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Adaptive Planning
上次更新时间 :2023-06-23
参考信息:CCDS 脚本示例 Google 表格

参考信息:CCDS 脚本示例 Google 表格

Prerequisites

要连接到 Google 云盘,您需要执行以下几个预备步骤:
  1. 导航到您的 Google 云盘。
  2. 选择
    “新建”
    ,然后选择
    “文件上传”
    可将 csv 文件上传到您的 Google 云盘。示例:CCDS 演示.csv
  3. 右键单击已上传的文件,然后选择
    “共享”。
  4. “与人员和组共享
    ”窗格中,将共享设置设为“
    具有此链接的任何人
    ”。
  5. 从共享链接中获取 Google 文档编号。示例:示例 URL
    https://drive.google.com/file/d/1QZYX2345ri6789/view?usp=sharing
    ,文件编号为
    1QZYX2345ri6789
  6. 使用脚本的文件编号。示例:
    var url = 'https://drive.google.com/uc?export=downloade&id=ENTER_FILE_ID_HERE';

Google Sheets 示例脚本

var tableName = 'Csv Example'; //Make sure you adjust the settings to allow people to download this file from your google drive var url = 'https://drive.google.com/uc?export=downloade&id=ENTER_FILE_ID_HERE'; /* Example cvs file: ---------------------------------------------- Heading A,Heading B,Heading C A1,B1,C1 A2,B2,C2 A3,B3,C3 ---------------------------------------------- */ //Create an HTTPS request to send to the Google Drive API using the callApi function. function callApi() { var method = 'GET'; var body = ''; var headers = null; //Construct and send an HTTPS request to get all of the tables. return ai.https.request(url, method, body, headers); } function testConnection(context) { var response = callApi(); var responseCode = response.getHttpCode(); // Interrogate the response to check if it succeeded and that HTTP communication was successful. if (responseCode == 200) { ai.log.logInfo('Test Connection Succeeded'); return true; } else { ai.log.logError('Test Connection Failed','Response code was ' + responseCode); return false; } } function importStructure(context) { //Use the callAPI function to construct and send an HTTPS request to get all the tables var response = callApi(); //Get the structure builder object used to create tables, columns and other needed structures. var builder = context.getStructureBuilder(); var table = createTable(builder, tableName); var lines = extractLines(response); var headingLine = lines[0]; var headings = extractCells(headingLine); //parse the HTTPS response to construct a table for(var i = 0; i < headings.length; i++) { var heading = headings[i]; createColumn(table, heading); } } function importData(context) { var response = callApi(); //Use the passed-in contextual information to create a rowset object. var rowset = context.getRowset(); var lines = extractLines(response); //Skip the heading row and process each row to extract cell values for each column. for(var i = 1; i < lines.length; i++) { var line = lines[i]; if(line === '') continue; var cells = extractCells(line); //Add each row array to the rowset. rowset.addRow(cells); } } function createColumn(table, heading) { var columnId = escape(heading); var column = table.addColumn(columnId); column.setDisplayName(heading); column.setTextColumnType(1000); } function extractLines(response) { var content = response.getBody(); return content.split('\n'); } function extractCells(line) { return line.split(','); } function createTable(builder, name) { var tableId = escape(name); var table = builder.addTable(tableId); table.setDisplayName(name); return table; } //In this example, reuse the import data function with context for previewing the data. //A separate function might be needed to limit the amount of data preview gets back. function previewData(context) { importData(context); }