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Google Spreadsheet JSON ExportHow-to at http://blog.pamelafox.org/2013/06/exporting-google-spreadsheet-as-json.html
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// Includes functions for exporting active sheet or all sheets as JSON object (also Python object syntax compatible). | |
// Tweak the makePrettyJSON_ function to customize what kind of JSON to export. | |
var FORMAT_ONELINE = 'One-line'; | |
var FORMAT_MULTILINE = 'Multi-line'; | |
var FORMAT_PRETTY = 'Pretty'; | |
var LANGUAGE_JS = 'JavaScript'; | |
var LANGUAGE_PYTHON = 'Python'; | |
var STRUCTURE_LIST = 'List'; | |
var STRUCTURE_HASH = 'Hash (keyed by "id" column)'; | |
/* Defaults for this particular spreadsheet, change as desired */ | |
var DEFAULT_FORMAT = FORMAT_PRETTY; | |
var DEFAULT_LANGUAGE = LANGUAGE_JS; | |
var DEFAULT_STRUCTURE = STRUCTURE_LIST; | |
function onOpen() { | |
var ss = SpreadsheetApp.getActiveSpreadsheet(); | |
var menuEntries = [ | |
{name: "Export JSON for this sheet", functionName: "exportSheet"}, | |
{name: "Export JSON for all sheets", functionName: "exportAllSheets"} | |
]; | |
ss.addMenu("Export JSON", menuEntries); | |
} | |
function makeLabel(app, text, id) { | |
var lb = app.createLabel(text); | |
if (id) lb.setId(id); | |
return lb; | |
} | |
function makeListBox(app, name, items) { | |
var listBox = app.createListBox().setId(name).setName(name); | |
listBox.setVisibleItemCount(1); | |
var cache = CacheService.getPublicCache(); | |
var selectedValue = cache.get(name); | |
Logger.log(selectedValue); | |
for (var i = 0; i < items.length; i++) { | |
listBox.addItem(items[i]); | |
if (items[1] == selectedValue) { | |
listBox.setSelectedIndex(i); | |
} | |
} | |
return listBox; | |
} | |
function makeButton(app, parent, name, callback) { | |
var button = app.createButton(name); | |
app.add(button); | |
var handler = app.createServerClickHandler(callback).addCallbackElement(parent);; | |
button.addClickHandler(handler); | |
return button; | |
} | |
function makeTextBox(app, name) { | |
var textArea = app.createTextArea().setWidth('100%').setHeight('200px').setId(name).setName(name); | |
return textArea; | |
} | |
function exportAllSheets(e) { | |
var ss = SpreadsheetApp.getActiveSpreadsheet(); | |
var sheets = ss.getSheets(); | |
var sheetsData = {}; | |
for (var i = 0; i < sheets.length; i++) { | |
var sheet = sheets[i]; | |
var rowsData = getRowsData_(sheet, getExportOptions(e)); | |
var sheetName = sheet.getName(); | |
sheetsData[sheetName] = rowsData; | |
} | |
var json = makeJSON_(sheetsData, getExportOptions(e)); | |
displayText_(json); | |
} | |
function exportSheet(e) { | |
var ss = SpreadsheetApp.getActiveSpreadsheet(); | |
var sheet = ss.getActiveSheet(); | |
var rowsData = getRowsData_(sheet, getExportOptions(e)); | |
var json = makeJSON_(rowsData, getExportOptions(e)); | |
displayText_(json); | |
} | |
function getExportOptions(e) { | |
var options = {}; | |
options.language = e && e.parameter.language || DEFAULT_LANGUAGE; | |
options.format = e && e.parameter.format || DEFAULT_FORMAT; | |
options.structure = e && e.parameter.structure || DEFAULT_STRUCTURE; | |
var cache = CacheService.getPublicCache(); | |
cache.put('language', options.language); | |
cache.put('format', options.format); | |
cache.put('structure', options.structure); | |
Logger.log(options); | |
return options; | |
} | |
function makeJSON_(object, options) { | |
//Add comma separated array handler | |
var obj, o; | |
for (var i = 0; i < object.length; i++) { | |
obj = object[i]; | |
if (obj) { | |
for (prop in obj) { | |
o = obj[prop].toString(); | |
if (o && o.indexOf(',') > -1) { | |
object[i][prop] = o.split(','); | |
} | |
} | |
} | |
} | |
if (options.format == FORMAT_PRETTY) { | |
var jsonString = JSON.stringify(object, null, 4); | |
} else if (options.format == FORMAT_MULTILINE) { | |
var jsonString = Utilities.jsonStringify(object); | |
jsonString = jsonString.replace(/},/gi, '},\n'); | |
jsonString = prettyJSON.replace(/":\[{"/gi, '":\n[{"'); | |
jsonString = prettyJSON.replace(/}\],/gi, '}],\n'); | |
} else { | |
var jsonString = Utilities.jsonStringify(object); | |
} | |
if (options.language == LANGUAGE_PYTHON) { | |
// add unicode markers | |
jsonString = jsonString.replace(/"([a-zA-Z]*)":\s+"/gi, '"$1": u"'); | |
} | |
return jsonString; | |
} | |
function displayText_(text) { | |
var output = HtmlService.createHtmlOutput("<textarea style='width:100%;' rows='20'>" + text + "</textarea>"); | |
output.setWidth(400) | |
output.setHeight(300); | |
SpreadsheetApp.getUi() | |
.showModalDialog(output, 'Exported JSON'); | |
} | |
// 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, options) { | |
var headersRange = sheet.getRange(1, 1, sheet.getFrozenRows(), sheet.getMaxColumns()); | |
var headers = headersRange.getValues()[0]; | |
var dataRange = sheet.getRange(sheet.getFrozenRows()+1, 1, sheet.getMaxRows(), sheet.getMaxColumns()); | |
var objects = getObjects_(dataRange.getValues(), normalizeHeaders_(headers)); | |
if (options.structure == STRUCTURE_HASH) { | |
var objectsById = {}; | |
objects.forEach(function(object) { | |
objectsById[object.id] = object; | |
}); | |
return objectsById; | |
} else { | |
return objects; | |
} | |
} | |
// getColumnsData iterates column by column in the input range and returns an array of objects. | |
// Each object contains all the data for a given column, indexed by its normalized row name. | |
// Arguments: | |
// - sheet: the sheet object that contains the data to be processed | |
// - range: the exact range of cells where the data is stored | |
// - rowHeadersColumnIndex: specifies the column number where the row names are stored. | |
// This argument is optional and it defaults to the column immediately left of the range; | |
// Returns an Array of objects. | |
function getColumnsData_(sheet, range, rowHeadersColumnIndex) { | |
rowHeadersColumnIndex = rowHeadersColumnIndex || range.getColumnIndex() - 1; | |
var headersTmp = sheet.getRange(range.getRow(), rowHeadersColumnIndex, range.getNumRows(), 1).getValues(); | |
var headers = normalizeHeaders_(arrayTranspose_(headersTmp)[0]); | |
return getObjects(arrayTranspose_(range.getValues()), 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'; | |
} | |
// Given a JavaScript 2d Array, this function returns the transposed table. | |
// Arguments: | |
// - data: JavaScript 2d Array | |
// Returns a JavaScript 2d Array | |
// Example: arrayTranspose([[1,2,3],[4,5,6]]) returns [[1,4],[2,5],[3,6]]. | |
function arrayTranspose_(data) { | |
if (data.length == 0 || data[0].length == 0) { | |
return null; | |
} | |
var ret = []; | |
for (var i = 0; i < data[0].length; ++i) { | |
ret.push([]); | |
} | |
for (var i = 0; i < data.length; ++i) { | |
for (var j = 0; j < data[i].length; ++j) { | |
ret[j][i] = data[i][j]; | |
} | |
} | |
return ret; | |
} |
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