""" INSTRUMENT 분류 시스템 (간단 버전) 완제품 구매용 기본 분류만 """ import re from typing import Dict, List, Optional from .material_classifier import classify_material # ========== 기본 계기 타입 ========== INSTRUMENT_TYPES = { "PRESSURE_GAUGE": { "dat_file_patterns": ["PG_", "PRESS_G"], "description_keywords": ["PRESSURE GAUGE", "압력계", "PG"], "characteristics": "압력 측정용 게이지" }, "TEMPERATURE_GAUGE": { "dat_file_patterns": ["TG_", "TEMP_G"], "description_keywords": ["TEMPERATURE GAUGE", "온도계", "TG", "THERMOMETER"], "characteristics": "온도 측정용 게이지" }, "FLOW_METER": { "dat_file_patterns": ["FM_", "FLOW_"], "description_keywords": ["FLOW METER", "유량계", "FM"], "characteristics": "유량 측정용" }, "LEVEL_GAUGE": { "dat_file_patterns": ["LG_", "LEVEL_"], "description_keywords": ["LEVEL GAUGE", "액위계", "LG", "SIGHT GLASS"], "characteristics": "액위 측정용" }, "TRANSMITTER": { "dat_file_patterns": ["PT_", "TT_", "FT_", "LT_"], "description_keywords": ["TRANSMITTER", "트랜스미터", "4-20MA"], "characteristics": "신호 전송용" }, "INDICATOR": { "dat_file_patterns": ["PI_", "TI_", "FI_", "LI_"], "description_keywords": ["INDICATOR", "지시계", "DISPLAY"], "characteristics": "표시용" }, "SPECIAL_INSTRUMENT": { "dat_file_patterns": ["INST_", "SPEC_"], "description_keywords": ["THERMOWELL", "ORIFICE PLATE", "MANOMETER", "ROTAMETER"], "characteristics": "특수 계기류" } } def classify_instrument(dat_file: str, description: str, main_nom: str) -> Dict: """ 간단한 INSTRUMENT 분류 Args: dat_file: DAT_FILE 필드 description: DESCRIPTION 필드 main_nom: MAIN_NOM 필드 (연결 사이즈) Returns: 간단한 계기 분류 결과 """ # 1. 재질 분류 (공통 모듈) material_result = classify_material(description) # 2. 계기 타입 분류 instrument_type_result = classify_instrument_type(dat_file, description) # 3. 측정 범위 추출 (있다면) measurement_range = extract_measurement_range(description) # 4. 최종 결과 return { "category": "INSTRUMENT", # 재질 정보 "material": { "standard": material_result.get('standard', 'UNKNOWN'), "grade": material_result.get('grade', 'UNKNOWN'), "material_type": material_result.get('material_type', 'UNKNOWN'), "confidence": material_result.get('confidence', 0.0) }, # 계기 정보 "instrument_type": { "type": instrument_type_result.get('type', 'UNKNOWN'), "characteristics": instrument_type_result.get('characteristics', ''), "confidence": instrument_type_result.get('confidence', 0.0) }, "measurement_info": { "range": measurement_range.get('range', ''), "unit": measurement_range.get('unit', ''), "signal_type": measurement_range.get('signal_type', '') }, "size_info": { "connection_size": main_nom, "size_description": main_nom }, "purchase_info": { "category": "완제품 구매", "supplier_type": "계기 전문업체", "lead_time": "2-4주", "note": "사양서 확인 후 주문" }, # 간단한 신뢰도 "overall_confidence": calculate_simple_confidence([ material_result.get('confidence', 0), instrument_type_result.get('confidence', 0) ]) } def classify_instrument_type(dat_file: str, description: str) -> Dict: """계기 타입 분류""" dat_upper = dat_file.upper() desc_upper = description.upper() # DAT_FILE 패턴 확인 for inst_type, type_data in INSTRUMENT_TYPES.items(): for pattern in type_data["dat_file_patterns"]: if pattern in dat_upper: return { "type": inst_type, "characteristics": type_data["characteristics"], "confidence": 0.9, "evidence": [f"DAT_PATTERN: {pattern}"] } # DESCRIPTION 키워드 확인 for inst_type, type_data in INSTRUMENT_TYPES.items(): for keyword in type_data["description_keywords"]: if keyword in desc_upper: return { "type": inst_type, "characteristics": type_data["characteristics"], "confidence": 0.8, "evidence": [f"KEYWORD: {keyword}"] } return { "type": "UNKNOWN", "characteristics": "분류되지 않은 계기", "confidence": 0.0, "evidence": ["NO_INSTRUMENT_TYPE_FOUND"] } def extract_measurement_range(description: str) -> Dict: """측정 범위 추출 (간단히)""" desc_upper = description.upper() # 압력 범위 pressure_match = re.search(r'(\d+(?:\.\d+)?)\s*-\s*(\d+(?:\.\d+)?)\s*(PSI|BAR|KPA)', desc_upper) if pressure_match: return { "range": f"{pressure_match.group(1)}-{pressure_match.group(2)}", "unit": pressure_match.group(3), "signal_type": "PRESSURE" } # 온도 범위 temp_match = re.search(r'(\d+(?:\.\d+)?)\s*-\s*(\d+(?:\.\d+)?)\s*(°?C|°?F)', desc_upper) if temp_match: return { "range": f"{temp_match.group(1)}-{temp_match.group(2)}", "unit": temp_match.group(3), "signal_type": "TEMPERATURE" } # 신호 타입 if "4-20MA" in desc_upper or "4-20 MA" in desc_upper: return { "range": "4-20mA", "unit": "mA", "signal_type": "ANALOG" } return { "range": "", "unit": "", "signal_type": "" } def calculate_simple_confidence(scores: List[float]) -> float: """간단한 신뢰도 계산""" valid_scores = [s for s in scores if s > 0] return round(sum(valid_scores) / len(valid_scores), 2) if valid_scores else 0.0