2013-01-08 63 views
4

我在那裏一個腳本正在輸入的數據並將其發送到電子表格中的情況。過了一段時間,這張電子表格變得太大了。打開谷歌文檔電子表格的名字

現在我們必須手動移動從初級電子表格中的項目,以一個新的。原因是不是每個人都熟悉代碼,並且願意更改代碼中的ID。

我想知道是否有通過名字來打開電子表格的方式。如果沒有,有沒有達到我們所需要的(上述)

+1

希望腳本實際做......爲什麼人們需要訪問SS ID什麼不是很清楚了嗎?爲什麼不在複製它的存檔後簡單地清除整個ss? –

回答

1

,我做類似於你所要求的,是先有劇本的東西的方式更好的辦法讓我的電子表格的副本(我將調用一個凍結的備份)變得太大了。一旦我安全地擁有了該副本,我就可以使用相同的腳本從不再需要的太大的電子表格中刪除所有這些行。 (我相信,有多個冷凍備份不費谷歌帳戶的任何資料,所以這是可行的)

注意,我刪除行,一個接一個;這需要時間。我這樣做是因爲我不刪除點以下的所有行,但只刪除與條件匹配的特定行。

在我的情況下,除了上述內容之外,我還有另外一個小程序,它讓腳本將我要刪除的所有行復制到第三個電子表格中(除了凍結的備份),但是這個似乎是你要求的更多。 (請注意,我們要從表格中刪除行的主電子表格名爲'原始',每列都有列A作爲時間戳;單元格A1被稱爲時間戳):

function ssCopy() { 
    var id = "0ArVhODIsJ2.... spreadsheet key of the master spreadsheet";    
    var smsSS = SpreadsheetApp.openById(id); 


    var recordingSS = SpreadsheetApp.openById("0AvhOXv5OGF.... spreadsheet key of archive spreadsheet");// you probably wont be using this 

    var recordingSMSCopiesSheet = recordingSS.getSheets()[0]; 


    var outgoingSMSsheet = smsSS.getSheetByName("Original"); 
    outgoingSMSsheet.getRange("A1").setValue("Time Stamp"); 

    var startRow = 2; 
    var numRows = outgoingSMSsheet.getDataRange().getLastRow(); 
    var numCols = 13; 
    var dataRange = outgoingSMSsheet.getRange(startRow, 1, numRows, numCols); 
    var objects = getRowsData(outgoingSMSsheet, dataRange); // Create one JavaScript object per row of data. 


    var rowDataNumberArray = []; 
    var rowToDeleteIndex = []; 
    for (var i = 0; i < objects.length; ++i) { // Get a row object 
    var rowData = objects[i]; 
    if( Date.parse(rowData.timeStamp) > Date.parse(ScriptProperties.getProperty('lastDate')) && (rowData.done == 1)){ //these are not used if these same 2 lines are inserted instead of here, downbelow 
     var rowStuff = [] 
     rowToDeleteIndex.push(i); 
     for(n in objects[i]){ 
     rowStuff.push( objects[i][n] )} 
     rowDataNumberArray.push(rowStuff)}; 
    Logger.log("rowData.number1 = " + rowStuff); 

    } 

    Logger.log(" rowDataNumberArray ~ " + rowDataNumberArray); 

    if(rowDataNumberArray.length > 0) 
    { 
    for(row in rowDataNumberArray) 
    {recordingSMSCopiesSheet.appendRow(rowDataNumberArray[row]);} 


    } 

    spreadsheetFrozenBackup(id) 


    for(var i = rowToDeleteIndex.length-1; i >= 0; i--) //backwards on purpose 
    outgoingSMSsheet.deleteRow(rowToDeleteIndex[i]+ 0 + startRow); //so we don't have to re-calculate our row indexes (thanks to H. Abreu) 

} 

////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// 



function spreadsheetFrozenBackup(id) { 

    // Get current spreadsheet. 
    var ss = SpreadsheetApp.openById(id);      

    // Name the backup spreadsheet with date. 
    var bssName = " Frozen Spreadsheet at: " + Utilities.formatDate(new Date(), "GMT+1:00", "yyyy-MM-dd'T'HH:mm:ss") + " : " + ss.getName() ; 
    var bs = SpreadsheetApp.openById((DocsList.copy(DocsList.getFileById(ss.getId()), bssName)).getId()); 


} 

////////////////////////////////////////////////////////////////////////////////////////// 
// 
// The code below is reused from the 'Reading Spreadsheet data using JavaScript Objects' 
// tutorial. 
// 
////////////////////////////////////////////////////////////////////////////////////////// 

// getRowsData iterates row by row in the input range and returns an array of objects. 
// Each object contains all the data for a given row, indexed by its normalized column name. 
// Arguments: 
// - sheet: the sheet object that contains the data to be processed 
// - range: the exact range of cells where the data is stored 
// - columnHeadersRowIndex: specifies the row number where the column names are stored. 
//  This argument is optional and it defaults to the row immediately above range; 
// Returns an Array of objects. 
function getRowsData(sheet, range, columnHeadersRowIndex) { 
    columnHeadersRowIndex = columnHeadersRowIndex || range.getRowIndex() - 1; 
    var numColumns = range.getEndColumn() - range.getColumn() + 1; 
    var headersRange = sheet.getRange(columnHeadersRowIndex, range.getColumn(), 1, numColumns); 
    var headers = headersRange.getValues()[0]; 
    return getObjects(range.getValues(), normalizeHeaders(headers)); 
} 

// For every row of data in data, generates an object that contains the data. Names of 
// object fields are defined in keys. 
// Arguments: 
// - data: JavaScript 2d array 
// - keys: Array of Strings that define the property names for the objects to create 
function getObjects(data, keys) { 
    var objects = []; 
    for (var i = 0; i < data.length; ++i) { 
    var object = {}; 
    var hasData = false; 
    for (var j = 0; j < data[i].length; ++j) { 
     var cellData = data[i][j]; 
     if (isCellEmpty(cellData)) { 
     continue; 
     } 
     object[keys[j]] = cellData; 
     hasData = true; 
    } 
    if (hasData) { 
     objects.push(object); 
    } 
    } 
    return objects; 
} 

// Returns an Array of normalized Strings. 
// Arguments: 
// - headers: Array of Strings to normalize 
function normalizeHeaders(headers) { 
    var keys = []; 
    for (var i = 0; i < headers.length; ++i) { 
    var key = normalizeHeader(headers[i]); 
    if (key.length > 0) { 
     keys.push(key); 
    } 
    } 
    return keys; 
} 

// Normalizes a string, by removing all alphanumeric characters and using mixed case 
// to separate words. The output will always start with a lower case letter. 
// This function is designed to produce JavaScript object property names. 
// Arguments: 
// - header: string to normalize 
// Examples: 
// "First Name" -> "firstName" 
// "Market Cap (millions) -> "marketCapMillions 
// "1 number at the beginning is ignored" -> "numberAtTheBeginningIsIgnored" 
function normalizeHeader(header) { 
    var key = ""; 
    var upperCase = false; 
    for (var i = 0; i < header.length; ++i) { 
    var letter = header[i]; 
    if (letter == " " && key.length > 0) { 
     upperCase = true; 
     continue; 
    } 
    if (!isAlnum(letter)) { 
     continue; 
    } 
    if (key.length == 0 && isDigit(letter)) { 
     continue; // first character must be a letter 
    } 
    if (upperCase) { 
     upperCase = false; 
     key += letter.toUpperCase(); 
    } else { 
     key += letter.toLowerCase(); 
    } 
    } 
    return key; 
} 

// Returns true if the cell where cellData was read from is empty. 
// Arguments: 
// - cellData: string 
function isCellEmpty(cellData) { 
    return typeof(cellData) == "string" && cellData == ""; 
} 

// Returns true if the character char is alphabetical, false otherwise. 
function isAlnum(char) { 
    return char >= 'A' && char <= 'Z' || 
    char >= 'a' && char <= 'z' || 
    isDigit(char); 
} 

// Returns true if the character char is a digit, false otherwise. 
function isDigit(char) { 
    return char >= '0' && char <= '9'; 
} 




// setRowsData fills in one row of data per object defined in the objects Array. // https://developers.google.com/apps-script/storing_data_spreadsheets 
// For every Column, it checks if data objects define a value for it. 
// Arguments: 
// - sheet: the Sheet Object where the data will be written 
// - objects: an Array of Objects, each of which contains data for a row 
// - optHeadersRange: a Range of cells where the column headers are defined. This 
//  defaults to the entire first row in sheet. 
// - optFirstDataRowIndex: index of the first row where data should be written. This 
//  defaults to the row immediately below the headers. 
function setRowsData(sheet, objects, optHeadersRange, optFirstDataRowIndex) { 
    var headersRange = optHeadersRange || sheet.getRange(1, 1, 1, sheet.getMaxColumns()); 
    var firstDataRowIndex = optFirstDataRowIndex || headersRange.getRowIndex() + 1; 
    var headers = normalizeHeaders(headersRange.getValues()[0]); 

    var data = []; 
    for (var i = 0; i < objects.length; ++i) { 
    var values = [] 
    for (j = 0; j < headers.length; ++j) { 
     var header = headers[j]; 
     values.push(header.length > 0 && objects[i][header] ? objects[i][header] : ""); 
    } 
    data.push(values); 
    } 

    var destinationRange = sheet.getRange(firstDataRowIndex, headersRange.getColumnIndex(), 
             objects.length, headers.length); 
    destinationRange.setValues(data); 
} 
4

更新:DocsList現在已經是sunset。改爲使用DriveApp.getFilesByName(name)


David已經提供了一些很好的代碼來清洗你的數據。如果你真的需要只是通過名字來打開電子表格,那麼這將這樣的伎倆:

function getSpreadsheetByName(filename) { 
    var files = DocsList.find(filename); 

    for(var i in files) 
    { 
    if(files[i].getName() == filename) 
    { 
     // open - undocumented function 
     return SpreadsheetApp.open(files[i]); 
     // openById - documented but more verbose 
     // return SpreadsheetApp.openById(files[i].getId()); 
    } 
    } 
    return null; 
} 
+0

感謝這兩個建議。它們對我們的目的都很有用。 – user1807201

+1

這個答案已經過時了,目前的做法是[在另一個答案](http://stackoverflow.com/a/29990059)。 – 2016-06-08 13:24:40

3

中不再起作用,因爲它已經貶值了一個答案使用的已超出DocsList服務。我更新了腳本,看起來更像以下內容。

// Open the file 
    var FileIterator = DriveApp.getFilesByName(FileNameString); 
    while (FileIterator.hasNext()) 
    { 
    var file = FileIterator.next(); 
    if (file.getName() == FileNameString) 
    { 
     var Sheet = SpreadsheetApp.open(file); 
     var fileID = file.getId(); 
    }  
    } 

對於已超出DocsList的更換DriveApp https://developers.google.com/apps-script/reference/drive/drive-app

+0

謝謝,這有幫助。 – Hsehdar

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