參照︰CCDS 指令碼範例 Google 工作表
Prerequisites
Prerequisites
連線至 Google 雲端硬碟前,請完成以下幾個預備步驟︰
- 瀏覽至您的 Google 雲端硬碟。
- 選取新增,然後選擇「檔案上傳」將 csv 檔案上傳至您的 Google 雲端硬碟。範例︰CCDSDemo.csv
- 在上傳的檔案上按一下滑鼠右鍵,然後選取共用。
- 在與使用者和群組共用窗格中,將共用設定設為知道連結的使用者。
- 從共用連結取得 Google 文件 ID。範例︰在範例 URL 中https://drive.google.com/file/d/1QZYX2345ri6789/view?usp=sharing,檔案 ID 為1QZYX2345ri6789
- 請將檔案 ID 填入指令碼中。範例︰var url = 'https://drive.google.com/uc?export=downloade&id=ENTER_FILE_ID_HERE';
Google 試算表範例指令碼
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); }