Allow partial market rates in CSV export

src/content/market/api-client.ts

@@ -109,7 +109,7 @@ export function mapAuthorAseInfoResponse(payload: unknown): MarketApiResult {
     data.personal_avg_search_after_view_rate
   );
 
-  if (!singleVideoAfterSearchRate || !personalVideoAfterSearchRate) {
+  if (!singleVideoAfterSearchRate && !personalVideoAfterSearchRate) {
     return {
       success: false,
       reason: "missing-rate"
@@ -119,8 +119,8 @@ export function mapAuthorAseInfoResponse(payload: unknown): MarketApiResult {
   return {
     success: true,
     rates: {
-      singleVideoAfterSearchRate,
+      ...(singleVideoAfterSearchRate ? { singleVideoAfterSearchRate } : {}),
-      personalVideoAfterSearchRate
+      ...(personalVideoAfterSearchRate ? { personalVideoAfterSearchRate } : {})
     }
   };
 }

src/content/market/csv-exporter.ts

@@ -43,9 +43,40 @@ const RATE_COLUMNS: CsvColumn[] = [
   }
 ];
 
+const BACKEND_METRIC_COLUMNS: CsvColumn[] = [
+  {
+    header: "看后搜率",
+    readValue: (record: MarketRecord) =>
+      record.backendMetrics?.afterViewSearchRate ?? ""
+  },
+  {
+    header: "看后搜数",
+    readValue: (record: MarketRecord) =>
+      record.backendMetrics?.afterViewSearchCount ?? ""
+  },
+  {
+    header: "新增A3数",
+    readValue: (record: MarketRecord) =>
+      record.backendMetrics?.a3IncreaseCount ?? ""
+  },
+  {
+    header: "新增A3率",
+    readValue: (record: MarketRecord) =>
+      record.backendMetrics?.newA3Rate ?? ""
+  },
+  {
+    header: "CPA3",
+    readValue: (record: MarketRecord) => record.backendMetrics?.cpa3 ?? ""
+  },
+  {
+    header: "cp_search",
+    readValue: (record: MarketRecord) => record.backendMetrics?.cpSearch ?? ""
+  }
+];
+
 export function buildMarketCsv(records: MarketRecord[]): string {
   const baseColumns = buildBaseColumns(records);
-  const csvColumns = [...baseColumns, ...RATE_COLUMNS];
+  const csvColumns = [...baseColumns, ...RATE_COLUMNS, ...BACKEND_METRIC_COLUMNS];
   const headerLine = csvColumns.map((column) => column.header).join(",");
   const rowLines = records.map((record) =>
     csvColumns.map((column) => escapeCsvCell(column.readValue(record))).join(",")
@@ -57,10 +88,11 @@ export function buildMarketCsv(records: MarketRecord[]): string {
 function buildBaseColumns(records: MarketRecord[]): CsvColumn[] {
   const orderedHeaders: string[] = [];
   const seenHeaders = new Set<string>();
+  const excludedHeaders = new Set(["代表视频"]);
 
   records.forEach((record) => {
     Object.keys(record.exportFields ?? {}).forEach((header) => {
-      if (seenHeaders.has(header)) {
+      if (seenHeaders.has(header) || excludedHeaders.has(header)) {
         return;
       }
 

src/content/market/types.ts

@@ -60,7 +60,7 @@ export type MarketApiFailureReason =
 
 export type MarketApiSuccessResult = {
   success: true;
-  rates: Required<AfterSearchRates>;
+  rates: AfterSearchRates;
 };
 
 export type MarketApiFailureResult = {

tests/csv-exporter.test.ts

@@ -15,7 +15,13 @@ describe("csv-exporter", () => {
         "地区",
         "21-60s报价",
         "单视频看后搜率",
-        "个人视频看后搜率"
+        "个人视频看后搜率",
+        "看后搜率",
+        "看后搜数",
+        "新增A3数",
+        "新增A3率",
+        "CPA3",
+        "cp_search"
       ].join(",")
     );
   });
@@ -27,10 +33,19 @@ describe("csv-exporter", () => {
         authorName: "Alice",
         exportFields: {
           达人信息: "Alice",
+          代表视频: "示例视频",
           粉丝数: "100w",
           "21-60s报价": "¥450,000"
         },
         status: "success",
+        backendMetrics: {
+          a3IncreaseCount: "78,366.22",
+          afterViewSearchCount: "9,689.96",
+          afterViewSearchRate: "0.36%",
+          cpSearch: "14.46",
+          cpa3: "1.79",
+          newA3Rate: "3.44%"
+        },
         rates: {
           singleVideoAfterSearchRate: "0.5%-1%",
           personalVideoAfterSearchRate: "1% - 3%"
@@ -40,11 +55,56 @@ describe("csv-exporter", () => {
 
     const [headerLine, rowLine] = csv.split("\n");
     expect(headerLine).toBe(
-      ["达人信息", "粉丝数", "21-60s报价", "单视频看后搜率", "个人视频看后搜率"].join(
+      [
-        ","
+        "达人信息",
-      )
+        "粉丝数",
+        "21-60s报价",
+        "单视频看后搜率",
+        "个人视频看后搜率",
+        "看后搜率",
+        "看后搜数",
+        "新增A3数",
+        "新增A3率",
+        "CPA3",
+        "cp_search"
+      ].join(",")
     );
-    expect(rowLine).toBe('Alice,100w,"¥450,000",0.5% - 1%,1% - 3%');
+    expect(rowLine).toBe(
+      'Alice,100w,"¥450,000",0.5% - 1%,1% - 3%,0.36%,"9,689.96","78,366.22",3.44%,1.79,14.46'
+    );
+  });
+
+  test("omits the representative video column from exported page fields", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice",
+        exportFields: {
+          达人信息: "Alice",
+          代表视频: "示例视频",
+          粉丝数: "100w"
+        },
+        status: "success"
+      } satisfies MarketRecord
+    ]);
+
+    const [headerLine, rowLine] = csv.split("\n");
+
+    expect(headerLine).toBe(
+      [
+        "达人信息",
+        "粉丝数",
+        "单视频看后搜率",
+        "个人视频看后搜率",
+        "看后搜率",
+        "看后搜数",
+        "新增A3数",
+        "新增A3率",
+        "CPA3",
+        "cp_search"
+      ].join(",")
+    );
+    expect(rowLine).toBe("Alice,100w,,,,,,,,");
   });
 
   test("escapes commas and quotes", () => {
@@ -77,7 +137,7 @@ describe("csv-exporter", () => {
     ]);
 
     const [, rowLine] = csv.split("\n");
-    expect(rowLine).toBe("123,Alice,,,,");
+    expect(rowLine).toBe("123,Alice,,,,,,,,,,");
   });
 
   test("uses normalized display values in export rows", () => {
@@ -97,4 +157,21 @@ describe("csv-exporter", () => {
     expect(rowLine).toContain("0.5% - 1%");
     expect(rowLine).toContain("0.02% - 0.1%");
   });
+
+  test("emits empty backend metric cells when backend metrics are absent", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice",
+        status: "success",
+        rates: {
+          singleVideoAfterSearchRate: "0.5%-1%",
+          personalVideoAfterSearchRate: "0.02 - 0.1%"
+        }
+      } satisfies MarketRecord
+    ]);
+
+    const [, rowLine] = csv.split("\n");
+    expect(rowLine).toBe("123,Alice,,,0.5% - 1%,0.02% - 0.1%,,,,,,");
+  });
 });

tests/market-api-client.test.ts

@@ -33,12 +33,10 @@ describe("market-api-client", () => {
     });
   });
 
-  test("returns a missing-rate failure when the payload omits a required field", () => {
+  test("returns a missing-rate failure when the payload omits both rate fields", () => {
     expect(
       mapAuthorAseInfoResponse({
-        data: {
+        data: {}
-          avg_search_after_view_rate: "<0.02%"
-        }
       })
     ).toMatchObject({
       success: false,
@@ -46,6 +44,21 @@ describe("market-api-client", () => {
     });
   });
 
+  test("maps a partially populated payload into partial rates", () => {
+    expect(
+      mapAuthorAseInfoResponse({
+        data: {
+          personal_avg_search_after_view_rate: "0.02 - 0.1%"
+        }
+      })
+    ).toMatchObject({
+      success: true,
+      rates: {
+        personalVideoAfterSearchRate: "0.02% - 0.1%"
+      }
+    });
+  });
+
   test("returns a request-failed result for non-ok responses", async () => {
     const client = createMarketApiClient({
       fetchImpl: async () => ({