按报告类型归并追加内容并统一导出

app/services/reports.py

@@ -2,6 +2,7 @@
 
 from io import BytesIO
 from pathlib import Path
+from typing import Any
 
 from docx import Document
 from docx.enum.table import WD_CELL_VERTICAL_ALIGNMENT
@@ -143,6 +144,65 @@ def report_card_lines(card: ReportCard) -> list[tuple[str, str]]:
     return lines
 
 
+def _unique_by(items: list[Any], key) -> list[Any]:  # noqa: ANN001
+    seen: set[Any] = set()
+    result: list[Any] = []
+    for item in items:
+        value = key(item)
+        if value in seen:
+            continue
+        seen.add(value)
+        result.append(item)
+    return result
+
+
+def aggregate_report_data(result: RiskAssessmentResult) -> dict[str, Any]:
+    """Merge appended cards into the report's native sections.
+
+    A card is an input action, not a report section.  Its fields are folded
+    into the matching section so the browser, PDF and Word output have the
+    same information architecture.
+    """
+
+    cards = effective_report_cards(result)
+    supplier_cards = [card for card in cards if card.type == "supplier"]
+    material_cards = [card for card in cards if card.type == "material"]
+    solution_cards = [card for card in cards if card.type == "solution"]
+    standards = _unique_by(
+        [*result.standard_judgment, *(item for card in cards for item in card.standards)],
+        lambda item: (item.category, item.risk_point, item.rule, item.status),
+    )
+    similar_cases = _unique_by(
+        [*result.similar_cases, *(item for card in cards for item in card.similar_cases)],
+        lambda item: (
+            item.case_id,
+            item.date,
+            item.product,
+            item.problem or item.description,
+            item.solution,
+        ),
+    )
+    suggestions = _unique_by(
+        [*result.ai_suggestions, *(item for card in cards for item in card.suggestions)],
+        lambda item: item,
+    )
+    detected_values = [item for card in cards for item in card.detected_values]
+    risks = [(card.title, risk) for card in solution_cards for risk in card.risks]
+    analyses = [card for card in solution_cards if card.analysis_base or card.confidence or card.warning]
+    return {
+        "cards": cards,
+        "supplier_cards": supplier_cards,
+        "material_cards": material_cards,
+        "solution_cards": solution_cards,
+        "standards": standards,
+        "similar_cases": similar_cases,
+        "suggestions": suggestions,
+        "detected_values": detected_values,
+        "risks": risks,
+        "analyses": analyses,
+    }
+
+
 def _font_name() -> str:
     candidates = [
         Path("C:/Windows/Fonts/msyh.ttc"),
@@ -188,6 +248,10 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
     supplier_name = result.supplier_freq.supplier_name if result.supplier_freq else None
     report_number = f"RP-{result.subject_id[:8]}-{round(result.score)}"
     generated_at = __import__("datetime").datetime.now().strftime("%Y-%m-%d %H:%M")
+    report_data = aggregate_report_data(result)
+    standards = report_data["standards"]
+    similar_cases = report_data["similar_cases"]
+    suggestions = report_data["suggestions"]
     story = [
         Paragraph("新品风险预估报告", title),
         Paragraph(f"蝶雅产品部 · 风险预估系统 · 自动生成 · {generated_at}", subtitle),
@@ -268,27 +332,52 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
         ]
 
     supplier = result.supplier_freq
-    if supplier and supplier.supplier_name:
+    supplier_cards = report_data["supplier_cards"]
+    if (supplier and supplier.supplier_name) or supplier_cards:
         supplier_rows = [["维度", "数值", "说明"]]
-        if supplier.cooperation_count is not None:
+        if supplier and supplier.cooperation_count is not None:
             supplier_rows.append(["合作次数", f"{supplier.cooperation_count} 次", "近三年采购订单去重单据数"])
+        if supplier:
             supplier_rows.append(["异常次数", f"{supplier.anomaly_count or 0} 次", "异常案例库统计"])
-        if supplier.alpha is not None:
+        if supplier and supplier.alpha is not None:
             supplier_rows.append(
                 ["频次风险系数", f"×{supplier.alpha:.2f}", "α = 1.0 +（采购订单数 / 100）× 0.3，最高1.5"]
             )
-        if supplier.tier:
+        if supplier and supplier.tier:
             supplier_rows.append(["供应商层级", supplier.tier, supplier.suggestion or ""])
+        for card in supplier_cards:
+            if card.name:
+                supplier_rows.append(["供应商名称", card.name, "供应商画像统计"])
+            for label, value in report_card_lines(card):
+                if label not in {"卡片类型", "分析对象", "对象类型"}:
+                    supplier_rows.append([label, value, "追加供应商画像数据"])
         story += [Paragraph("三、供应商合作频次分析", section), table(supplier_rows, [38 * mm, 35 * mm, 87 * mm])]
 
-    story += [Paragraph(f"四、相似案例匹配（{len(result.similar_cases)} 条）", section)]
+    material_cards = report_data["material_cards"]
-    if result.similar_cases:
+    if material_cards:
+        story += [Paragraph("四、物料风险分析", section)]
+        material_rows = [["物料/字段", "分析结果"]]
+        for card in material_cards:
+            material_rows.append(
+                [
+                    card.material or card.title,
+                    "；".join(
+                        f"{label}：{value}"
+                        for label, value in report_card_lines(card)
+                        if label not in {"卡片类型", "分析对象"}
+                    ),
+                ]
+            )
+        story.append(table(material_rows, [45 * mm, 115 * mm]))
+
+    story += [Paragraph(f"五、相似案例匹配（{len(similar_cases)} 条）", section)]
+    if similar_cases:
         story.append(
             table(
                 [["日期", "产品", "问题", "处理方案"]]
                 + [
                     [case.date or "未知", case.product or "未命名", case.problem or "未填写", case.solution or "未填写"]
-                    for case in result.similar_cases
+                    for case in similar_cases
                 ],
                 [28 * mm, 42 * mm, 48 * mm, 42 * mm],
             )
@@ -296,27 +385,35 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
     else:
         story.append(Paragraph("暂无相关案例，RAG 相似案例检索未返回匹配结果。", small))
 
-    story += [Paragraph("五、预防建议", section)]
+    story += [Paragraph("六、预防建议", section)]
-    for index, suggestion in enumerate(
+    for index, suggestion in enumerate(suggestions or ["优先针对低分维度安排专项验证，并明确责任人与完成节点。"], 1):
-        result.ai_suggestions or ["优先针对低分维度安排专项验证，并明确责任人与完成节点。"], 1
-    ):
         story.append(Paragraph(f"{index}. {suggestion}", body))
     story += [
-        Paragraph("六、AI 推理方案（无历史案例场景）", section),
+        Paragraph("七、AI 推理方案（无历史案例场景）", section),
         Paragraph(
             "本次评估已采用历史案例与标准库双引擎结论；若后续未匹配到足够历史案例，将基于相似品类、相似物料生成类比方案，并由标准库进行规则兜底。",
             body,
         ),
     ]
 
-    story += [Paragraph("七、标准判定结果", section)]
+    for card in report_data["solution_cards"]:
-    if result.standard_judgment:
+        if card.analysis_base:
+            story.append(Paragraph(f"分析基础：{card.analysis_base}", body))
+        if card.confidence:
+            story.append(Paragraph(f"置信度：{card.confidence}", body))
+        for risk in card.risks:
+            story.append(Paragraph(f"{risk.level} · {risk.title}：{risk.detail}", body))
+        if card.warning:
+            story.append(Paragraph(f"风险提示：{card.warning}", body))
+
+    story += [Paragraph("八、标准判定结果", section)]
+    if standards:
         story.append(
             table(
                 [["判定维度", "判定标准", "标准来源", "当前状态"]]
                 + [
                     [f"{item.category} · {item.risk_point}", item.rule, item.source or "标准文件.xlsx", item.status]
-                    for item in result.standard_judgment
+                    for item in standards
                 ],
                 [38 * mm, 55 * mm, 40 * mm, 27 * mm],
             )
@@ -325,18 +422,6 @@ def build_risk_report_pdf(result: RiskAssessmentResult) -> bytes:
         story.append(Paragraph("暂无相关标准。", small))
     story.append(Paragraph("双引擎融合：历史异常经验引擎提供风险优先级，标准库提供可执行的检测阈值与验证任务。", small))
 
-    cards = effective_report_cards(result)
-    if cards:
-        story += [Paragraph("八、追加卡片分析", section)]
-        for index, card in enumerate(cards, 1):
-            story.append(Paragraph(f"{index}. {card.title}", body))
-            story.append(
-                table(
-                    [["字段", "内容"]] + [[label, value] for label, value in report_card_lines(card)],
-                    [38 * mm, 122 * mm],
-                )
-            )
-
     output = BytesIO()
     doc = SimpleDocTemplate(
         output,
@@ -371,6 +456,10 @@ def build_risk_report_docx(result: RiskAssessmentResult) -> bytes:
     subtitle = document.add_paragraph()
     subtitle.alignment = WD_ALIGN_PARAGRAPH.CENTER
     subtitle.add_run(f"蝶雅产品部 · 风险预估系统 · 自动生成 · {result.subject_id}").font.size = Pt(9)
+    report_data = aggregate_report_data(result)
+    standards = report_data["standards"]
+    similar_cases = report_data["similar_cases"]
+    suggestions = report_data["suggestions"]
 
     def heading(text: str) -> None:
         p = document.add_paragraph()
@@ -454,58 +543,83 @@ def build_risk_report_docx(result: RiskAssessmentResult) -> bytes:
                 ],
             ]
         )
-    if result.supplier_freq and result.supplier_freq.supplier_name:
+    supplier_cards = report_data["supplier_cards"]
+    if (result.supplier_freq and result.supplier_freq.supplier_name) or supplier_cards:
         heading("三、供应商合作频次分析")
         rows = [["维度", "数值", "说明"]]
-        if result.supplier_freq.cooperation_count is not None:
+        if result.supplier_freq and result.supplier_freq.cooperation_count is not None:
             rows.append(["合作次数", f"{result.supplier_freq.cooperation_count} 次", "近三年采购订单去重单据数"])
+        if result.supplier_freq:
             rows.append(["异常次数", f"{result.supplier_freq.anomaly_count or 0} 次", "异常案例库统计"])
-        if result.supplier_freq.alpha is not None:
+        if result.supplier_freq and result.supplier_freq.alpha is not None:
             rows.append(
                 ["频次风险系数", f"×{result.supplier_freq.alpha:.2f}", "α = 1.0 +（采购订单数 / 100）× 0.3，最高1.5"]
             )
-        if result.supplier_freq.tier:
+        if result.supplier_freq and result.supplier_freq.tier:
             rows.append(["供应商层级", result.supplier_freq.tier, result.supplier_freq.suggestion or ""])
+        for card in supplier_cards:
+            if card.name:
+                rows.append(["供应商名称", card.name, "供应商画像统计"])
+            for label, value in report_card_lines(card):
+                if label not in {"卡片类型", "分析对象", "对象类型"}:
+                    rows.append([label, value, "追加供应商画像数据"])
         add_table(rows)
-    heading(f"四、相似案例匹配（{len(result.similar_cases)} 条）")
+    material_cards = report_data["material_cards"]
-    if result.similar_cases:
+    if material_cards:
+        heading("四、物料风险分析")
+        rows = [["物料/字段", "分析结果"]]
+        for card in material_cards:
+            rows.append(
+                [
+                    card.material or card.title,
+                    "；".join(
+                        f"{label}：{value}"
+                        for label, value in report_card_lines(card)
+                        if label not in {"卡片类型", "分析对象"}
+                    ),
+                ]
+            )
+        add_table(rows)
+    heading(f"五、相似案例匹配（{len(similar_cases)} 条）")
+    if similar_cases:
         add_table(
             [["日期", "产品", "问题", "处理方案"]]
             + [
                 [case.date or "未知", case.product or "未命名", case.problem or "未填写", case.solution or "未填写"]
-                for case in result.similar_cases
+                for case in similar_cases
             ]
         )
     else:
         document.add_paragraph("暂无相关案例，RAG 相似案例检索未返回匹配结果。")
-    heading("五、预防建议")
+    heading("六、预防建议")
-    for index, suggestion in enumerate(
+    for index, suggestion in enumerate(suggestions or ["优先针对低分维度安排专项验证，并明确责任人与完成节点。"], 1):
-        result.ai_suggestions or ["优先针对低分维度安排专项验证，并明确责任人与完成节点。"], 1
-    ):
         document.add_paragraph(f"{index}. {suggestion}")
-    heading("六、AI 推理方案（无历史案例场景）")
+    heading("七、AI 推理方案（无历史案例场景）")
     document.add_paragraph(
         "本次评估已采用历史案例与标准库双引擎结论；若后续未匹配到足够历史案例，将基于相似品类、相似物料生成类比方案，并由标准库进行规则兜底。"
     )
-    heading("七、标准判定结果")
+    for card in report_data["solution_cards"]:
-    if result.standard_judgment:
+        if card.analysis_base:
+            document.add_paragraph(f"分析基础：{card.analysis_base}")
+        if card.confidence:
+            document.add_paragraph(f"置信度：{card.confidence}")
+        for risk in card.risks:
+            document.add_paragraph(f"{risk.level} · {risk.title}：{risk.detail}")
+        if card.warning:
+            document.add_paragraph(f"风险提示：{card.warning}")
+    heading("八、标准判定结果")
+    if standards:
         add_table(
             [["判定维度", "判定标准", "标准来源", "当前状态"]]
             + [
                 [f"{item.category} · {item.risk_point}", item.rule, item.source or "标准文件.xlsx", item.status]
-                for item in result.standard_judgment
+                for item in standards
             ]
         )
     else:
         document.add_paragraph("暂无相关标准。")
     document.add_paragraph("双引擎融合：历史异常经验引擎提供风险优先级，标准库提供可执行的检测阈值与验证任务。")
 
-    cards = effective_report_cards(result)
-    if cards:
-        heading("八、追加卡片分析")
-        for index, card in enumerate(cards, 1):
-            document.add_paragraph(f"{index}. {card.title}")
-            add_table([["字段", "内容"]] + [[label, value] for label, value in report_card_lines(card)])
     output = BytesIO()
     document.save(output)
     return output.getvalue()