42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
from __future__ import annotations
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import re
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from collections import defaultdict
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from review_agent.regulatory_review.schemas import Finding
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FIELDS = {
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"产品名称": r"产品名称[:：]\s*([^\n\r]+)",
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"型号规格": r"型号规格[:：]\s*([^\n\r]+)",
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"预期用途": r"预期用途[:：]\s*([^\n\r]+)",
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}
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def run_consistency_check(document_texts: dict[str, str]) -> list[Finding]:
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findings: list[Finding] = []
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for label, pattern in FIELDS.items():
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values: dict[str, list[str]] = defaultdict(list)
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for file_name, text in document_texts.items():
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match = re.search(pattern, text)
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if match:
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values[_normalize(match.group(1))].append(file_name)
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if len(values) <= 1:
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continue
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findings.append(
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Finding(
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rule_code=f"consistency:{label}",
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category="consistency",
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severity="high",
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title=f"{label}在不同文件中不一致",
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detail=f"发现 {len(values)} 个不同的{label}取值。",
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suggestion=f"请统一各注册资料中的{label}。",
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evidence={"field": label, "values": dict(values)},
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)
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)
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return findings
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def _normalize(value: str) -> str:
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return " ".join(value.strip().split())
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