feat: 新增多个脚本用于监控抖音直播、店铺评价、售后及体验分数据
新增了多个脚本文件,用于监控抖音直播间的弹幕、店铺评价、售后数据及商家体验分。这些脚本通过飞书多维表格进行数据存储,并支持定时任务自动更新数据。具体包括: 1. 直播间弹幕监控脚本 2. 店铺评价监控脚本 3. 售后数据监控脚本 4. 商家体验分监控脚本 5. 竞品、行业及跨行业热门千川素材获取脚本 这些脚本通过飞书API进行数据写入,并支持去重和定时任务调度。
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// ==UserScript==
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// @name 抖音商家体验分监控
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// @namespace https://bbs.tampermonkey.net.cn/
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// @version 0.4.0
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// @description 每天更新前一日的体验分数据
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// @author wanxi
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// @crontab 0 8-19 * * *
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// @grant GM_xmlhttpRequest
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// ==/UserScript==
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const CONFIG = {
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id: "cli_a6f25876ea28100d",
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secret: "raLC56ZLIara07nKigpysfoDxHTAeyJf",
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appId: "GyUUbEzuxajfU4sGieIcNKxvnXd",
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tableId1: "tblyXVQVqwfcyaoK", // 维度表
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tableId2: "tbl8JEts30wvgWv3", // 指标表
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logTableId: "tbl6eZJpt9GkZjWO", // 运行记录表
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dimensionDict: [
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{
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维度: "商品体验",
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指标: ["商品差评率", "商品品质退货率"],
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},
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{
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维度: "物流体验",
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指标: ["运单配送时效达成率", "24小时支付-揽收率", "发货问题负向反馈率"],
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},
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{
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维度: "服务体验",
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指标: [
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"仅退款自主完结时长",
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"退货退款自主完结时长",
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"飞鸽平均响应时长",
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"飞鸽不满意率",
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"平台求助率",
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"售后拒绝率",
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],
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},
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],
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urls: {
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overview:
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"https://fxg.jinritemai.com/governance/shop/experiencescore/getOverviewByVersion?exp_version=8.0&source=1",
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analysisScore:
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"https://fxg.jinritemai.com/governance/shop/experiencescore/getAnalysisScore?new_dimension=true&time=30&filter_by_industry=true&number_type=30&exp_version=8.0",
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tenantAccessToken:
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"https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal",
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bitableRecords: (appId, tableId) =>
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`https://open.feishu.cn/open-apis/bitable/v1/apps/${appId}/tables/${tableId}/records`,
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bitableSearchRecords: (appId, tableId) =>
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`https://open.feishu.cn/open-apis/bitable/v1/apps/${appId}/tables/${tableId}/records/search`,
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},
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};
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let logs = [];
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let result = "Success";
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function log(message) {
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logs.push(message);
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console.log(message);
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}
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async function sendHttpRequest(
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method,
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url,
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body = null,
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headers = {
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"Content-Type": "application/json",
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}
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) {
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return new Promise((resolve, reject) => {
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GM_xmlhttpRequest({
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method: method,
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url: url,
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data: body,
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headers: headers,
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onload: function (response) {
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if (response.status >= 200 && response.status < 300) {
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try {
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const jsonResponse = JSON.parse(response.responseText);
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if (jsonResponse.msg) {
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log(jsonResponse.msg);
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}
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resolve(jsonResponse);
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} catch (e) {
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reject(`Failed to parse JSON: ${e}`);
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}
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} else {
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reject(`Error: ${response.status} ${response.statusText}`);
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}
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},
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onerror: function (error) {
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reject(`Network Error: ${error}`);
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},
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});
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});
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}
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async function fetchTenantAccessToken(id, secret) {
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try {
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const response = await sendHttpRequest(
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"POST",
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CONFIG.urls.tenantAccessToken,
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JSON.stringify({
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app_id: id,
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app_secret: secret,
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})
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);
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return response.tenant_access_token;
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} catch (error) {
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throw new Error(`Error fetching Tenant Access Token: ${error}`);
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}
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}
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// 查询记录
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async function checkIfRecordExists(accessToken, appId, tableId, date) {
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try {
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const response = await sendHttpRequest(
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"POST",
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CONFIG.urls.bitableSearchRecords(appId, tableId),
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JSON.stringify({
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field_names: ["数据时间"],
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filter: {
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conjunction: "and",
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conditions: [
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{
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field_name: "数据时间",
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operator: "is",
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value: [date],
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},
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],
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},
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}),
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{
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Authorization: `Bearer ${accessToken}`,
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"Content-Type": "application/json",
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}
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);
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return response.data.total > 0;
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} catch (error) {
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throw new Error(`Failed to check if record exists in Bitable: ${error}`);
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}
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}
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async function updateBitableRecords(accessToken, appId, tableId, items) {
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try {
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const response = await sendHttpRequest(
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"POST",
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CONFIG.urls.bitableRecords(appId, tableId),
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JSON.stringify(items),
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{
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Authorization: `Bearer ${accessToken}`,
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"Content-Type": "application/json",
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}
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);
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log("Updated record: " + JSON.stringify(response));
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return response;
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} catch (error) {
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throw new Error(`Failed to update record in Bitable: ${error}`);
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}
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}
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function getDimension(indicator) {
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for (const dimension of CONFIG.dimensionDict) {
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if (dimension.指标.includes(indicator)) {
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return dimension.维度;
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}
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}
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return null;
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}
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function isYesterday(date) {
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const today = new Date();
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const yesterday = new Date(today);
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yesterday.setDate(today.getDate() - 1);
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return date.toDateString() === yesterday.toDateString();
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}
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async function fetchAndUploadData() {
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try {
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// 获取TenantAccessToken
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log("Fetching tenant access token...");
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const accessToken = await fetchTenantAccessToken(CONFIG.id, CONFIG.secret);
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log("Tenant access token fetched successfully.");
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/*
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// 获取昨天的日期
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const today = new Date();
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const yesterday = new Date(today);
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yesterday.setDate(today.getDate() - 1);
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const yesterdayStr = yesterday.toISOString().split('T')[0];
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*/
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// 检查昨天的数据是否已经存在
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log("Checking if yesterday's data already exists...");
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//https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide
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const recordExists = await checkIfRecordExists(
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accessToken,
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CONFIG.appId,
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CONFIG.tableId1,
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"Yesterday"
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);
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if (recordExists) {
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log("Yesterday's data already exists. Skipping data upload.");
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return;
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}
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// 细分指标里面有current_date,先请求细分指标
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log("Fetching analysis score data...");
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const analysisData = await sendHttpRequest(
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"GET",
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CONFIG.urls.analysisScore
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);
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log("analysisData: " + JSON.stringify(analysisData));
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if (!analysisData || !analysisData.data) {
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throw new Error("Invalid analysisData structure");
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}
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const currentDate = new Date(Date.parse(analysisData.data.current_date));
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if (!isYesterday(currentDate)) {
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log("Current date is not yesterday. Skipping data upload.");
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return;
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}
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const analysisScore = analysisData.data.shop_analysis.map((item) => ({
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指标: item.title,
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维度: getDimension(item.title),
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数据时间: new Date(currentDate).getTime(),
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数值无单位: item.value.value_figure,
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环比: item.compare_with_self.rise_than_yesterday,
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超越同行: item.surpass_peers.value_figure,
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等级: item.level,
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}));
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log("Analysis score data fetched successfully.");
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// 将指标分写入多维表格
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log("Uploading analysis score data to bitable...");
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for (const item of analysisScore) {
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const itemsToWrite = {
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fields: item,
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};
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await updateBitableRecords(
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accessToken,
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CONFIG.appId,
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CONFIG.tableId2,
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itemsToWrite
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);
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}
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log("Analysis score data uploaded successfully.");
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// 维度分
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log("Fetching overview data...");
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const overviewData = await sendHttpRequest("GET", CONFIG.urls.overview);
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log("overviewData: " + JSON.stringify(overviewData));
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if (!overviewData || !overviewData.data) {
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throw new Error("Invalid overviewData structure");
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}
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const scores = [
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{
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维度: "商品体验分",
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得分: overviewData.data.goods_score.value,
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较前一日: overviewData.data.goods_score.rise_than_yesterday,
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数据时间: new Date(currentDate).getTime(),
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},
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{
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维度: "物流体验分",
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得分: overviewData.data.logistics_score.value,
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较前一日: overviewData.data.logistics_score.rise_than_yesterday,
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数据时间: new Date(currentDate).getTime(),
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},
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{
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维度: "服务体验分",
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得分: overviewData.data.service_score.value,
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较前一日: overviewData.data.service_score.rise_than_yesterday,
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数据时间: new Date(currentDate).getTime(),
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},
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{
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维度: "商家体验分",
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得分: overviewData.data.experience_score.value,
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较前一日: overviewData.data.experience_score.rise_than_yesterday,
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数据时间: new Date(currentDate).getTime(),
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},
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];
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log("Overview data fetched successfully.");
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log("Uploading overview data to bitable...");
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for (const item of scores) {
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const itemsToWrite = {
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fields: item,
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};
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await updateBitableRecords(
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accessToken,
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CONFIG.appId,
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CONFIG.tableId1,
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itemsToWrite
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);
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}
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log("Overview data uploaded successfully.");
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} catch (error) {
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log("Error: " + error.message);
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result = "Failed";
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throw error;
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}
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}
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async function logRunResult() {
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try {
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const accessToken = await fetchTenantAccessToken(CONFIG.id, CONFIG.secret);
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const runTime = new Date().getTime();
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const logData1 = {
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fields: {
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表名: "商家体验分-维度",
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表格id: CONFIG.tableId1,
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最近运行时间: runTime,
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运行结果: result,
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日志: logs.join("\n"),
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},
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};
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const logData2 = {
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fields: {
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表名: "商家体验分-指标",
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表格id: CONFIG.tableId2,
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最近运行时间: runTime,
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运行结果: result,
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日志: logs.join("\n"),
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},
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};
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await updateBitableRecords(
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accessToken,
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CONFIG.appId,
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CONFIG.logTableId,
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logData1
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);
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await updateBitableRecords(
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accessToken,
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CONFIG.appId,
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CONFIG.logTableId,
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logData2
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);
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log("Run result logged successfully.");
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} catch (error) {
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log("Failed to log run result: " + error.message);
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}
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}
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(async function () {
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try {
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await fetchAndUploadData();
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} catch (error) {
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log("Script execution failed: " + error.message);
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} finally {
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await logRunResult();
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}
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})();
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