41 lines
1.6 KiB
Python
41 lines
1.6 KiB
Python
from __future__ import annotations
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from review_agent.models import FileSummaryBatch
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from review_agent.regulatory_review.schemas import Finding
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def run_completeness_check(batch: FileSummaryBatch, rule_set: dict) -> list[Finding]:
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items = list(batch.items.order_by("file_index"))
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findings: list[Finding] = []
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for requirement in rule_set.get("requirements", []):
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if requirement.get("type") not in {"required", "conditional", "recommended"}:
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continue
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matched = [
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item
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for item in items
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if _matches_item(item.file_name, item.relative_path, requirement.get("file_keywords", []))
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]
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if matched:
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continue
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findings.append(
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Finding(
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rule_code=requirement["code"],
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category=requirement.get("category", "completeness"),
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severity=requirement.get("severity", "medium"),
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title=f"缺少{requirement['title']}",
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detail=f"当前文件汇总批次未发现{requirement['title']}。",
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suggestion=requirement.get("suggestion", ""),
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evidence={
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"requirement_type": requirement.get("type"),
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"matched_files": [],
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"searched_keywords": requirement.get("file_keywords", []),
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},
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)
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)
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return findings
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def _matches_item(file_name: str, relative_path: str, keywords: list[str]) -> bool:
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haystack = f"{file_name} {relative_path}".lower()
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return any(str(keyword).lower() in haystack for keyword in keywords)
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