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@@ -421,7 +421,7 @@ def _fig_to_base64(fig, *, dpi=120):
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def generate_report_charts(filtered_df, *, daily_trend_df=None):
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- """生成报告内嵌的三张核心图表，返回 dict of base64 data URIs。"""
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+ """生成报告内嵌的四张核心图表，返回 dict of base64 data URIs。"""
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charts = {}
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# --- 1. 缺陷类型分布条形图 ---
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@@ -491,7 +491,7 @@ def generate_report_charts(filtered_df, *, daily_trend_df=None):
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sev_counts = filtered_df["severity"].value_counts()
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if not sev_counts.empty:
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fig, ax = plt.subplots(figsize=(4.5, 3.5))
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- sev_colors = {"轻微": "#22c55e", "一般": "#f59e0b", "严重": "#ef4444"}
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+ sev_colors = {"轻微": "#22c55e", "中等": "#f59e0b", "严重": "#ef4444"}
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colors = [sev_colors.get(name, "#94a3b8") for name in sev_counts.index]
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wedges, texts, autotexts = ax.pie(
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sev_counts.values, labels=sev_counts.index,
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@@ -516,6 +516,32 @@ def _series_rows(series):
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return list(series.items())
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+def build_report_chart_summaries(type_counts, equipment_counts=None, severity_counts=None, trend_summary="-"):
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+ """生成图表旁的结构化摘要，便于报告快速阅读和追溯。"""
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+ summaries = []
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+ type_rows = _series_rows(type_counts)
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+ if type_rows:
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+ total = max(sum(int(count) for _, count in type_rows), 1)
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+ name, count = type_rows[0]
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+ summaries.append(f"TOP1 缺陷类型：{name}，{int(count)} 个，占比 {count / total:.1%}")
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+
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+ equipment_rows = _series_rows(equipment_counts)
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+ if equipment_rows:
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+ name, count = equipment_rows[0]
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+ summaries.append(f"最高缺陷设备：{name}，{int(count)} 个缺陷")
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+
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+ severity_rows = _series_rows(severity_counts)
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+ if severity_rows:
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+ total = max(sum(int(count) for _, count in severity_rows), 1)
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+ serious_count = int(dict(severity_rows).get("严重", 0))
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+ summaries.append(f"严重缺陷占比：{serious_count / total:.1%}")
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+
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+ if trend_summary and trend_summary != "-":
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+ summaries.append(str(trend_summary))
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+
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+ return summaries
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+
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+
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def build_html_report(
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*,
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generated_at,
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@@ -531,11 +557,13 @@ def build_html_report(
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anomaly_rows=None,
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recommendations=None,
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charts=None,
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+ chart_summaries=None,
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):
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"""生成可直接在浏览器打开的自包含综合 HTML 报告。"""
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anomaly_rows = anomaly_rows or []
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recommendations = recommendations or []
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charts = charts or {}
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+ chart_summaries = chart_summaries or []
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type_rows = _series_rows(type_counts)
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equipment_rows = _series_rows(equipment_counts)
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seat_rows = _series_rows(seat_top)
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@@ -566,6 +594,9 @@ def build_html_report(
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recommendation_items = "\n".join(
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f"<li>{_escape(item)}</li>" for item in recommendations
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) or "<li>暂无建议</li>"
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+ chart_summary_items = "\n".join(
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+ f"<li>{_escape(item)}</li>" for item in chart_summaries
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+ ) or "<li>暂无图表摘要</li>"
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return f"""<!doctype html>
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<html lang="zh-CN">
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@@ -656,6 +687,11 @@ def build_html_report(
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<tr><td>严重缺陷</td><td>{int(kpis.get('critical_defects', 0))} 个</td></tr>
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</table>
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</div>
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+ <div class="card">
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+ <h2>图表摘要</h2>
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+ <ul>{chart_summary_items}</ul>
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+ <p class="note">摘要由导出时的筛选数据自动生成，适合会议或邮件快速阅读。</p>
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+ </div>
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<div class="card">
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<h2>2. 趋势分析</h2>
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<p>{_escape(trend_summary)}</p>
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