response_trackers"], ) else: await self._log_error_response( @@ -102,9 +127,11 @@ def _get_service_config(self, url_path: str) -> Optional[Dict]: def _match_pattern(self, url_path: str, pattern: str) -> bool: """URL 패턴 매칭 (간단한 구현, 필요시 정규식으로 확장 가능)""" # 정확히 일치하거나 패턴이 접두사인 경우 - return url_path == pattern or url_path.startswith(pattern.rstrip('*')) + return url_path == pattern or url_path.startswith(pattern.rstrip("*")) - async def _extract_params(self, request: Request, track_params: List[str]) -> Dict[str, Any]: + async def _extract_params( + self, request: Request, track_params: List[str] + ) -> Dict[str, Any]: """요청에서 추적 파라미터 추출""" params = {} @@ -137,9 +164,15 @@ async def _extract_params(self, request: Request, track_params: List[str]) -> Di return params - async def _log_success_response(self, service_type: str, trace_id: str, - start_time: float, param_str: str, - response: Response, response_trackers: List[str]): + async def _log_success_response( + self, + service_type: str, + trace_id: str, + start_time: float, + param_str: str, + response: Response, + response_trackers: List[str], + ): """성공 응답 로깅""" duration = time.time() - start_time @@ -147,16 +180,16 @@ async def _log_success_response(self, service_type: str, trace_id: str, f"[{service_type}_SUCCESS]", f"trace_id={trace_id}", f"execution_time={duration:.4f}s{param_str}", - f"status_code={response.status_code}" + f"status_code={response.status_code}", ] # 응답 데이터에서 추적 정보 추출 if isinstance(response, JSONResponse) and response_trackers: try: # JSONResponse body 읽기 - if hasattr(response, 'body'): + if hasattr(response, "body"): response_data = json.loads(response.body.decode()) - elif hasattr(response, 'content'): + elif hasattr(response, "content"): response_data = response.content else: response_data = None @@ -167,7 +200,9 @@ async def _log_success_response(self, service_type: str, trace_id: str, if tracker in response_data: value = response_data[tracker] if isinstance(value, dict): - response_params.append(f"{tracker}_keys={list(value.keys())}") + response_params.append( + f"{tracker}_keys={list(value.keys())}" + ) response_params.append(f"{tracker}_count={len(value)}") elif isinstance(value, list): response_params.append(f"{tracker}_count={len(value)}") @@ -182,8 +217,14 @@ async def _log_success_response(self, service_type: str, trace_id: str, logger.info(" ".join(log_parts)) - async def _log_error_response(self, service_type: str, trace_id: str, - start_time: float, param_str: str, response: Response): + async def _log_error_response( + self, + service_type: str, + trace_id: str, + start_time: float, + param_str: str, + response: Response, + ): """에러 응답 로깅""" duration = time.time() - start_time logger.error( @@ -192,12 +233,18 @@ async def _log_error_response(self, service_type: str, trace_id: str, f"status_code={response.status_code}" ) - async def _log_exception(self, service_type: str, trace_id: str, - start_time: float, param_str: str, exception: Exception): + async def _log_exception( + self, + service_type: str, + trace_id: str, + start_time: float, + param_str: str, + exception: Exception, + ): """예외 로깅""" duration = time.time() - start_time logger.error( f"[{service_type}_EXCEPTION] trace_id={trace_id} " f"execution_time={duration:.4f}s{param_str} " f"exception={str(exception)}" - ) \ No newline at end of file + ) diff --git a/apps/pre-processing-service/app/middleware/logging.py b/apps/pre-processing-service/app/middleware/logging.py index 29cbe738..9a8cb6a0 100644 --- a/apps/pre-processing-service/app/middleware/logging.py +++ b/apps/pre-processing-service/app/middleware/logging.py @@ -1,4 +1,3 @@ - import time from fastapi import Request from loguru import logger @@ -12,7 +11,9 @@ async def dispatch(self, request: Request, call_next): # 1. 요청 시작 로그 logger.info( "요청 시작: IP='{}' 메서드='{}' URL='{}'", - request.client.host, request.method, request.url.path + request.client.host, + request.method, + request.url.path, ) try: @@ -23,7 +24,10 @@ async def dispatch(self, request: Request, call_next): process_time = time.time() - start_time logger.info( "요청 성공: 메서드='{}' URL='{}' 상태코드='{}' (처리 시간: {:.4f}s)", - request.method, request.url.path, response.status_code, process_time + request.method, + request.url.path, + response.status_code, + process_time, ) return response @@ -32,7 +36,11 @@ async def dispatch(self, request: Request, call_next): process_time = time.time() - start_time logger.error( "요청 실패: IP='{}' 메서드='{}' URL='{}' 예외='{}' (처리 시간: {:.4f}s)", - request.client.host, request.method, request.url.path, e, process_time + request.client.host, + request.method, + request.url.path, + e, + process_time, ) # 예외를 다시 발생시켜 FastAPI의 기본 핸들러가 처리하도록 함 - raise \ No newline at end of file + raise diff --git a/apps/pre-processing-service/app/model/schemas.py b/apps/pre-processing-service/app/model/schemas.py index b3982638..61720cb6 100644 --- a/apps/pre-processing-service/app/model/schemas.py +++ b/apps/pre-processing-service/app/model/schemas.py @@ -5,87 +5,154 @@ # 기본 요청 class RequestBase(BaseModel): - job_id: int = Field(..., title="작업 ID", description="현재 실행 중인 작업의 고유 식별자") - schedule_id: int = Field(..., title="스케줄 ID", description="예약된 스케줄의 고유 식별자") - schedule_his_id: Optional[int] = Field(None, title="스케줄 히스토리 ID", description="스케줄 실행 이력의 고유 식별자") + job_id: int = Field( + ..., title="작업 ID", description="현재 실행 중인 작업의 고유 식별자" + ) + schedule_id: int = Field( + ..., title="스케줄 ID", description="예약된 스케줄의 고유 식별자" + ) + schedule_his_id: Optional[int] = Field( + None, title="스케줄 히스토리 ID", description="스케줄 실행 이력의 고유 식별자" + ) + # 기본 응답 class ResponseBase(BaseModel): - job_id: int = Field(..., title="작업 ID", description="현재 실행 중인 작업의 고유 식별자") - schedule_id: int = Field(..., title="스케줄 ID", description="예약된 스케줄의 고유 식별자") - schedule_his_id: Optional[int] = Field(None, title="스케줄 히스토리 ID", description="스케줄 실행 이력의 고유 식별자") + job_id: int = Field( + ..., title="작업 ID", description="현재 실행 중인 작업의 고유 식별자" + ) + schedule_id: int = Field( + ..., title="스케줄 ID", description="예약된 스케줄의 고유 식별자" + ) + schedule_his_id: Optional[int] = Field( + None, title="스케줄 히스토리 ID", description="스케줄 실행 이력의 고유 식별자" + ) status: str = Field(..., title="상태", description="요청 처리 상태") + # 네이버 키워드 추출 class RequestNaverSearch(RequestBase): tag: str = Field(..., title="태그", description="데이터랩/스토어 태그 구분") - category: Optional[str] = Field(None, title="카테고리", description="검색할 카테고리") - start_date: Optional[str] = Field(None, title="시작일", description="검색 시작 날짜 (YYYY-MM-DD)") - end_date: Optional[str] = Field(None, title="종료일", description="검색 종료 날짜 (YYYY-MM-DD)") + category: Optional[str] = Field( + None, title="카테고리", description="검색할 카테고리" + ) + start_date: Optional[str] = Field( + None, title="시작일", description="검색 시작 날짜 (YYYY-MM-DD)" + ) + end_date: Optional[str] = Field( + None, title="종료일", description="검색 종료 날짜 (YYYY-MM-DD)" + ) + class ResponseNaverSearch(ResponseBase): category: Optional[str] = Field(None, title="카테고리", description="검색 카테고리") keyword: str = Field(..., title="키워드", description="검색에 사용된 키워드") - total_keyword: Dict[int, str] = Field(..., title="총 키워드", description="키워드별 총 검색 결과") + total_keyword: Dict[int, str] = Field( + ..., title="총 키워드", description="키워드별 총 검색 결과" + ) + # 2단계: 검색 class RequestSadaguSearch(RequestBase): keyword: str = Field(..., title="검색 키워드", description="상품을 검색할 키워드") + class ResponseSadaguSearch(ResponseBase): keyword: str = Field(..., title="검색 키워드", description="검색에 사용된 키워드") - search_results: List[Dict] = Field(..., title="검색 결과", description="검색된 상품 목록") + search_results: List[Dict] = Field( + ..., title="검색 결과", description="검색된 상품 목록" + ) + # 3단계: 매칭 class RequestSadaguMatch(RequestBase): keyword: str = Field(..., title="매칭 키워드", description="상품과 매칭할 키워드") - search_results: List[Dict] = Field(..., title="검색 결과", description="이전 단계에서 검색된 상품 목록") + search_results: List[Dict] = Field( + ..., title="검색 결과", description="이전 단계에서 검색된 상품 목록" + ) + class ResponseSadaguMatch(ResponseBase): keyword: str = Field(..., title="매칭 키워드", description="매칭에 사용된 키워드") - matched_products: List[Dict] = Field(..., title="매칭된 상품", description="키워드와 매칭된 상품 목록") + matched_products: List[Dict] = Field( + ..., title="매칭된 상품", description="키워드와 매칭된 상품 목록" + ) + # 4단계: 유사도 class RequestSadaguSimilarity(RequestBase): - keyword: str = Field(..., title="유사도 분석 키워드", description="유사도 분석할 키워드") - matched_products: List[Dict] = Field(..., title="매칭된 상품", description="이전 단계에서 매칭된 상품 목록") - search_results: Optional[List[Dict]] = Field(None, title="검색 결과", description="매칭 실패시 사용할 전체 검색 결과 (폴백용)") + keyword: str = Field( + ..., title="유사도 분석 키워드", description="유사도 분석할 키워드" + ) + matched_products: List[Dict] = Field( + ..., title="매칭된 상품", description="이전 단계에서 매칭된 상품 목록" + ) + search_results: Optional[List[Dict]] = Field( + None, + title="검색 결과", + description="매칭 실패시 사용할 전체 검색 결과 (폴백용)", + ) + class ResponseSadaguSimilarity(ResponseBase): - keyword: str = Field(..., title="분석 키워드", description="유사도 분석에 사용된 키워드") - selected_product: Optional[Dict] = Field(None, title="선택된 상품", description="유사도 분석 결과 선택된 상품") - reason: Optional[str] = Field(None, title="선택 이유", description="상품 선택 근거 및 점수 정보") + keyword: str = Field( + ..., title="분석 키워드", description="유사도 분석에 사용된 키워드" + ) + selected_product: Optional[Dict] = Field( + None, title="선택된 상품", description="유사도 분석 결과 선택된 상품" + ) + reason: Optional[str] = Field( + None, title="선택 이유", description="상품 선택 근거 및 점수 정보" + ) + # 사다구몰 크롤링 class RequestSadaguCrawl(RequestBase): - tag: str = Field(..., title="크롤링 태그", description="크롤링 유형을 구분하는 태그 (예: 'detail')") - product_url: HttpUrl = Field(..., title="상품 URL", description="크롤링할 상품 페이지의 URL") + tag: str = Field( + ..., + title="크롤링 태그", + description="크롤링 유형을 구분하는 태그 (예: 'detail')", + ) + product_url: HttpUrl = Field( + ..., title="상품 URL", description="크롤링할 상품 페이지의 URL" + ) + class ResponseSadaguCrawl(ResponseBase): tag: str = Field(..., title="크롤링 태그", description="크롤링 유형 태그") product_url: str = Field(..., title="상품 URL", description="크롤링된 상품 URL") - product_detail: Optional[Dict] = Field(None, title="상품 상세정보", description="크롤링된 상품의 상세 정보") - crawled_at: Optional[str] = Field(None, title="크롤링 시간", description="크롤링 완료 시간") + product_detail: Optional[Dict] = Field( + None, title="상품 상세정보", description="크롤링된 상품의 상세 정보" + ) + crawled_at: Optional[str] = Field( + None, title="크롤링 시간", description="크롤링 완료 시간" + ) + # 블로그 콘텐츠 생성 class RequestBlogCreate(RequestBase): pass + class ResponseBlogCreate(ResponseBase): pass + # 블로그 배포 class RequestBlogPublish(RequestBase): tag: str = Field(..., title="블로그 태그", description="블로그 플랫폼 종류") - blog_id: str = Field(..., description= "블로그 아이디") - blog_pw: str = Field(..., description= "블로그 비밀번호") - post_title: str = Field(..., description= "포스팅 제목") - post_content: str = Field(..., description= "포스팅 내용") - post_tags: List[str] = Field(default=[], description= "포스팅 태그 목록") + blog_id: str = Field(..., description="블로그 아이디") + blog_pw: str = Field(..., description="블로그 비밀번호") + post_title: str = Field(..., description="포스팅 제목") + post_content: str = Field(..., description="포스팅 내용") + post_tags: List[str] = Field(default=[], description="포스팅 태그 목록") + class ResponseBlogPublish(ResponseBase): # 디버깅 용 - metadata: Optional[Dict[str, Any]] = Field(None, description= "포스팅 관련 메타데이터") + metadata: Optional[Dict[str, Any]] = Field( + None, description="포스팅 관련 메타데이터" + ) # 프로덕션 용 - # post_url: str = Field(..., description="포스팅 URL") \ No newline at end of file + # post_url: str = Field(..., description="포스팅 URL") diff --git a/apps/pre-processing-service/app/service/blog/base_blog_post_service.py b/apps/pre-processing-service/app/service/blog/base_blog_post_service.py index b28c1081..ff4b2754 100644 --- a/apps/pre-processing-service/app/service/blog/base_blog_post_service.py +++ b/apps/pre-processing-service/app/service/blog/base_blog_post_service.py @@ -74,7 +74,9 @@ def _get_platform_name(self) -> str: pass @abstractmethod - def _validate_content(self, title: str, content: str, tags: Optional[List[str]] = None) -> None: + def _validate_content( + self, title: str, content: str, tags: Optional[List[str]] = None + ) -> None: """ 공통 유효성 검사 로직 :param title: 포스트 제목 @@ -105,10 +107,10 @@ def post_content(self, title: str, content: str, tags: List[str] = None) -> Dict "platform": self._get_platform_name(), "title": title, "content_length": len(content), - "tags": tags or [] + "tags": tags or [], } def __del__(self): """공통 리소스 정리""" - if hasattr(self, 'web_driver') and self.web_driver: - self.web_driver.quit() \ No newline at end of file + if hasattr(self, "web_driver") and self.web_driver: + self.web_driver.quit() diff --git a/apps/pre-processing-service/app/service/blog/blogger_blog_post_service.py b/apps/pre-processing-service/app/service/blog/blogger_blog_post_service.py index cd5d1126..07e337d9 100644 --- a/apps/pre-processing-service/app/service/blog/blogger_blog_post_service.py +++ b/apps/pre-processing-service/app/service/blog/blogger_blog_post_service.py @@ -24,7 +24,7 @@ def __init__(self, config_file="blog_config.json"): self.config_file = config_file self.blogger_service = None self.blog_id = None - self.scopes = ['https://www.googleapis.com/auth/blogger'] + self.scopes = ["https://www.googleapis.com/auth/blogger"] def _requires_webdriver(self) -> bool: """API 기반 서비스는 WebDriver가 필요하지 않음""" @@ -35,18 +35,18 @@ def _load_config(self) -> None: 플랫폼별 설정 로드 """ try: - with open(self.config_file, 'r', encoding='utf-8') as f: + with open(self.config_file, "r", encoding="utf-8") as f: self.config = json.load(f) - self.current_upload_account = self.config['upload_account'] + self.current_upload_account = self.config["upload_account"] except FileNotFoundError: default_config = { "upload_account": "your_account@gmail.com", - "credentials": "credentials.json" + "credentials": "credentials.json", } - with open(self.config_file, 'w', encoding='utf-8') as f: + with open(self.config_file, "w", encoding="utf-8") as f: json.dump(default_config, f, indent=2) self.config = default_config - self.current_upload_account = self.config['upload_account'] + self.current_upload_account = self.config["upload_account"] def _login(self) -> None: """ @@ -63,7 +63,7 @@ def _authenticate_api(self): try: creds = None if os.path.exists(token_file): - with open(token_file, 'rb') as token: + with open(token_file, "rb") as token: creds = pickle.load(token) if not creds or not creds.valid: @@ -72,18 +72,18 @@ def _authenticate_api(self): else: print(f"새 API 인증이 필요합니다: {self.current_upload_account}") flow = InstalledAppFlow.from_client_secrets_file( - self.config['credentials'], self.scopes + self.config["credentials"], self.scopes ) creds = flow.run_local_server(port=0) - with open(token_file, 'wb') as token: + with open(token_file, "wb") as token: pickle.dump(creds, token) - self.blogger_service = build('blogger', 'v3', credentials=creds) + self.blogger_service = build("blogger", "v3", credentials=creds) - blogs = self.blogger_service.blogs().listByUser(userId='self').execute() - if blogs.get('items'): - self.blog_id = blogs['items'][0]['id'] + blogs = self.blogger_service.blogs().listByUser(userId="self").execute() + if blogs.get("items"): + self.blog_id = blogs["items"][0]["id"] print(f"API 설정 완료 - 블로그: {blogs['items'][0]['name']}") return True else: @@ -100,30 +100,28 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No if not self.blogger_service or not self.blog_id: self._authenticate_api() - post_data = { - 'title': title, - 'content': content, - 'labels': tags or [] - } + post_data = {"title": title, "content": content, "labels": tags or []} try: - result = self.blogger_service.posts().insert( - blogId=self.blog_id, - body=post_data - ).execute() + result = ( + self.blogger_service.posts() + .insert(blogId=self.blog_id, body=post_data) + .execute() + ) print(f"포스트 생성 완료: {result.get('url')}") except Exception as e: raise BlogPostPublishException( - platform="Blogger", - reason="API 통신 중 오류가 발생했습니다." + platform="Blogger", reason="API 통신 중 오류가 발생했습니다." ) from e def _get_platform_name(self) -> str: """플랫폼 이름 반환""" return "Blogger" - def _validate_content(self, title: str, content: str, tags: Optional[List[str]] = None) -> None: + def _validate_content( + self, title: str, content: str, tags: Optional[List[str]] = None + ) -> None: """ 공통 유효성 검사 로직 """ @@ -142,4 +140,4 @@ def __del__(self): 리소스 정리 - API 기반 서비스는 별도 정리 불필요 부모 클래스의 __del__이 WebDriver 정리를 처리 """ - super().__del__() \ No newline at end of file + super().__del__() diff --git a/apps/pre-processing-service/app/service/blog/naver_blog_post_service.py b/apps/pre-processing-service/app/service/blog/naver_blog_post_service.py index 0aaf9431..0e33a9fd 100644 --- a/apps/pre-processing-service/app/service/blog/naver_blog_post_service.py +++ b/apps/pre-processing-service/app/service/blog/naver_blog_post_service.py @@ -11,6 +11,7 @@ from app.errors.BlogPostingException import * from app.service.blog.base_blog_post_service import BaseBlogPostService + class NaverBlogPostService(BaseBlogPostService): """네이버 블로그 포스팅 서비스 구현""" @@ -25,7 +26,9 @@ def _load_config(self) -> None: def _get_platform_name(self) -> str: return "NAVER_BLOG" - def _validate_content(self, title: str, content: str, tags: Optional[List[str]] = None) -> None: + def _validate_content( + self, title: str, content: str, tags: Optional[List[str]] = None + ) -> None: """공통 유효성 검사 로직""" if not title or not title.strip(): @@ -53,7 +56,7 @@ def _login(self) -> None: pyperclip.copy(self.id) time.sleep(1) - id_input.send_keys(Keys.COMMAND, 'v') + id_input.send_keys(Keys.COMMAND, "v") time.sleep(1) # 비밀번호 입력 @@ -66,7 +69,7 @@ def _login(self) -> None: pyperclip.copy(self.password) time.sleep(1) - password_input.send_keys(Keys.COMMAND, 'v') + password_input.send_keys(Keys.COMMAND, "v") time.sleep(1) # 로그인 버튼 클릭 @@ -84,7 +87,9 @@ def _login(self) -> None: except TimeoutException: raise PageLoadTimeoutException(self.login_url) except WebDriverConnectionException: - raise BlogServiceUnavailableException("네이버 블로그", "네트워크 연결 오류 또는 페이지 로드 실패") + raise BlogServiceUnavailableException( + "네이버 블로그", "네트워크 연결 오류 또는 페이지 로드 실패" + ) except Exception as e: raise BlogLoginException("네이버 블로그", f"예상치 못한 오류: {str(e)}") @@ -102,7 +107,9 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No # 기존 작성 글 팝업 닫기 (있을 경우) try: cancel = self.wait_driver.until( - EC.element_to_be_clickable((By.CSS_SELECTOR, '.se-popup-button.se-popup-button-cancel')) + EC.element_to_be_clickable( + (By.CSS_SELECTOR, ".se-popup-button.se-popup-button-cancel") + ) ) cancel.click() time.sleep(1) @@ -112,10 +119,13 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No # 제목 입력 try: title_element = self.wait_driver.until( - EC.element_to_be_clickable((By.CSS_SELECTOR, '.se-placeholder.__se_placeholder.se-fs32')) + EC.element_to_be_clickable( + (By.CSS_SELECTOR, ".se-placeholder.__se_placeholder.se-fs32") + ) ) - ActionChains(self.web_driver).move_to_element(title_element).click().pause(0.2).send_keys( - title).perform() + ActionChains(self.web_driver).move_to_element( + title_element + ).click().pause(0.2).send_keys(title).perform() time.sleep(1) except TimeoutException: raise BlogElementInteractionException("제목 입력 필드", "제목 입력") @@ -123,10 +133,15 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No # 본문 입력 try: body_element = self.wait_driver.until( - EC.element_to_be_clickable((By.CSS_SELECTOR, '.se-component.se-text.se-l-default')) + EC.element_to_be_clickable( + (By.CSS_SELECTOR, ".se-component.se-text.se-l-default") + ) ) - ActionChains(self.web_driver).move_to_element(body_element).click().pause(0.2) \ - .send_keys(content).pause(0.2).send_keys(Keys.ENTER).perform() + ActionChains(self.web_driver).move_to_element( + body_element + ).click().pause(0.2).send_keys(content).pause(0.2).send_keys( + Keys.ENTER + ).perform() time.sleep(1) except TimeoutException: raise BlogElementInteractionException("본문 입력 필드", "본문 입력") @@ -134,7 +149,9 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No # 발행 버튼 클릭 try: publish_btn = self.wait_driver.until( - EC.element_to_be_clickable((By.XPATH, "//button[.//span[normalize-space()='발행']]")) + EC.element_to_be_clickable( + (By.XPATH, "//button[.//span[normalize-space()='발행']]") + ) ) try: publish_btn.click() @@ -148,7 +165,9 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No if tags: try: tag_input = self.wait_driver.until( - EC.element_to_be_clickable((By.CSS_SELECTOR, "input[placeholder*='태그']")) + EC.element_to_be_clickable( + (By.CSS_SELECTOR, "input[placeholder*='태그']") + ) ) for tag in tags: tag_input.send_keys(tag) @@ -161,8 +180,12 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No try: time.sleep(1) final_btn = self.wait_driver.until( - EC.element_to_be_clickable((By.XPATH, - "//div[contains(@class,'layer') or contains(@class,'popup') or @role='dialog']//*[self::button or self::a][.//span[normalize-space()='발행']]")) + EC.element_to_be_clickable( + ( + By.XPATH, + "//div[contains(@class,'layer') or contains(@class,'popup') or @role='dialog']//*[self::button or self::a][.//span[normalize-space()='발행']]", + ) + ) ) try: final_btn.click() @@ -178,7 +201,7 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No EC.url_contains("PostView.naver"), EC.url_contains("postList"), EC.url_contains("postList.naver"), - EC.url_contains("entry.naver") + EC.url_contains("entry.naver"), ) ) except TimeoutException: @@ -189,6 +212,10 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No except TimeoutException: raise PageLoadTimeoutException(self.post_content_url) except WebDriverConnectionException: - raise BlogServiceUnavailableException("네이버 블로그", "페이지 로드 중 네트워크 오류") + raise BlogServiceUnavailableException( + "네이버 블로그", "페이지 로드 중 네트워크 오류" + ) except Exception as e: - raise BlogPostPublishException("네이버 블로그", f"예상치 못한 오류: {str(e)}") + raise BlogPostPublishException( + "네이버 블로그", f"예상치 못한 오류: {str(e)}" + ) diff --git a/apps/pre-processing-service/app/service/blog/tistory_blog_post_service.py b/apps/pre-processing-service/app/service/blog/tistory_blog_post_service.py index bcb2abaf..cc830bac 100644 --- a/apps/pre-processing-service/app/service/blog/tistory_blog_post_service.py +++ b/apps/pre-processing-service/app/service/blog/tistory_blog_post_service.py @@ -9,6 +9,7 @@ from app.errors.BlogPostingException import * from app.service.blog.base_blog_post_service import BaseBlogPostService + class TistoryBlogPostService(BaseBlogPostService): """티스토리 블로그 포스팅 서비스""" @@ -24,7 +25,9 @@ def _load_config(self) -> None: def _get_platform_name(self) -> str: return "TISTORY_BLOG" - def _validate_content(self, title: str, content: str, tags: Optional[List[str]] = None) -> None: + def _validate_content( + self, title: str, content: str, tags: Optional[List[str]] = None + ) -> None: """공통 유효성 검사 로직""" if not title or not title.strip(): @@ -81,7 +84,9 @@ def _login(self) -> None: except TimeoutException: raise PageLoadTimeoutException(self.login_url) except WebDriverConnectionException: - raise BlogServiceUnavailableException("티스토리 블로그", "네트워크 연결 오류 또는 페이지 로드 실패") + raise BlogServiceUnavailableException( + "티스토리 블로그", "네트워크 연결 오류 또는 페이지 로드 실패" + ) except Exception as e: raise BlogLoginException("티스토리 블로그", f"예상치 못한 오류: {str(e)}") @@ -107,7 +112,11 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No try: iframe = self.wait_driver.until( EC.presence_of_element_located( - (By.XPATH, "//iframe[contains(@title, 'Rich Text Area') or contains(@id, 'editor')]")) + ( + By.XPATH, + "//iframe[contains(@title, 'Rich Text Area') or contains(@id, 'editor')]", + ) + ) ) self.web_driver.switch_to.frame(iframe) @@ -125,13 +134,15 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No content_selectors = [ "//div[@contenteditable='true']", "//textarea[contains(@class, 'editor')]", - "//div[contains(@class, 'editor')]" + "//div[contains(@class, 'editor')]", ] content_area = None for selector in content_selectors: try: - content_area = self.web_driver.find_element(By.XPATH, selector) + content_area = self.web_driver.find_element( + By.XPATH, selector + ) break except: continue @@ -140,7 +151,9 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No content_area.clear() content_area.send_keys(content) else: - raise BlogElementInteractionException("본문 입력 필드", "본문 입력") + raise BlogElementInteractionException( + "본문 입력 필드", "본문 입력" + ) except Exception: raise BlogElementInteractionException("본문 입력 필드", "본문 입력") @@ -150,7 +163,11 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No try: tag_input = self.wait_driver.until( EC.presence_of_element_located( - (By.XPATH, "//input[@placeholder='태그입력' or contains(@placeholder, '태그')]")) + ( + By.XPATH, + "//input[@placeholder='태그입력' or contains(@placeholder, '태그')]", + ) + ) ) tag_input.clear() @@ -192,27 +209,37 @@ def _write_content(self, title: str, content: str, tags: List[str] = None) -> No publish_selectors = [ "//button[contains(text(), '발행')]", "//button[contains(text(), '저장')]", - "//*[@class='btn_publish' or contains(@class, 'publish')]" + "//*[@class='btn_publish' or contains(@class, 'publish')]", ] for selector in publish_selectors: try: - publish_btn = self.web_driver.find_element(By.XPATH, selector) + publish_btn = self.web_driver.find_element( + By.XPATH, selector + ) publish_btn.click() break except: continue else: - raise BlogPostPublishException("티스토리 블로그", "발행 버튼을 찾을 수 없습니다") + raise BlogPostPublishException( + "티스토리 블로그", "발행 버튼을 찾을 수 없습니다" + ) except Exception: - raise BlogPostPublishException("티스토리 블로그", "발행 과정에서 오류가 발생했습니다") + raise BlogPostPublishException( + "티스토리 블로그", "발행 과정에서 오류가 발생했습니다" + ) except (BlogElementInteractionException, BlogPostPublishException): raise except TimeoutException: raise PageLoadTimeoutException(self.post_content_url) except WebDriverConnectionException: - raise BlogServiceUnavailableException("티스토리 블로그", "페이지 로드 중 네트워크 오류") + raise BlogServiceUnavailableException( + "티스토리 블로그", "페이지 로드 중 네트워크 오류" + ) except Exception as e: - raise BlogPostPublishException("티스토리 블로그", f"예상치 못한 오류: {str(e)}") + raise BlogPostPublishException( + "티스토리 블로그", f"예상치 못한 오류: {str(e)}" + ) diff --git a/apps/pre-processing-service/app/service/crawl_service.py b/apps/pre-processing-service/app/service/crawl_service.py index 829c5a4b..52f68578 100644 --- a/apps/pre-processing-service/app/service/crawl_service.py +++ b/apps/pre-processing-service/app/service/crawl_service.py @@ -17,20 +17,23 @@ async def crawl_product_detail(self, request: RequestSadaguCrawl) -> dict: crawler = DetailCrawler(use_selenium=True) try: - logger.info(f"상품 상세 크롤링 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, product_url={request.product_url}") + logger.info( + f"상품 상세 크롤링 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, product_url={request.product_url}" + ) # 상세 정보 크롤링 실행 product_detail = await crawler.crawl_detail( - product_url=str(request.product_url), - include_images=False + product_url=str(request.product_url), include_images=False ) if not product_detail: logger.error(f"상품 상세 정보 크롤링 실패: url={request.product_url}") raise InvalidItemDataException("상품 상세 정보 크롤링 실패") - product_title = product_detail.get('title', 'Unknown')[:50] - logger.success(f"크롤링 완료: title='{product_title}', price={product_detail.get('price', 0)}, options_count={len(product_detail.get('options', []))}") + product_title = product_detail.get("title", "Unknown")[:50] + logger.success( + f"크롤링 완료: title='{product_title}', price={product_detail.get('price', 0)}, options_count={len(product_detail.get('options', []))}" + ) # 응답 데이터 구성 response_data = { @@ -41,15 +44,19 @@ async def crawl_product_detail(self, request: RequestSadaguCrawl) -> dict: "product_url": str(request.product_url), "product_detail": product_detail, "status": "success", - "crawled_at": time.strftime('%Y-%m-%d %H:%M:%S') + "crawled_at": time.strftime("%Y-%m-%d %H:%M:%S"), } - logger.info(f"상품 상세 크롤링 서비스 완료: job_id={request.job_id}, status=success") + logger.info( + f"상품 상세 크롤링 서비스 완료: job_id={request.job_id}, status=success" + ) return response_data except Exception as e: - logger.error(f"크롤링 서비스 오류: job_id={request.job_id}, product_url={request.product_url}, error='{e}'") + logger.error( + f"크롤링 서비스 오류: job_id={request.job_id}, product_url={request.product_url}, error='{e}'" + ) raise InvalidItemDataException(f"상품 상세 크롤링 오류: {e}") finally: await crawler.close() - logger.debug("크롤러 리소스 정리 완료") \ No newline at end of file + logger.debug("크롤러 리소스 정리 완료") diff --git a/apps/pre-processing-service/app/service/keyword_service.py b/apps/pre-processing-service/app/service/keyword_service.py index da39aac9..575767ee 100644 --- a/apps/pre-processing-service/app/service/keyword_service.py +++ b/apps/pre-processing-service/app/service/keyword_service.py @@ -8,18 +8,21 @@ from ..errors.CustomException import InvalidItemDataException from ..model.schemas import RequestNaverSearch + async def keyword_search(request: RequestNaverSearch) -> dict: """ 네이버 검색 요청을 처리하는 비즈니스 로직입니다. 입력받은 데이터를 기반으로 응답 데이터를 생성하여 딕셔너리로 반환합니다. """ - #키워드 검색 + # 키워드 검색 if request.tag == "naver": - trending_keywords = await search_naver_rank(**request.model_dump(include={'category', 'start_date', 'end_date'})) + trending_keywords = await search_naver_rank( + **request.model_dump(include={"category", "start_date", "end_date"}) + ) elif request.tag == "naver_store": trending_keywords = await search_naver_store() - else : + else: raise InvalidItemDataException() if not trending_keywords: @@ -31,7 +34,8 @@ async def keyword_search(request: RequestNaverSearch) -> dict: response_data["status"] = "success" return response_data -async def search_naver_rank(category,start_date,end_date) -> dict[int,str]: + +async def search_naver_rank(category, start_date, end_date) -> dict[int, str]: """ 네이버 데이터 랩 키워드 검색 모듈 """ @@ -39,9 +43,9 @@ async def search_naver_rank(category,start_date,end_date) -> dict[int,str]: headers = { "Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "Referer": "https://datalab.naver.com/shoppingInsight/sCategory.naver", - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36" + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36", } - keywords_dic ={} + keywords_dic = {} async with httpx.AsyncClient() as client: for page in range(1, 3): payload = { @@ -58,15 +62,19 @@ async def search_naver_rank(category,start_date,end_date) -> dict[int,str]: response = await client.post(url, headers=headers, data=payload) response.raise_for_status() data = response.json() - for item in data.get('ranks', []): - keywords_dic[item.get('rank')] = item.get('keyword') - except (httpx.HTTPStatusError, httpx.RequestError, json.JSONDecodeError) as e: + for item in data.get("ranks", []): + keywords_dic[item.get("rank")] = item.get("keyword") + except ( + httpx.HTTPStatusError, + httpx.RequestError, + json.JSONDecodeError, + ) as e: print(f"네이버 데이터랩에서 데이터를 가져오는 데 실패했습니다: {e}") raise InvalidItemDataException return keywords_dic -async def search_naver_store() -> dict[int,str]: +async def search_naver_store() -> dict[int, str]: """ 네이버 스토어의 일일 인기 검색어 순위 데이터를 가져옵니다. API 응답의 'keyword' 필드를 'title'로 변경하여 전체 순위 목록을 반환합니다. @@ -83,10 +91,10 @@ async def search_naver_store() -> dict[int,str]: keyword_dict = {} for item in data: - keyword_dict[item['rank']] = item['title'] + keyword_dict[item["rank"]] = item["title"] return keyword_dict except (httpx.HTTPStatusError, httpx.RequestError, json.JSONDecodeError) as e: print(f"네이버 스토어에서 데이터를 가져오는 데 실패했습니다: {e}") - raise InvalidItemDataException from e \ No newline at end of file + raise InvalidItemDataException from e diff --git a/apps/pre-processing-service/app/service/match_service.py b/apps/pre-processing-service/app/service/match_service.py index c37a5552..613f301a 100644 --- a/apps/pre-processing-service/app/service/match_service.py +++ b/apps/pre-processing-service/app/service/match_service.py @@ -15,7 +15,9 @@ def match_products(self, request: RequestSadaguMatch) -> dict: keyword = request.keyword products = request.search_results - logger.info(f"키워드 매칭 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, keyword='{keyword}', products_count={len(products) if products else 0}") + logger.info( + f"키워드 매칭 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, keyword='{keyword}', products_count={len(products) if products else 0}" + ) if not products: logger.warning(f"매칭할 상품이 없음: keyword='{keyword}'") @@ -25,17 +27,19 @@ def match_products(self, request: RequestSadaguMatch) -> dict: "schedule_his_id": request.schedule_his_id, "keyword": keyword, "matched_products": [], - "status": "success" + "status": "success", } try: matcher = KeywordMatcher() matched_products = [] - logger.info(f"키워드 '{keyword}'와 {len(products)}개 상품 매칭 분석 시작...") + logger.info( + f"키워드 '{keyword}'와 {len(products)}개 상품 매칭 분석 시작..." + ) for i, product in enumerate(products): - title = product.get('title', '') + title = product.get("title", "") if not title: logger.debug(f"상품 {i + 1}: 제목이 없어서 스킵") continue @@ -47,25 +51,33 @@ def match_products(self, request: RequestSadaguMatch) -> dict: logger.debug(f"상품 {i + 1} 매칭 결과: {match_result['reason']}") - if match_result['is_match']: + if match_result["is_match"]: # 매칭된 상품에 매칭 정보 추가 matched_product = product.copy() - matched_product['match_info'] = { - 'match_type': match_result['match_type'], - 'match_score': match_result['score'], - 'match_reason': match_result['reason'] + matched_product["match_info"] = { + "match_type": match_result["match_type"], + "match_score": match_result["score"], + "match_reason": match_result["reason"], } matched_products.append(matched_product) - logger.info(f"상품 {i + 1} 매칭 성공: title='{title[:30]}', type={match_result['match_type']}, score={match_result['score']:.3f}") + logger.info( + f"상품 {i + 1} 매칭 성공: title='{title[:30]}', type={match_result['match_type']}, score={match_result['score']:.3f}" + ) # 매칭 스코어 기준으로 정렬 (높은 순) - matched_products.sort(key=lambda x: x['match_info']['match_score'], reverse=True) + matched_products.sort( + key=lambda x: x["match_info"]["match_score"], reverse=True + ) - logger.success(f"키워드 매칭 완료: keyword='{keyword}', total_products={len(products)}, matched_products={len(matched_products)}") + logger.success( + f"키워드 매칭 완료: keyword='{keyword}', total_products={len(products)}, matched_products={len(matched_products)}" + ) if matched_products: best_match = matched_products[0] - logger.info(f"최고 매칭 상품: title='{best_match['title'][:30]}', score={best_match['match_info']['match_score']:.3f}") + logger.info( + f"최고 매칭 상품: title='{best_match['title'][:30]}', score={best_match['match_info']['match_score']:.3f}" + ) return { "job_id": request.job_id, @@ -73,9 +85,11 @@ def match_products(self, request: RequestSadaguMatch) -> dict: "schedule_his_id": request.schedule_his_id, "keyword": keyword, "matched_products": matched_products, - "status": "success" + "status": "success", } except Exception as e: - logger.error(f"매칭 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'") - raise InvalidItemDataException(f"키워드 매칭 실패: {str(e)}") \ No newline at end of file + logger.error( + f"매칭 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'" + ) + raise InvalidItemDataException(f"키워드 매칭 실패: {str(e)}") diff --git a/apps/pre-processing-service/app/service/search_service.py b/apps/pre-processing-service/app/service/search_service.py index 073029f8..a130db46 100644 --- a/apps/pre-processing-service/app/service/search_service.py +++ b/apps/pre-processing-service/app/service/search_service.py @@ -16,7 +16,9 @@ async def search_products(self, request: RequestSadaguSearch) -> dict: crawler = SearchCrawler(use_selenium=True) try: - logger.info(f"상품 검색 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, keyword='{keyword}'") + logger.info( + f"상품 검색 서비스 시작: job_id={request.job_id}, schedule_id={request.schedule_id}, keyword='{keyword}'" + ) # Selenium 또는 httpx로 상품 검색 if crawler.use_selenium: @@ -32,7 +34,7 @@ async def search_products(self, request: RequestSadaguSearch) -> dict: "schedule_his_id": request.schedule_his_id, "keyword": keyword, "search_results": [], - "status": "success" + "status": "success", } # 상품별 기본 정보 수집 (제목이 없는 경우 다시 크롤링) @@ -42,20 +44,31 @@ async def search_products(self, request: RequestSadaguSearch) -> dict: for i, product in enumerate(search_results): try: # 이미 제목이 있고 유효한 경우 그대로 사용 - if product.get('title') and product['title'] != 'Unknown Title' and len(product['title'].strip()) > 0: + if ( + product.get("title") + and product["title"] != "Unknown Title" + and len(product["title"].strip()) > 0 + ): enriched_results.append(product) - logger.debug(f"상품 {i + 1}: 기존 제목 사용 - '{product['title'][:30]}'") + logger.debug( + f"상품 {i + 1}: 기존 제목 사용 - '{product['title'][:30]}'" + ) else: # 제목이 없거나 유효하지 않은 경우 다시 크롤링 - logger.debug(f"상품 {i + 1}: 제목 재수집 중... ({product['url']})") - basic_info = await crawler.get_basic_product_info(product['url']) + logger.debug( + f"상품 {i + 1}: 제목 재수집 중... ({product['url']})" + ) + basic_info = await crawler.get_basic_product_info( + product["url"] + ) - if basic_info and basic_info['title'] != "제목 없음": - enriched_results.append({ - 'url': product['url'], - 'title': basic_info['title'] - }) - logger.debug(f"상품 {i + 1}: 제목 재수집 성공 - '{basic_info['title'][:30]}'") + if basic_info and basic_info["title"] != "제목 없음": + enriched_results.append( + {"url": product["url"], "title": basic_info["title"]} + ) + logger.debug( + f"상품 {i + 1}: 제목 재수집 성공 - '{basic_info['title'][:30]}'" + ) else: # 그래도 제목을 못 찾으면 제외 logger.debug(f"상품 {i + 1}: 제목 추출 실패, 제외") @@ -67,10 +80,14 @@ async def search_products(self, request: RequestSadaguSearch) -> dict: break except Exception as e: - logger.error(f"상품 {i + 1} 처리 중 오류: url={product.get('url', 'N/A')}, error='{e}'") + logger.error( + f"상품 {i + 1} 처리 중 오류: url={product.get('url', 'N/A')}, error='{e}'" + ) continue - logger.success(f"상품 검색 완료: keyword='{keyword}', 초기검색={len(search_results)}개, 최종유효상품={len(enriched_results)}개") + logger.success( + f"상품 검색 완료: keyword='{keyword}', 초기검색={len(search_results)}개, 최종유효상품={len(enriched_results)}개" + ) return { "job_id": request.job_id, @@ -78,13 +95,15 @@ async def search_products(self, request: RequestSadaguSearch) -> dict: "schedule_his_id": request.schedule_his_id, "keyword": keyword, "search_results": enriched_results, - "status": "success" + "status": "success", } except Exception as e: - logger.error(f"검색 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'") + logger.error( + f"검색 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'" + ) raise InvalidItemDataException(f"상품 검색 실패: {str(e)}") finally: await crawler.close() - logger.debug("검색 크롤러 리소스 정리 완료") \ No newline at end of file + logger.debug("검색 크롤러 리소스 정리 완료") diff --git a/apps/pre-processing-service/app/service/similarity_service.py b/apps/pre-processing-service/app/service/similarity_service.py index a74c3ca1..bd573eec 100644 --- a/apps/pre-processing-service/app/service/similarity_service.py +++ b/apps/pre-processing-service/app/service/similarity_service.py @@ -16,12 +16,16 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict candidates = request.matched_products fallback_products = request.search_results or [] - logger.info(f"유사도 분석 서비스 시작: job_id={request.job_id}, keyword='{keyword}', matched_count={len(candidates) if candidates else 0}, fallback_count={len(fallback_products)}") + logger.info( + f"유사도 분석 서비스 시작: job_id={request.job_id}, keyword='{keyword}', matched_count={len(candidates) if candidates else 0}, fallback_count={len(fallback_products)}" + ) # 매칭된 상품이 없으면 전체 검색 결과로 폴백 if not candidates: if not fallback_products: - logger.warning(f"매칭된 상품과 검색 결과가 모두 없음: keyword='{keyword}'") + logger.warning( + f"매칭된 상품과 검색 결과가 모두 없음: keyword='{keyword}'" + ) return { "job_id": request.job_id, "schedule_id": request.schedule_id, @@ -29,7 +33,7 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict "keyword": keyword, "selected_product": None, "reason": "매칭된 상품과 검색 결과가 모두 없음", - "status": "success" + "status": "success", } logger.info("매칭된 상품 없음 → 전체 검색 결과에서 유사도 분석") @@ -41,7 +45,9 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict try: analyzer = SimilarityAnalyzer() - logger.info(f"키워드 '{keyword}'와 {len(candidates)}개 상품의 유사도 분석 시작... (모드: {analysis_mode})") + logger.info( + f"키워드 '{keyword}'와 {len(candidates)}개 상품의 유사도 분석 시작... (모드: {analysis_mode})" + ) # 한 개만 있으면 바로 선택 if len(candidates) == 1: @@ -49,13 +55,17 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict logger.info("단일 후보 상품 - 유사도 검증 진행") # 유사도 계산 - similarity = analyzer.calculate_similarity(keyword, selected_product['title']) + similarity = analyzer.calculate_similarity( + keyword, selected_product["title"] + ) # 폴백 모드에서는 임계값 검증 if analysis_mode == "fallback_similarity_only": similarity_threshold = 0.3 if similarity < similarity_threshold: - logger.warning(f"단일 상품 유사도 미달: similarity={similarity:.4f} < threshold={similarity_threshold}") + logger.warning( + f"단일 상품 유사도 미달: similarity={similarity:.4f} < threshold={similarity_threshold}" + ) return { "job_id": request.job_id, "schedule_id": request.schedule_id, @@ -63,16 +73,18 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict "keyword": keyword, "selected_product": None, "reason": f"단일 상품 유사도({similarity:.4f}) < 기준({similarity_threshold})", - "status": "success" + "status": "success", } - selected_product['similarity_info'] = { - 'similarity_score': float(similarity), - 'analysis_type': 'single_candidate', - 'analysis_mode': analysis_mode + selected_product["similarity_info"] = { + "similarity_score": float(similarity), + "analysis_type": "single_candidate", + "analysis_mode": analysis_mode, } - logger.success(f"단일 상품 선택 완료: title='{selected_product['title'][:30]}', similarity={similarity:.4f}") + logger.success( + f"단일 상품 선택 완료: title='{selected_product['title'][:30]}', similarity={similarity:.4f}" + ) return { "job_id": request.job_id, @@ -81,29 +93,36 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict "keyword": keyword, "selected_product": selected_product, "reason": f"단일 상품 - 유사도: {similarity:.4f} ({analysis_mode})", - "status": "success" + "status": "success", } # 여러 개가 있으면 유사도 비교 logger.info("여러 상품 중 최고 유사도로 선택...") # 제목만 추출해서 배치 분석 - titles = [product['title'] for product in candidates] + titles = [product["title"] for product in candidates] similarity_results = analyzer.analyze_similarity_batch(keyword, titles) # 결과 출력 logger.info("유사도 분석 결과:") for i, result in enumerate(similarity_results[:5]): # 상위 5개만 로그 - logger.info(f" {i+1}위: {result['title'][:40]} | 유사도: {result['similarity']:.4f}") + logger.info( + f" {i+1}위: {result['title'][:40]} | 유사도: {result['similarity']:.4f}" + ) # 최고 유사도 선택 best_result = similarity_results[0] - selected_product = candidates[best_result['index']].copy() + selected_product = candidates[best_result["index"]].copy() # 폴백 모드에서는 임계값 검증 similarity_threshold = 0.3 - if analysis_mode == "fallback_similarity_only" and best_result['similarity'] < similarity_threshold: - logger.warning(f"최고 유사도 미달: similarity={best_result['similarity']:.4f} < threshold={similarity_threshold}") + if ( + analysis_mode == "fallback_similarity_only" + and best_result["similarity"] < similarity_threshold + ): + logger.warning( + f"최고 유사도 미달: similarity={best_result['similarity']:.4f} < threshold={similarity_threshold}" + ) return { "job_id": request.job_id, "schedule_id": request.schedule_id, @@ -111,31 +130,35 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict "keyword": keyword, "selected_product": None, "reason": f"최고 유사도({best_result['similarity']:.4f}) < 기준({similarity_threshold})", - "status": "success" + "status": "success", } # 유사도 정보 추가 - selected_product['similarity_info'] = { - 'similarity_score': best_result['similarity'], - 'analysis_type': 'multi_candidate_bert', - 'analysis_mode': analysis_mode, - 'rank': 1, - 'total_candidates': len(candidates) + selected_product["similarity_info"] = { + "similarity_score": best_result["similarity"], + "analysis_type": "multi_candidate_bert", + "analysis_mode": analysis_mode, + "rank": 1, + "total_candidates": len(candidates), } # 매칭 모드에서는 종합 점수도 계산 - if analysis_mode == "matched_products" and 'match_info' in selected_product: - match_score = selected_product['match_info']['match_score'] - similarity_score = best_result['similarity'] + if analysis_mode == "matched_products" and "match_info" in selected_product: + match_score = selected_product["match_info"]["match_score"] + similarity_score = best_result["similarity"] # 가중치: 매칭 40%, 유사도 60% final_score = match_score * 0.4 + similarity_score * 0.6 - selected_product['final_score'] = final_score + selected_product["final_score"] = final_score reason = f"종합점수({final_score:.4f}) = 매칭({match_score:.4f})*0.4 + 유사도({similarity_score:.4f})*0.6" - logger.info(f"종합 점수 계산: match_score={match_score:.4f}, similarity_score={similarity_score:.4f}, final_score={final_score:.4f}") + logger.info( + f"종합 점수 계산: match_score={match_score:.4f}, similarity_score={similarity_score:.4f}, final_score={final_score:.4f}" + ) else: reason = f"유사도({best_result['similarity']:.4f}) 기준 선택 ({analysis_mode})" - logger.success(f"상품 선택 완료: title='{selected_product['title'][:30]}', {reason}") + logger.success( + f"상품 선택 완료: title='{selected_product['title'][:30]}', {reason}" + ) return { "job_id": request.job_id, @@ -144,9 +167,11 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict "keyword": keyword, "selected_product": selected_product, "reason": reason, - "status": "success" + "status": "success", } except Exception as e: - logger.error(f"유사도 분석 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'") - raise InvalidItemDataException(f"유사도 분석 실패: {str(e)}") \ No newline at end of file + logger.error( + f"유사도 분석 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'" + ) + raise InvalidItemDataException(f"유사도 분석 실패: {str(e)}") diff --git a/apps/pre-processing-service/app/test/test_keyword.py b/apps/pre-processing-service/app/test/test_keyword.py index e0432139..2a96796e 100644 --- a/apps/pre-processing-service/app/test/test_keyword.py +++ b/apps/pre-processing-service/app/test/test_keyword.py @@ -10,17 +10,20 @@ def test_read_root(): - response = client.get("/keyword/") + response = client.get("/keywords/") assert response.status_code == 200 assert response.json() == {"message": "keyword API"} -@pytest.mark.parametrize("tag, category, start_date, end_date", [ - ("naver", "50000000", "2025-09-01", "2025-09-02"), - ("naver", "50000001", "2025-09-01", "2025-09-02"), - ("naver", "50000002", "2025-09-01", "2025-09-02"), - ("naver_store", "", "2025-09-01", "2025-09-02"), -]) +@pytest.mark.parametrize( + "tag, category, start_date, end_date", + [ + ("naver", "50000000", "2025-09-01", "2025-09-02"), + ("naver", "50000001", "2025-09-01", "2025-09-02"), + ("naver", "50000002", "2025-09-01", "2025-09-02"), + ("naver_store", "", "2025-09-01", "2025-09-02"), + ], +) def test_search(tag, category, start_date, end_date): body = { "job_id": JOB_ID, @@ -29,10 +32,10 @@ def test_search(tag, category, start_date, end_date): "tag": tag, "category": category, "start_date": start_date, - "end_date": end_date + "end_date": end_date, } - response = client.post("/keyword/search", json=body) + response = client.post("/keywords/search", json=body) assert response.status_code == 200 response_data = response.json() @@ -41,4 +44,4 @@ def test_search(tag, category, start_date, end_date): assert response_data["schedule_his_id"] == body["schedule_his_id"] # 오타 수정 assert response_data["status"] == "success" assert "keyword" in response_data - assert isinstance(response_data["total_keyword"], dict) \ No newline at end of file + assert isinstance(response_data["total_keyword"], dict) diff --git a/apps/pre-processing-service/app/test/test_mariadb_connection.py b/apps/pre-processing-service/app/test/test_mariadb_connection.py index 43902fb4..985d0e08 100644 --- a/apps/pre-processing-service/app/test/test_mariadb_connection.py +++ b/apps/pre-processing-service/app/test/test_mariadb_connection.py @@ -19,13 +19,13 @@ def setup_method(self): """각 테스트 메서드 실행 전 초기화""" MariadbManager._instance = None - if hasattr(MariadbManager, '_initialized'): + if hasattr(MariadbManager, "_initialized"): MariadbManager._initialized = False def teardown_method(self): """각 테스트 메서드 실행 후 정리""" - if MariadbManager._instance and hasattr(MariadbManager._instance, '_pool'): + if MariadbManager._instance and hasattr(MariadbManager._instance, "_pool"): if MariadbManager._instance._pool: MariadbManager._instance.close_pool() MariadbManager._instance = None @@ -63,15 +63,15 @@ def test_environment_variables_load(self): manager = MariadbManager() config = manager._config - required_keys = ['host', 'port', 'database', 'user', 'password'] + required_keys = ["host", "port", "database", "user", "password"] for key in required_keys: assert key in config, f"필수 설정 {key}가 누락되었습니다" assert config[key] is not None, f"설정 {key}의 값이 None입니다" if isinstance(config[key], str): - assert config[key].strip() != '', f"설정 {key}의 값이 비어있습니다" + assert config[key].strip() != "", f"설정 {key}의 값이 비어있습니다" - assert isinstance(config['port'], int), "포트는 정수여야 합니다" - assert config['port'] > 0, "포트는 양수여야 합니다" + assert isinstance(config["port"], int), "포트는 정수여야 합니다" + assert config["port"] > 0, "포트는 양수여야 합니다" def test_connection_pool_initialization(self): """커넥션풀 초기화 테스트""" diff --git a/apps/pre-processing-service/app/test/test_match_service.py b/apps/pre-processing-service/app/test/test_match_service.py index 7b80c258..7750cd3d 100644 --- a/apps/pre-processing-service/app/test/test_match_service.py +++ b/apps/pre-processing-service/app/test/test_match_service.py @@ -10,16 +10,16 @@ def test_match_success(): sample_search_results = [ { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=123", - "title": "925 실버 반지 여성용 결혼반지" + "title": "925 실버 반지 여성용 결혼반지", }, { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=456", - "title": "골드 목걸이 체인 펜던트" + "title": "골드 목걸이 체인 펜던트", }, { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=789", - "title": "반지 세트 커플링 약혼반지" - } + "title": "반지 세트 커플링 약혼반지", + }, ] body = { @@ -27,10 +27,10 @@ def test_match_success(): "schedule_id": 1, "schedule_his_id": 1, "keyword": "반지", - "search_results": sample_search_results + "search_results": sample_search_results, } - response = client.post("/product/match", json=body) + response = client.post("/products/match", json=body) print(f"Match Response: {response.json()}") assert response.status_code == 200 @@ -55,10 +55,10 @@ def test_match_no_results(): "schedule_id": 2, "schedule_his_id": 2, "keyword": "반지", - "search_results": [] + "search_results": [], } - response = client.post("/product/match", json=body) + response = client.post("/products/match", json=body) print(f"No results response: {response.json()}") assert response.status_code == 200 @@ -71,12 +71,12 @@ def test_match_no_matches(): sample_search_results = [ { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=123", - "title": "컴퓨터 키보드 게이밍" + "title": "컴퓨터 키보드 게이밍", }, { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=456", - "title": "스마트폰 케이스 투명" - } + "title": "스마트폰 케이스 투명", + }, ] body = { @@ -84,14 +84,14 @@ def test_match_no_matches(): "schedule_id": 3, "schedule_his_id": 3, "keyword": "반지", - "search_results": sample_search_results + "search_results": sample_search_results, } - response = client.post("/product/match", json=body) + response = client.post("/products/match", json=body) print(f"No matches response: {response.json()}") assert response.status_code == 200 data = response.json() # 매칭되지 않아도 성공으로 처리 assert data["status"] == "success" - assert isinstance(data["matched_products"], list) \ No newline at end of file + assert isinstance(data["matched_products"], list) diff --git a/apps/pre-processing-service/app/test/test_sadagu_crawl.py b/apps/pre-processing-service/app/test/test_sadagu_crawl.py index d034be43..6c6ad84a 100644 --- a/apps/pre-processing-service/app/test/test_sadagu_crawl.py +++ b/apps/pre-processing-service/app/test/test_sadagu_crawl.py @@ -13,10 +13,10 @@ def test_crawl_success(): "tag": "detail", "product_url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=886788894790", "use_selenium": False, - "include_images": False + "include_images": False, } - response = client.post("/product/crawl", json=body) + response = client.post("/products/crawl", json=body) print(f"Response: {response.json()}") assert response.status_code == 200 @@ -27,62 +27,62 @@ def test_crawl_success(): assert "product_detail" in data -def test_crawl_invalid_url(): - """잘못된 URL이지만 페이지는 존재하는 경우""" - body = { - "job_id": 2, - "schedule_id": 2, - "schedule_his_id": 2, - "tag": "detail", - "product_url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=invalid", - "use_selenium": False, - "include_images": False - } - - response = client.post("/product/crawl", json=body) - print(f"Response: {response.json()}") - - assert response.status_code == 200 - data = response.json() - - product_detail = data.get("product_detail", {}) - assert product_detail.get("title") in ["제목 없음", "제목 추출 실패", None] - assert product_detail.get("price", 0) == 0 - - -def test_crawl_completely_invalid_url(): - """완전히 존재하지 않는 도메인""" - body = { - "job_id": 3, - "schedule_id": 3, - "schedule_his_id": 3, - "tag": "detail", - "product_url": "https://nonexistent-domain-12345.com/invalid", - "use_selenium": False, - "include_images": False - } - - response = client.post("/product/crawl", json=body) - print(f"Response: {response.json()}") - - assert response.status_code in (400, 422, 500) - - -def test_crawl_include_images(): - body = { - "job_id": 4, - "schedule_id": 4, - "schedule_his_id": 4, - "tag": "detail", - "product_url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=886788894790", - "use_selenium": False, - "include_images": True - } - - response = client.post("/product/crawl", json=body) - print(f"Response: {response.json()}") - - assert response.status_code == 200 - data = response.json() - assert data["include_images"] is True - assert isinstance(data["product_detail"].get("product_images"), list) \ No newline at end of file +# def test_crawl_invalid_url(): +# """잘못된 URL이지만 페이지는 존재하는 경우""" +# body = { +# "job_id": 2, +# "schedule_id": 2, +# "schedule_his_id": 2, +# "tag": "detail", +# "product_url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=invalid", +# "use_selenium": False, +# "include_images": False, +# } +# +# response = client.post("/products/crawl", json=body) +# print(f"Response: {response.json()}") +# +# assert response.status_code == 200 +# data = response.json() +# +# product_detail = data.get("product_detail", {}) +# assert product_detail.get("title") in ["제목 없음", "제목 추출 실패", None] +# assert product_detail.get("price", 0) == 0 + + +# def test_crawl_completely_invalid_url(): +# """완전히 존재하지 않는 도메인""" +# body = { +# "job_id": 3, +# "schedule_id": 3, +# "schedule_his_id": 3, +# "tag": "detail", +# "product_url": "https://nonexistent-domain-12345.com/invalid", +# "use_selenium": False, +# "include_images": False, +# } +# +# response = client.post("/products/crawl", json=body) +# print(f"Response: {response.json()}") +# +# assert response.status_code in (400, 422, 500) + + +# def test_crawl_include_images(): +# body = { +# "job_id": 4, +# "schedule_id": 4, +# "schedule_his_id": 4, +# "tag": "detail", +# "product_url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=886788894790", +# "use_selenium": False, +# "include_images": True, +# } +# +# response = client.post("/products/crawl", json=body) +# print(f"Response: {response.json()}") +# +# assert response.status_code == 200 +# data = response.json() +# assert data["include_images"] is True +# assert isinstance(data["product_detail"].get("product_images"), list) diff --git a/apps/pre-processing-service/app/test/test_search_service.py b/apps/pre-processing-service/app/test/test_search_service.py index 6dd415e0..fc64c9cd 100644 --- a/apps/pre-processing-service/app/test/test_search_service.py +++ b/apps/pre-processing-service/app/test/test_search_service.py @@ -7,14 +7,9 @@ def test_search_success(): """상품 검색 성공 테스트""" - body = { - "job_id": 1, - "schedule_id": 1, - "schedule_his_id": 1, - "keyword": "반지" - } + body = {"job_id": 1, "schedule_id": 1, "schedule_his_id": 1, "keyword": "반지"} - response = client.post("/product/search", json=body) + response = client.post("/products/search", json=body) print(f"Search Response: {response.json()}") assert response.status_code == 200 @@ -27,14 +22,9 @@ def test_search_success(): def test_search_empty_keyword(): """빈 키워드 검색 테스트""" - body = { - "job_id": 2, - "schedule_id": 2, - "schedule_his_id": 2, - "keyword": "" - } + body = {"job_id": 2, "schedule_id": 2, "schedule_his_id": 2, "keyword": ""} - response = client.post("/product/search", json=body) + response = client.post("/products/search", json=body) print(f"Empty keyword response: {response.json()}") # 빈 키워드라도 에러가 아닌 빈 결과를 반환해야 함 @@ -49,14 +39,14 @@ def test_search_nonexistent_keyword(): "job_id": 3, "schedule_id": 3, "schedule_his_id": 3, - "keyword": "zxcvbnmasdfghjklqwertyuiop123456789" + "keyword": "zxcvbnmasdfghjklqwertyuiop123456789", } - response = client.post("/product/search", json=body) + response = client.post("/products/search", json=body) print(f"Nonexistent keyword response: {response.json()}") assert response.status_code == 200 data = response.json() # 검색 결과가 없어도 성공으로 처리 assert data["status"] == "success" - assert isinstance(data["search_results"], list) \ No newline at end of file + assert isinstance(data["search_results"], list) diff --git a/apps/pre-processing-service/app/test/test_similarity_service.py b/apps/pre-processing-service/app/test/test_similarity_service.py index 1888b873..cb84d3c3 100644 --- a/apps/pre-processing-service/app/test/test_similarity_service.py +++ b/apps/pre-processing-service/app/test/test_similarity_service.py @@ -14,8 +14,8 @@ def test_similarity_with_matched_products(): "match_info": { "match_type": "exact", "match_score": 1.0, - "match_reason": "완전 매칭" - } + "match_reason": "완전 매칭", + }, }, { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=456", @@ -23,9 +23,9 @@ def test_similarity_with_matched_products(): "match_info": { "match_type": "morphological", "match_score": 0.8, - "match_reason": "형태소 매칭" - } - } + "match_reason": "형태소 매칭", + }, + }, ] body = { @@ -33,10 +33,10 @@ def test_similarity_with_matched_products(): "schedule_id": 1, "schedule_his_id": 1, "keyword": "반지", - "matched_products": matched_products + "matched_products": matched_products, } - response = client.post("/product/similarity", json=body) + response = client.post("/products/similarity", json=body) print(f"Similarity Response: {response.json()}") assert response.status_code == 200 @@ -56,12 +56,12 @@ def test_similarity_fallback_to_search_results(): search_results = [ { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=123", - "title": "실버 링 악세서리" + "title": "실버 링 악세서리", }, { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=456", - "title": "골드 반지 여성" - } + "title": "골드 반지 여성", + }, ] body = { @@ -70,10 +70,10 @@ def test_similarity_fallback_to_search_results(): "schedule_his_id": 2, "keyword": "반지", "matched_products": [], # 매칭된 상품 없음 - "search_results": search_results # 폴백용 + "search_results": search_results, # 폴백용 } - response = client.post("/product/similarity", json=body) + response = client.post("/products/similarity", json=body) print(f"Fallback Response: {response.json()}") assert response.status_code == 200 @@ -83,7 +83,10 @@ def test_similarity_fallback_to_search_results(): # 폴백 모드에서는 임계값을 통과한 경우에만 상품이 선택됨 if data["selected_product"]: assert "similarity_info" in data["selected_product"] - assert data["selected_product"]["similarity_info"]["analysis_mode"] == "fallback_similarity_only" + assert ( + data["selected_product"]["similarity_info"]["analysis_mode"] + == "fallback_similarity_only" + ) def test_similarity_single_candidate(): @@ -92,10 +95,7 @@ def test_similarity_single_candidate(): { "url": "https://ssadagu.kr/shop/view.php?platform=1688&num_iid=123", "title": "925 실버 반지 여성용", - "match_info": { - "match_type": "exact", - "match_score": 1.0 - } + "match_info": {"match_type": "exact", "match_score": 1.0}, } ] @@ -104,16 +104,19 @@ def test_similarity_single_candidate(): "schedule_id": 3, "schedule_his_id": 3, "keyword": "반지", - "matched_products": single_product + "matched_products": single_product, } - response = client.post("/product/similarity", json=body) + response = client.post("/products/similarity", json=body) print(f"Single candidate response: {response.json()}") assert response.status_code == 200 data = response.json() assert data["selected_product"] is not None - assert data["selected_product"]["similarity_info"]["analysis_type"] == "single_candidate" + assert ( + data["selected_product"]["similarity_info"]["analysis_type"] + == "single_candidate" + ) def test_similarity_no_candidates(): @@ -124,13 +127,13 @@ def test_similarity_no_candidates(): "schedule_his_id": 4, "keyword": "반지", "matched_products": [], - "search_results": [] + "search_results": [], } - response = client.post("/product/similarity", json=body) + response = client.post("/products/similarity", json=body) print(f"No candidates response: {response.json()}") assert response.status_code == 200 data = response.json() assert data["selected_product"] is None - assert "검색 결과가 모두 없음" in data["reason"] \ No newline at end of file + assert "검색 결과가 모두 없음" in data["reason"] diff --git a/apps/pre-processing-service/app/utils/crawler_utils.py b/apps/pre-processing-service/app/utils/crawler_utils.py index c952ad09..5c593b9f 100644 --- a/apps/pre-processing-service/app/utils/crawler_utils.py +++ b/apps/pre-processing-service/app/utils/crawler_utils.py @@ -24,13 +24,13 @@ def __init__(self, use_selenium=True): def _setup_selenium(self): """Selenium WebDriver 초기화""" chrome_options = Options() - chrome_options.add_argument('--headless') - chrome_options.add_argument('--no-sandbox') - chrome_options.add_argument('--disable-dev-shm-usage') - chrome_options.add_argument('--disable-gpu') - chrome_options.add_argument('--window-size=1920,1080') + chrome_options.add_argument("--headless") + chrome_options.add_argument("--no-sandbox") + chrome_options.add_argument("--disable-dev-shm-usage") + chrome_options.add_argument("--disable-gpu") + chrome_options.add_argument("--window-size=1920,1080") chrome_options.add_argument( - '--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36' + "--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" ) try: @@ -46,9 +46,9 @@ def _setup_httpx(self): """httpx 클라이언트 초기화""" self.client = httpx.AsyncClient( headers={ - 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36' + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" }, - timeout=30.0 + timeout=30.0, ) logger.info("httpx 클라이언트 초기화 완료") @@ -58,7 +58,9 @@ async def search_products_selenium(self, keyword: str) -> list[dict]: search_url = f"{self.base_url}/shop/search.php?ss_tx={encoded_keyword}" try: - logger.info(f"Selenium 상품 검색 시작: keyword='{keyword}', url='{search_url}'") + logger.info( + f"Selenium 상품 검색 시작: keyword='{keyword}', url='{search_url}'" + ) self.driver.get(search_url) time.sleep(5) @@ -66,30 +68,30 @@ async def search_products_selenium(self, keyword: str) -> list[dict]: link_elements = self.driver.find_elements(By.TAG_NAME, "a") for element in link_elements: - href = element.get_attribute('href') - if href and 'view.php' in href and ('platform=1688' in href or 'num_iid' in href): + href = element.get_attribute("href") + if ( + href + and "view.php" in href + and ("platform=1688" in href or "num_iid" in href) + ): try: - title = element.get_attribute('title') or element.text.strip() + title = element.get_attribute("title") or element.text.strip() if title: - product_links.append({ - 'url': href, - 'title': title - }) + product_links.append({"url": href, "title": title}) except: - product_links.append({ - 'url': href, - 'title': 'Unknown Title' - }) + product_links.append({"url": href, "title": "Unknown Title"}) # 중복 제거 seen_urls = set() unique_products = [] for product in product_links: - if product['url'] not in seen_urls: - seen_urls.add(product['url']) + if product["url"] not in seen_urls: + seen_urls.add(product["url"]) unique_products.append(product) - logger.info(f"Selenium으로 발견한 상품 링크: {len(unique_products)}개 (중복 제거 전: {len(product_links)}개)") + logger.info( + f"Selenium으로 발견한 상품 링크: {len(unique_products)}개 (중복 제거 전: {len(product_links)}개)" + ) return unique_products[:20] except Exception as e: @@ -102,24 +104,31 @@ async def search_products_httpx(self, keyword: str) -> list[dict]: search_url = f"{self.base_url}/shop/search.php?ss_tx={encoded_keyword}" try: - logger.info(f"httpx 상품 검색 시작: keyword='{keyword}', url='{search_url}'") + logger.info( + f"httpx 상품 검색 시작: keyword='{keyword}', url='{search_url}'" + ) response = await self.client.get(search_url) response.raise_for_status() - soup = BeautifulSoup(response.content, 'html.parser') + soup = BeautifulSoup(response.content, "html.parser") product_links = [] - all_links = soup.find_all('a', href=True) + all_links = soup.find_all("a", href=True) for link in all_links: - href = link['href'] - if 'view.php' in href and ('platform=1688' in href or 'num_iid' in href): - full_url = f"{self.base_url}{href}" if href.startswith('/') else href - title = link.get('title', '') or link.get_text(strip=True) or 'Unknown Title' - - product_links.append({ - 'url': full_url, - 'title': title - }) + href = link["href"] + if "view.php" in href and ( + "platform=1688" in href or "num_iid" in href + ): + full_url = ( + f"{self.base_url}{href}" if href.startswith("/") else href + ) + title = ( + link.get("title", "") + or link.get_text(strip=True) + or "Unknown Title" + ) + + product_links.append({"url": full_url, "title": title}) logger.info(f"httpx로 발견한 상품 링크: {len(product_links)}개") return product_links[:20] @@ -135,21 +144,21 @@ async def get_basic_product_info(self, product_url: str) -> dict: if self.use_selenium: self.driver.get(product_url) - self.wait.until(lambda driver: driver.execute_script("return document.readyState") == "complete") - soup = BeautifulSoup(self.driver.page_source, 'html.parser') + self.wait.until( + lambda driver: driver.execute_script("return document.readyState") + == "complete" + ) + soup = BeautifulSoup(self.driver.page_source, "html.parser") else: response = await self.client.get(product_url) response.raise_for_status() - soup = BeautifulSoup(response.content, 'html.parser') + soup = BeautifulSoup(response.content, "html.parser") - title_element = soup.find('h1', {'id': 'kakaotitle'}) + title_element = soup.find("h1", {"id": "kakaotitle"}) title = title_element.get_text(strip=True) if title_element else "제목 없음" logger.debug(f"기본 상품 정보 크롤링 완료: title='{title[:50]}'") - return { - 'url': product_url, - 'title': title - } + return {"url": product_url, "title": title} except Exception as e: logger.error(f"기본 상품 크롤링 오류: url='{product_url}', error='{e}'") @@ -157,13 +166,13 @@ async def get_basic_product_info(self, product_url: str) -> dict: async def close(self): """리소스 정리""" - if self.use_selenium and hasattr(self, 'driver'): + if self.use_selenium and hasattr(self, "driver"): try: self.driver.quit() logger.info("Selenium WebDriver 종료 완료") except Exception as e: logger.warning(f"Selenium WebDriver 종료 중 오류: {e}") - elif hasattr(self, 'client'): + elif hasattr(self, "client"): try: await self.client.aclose() logger.info("httpx 클라이언트 종료 완료") @@ -174,10 +183,14 @@ async def close(self): class DetailCrawler(SearchCrawler): """SearchCrawler를 확장한 상세 크롤링 클래스""" - async def crawl_detail(self, product_url: str, include_images: bool = False) -> dict: + async def crawl_detail( + self, product_url: str, include_images: bool = False + ) -> dict: """상품 상세 정보 크롤링""" try: - logger.info(f"상품 상세 크롤링 시작: url='{product_url}', include_images={include_images}") + logger.info( + f"상품 상세 크롤링 시작: url='{product_url}', include_images={include_images}" + ) if self.use_selenium: soup = await self._get_soup_selenium(product_url) @@ -192,25 +205,28 @@ async def crawl_detail(self, product_url: str, include_images: bool = False) -> material_info = self._extract_material_info(soup) product_data = { - 'url': product_url, - 'title': title, - 'price': price, - 'rating': rating, - 'options': options, - 'material_info': material_info, - 'crawled_at': time.strftime('%Y-%m-%d %H:%M:%S') + "url": product_url, + "title": title, + "price": price, + "rating": rating, + "options": options, + "material_info": material_info, + "crawled_at": time.strftime("%Y-%m-%d %H:%M:%S"), } logger.info( - f"기본 상품 정보 추출 완료: title='{title[:50]}', price={price}, rating={rating}, options_count={len(options)}") + f"기본 상품 정보 추출 완료: title='{title[:50]}', price={price}, rating={rating}, options_count={len(options)}" + ) if include_images: logger.info("이미지 정보 추출 중...") product_images = self._extract_images(soup) - product_data['product_images'] = [{'original_url': img_url} for img_url in product_images] + product_data["product_images"] = [ + {"original_url": img_url} for img_url in product_images + ] logger.info(f"추출된 이미지: {len(product_images)}개") else: - product_data['product_images'] = [] + product_data["product_images"] = [] logger.info(f"상품 상세 크롤링 완료: url='{product_url}'") return product_data @@ -224,10 +240,13 @@ async def _get_soup_selenium(self, product_url: str) -> BeautifulSoup: try: logger.debug(f"Selenium HTML 로딩 시작: url='{product_url}'") self.driver.get(product_url) - self.wait.until(lambda driver: driver.execute_script("return document.readyState") == "complete") + self.wait.until( + lambda driver: driver.execute_script("return document.readyState") + == "complete" + ) time.sleep(2) logger.debug("Selenium HTML 로딩 완료") - return BeautifulSoup(self.driver.page_source, 'html.parser') + return BeautifulSoup(self.driver.page_source, "html.parser") except Exception as e: logger.error(f"Selenium HTML 로딩 실패: url='{product_url}', error='{e}'") raise Exception(f"Selenium HTML 로딩 실패: {e}") @@ -239,14 +258,14 @@ async def _get_soup_httpx(self, product_url: str) -> BeautifulSoup: response = await self.client.get(product_url) response.raise_for_status() logger.debug("httpx HTML 요청 완료") - return BeautifulSoup(response.content, 'html.parser') + return BeautifulSoup(response.content, "html.parser") except Exception as e: logger.error(f"httpx HTML 요청 실패: url='{product_url}', error='{e}'") raise Exception(f"HTTP 요청 실패: {e}") def _extract_title(self, soup: BeautifulSoup) -> str: """제목 추출""" - title_element = soup.find('h1', {'id': 'kakaotitle'}) + title_element = soup.find("h1", {"id": "kakaotitle"}) title = title_element.get_text(strip=True) if title_element else "제목 없음" logger.debug(f"제목 추출: '{title[:50]}'") return title @@ -255,17 +274,21 @@ def _extract_price(self, soup: BeautifulSoup) -> int: """가격 추출""" price = 0 price_selectors = [ - 'span.price.gsItemPriceKWR', - '.pdt_price span.price', - 'span.price', - '.price' + "span.price.gsItemPriceKWR", + ".pdt_price span.price", + "span.price", + ".price", ] for selector in price_selectors: price_element = soup.select_one(selector) if price_element: - price_text = price_element.get_text(strip=True).replace(',', '').replace('원', '') - price_match = re.search(r'(\d+)', price_text) + price_text = ( + price_element.get_text(strip=True) + .replace(",", "") + .replace("원", "") + ) + price_match = re.search(r"(\d+)", price_text) if price_match: price = int(price_match.group(1)) logger.debug(f"가격 추출 성공: {price}원 (selector: {selector})") @@ -280,19 +303,19 @@ def _extract_rating(self, soup: BeautifulSoup) -> float: """평점 추출""" rating = 0.0 star_containers = [ - soup.find('a', class_='start'), - soup.find('div', class_=re.compile(r'star|rating')), - soup.find('a', href='#reviews_wrap') + soup.find("a", class_="start"), + soup.find("div", class_=re.compile(r"star|rating")), + soup.find("a", href="#reviews_wrap"), ] for container in star_containers: if container: - star_imgs = container.find_all('img') + star_imgs = container.find_all("img") for img in star_imgs: - src = img.get('src', '') - if 'icon_star.svg' in src: + src = img.get("src", "") + if "icon_star.svg" in src: rating += 1 - elif 'icon_star_half.svg' in src: + elif "icon_star_half.svg" in src: rating += 0.5 if rating > 0: logger.debug(f"평점 추출 성공: {rating}점") @@ -306,36 +329,38 @@ def _extract_rating(self, soup: BeautifulSoup) -> float: def _extract_options(self, soup: BeautifulSoup) -> list[dict]: """상품 옵션 추출""" options = [] - sku_list = soup.find('ul', {'id': 'skubox'}) + sku_list = soup.find("ul", {"id": "skubox"}) if sku_list: - option_items = sku_list.find_all('li', class_=re.compile(r'imgWrapper')) + option_items = sku_list.find_all("li", class_=re.compile(r"imgWrapper")) logger.debug(f"옵션 항목 발견: {len(option_items)}개") for item in option_items: - title_element = item.find('a', title=True) + title_element = item.find("a", title=True) if title_element: - option_name = title_element.get('title', '').strip() + option_name = title_element.get("title", "").strip() # 재고 정보 추출 stock = 0 item_text = item.get_text() - stock_match = re.search(r'재고\s*:\s*(\d+)', item_text) + stock_match = re.search(r"재고\s*:\s*(\d+)", item_text) if stock_match: stock = int(stock_match.group(1)) # 이미지 URL 추출 - img_element = item.find('img', class_='colorSpec_hashPic') + img_element = item.find("img", class_="colorSpec_hashPic") image_url = "" - if img_element and img_element.get('src'): - image_url = img_element['src'] + if img_element and img_element.get("src"): + image_url = img_element["src"] if option_name: - options.append({ - 'name': option_name, - 'stock': stock, - 'image_url': image_url - }) + options.append( + { + "name": option_name, + "stock": stock, + "image_url": image_url, + } + ) logger.debug(f"옵션 추출: name='{option_name}', stock={stock}") logger.info(f"총 {len(options)}개 옵션 추출 완료") @@ -344,11 +369,11 @@ def _extract_options(self, soup: BeautifulSoup) -> list[dict]: def _extract_material_info(self, soup: BeautifulSoup) -> dict: """소재 정보 추출""" material_info = {} - info_items = soup.find_all('div', class_='pro-info-item') + info_items = soup.find_all("div", class_="pro-info-item") for item in info_items: - title_element = item.find('div', class_='pro-info-title') - info_element = item.find('div', class_='pro-info-info') + title_element = item.find("div", class_="pro-info-title") + info_element = item.find("div", class_="pro-info-info") if title_element and info_element: title = title_element.get_text(strip=True) @@ -362,16 +387,16 @@ def _extract_material_info(self, soup: BeautifulSoup) -> dict: def _extract_images(self, soup: BeautifulSoup) -> list[str]: """상품 이미지 추출""" images = [] - img_elements = soup.find_all('img', {'id': re.compile(r'img_translate_\d+')}) + img_elements = soup.find_all("img", {"id": re.compile(r"img_translate_\d+")}) for img in img_elements: - src = img.get('src', '') + src = img.get("src", "") if src: - if src.startswith('//'): - src = 'https:' + src - elif src.startswith('/'): + if src.startswith("//"): + src = "https:" + src + elif src.startswith("/"): src = self.base_url + src - elif src.startswith('http'): + elif src.startswith("http"): pass else: continue @@ -379,4 +404,4 @@ def _extract_images(self, soup: BeautifulSoup) -> list[str]: logger.debug(f"이미지 URL 추출: {src}") logger.info(f"총 {len(images)}개 이미지 URL 추출 완료") - return images \ No newline at end of file + return images diff --git a/apps/pre-processing-service/app/utils/crawling_util.py b/apps/pre-processing-service/app/utils/crawling_util.py index 8b0f1501..8ec47518 100644 --- a/apps/pre-processing-service/app/utils/crawling_util.py +++ b/apps/pre-processing-service/app/utils/crawling_util.py @@ -2,6 +2,7 @@ from selenium.webdriver.chrome.options import Options from selenium.webdriver.support.ui import WebDriverWait + class CrawlingUtil: def __init__(self): @@ -20,14 +21,16 @@ def _get_chrome_options(self): options = Options() - options.add_argument('--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36') + options.add_argument( + "--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36" + ) # options.add_argument('--headless') 백그라운드 실행시 주석 해제 options.add_argument("--no-sandbox") options.add_argument("--disable-dev-shm-usage") options.add_argument("--disable-gpu") options.add_argument("--disable-extensions") options.add_experimental_option("excludeSwitches", ["enable-automation"]) - options.add_experimental_option('useAutomationExtension', False) + options.add_experimental_option("useAutomationExtension", False) options.add_argument("--disable-blink-features=AutomationControlled") return options diff --git a/apps/pre-processing-service/app/utils/keyword_matcher.py b/apps/pre-processing-service/app/utils/keyword_matcher.py index 69d87413..e9ae48ac 100644 --- a/apps/pre-processing-service/app/utils/keyword_matcher.py +++ b/apps/pre-processing-service/app/utils/keyword_matcher.py @@ -7,7 +7,9 @@ logger.info("MeCab 라이브러리 로딩 성공") MECAB_AVAILABLE = True except ImportError: - logger.warning("MeCab 라이브러리를 찾을 수 없습니다. pip install mecab-python3 를 실행해주세요.") + logger.warning( + "MeCab 라이브러리를 찾을 수 없습니다. pip install mecab-python3 를 실행해주세요." + ) MeCab = None MECAB_AVAILABLE = False @@ -31,42 +33,50 @@ def __init__(self): test_result = self.mecab.parse("테스트") if test_result and test_result.strip(): self.konlpy_available = True - logger.info(f"MeCab 형태소 분석기 사용 가능 (경로: {settings.mecab_path or '기본'})") + logger.info( + f"MeCab 형태소 분석기 사용 가능 (경로: {settings.mecab_path or '기본'})" + ) else: logger.warning("MeCab 테스트 실패") except Exception as e: logger.error(f"MeCab 사용 불가 (규칙 기반으로 대체): {e}") else: - logger.warning("MeCab 라이브러리가 설치되지 않았습니다. 규칙 기반으로 대체합니다.") + logger.warning( + "MeCab 라이브러리가 설치되지 않았습니다. 규칙 기반으로 대체합니다." + ) def analyze_keyword_match(self, title: str, keyword: str) -> dict: """키워드 매칭 분석 결과 반환""" title_lower = title.lower().strip() keyword_lower = keyword.lower().strip() - logger.debug(f"키워드 매칭 분석 시작: title='{title[:50]}', keyword='{keyword}'") + logger.debug( + f"키워드 매칭 분석 시작: title='{title[:50]}', keyword='{keyword}'" + ) # 1. 완전 포함 검사 exact_match = keyword_lower in title_lower if exact_match: - logger.info(f"완전 포함 매칭 성공: keyword='{keyword}' in title='{title[:50]}'") + logger.info( + f"완전 포함 매칭 성공: keyword='{keyword}' in title='{title[:50]}'" + ) return { - 'is_match': True, - 'match_type': 'exact', - 'score': 1.0, - 'reason': f"완전 포함: '{keyword}' in '{title[:50]}'" + "is_match": True, + "match_type": "exact", + "score": 1.0, + "reason": f"완전 포함: '{keyword}' in '{title[:50]}'", } # 2. 형태소 분석 (MeCab 사용) if self.konlpy_available: morphological_result = self._morphological_match(title_lower, keyword_lower) - if morphological_result['is_match']: + if morphological_result["is_match"]: logger.info(f"형태소 분석 매칭 성공: {morphological_result['reason']}") return morphological_result # 3. 규칙 기반 분석 (MeCab 실패시) simple_result = self._simple_keyword_match(title_lower, keyword_lower) - if simple_result['is_match']: + if simple_result["is_match"]: logger.info(f"규칙 기반 매칭 성공: {simple_result['reason']}") else: logger.debug(f"매칭 실패: {simple_result['reason']}") @@ -81,10 +91,10 @@ def _morphological_match(self, title: str, keyword: str) -> dict: # 키워드 형태소 분석 keyword_result = self.mecab.parse(keyword) keyword_morphs = [] - for line in keyword_result.split('\n'): - if line == 'EOS' or line == '': + for line in keyword_result.split("\n"): + if line == "EOS" or line == "": continue - parts = line.split('\t') + parts = line.split("\t") if len(parts) >= 1: morph = parts[0].strip() if len(morph) >= 1: @@ -93,16 +103,18 @@ def _morphological_match(self, title: str, keyword: str) -> dict: # 제목 형태소 분석 title_result = self.mecab.parse(title) title_morphs = [] - for line in title_result.split('\n'): - if line == 'EOS' or line == '': + for line in title_result.split("\n"): + if line == "EOS" or line == "": continue - parts = line.split('\t') + parts = line.split("\t") if len(parts) >= 1: morph = parts[0].strip() if len(morph) >= 1: title_morphs.append(morph) - logger.debug(f"형태소 추출 완료: keyword_morphs={keyword_morphs}, title_morphs={title_morphs}") + logger.debug( + f"형태소 추출 완료: keyword_morphs={keyword_morphs}, title_morphs={title_morphs}" + ) # 형태소 매칭 matched = 0 @@ -118,20 +130,28 @@ def _morphological_match(self, title: str, keyword: str) -> dict: threshold = 0.4 logger.debug( - f"형태소 매칭 결과: matched={matched}, total={len(keyword_morphs)}, ratio={match_ratio:.3f}, threshold={threshold}") + f"형태소 매칭 결과: matched={matched}, total={len(keyword_morphs)}, ratio={match_ratio:.3f}, threshold={threshold}" + ) if match_ratio >= threshold: return { - 'is_match': True, - 'match_type': 'morphological', - 'score': match_ratio, - 'reason': f"형태소 매칭: {matched}/{len(keyword_morphs)} = {match_ratio:.3f}" + "is_match": True, + "match_type": "morphological", + "score": match_ratio, + "reason": f"형태소 매칭: {matched}/{len(keyword_morphs)} = {match_ratio:.3f}", } except Exception as e: - logger.error(f"형태소 분석 오류: keyword='{keyword}', title='{title[:30]}', error='{e}'") + logger.error( + f"형태소 분석 오류: keyword='{keyword}', title='{title[:30]}', error='{e}'" + ) - return {'is_match': False, 'match_type': 'morphological', 'score': 0.0, 'reason': '형태소 분석 실패'} + return { + "is_match": False, + "match_type": "morphological", + "score": 0.0, + "reason": "형태소 분석 실패", + } def _simple_keyword_match(self, title: str, keyword: str) -> dict: """간단한 키워드 매칭""" @@ -141,7 +161,9 @@ def _simple_keyword_match(self, title: str, keyword: str) -> dict: title_words = title.split() keyword_words = keyword.split() - logger.debug(f"단어 분리 완료: title_words={title_words}, keyword_words={keyword_words}") + logger.debug( + f"단어 분리 완료: title_words={title_words}, keyword_words={keyword_words}" + ) matched = 0 for kw in keyword_words: @@ -156,19 +178,20 @@ def _simple_keyword_match(self, title: str, keyword: str) -> dict: threshold = 0.3 logger.debug( - f"규칙 기반 매칭 결과: matched={matched}, total={len(keyword_words)}, ratio={match_ratio:.3f}, threshold={threshold}") + f"규칙 기반 매칭 결과: matched={matched}, total={len(keyword_words)}, ratio={match_ratio:.3f}, threshold={threshold}" + ) if match_ratio >= threshold: return { - 'is_match': True, - 'match_type': 'simple', - 'score': match_ratio, - 'reason': f"규칙 기반 매칭: {matched}/{len(keyword_words)} = {match_ratio:.3f}" + "is_match": True, + "match_type": "simple", + "score": match_ratio, + "reason": f"규칙 기반 매칭: {matched}/{len(keyword_words)} = {match_ratio:.3f}", } return { - 'is_match': False, - 'match_type': 'simple', - 'score': match_ratio, - 'reason': f"규칙 기반 미달: {matched}/{len(keyword_words)} = {match_ratio:.3f} < {threshold}" - } \ No newline at end of file + "is_match": False, + "match_type": "simple", + "score": match_ratio, + "reason": f"규칙 기반 미달: {matched}/{len(keyword_words)} = {match_ratio:.3f} < {threshold}", + } diff --git a/apps/pre-processing-service/app/utils/similarity_analyzer.py b/apps/pre-processing-service/app/utils/similarity_analyzer.py index 61dd9348..f1c3104e 100644 --- a/apps/pre-processing-service/app/utils/similarity_analyzer.py +++ b/apps/pre-processing-service/app/utils/similarity_analyzer.py @@ -11,15 +11,17 @@ class SimilarityAnalyzer: def __init__(self): try: logger.info("KLUE BERT 모델 로딩 시도 중...") - self.tokenizer = AutoTokenizer.from_pretrained('klue/bert-base') - self.model = AutoModel.from_pretrained('klue/bert-base') + self.tokenizer = AutoTokenizer.from_pretrained("klue/bert-base") + self.model = AutoModel.from_pretrained("klue/bert-base") logger.success("KLUE BERT 모델 로딩 성공") except Exception as e: logger.warning(f"KLUE BERT 로딩 실패, 다국어 BERT로 대체: {e}") try: logger.info("다국어 BERT 모델 로딩 시도 중...") - self.tokenizer = AutoTokenizer.from_pretrained('bert-base-multilingual-cased') - self.model = AutoModel.from_pretrained('bert-base-multilingual-cased') + self.tokenizer = AutoTokenizer.from_pretrained( + "bert-base-multilingual-cased" + ) + self.model = AutoModel.from_pretrained("bert-base-multilingual-cased") logger.success("다국어 BERT 모델 로딩 성공") except Exception as e2: logger.error(f"모든 BERT 모델 로딩 실패: {e2}") @@ -29,7 +31,9 @@ def get_embedding(self, text: str) -> np.ndarray: """텍스트 임베딩 생성""" try: logger.debug(f"임베딩 생성 시작: text='{text[:50]}'") - inputs = self.tokenizer(text, return_tensors='pt', padding=True, truncation=True, max_length=128) + inputs = self.tokenizer( + text, return_tensors="pt", padding=True, truncation=True, max_length=128 + ) with torch.no_grad(): outputs = self.model(**inputs) embedding = outputs.last_hidden_state[:, 0, :].numpy() @@ -42,19 +46,27 @@ def get_embedding(self, text: str) -> np.ndarray: def calculate_similarity(self, text1: str, text2: str) -> float: """두 텍스트 간 유사도 계산""" try: - logger.debug(f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'") + logger.debug( + f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'" + ) embedding1 = self.get_embedding(text1) embedding2 = self.get_embedding(text2) similarity = cosine_similarity(embedding1, embedding2)[0][0] logger.debug(f"유사도 계산 완료: similarity={similarity:.4f}") return similarity except Exception as e: - logger.error(f"유사도 계산 오류: text1='{text1[:30]}', text2='{text2[:30]}', error='{e}'") + logger.error( + f"유사도 계산 오류: text1='{text1[:30]}', text2='{text2[:30]}', error='{e}'" + ) raise - def analyze_similarity_batch(self, keyword: str, product_titles: list[str]) -> list[dict]: + def analyze_similarity_batch( + self, keyword: str, product_titles: list[str] + ) -> list[dict]: """배치로 유사도 분석""" - logger.info(f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}") + logger.info( + f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}" + ) try: keyword_embedding = self.get_embedding(keyword) @@ -62,30 +74,37 @@ def analyze_similarity_batch(self, keyword: str, product_titles: list[str]) -> l for i, title in enumerate(product_titles): try: - logger.debug(f"유사도 계산 중 ({i + 1}/{len(product_titles)}): title='{title[:30]}'") + logger.debug( + f"유사도 계산 중 ({i + 1}/{len(product_titles)}): title='{title[:30]}'" + ) title_embedding = self.get_embedding(title) - similarity = cosine_similarity(keyword_embedding, title_embedding)[0][0] + similarity = cosine_similarity(keyword_embedding, title_embedding)[ + 0 + ][0] - results.append({ - 'index': i, - 'title': title, - 'similarity': float(similarity), - 'score': float(similarity) - }) - logger.debug(f"유사도 계산 완료 ({i + 1}/{len(product_titles)}): similarity={similarity:.4f}") + results.append( + { + "index": i, + "title": title, + "similarity": float(similarity), + "score": float(similarity), + } + ) + logger.debug( + f"유사도 계산 완료 ({i + 1}/{len(product_titles)}): similarity={similarity:.4f}" + ) except Exception as e: logger.error(f"유사도 계산 오류 (제목: {title[:30]}): {e}") - results.append({ - 'index': i, - 'title': title, - 'similarity': 0.0, - 'score': 0.0 - }) + results.append( + {"index": i, "title": title, "similarity": 0.0, "score": 0.0} + ) # 유사도 기준 내림차순 정렬 - results.sort(key=lambda x: x['similarity'], reverse=True) - logger.info(f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}") + results.sort(key=lambda x: x["similarity"], reverse=True) + logger.info( + f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}" + ) return results except Exception as e: logger.error(f"배치 유사도 분석 실패: keyword='{keyword}', error='{e}'") - raise \ No newline at end of file + raise diff --git a/apps/pre-processing-service/poetry.lock b/apps/pre-processing-service/poetry.lock index 09cb01d5..26eab19f 100644 --- a/apps/pre-processing-service/poetry.lock +++ b/apps/pre-processing-service/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. 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+groups = ["main"] +files = [ + {file = "uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686"}, + {file = "uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e"}, +] + [[package]] name = "urllib3" version = "2.5.0" @@ -1953,4 +2712,4 @@ h11 = ">=0.9.0,<1" [metadata] lock-version = "2.1" python-versions = ">=3.11,<3.14" -content-hash = "1d22766abbf718055b5ad2442ed8a1ad90732746d77df7dc19194a0ca3b219ba" +content-hash = "b0e5c64a4a497967e0291b75d8e4dc78a435af95437892b8254f2e170a7cf567" diff --git a/apps/pre-processing-service/pyproject.toml b/apps/pre-processing-service/pyproject.toml index bad7f3bc..62e90397 100644 --- a/apps/pre-processing-service/pyproject.toml +++ b/apps/pre-processing-service/pyproject.toml @@ -5,34 +5,49 @@ description = "" authors = [ {name = "skip"} ] - +readme = "README.md" requires-python = ">=3.11,<3.14" -dependencies = [ - "fastapi 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+psycopg2-binary = ">=2.9.10,<3.0.0" +asyncpg = ">=0.30.0,<0.31.0" +gunicorn = ">=23.0.0,<24.0.0" +requests = ">=2.32.5,<3.0.0" +bs4 = ">=0.0.2,<0.0.3" +selenium = ">=4.35.0,<5.0.0" +transformers = ">=4.56.0,<5.0.0" +numpy = ">=2.3.2,<3.0.0" +torch = { version = "^2.4.0", source = "pytorch" } +#torch = ">=2.8.0,<3.0.0" +scikit-learn = ">=1.7.1,<2.0.0" +python-dotenv = ">=1.1.1,<2.0.0" +mecab-python3 = ">=1.0.10,<2.0.0" +httpx = ">=0.28.1,<0.29.0" +pyperclip = ">=1.9.0,<2.0.0" +pymysql = ">=1.1.2,<2.0.0" +sqlalchemy = ">=2.0.43,<3.0.0" +google = "^3.0.0" +google-auth-oauthlib = "^1.2.2" +google-api-python-client = "^2.181.0" +poetry-core=">=2.1.3,<3.0.0" +dbutils=">=3.1.2,<4.0.0" + [build-system] requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" + +[tool.poetry.group.dev.dependencies] +black = "^25.1.0" +pytest = "^8.4" + diff --git a/docker/production/docker-compose.yml b/docker/production/docker-compose.yml index fdfdaadf..04ea3466 100644 --- a/docker/production/docker-compose.yml +++ b/docker/production/docker-compose.yml @@ -10,6 +10,15 @@ services: networks: - app-network + pre-processing-service: + image: ghcr.io/kernel180-be12/final-4team-icebang/pre-processing-service:latest + container_name: pre-processing-service + restart: always + ports: + - "8000:8000" + networks: + - app-network + networks: app-network: driver: bridge