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1231 lines
36 KiB
JavaScript
1231 lines
36 KiB
JavaScript
/**
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* @name CeL function for Comma-separated values (CSV) and tab-separated values
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* (TSV) data
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* @fileoverview 本檔案包含了處理 CSV, TSV data 的 functions。 TODO: delimiter-separated
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* values (DSV)
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* @since
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*/
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'use strict';
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// 'use asm';
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// --------------------------------------------------------------------------------------------
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// 不採用 if 陳述式，可以避免 Eclipse JSDoc 與 format 多縮排一層。
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typeof CeL === 'function' && CeL.run({
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// module name
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name : 'data.CSV',
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// require : '',
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// 設定不匯出的子函式。
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// no_extend : '*',
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// 為了方便格式化程式碼，因此將 module 函式主體另外抽出。
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code : module_code
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});
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function module_code(library_namespace) {
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// nothing required
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/**
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* null module constructor
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*
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* @class CSV data 的 functions
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*/
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var _// JSDT:_module_
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= function() {
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// null module constructor
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};
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/**
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* for JSDT: 有 prototype 才會將之當作 Class
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*/
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_// JSDT:_module_
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.prototype = {};
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// ----------------------------------------------------------------------------------------------------------------------------------------------------------//
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/**
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* default config/設定/選項/options/flag.
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*/
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var default_config = {
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/**
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* {Boolean} is there a title line? (TODO: Should use has_header)
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*/
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has_title : false,
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/**
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* {Boolean} 是否將 [0] 設定為第一筆資料。若為 true，則 [0] 為 title。
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*/
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skip_title : false,
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// data[title_word]=title row array
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title_word : 'title',
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// data[title_index_word]={title:column index}
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title_index_word : 'index',
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/**
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* {Integer} 將每筆資料依 title column index 存成 Object。<br />
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* 設定之後 table = {title_name: [row data]}
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*/
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to_Object : undefined,
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/**
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* {Boolean} 如何存每筆資料。<br />
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* select_column=true<br />
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* 設定之後 data[row index] = {title_name: data}<br />
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* TODO:<br />
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* select_column=column_index<br />
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* select_column=[column_index]<br />
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* select_column={title_name:column_index}<br />
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* select_column={title_index:column_index}<br />
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*/
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select_column : false,
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// table[row index][column index] 將以 handle_array[column index] 預先處理。
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handle_array : undefined,
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// 處理 every row。row = handle_row(row, row_count);
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handle_row : undefined,
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// bool|'auto'
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/**
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* {Boolean} 是否使用 text delimiter。<br />
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* for to_CSV_String()，表示是否強制加上 text delimiter。
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*/
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no_text_qualifier : 'auto',
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/**
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* {String} 欄位文字辨識符號。<br />
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* Excel 之 Unicode 文字輸出不包括 "'"。<br />
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* //text_qualifier : '"\'',
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*/
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text_qualifier : '"',
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/**
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* {String} 欄位分隔符號。<br />
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* adding ';:\\s'
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*/
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field_delimiter : '\t,',
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/**
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* {String} row delimiter (row 分隔符號) / record delimiters: usually only
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* \n.<br />
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* '\r' will be replaced to '\n' and will ignored!
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*/
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line_separator : '\n',
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/**
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* {Number} 僅取首起之筆數
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*/
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row_limit : undefined
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};
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// ----------------------------------------------------------------------------------------------------------------------------------------------------------//
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/**
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* parse Comma-separated values/Delimiter-separated values data.<br />
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* 讀入 CSV 檔。<br />
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* TODO:<br />
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* mix data. e.g., [data 1, data 2, "data 3", data 4]<br />
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* 可一筆一筆處理，不佔記憶體。<br />
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* DoEvents
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*
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* @param {String}data
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* CSV text data
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* @param {Object}config
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* 自訂設定/選項。 see parse_CSV.config.
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*
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* @return {Array} data array = [<br />
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* [R1F1,R1F2,... ],<br />
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* [R2F1,R2F2,... ],<br />
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* ... ]
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*
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* @_memberOf _module_
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*
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* @example <code>
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// to use:
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CeL.run('data.CSV',function(){ 'code' ;});
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var data=parse_CSV('data');
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//data[_line_][_field_]
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// there's a title line:
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var data = parse_CSV('data',{has_title:true});
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//data[_line_][data.t[_title_]]
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// then:
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data[title_word] = {title_field_name : field number of title};
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data.title_array = [title_field_name];
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data.it = ignored title array
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data[num] = the num-th line (num: 0,1,2,..)
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// More examples: see /_test suite/test.js
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* </code>
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*
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* @see <a href="http://www.jsdb.org/" accessdate="2010/1/1 0:53">JSDB:
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* JavaScript for databases</a>,<br />
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* <a
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* href="http://hax.pie4.us/2009/05/lesson-of-regexp-50x-faster-with-just.html"
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* accessdate="2010/1/1 0:53">John Hax: A lesson of RegExp: 50x faster
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* with just one line patch</a>,<br />
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* http://misoproject.com/dataset/
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*
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* @since 2012/4/2 15:26:06 重寫 parse_CSV()，功能加強。效能恐降低。
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*/
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function parse_CSV(data, config) {
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if (!data || !/[^\n]/.test(data = ('' + data).replace(/\r\n?/g, '\n')))
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return;
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var tmp, table = [], row = [], matched, value, max_column_count, min_column_count,
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// 自訂設定
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config = new library_namespace.setting_pair({}, parse_CSV.config,
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config),
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// cache
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data_length = data.length,
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to_Object = parseInt(config('to_Object')),
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// cache
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select_column = config('select_column'), title_row_for_Object,
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// cache
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title_row_for_Object_length, column_count = 0, title_passed,
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row_count = 0, row_limit = config('row_limit'),
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auto_text_qualifier, field_pattern = [ '(.*?)' ], text_qualifier = config('text_qualifier'), text_qualifier_replace_from, last_index_of_data = 0, handle_array = config('handle_array'), handle_row = config('handle_row'), has_title = config('has_title'), preserve_blank_row = config('preserve_blank_row'),
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// 設定 title.
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set_title = function(row) {
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if (has_title && row
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// && to_Object === undefined
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) {
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if (typeof config('title_word') === 'string') {
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table[config('title_word')] = row;
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}
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if (typeof config('title_index_word') === 'string') {
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var i, j = table[config('title_index_word')] = {};
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for (i in row) {
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j[row[i]] = +i;
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}
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}
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}
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set_title = undefined;
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};
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function add_row(row) {
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var use_row;
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// 包含 title 與末列(undefined)皆會被傳入。
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if (!handle_row
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|| (use_row = handle_row(row, row_count)) === undefined)
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use_row = row;
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if (title_passed || !has_title || !config('skip_title')) {
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if (isNaN(to_Object)) {
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// 去除空白列，包括檔尾。
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if (column_count > 0 || preserve_blank_row) {
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table.push(use_row);
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row_count++;
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} else if (library_namespace.is_debug()) {
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library_namespace.warn('parse_CSV: 空白列 @ record '
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+ row_count + '('
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+ library_namespace.is_type(row) + ')');
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}
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} else if (title_row_for_Object) {
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var column_index = title_row_for_Object[to_Object];
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if (column_index in row) {
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if (row[column_index] in table) {
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library_namespace
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.warn('parse_CSV: conflict record name: ['
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+ row[column_index] + '], index: '
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+ column_index);
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}
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table[row[column_index]] = use_row;
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row_count++;
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}
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} else if (to_Object in row) {
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table[row[to_Object]] = use_row;
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row_count++;
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}
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}
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}
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if (isNaN(row_limit))
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row_limit = undefined;
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if (isNaN(to_Object))
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to_Object = undefined;
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else {
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table = {};
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// 既然指定 to_Object，蘊含應當有 title。
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has_title = true;
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config('skip_title', true);
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}
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if (select_column !== undefined && select_column !== false) {
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library_namespace.debug('select_column: ' + select_column, 2,
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'parse_CSV');
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if (Array.isArray(select_column)) {
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title_row_for_Object = select_column;
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// cache
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title_row_for_Object_length = title_row_for_Object.length;
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row = {};
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} else {
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// 既然指定 select_column，蘊含應當有 title。
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has_title = true;
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}
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}
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if (!Array.isArray(handle_array)
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&& (!select_column || !library_namespace
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.is_Object(handle_array)))
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handle_array = undefined;
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library_namespace
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.debug('handle_array: ' + handle_array, 2, 'parse_CSV');
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if (typeof handle_row !== 'function')
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handle_row = undefined;
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if (typeof config('no_text_qualifier') === 'undefined') {
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if (matched = data.match(new RegExp('[^' + config('line_separator')
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+ ']+'))) {
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matched = matched[0];
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matched = (new RegExp('^[' + text_qualifier + ']'))
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.test(matched)
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&& (new RegExp('[' + text_qualifier + ']$'))
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.test(matched);
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library_namespace.debug('auto detect: '
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+ (matched ? 'using' : 'no') + ' text_qualifier.', 1,
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'parse_CSV');
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config('no_text_qualifier', !matched);
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}
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} else if (config('no_text_qualifier') === 'auto' && text_qualifier) {
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auto_text_qualifier = true;
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}
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// build field pattern
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if (!config('no_text_qualifier') && text_qualifier) {
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// e.g., /(.*?)["']((?:[^"']|["']{2})*)["'](?:[\t,]|([\n]))?/g .
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field_pattern.push(
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// ["']
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'[', text_qualifier, ']',
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// ((?:[^"']|["']{2})*)
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'((?:[^', text_qualifier, ']|[', text_qualifier, ']{2})*)',
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// ["']
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'[', text_qualifier, ']');
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} else if (auto_text_qualifier) {
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// 對**每個** column 都作偵測。
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// e.g.,
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// /(.*?)(?:["']((?:[^"']|["']{2})*)["']|[^\t,\n]*)(?:[\t,]|([\n]))?/g
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// .
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field_pattern.push('(?:',
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// ["']
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'[', text_qualifier, ']',
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// ((?:[^"']|["']{2})*)
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'((?:[^', text_qualifier, ']|[', text_qualifier, ']{2})*)',
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// ["']
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'[', text_qualifier, ']',
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// |: 無 text qualifier 的部分。
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'|',
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// 無 text qualifier 的部分。
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'(',
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// [^\t,\n]*
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'[^', config('field_delimiter'), config('line_separator'), ']*',
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// ending of 無 text qualifier 的部分。
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')',
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// ending
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')');
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} else {
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text_qualifier = '';
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// e.g., /(.*?)([^\t,\n]*)(?:[\t,]|([\n]))?/g .
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field_pattern.push(
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// 無 text qualifier 的部分。
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'(',
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// [^\t,\n]*
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'[^', config('field_delimiter'), config('line_separator'), ']*',
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// ending of 無 text qualifier 的部分。
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')');
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}
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field_pattern.push('(?:[', config('field_delimiter'), ']|([',
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config('line_separator'), ']))?');
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field_pattern = new RegExp(field_pattern.join(''), 'g');
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if (text_qualifier)
|
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// e.g., /(["']){2}/g
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text_qualifier_replace_from = new RegExp('([' + text_qualifier
|
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+ ']){2}', 'g');
|
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library_namespace.debug('use field pattern: ' + field_pattern, 2,
|
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'parse_CSV');
|
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|
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// main loop
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while (last_index_of_data < data_length
|
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&& (matched = field_pattern.exec(data))) {
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last_index_of_data = field_pattern.lastIndex;
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// matched = [fill pattern, extra(error?), field data[, field data],
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// line separator]
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library_namespace.debug(last_index_of_data + '/' + data_length
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+ ' ' + row_count + '<br />' + matched.join('<br />→ '), 4,
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'parse_CSV');
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|
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if (library_namespace.is_debug() && matched[1]) {
|
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// check if data is valid.
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library_namespace
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.warn('parse_CSV: Cannot parse data (無法辨識的資料): ['
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+ matched[1] + ']');
|
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}
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if (value = matched[2]) {
|
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if (text_qualifier)
|
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value = value.replace(text_qualifier_replace_from, '$1');
|
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} else if (auto_text_qualifier) {
|
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value = matched[3];
|
||
}
|
||
|
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if (handle_array
|
||
&& title_passed
|
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&& typeof (tmp = column_count in handle_array ? handle_array[column_count]
|
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: title_row_for_Object
|
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&& ((tmp = title_row_for_Object[column_count]) in handle_array)
|
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&& handle_array[tmp]) === 'function') {
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library_namespace.debug('handle_array(' + value + ')', 2,
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'parse_CSV');
|
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value = tmp.call(row, value);
|
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}
|
||
|
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if (title_row_for_Object) {
|
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if (column_count < title_row_for_Object_length)
|
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row[title_row_for_Object[column_count]] = value;
|
||
library_namespace.debug('[' + (to_Object === undefined
|
||
//
|
||
|| column_count < to_Object ? row_count
|
||
//
|
||
: row[title_row_for_Object[to_Object]] + '(' + row_count + ')')
|
||
+ '].' + title_row_for_Object[column_count] + ' = ['
|
||
+ value + ']', 3, 'parse_CSV');
|
||
} else {
|
||
row.push(value);
|
||
library_namespace.debug('[' + (to_Object === undefined
|
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//
|
||
|| column_count < to_Object ? row_count
|
||
//
|
||
: row[to_Object] + '(' + row_count + ')') + '][' + column_count
|
||
+ '] = [' + value + ']', 3, 'parse_CSV');
|
||
}
|
||
column_count++;
|
||
|
||
if (matched[auto_text_qualifier ? 4 : 3]) {
|
||
library_namespace.debug('已到行末。', 4, 'parse_CSV');
|
||
if (title_passed) {
|
||
library_namespace.debug('紀錄資料欄數 ' + column_count + '。', 4,
|
||
'parse_CSV');
|
||
if (max_column_count < column_count) {
|
||
max_column_count = column_count;
|
||
} else if (min_column_count > column_count) {
|
||
min_column_count = column_count;
|
||
}
|
||
|
||
} else {
|
||
library_namespace.debug('初始化資料欄數紀錄 ' + column_count + '。',
|
||
4, 'parse_CSV');
|
||
min_column_count = max_column_count = column_count;
|
||
|
||
if (select_column && !title_row_for_Object) {
|
||
set_title(title_row_for_Object = row);
|
||
// cache
|
||
title_row_for_Object_length = title_row_for_Object.length;
|
||
library_namespace.debug(
|
||
'title_row_for_Object_length = '
|
||
+ title_row_for_Object_length, 3,
|
||
'parse_CSV');
|
||
}
|
||
}
|
||
|
||
if (row_limit && row_limit <= row_count)
|
||
break;
|
||
|
||
add_row(row);
|
||
|
||
// 因為 add_row() 要用到 title_passed，因此這邊才設定。
|
||
if (!title_passed)
|
||
title_passed = row;
|
||
|
||
column_count = 0;
|
||
if (title_row_for_Object) {
|
||
row = {};
|
||
} else {
|
||
row = [];
|
||
}
|
||
|
||
}
|
||
}
|
||
// add the last row
|
||
add_row(row);
|
||
|
||
if (library_namespace.is_debug() && last_index_of_data < data_length) {
|
||
library_namespace
|
||
.warn('parse_CSV: Cannot parse data (無法/尚未辨識的資料): ('
|
||
+ (data_length - last_index_of_data) + ')<br />\n['
|
||
+ data.slice(last_index_of_data) + ']');
|
||
}
|
||
if (library_namespace.is_debug()
|
||
&& min_column_count !== max_column_count) {
|
||
library_namespace.warn('parse_CSV: 資料欄數不同: range: '
|
||
+ min_column_count + '－' + max_column_count);
|
||
}
|
||
|
||
if (set_title) {
|
||
// TODO: 自動判別是否有 title。
|
||
set_title(title_passed || row);
|
||
}
|
||
table.max_column_count = max_column_count;
|
||
|
||
if (has_title) {
|
||
Object.assign(table, {
|
||
each : each_record,
|
||
map_key : map_key,
|
||
merge : merge_table
|
||
});
|
||
}
|
||
|
||
return table;
|
||
}
|
||
|
||
parse_CSV.config = default_config;
|
||
|
||
_// JSDT:_module_
|
||
.parse_CSV = parse_CSV;
|
||
|
||
/**
|
||
* @example <code>
|
||
|
||
var table = CeL.parse_CSV('t1 t2' + 'v11 v12' + 'v21 v22', {
|
||
has_title : true
|
||
});
|
||
|
||
table.each(function(get, record, index) {
|
||
console.log(get('t2') + get('t1'));
|
||
});
|
||
// v12v11
|
||
// v22v21
|
||
|
||
console.log(table.map_key(function(get) {
|
||
return get('t2') + get('t1');
|
||
}, true));
|
||
// table.key_to_index = {v12v11 : 1, v22v21 : 2};
|
||
|
||
table.map_key(function key_mapper(get) { });
|
||
table2.map_key(function key_mapper(get) { });
|
||
table.merge_table(table2);
|
||
|
||
|
||
</code>
|
||
*/
|
||
|
||
// type : forEach, some, every, map, ...
|
||
// processor(get_field_value, record, index)
|
||
function each_record(processor, _this, type) {
|
||
var table = this, table_index = this.index, is_set_value = type === true;
|
||
return table
|
||
//
|
||
[!is_set_value && type || 'forEach'](function(record, index) {
|
||
if (/* table.has_title && */index === 0)
|
||
return type === 'every' ? true : undefined;
|
||
|
||
return processor(is_set_value ? function set_field_value(title,
|
||
value) {
|
||
record[table_index[title]] = value;
|
||
} : function get_field_value(title, allow_undefined) {
|
||
var value = record[table_index[title]];
|
||
return allow_undefined ? value : value || '';
|
||
}, record, index);
|
||
}, _this);
|
||
}
|
||
|
||
function map_key(key_mapper, using_index) {
|
||
var key_to_record = {};
|
||
this.each(function(get_field_value, record, index) {
|
||
var key = key_mapper(get_field_value, record, index);
|
||
if (key in key_to_record) {
|
||
library_namespace.error('map_key: Duplicate key [' + key
|
||
+ ']:\n' + key_to_record[key] + '\n→\n' + record);
|
||
}
|
||
|
||
// cache key
|
||
record.key = key;
|
||
// record.index = index;
|
||
key_to_record[key] = using_index ? index : record;
|
||
});
|
||
|
||
this[using_index ? 'key_to_record' : 'key_to_index'] = key_to_record;
|
||
return key_to_record;
|
||
}
|
||
|
||
// 依照欄位標題, key 合併兩資料表格. title_mapper 可選
|
||
// title_mapper[ title of table ] = title of this_table
|
||
function merge_table(table, title_mapper, merge_title_list) {
|
||
var this_table = this;
|
||
// assert: table.has_title && this_table.has_title
|
||
if (!merge_title_list)
|
||
merge_title_list = table.title;
|
||
|
||
// merge_title_list: 僅合併這些標題
|
||
merge_title_list.forEach(function(title) {
|
||
if (!(title in this_table.index)) {
|
||
this_table.index[title] = table.max_column_count;
|
||
this_table.title[table.max_column_count++] = title;
|
||
}
|
||
});
|
||
|
||
table.each(function(get_field_value, record, index) {
|
||
var key = record.key;
|
||
var this_record = this_table.key_to_record[key];
|
||
merge_title_list.forEach(function(title) {
|
||
var value = get_field_value(title, true);
|
||
if (value === undefined)
|
||
return;
|
||
|
||
var this_index = this_table.index[title_mapper[title]]
|
||
|| this_table.index[title],
|
||
//
|
||
old_value = this_record[this_index];
|
||
if (old_value !== undefined && old_value !== value) {
|
||
library_namespace.error('merge_table: "' + key + '"['
|
||
+ title + ']: [' + old_value + '] → [' + value
|
||
+ ']');
|
||
}
|
||
this_record[this_index] = value;
|
||
});
|
||
});
|
||
}
|
||
|
||
// ----------------------------------------------------------------------------------------------------------------------------------------------------------//
|
||
|
||
/**
|
||
* 將 {Array|Object} 依設定轉成 CSV text。<br />
|
||
*
|
||
* @example <code>
|
||
|
||
// More examples: see /_test suite/test.js
|
||
|
||
* </code>
|
||
*
|
||
* @param {Array|Object}CSV_object
|
||
* @param {Object}config
|
||
* 自訂設定/選項。 see to_CSV_String.config.
|
||
*
|
||
* @returns {String} CSV data
|
||
*
|
||
* @see <a href="http://tools.ietf.org/html/rfc4180">Common Format and MIME
|
||
* Type for Comma-Separated Values (CSV) Files</a>
|
||
*
|
||
* @since 2012/4/3 18:26:06 重寫 to_CSV()，改名 to_CSV_String()，功能加強。效能恐降低。
|
||
*/
|
||
function to_CSV_String(CSV_object, config) {
|
||
if (!CSV_object)
|
||
return;
|
||
|
||
var i, l,
|
||
//
|
||
CSV = [],
|
||
// 自訂設定
|
||
config = new library_namespace.setting_pair({}, to_CSV_String.config,
|
||
config),
|
||
//
|
||
field_delimiter = config('field_delimiter'),
|
||
//
|
||
select_column = config('select_column'),
|
||
//
|
||
text_qualifier = config('text_qualifier'),
|
||
// [, text_qualifier ]
|
||
text_qualifier_replace_from = text_qualifier !== undefined
|
||
&& new RegExp('([' + text_qualifier + '])', 'g'),
|
||
//
|
||
text_qualifier_replace_to = '$1$1',
|
||
//
|
||
text_qualifier_tester = text_qualifier !== undefined
|
||
&& new RegExp('[' + text_qualifier + ']'),
|
||
//
|
||
field_replace_from = new RegExp('[' + field_delimiter
|
||
+ config('line_separator') + ']', 'g'),
|
||
//
|
||
field_replace_chars = {
|
||
'\t' : '\\t',
|
||
'\n' : '\\n',
|
||
'\r' : '\\r'
|
||
},
|
||
//
|
||
field_replace_to = function($0) {
|
||
library_namespace.debug('field replace: [' + $0 + ']', 2);
|
||
return ($0 in field_replace_chars) ? field_replace_chars[$0] : '\\'
|
||
+ $0;
|
||
},
|
||
//
|
||
handle_field = config('no_text_qualifier') && text_qualifier ? config('no_text_qualifier') === 'auto' ? function(
|
||
field, i) {
|
||
library_namespace.debug('add field (auto): [' + field + ']', 3);
|
||
if (field === undefined || field === null)
|
||
return '';
|
||
|
||
if (handle_array && (i in handle_array)
|
||
&& typeof handle_array[i] === 'function')
|
||
field = handle_array[i](field);
|
||
|
||
if (typeof field !== 'string')
|
||
field = '' + field;
|
||
return text_qualifier_tester.test(field) ? text_qualifier
|
||
+ field.replace(text_qualifier_replace_from,
|
||
text_qualifier_replace_to) + text_qualifier : field
|
||
.replace(field_replace_from, field_replace_to);
|
||
}
|
||
: function(field, i) {
|
||
library_namespace.debug('add field (no text qualifier): ['
|
||
+ field + ']', 3);
|
||
if (field === undefined || field === null)
|
||
return '';
|
||
|
||
if (handle_array && (i in handle_array)
|
||
&& typeof handle_array[i] === 'function')
|
||
field = handle_array[i](field);
|
||
|
||
if (typeof field !== 'string')
|
||
field = '' + field;
|
||
return field.replace(field_replace_from, field_replace_to);
|
||
}
|
||
: function(field, i) {
|
||
library_namespace.debug('add field (add text qualifier): ['
|
||
+ field + ']', 3);
|
||
if (field === undefined || field === null)
|
||
return text_qualifier + text_qualifier;
|
||
|
||
if (handle_array && (i in handle_array)
|
||
&& typeof handle_array[i] === 'function')
|
||
field = handle_array[i](field);
|
||
|
||
if (typeof field !== 'string')
|
||
field = '' + field;
|
||
return text_qualifier
|
||
+ field.replace(text_qualifier_replace_from,
|
||
text_qualifier_replace_to) + text_qualifier;
|
||
},
|
||
//
|
||
add_row,
|
||
//
|
||
handle_array = config('handle_array'),
|
||
//
|
||
handle_row = config('handle_row'),
|
||
// cache
|
||
select_column_length;
|
||
|
||
if (typeof select_column === 'number'
|
||
|| typeof select_column === 'string')
|
||
select_column = [ select_column ];
|
||
else if (!Array.isArray(select_column))
|
||
select_column = undefined;
|
||
if (select_column)
|
||
select_column_length = select_column.length;
|
||
|
||
if (!Array.isArray(handle_array))
|
||
handle_array = undefined;
|
||
|
||
if (typeof handle_row !== 'function')
|
||
handle_row = undefined;
|
||
|
||
function add_row_by_selectd(row) {
|
||
var i = 0, array = [], index;
|
||
library_namespace.debug('push ' + select_column_length + ' fields',
|
||
2);
|
||
if (handle_row)
|
||
row = handle_row(row, CSV.length);
|
||
for (; i < select_column_length; i++) {
|
||
index = select_column[i];
|
||
if (library_namespace.is_debug() && !(index in row))
|
||
library_namespace.warn('unknown index: [' + index
|
||
+ '] @ record #' + CSV.length);
|
||
array.push(handle_field(row[index], i));
|
||
}
|
||
library_namespace.debug('push selected: ['
|
||
+ array.join(field_delimiter) + ']', 2);
|
||
CSV.push(array.join(field_delimiter));
|
||
}
|
||
|
||
function add_row_by_data(row) {
|
||
var i, l, array = [];
|
||
if (handle_row)
|
||
row = handle_row(row, CSV.length);
|
||
if (Array.isArray(row)) {
|
||
library_namespace.debug('push ' + row.length + ' fields: ['
|
||
+ row + ']', 2);
|
||
for (i = 0, l = row.length; i < l; i++)
|
||
array.push(handle_field(row[i], i));
|
||
} else {
|
||
for (i in row)
|
||
array.push(handle_field(row[i], i));
|
||
}
|
||
library_namespace.debug('push: [' + array.join(field_delimiter)
|
||
+ ']', 2);
|
||
CSV.push(array.join(field_delimiter));
|
||
}
|
||
|
||
add_row = select_column ? add_row_by_selectd : add_row_by_data;
|
||
|
||
library_namespace.debug('select_column: ' + select_column, 2);
|
||
library_namespace.debug('field_delimiter: ' + field_delimiter, 2);
|
||
library_namespace.debug('no_text_qualifier: '
|
||
+ config('no_text_qualifier'), 2);
|
||
library_namespace.debug('text_qualifier_replace_from: '
|
||
+ text_qualifier_replace_from, 2);
|
||
library_namespace.debug('field_replace_from: ' + field_replace_from, 2);
|
||
|
||
if (select_column && config('has_title')) {
|
||
add_row_by_data(select_column);
|
||
}
|
||
|
||
if (Array.isArray(CSV_object)) {
|
||
for (i = 0, l = CSV_object.length; i < l; i++) {
|
||
library_namespace.debug('add []: ' + CSV_object[i], 2);
|
||
add_row(CSV_object[i]);
|
||
}
|
||
|
||
} else if (library_namespace.is_Object(CSV_object)) {
|
||
for (i in CSV_object) {
|
||
library_namespace.debug('add {}: ' + CSV_object[i], 2);
|
||
add_row(CSV_object[i]);
|
||
}
|
||
|
||
} else {
|
||
library_namespace.warn('to_CSV_String: unknown CSV data type: '
|
||
+ CSV_object);
|
||
return;
|
||
}
|
||
|
||
return CSV.join(config('line_separator'));
|
||
}
|
||
|
||
to_CSV_String.config = (new library_namespace.setting_pair({},
|
||
default_config, {
|
||
title_array : undefined,
|
||
no_text_qualifier : false,
|
||
text_qualifier : '"',
|
||
field_delimiter : ',',
|
||
line_separator : library_namespace.env.line_separator
|
||
}))({});
|
||
|
||
_// JSDT:_module_
|
||
.to_CSV_String = to_CSV_String;
|
||
|
||
// ----------------------------------------------------------------------------------------------------------------------------------------------------------//
|
||
|
||
function speedy_TSV(data, field_delimiter, text_qualifier) {
|
||
data = data.split(text_qualifier || /\r?\n/);
|
||
|
||
if (!field_delimiter)
|
||
field_delimiter = '\t';
|
||
|
||
for (var i = 0, length = data.length; i < length; i++)
|
||
data[i] = data[i].split(field_delimiter);
|
||
|
||
return data;
|
||
}
|
||
|
||
speedy_TSV.to_TSV = function(data, field_delimiter) {
|
||
for (var i = 0, length = data.length; i < length; i++)
|
||
data[i] = data[i].join(field_delimiter || '\t');
|
||
|
||
return data;
|
||
};
|
||
|
||
_.speedy_TSV = speedy_TSV;
|
||
|
||
// ----------------------------------------------------------------------------------------------------------------------------------------------------------//
|
||
|
||
/**
|
||
* @example <code>
|
||
|
||
http://hax.pie4.us/2009/05/lesson-of-regexp-50x-faster-with-just.html
|
||
GetKeywords: function(str) {
|
||
o: return '\\b(' + str.replace(/\s+/g, '|') + ')\\b';
|
||
x: return '\\b' + str.replace(/\s+/g, '\\b|\\b') + '\\b';
|
||
},
|
||
|
||
|
||
http://www.jsdb.org/
|
||
jsdb.from_array
|
||
jsdb.from_CSV
|
||
jsdb.from_CSV_file
|
||
jsdb.select=function(
|
||
field // [1,0,1,1,1] || '1010100' || 'a,b,c,d' || {a:0,b:1,c:1}
|
||
,where // function(o={a:,b:,c:}){..;return select;} || {a:3} || {a:function(a){..;return select;}} || {a://} || {op:'a&&b||c',a:[3,4,6,11],b:[4,5,6],c:32}
|
||
)
|
||
jsdb.concat(table1, table2, id filed/[id fileds] = auto detect)
|
||
jsdb.from_HTML_TABLE(data,for_every_cell)
|
||
jsdb.transpose // 轉置
|
||
jsdb.to_CSV
|
||
jsdb.to_HTML_TABLE
|
||
jsdb.to_array(row_first)
|
||
jsdb.to_object(row_first)
|
||
|
||
</code>
|
||
*/
|
||
|
||
/**
|
||
* parse CSV data to JSON 讀入 CSV 檔
|
||
*
|
||
* @deprecated 廢棄/棄用: use parse_CSV() instead.
|
||
* @param {String}
|
||
* _t CSV text data
|
||
* @param {Boolean}
|
||
* doCheck check if data is valid
|
||
* @param {Boolean}
|
||
* has_title there's a title line
|
||
* @return {Array} [ [ L1_1, L1_2, ... ], [ L2_1, L2_2, ... ], ... ]
|
||
* @_memberOf _module_
|
||
* @example <code>
|
||
|
||
// to use:
|
||
var data=parse_CSV('~');
|
||
data[_line_][_field_]
|
||
|
||
// has_title:
|
||
var data = parse_CSV('~',0,1);
|
||
//data[_line_][data.t[_title_]]
|
||
|
||
// then:
|
||
data.tA = title line
|
||
data.t[_field_name_] = field number of title
|
||
data.it = ignored title array
|
||
data[num] = the num-th line (num: 0,1,2,..)
|
||
|
||
* </code>
|
||
*
|
||
* @see <a href="http://www.jsdb.org/" accessdate="2010/1/1 0:53">JSDB:
|
||
* JavaScript for databases</a>, <a
|
||
* href="http://hax.pie4.us/2009/05/lesson-of-regexp-50x-faster-with-just.html"
|
||
* accessdate="2010/1/1 0:53">John Hax: A lesson of RegExp: 50x faster
|
||
* with just one line patch</a>
|
||
*/
|
||
function old_parse_CSV(_t, doCheck, has_title) {
|
||
if (!_t || !/[^\n]/.test(_t = _t.replace(/\r\n?/g, '\n')))
|
||
return;
|
||
// _t+=_t.slice(-1)!='\n\n'?'\n':'\n';//if(_t.slice(-1)!='\n')_t+='\n';//if(!/\n/.test(_t))_t+='\n';
|
||
// // 後面一定要[\n]是bug?
|
||
|
||
var _f = old_parse_CSV, _r = [], _a, _b = {}, _i = 0, _m = _f.fd,
|
||
|
||
/**
|
||
* <code>
|
||
Here is a workaround for Opera 10.00 alpha build 1139 bug
|
||
|
||
'\u10a0'.match(/[^\u10a1]+/)
|
||
and
|
||
'\u10a0'.match(/[^"]+/)
|
||
gives different result.
|
||
The latter should '\u10a0' but it gives null.
|
||
|
||
But
|
||
'\u10a0'.match(/[^"\u109a]+/)
|
||
works.
|
||
|
||
</code>
|
||
*/
|
||
c = '\u10a0'.match(/[^"]+/) ? '' : '\u109a';
|
||
|
||
_m = '((|[^' + _f.text_qualifier + _m
|
||
// +c: for Opera bug
|
||
+ c + '\\n][^' + _m
|
||
// +c: for Opera bug
|
||
+ c + '\\n]*';
|
||
|
||
for (; _i <
|
||
// 這裡不加 _f.text_qualifier 可以 parse 更多狀況
|
||
_f.text_qualifier.length; _i++) {
|
||
_a = _f.text_qualifier.charAt(_i);
|
||
_b[_a] = new RegExp(_a + _a, 'g');
|
||
_m += '|' + _a + '(([^' + _a
|
||
// +c: for Opera bug
|
||
+ c
|
||
// 不用 [^'+_a+']+| 快很多
|
||
+ ']|' + _a + _a + '|\\n)*)' + _a;
|
||
}
|
||
_m += ')[' + _f.fd + '\\n])';
|
||
/**
|
||
* <code>
|
||
_m=
|
||
'((|[^\'"'+_m+'\\n][^'+_m+'\\n]*|"((""|[^"]|\\n)*)"|\'((\'\'|[^\']|\\n)*)\')['+_m+'\\n])'
|
||
'((|[^\'"'+_m+'\\n$][^'+_m+'\\n$]*|"((""|[^"]|\\n)*)"|\'((\'\'|[^\']|\\n)*)\')['+_m+'\\n$])'
|
||
_a='((|[^"\''+_f.fd+'\\n][^'+_f.fd+'\\n]*|"((""|[^"]|\\n)*)"|\'((\'\'|[^\']|\\n)*)\')['+_f.fd+'\\n])',alert(_m+'\n'+_a+'\n'+(_m==_a));
|
||
</code>
|
||
*/
|
||
if (false) {
|
||
alert('now:\n'
|
||
+ new RegExp(_m, 'g').source
|
||
+ '\n\nfull:\n'
|
||
+ /((|[^'",;\t\n$][^,;\t\n$]*|'((''|[^']|\n)*)'|"((""|[^"]|\n)*)")[,;\t\n$])/.source);
|
||
}
|
||
if (doCheck
|
||
&& !new RegExp('^(' + _m + ')+$')
|
||
.test(_t.slice(-1) === '\n' ? _t : _t + '\n'))
|
||
throw new Error(1, "parse_CSV(): Can't parse data!\npattern: /^"
|
||
+ _m + "$/g");
|
||
|
||
for (_a = [], _i = 0, _m = (_t.slice(-1) === '\n' ? _t : _t + '\n')
|
||
.match(new RegExp(_m, 'g')); _i < _m.length; _i++) {
|
||
_a.push(_b[_t = _m[_i].charAt(0)] ? _m[_i].slice(1, -2).replace(
|
||
_b[_t], _t) : _m[_i].slice(0, -1));
|
||
// alert('['+_i+'] '+_m[_i]+'|\n'+_a.slice(-1));
|
||
if (_m[_i].slice(-1) === '\n')
|
||
_r.push(_a), _a = [];
|
||
}
|
||
// if(_a.length)_r.push(_a);
|
||
|
||
if (typeof has_title === 'undefined')
|
||
has_title = _f.has_title === null ? 0 : _f.has_title;
|
||
if (has_title) {
|
||
// ignored title array
|
||
// library_namespace.debug('parse_CSV(): ');
|
||
_r.it = [];
|
||
while (_a = _r.shift(), _a.length < _r[0].length)
|
||
// 預防 title 有許多行
|
||
_r.it.push(_a);
|
||
for (_r.tA = _a, _b = _r.t = {}, _i = 0; _i < _a.length; _i++)
|
||
_b[_a[_i]] = _i;
|
||
}
|
||
|
||
// _r = [ [ L1_1, L1_2, ... ], [ L2_1, L2_2, ... ], ... ]
|
||
return _r;
|
||
}
|
||
|
||
/**
|
||
* field delimiter
|
||
*/
|
||
old_parse_CSV.fd = '\\t,;';// :\s
|
||
/**
|
||
* text qualifier
|
||
*/
|
||
old_parse_CSV.text_qualifier = '"\'';
|
||
// old_parse_CSV.ld line delimiter: only \n, \r will be ignored.
|
||
/**
|
||
* auto detect.. no title
|
||
*/
|
||
old_parse_CSV.has_title = null;
|
||
if (false) {
|
||
// data[old_parse_CSV.title_word]=title row array
|
||
old_parse_CSV.title_word = 't';
|
||
old_parse_CSV.fd = ';',
|
||
old_parse_CSV.text_qualifier = '"',
|
||
alert(parse_CSV(
|
||
'"dfdf\nsdff";"sdf""sadf\n""as""dfsdf";sdfsadf;"dfsdfdf""dfsadf";sfshgjk',
|
||
1).join('\n'));
|
||
WScript.Quit();
|
||
}
|
||
|
||
// 2007/8/6 17:53:57-22:11:22
|
||
|
||
/**
|
||
* <code>
|
||
test:
|
||
'dfgdfg,"fgd",dfg'
|
||
'dfgdfg,"fgd",dfg'
|
||
|
||
'sdfsdf','ssdfdf'',''sdf'
|
||
|
||
</code>
|
||
*/
|
||
/**
|
||
* 讀入CSV檔<br /> !! slow !!
|
||
*
|
||
* @since 2007/8/6 17:53:57-22:11:22
|
||
* @see 可參考 JKL.ParseXML.CSV.prototype.parse_CSV 2007/11/4 15:49:4
|
||
* @deprecated 廢棄: use parse_CSV() instead.
|
||
* @param FP
|
||
* file path
|
||
* @param FD
|
||
* field delimiter([,;: ]|\s+)
|
||
* @param text_qualifier
|
||
* text qualifier['"]
|
||
* @param has_title
|
||
* the data has a title line
|
||
* @return Array contains data
|
||
*/
|
||
// readCSVdata[generateCode.dLK]='autodetectEncode,simpleRead,simpleFileAutodetectEncode';
|
||
function readCSVdata(FP, FD, text_qualifier, has_title, enc) {
|
||
var t = simpleRead(FP, enc || simpleFileAutodetectEncode).replace(
|
||
/^[\r\n\s]+/, ''), r = [], reg = {
|
||
'"' : /"?(([^"]+|"")+)"?([,;: ]|[ \r\n]+)/g,
|
||
"'" : /'?(([^']+|'')+)'?([,;: ]|[ \r\n]+)/g
|
||
};
|
||
// detect delimiter
|
||
/**
|
||
* <code>
|
||
if (!FD || !text_qualifier) {
|
||
var a, b, i = 0, F = '[,;: \s]', T = '[\'"]', r = new RegExp('(^'
|
||
+ (text_qualifier || T) + '|(' + (text_qualifier || T) + ')('
|
||
+ (FD || F) + ')(' + (text_qualifier || T) + ')|'
|
||
+ (text_qualifier || T) + '$)', 'g');
|
||
F = {}, T = {};
|
||
try {
|
||
t.replace(/(^['"]|(['"])([,;: \s])(['"])|['"]$)/g, function($0, $1, $2,
|
||
$3, $4) {
|
||
if (!$2)
|
||
T[$0] = (T[$0] || 0) + 1;
|
||
else if ($2 == $4)
|
||
T[$2] = (T[$2] || 0) + 1, F[$3] = (F[$3] || 0) + 1;
|
||
if (i++ > 20)
|
||
break;
|
||
return $0;
|
||
});
|
||
} catch (e) {
|
||
}
|
||
if (!FD) {
|
||
a = b = 0;
|
||
for (i in F)
|
||
if (F[i] > a)
|
||
a = F[b = i];
|
||
FD = b;
|
||
}
|
||
if (!text_qualifier) {
|
||
a = b = 0;
|
||
for (i in T)
|
||
if (T[i] > a)
|
||
a = T[b = i];
|
||
text_qualifier = b;
|
||
}
|
||
}
|
||
</code>
|
||
*/
|
||
if (!text_qualifier) {
|
||
l = t.indexOf('\n');
|
||
if (l === -1)
|
||
t.indexOf('\r');
|
||
l = (l === -1 ? t : t.slice(0, l));
|
||
if (!l.replace(reg['"'], ''))
|
||
text_qualifier = '"';
|
||
else if (!l.replace(reg["'"], ''))
|
||
text_qualifier = "'";
|
||
else
|
||
return;
|
||
}
|
||
reg = reg[text_qualifier];
|
||
|
||
l = [];
|
||
if (!has_title)
|
||
r.length = 1;
|
||
(t + '\n').replace(reg, function($0, $1, $2, $3) {
|
||
l.push($1);
|
||
if (/\r\n/.test($3))
|
||
r.push(l), l = [];
|
||
return '';
|
||
});
|
||
if (has_title)
|
||
for (l = 0, r.t = {}; l < r[0].length; l++)
|
||
r.t[r[0][l]] = l;
|
||
return r;
|
||
}
|
||
|
||
var default_config_to_CSV;
|
||
if (false) {
|
||
default_config_to_CSV = {
|
||
/**
|
||
* 標題列
|
||
*/
|
||
title_array : [],
|
||
/**
|
||
* 欄位分隔符號
|
||
*/
|
||
field_delimiter : ',',
|
||
/**
|
||
* 文字辨識符號
|
||
*/
|
||
text_qualifier : '"',
|
||
/**
|
||
* 是否強制加上 text delimiter
|
||
*/
|
||
force_add_text_qualifier : true,
|
||
/**
|
||
* line delimiter
|
||
*/
|
||
line_delimiter : '\n'
|
||
};
|
||
}
|
||
|
||
_// JSDT:_module_
|
||
.
|
||
/**
|
||
* @deprecated 廢棄: use to_CSV_String() instead.<br />
|
||
* config =
|
||
* {field_delimiter:',',title_array:[],text_qualifier:'"',force_text_qualifier:true}
|
||
*/
|
||
to_CSV = function(csv_object, config) {
|
||
library_namespace
|
||
.warn('to_CSV is deprecated. Please using to_CSV_String.');
|
||
config = library_namespace.setup_options(config);
|
||
var CSV = [], i = 0, text_qualifier = config.text_qualifier || '"', force_add_text_qualifier = config.force_add_text_qualifier
|
||
&& text_qualifier, line_delimiter = config.line_delimiter
|
||
|| '\n', field_delimiter = config.field_delimiter || ',', text_qualifier_tester, text_qualifier_RegExp, text_qualifier_replace, add_line = function(
|
||
line_array) {
|
||
var i = 0, field = [];
|
||
if (force_add_text_qualifier) {
|
||
for (; i < line_array.length; i++) {
|
||
// 預防 cell 為 null, undefined 等。
|
||
var cell = line_array[i] && String(line_array[i]) || '';
|
||
field.push(cell.replace(text_qualifier_RegExp,
|
||
text_qualifier_replace));
|
||
}
|
||
CSV.push(text_qualifier
|
||
+ field.join(text_qualifier + field_delimiter
|
||
+ text_qualifier) + text_qualifier);
|
||
} else {
|
||
for (; i < line_array.length; i++) {
|
||
// 預防 cell 為 null, undefined 等。
|
||
var cell = line_array[i] && String(line_array[i]) || '';
|
||
field.push(text_qualifier_tester
|
||
&& cell.indexOf(text_qualifier_tester) !== -1
|
||
//
|
||
? text_qualifier
|
||
+ cell.replace(text_qualifier_RegExp,
|
||
text_qualifier_replace) + text_qualifier
|
||
//
|
||
: cell);
|
||
}
|
||
CSV.push(field.join(field_delimiter));
|
||
}
|
||
};
|
||
|
||
if (text_qualifier)
|
||
text_qualifier_tester = text_qualifier,
|
||
text_qualifier_RegExp = new RegExp('\\' + text_qualifier,
|
||
'g'), text_qualifier_replace = text_qualifier
|
||
+ text_qualifier;
|
||
else if (line_delimiter === '\n')
|
||
text_qualifier_tester = line_delimiter,
|
||
text_qualifier_RegExp = /\n/g,
|
||
text_qualifier_replace = '\\n';
|
||
|
||
if (Array.isArray(config.title_array)
|
||
// && config.title_array.length
|
||
)
|
||
add_line(config.title_array);
|
||
|
||
for (; i < csv_object.length; i++)
|
||
add_line(csv_object[i]);
|
||
|
||
return CSV.join(line_delimiter);
|
||
};
|
||
|
||
/**
|
||
* <code>
|
||
// old:
|
||
function quoteCSVfield(t, d) {
|
||
if (!d)
|
||
d = '"';
|
||
for (var i = 0, j, rd = new RegExp(d, 'g'), d2 = d + d; i < t.length; i++) {
|
||
for (j = 0; j < t[i].length; j++)
|
||
if (typeof t[i][j] == 'string')
|
||
t[i][j] = d + t[i][j].replace(rd, d2) + d;
|
||
if (Array.isArray(t[i]))
|
||
t[i] = t[i].join(',');
|
||
}
|
||
return t.join('\n') + '\n';
|
||
}
|
||
</code>
|
||
*/
|
||
|
||
return (_// JSDT:_module_
|
||
);
|
||
}
|