feat: add csv exporter

src/content/market/csv-exporter.ts

@@ -0,0 +1,49 @@
+import { normalizeRateDisplay } from "../../shared/rate-normalizer";
+import { escapeCsvCell } from "../../shared/csv";
+import type { MarketRecord } from "./types";
+
+const CSV_COLUMNS = [
+  {
+    header: "达人ID",
+    readValue: (record: MarketRecord) => record.authorId
+  },
+  {
+    header: "达人名称",
+    readValue: (record: MarketRecord) => record.authorName
+  },
+  {
+    header: "地区",
+    readValue: (record: MarketRecord) => record.location ?? ""
+  },
+  {
+    header: "21-60s报价",
+    readValue: (record: MarketRecord) => record.price21To60s ?? ""
+  },
+  {
+    header: "单视频看后搜率",
+    readValue: (record: MarketRecord) =>
+      record.rates?.singleVideoAfterSearchRate
+        ? normalizeRateDisplay(record.rates.singleVideoAfterSearchRate)
+        : ""
+  },
+  {
+    header: "个人视频看后搜率",
+    readValue: (record: MarketRecord) =>
+      record.rates?.personalVideoAfterSearchRate
+        ? normalizeRateDisplay(record.rates.personalVideoAfterSearchRate)
+        : ""
+  },
+  {
+    header: "插件数据状态",
+    readValue: (record: MarketRecord) => record.status
+  }
+] as const;
+
+export function buildMarketCsv(records: MarketRecord[]): string {
+  const headerLine = CSV_COLUMNS.map((column) => column.header).join(",");
+  const rowLines = records.map((record) =>
+    CSV_COLUMNS.map((column) => escapeCsvCell(column.readValue(record))).join(",")
+  );
+
+  return [headerLine, ...rowLines].join("\n");
+}

src/shared/csv.ts

@@ -0,0 +1,7 @@
+export function escapeCsvCell(value: string): string {
+  if (/[",\n]/.test(value)) {
+    return `"${value.replace(/"/g, "\"\"")}"`;
+  }
+
+  return value;
+}

tests/csv-exporter.test.ts

@@ -0,0 +1,74 @@
+import { describe, expect, test } from "vitest";
+
+import { buildMarketCsv } from "../src/content/market/csv-exporter";
+import type { MarketRecord } from "../src/content/market/types";
+
+describe("csv-exporter", () => {
+  test("uses the expected header order", () => {
+    const csv = buildMarketCsv([]);
+    const [headerLine] = csv.split("\n");
+
+    expect(headerLine).toBe(
+      [
+        "达人ID",
+        "达人名称",
+        "地区",
+        "21-60s报价",
+        "单视频看后搜率",
+        "个人视频看后搜率",
+        "插件数据状态"
+      ].join(",")
+    );
+  });
+
+  test("escapes commas and quotes", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice, \"A\"",
+        location: "Hangzhou",
+        price21To60s: "450000",
+        status: "success",
+        rates: {
+          singleVideoAfterSearchRate: "0.5%-1%",
+          personalVideoAfterSearchRate: "1% - 3%"
+        }
+      }
+    ]);
+
+    const [, rowLine] = csv.split("\n");
+    expect(rowLine).toContain("\"Alice, \"\"A\"\"\"");
+  });
+
+  test("emits empty rate fields plus failed status for failed rows", () => {
+    const csv = buildMarketCsv([
+      {
+        authorId: "123",
+        authorName: "Alice",
+        status: "failed",
+        failureReason: "request-failed"
+      }
+    ]);
+
+    const [, rowLine] = csv.split("\n");
+    expect(rowLine).toBe("123,Alice,,,,,failed");
+  });
+
+  test("uses normalized display values in export rows", () => {
+    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).toContain("0.5% - 1%");
+    expect(rowLine).toContain("0.02% - 0.1%");
+  });
+});