14b09e1ac6
- 导出端点解析评测对象名与 completed 周期对比行（基线元信息、分析模型、现算机械 diff），渲染 `## 周期对比` 附录（趋势 + 指标变化表 + 问题演变 + 建议落实），紧跟智能分析之后；非 completed 则完全无痕 - 头部排版重优化：状态中文化、窗口与时段人类可读（24h、0h–1h）、友好时间戳、头部补评测对象名、「正式线」/「加速调试线 ×N」措辞（加速线附注压缩后实际耗时）；Run 级导出不动 - 测试：渲染器黄金断言更新 + 附录/头部/缺省用例，集成测试新增导出含对比、无对比行、failed 行三例
413 lines
16 KiB
Python
413 lines
16 KiB
Python
"""Pure renderers: report dict in, HTML/Markdown/JSON string out.
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No I/O and no storage access — every function takes the dict produced by the
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generation side (``evaluation.report``) so rendering can be unit-tested from a
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hand-built dict. Report *content* decisions (which cases pass, which rates to
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show) belong to generation; this module only formats.
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"""
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import json
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from datetime import datetime
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from typing import Any, Optional
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from jinja2 import Template
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HTML_TEMPLATE = """<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>评测报告 - {{ report.run_id }}</title>
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<style>
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body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; margin: 40px; background: #f5f5f5; }
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.container { max-width: 960px; margin: 0 auto; background: #fff; padding: 32px; border-radius: 8px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); }
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h1 { margin-top: 0; }
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.summary { display: grid; grid-template-columns: repeat(auto-fit, minmax(140px, 1fr)); gap: 16px; margin: 24px 0; }
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.card { background: #fafafa; border-radius: 6px; padding: 16px; text-align: center; }
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.card .value { font-size: 24px; font-weight: 700; }
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.card .label { color: #666; font-size: 14px; margin-top: 4px; }
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.case { border: 1px solid #e0e0e0; border-radius: 6px; margin: 16px 0; padding: 16px; }
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.case-title { font-weight: 600; margin-bottom: 8px; }
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.turn { background: #f9f9f9; border-radius: 4px; padding: 12px; margin: 8px 0; }
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.message-label { color: #666; font-size: 12px; }
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.rule { display: flex; align-items: center; gap: 8px; margin: 6px 0; }
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.badge { padding: 2px 8px; border-radius: 4px; font-size: 12px; }
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.pass { background: #e6f7e6; color: #2e7d32; }
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.fail { background: #ffebee; color: #c62828; }
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pre { white-space: pre-wrap; word-break: break-word; background: #f5f5f5; padding: 8px; border-radius: 4px; }
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</style>
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</head>
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<body>
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<div class="container">
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<h1>评测报告</h1>
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<p>评测对象：{{ report.target_name }}（{{ report.target_id }}）</p>
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<p>评测场景：{{ report.scenario_name }}（{{ report.scenario_id }}）</p>
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<p>执行时间：{{ report.started_at }} 至 {{ report.completed_at or '进行中' }}</p>
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<div class="summary">
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<div class="card">
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<div class="value">{{ report.summary.total_cases }}</div>
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<div class="label">用例总数</div>
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</div>
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<div class="card">
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<div class="value">{{ report.summary.passed_cases }}</div>
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<div class="label">通过用例</div>
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</div>
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<div class="card">
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<div class="value">{{ report.summary.total_rules }}</div>
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<div class="label">规则总数</div>
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</div>
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<div class="card">
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<div class="value">{{ "%.2f"|format(report.summary.pass_rate * 100) }}%</div>
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<div class="label">规则通过率</div>
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</div>
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</div>
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{% for case in report.cases %}
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<div class="case">
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<div class="case-title">用例 {{ case.case_id }}</div>
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{% for turn in case.turns %}
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<div class="turn">
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<div class="message-label">用户消息</div>
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<pre>{{ turn.sent_text }}</pre>
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<div class="message-label">智能体回复（{{ turn.latency_ms }}ms）</div>
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<pre>{{ turn.reply_text or '（无回复）' }}</pre>
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</div>
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{% endfor %}
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<div>
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{% for result in case.results %}
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<div class="rule">
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<span class="badge {{ 'pass' if result.passed else 'fail' }}">{{ '通过' if result.passed else '失败' }}</span>
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<span>{{ result.rule_type }}: {{ result.reason }}</span>
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</div>
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{% endfor %}
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</div>
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</div>
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{% endfor %}
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</div>
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</body>
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</html>
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"""
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def _pct(v: Optional[float]) -> str:
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return "—" if v is None else f"{v * 100:.1f}%"
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def _ms(v: Optional[float]) -> str:
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return "—" if v is None else f"{v:.0f}ms"
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def render_html(report: dict[str, Any]) -> str:
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"""Render a run report dict as an HTML string."""
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return Template(HTML_TEMPLATE).render(report=report)
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def render_json(report: dict[str, Any]) -> str:
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"""Render a report dict as a JSON string."""
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return json.dumps(report, ensure_ascii=False, indent=2)
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def render_markdown(report: dict[str, Any]) -> str:
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"""Render a run report dict as Markdown."""
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s = report["summary"]
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judged_rate = s.get("judged_pass_rate")
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judged_rate_text = "—" if judged_rate is None else f"{judged_rate * 100:.1f}%"
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lines: list[str] = [
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f"# 评测报告 — {report.get('scenario_name', report.get('run_id', ''))}",
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"",
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f"**评测对象**: {report.get('target_name', '-')} ",
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f"**评测场景**: {report.get('scenario_name', '-')} ",
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f"**状态**: {report.get('status', '-')} ",
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f"**开始时间**: {report.get('started_at', '-')} ",
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f"**完成时间**: {report.get('completed_at', '-')} ",
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"",
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"## 汇总",
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"",
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"| 指标 | 数值 |",
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"|------|------|",
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f"| 总用例数 | {s['total_cases']} |",
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f"| 通过用例 | {s['passed_cases']} |",
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f"| 失败用例 | {s['failed_cases']} |",
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f"| 总规则数 | {s['total_rules']} |",
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f"| 通过规则 | {s['passed_rules']} |",
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f"| 通过率 | {s['pass_rate'] * 100:.1f}% |",
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f"| 连通用例 | {s.get('connectivity_cases', 0)} |",
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f"| 判定型通过率 | {judged_rate_text} |",
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"",
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"## 用例明细",
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"",
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]
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for case in report.get("cases", []):
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if case.get("connectivity"):
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badge = "🔗"
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else:
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badge = "✅" if case.get("passed") else "❌"
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title = f"### {badge} 用例 `{case['case_id']}`"
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if case.get("connectivity"):
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title += "（连通用例，未配置判定标准）"
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lines.append(title)
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lines.append("")
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for turn in case.get("turns", []):
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lines.append(f"**第 {turn['round']} 轮**")
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lines.append("")
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lines.append(f"> **用户**: {turn.get('sent_text', '—')}")
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lines.append("")
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reply = turn.get("reply_text") or "（无回复）"
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lines.append(f"> **智能体**: {reply}")
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if turn.get("latency_ms") is not None:
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lines.append(f"> *延迟: {turn['latency_ms']}ms*")
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lines.append("")
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if case.get("results"):
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lines.append("**规则评估结果**")
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lines.append("")
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lines.append("| 规则 | 结果 | 评分 | 说明 |")
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lines.append("|------|------|------|------|")
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for r in case["results"]:
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badge = "✅" if r["passed"] else "❌"
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score = f"{r['score']:.2f}" if r.get("score") is not None else "-"
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lines.append(f"| {r['rule_type']} | {badge} | {score} | {r.get('reason', '')} |")
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lines.append("")
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return "\n".join(lines)
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_SEVERITY_LABELS = {"high": "高", "medium": "中", "low": "低"}
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def _render_analysis_lines(analysis: dict[str, Any], scenario_names: dict[str, str]) -> list[str]:
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"""Appendix for the campaign export: the structured analysis blocks."""
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def _name(sid: str) -> str:
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return scenario_names.get(sid, sid[:8])
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lines = ["", "## 智能分析", "", "### 总体结论", "", str(analysis.get("overall") or "—"), ""]
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problems = analysis.get("problems") or []
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if problems:
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lines += ["### 问题诊断", ""]
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for p in problems:
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severity = _SEVERITY_LABELS.get(p.get("severity"), "中")
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names = "、".join(_name(sid) for sid in p.get("scenario_ids") or [])
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head = f"- **[{severity}] {p.get('title', '')}**"
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if names:
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head += f"（场景：{names}）"
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lines.append(head)
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if p.get("description"):
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lines.append(f" {p['description']}")
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evidence = p.get("evidence_run_ids") or []
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if evidence:
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lines.append(" 证据 run：" + " ".join(f"`{rid}`" for rid in evidence))
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lines.append("")
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narratives = analysis.get("scenario_narratives") or []
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if narratives:
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lines += ["### 分场景叙述", ""]
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for n in narratives:
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lines.append(f"- **{_name(str(n.get('scenario_id', '')))}**：{n.get('narrative', '')}")
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lines.append("")
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suggestions = sorted(analysis.get("suggestions") or [], key=lambda s: s.get("priority", 0))
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if suggestions:
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lines += ["### 改善建议", ""]
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lines += [f"{i}. {s.get('text', '')}" for i, s in enumerate(suggestions, 1)]
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lines.append("")
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return lines
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_CAMPAIGN_STATUS_LABELS = {
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"planned": "计划中", "running": "进行中", "completed": "已完成",
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"cancelled": "已取消", "failed": "失败",
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}
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_TREND_LABELS = {"improving": "改善", "stable": "平稳", "regressing": "退化"}
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_EVOLUTION_LABELS = {"new": "新增", "persisting": "持续", "resolved": "消解"}
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_TRACKING_LABELS = {"addressed": "已落实", "partial": "部分落实", "unaddressed": "未落实", "new": "新增"}
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def _offset(seconds: float) -> str:
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"""Human-readable window offset: 86400 → 24h, 1800 → 30m, 45 → 45s."""
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s = int(round(seconds))
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if s % 3600 == 0:
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return f"{s // 3600}h"
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if s % 60 == 0:
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return f"{s // 60}m"
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return f"{s}s"
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def _dt(iso: Optional[str]) -> str:
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"""ISO timestamp → `2026-08-01 08:00`; unparseable input passes through."""
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if not iso:
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return "-"
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try:
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return datetime.fromisoformat(iso.replace("Z", "+00:00")).strftime("%Y-%m-%d %H:%M")
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except ValueError:
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return iso
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def _diff_cell(metric: str, pair: dict[str, Any]) -> str:
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"""One metric cell of the diff table: `基线 → 本期（±delta）`."""
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def _val(v: Optional[float]) -> str:
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if v is None:
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return "—"
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return _ms(v) if metric == "avg_latency_ms" else _pct(v)
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delta = pair.get("delta")
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if delta is None:
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delta_text = "—"
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elif metric == "avg_latency_ms":
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delta_text = f"{delta:+.1f}ms"
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else:
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delta_text = f"{delta * 100:+.1f}pp"
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return f"{_val(pair.get('baseline'))} → {_val(pair.get('current'))}（{delta_text}）"
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def _render_comparison_lines(comparison: dict[str, Any], scenario_names: dict[str, str]) -> list[str]:
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"""Appendix for the campaign export: narrative + mechanical metric diff.
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``comparison`` carries the completed narrative result plus context resolved
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on the read path (baseline name/times, model name, generated-at, diff).
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"""
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def _name(sid: str) -> str:
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return scenario_names.get(sid, sid[:8])
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result = comparison.get("result") or {}
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lines = ["", "## 周期对比", ""]
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meta: list[str] = []
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if comparison.get("baseline_name"):
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base = f"基线：「{comparison['baseline_name']}」"
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if comparison.get("baseline_completed_at"):
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base += f"（完成于 {_dt(comparison['baseline_completed_at'])}）"
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meta.append(base)
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if comparison.get("model_name"):
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meta.append(f"分析模型：{comparison['model_name']}")
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if comparison.get("updated_at"):
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meta.append(f"生成于：{_dt(comparison['updated_at'])}")
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if meta:
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lines += [" · ".join(meta), ""]
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trend = _TREND_LABELS.get(result.get("trend"), "平稳")
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lines += [f"**趋势**：{trend} — {result.get('summary') or '—'}", ""]
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diff = comparison.get("metric_diff")
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if diff:
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lines += [
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"### 指标变化",
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"",
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"| 维度 | 通过率 | 可用性 | 平均时延 |",
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"|------|------|------|------|",
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]
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def _row(label: str, block: dict[str, Any]) -> str:
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return (
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f"| {label} | {_diff_cell('pass_rate', block['pass_rate'])} | "
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f"{_diff_cell('availability', block['availability'])} | "
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f"{_diff_cell('avg_latency_ms', block['avg_latency_ms'])} |"
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)
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lines.append(_row("整窗（总体）", diff["overall"]))
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for s in diff.get("scenarios") or []:
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label = s.get("scenario_name") or _name(s.get("scenario_id", ""))
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lines.append(_row(label, s))
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lines.append("")
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evolution = result.get("problem_evolution") or []
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if evolution:
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lines += ["### 问题演变", ""]
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for p in evolution:
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status = _EVOLUTION_LABELS.get(p.get("status"), "持续")
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names = "、".join(_name(sid) for sid in p.get("scenario_ids") or [])
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head = f"- **[{status}] {p.get('title', '')}**"
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if names:
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head += f"（场景：{names}）"
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lines.append(head)
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if p.get("detail"):
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lines.append(f" {p['detail']}")
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lines.append("")
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tracking = result.get("suggestion_tracking") or []
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if tracking:
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lines += ["### 建议落实情况", ""]
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for t in tracking:
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status = _TRACKING_LABELS.get(t.get("status"), "未落实")
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lines.append(f"- **[{status}] {t.get('text', '')}**")
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if t.get("note"):
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lines.append(f" {t['note']}")
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lines.append("")
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return lines
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def _window_line(report: dict[str, Any]) -> str:
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"""Human-readable window line with the 正式线 / 加速调试线 wording."""
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window = report.get("window_seconds") or 0
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scale = float(report.get("time_scale") or 1)
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if scale == 1:
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return f"**窗口**: {_offset(window)}（正式线）"
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wall = f"，压缩后实际耗时约 {_offset(window / scale)}"
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return f"**窗口**: {_offset(window)}（加速调试线 ×{scale:g}{wall}）"
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def render_campaign_markdown(
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report: dict[str, Any],
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*,
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analysis: Optional[dict[str, Any]] = None,
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comparison: Optional[dict[str, Any]] = None,
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target_name: Optional[str] = None,
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scenario_names: Optional[dict[str, str]] = None,
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) -> str:
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"""Render a dual-axis campaign report dict as Markdown.
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``analysis`` and ``comparison`` are the stored 智能分析 / 周期对比 results
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(completed only); when absent the corresponding appendix is omitted
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entirely.
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"""
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s = report["summary"]
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status = _CAMPAIGN_STATUS_LABELS.get(report.get("status"), report.get("status") or "-")
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target = target_name or report.get("target_id") or "-"
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lines: list[str] = [
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f"# 活动周期报告 — {report['name']}",
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"",
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f"**评测对象**: {target} ",
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f"**状态**: {status} ",
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_window_line(report) + " ",
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f"**开始时间**: {_dt(report.get('started_at'))} ",
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f"**完成时间**: {_dt(report.get('completed_at'))} ",
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"",
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"## 汇总",
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"",
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"| 指标 | 数值 |",
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"|------|------|",
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f"| 子运行总数 | {s['total_runs']} |",
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f"| 已完成 | {s['completed_runs']} |",
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f"| 整窗通过率 | {_pct(s['overall_pass_rate'])} |",
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f"| 整窗可用性 | {_pct(s['overall_availability'])} |",
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f"| 平均时延 | {_ms(s['avg_latency_ms'])} |",
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"",
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"## 时间趋势",
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"",
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"| 时段 | 运行数 | 通过率 | 可用性 | 时延 |",
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"|------|------|------|------|------|",
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]
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for b in report["time_trend"]:
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lines.append(
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f"| {_offset(b['start_seconds'])}–{_offset(b['end_seconds'])} | {b['run_count']} | "
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f"{_pct(b['pass_rate'])} | {_pct(b['availability'])} | {_ms(b['avg_latency_ms'])} |"
|
||
)
|
||
lines += [
|
||
"",
|
||
"## 能力汇总",
|
||
"",
|
||
"| 场景 | 运行数 | 通过率 | 可用性 | 时延 |",
|
||
"|------|------|------|------|------|",
|
||
]
|
||
for c in report["capability_summary"]:
|
||
lines.append(
|
||
f"| {c['scenario_name']} | {c['run_count']} | {_pct(c['pass_rate'])} | "
|
||
f"{_pct(c['availability'])} | {_ms(c['avg_latency_ms'])} |"
|
||
)
|
||
if analysis:
|
||
lines += _render_analysis_lines(analysis, scenario_names or {})
|
||
if comparison:
|
||
lines += _render_comparison_lines(comparison, scenario_names or {})
|
||
return "\n".join(lines)
|