330 lines
14 KiB
Python
330 lines
14 KiB
Python
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# ============================================================
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# 图纸/工艺文档关键信息识别（moduleId: domain-drawing-process, 可重生 ✅）
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# 只产出 PENDING_REVIEW 候选：工艺/工序、分段/组立、场地、装配顺序、
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# 表面粗糙度、公差、螺纹、深度、材料等。标准工时/资源/数量一律不推断。
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# ============================================================
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from __future__ import annotations
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import re
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from hashlib import sha256
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from typing import Any
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PROCESS_VERSION = "drawing-process.v1"
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_PROCESS_TERMS: tuple[tuple[re.Pattern[str], str, str, str], ...] = (
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(re.compile(r"\bDREHEN\b|\bTURNING\b|\bTURN\b", re.IGNORECASE), "TURNING", "车削", "MACHINING"),
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(re.compile(r"\bFR[AÄ]SEN\b|\bMILLING\b|\bMILL\b", re.IGNORECASE), "MILLING", "铣削", "MACHINING"),
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(re.compile(r"\bBOHREN\b|\bDRILLING\b|\bDRILL\b", re.IGNORECASE), "DRILLING", "钻孔", "MACHINING"),
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(re.compile(r"\bSCHLEIFEN\b|\bGRINDING\b|\bGRIND\b", re.IGNORECASE), "GRINDING", "磨削", "MACHINING"),
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(
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re.compile(r"\bGEWINDE\b|\bTHREAD(?:ING)?\b|[MG]\d+(?:[xX*]\d+(?:\.\d+)?)?(?!\s*[:：]\s*\d)", re.IGNORECASE),
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"THREADING", "螺纹加工", "MACHINING",
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),
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(re.compile(r"\bSCHWEISSEN\b|\bWELD(?:ING)?\b|焊接", re.IGNORECASE), "WELDING", "焊接", "JOINING"),
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(re.compile(r"拼板|\bPANEL\s*FABRICATION\b", re.IGNORECASE), "PANEL_FABRICATION", "拼板", "FABRICATION"),
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(re.compile(r"装焊|\bFIT\s*-?\s*UP\s*WELD", re.IGNORECASE), "FIT_UP_WELDING", "装焊", "FABRICATION"),
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(re.compile(r"划线|\bMARK(?:ING)?\b", re.IGNORECASE), "MARKING", "划线", "FABRICATION"),
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(re.compile(r"下料|\bCUTTING\b|\bCUT\b", re.IGNORECASE), "CUTTING", "下料", "FABRICATION"),
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(re.compile(r"卷制|\bROLL(?:ING)?\b", re.IGNORECASE), "ROLLING", "卷制", "FABRICATION"),
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(re.compile(r"翻身|\bTURN\s*-?\s*OVER\b", re.IGNORECASE), "TURNOVER", "翻身", "FABRICATION"),
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(re.compile(r"反造|\bINVERTED\s*BUILD\b", re.IGNORECASE), "INVERTED_BUILD", "反造", "FABRICATION"),
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(re.compile(r"舾装|\bOUTFIT(?:TING)?\b", re.IGNORECASE), "OUTFITTING", "舾装", "OUTFITTING"),
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(re.compile(r"管系|\bPIPING\b|\bPIPE\b", re.IGNORECASE), "PIPING", "管系", "OUTFITTING"),
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(re.compile(r"胎架|平胎位|\bJIG\s*SETUP\b", re.IGNORECASE), "JIG_SETUP", "胎架定位", "FABRICATION"),
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(re.compile(r"大组|\bMAJOR\s*ASSEMBLY\b", re.IGNORECASE), "MAJOR_ASSEMBLY", "大组", "FABRICATION"),
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(re.compile(r"单面焊|\bSINGLE\s*-?\s*SIDE\s*WELD", re.IGNORECASE), "SINGLE_SIDE_WELDING", "单面焊", "WELDING"),
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(
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re.compile(
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r"\bMONTAGE\b|\bASSEMBLY\b|\bEINBAU\b|\bINSTALLATION\b|\bMOUNT(?:ING)?\b|"
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r"\bANSCHLUSS\b|\bCONNECTION\b|装配|组装",
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re.IGNORECASE,
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),
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"ASSEMBLY", "装配/连接", "ASSEMBLY",
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),
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(re.compile(r"\bENTGRATEN\b|\bDEBURRING\b|\bDEBURR\b", re.IGNORECASE), "DEBURRING", "去毛刺", "FINISH"),
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(re.compile(r"\bOBERFL[AÄ]CHE\b|\bSURFACE\b", re.IGNORECASE), "SURFACE_TREATMENT", "表面处理", "SURFACE"),
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(
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re.compile(r"\bKORROSION\b|\bCORROSION\b|\bSCHUTZ\b|\bPROTECTION\b", re.IGNORECASE),
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"CORROSION_PROTECTION", "防腐保护", "SURFACE",
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),
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)
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_DETAIL_PATTERNS: tuple[tuple[str, re.Pattern[str]], ...] = (
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("surfaceRoughness", re.compile(r"\bR[aA]\s*\d+(?:\.\d+)?\b", re.IGNORECASE)),
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("tolerance", re.compile(r"±\s*\d+(?:\.\d+)?|\bISO\s*2768\b|\bTOLERANZ\b|\bTOLERANCE\b", re.IGNORECASE)),
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("threadSpecification", re.compile(r"\b[MG]\d+(?:[xX*]\d+(?:\.\d+)?)?(?!\s*[:：]\s*\d)", re.IGNORECASE)),
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("depthMm", re.compile(r"\b(\d+)\s*(?:DEEP|TIEF|T)\b", re.IGNORECASE)),
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(
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"materialSpecification",
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re.compile(
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r"\b(?:STAHL|STEEL|ALU(?:MINIUM)?|KUPFER|COPPER|EDELSTAHL|STAINLESS|MESSING|BRASS)\b",
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re.IGNORECASE,
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),
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),
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)
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_BLOCK_GROUP_RE = re.compile(
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r"(?P<name1>[\u4e00-\u9fff]{1,16}?)(?:分段)?[（(]?(?P<code1>\d{3,}(?:[、，,、/\s]*\d{3,})*)[）)]?(?:\s*分段)?"
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r"|(?P<code2>\d{3,}(?:[、，,、/\s]*\d{3,})*)[\u4e00-\u9fff]{0,16}分段"
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r"|FR\s*\d+[\u4e00-\u9fff]*组立",
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re.IGNORECASE,
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)
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_ASSEMBLY_CUTS = (
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"完成焊接后翻身装配到",
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"翻身装配到",
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"装配到",
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"为基装配",
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"先以",
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"再装配",
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"依次",
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"然后",
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"完成后",
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"形成",
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"分为",
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"包含",
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"主要",
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"再",
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"先",
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"以",
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"等",
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)
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_LOCATION_RE = re.compile(r"上建场地|联合厂房|平胎位|大组胎架|分片制作场地|片制作场地|分片场地")
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_SEQUENCE_MARKER_RE = re.compile(r"先|再|然后|依次|完成后|完成|以[\u4e00-\u9fff]{1,12}为胎|根据|最后|随后|之后")
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def _stable_id(kind: str, digest: str, suffix: str) -> str:
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seed = f"{kind}:{digest}:{suffix}".encode()
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return f"{kind}_{sha256(seed).hexdigest()[:20]}"
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def _line_key(line: str) -> str:
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return re.sub(r"\s+", " ", str(line or "").strip()).upper()
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def _evidence(evidence: dict[str, Any], source: str, text: str) -> dict[str, Any]:
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payload = {"source": source, "text": text}
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for key, value in evidence.items():
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if key == "source":
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continue
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payload[key] = value
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return payload
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def _scan_sources(
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digest: str,
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sources: list[tuple[str, dict[str, Any]]],
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) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
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operations: dict[str, dict[str, Any]] = {}
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details: dict[str, dict[str, Any]] = {}
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for raw, evidence in sources:
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line = str(raw or "").strip()
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if not line:
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continue
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for pattern, code, name, category in _PROCESS_TERMS:
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if not pattern.search(line):
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continue
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key = f"{code}:{_line_key(line)}"
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if key in operations:
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continue
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operations[key] = {
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"candidateId": _stable_id("processOperation", digest, key),
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"candidateType": "PROCESS_OPERATION",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"processCode": code,
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"processName": name,
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"category": category,
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"operationCode": code,
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"operationName": name,
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"standardTime": None,
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"resourceCode": None,
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"confidence": 0.7 if evidence.get("source") == "drawingText" else 0.62,
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"unknownFields": ["standardTime", "resourceCode", "operationDescription"],
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"evidence": _evidence(evidence, str(evidence.get("source") or "drawingText"), line),
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}
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for field, pattern in _DETAIL_PATTERNS:
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match = pattern.search(line)
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if field == "tolerance":
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numeric = re.search(r"±\s*\d+(?:\.\d+)?", line)
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match = numeric or match
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if not match:
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continue
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value = match.group(0)
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key = f"{field}:{_line_key(line)}"
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if key in details:
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continue
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details[key] = {
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"candidateId": _stable_id("processDetail", digest, key),
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"candidateType": "PROCESS_DETAIL",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"field": field,
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"value": value,
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"confidence": 0.62,
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"unknownFields": ["mappedMasterField"],
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"evidence": _evidence(evidence, str(evidence.get("source") or "drawingText"), line),
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}
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ordered_ops = list(operations.values())
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for index, row in enumerate(ordered_ops):
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row["sequenceHint"] = (index + 1) * 10
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return ordered_ops, list(details.values())
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def _scan_structured(
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blob: str,
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digest: str,
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) -> tuple[list[dict[str, Any]], list[dict[str, Any]], list[dict[str, Any]], list[dict[str, Any]]]:
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blocks: dict[str, dict[str, Any]] = {}
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for match in _BLOCK_GROUP_RE.finditer(blob):
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raw = match.group(0)
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code = (match.group("code1") or match.group("code2") or "").strip()
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if not code and raw.upper().startswith("FR"):
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code = re.match(r"FR\s*\d+", raw, re.IGNORECASE).group(0)
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if not code:
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continue
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name = (match.group("name1") or "").strip()
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if not name and match.group("code2"):
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name = re.sub(r"^[0-9、，,、/\s]+", "", raw).replace("分段", "").strip()
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if not name and raw.upper().startswith("FR"):
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name = re.sub(r"^FR\s*\d+", "", raw).replace("组立", "").strip()
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key = _line_key(code)
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if key in blocks:
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continue
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blocks[key] = {
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"candidateId": _stable_id("processBlock", digest, key),
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"candidateType": "BLOCK_GROUP",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"blockCode": re.sub(r"\s+", "", code),
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"blockName": name or None,
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"confidence": 0.66,
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"unknownFields": ["blockDrawing", "weight", "quantity"],
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"evidence": {"source": "processText", "text": match.group(0)},
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}
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assemblies: dict[str, dict[str, Any]] = {}
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for match in re.finditer(r"组立", blob):
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start = max(0, match.start() - 20)
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raw = blob[start:match.end()]
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segments = re.split(r"[、，。；：/\s]+", raw)
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name = segments[-1].strip() if segments else raw
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name = re.sub(r"^\d+(?:\.\d+)?", "", name)
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for separator in _ASSEMBLY_CUTS:
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index = name.find(separator)
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if index >= 0:
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name = name[index + len(separator):]
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break
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name = re.split(r"[，,和):：]+", name)[-1].strip()
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name = re.sub(r"(?:等|以及|、|。|；|：)$", "", name).strip("（()）")[:16]
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if name == "组立" or not name.endswith("组立") or not re.search(r"[\u4e00-\u9fff]{2}", name):
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continue
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key = _line_key(name)
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if key in assemblies:
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continue
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assemblies[key] = {
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"candidateId": _stable_id("processAssembly", digest, key),
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"candidateType": "ASSEMBLY_GROUP",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"assemblyName": name,
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"confidence": 0.64,
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"unknownFields": ["memberParts", "sequence", "drawing"],
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"evidence": {"source": "processText", "text": name},
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}
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locations: dict[str, dict[str, Any]] = {}
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for match in _LOCATION_RE.finditer(blob):
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name = match.group(0)
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key = _line_key(name)
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if key in locations:
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continue
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locations[key] = {
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"candidateId": _stable_id("processLocation", digest, key),
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"candidateType": "PROCESS_LOCATION",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"location": name,
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"confidence": 0.7,
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"evidence": {"source": "processText", "text": name},
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}
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sequence_steps: list[dict[str, Any]] = []
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for index, sentence in enumerate(re.split(r"[。；\n]+", blob), start=1):
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sentence = sentence.strip()
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if not sentence:
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continue
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markers = sorted({m for m in _SEQUENCE_MARKER_RE.findall(sentence) if m})
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if not markers:
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continue
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sequence_steps.append({
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"candidateId": _stable_id("processSequence", digest, f"{index}:{_line_key(sentence)}"),
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"candidateType": "PROCESS_SEQUENCE_STEP",
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"status": "PENDING_REVIEW",
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"reviewRequired": True,
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"stepIndex": index,
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"sentence": sentence,
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"markers": markers,
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"confidence": 0.6,
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"unknownFields": ["parentBlock", "workstation", "duration"],
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"evidence": {"source": "processText", "text": sentence},
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})
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return list(blocks.values()), list(assemblies.values()), list(locations.values()), sequence_steps
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def recognize_process_text(text: str, *, source: str = "processDocument") -> dict[str, Any]:
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"""Parse free-form process/construction text into structured reviewable candidates."""
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digest = sha256(str(text or "").encode("utf-8")).hexdigest()
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sentences = [part.strip() for part in re.split(r"[。；\n]+", str(text or "")) if part.strip()]
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sources = [(sentence, {"source": source}) for sentence in sentences]
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operations, details = _scan_sources(digest, sources)
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|
|
blocks, assemblies, locations, sequence_steps = _scan_structured(str(text or ""), digest)
|
|||
|
|
return {
|
|||
|
|
"contractVersion": PROCESS_VERSION,
|
|||
|
|
"operations": operations,
|
|||
|
|
"details": details,
|
|||
|
|
"blocks": blocks,
|
|||
|
|
"assemblies": assemblies,
|
|||
|
|
"locations": locations,
|
|||
|
|
"sequenceSteps": sequence_steps,
|
|||
|
|
"status": "PENDING_REVIEW",
|
|||
|
|
"reviewRequired": True,
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
|
|||
|
|
def recognize_process_candidates(
|
|||
|
|
parsed: dict[str, Any],
|
|||
|
|
part_list_rows: list[dict[str, Any]] | None = None,
|
|||
|
|
) -> dict[str, Any]:
|
|||
|
|
"""Scan drawing text and part-list names for reviewable process/operation/detail candidates."""
|
|||
|
|
asset = parsed.get("asset") or {}
|
|||
|
|
digest = str(asset.get("sha256") or "")
|
|||
|
|
sources: list[tuple[str, dict[str, Any]]] = []
|
|||
|
|
text_parts: list[str] = []
|
|||
|
|
for row in parsed.get("texts") or []:
|
|||
|
|
evidence = dict(row.get("evidence") or {})
|
|||
|
|
raw = str(row.get("text") or "")
|
|||
|
|
sources.append((raw, {"source": "drawingText", **evidence}))
|
|||
|
|
text_parts.append(raw)
|
|||
|
|
for row in part_list_rows or []:
|
|||
|
|
name = str(row.get("componentName") or "").strip()
|
|||
|
|
if name:
|
|||
|
|
evidence = dict(row.get("evidence") or {})
|
|||
|
|
sources.append((name, {"source": "partListName", **evidence}))
|
|||
|
|
text_parts.append(name)
|
|||
|
|
operations, details = _scan_sources(digest, sources)
|
|||
|
|
blocks, assemblies, locations, sequence_steps = _scan_structured("\n".join(text_parts), digest)
|
|||
|
|
return {
|
|||
|
|
"contractVersion": PROCESS_VERSION,
|
|||
|
|
"operations": operations,
|
|||
|
|
"details": details,
|
|||
|
|
"blocks": blocks,
|
|||
|
|
"assemblies": assemblies,
|
|||
|
|
"locations": locations,
|
|||
|
|
"sequenceSteps": sequence_steps,
|
|||
|
|
"status": "PENDING_REVIEW",
|
|||
|
|
"reviewRequired": True,
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
|
|||
|
|
__all__ = ["PROCESS_VERSION", "recognize_process_candidates", "recognize_process_text"]
|