refactor(DeepAnalysisTab): 模块化拆分为 21 个 TypeScript 文件

将 1,796 行单文件拆分为原子设计模式结构：

**atoms/** - 原子组件
- DisclaimerBox: 免责声明警告框
- ScoreBar: 评分进度条
- BusinessTreeItem: 业务树形项
- KeyFactorCard: 关键因素卡片

**components/** - Card 容器组件
- CorePositioningCard: 核心定位
- CompetitiveAnalysisCard: 竞争地位分析（含雷达图）
- BusinessStructureCard: 业务结构
- ValueChainCard: 产业链分析
- KeyFactorsCard: 关键因素
- TimelineCard: 发展时间线
- BusinessSegmentsCard: 业务板块详情
- StrategyAnalysisCard: 战略分析

**organisms/** - 复杂组件
- ValueChainNodeCard: 产业链节点（含 RelatedCompaniesModal）
- TimelineComponent: 时间线（含 EventDetailModal）

**utils/**
- chartOptions.ts: ECharts 图表配置

优化效果：主文件从 1,796 行减少到 117 行（-93%）

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

src/views/Company/components/CompanyOverview/DeepAnalysisTab/utils/chartOptions.ts

@@ -0,0 +1,139 @@
+/**
+ * DeepAnalysisTab 图表配置工具
+ *
+ * 生成雷达图和桑基图的 ECharts 配置
+ */
+
+import type {
+  ComprehensiveData,
+  ValueChainData,
+  RadarChartOption,
+  SankeyChartOption,
+} from '../types';
+
+/**
+ * 生成竞争力雷达图配置
+ * @param comprehensiveData - 综合分析数据
+ * @returns ECharts 雷达图配置，或 null（数据不足时）
+ */
+export const getRadarChartOption = (
+  comprehensiveData?: ComprehensiveData
+): RadarChartOption | null => {
+  if (!comprehensiveData?.competitive_position?.scores) return null;
+
+  const scores = comprehensiveData.competitive_position.scores;
+  const indicators = [
+    { name: '市场地位', max: 100 },
+    { name: '技术实力', max: 100 },
+    { name: '品牌价值', max: 100 },
+    { name: '运营效率', max: 100 },
+    { name: '财务健康', max: 100 },
+    { name: '创新能力', max: 100 },
+    { name: '风险控制', max: 100 },
+    { name: '成长潜力', max: 100 },
+  ];
+
+  const data = [
+    scores.market_position || 0,
+    scores.technology || 0,
+    scores.brand || 0,
+    scores.operation || 0,
+    scores.finance || 0,
+    scores.innovation || 0,
+    scores.risk || 0,
+    scores.growth || 0,
+  ];
+
+  return {
+    tooltip: { trigger: 'item' },
+    radar: {
+      indicator: indicators,
+      shape: 'polygon',
+      splitNumber: 4,
+      name: { textStyle: { color: '#666', fontSize: 12 } },
+      splitLine: {
+        lineStyle: { color: ['#e8e8e8', '#e0e0e0', '#d0d0d0', '#c0c0c0'] },
+      },
+      splitArea: {
+        show: true,
+        areaStyle: {
+          color: ['rgba(250,250,250,0.3)', 'rgba(200,200,200,0.3)'],
+        },
+      },
+      axisLine: { lineStyle: { color: '#ddd' } },
+    },
+    series: [
+      {
+        name: '竞争力评分',
+        type: 'radar',
+        data: [
+          {
+            value: data,
+            name: '当前评分',
+            symbol: 'circle',
+            symbolSize: 5,
+            lineStyle: { width: 2, color: '#3182ce' },
+            areaStyle: { color: 'rgba(49, 130, 206, 0.3)' },
+            label: {
+              show: true,
+              formatter: (params: { value: number }) => params.value,
+              color: '#3182ce',
+              fontSize: 10,
+            },
+          },
+        ],
+      },
+    ],
+  };
+};
+
+/**
+ * 生成产业链桑基图配置
+ * @param valueChainData - 产业链数据
+ * @returns ECharts 桑基图配置，或 null（数据不足时）
+ */
+export const getSankeyChartOption = (
+  valueChainData?: ValueChainData
+): SankeyChartOption | null => {
+  if (
+    !valueChainData?.value_chain_flows ||
+    valueChainData.value_chain_flows.length === 0
+  ) {
+    return null;
+  }
+
+  const nodes = new Set<string>();
+  const links: Array<{
+    source: string;
+    target: string;
+    value: number;
+    lineStyle: { color: string; opacity: number };
+  }> = [];
+
+  valueChainData.value_chain_flows.forEach((flow) => {
+    if (!flow?.source?.node_name || !flow?.target?.node_name) return;
+    nodes.add(flow.source.node_name);
+    nodes.add(flow.target.node_name);
+    links.push({
+      source: flow.source.node_name,
+      target: flow.target.node_name,
+      value: parseFloat(flow.flow_metrics?.flow_ratio || '1') || 1,
+      lineStyle: { color: 'source', opacity: 0.6 },
+    });
+  });
+
+  return {
+    tooltip: { trigger: 'item', triggerOn: 'mousemove' },
+    series: [
+      {
+        type: 'sankey',
+        layout: 'none',
+        emphasis: { focus: 'adjacency' },
+        data: Array.from(nodes).map((name) => ({ name })),
+        links: links,
+        lineStyle: { color: 'gradient', curveness: 0.5 },
+        label: { color: '#333', fontSize: 10 },
+      },
+    ],
+  };
+};