from __future__ import annotations

from review_agent.models import FileSummaryBatch
from review_agent.regulatory_review.schemas import Finding


def run_completeness_check(batch: FileSummaryBatch, rule_set: dict) -> list[Finding]:
    items = list(batch.items.order_by("file_index"))
    findings: list[Finding] = []
    for requirement in rule_set.get("requirements", []):
        if requirement.get("type") not in {"required", "conditional", "recommended"}:
            continue
        matched = [
            item
            for item in items
            if _matches_item(item.file_name, item.relative_path, requirement.get("file_keywords", []))
        ]
        if matched:
            continue
        findings.append(
            Finding(
                rule_code=requirement["code"],
                category=requirement.get("category", "completeness"),
                severity=requirement.get("severity", "medium"),
                title=f"缺少{requirement['title']}",
                detail=f"当前文件汇总批次未发现{requirement['title']}。",
                suggestion=requirement.get("suggestion", ""),
                evidence={
                    "requirement_type": requirement.get("type"),
                    "matched_files": [],
                    "searched_keywords": requirement.get("file_keywords", []),
                },
            )
        )
    return findings


def _matches_item(file_name: str, relative_path: str, keywords: list[str]) -> bool:
    haystack = f"{file_name} {relative_path}".lower()
    return any(str(keyword).lower() in haystack for keyword in keywords)