154 lines
5.3 KiB
TypeScript
154 lines
5.3 KiB
TypeScript
import { describe, expect, test } from "vitest";
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import { buildAudienceProfileCsv } from "../src/content/market/audience-profile-csv";
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import type { AudienceProfileExportRow } from "../src/content/market/audience-profile-types";
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describe("audience-profile-csv", () => {
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test("exports only requested profile distribution columns", () => {
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const csv = buildAudienceProfileCsv([
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{
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profiles: {
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audience: {
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age: [{ label: "31-40", value: "50%" }],
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cityTier: [{ label: "一线城市", value: "100%" }],
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crowd: [{ label: "都市蓝领", value: "100%" }],
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gender: [
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{ label: "男性", value: "71.7%" },
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{ label: "女性", value: "28.3%" }
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],
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status: "success"
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},
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fans: {
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age: [{ label: "31-40", value: "40%" }],
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cityTier: [{ label: "一线城市", value: "80%" }],
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crowd: [{ label: "都市蓝领", value: "60%" }],
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gender: [
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{ label: "男性", value: "60%" },
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{ label: "女性", value: "40%" }
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],
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status: "success"
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},
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longtimeFans: {
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age: [{ label: "31-40", value: "30%" }],
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cityTier: [{ label: "一线城市", value: "70%" }],
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crowd: [{ label: "都市蓝领", value: "50%" }],
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status: "success"
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}
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},
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record: {
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authorId: "123",
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authorName: "达人 A",
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exportFields: {
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达人信息: "达人 A",
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连接用户数: "300w"
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},
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status: "success"
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}
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} satisfies AudienceProfileExportRow
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]);
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const [headerLine, rowLine] = csv.split("\n");
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expect(headerLine).toContain("达人信息,连接用户数");
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expect(headerLine).not.toContain("抓取状态");
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expect(headerLine).not.toContain("失败原因");
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expect(headerLine).toContain("观众画像-男性占比");
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expect(headerLine).toContain("粉丝画像-女性占比");
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expect(headerLine).not.toContain("铁粉画像-男性占比");
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expect(headerLine).toContain("观众画像-31-40占比");
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expect(headerLine).toContain("粉丝画像-一线城市占比");
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expect(headerLine).toContain("铁粉画像-都市蓝领占比");
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expect(headerLine).not.toContain("省份");
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expect(headerLine).not.toContain("地域TOP");
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expect(headerLine).not.toContain("兴趣TOP");
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expect(rowLine).toContain("71.7%");
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expect(rowLine).toContain("60%");
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});
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test("leaves distribution cells empty when profile loading fails", () => {
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const csv = buildAudienceProfileCsv([
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{
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profiles: {
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audience: {
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failureReason: "request-failed",
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status: "failed"
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},
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fans: {
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failureReason: "timeout",
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status: "failed"
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},
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longtimeFans: {
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status: "failed"
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}
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},
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record: {
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authorId: "123",
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authorName: "达人 A",
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status: "success"
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}
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} satisfies AudienceProfileExportRow
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]);
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const [, rowLine] = csv.split("\n");
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expect(rowLine).not.toContain("失败");
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expect(rowLine).not.toContain("request-failed");
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expect(rowLine).not.toContain("timeout");
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});
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test("fills missing fixed distribution buckets with zero for successful profiles", () => {
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const csv = buildAudienceProfileCsv([
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{
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profiles: {
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audience: { status: "success" },
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fans: { status: "success" },
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longtimeFans: {
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age: [
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{ label: "18-23", value: "11.1%" },
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{ label: "24-30", value: "33.3%" },
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{ label: "31-40", value: "55.6%" }
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],
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cityTier: [
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{ label: "一线城市", value: "10%" },
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{ label: "二线城市", value: "20%" },
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{ label: "三线城市", value: "40%" },
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{ label: "四线城市", value: "30%" }
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],
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crowd: [
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{ label: "精致妈妈", value: "30%" },
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{ label: "新锐白领", value: "20%" },
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{ label: "资深中产", value: "10%" },
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{ label: "都市蓝领", value: "20%" },
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{ label: "小镇中老年", value: "10%" },
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{ label: "小镇青年", value: "10%" }
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],
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status: "success"
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}
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},
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record: {
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authorId: "123",
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authorName: "达人 A",
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status: "success"
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}
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} satisfies AudienceProfileExportRow
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]);
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expect(readCsvValue(csv, "铁粉画像-41-50占比")).toBe("0%");
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expect(readCsvValue(csv, "铁粉画像-50+占比")).toBe("0%");
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expect(readCsvValue(csv, "铁粉画像-新一线城市占比")).toBe("0%");
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expect(readCsvValue(csv, "铁粉画像-五线城市占比")).toBe("0%");
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expect(readCsvValue(csv, "铁粉画像-都市银发占比")).toBe("0%");
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expect(readCsvValue(csv, "铁粉画像-Z世代占比")).toBe("0%");
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});
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});
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function readCsvValue(csv: string, header: string): string {
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const [headerLine, rowLine] = csv.split("\n");
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const headers = headerLine.split(",");
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const values = rowLine.split(",");
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const index = headers.indexOf(header);
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expect(index).toBeGreaterThanOrEqual(0);
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return values[index] ?? "";
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}
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