feat: export author spread metrics

tests/csv-exporter.test.ts

@@ -1,6 +1,7 @@
 import { describe, expect, test } from "vitest";
 
 import { buildMarketCsv } from "../src/content/market/csv-exporter";
+import { buildSpreadInfoColumns } from "../src/content/market/spread-info";
 import type { MarketRecord } from "../src/content/market/types";
 
 describe("csv-exporter", () => {
@@ -21,12 +22,13 @@ describe("csv-exporter", () => {
         "秒思api-新增A3数",
         "秒思api-新增A3率",
         "秒思api-CPA3",
-        "秒思api-cp_search"
+        "秒思api-cp_search",
+        ...buildSpreadInfoColumns()
       ].join(",")
     );
   });
 
-  test("uses page export field order and appends the two plugin columns", () => {
+  test("uses page export field order and appends the plugin columns", () => {
     const csv = buildMarketCsv([
       {
         authorId: "123",
@@ -66,11 +68,16 @@ describe("csv-exporter", () => {
         "秒思api-新增A3数",
         "秒思api-新增A3率",
         "秒思api-CPA3",
-        "秒思api-cp_search"
+        "秒思api-cp_search",
+        ...buildSpreadInfoColumns()
       ].join(",")
     );
-    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'
+    expect(rowLine).toMatch(
+      new RegExp(
+        `^${escapeRegExp(
+          'Alice,100w,"¥450,000",0.5% - 1%,1% - 3%,0.36%,"9,689.96","78,366.22",3.44%,1.79,14.46'
+        )}`
+      )
     );
   });
 
@@ -101,10 +108,13 @@ describe("csv-exporter", () => {
         "秒思api-新增A3数",
         "秒思api-新增A3率",
         "秒思api-CPA3",
-        "秒思api-cp_search"
+        "秒思api-cp_search",
+        ...buildSpreadInfoColumns()
       ].join(",")
     );
-    expect(rowLine).toBe("Alice,100w,,,,,,,,");
+    expect(rowLine.split(",").slice(0, 10).join(",")).toBe(
+      "Alice,100w,,,,,,,,"
+    );
   });
 
   test("escapes commas and quotes", () => {
@@ -137,7 +147,10 @@ describe("csv-exporter", () => {
     ]);
 
     const [, rowLine] = csv.split("\n");
-    expect(rowLine).toBe("123,Alice,,,,,,,,,,");
+    expect(rowLine.split(",").slice(0, 12).join(",")).toBe(
+      "123,Alice,,,,,,,,,,"
+    );
+    expect(rowLine.split(",").slice(12).every((cell) => cell === "")).toBe(true);
   });
 
   test("uses normalized display values in export rows", () => {
@@ -172,6 +185,53 @@ describe("csv-exporter", () => {
     ]);
 
     const [, rowLine] = csv.split("\n");
-    expect(rowLine).toBe("123,Alice,,,0.5% - 1%,0.02% - 0.1%,,,,,,");
+    expect(rowLine.split(",").slice(0, 12).join(",")).toBe(
+      "123,Alice,,,0.5% - 1%,0.02% - 0.1%,,,,,,"
+    );
+  });
+
+  test("appends spread info metric columns after backend metrics", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice",
+        spreadMetrics: {
+          "个人视频_近30天_完播率": "28.24%",
+          "只看指派_排除营销流量_星图视频_近30天_互动率": "4.02%"
+        },
+        status: "success"
+      } satisfies MarketRecord
+    ]);
+
+    const [headerLine, rowLine] = csv.split("\n");
+    expect(headerLine).toContain(
+      [
+        "秒思api-cp_search",
+        "个人视频_近30天_完播率",
+        "个人视频_近30天_播放量中位数"
+      ].join(",")
+    );
+    expect(headerLine).toContain(
+      "只看指派_排除营销流量_星图视频_近30天_互动率"
+    );
+    expect(rowLine).toContain("28.24%");
+    expect(rowLine).toContain("4.02%");
+  });
+
+  test("emits empty spread info cells when spread metrics are absent", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice",
+        status: "success"
+      } satisfies MarketRecord
+    ]);
+
+    const [, rowLine] = csv.split("\n");
+    expect(rowLine.split(",").slice(-70).every((cell) => cell === "")).toBe(true);
   });
 });
+
+function escapeRegExp(value: string): string {
+  return value.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+}