# -*- 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()