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- /**
- * Retrieves all the rows in the active spreadsheet that contain data and logs the
- * values for each row.
- * For more information on using the Spreadsheet API, see
- * https://developers.google.com/apps-script/service_spreadsheet
- */
- function readRows() {
- var sheet = SpreadsheetApp.getActiveSheet();
- var rows = sheet.getDataRange();
- var numRows = rows.getNumRows();
- var values = rows.getValues();
- for (var i = 0; i <= numRows - 1; i++) {
- var row = values[i];
- Logger.log(row);
- }
- };
- /**
- * Adds a custom menu to the active spreadsheet, containing a single menu item
- * for invoking the readRows() function specified above.
- * The onOpen() function, when defined, is automatically invoked whenever the
- * spreadsheet is opened.
- * For more information on using the Spreadsheet API, see
- * https://developers.google.com/apps-script/service_spreadsheet
- */
- function onOpen() {
- var sheet = SpreadsheetApp.getActiveSpreadsheet();
- var entries = [{
- name : "Read Data",
- functionName : "readRows"
- }];
- sheet.addMenu("Script Center Menu", entries);
- };
- /*====================================================================================================================================*
- ImportJSON by Trevor Lohrbeer (@FastFedora)
- ====================================================================================================================================
- Version: 1.1
- Project Page: http://blog.fastfedora.com/projects/import-json
- Copyright: (c) 2012 by Trevor Lohrbeer
- License: GNU General Public License, version 3 (GPL-3.0)
- http://www.opensource.org/licenses/gpl-3.0.html
- ------------------------------------------------------------------------------------------------------------------------------------
- A library for importing JSON feeds into Google spreadsheets. Functions include:
- ImportJSON For use by end users to import a JSON feed from a URL
- ImportJSONAdvanced For use by script developers to easily extend the functionality of this library
- Future enhancements may include:
- - Support for a real XPath like syntax similar to ImportXML for the query parameter
- - Support for OAuth authenticated APIs
- Or feel free to write these and add on to the library yourself!
- ------------------------------------------------------------------------------------------------------------------------------------
- Changelog:
- 1.1 Added support for the noHeaders option
- 1.0 Initial release
- *====================================================================================================================================*/
- /**
- * Imports a JSON feed and returns the results to be inserted into a Google Spreadsheet. The JSON feed is flattened to create
- * a two-dimensional array. The first row contains the headers, with each column header indicating the path to that data in
- * the JSON feed. The remaining rows contain the data.
- *
- * By default, data gets transformed so it looks more like a normal data import. Specifically:
- *
- * - Data from parent JSON elements gets inherited to their child elements, so rows representing child elements contain the values
- * of the rows representing their parent elements.
- * - Values longer than 256 characters get truncated.
- * - Headers have slashes converted to spaces, common prefixes removed and the resulting text converted to title case.
- *
- * To change this behavior, pass in one of these values in the options parameter:
- *
- * noInherit: Don't inherit values from parent elements
- * noTruncate: Don't truncate values
- * rawHeaders: Don't prettify headers
- * noHeaders: Don't include headers, only the data
- * debugLocation: Prepend each value with the row & column it belongs in
- *
- * For example:
- *
- * =ImportJSON("http://gdata.youtube.com/feeds/api/standardfeeds/most_popular?v=2&alt=json", "/feed/entry/title,/feed/entry/content",
- * "noInherit,noTruncate,rawHeaders")
- *
- * @param {url} the URL to a public JSON feed
- * @param {query} a comma-separated lists of paths to import. Any path starting with one of these paths gets imported.
- * @param {options} a comma-separated list of options that alter processing of the data
- *
- * @return a two-dimensional array containing the data, with the first row containing headers
- * @customfunction
- **/
- function ImportJSON(url, query, options) {
- return ImportJSONAdvanced(url, query, options, includeXPath_, defaultTransform_);
- }
- /**
- * An advanced version of ImportJSON designed to be easily extended by a script. This version cannot be called from within a
- * spreadsheet.
- *
- * Imports a JSON feed and returns the results to be inserted into a Google Spreadsheet. The JSON feed is flattened to create
- * a two-dimensional array. The first row contains the headers, with each column header indicating the path to that data in
- * the JSON feed. The remaining rows contain the data.
- *
- * Use the include and transformation functions to determine what to include in the import and how to transform the data after it is
- * imported.
- *
- * For example:
- *
- * =ImportJSON("http://gdata.youtube.com/feeds/api/standardfeeds/most_popular?v=2&alt=json",
- * "/feed/entry",
- * function (query, path) { return path.indexOf(query) == 0; },
- * function (data, row, column) { data[row][column] = data[row][column].toString().substr(0, 100); } )
- *
- * In this example, the import function checks to see if the path to the data being imported starts with the query. The transform
- * function takes the data and truncates it. For more robust versions of these functions, see the internal code of this library.
- *
- * @param {url} the URL to a public JSON feed
- * @param {query} the query passed to the include function
- * @param {options} a comma-separated list of options that may alter processing of the data
- * @param {includeFunc} a function with the signature func(query, path, options) that returns true if the data element at the given path
- * should be included or false otherwise.
- * @param {transformFunc} a function with the signature func(data, row, column, options) where data is a 2-dimensional array of the data
- * and row & column are the current row and column being processed. Any return value is ignored. Note that row 0
- * contains the headers for the data, so test for row==0 to process headers only.
- *
- * @return a two-dimensional array containing the data, with the first row containing headers
- **/
- function ImportJSONAdvanced(url, query, options, includeFunc, transformFunc) {
- var jsondata = UrlFetchApp.fetch(url);
- var object = JSON.parse(jsondata.getContentText());
- return parseJSONObject_(object, query, options, includeFunc, transformFunc);
- }
- /**
- * Encodes the given value to use within a URL.
- *
- * @param {value} the value to be encoded
- *
- * @return the value encoded using URL percent-encoding
- */
- function URLEncode(value) {
- return encodeURIComponent(value.toString());
- }
- /**
- * Parses a JSON object and returns a two-dimensional array containing the data of that object.
- */
- function parseJSONObject_(object, query, options, includeFunc, transformFunc) {
- var headers = new Array();
- var data = new Array();
- if (query && !Array.isArray(query) && query.toString().indexOf(",") != -1) {
- query = query.toString().split(",");
- }
- if (options) {
- options = options.toString().split(",");
- }
- parseData_(headers, data, "", 1, object, query, options, includeFunc);
- parseHeaders_(headers, data);
- transformData_(data, options, transformFunc);
- return hasOption_(options, "noHeaders") ? (data.length > 1 ? data.slice(1) : new Array()) : data;
- }
- /**
- * Parses the data contained within the given value and inserts it into the data two-dimensional array starting at the rowIndex.
- * If the data is to be inserted into a new column, a new header is added to the headers array. The value can be an object,
- * array or scalar value.
- *
- * If the value is an object, it's properties are iterated through and passed back into this function with the name of each
- * property extending the path. For instance, if the object contains the property "entry" and the path passed in was "/feed",
- * this function is called with the value of the entry property and the path "/feed/entry".
- *
- * If the value is an array containing other arrays or objects, each element in the array is passed into this function with
- * the rowIndex incremeneted for each element.
- *
- * If the value is an array containing only scalar values, those values are joined together and inserted into the data array as
- * a single value.
- *
- * If the value is a scalar, the value is inserted directly into the data array.
- */
- function parseData_(headers, data, path, rowIndex, value, query, options, includeFunc) {
- var dataInserted = false;
- if (isObject_(value)) {
- for (key in value) {
- if (parseData_(headers, data, path + "/" + key, rowIndex, value[key], query, options, includeFunc)) {
- dataInserted = true;
- }
- }
- } else if (Array.isArray(value) && isObjectArray_(value)) {
- for (var i = 0; i < value.length; i++) {
- if (parseData_(headers, data, path, rowIndex, value[i], query, options, includeFunc)) {
- dataInserted = true;
- rowIndex++;
- }
- }
- } else if (!includeFunc || includeFunc(query, path, options)) {
- // Handle arrays containing only scalar values
- if (Array.isArray(value)) {
- value = value.join();
- }
- // Insert new row if one doesn't already exist
- if (!data[rowIndex]) {
- data[rowIndex] = new Array();
- }
- // Add a new header if one doesn't exist
- if (!headers[path] && headers[path] != 0) {
- headers[path] = Object.keys(headers).length;
- }
- // Insert the data
- data[rowIndex][headers[path]] = value;
- dataInserted = true;
- }
- return dataInserted;
- }
- /**
- * Parses the headers array and inserts it into the first row of the data array.
- */
- function parseHeaders_(headers, data) {
- data[0] = new Array();
- for (key in headers) {
- data[0][headers[key]] = key;
- }
- }
- /**
- * Applies the transform function for each element in the data array, going through each column of each row.
- */
- function transformData_(data, options, transformFunc) {
- for (var i = 0; i < data.length; i++) {
- for (var j = 0; j < data[i].length; j++) {
- transformFunc(data, i, j, options);
- }
- }
- }
- /**
- * Returns true if the given test value is an object; false otherwise.
- */
- function isObject_(test) {
- return Object.prototype.toString.call(test) === '[object Object]';
- }
- /**
- * Returns true if the given test value is an array containing at least one object; false otherwise.
- */
- function isObjectArray_(test) {
- for (var i = 0; i < test.length; i++) {
- if (isObject_(test[i])) {
- return true;
- }
- }
- return false;
- }
- /**
- * Returns true if the given query applies to the given path.
- */
- function includeXPath_(query, path, options) {
- if (!query) {
- return true;
- } else if (Array.isArray(query)) {
- for (var i = 0; i < query.length; i++) {
- if (applyXPathRule_(query[i], path, options)) {
- return true;
- }
- }
- } else {
- return applyXPathRule_(query, path, options);
- }
- return false;
- };
- /**
- * Returns true if the rule applies to the given path.
- */
- function applyXPathRule_(rule, path, options) {
- return path.indexOf(rule) == 0;
- }
- /**
- * By default, this function transforms the value at the given row & column so it looks more like a normal data import. Specifically:
- *
- * - Data from parent JSON elements gets inherited to their child elements, so rows representing child elements contain the values
- * of the rows representing their parent elements.
- * - Values longer than 256 characters get truncated.
- * - Values in row 0 (headers) have slashes converted to spaces, common prefixes removed and the resulting text converted to title
- * case.
- *
- * To change this behavior, pass in one of these values in the options parameter:
- *
- * noInherit: Don't inherit values from parent elements
- * noTruncate: Don't truncate values
- * rawHeaders: Don't prettify headers
- * debugLocation: Prepend each value with the row & column it belongs in
- */
- function defaultTransform_(data, row, column, options) {
- if (!data[row][column]) {
- if (row < 2 || hasOption_(options, "noInherit")) {
- data[row][column] = "";
- } else {
- data[row][column] = data[row-1][column];
- }
- }
- if (!hasOption_(options, "rawHeaders") && row == 0) {
- if (column == 0 && data[row].length > 1) {
- removeCommonPrefixes_(data, row);
- }
- data[row][column] = toTitleCase_(data[row][column].toString().replace(/[\/\_]/g, " "));
- }
- if (!hasOption_(options, "noTruncate") && data[row][column]) {
- data[row][column] = data[row][column].toString().substr(0, 256);
- }
- if (hasOption_(options, "debugLocation")) {
- data[row][column] = "[" + row + "," + column + "]" + data[row][column];
- }
- }
- /**
- * If all the values in the given row share the same prefix, remove that prefix.
- */
- function removeCommonPrefixes_(data, row) {
- var matchIndex = data[row][0].length;
- for (var i = 1; i < data[row].length; i++) {
- matchIndex = findEqualityEndpoint_(data[row][i-1], data[row][i], matchIndex);
- if (matchIndex == 0) {
- return;
- }
- }
- for (var i = 0; i < data[row].length; i++) {
- data[row][i] = data[row][i].substring(matchIndex, data[row][i].length);
- }
- }
- /**
- * Locates the index where the two strings values stop being equal, stopping automatically at the stopAt index.
- */
- function findEqualityEndpoint_(string1, string2, stopAt) {
- if (!string1 || !string2) {
- return -1;
- }
- var maxEndpoint = Math.min(stopAt, string1.length, string2.length);
- for (var i = 0; i < maxEndpoint; i++) {
- if (string1.charAt(i) != string2.charAt(i)) {
- return i;
- }
- }
- return maxEndpoint;
- }
- /**
- * Converts the text to title case.
- */
- function toTitleCase_(text) {
- if (text == null) {
- return null;
- }
- return text.replace(/\w\S*/g, function(word) { return word.charAt(0).toUpperCase() + word.substr(1).toLowerCase(); });
- }
- /**
- * Returns true if the given set of options contains the given option.
- */
- function hasOption_(options, option) {
- return options && options.indexOf(option) >= 0;
- }
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