feat(review): 审查结论改为结构化 JSON,移除二次 LLM 抽取
- checklist.py:系统提示加入结构化输出契约(只输出 {summary, issues[]},
引用 handle 必须真实存在、不得编造)
- review.py:review_frame 返回 {summary, issues, raw};仅在「不再请求工具」的回合
解析结论,中间工具回合的 content 永不解析;强制收口那次 chat 不传 tools
- report.py:删除 extract_issues 与 _EXTRACT_SYSTEM(不再需要第二次 LLM 调用);
新增 format_finding(用 .get,顺带修复缺 frame 键 KeyError);save_report 的
issues 省略时从 findings 拍平
- __main__.py:主流程改为 确定性检查 → review_frame → build_finding(合并+校验),
issues 由 flatten_issues 派生
顺带修复既有 gap:summarize 硬下标 KeyError、extract_issues 单行围栏解析失败。
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@@ -6,6 +6,8 @@ import sys
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from pathlib import Path
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from . import config
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from . import checks as checks_phase
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from . import findings as findings_mod
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from .annotator import annotate, clear
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from .checklist import build_system_prompt, checklist_summary
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from .context import ReviewContext
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@@ -80,25 +82,35 @@ def run_review(ctx, args):
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print(f"[evidence] 已写入 {path}")
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return 0
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print("[3/4] 审查:逐图框 LLM 审查(含受控只读取证子循环) ...")
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findings = []
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print("[3/4] 审查:确定性检查前置 + 逐图框 LLM 审查(含受控只读取证子循环) ...")
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frame_findings = []
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for ev in evidences:
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print(f" - 审查图框 {ev['index']} ...")
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text = review.review_frame(ctx, ev, system_prompt)
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findings.append(
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{
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"frame": ev["index"],
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"sheet": (ev.get("frame") or {}).get("sheet_size"),
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"finding": text,
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}
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checks = (
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checks_phase.run_deterministic_checks(ctx, ev)
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if config.DETERMINISTIC_CHECKS
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else []
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)
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conclusion = review.review_frame(ctx, ev, system_prompt)
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finding = findings_mod.build_finding(
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ev, conclusion, checks, validate_handles=config.VALIDATE_HANDLES
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)
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frame_findings.append(finding)
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counts = finding["counts"]
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preview = finding["summary"]
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if len(preview) > 200:
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preview = preview[:200] + "..."
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print(
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f" 结论:{preview}"
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f"(确定性 {counts['deterministic']} / LLM {counts['llm']}"
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f" / 未核实 {counts['unverified']})"
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)
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preview = text if len(text) <= 200 else text[:200] + "..."
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print(f" 结论:{preview}")
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print("[4/4] 汇总报告 ...")
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markdown = report.summarize(ctx, findings)
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issues = report.extract_issues(ctx, findings)
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report.save_report(markdown, findings, plan, issues)
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markdown = report.summarize(ctx, frame_findings)
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issues = findings_mod.flatten_issues(frame_findings)
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report.save_report(markdown, frame_findings, plan, issues)
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print()
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print(markdown)
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