pharmacy-pos-qr-system/backend/scripts/query_aniparm.py

169 lines
5.4 KiB
Python

# -*- 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:,}')
print(f'동물용(for_pets=true): {row.pet_count:,}')
print(f'image_url1 있음: {row.has_img1:,}')
print(f'godoimage_url_f 있음: {row.has_godo_f:,}')
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()