83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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동물약 일괄 APC 매칭 - 후보 찾기
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"""
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import sys, io
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
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from db.dbsetup import get_db_session
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from sqlalchemy import text, create_engine
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# 1. MSSQL 동물약 (APC 없는 것만)
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session = get_db_session('PM_DRUG')
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result = session.execute(text("""
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SELECT
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G.DrugCode,
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G.GoodsName,
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G.Saleprice,
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(
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SELECT TOP 1 U.CD_CD_BARCODE
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FROM CD_ITEM_UNIT_MEMBER U
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WHERE U.DRUGCODE = G.DrugCode
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AND U.CD_CD_BARCODE LIKE '023%'
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) AS APC_CODE
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FROM CD_GOODS G
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WHERE G.POS_BOON = '010103'
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AND G.GoodsSelCode = 'B'
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ORDER BY G.GoodsName
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"""))
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no_apc = []
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for row in result:
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if not row.APC_CODE:
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no_apc.append({
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'code': row.DrugCode,
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'name': row.GoodsName,
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'price': row.Saleprice
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})
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session.close()
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print(f'=== APC 없는 동물약: {len(no_apc)}개 ===\n')
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# 2. PostgreSQL에서 매칭 후보 찾기
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pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
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matches = []
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for drug in no_apc:
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name = drug['name']
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# 제품명에서 검색 키워드 추출
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# (판) 제거, 괄호 내용 제거
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search_name = name.replace('(판)', '').split('(')[0].strip()
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# PostgreSQL 검색
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result = pg.execute(text("""
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SELECT apc, product_name,
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llm_pharm->>'사용가능 동물' as target,
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llm_pharm->>'분류' as category
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FROM apc
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WHERE product_name ILIKE :pattern
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ORDER BY LENGTH(product_name)
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LIMIT 5
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"""), {'pattern': f'%{search_name}%'})
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candidates = list(result)
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if candidates:
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matches.append({
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'mssql': drug,
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'candidates': candidates
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})
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print(f'✅ {name}')
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for c in candidates[:2]:
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print(f' → {c.apc}: {c.product_name[:40]}... [{c.target or "?"}]')
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else:
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print(f'❌ {name} - 매칭 없음')
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pg.close()
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print(f'\n=== 요약 ===')
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print(f'APC 없는 제품: {len(no_apc)}개')
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print(f'매칭 후보 있음: {len(matches)}개')
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print(f'매칭 없음: {len(no_apc) - len(matches)}개')
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