feat: make audience export fields selective

tests/csv-exporter.test.ts

@@ -117,6 +117,31 @@ describe("csv-exporter", () => {
     );
   });
 
+  test("omits unselected columns from the standard CSV after field settings are saved", () => {
+    const csv = buildMarketCsv(
+      [
+        {
+          authorId: "123",
+          authorName: "Alice",
+          exportFields: {
+            达人信息: "Alice",
+            粉丝数: "100w",
+            预期CPM: "120"
+          },
+          status: "success"
+        } satisfies MarketRecord
+      ],
+      {
+        selectedHeaders: ["粉丝数"]
+      }
+    );
+
+    const [headerLine, rowLine] = csv.split("\n");
+
+    expect(headerLine).toBe("达人ID,达人名称,导出状态,失败原因,粉丝数");
+    expect(rowLine).toBe("123,Alice,成功,,100w");
+  });
+
   test("escapes commas and quotes", () => {
     const csv = buildMarketCsv([
       {

tests/spread-info.test.ts

@@ -6,9 +6,11 @@ import {
   buildSpreadInfoUrl,
   createSpreadInfoClient,
   DEFAULT_SPREAD_INFO_CONFIGS,
+  filterUnloadedSpreadInfoConfigs,
   matchesSpreadMetricRule,
   normalizeSpreadInfoConfig,
-  mapSpreadInfoResponse
+  mapSpreadInfoResponse,
+  selectSpreadInfoConfigsForHeaders
 } from "../src/content/market/spread-info";
 
 describe("spread-info", () => {
@@ -90,6 +92,49 @@ describe("spread-info", () => {
     ]);
   });
 
+  test("selects only unique request configs required by chosen columns", () => {
+    expect(
+      selectSpreadInfoConfigsForHeaders([
+        "内容数据-个人视频-近30天-完播率",
+        "内容数据-个人视频-近30天-作品平均评论数",
+        "内容数据-只看指派-排除营销流量-星图视频-近90天-互动率",
+        "效果预估-20-60s视频-预期CPM"
+      ])
+    ).toEqual([
+      {
+        flowType: 0,
+        onlyAssign: false,
+        range: 2,
+        type: 1
+      },
+      {
+        flowType: 1,
+        onlyAssign: true,
+        range: 3,
+        type: 2
+      }
+    ]);
+  });
+
+  test("keeps newly selected configs when other content configs are cached", () => {
+    const personalConfig = DEFAULT_SPREAD_INFO_CONFIGS[0];
+    const xingtuConfig = DEFAULT_SPREAD_INFO_CONFIGS.find(
+      (config) =>
+        config.type === 2 &&
+        config.onlyAssign &&
+        config.flowType === 1 &&
+        config.range === 3
+    );
+
+    expect(xingtuConfig).toBeDefined();
+    expect(
+      filterUnloadedSpreadInfoConfigs(
+        [personalConfig, xingtuConfig!],
+        { "内容数据-个人视频-近30天-完播率": "28%" }
+      )
+    ).toEqual([xingtuConfig]);
+  });
+
   test("maps spread info response values into display values", () => {
     expect(
       mapSpreadInfoResponse({
@@ -169,6 +214,89 @@ describe("spread-info", () => {
     );
   });
 
+  test("requests only the explicitly selected spread configs", async () => {
+    const fetchImpl = vi.fn(async () => ({
+      json: async () => ({ play_over_rate: { value: 2824 } }),
+      ok: true
+    }));
+    const client = createSpreadInfoClient({ fetchImpl });
+    const selectedConfig = {
+      flowType: 1 as const,
+      onlyAssign: true,
+      range: 3 as const,
+      type: 2 as const
+    };
+
+    await client.loadAuthorSpreadMetrics("7361012802036695050", [selectedConfig]);
+
+    expect(fetchImpl).toHaveBeenCalledTimes(1);
+    expect(fetchImpl.mock.calls[0][0]).toContain(
+      "type=2&flow_type=1&only_assign=true&range=3"
+    );
+  });
+
+  test("throws an HTTP error instead of returning empty metrics", async () => {
+    const client = createSpreadInfoClient({
+      fetchImpl: async () => ({
+        json: async () => ({}),
+        ok: false,
+        status: 429,
+        statusText: "Too Many Requests"
+      })
+    });
+
+    await expect(
+      client.loadAuthorSpreadMetricSnapshot("7361012802036695050", {
+        flowType: 0,
+        onlyAssign: true,
+        range: 2,
+        type: 2
+      })
+    ).rejects.toThrow("HTTP 429: Too Many Requests");
+  });
+
+  test("throws an explicit error when Xingtu reports business rate limiting", async () => {
+    const client = createSpreadInfoClient({
+      fetchImpl: async () => ({
+        json: async () => ({
+          base_resp: {
+            status_code: 31157,
+            status_message: "您访问过于频繁，请24小时后重试"
+          }
+        }),
+        ok: true
+      })
+    });
+
+    await expect(
+      client.loadAuthorSpreadMetricSnapshot("7361012802036695050", {
+        flowType: 0,
+        onlyAssign: true,
+        range: 2,
+        type: 2
+      })
+    ).rejects.toThrow(
+      "星图传播数据接口被限流 (status_code=31157): 您访问过于频繁，请24小时后重试"
+    );
+  });
+
+  test("propagates network errors instead of returning empty metrics", async () => {
+    const client = createSpreadInfoClient({
+      fetchImpl: async () => {
+        throw new Error("network unavailable");
+      }
+    });
+
+    await expect(
+      client.loadAuthorSpreadMetricSnapshot("7361012802036695050", {
+        flowType: 0,
+        onlyAssign: true,
+        range: 2,
+        type: 2
+      })
+    ).rejects.toThrow("network unavailable");
+  });
+
   test("normalizes fixed personal-video parameters before grouping", () => {
     expect(
       normalizeSpreadInfoConfig({