feat: 新增分析报告查询接口及前端展示，优化报告生成逻辑和提示词，并移除旧测试文件。

朱焱飞
1 parent 58a795a0
Showing 8 changed files with 920 additions and 113 deletions
prompts/analysis_report.md
src/fw_pms_ai/agent/analysis_report_node.py
src/fw_pms_ai/agent/nodes.py
src/fw_pms_ai/api/routes/tasks.py
tests/test_analysis_report.py
ui/css/style.css
ui/js/api.js
ui/js/app.js
 # 智能补货建议分析报告
-你是一位资深汽车配件采购顾问。AI系统已经生成了详细的补货建议明细（包含每个配件的补货数量、理由等），现在需要你站在更宏观的视角，为采购决策者提供**整体性分析**。
+你是一位资深汽车配件采购顾问。AI系统已经基于全量数据生成了补货建议的**多维统计分布数据**，现在需要你站在更宏观的视角，为采购决策者提供**整体性分析**。
-> **核心定位**: 补货明细已回答了"补什么、补多少"的问题，本报告聚焦于"整体策略、风险预警、资金规划"等**决策层面**的洞察。
+> **核心定位**: 统计数据揭示了补货的宏观特征与分布情况，本报告聚焦于"整体策略、风险预警、资金规划"等**决策层面**的洞察。
 ---
@@ -16,7 +16,7 @@
 ---
-## 本期补货建议概览
+## 本期补货建议概览 (统计摘要)
 {suggestion_summary}
@@ -36,33 +36,33 @@
 请严格按以下4个模块输出 **JSON格式** 的整体分析报告。
-**注意**: 不要重复补货明细中已有的配件级别分析，聚焦于以下**宏观维度**。
+**注意**: 分析应基于提供的统计分布数据（如优先级、价格区间、周转频次等），按以下**宏观维度**展开。
 ### 模块1: 整体态势研判 (overall_assessment)
 从全局视角评估本次补货建议：
-1. **补货规模评估**: 本期补货总金额与历史同期相比是偏高、正常还是偏低？可能的原因是什么？
-2. **结构特征分析**: 补货建议在品类、价格区间、周转频次上呈现什么分布特征？是否存在明显的集中或失衡？
+1. **补货规模评估**: 结合涉及配件数和总金额，评估本期补货的力度和资金需求规模。
+2. **结构特征分析**: 基于价格区间和周转频次分布，分析补货建议的结构特征（如是否偏向高频低价件，或存在大量低频高价件）。
 3. **时机判断**: 当前是否处于补货的有利时机？需要考虑哪些时间因素（如节假日、促销季、供应商备货周期）？
 ### 模块2: 风险预警与应对 (risk_alerts)
 识别本次补货可能面临的风险并给出应对建议：
-1. **供应风险**: 是否有配件可能面临缺货、涨价、交期延长等供应端问题？
-2. **资金风险**: 本期补货是否会造成资金压力？是否存在呆滞风险较高的配件需要谨慎采购？
-3. **市场风险**: 是否有配件需求可能下滑（如车型停产、季节性波动）？
-4. **执行风险**: 补货建议中是否有需要人工复核的异常项？（如建议量远超历史、首次采购配件等）
+1. **供应风险**: 高频或高优先级配件的供应保障是否关键？
+2. **资金风险**: 大额补货配件（≥5000元）的占比是否过高？是否构成资金压力？
+3. **库存结构风险**: 低频配件的补货比例是否合理？是否存在积压风险？
+4. **执行重点**: 针对高优先级或大额补货的配件，建议采取什么复核策略？
 ### 模块3: 采购策略建议 (procurement_strategy)
 提供整体性的采购执行策略：
-1. **优先级排序原则**: 如果预算或精力有限，应按什么顺序安排采购？给出清晰的分级标准
-2. **批量采购机会**: 是否有可以合并下单以降低成本的机会？涉及哪些品类或供应商？
-3. **分批采购建议**: 哪些配件可以分批次补货？建议的节奏是什么？
-4. **供应商协调要点**: 是否需要提前与供应商确认交期、价格或备货？关键沟通事项有哪些？
+1. **优先级排序原则**: 结合优先级分布数据，给出资金分配和采购执行的先后顺序建议。
+2. **批量采购机会**: 对于低价高频的配件，是否建议采用批量采购策略以优化成本？
+3. **分批采购建议**: 对于大额或低频配件，是否建议分批次补货以控制风险？
+4. **供应商协调要点**: 针对本期补货的结构特征（如大额占比高或高频占比高），与供应商沟通的侧重点是什么？
 ### 模块4: 效果预期与建议 (expected_impact)
@@ -36,6 +36,126 @@ def _load_prompt(filename: str) -&gt; str:
         return f.read()
+def _calculate_suggestion_stats(part_results: list) -> dict:
+    """
+    基于完整数据计算补货建议统计
+    
+    统计维度：
+    1. 总体统计：总数量、总金额
+    2. 优先级分布：高/中/低优先级配件数及金额
+    3. 价格区间分布：低价/中价/高价配件分布
+    4. 周转频次分布：高频/中频/低频配件分布
+    5. 补货规模分布：大额/中额/小额补货配件分布
+    """
+    stats = {
+        # 总体统计
+        "total_parts_cnt": 0,
+        "total_suggest_cnt": 0,
+        "total_suggest_amount": Decimal("0"),
+        
+        # 优先级分布: 1=高, 2=中, 3=低
+        "priority_high_cnt": 0,
+        "priority_high_amount": Decimal("0"),
+        "priority_medium_cnt": 0,
+        "priority_medium_amount": Decimal("0"),
+        "priority_low_cnt": 0,
+        "priority_low_amount": Decimal("0"),
+        
+        # 价格区间分布 (成本价)
+        "price_low_cnt": 0,
+        "price_low_amount": Decimal("0"),
+        "price_medium_cnt": 0,
+        "price_medium_amount": Decimal("0"),
+        "price_high_cnt": 0,
+        "price_high_amount": Decimal("0"),
+        
+        # 周转频次分布 (月均销量)
+        "turnover_high_cnt": 0,
+        "turnover_high_amount": Decimal("0"),
+        "turnover_medium_cnt": 0,
+        "turnover_medium_amount": Decimal("0"),
+        "turnover_low_cnt": 0,
+        "turnover_low_amount": Decimal("0"),
+        
+        # 补货金额分布
+        "replenish_large_cnt": 0,
+        "replenish_large_amount": Decimal("0"),
+        "replenish_medium_cnt": 0,
+        "replenish_medium_amount": Decimal("0"),
+        "replenish_small_cnt": 0,
+        "replenish_small_amount": Decimal("0"),
+    }
+    
+    if not part_results:
+        return stats
+    
+    for pr in part_results:
+        # 兼容对象和字典两种形式
+        if hasattr(pr, "total_suggest_cnt"):
+            suggest_cnt = pr.total_suggest_cnt
+            suggest_amount = pr.total_suggest_amount
+            cost_price = pr.cost_price
+            avg_sales = pr.total_avg_sales_cnt
+            priority = pr.priority
+        else:
+            suggest_cnt = int(pr.get("total_suggest_cnt", 0))
+            suggest_amount = Decimal(str(pr.get("total_suggest_amount", 0)))
+            cost_price = Decimal(str(pr.get("cost_price", 0)))
+            avg_sales = Decimal(str(pr.get("total_avg_sales_cnt", 0)))
+            priority = int(pr.get("priority", 2))
+        
+        # 总体统计
+        stats["total_parts_cnt"] += 1
+        stats["total_suggest_cnt"] += suggest_cnt
+        stats["total_suggest_amount"] += suggest_amount
+        
+        # 优先级分布
+        if priority == 1:
+            stats["priority_high_cnt"] += 1
+            stats["priority_high_amount"] += suggest_amount
+        elif priority == 2:
+            stats["priority_medium_cnt"] += 1
+            stats["priority_medium_amount"] += suggest_amount
+        else:
+            stats["priority_low_cnt"] += 1
+            stats["priority_low_amount"] += suggest_amount
+        
+        # 价格区间分布: <50低价, 50-200中价, >200高价
+        if cost_price < 50:
+            stats["price_low_cnt"] += 1
+            stats["price_low_amount"] += suggest_amount
+        elif cost_price <= 200:
+            stats["price_medium_cnt"] += 1
+            stats["price_medium_amount"] += suggest_amount
+        else:
+            stats["price_high_cnt"] += 1
+            stats["price_high_amount"] += suggest_amount
+        
+        # 周转频次分布: 月均销量 >=5高频, 1-5中频, <1低频
+        if avg_sales >= 5:
+            stats["turnover_high_cnt"] += 1
+            stats["turnover_high_amount"] += suggest_amount
+        elif avg_sales >= 1:
+            stats["turnover_medium_cnt"] += 1
+            stats["turnover_medium_amount"] += suggest_amount
+        else:
+            stats["turnover_low_cnt"] += 1
+            stats["turnover_low_amount"] += suggest_amount
+        
+        # 补货金额分布: >=5000大额, 1000-5000中额, <1000小额
+        if suggest_amount >= 5000:
+            stats["replenish_large_cnt"] += 1
+            stats["replenish_large_amount"] += suggest_amount
+        elif suggest_amount >= 1000:
+            stats["replenish_medium_cnt"] += 1
+            stats["replenish_medium_amount"] += suggest_amount
+        else:
+            stats["replenish_small_cnt"] += 1
+            stats["replenish_small_amount"] += suggest_amount
+    
+    return stats
+
+
 def _calculate_risk_stats(part_ratios: list) -> dict:
     """计算风险统计数据"""
     stats = {
@@ -71,35 +191,90 @@ def _calculate_risk_stats(part_ratios: list) -&gt; dict:
     return stats
-def _build_suggestion_summary(part_results: list, allocated_details: list) -> str:
-    """构建补货建议汇总文本"""
-    if not part_results and not allocated_details:
+def _build_suggestion_summary(suggestion_stats: dict) -> str:
+    """
+    基于预计算的统计数据构建结构化补货建议摘要
+    
+    摘要包含：
+    - 补货总体规模
+    - 优先级分布
+    - 价格区间分布
+    - 周转频次分布
+    - 补货金额分布
+    """
+    if suggestion_stats["total_parts_cnt"] == 0:
         return "暂无补货建议"
     lines = []
-    total_cnt = 0
-    total_amount = Decimal("0")
-    
-    # 优先使用 part_results (配件级汇总)
-    if part_results:
-        for pr in part_results[:10]:  # 只取前10个
-            if hasattr(pr, "part_code"):
-                lines.append(
-                    f"- {pr.part_code} {pr.part_name}: "
-                    f"建议{pr.total_suggest_cnt}件, "
-                    f"金额{pr.total_suggest_amount:.2f}元, "
-                    f"优先级{pr.priority}"
-                )
-                total_cnt += pr.total_suggest_cnt
-                total_amount += pr.total_suggest_amount
-            elif isinstance(pr, dict):
-                lines.append(
-                    f"- {pr.get('part_code', '')} {pr.get('part_name', '')}: "
-                    f"建议{pr.get('total_suggest_cnt', 0)}件, "
-                    f"金额{pr.get('total_suggest_amount', 0):.2f}元"
-                )
-    
-    lines.insert(0, f"**总计**: {total_cnt}件配件, 金额{total_amount:.2f}元\n")
+    
+    # 总体规模
+    lines.append(f"### 补货总体规模")
+    lines.append(f"- 涉及配件种类: {suggestion_stats['total_parts_cnt']}种")
+    lines.append(f"- 建议补货总数量: {suggestion_stats['total_suggest_cnt']}件")
+    lines.append(f"- 建议补货总金额: {suggestion_stats['total_suggest_amount']:.2f}元")
+    lines.append("")
+    
+    # 优先级分布
+    lines.append(f"### 优先级分布")
+    lines.append(f"| 优先级 | 配件数 | 金额(元) | 占比 |")
+    lines.append(f"|--------|--------|----------|------|")
+    total_amount = suggestion_stats['total_suggest_amount'] or Decimal("1")
+    
+    if suggestion_stats['priority_high_cnt'] > 0:
+        pct = suggestion_stats['priority_high_amount'] / total_amount * 100
+        lines.append(f"| 高优先级 | {suggestion_stats['priority_high_cnt']} | {suggestion_stats['priority_high_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['priority_medium_cnt'] > 0:
+        pct = suggestion_stats['priority_medium_amount'] / total_amount * 100
+        lines.append(f"| 中优先级 | {suggestion_stats['priority_medium_cnt']} | {suggestion_stats['priority_medium_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['priority_low_cnt'] > 0:
+        pct = suggestion_stats['priority_low_amount'] / total_amount * 100
+        lines.append(f"| 低优先级 | {suggestion_stats['priority_low_cnt']} | {suggestion_stats['priority_low_amount']:.2f} | {pct:.1f}% |")
+    lines.append("")
+    
+    # 价格区间分布
+    lines.append(f"### 价格区间分布 (按成本价)")
+    lines.append(f"| 价格区间 | 配件数 | 金额(元) | 占比 |")
+    lines.append(f"|----------|--------|----------|------|")
+    if suggestion_stats['price_low_cnt'] > 0:
+        pct = suggestion_stats['price_low_amount'] / total_amount * 100
+        lines.append(f"| 低价(<50元) | {suggestion_stats['price_low_cnt']} | {suggestion_stats['price_low_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['price_medium_cnt'] > 0:
+        pct = suggestion_stats['price_medium_amount'] / total_amount * 100
+        lines.append(f"| 中价(50-200元) | {suggestion_stats['price_medium_cnt']} | {suggestion_stats['price_medium_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['price_high_cnt'] > 0:
+        pct = suggestion_stats['price_high_amount'] / total_amount * 100
+        lines.append(f"| 高价(>200元) | {suggestion_stats['price_high_cnt']} | {suggestion_stats['price_high_amount']:.2f} | {pct:.1f}% |")
+    lines.append("")
+    
+    # 周转频次分布
+    lines.append(f"### 周转频次分布 (按月均销量)")
+    lines.append(f"| 周转频次 | 配件数 | 金额(元) | 占比 |")
+    lines.append(f"|----------|--------|----------|------|")
+    if suggestion_stats['turnover_high_cnt'] > 0:
+        pct = suggestion_stats['turnover_high_amount'] / total_amount * 100
+        lines.append(f"| 高频(≥5件/月) | {suggestion_stats['turnover_high_cnt']} | {suggestion_stats['turnover_high_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['turnover_medium_cnt'] > 0:
+        pct = suggestion_stats['turnover_medium_amount'] / total_amount * 100
+        lines.append(f"| 中频(1-5件/月) | {suggestion_stats['turnover_medium_cnt']} | {suggestion_stats['turnover_medium_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['turnover_low_cnt'] > 0:
+        pct = suggestion_stats['turnover_low_amount'] / total_amount * 100
+        lines.append(f"| 低频(<1件/月) | {suggestion_stats['turnover_low_cnt']} | {suggestion_stats['turnover_low_amount']:.2f} | {pct:.1f}% |")
+    lines.append("")
+    
+    # 补货金额分布
+    lines.append(f"### 单配件补货金额分布")
+    lines.append(f"| 补货规模 | 配件数 | 金额(元) | 占比 |")
+    lines.append(f"|----------|--------|----------|------|")
+    if suggestion_stats['replenish_large_cnt'] > 0:
+        pct = suggestion_stats['replenish_large_amount'] / total_amount * 100
+        lines.append(f"| 大额(≥5000元) | {suggestion_stats['replenish_large_cnt']} | {suggestion_stats['replenish_large_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['replenish_medium_cnt'] > 0:
+        pct = suggestion_stats['replenish_medium_amount'] / total_amount * 100
+        lines.append(f"| 中额(1000-5000元) | {suggestion_stats['replenish_medium_cnt']} | {suggestion_stats['replenish_medium_amount']:.2f} | {pct:.1f}% |")
+    if suggestion_stats['replenish_small_cnt'] > 0:
+        pct = suggestion_stats['replenish_small_amount'] / total_amount * 100
+        lines.append(f"| 小额(<1000元) | {suggestion_stats['replenish_small_cnt']} | {suggestion_stats['replenish_small_amount']:.2f} | {pct:.1f}% |")
+    
     return "\n".join(lines)
@@ -129,8 +304,11 @@ def generate_analysis_report_node(state: dict) -&gt; dict:
         # 计算风险统计
         risk_stats = _calculate_risk_stats(part_ratios)
-        # 构建建议汇总
-        suggestion_summary = _build_suggestion_summary(part_results, allocated_details)
+        # 计算补货建议统计 (基于完整数据)
+        suggestion_stats = _calculate_suggestion_stats(part_results)
+        
+        # 构建结构化建议汇总
+        suggestion_summary = _build_suggestion_summary(suggestion_stats)
         # 加载 Prompt
         prompt_template = _load_prompt("analysis_report.md")
@@ -164,15 +342,9 @@ def generate_analysis_report_node(state: dict) -&gt; dict:
         report_data = json.loads(response_text)
-        # 计算统计信息
-        total_suggest_cnt = sum(
-            d.suggest_cnt if hasattr(d, "suggest_cnt") else d.get("suggest_cnt", 0)
-            for d in allocated_details
-        )
-        total_suggest_amount = sum(
-            d.suggest_amount if hasattr(d, "suggest_amount") else Decimal(str(d.get("suggest_amount", 0)))
-            for d in allocated_details
-        )
+        # 复用已计算的统计数据
+        total_suggest_cnt = suggestion_stats["total_suggest_cnt"]
+        total_suggest_amount = suggestion_stats["total_suggest_amount"]
         execution_time_ms = int((time.time() - start_time) * 1000)
@@ -175,7 +175,7 @@ def sql_agent_node(state: AgentState) -&gt; AgentState:
             dealer_grouping_name=state["dealer_grouping_name"],
             statistics_date=state["statistics_date"],
             target_ratio=base_ratio if base_ratio > 0 else Decimal("1.3"),
-            limit=1,
+            limit=1000,
             callback=save_batch_callback,
         )
@@ -3,7 +3,8 @@
 """
 import logging
-from typing import Optional, List
+from typing import Optional, List, Dict, Any
+import json
 from datetime import datetime
 from decimal import Decimal
@@ -609,3 +610,102 @@ async def get_part_shop_details(
     finally:
         cursor.close()
         conn.close()
+
+
+class AnalysisReportResponse(BaseModel):
+    """分析报告响应"""
+    id: int
+    task_no: str
+    group_id: int
+    dealer_grouping_id: int
+    dealer_grouping_name: Optional[str] = None
+    brand_grouping_id: Optional[int] = None
+    report_type: str
+    
+    # JSON 字段，使用 Any 或 Dict 来接收解析后的对象
+    replenishment_insights: Optional[Dict[str, Any]] = None
+    urgency_assessment: Optional[Dict[str, Any]] = None
+    strategy_recommendations: Optional[Dict[str, Any]] = None
+    execution_guide: Optional[Dict[str, Any]] = None
+    expected_outcomes: Optional[Dict[str, Any]] = None
+    
+    total_suggest_cnt: int = 0
+    total_suggest_amount: float = 0
+    shortage_risk_cnt: int = 0
+    excess_risk_cnt: int = 0
+    stagnant_cnt: int = 0
+    low_freq_cnt: int = 0
+    
+    llm_provider: Optional[str] = None
+    llm_model: Optional[str] = None
+    llm_tokens: int = 0
+    execution_time_ms: int = 0
+    statistics_date: Optional[str] = None
+    create_time: Optional[str] = None
+
+
+@router.get("/tasks/{task_no}/analysis-report", response_model=Optional[AnalysisReportResponse])
+async def get_analysis_report(task_no: str):
+    """获取任务的分析报告"""
+    conn = get_connection()
+    cursor = conn.cursor(dictionary=True)
+    
+    try:
+        cursor.execute(
+            """
+            SELECT * FROM ai_analysis_report 
+            WHERE task_no = %s
+            ORDER BY create_time DESC
+            LIMIT 1
+            """,
+            (task_no,)
+        )
+        row = cursor.fetchone()
+        
+        if not row:
+            return None
+            
+        # 辅助函数：解析 JSON 字符串
+        def parse_json(value):
+            if not value:
+                return None
+            if isinstance(value, str):
+                try:
+                    return json.loads(value)
+                except json.JSONDecodeError:
+                    return None
+            return value
+
+        return AnalysisReportResponse(
+            id=row["id"],
+            task_no=row["task_no"],
+            group_id=row["group_id"],
+            dealer_grouping_id=row["dealer_grouping_id"],
+            dealer_grouping_name=row.get("dealer_grouping_name"),
+            brand_grouping_id=row.get("brand_grouping_id"),
+            report_type=row.get("report_type", "replenishment"),
+            
+            replenishment_insights=parse_json(row.get("replenishment_insights")),
+            urgency_assessment=parse_json(row.get("urgency_assessment")),
+            strategy_recommendations=parse_json(row.get("strategy_recommendations")),
+            execution_guide=parse_json(row.get("execution_guide")),
+            expected_outcomes=parse_json(row.get("expected_outcomes")),
+            
+            total_suggest_cnt=row.get("total_suggest_cnt") or 0,
+            total_suggest_amount=float(row.get("total_suggest_amount") or 0),
+            shortage_risk_cnt=row.get("shortage_risk_cnt") or 0,
+            excess_risk_cnt=row.get("excess_risk_cnt") or 0,
+            stagnant_cnt=row.get("stagnant_cnt") or 0,
+            low_freq_cnt=row.get("low_freq_cnt") or 0,
+            
+            llm_provider=row.get("llm_provider"),
+            llm_model=row.get("llm_model"),
+            llm_tokens=row.get("llm_tokens") or 0,
+            execution_time_ms=row.get("execution_time_ms") or 0,
+            statistics_date=row.get("statistics_date"),
+            create_time=format_datetime(row.get("create_time")),
+        )
+    
+    finally:
+        cursor.close()
+        conn.close()
-"""
-测试分析报告生成功能
-"""
-import sys
-sys.path.insert(0, "src")
-
-from fw_pms_ai.agent.analysis_report_node import generate_analysis_report_node
-
-def test_generate_analysis_report():
-    """测试为 AI-FB34CA0EE6C4 生成分析报告"""
-    
-    # 模拟数据
-    part_ratios = [
-        {"part_code": "C211F280503-1800-AA", "part_name": "牌照灯总成", 
-         "valid_storage_cnt": 0, "avg_sales_cnt": 2, "out_stock_cnt": 5, "cost_price": 14},
-        {"part_code": "TEST-001", "part_name": "测试配件1", 
-         "valid_storage_cnt": 10, "avg_sales_cnt": 0, "out_stock_cnt": 0, "cost_price": 100},
-        {"part_code": "TEST-002", "part_name": "测试配件2", 
-         "valid_storage_cnt": 0, "avg_sales_cnt": 0.5, "out_stock_cnt": 0, "cost_price": 50},
-    ]
-    
-    part_results = [
-        {"part_code": "C211F280503-1800-AA", "part_name": "牌照灯总成", 
-         "total_suggest_cnt": 4, "total_suggest_amount": 56.0, "priority": 1},
-    ]
-    
-    allocated_details = [
-        {"part_code": "C211F280503-1800-AA", "suggest_cnt": 4, "suggest_amount": 56.0},
-    ]
-    
-    # 构建 state
-    state = {
-        "task_no": "AI-FB34CA0EE6C4",
-        "group_id": 2,
-        "dealer_grouping_id": 48,
-        "dealer_grouping_name": "测试分组",
-        "brand_grouping_id": None,
-        "statistics_date": "2026-02-05",
-        "part_ratios": part_ratios,
-        "part_results": part_results,
-        "allocated_details": allocated_details,
-    }
-    
-    print("开始生成分析报告...")
-    result = generate_analysis_report_node(state)
-    
-    if "error" in result.get("analysis_report", {}):
-        print(f"\n❌ 生成失败: {result['analysis_report']['error']}")
-        return False
-    else:
-        print(f"\n✅ 分析报告生成成功!")
-        report = result.get("analysis_report", {})
-        print(f"  - replenishment_insights: {str(report.get('replenishment_insights', ''))[:100]}...")
-        print(f"  - urgency_assessment: {str(report.get('urgency_assessment', ''))[:100]}...")
-        return True
-
-if __name__ == "__main__":
-    test_generate_analysis_report()
@@ -797,12 +797,321 @@ tbody tr:last-child td {
     color: white;
 }
+
 .pagination-btn svg {
     width: 18px;
     height: 18px;
 }
 /* =====================
+   Analysis Report (Independent Layouts)
+   ===================== */
+.report-container {
+    display: flex;
+    flex-direction: column;
+    gap: var(--spacing-2xl);
+    animation: fadeIn 0.6s cubic-bezier(0.22, 1, 0.36, 1);
+    padding: var(--spacing-md) 0;
+}
+
+@keyframes fadeIn {
+    from { opacity: 0; transform: translateY(20px); }
+    to { opacity: 1; transform: translateY(0); }
+}
+
+.report-module {
+    margin-bottom: var(--spacing-2xl);
+    position: relative;
+}
+
+.report-section-title {
+    font-size: 1.5rem;
+    font-weight: 800;
+    margin-bottom: var(--spacing-xl);
+    display: flex;
+    align-items: center;
+    gap: var(--spacing-md);
+    color: var(--text-primary);
+    position: relative;
+    padding-left: var(--spacing-xs);
+    letter-spacing: -0.02em;
+}
+
+.report-section-title svg {
+    width: 28px;
+    height: 28px;
+    color: var(--color-primary);
+    filter: drop-shadow(0 0 8px rgba(99, 102, 241, 0.5));
+}
+
+/* --- Module 1: Overall Assessment (Hero Grid) --- */
+.assessment-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: var(--spacing-xl);
+    background: linear-gradient(180deg, rgba(30, 41, 59, 0.4) 0%, rgba(15, 23, 42, 0) 100%);
+    border-radius: var(--radius-xl);
+    padding: var(--spacing-xl);
+    border: 1px solid rgba(255, 255, 255, 0.05);
+}
+
+.assessment-item {
+    display: flex;
+    flex-direction: column;
+    gap: var(--spacing-sm);
+    padding-right: var(--spacing-lg);
+    border-right: 1px solid rgba(255, 255, 255, 0.05);
+}
+
+/* Remove border-right for the last item in a row would be complex with auto-fit, 
+   so we might need a media query or accept borders on the right. 
+   For simplicity and cleaner look on mobile, we can remove border-right for all 
+   and add bottom border for mobile, or just rely on spacing. 
+   Let's keep it simple: Remove border-right and use background/spacing to separate.
+*/
+.assessment-item {
+    border-right: none;
+    padding-right: 0;
+    position: relative;
+}
+
+.assessment-item:not(:last-child)::after {
+    content: '';
+    position: absolute;
+    right: -12px;
+    top: 10%;
+    height: 80%;
+    width: 1px;
+    background: rgba(255, 255, 255, 0.05);
+    display: none; /* Hidden by default for responsive */
+}
+
+@media (min-width: 1024px) {
+    .assessment-item:not(:last-child)::after {
+        display: block;
+    }
+}
+
+.assessment-label {
+    font-size: 0.85rem;
+    text-transform: uppercase;
+    letter-spacing: 0.1em;
+    color: var(--text-secondary);
+    font-weight: 600;
+    margin-bottom: var(--spacing-xs);
+}
+
+.assessment-main {
+    font-size: 1.25rem;
+    color: var(--text-primary);
+    line-height: 1.6;
+    font-weight: 600;
+}
+
+.assessment-sub {
+    font-size: 0.9rem;
+    color: var(--text-secondary);
+    margin-top: auto;
+    padding-top: var(--spacing-md);
+    line-height: 1.5;
+}
+
+/* --- Module 2: Risk Alerts (Alert Feed) --- */
+.risk-feed {
+    display: flex;
+    flex-direction: column;
+    gap: var(--spacing-md);
+}
+
+.risk-item {
+    display: flex;
+    gap: var(--spacing-lg);
+    padding: var(--spacing-lg);
+    background: rgba(30, 41, 59, 0.3);
+    border-radius: var(--radius-lg);
+    border: 1px solid transparent; 
+    border-left: 4px solid transparent;
+    transition: all 0.3s ease;
+}
+
+.risk-item:hover {
+    background: rgba(30, 41, 59, 0.5);
+    transform: translateX(4px);
+    border-color: rgba(255, 255, 255, 0.05);
+}
+
+.risk-item.high { border-left-color: var(--color-danger); }
+.risk-item.medium { border-left-color: var(--color-warning); }
+.risk-item.low { border-left-color: var(--color-info); }
+
+.risk-icon {
+    flex-shrink: 0;
+    width: 40px;
+    height: 40px;
+    border-radius: 50%;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: rgba(255, 255, 255, 0.03);
+}
+
+.risk-item.high .risk-icon { color: var(--color-danger); background: rgba(239, 68, 68, 0.1); }
+.risk-item.medium .risk-icon { color: var(--color-warning); background: rgba(245, 158, 11, 0.1); }
+
+.risk-content {
+    flex: 1;
+}
+
+.risk-title {
+    font-size: 1.05rem;
+    font-weight: 600;
+    color: var(--text-primary);
+    margin-bottom: 4px;
+    display: flex;
+    align-items: center;
+    gap: var(--spacing-sm);
+}
+
+.risk-desc {
+    color: var(--text-secondary);
+    font-size: 0.95rem;
+    margin-bottom: var(--spacing-sm);
+}
+
+.risk-action {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    font-size: 0.85rem;
+    color: var(--text-primary);
+    background: rgba(255, 255, 255, 0.05);
+    padding: 4px 10px;
+    border-radius: 4px;
+}
+
+/* --- Module 3: Strategy (Stepped Guide) --- */
+.strategy-steps {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
+    gap: var(--spacing-lg);
+}
+
+.strategy-step {
+    position: relative;
+    padding: var(--spacing-lg);
+    background: linear-gradient(145deg, rgba(255,255,255,0.03) 0%, rgba(255,255,255,0.01) 100%);
+    border: 1px solid rgba(255,255,255,0.05);
+    border-radius: var(--radius-lg);
+}
+
+.strategy-number {
+    font-family: var(--font-mono);
+    font-size: 2.5rem;
+    font-weight: 700;
+    color: rgba(255, 255, 255, 0.05);
+    position: absolute;
+    top: var(--spacing-sm);
+    right: var(--spacing-lg);
+    line-height: 1;
+}
+
+.strategy-title {
+    font-size: 1.1rem;
+    font-weight: 600;
+    color: var(--color-primary-light);
+    margin-bottom: var(--spacing-md);
+    position: relative;
+}
+
+.strategy-list {
+    list-style: none;
+}
+
+.strategy-list li {
+    position: relative;
+    padding-left: 20px;
+    margin-bottom: 8px;
+    color: var(--text-secondary);
+    font-size: 0.95rem;
+}
+
+.strategy-list li::before {
+    content: '→';
+    position: absolute;
+    left: 0;
+    color: var(--color-primary);
+    opacity: 0.7;
+}
+
+/* --- Module 4: Impact (KPI Metrics) --- */
+.impact-panel {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
+    gap: var(--spacing-xl);
+    background: radial-gradient(circle at center, rgba(16, 185, 129, 0.03) 0%, transparent 70%);
+    border-top: 1px solid rgba(16, 185, 129, 0.1);
+    border-bottom: 1px solid rgba(16, 185, 129, 0.1);
+    padding: var(--spacing-2xl) 0;
+}
+
+.kpi-item {
+    text-align: center;
+    position: relative;
+}
+
+.kpi-item:not(:last-child)::after {
+    content: '';
+    position: absolute;
+    right: 0;
+    top: 20%;
+    height: 60%;
+    width: 1px;
+    background: rgba(255, 255, 255, 0.05);
+}
+
+.kpi-value {
+    font-size: 2.5rem;
+    font-weight: 800;
+    background: linear-gradient(135deg, var(--text-primary) 0%, var(--text-secondary) 100%);
+    -webkit-background-clip: text;
+    background-clip: text;
+    -webkit-text-fill-color: transparent;
+    margin-bottom: var(--spacing-xs);
+    letter-spacing: -0.05em;
+    text-shadow: 0 2px 10px rgba(0,0,0,0.1);
+}
+
+.kpi-label {
+    font-size: 0.9rem;
+    color: var(--color-success-light);
+    font-weight: 600;
+    text-transform: uppercase;
+    letter-spacing: 0.05em;
+    margin-bottom: var(--spacing-sm);
+}
+
+.kpi-desc {
+    font-size: 0.9rem;
+    color: var(--text-muted);
+    max-width: 80%;
+    margin: 0 auto;
+    line-height: 1.5;
+}
+.markdown-content p {
+    margin-bottom: 0.5rem;
+}
+
+.markdown-content ul {
+    margin-left: 1.25rem;
+    margin-bottom: 0.5rem;
+}
+
+.markdown-content li {
+    margin-bottom: 0.25rem;
+}
+
+
+/* =====================
    Loading & Overlay
    ===================== */
 .loading-overlay {
@@ -90,6 +90,13 @@ const API = {
     async getPartShopDetails(taskNo, partCode) {
         return this.get(`/tasks/${taskNo}/parts/${encodeURIComponent(partCode)}/shops`);
     },
+
+    /**
+     * 获取任务分析报告
+     */
+    async getAnalysisReport(taskNo) {
+        return this.get(`/tasks/${taskNo}/analysis-report`);
+    },
 };
 // 导出到全局
@@ -96,6 +96,277 @@ const App = {
         this.loadPartSummaries();
     },
+
+    /**
+     * 渲染分析报告标签页
+     */
+    async renderReportTab(container, taskNo) {
+        container.innerHTML = '<div class="loading-shops">加载分析报告...</div>';
+        
+        try {
+            const report = await API.getAnalysisReport(taskNo);
+            
+            if (!report) {
+                container.innerHTML = `
+                    <div class="card">
+                        ${Components.renderEmptyState('file-x', '暂无分析报告', '该任务尚未生成分析报告')}
+                    </div>
+                `;
+                return;
+            }
+
+            container.innerHTML = `
+                <div class="report-module">
+                    <div class="report-section-title">
+                        <i data-lucide="layout-dashboard"></i>
+                        核心经营综述
+                    </div>
+                    <div class="report-grid">
+                        ${this.renderOverallAssessment(report.replenishment_insights)}
+                    </div>
+                </div>
+
+                <div class="report-module">
+                    <div class="report-section-title">
+                        <i data-lucide="alert-triangle"></i>
+                        风险管控预警
+                    </div>
+                    <div class="report-grid">
+                        ${this.renderRiskAlerts(report.urgency_assessment)}
+                    </div>
+                </div>
+
+                <div class="report-module">
+                    <div class="report-section-title">
+                        <i data-lucide="target"></i>
+                        补货策略建议
+                    </div>
+                    <div class="report-grid">
+                        ${this.renderStrategy(report.strategy_recommendations)}
+                    </div>
+                </div>
+
+                <div class="report-module">
+                    <div class="report-section-title">
+                        <i data-lucide="trending-up"></i>
+                        效果预期与建议
+                    </div>
+                    <div class="report-grid">
+                        ${this.renderExpectedImpact(report.expected_outcomes)}
+                    </div>
+                </div>
+            `;
+            
+            lucide.createIcons();
+        } catch (error) {
+            container.innerHTML = `
+                <div class="card" style="text-align: center; color: var(--color-danger);">
+                    <i data-lucide="alert-circle" style="width: 48px; height: 48px; margin-bottom: 1rem;"></i>
+                    <p>加载报告失败: ${error.message}</p>
+                </div>
+            `;
+            lucide.createIcons();
+        }
+    },
+
+    renderOverallAssessment(insights) {
+        if (!insights) return '';
+        
+        let heroHtml = '';
+        
+        // Scale (Hero Main)
+        if (insights.scale_evaluation) {
+            heroHtml += `
+            <div class="assessment-item">
+                <div class="assessment-label">补货规模</div>
+                <div class="assessment-main">${insights.scale_evaluation.current_vs_historical || '-'}</div>
+                <div class="assessment-sub">${insights.scale_evaluation.possible_reasons || ''}</div>
+            </div>`;
+        }
+        
+        // Structure (Hero Middle)
+        if (insights.structure_analysis) {
+            const data = insights.structure_analysis;
+            const details = [
+                data.category_distribution ? `• ${data.category_distribution}` : '',
+                data.price_range_distribution ? `• ${data.price_range_distribution}` : '',
+                data.turnover_distribution ? `• ${data.turnover_distribution}` : ''
+            ].filter(Boolean).join('<br>');
+
+            heroHtml += `
+            <div class="assessment-item">
+                <div class="assessment-label">结构特征</div>
+                <div class="assessment-main">${data.imbalance_warning || '结构均衡'}</div>
+                <div class="assessment-sub">${details}</div>
+            </div>`;
+        }
+        
+        // Timing (Hero End)
+        if (insights.timing_judgment) {
+            const data = insights.timing_judgment;
+            const isPos = data.is_favorable;
+            heroHtml += `
+            <div class="assessment-item">
+                <div class="assessment-label">时机判断</div>
+                <div class="assessment-main" style="color:${isPos ? 'var(--color-success)' : 'var(--color-warning)'}">
+                    ${isPos ? '有利时机' : '建议观望'}
+                </div>
+                <div class="assessment-sub">
+                    ${data.recommendation}<br>
+                    <span style="opacity:0.7;font-size:0.85em;display:block;margin-top:4px;">${data.timing_factors || ''}</span>
+                </div>
+            </div>`;
+        }
+        
+        return `<div class="assessment-grid">${heroHtml}</div>`;
+    },
+
+    renderRiskAlerts(risks) {
+        if (!risks) return '';
+        
+        let feedHtml = '<div class="risk-feed">';
+        
+        const addRiskItem = (level, type, desc, action) => {
+            let icon = 'alert-circle';
+            if (level === 'high') icon = 'alert-octagon';
+            if (level === 'low') icon = 'info';
+            
+            feedHtml += `
+            <div class="risk-item ${level}">
+                <div class="risk-icon">
+                    <i data-lucide="${icon}"></i>
+                </div>
+                <div class="risk-content">
+                    <div class="risk-title">
+                        ${type}
+                        <span class="badgex">${level.toUpperCase()}</span>
+                    </div>
+                    <div class="risk-desc">${desc}</div>
+                    ${action ? `<div class="risk-action"><i data-lucide="arrow-right-circle" style="width:14px;"></i> ${action}</div>` : ''}
+                </div>
+            </div>`;
+        };
+        
+        // Supply Risks
+        if (risks.supply_risks && Array.isArray(risks.supply_risks)) {
+            risks.supply_risks.forEach(r => addRiskItem(
+                r.likelihood === '高' ? 'high' : 'medium',
+                r.risk_type || '供应风险',
+                r.affected_scope,
+                r.mitigation
+            ));
+        }
+        
+        // Capital Risks
+        if (risks.capital_risks) {
+            const data = risks.capital_risks;
+            addRiskItem('medium', '资金风险', data.cash_flow_pressure, data.recommendation);
+        }
+
+        // Market Risks
+        if (risks.market_risks && Array.isArray(risks.market_risks)) {
+            risks.market_risks.forEach(r => addRiskItem('medium', '市场风险', r.risk_description, r.recommendation));
+        }
+        
+        // Execution
+        if (risks.execution_anomalies && Array.isArray(risks.execution_anomalies)) {
+             risks.execution_anomalies.forEach(a => addRiskItem('high', a.anomaly_type || '执行异常', a.description, a.review_suggestion));
+        }
+        
+        feedHtml += '</div>';
+        return feedHtml;
+    },
+
+    renderStrategy(strategy) {
+        if (!strategy) return '';
+        
+        let html = '<div class="strategy-steps">';
+        
+        const addStep = (num, title, items) => {
+            const listItems = Array.isArray(items) ? items : [items];
+            const listHtml = listItems.map(i => `<li>${i}</li>`).join('');
+            html += `
+            <div class="strategy-step">
+                <div class="strategy-number">0${num}</div>
+                <div class="strategy-title">${title}</div>
+                <ul class="strategy-list">${listHtml}</ul>
+            </div>`;
+        };
+        
+        // 1. Priority
+        if (strategy.priority_principle) {
+            const p = strategy.priority_principle;
+            addStep(1, '优先级排序', [
+                `<strong style="color:var(--color-danger)">P1:</strong> ${p.tier1_criteria}`,
+                `<strong style="color:var(--color-warning)">P2:</strong> ${p.tier2_criteria}`,
+                `<span style="opacity:0.7">P3: ${p.tier3_criteria}</span>`
+            ]);
+        }
+        
+        // 2. Phased
+        if (strategy.phased_procurement) {
+            addStep(2, '分批节奏', [
+                `节奏: ${strategy.phased_procurement.suggested_rhythm}`,
+                `范围: ${strategy.phased_procurement.recommended_parts}`
+            ]);
+        }
+
+        // 3. Coordination
+        if (strategy.supplier_coordination) {
+            addStep(3, '供应商协同', [
+                strategy.supplier_coordination.key_communications,
+                `时机: ${strategy.supplier_coordination.timing_suggestions}`
+            ]);
+        }
+        
+        html += '</div>';
+        return html;
+    },
+
+    renderExpectedImpact(impact) {
+        if (!impact) return '';
+        
+        let html = '<div class="impact-panel">';
+        
+        // Inventory
+        if (impact.inventory_health) {
+            html += `
+            <div class="kpi-item">
+                <div class="kpi-label">库存健康度</div>
+                <div class="kpi-value">${Components.formatAmount(impact.inventory_health.shortage_reduction || 0)}</div>
+                <div class="kpi-desc">${impact.inventory_health.structure_improvement}</div>
+            </div>`;
+        }
+        
+        // Efficiency
+        if (impact.capital_efficiency) {
+            html += `
+            <div class="kpi-item">
+                <div class="kpi-label">资金效率</div>
+                <div class="kpi-value">${Components.formatAmount(impact.capital_efficiency.investment_amount)}</div>
+                <div class="kpi-desc">${impact.capital_efficiency.expected_return}</div>
+            </div>`;
+        }
+
+        // Next
+        if (impact.follow_up_actions) {
+            html += `
+            <div class="kpi-item">
+                <div class="kpi-label">下一步关注</div>
+                <div class="kpi-value" style="font-size:1.5rem;background:none;-webkit-text-fill-color:var(--text-primary);">Key Actions</div>
+                <div class="kpi-desc" style="text-align:left;display:inline-block;">${impact.follow_up_actions.next_steps}</div>
+            </div>`;
+        }
+        
+        html += '</div>';
+        return html;
+    },
+
+    // 辅助方法：renderReportCard, renderRiskCard, renderImpactCard 已被新的独立渲染逻辑取代，保留为空或删除
+    renderReportCard(title, data) { return ''; },
+    renderRiskCard(title, data, level) { return ''; },
+    renderImpactCard(title, data) { return ''; },
+
     /**
      * 初始化应用
      */
@@ -493,7 +764,10 @@ const App = {
                     <i data-lucide="list"></i>
                     配件明细
                 </button>
-
+                <button class="tab" data-tab="report">
+                    <i data-lucide="file-text"></i>
+                    分析报告
+                </button>
                 <button class="tab" data-tab="logs">
                     <i data-lucide="activity"></i>
                     执行日志
@@ -505,7 +779,7 @@ const App = {
             </div>
             <!-- 标签页内容 -->
-            <div id="tab-content"></div>
+            <div id="tab-content" class="report-container"></div>
         `;
         // 绑定标签页事件
@@ -536,6 +810,9 @@ const App = {
             case 'logs':
                 this.renderLogsTab(container, this._currentLogs);
                 break;
+            case 'report':
+                this.renderReportTab(container, task.task_no);
+                break;
             case 'info':
                 this.renderInfoTab(container, task);
                 break;