chore: DB 분석 스크립트 추가 (APC/바코드 조사용)

backend/scripts/query_aniparm.py

@@ -0,0 +1,168 @@
+# -*- coding: utf-8 -*-
+"""
+애니팜 PostgreSQL 조회 스크립트
+Usage:
+    python scripts/query_aniparm.py schema          # 테이블 구조 확인
+    python scripts/query_aniparm.py search <제품명>  # 제품 검색
+    python scripts/query_aniparm.py barcode <바코드> # 바코드로 검색
+    python scripts/query_aniparm.py sample          # 샘플 데이터
+    python scripts/query_aniparm.py stats           # 통계
+"""
+import sys
+import io
+import json
+
+# ═══════════════════════════════════════════════════════════
+# 인코딩 설정 (Windows CP949 문제 방지)
+# ═══════════════════════════════════════════════════════════
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
+from sqlalchemy import create_engine, text
+
+# PostgreSQL 연결
+DATABASE_URI = 'postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master'
+
+def get_connection():
+    engine = create_engine(DATABASE_URI)
+    return engine.connect()
+
+def cmd_schema():
+    """apc 테이블 구조 확인"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT column_name, data_type, character_maximum_length
+        FROM information_schema.columns
+        WHERE table_name = 'apc'
+        ORDER BY ordinal_position
+    """))
+    
+    print('=== apc 테이블 컬럼 ===')
+    for row in result:
+        length = f'({row.character_maximum_length})' if row.character_maximum_length else ''
+        print(f'  {row.column_name}: {row.data_type}{length}')
+    
+    conn.close()
+
+def cmd_search(keyword):
+    """제품명으로 검색"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT idx, apc, product_name, company_name, 
+               image_url1, godoimage_url_f, for_pets
+        FROM apc
+        WHERE product_name ILIKE :keyword
+        LIMIT 20
+    """), {'keyword': f'%{keyword}%'})
+    
+    print(f'=== "{keyword}" 검색 결과 ===')
+    count = 0
+    for row in result:
+        count += 1
+        print(f'\n[{count}] {row.product_name}')
+        print(f'    APC: {row.apc}')
+        print(f'    제조사: {row.company_name}')
+        print(f'    동물용: {row.for_pets}')
+        if row.image_url1:
+            print(f'    이미지1: {row.image_url1[:50]}...')
+        if row.godoimage_url_f:
+            print(f'    고도몰F: {row.godoimage_url_f[:50]}...')
+    
+    if count == 0:
+        print('(결과 없음)')
+    
+    conn.close()
+
+def cmd_barcode(barcode):
+    """바코드로 검색 - 바코드 컬럼이 있는지 먼저 확인"""
+    conn = get_connection()
+    
+    # 바코드 관련 컬럼 찾기
+    result = conn.execute(text("""
+        SELECT column_name FROM information_schema.columns
+        WHERE table_name = 'apc' 
+          AND column_name ILIKE '%barcode%'
+    """))
+    
+    barcode_cols = [row.column_name for row in result]
+    
+    if not barcode_cols:
+        print('apc 테이블에 barcode 관련 컬럼이 없습니다.')
+        print('다른 컬럼으로 검색해야 합니다.')
+    else:
+        print(f'바코드 컬럼 발견: {barcode_cols}')
+        # TODO: 바코드로 검색 구현
+    
+    conn.close()
+
+def cmd_sample():
+    """샘플 데이터 (동물용 제품)"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT idx, apc, product_name, company_name,
+               image_url1, godoimage_url_f, for_pets
+        FROM apc
+        WHERE for_pets = true
+        LIMIT 10
+    """))
+    
+    print('=== 동물용 제품 샘플 ===')
+    count = 0
+    for row in result:
+        count += 1
+        print(f'\n[{count}] {row.product_name}')
+        print(f'    APC: {row.apc}')
+        print(f'    제조사: {row.company_name}')
+        img = row.image_url1 or row.godoimage_url_f or '(없음)'
+        if len(img) > 50:
+            img = img[:50] + '...'
+        print(f'    이미지: {img}')
+    
+    if count == 0:
+        print('(동물용 제품 없음 - for_pets 필터 확인 필요)')
+    
+    conn.close()
+
+def cmd_stats():
+    """통계"""
+    conn = get_connection()
+    
+    result = conn.execute(text("""
+        SELECT 
+            COUNT(*) as total,
+            SUM(CASE WHEN for_pets = true THEN 1 ELSE 0 END) as pet_count,
+            SUM(CASE WHEN image_url1 IS NOT NULL AND image_url1 != '' THEN 1 ELSE 0 END) as has_img1,
+            SUM(CASE WHEN godoimage_url_f IS NOT NULL AND godoimage_url_f != '' THEN 1 ELSE 0 END) as has_godo_f
+        FROM apc
+    """))
+    
+    row = result.fetchone()
+    print('=== apc 테이블 통계 ===')
+    print(f'전체 제품: {row.total:,}개')
+    print(f'동물용(for_pets=true): {row.pet_count:,}개')
+    print(f'image_url1 있음: {row.has_img1:,}개')
+    print(f'godoimage_url_f 있음: {row.has_godo_f:,}개')
+    
+    conn.close()
+
+def main():
+    if len(sys.argv) < 2:
+        print(__doc__)
+        return
+    
+    cmd = sys.argv[1]
+    
+    if cmd == 'schema':
+        cmd_schema()
+    elif cmd == 'search' and len(sys.argv) > 2:
+        cmd_search(sys.argv[2])
+    elif cmd == 'barcode' and len(sys.argv) > 2:
+        cmd_barcode(sys.argv[2])
+    elif cmd == 'sample':
+        cmd_sample()
+    elif cmd == 'stats':
+        cmd_stats()
+    else:
+        print(__doc__)
+
+if __name__ == '__main__':
+    main()