fix: hydrate id export metrics and remove new tier columns

src/content/market/audience-profile-csv.ts

@@ -30,7 +30,6 @@ const GENDER_LABELS = ["男性", "女性"];
 const AGE_LABELS = ["18-23", "24-30", "31-40", "41-50", "50+"];
 const CITY_TIER_LABELS = [
   "一线城市",
-  "新一线城市",
   "二线城市",
   "三线城市",
   "四线城市",

src/content/market/index.ts

@@ -296,6 +296,7 @@ export function createMarketController(options: CreateMarketControllerOptions) {
           `识别 ${parsed.ids.length + parsed.duplicates.length + parsed.invalidTokens.length} 个，去重后 ${parsed.ids.length} 个，非法 ${parsed.invalidTokens.length} 个`
         );
 
+        const backendMetricsByAuthorId = await loadBackendMetricsMap(parsed.ids);
         const rows: AudienceProfileExportRow[] = [];
         for (let index = 0; index < parsed.ids.length; index += 1) {
           const authorId = parsed.ids[index];
@@ -303,7 +304,12 @@ export function createMarketController(options: CreateMarketControllerOptions) {
             toolbar,
             `按ID画像导出中 ${index + 1}/${parsed.ids.length}...`
           );
-          rows.push(await loadAudienceProfileRowById(authorId));
+          rows.push(
+            await loadAudienceProfileRowById(
+              authorId,
+              backendMetricsByAuthorId.get(authorId)
+            )
+          );
         }
 
         options.onCsvReady?.(
@@ -761,12 +767,20 @@ export function createMarketController(options: CreateMarketControllerOptions) {
   }
 
   async function loadAudienceProfileRowById(
-    authorId: string
+    authorId: string,
+    backendMetrics?: BackendMetrics
   ): Promise<AudienceProfileExportRow> {
-    const baseRecord = await loadAuthorBaseInfoSafe(authorId);
+    const [baseRecord, metricsResult] = await Promise.all([
+      loadAuthorBaseInfoSafe(authorId),
+      loadAuthorMetricsSafe(authorId)
+    ]);
     const recordForRequests = {
       ...baseRecord,
-      authorName: baseRecord.authorName || authorId
+      authorName: baseRecord.authorName || authorId,
+      ...(metricsResult.success ? { rates: metricsResult.rates } : {}),
+      ...(backendMetrics
+        ? { backendMetrics, backendMetricsStatus: "success" as const }
+        : {})
     };
     const [profiles, businessAbility] = await Promise.all([
       loadAudienceProfileSet(recordForRequests),
@@ -814,6 +828,40 @@ export function createMarketController(options: CreateMarketControllerOptions) {
     }
   }
 
+  async function loadAuthorMetricsSafe(
+    authorId: string
+  ): Promise<MarketApiResult> {
+    try {
+      return await loadAuthorMetrics(authorId);
+    } catch {
+      return {
+        reason: "request-failed",
+        success: false
+      };
+    }
+  }
+
+  async function loadBackendMetricsMap(
+    authorIds: string[]
+  ): Promise<Map<string, BackendMetrics>> {
+    const metricsMap = new Map<string, BackendMetrics>();
+    if (!searchBackendMetrics || authorIds.length === 0) {
+      return metricsMap;
+    }
+
+    try {
+      const rows = await searchBackendMetrics(authorIds);
+      rows.forEach((row) => {
+        const { starId, ...backendMetrics } = row;
+        metricsMap.set(starId, backendMetrics);
+      });
+    } catch {
+      return metricsMap;
+    }
+
+    return metricsMap;
+  }
+
   function collectAudienceProfileRowFailures(
     baseRecord: MarketRecord,
     profiles: AudienceProfileExportRow["profiles"],

tests/audience-profile-csv.test.ts

@@ -102,6 +102,9 @@ describe("audience-profile-csv", () => {
     expect(headerLine).toContain("观众画像-31-40占比");
     expect(headerLine).toContain("粉丝画像-一线城市占比");
     expect(headerLine).toContain("铁粉画像-都市蓝领占比");
+    expect(headerLine).not.toContain("观众画像-新一线城市占比");
+    expect(headerLine).not.toContain("粉丝画像-新一线城市占比");
+    expect(headerLine).not.toContain("铁粉画像-新一线城市占比");
     expect(headerLine).not.toContain("省份");
     expect(headerLine).not.toContain("地域TOP");
     expect(headerLine).not.toContain("兴趣TOP");
@@ -183,10 +186,10 @@ describe("audience-profile-csv", () => {
 
     expect(readCsvValue(csv, "铁粉画像-41-50占比")).toBe("0%");
     expect(readCsvValue(csv, "铁粉画像-50+占比")).toBe("0%");
-    expect(readCsvValue(csv, "铁粉画像-新一线城市占比")).toBe("0%");
     expect(readCsvValue(csv, "铁粉画像-五线城市占比")).toBe("0%");
     expect(readCsvValue(csv, "铁粉画像-都市银发占比")).toBe("0%");
     expect(readCsvValue(csv, "铁粉画像-Z世代占比")).toBe("0%");
+    expect(csv.split("\n")[0]).not.toContain("新一线城市占比");
   });
 });
 

tests/market-content-entry.test.ts

@@ -1728,6 +1728,26 @@ describe("market-content-entry", () => {
       gender: [{ label: "男性", value: "60%" }],
       status: "success" as const
     }));
+    const loadAuthorMetrics = vi.fn(async (authorId: string) => ({
+      rates: {
+        personalVideoAfterSearchRate:
+          authorId === "6866044569306267651" ? "12.3%" : "45.6%",
+        singleVideoAfterSearchRate:
+          authorId === "6866044569306267651" ? "7.8%" : "9.1%"
+      },
+      success: true as const
+    }));
+    const searchBackendMetrics = vi.fn(async (starIds: string[]) =>
+      starIds.map((starId) => ({
+        a3IncreaseCount: starId === "6866044569306267651" ? "100" : "200",
+        afterViewSearchCount: starId === "6866044569306267651" ? "300" : "400",
+        afterViewSearchRate: starId === "6866044569306267651" ? "1.1%" : "2.2%",
+        cpSearch: starId === "6866044569306267651" ? "10" : "20",
+        cpa3: starId === "6866044569306267651" ? "30" : "40",
+        newA3Rate: starId === "6866044569306267651" ? "3.3%" : "4.4%",
+        starId
+      }))
+    );
     const onCsvReady = vi.fn();
 
     const { createMarketController } = await import("../src/content/market/index");
@@ -1737,10 +1757,7 @@ describe("market-content-entry", () => {
       loadAuthorBaseInfo,
       loadBusinessAbility,
       loadAudienceProfile,
-      loadAuthorMetrics: async () => ({
+      loadAuthorMetrics,
-        success: false,
-        reason: "request-failed"
-      }),
       onCsvReady,
       promptAuthorIds: () => `
         6866044569306267651
@@ -1748,10 +1765,13 @@ describe("market-content-entry", () => {
         6866044569306267651
         bad-id
       `,
+      searchBackendMetrics,
       window
     }));
 
     await controller.ready;
+    loadAuthorMetrics.mockClear();
+    searchBackendMetrics.mockClear();
     click('[data-plugin-export-audience-profile-by-id="button"]');
     await waitForMockCall(buildAudienceProfileCsv, 40, 50);
 
@@ -1761,23 +1781,56 @@ describe("market-content-entry", () => {
     ]);
     expect(loadAudienceProfile).toHaveBeenCalledTimes(6);
     expect(loadBusinessAbility).toHaveBeenCalledTimes(2);
+    expect(loadAuthorMetrics.mock.calls.map(([authorId]) => authorId)).toEqual([
+      "6866044569306267651",
+      "7040323176106033165"
+    ]);
+    expect(searchBackendMetrics).toHaveBeenCalledTimes(1);
+    expect(searchBackendMetrics).toHaveBeenCalledWith([
+      "6866044569306267651",
+      "7040323176106033165"
+    ]);
     expect(buildAudienceProfileCsv).toHaveBeenCalledWith([
       expect.objectContaining({
         record: expect.objectContaining({
           authorId: "6866044569306267651",
           authorName: "小九儿",
+          backendMetrics: expect.objectContaining({
+            a3IncreaseCount: "100",
+            afterViewSearchCount: "300",
+            afterViewSearchRate: "1.1%",
+            cpSearch: "10",
+            cpa3: "30",
+            newA3Rate: "3.3%"
+          }),
           exportFields: {
             达人ID: "6866044569306267651",
             达人名称: "小九儿",
             导出状态: "成功",
             失败原因: ""
+          },
+          rates: {
+            personalVideoAfterSearchRate: "12.3%",
+            singleVideoAfterSearchRate: "7.8%"
           }
         })
       }),
       expect.objectContaining({
         record: expect.objectContaining({
           authorId: "7040323176106033165",
-          authorName: "达人 B"
+          authorName: "达人 B",
+          backendMetrics: expect.objectContaining({
+            a3IncreaseCount: "200",
+            afterViewSearchCount: "400",
+            afterViewSearchRate: "2.2%",
+            cpSearch: "20",
+            cpa3: "40",
+            newA3Rate: "4.4%"
+          }),
+          rates: {
+            personalVideoAfterSearchRate: "45.6%",
+            singleVideoAfterSearchRate: "9.1%"
+          }
         })
       })
     ]);