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							68 lines
						
					
					
						
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							68 lines
						
					
					
						
							3.0 KiB
						
					
					
				| var numExp = /^[0-9]+$/;
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| module.exports = function (params) {
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|   var _param = {
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|     constructResult: true, //set to false to not construct result in memory. suitable for big csv data
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|     delimiter: ',', // change the delimiter of csv columns. It is able to use an array to specify potencial delimiters. e.g. [",","|",";"]
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|     ignoreColumns: [], // columns to ignore upon input.
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|     includeColumns: [], // columns to include upon input.
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|     quote: '"', //quote for a column containing delimiter.
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|     trim: true, //trim column's space charcters
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|     checkType: false, //whether check column type
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|     toArrayString: false, //stream down stringified json array instead of string of json. (useful if downstream is file writer etc)
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|     ignoreEmpty: false, //Ignore empty value while parsing. if a value of the column is empty, it will be skipped parsing.
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|     workerNum: getEnv("CSV_WORKER", 1), //number of parallel workers. If multi-core CPU available, increase the number will get better performance for large csv data.
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|     fork: false, //use another CPU core to convert the csv stream
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|     noheader: false, //indicate if first line of CSV file is header or not.
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|     headers: null, //an array of header strings. If noheader is false and headers is array, csv header will be ignored.
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|     flatKeys: false, // Don't interpret dots and square brackets in header fields as nested object or array identifiers at all.
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|     maxRowLength: 0, //the max character a csv row could have. 0 means infinite. If max number exceeded, parser will emit "error" of "row_exceed". if a possibly corrupted csv data provided, give it a number like 65535 so the parser wont consume memory. default: 0
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|     checkColumn: false, //whether check column number of a row is the same as headers. If column number mismatched headers number, an error of "mismatched_column" will be emitted.. default: false
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|     escape: '"', //escape char for quoted column
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|     colParser:{}, //flags on columns to alter field processing.
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| 
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|     /**below are internal params */
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|     _columnConv:[],
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|     _headerType: [],
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|     _headerTitle: [],
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|     _headerFlag: [],
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|     _headers: null,
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|     _needFilterRow: false
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|   };
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|   if (!params) {
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|     params = {};
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|   }
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|   for (var key in params) {
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|     if (params.hasOwnProperty(key)) {
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|       if (Array.isArray(params[key])) {
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|         _param[key] = [].concat(params[key]);
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|       } else {
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|         _param[key] = params[key];
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|       }
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|     }
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|   }
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|   if (_param.ignoreColumns.length > 0 && !numExp.test(_param.ignoreColumns.join(""))) {
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|     _param._postIgnoreColumns = true;
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|   }
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|   if (_param.includeColumns.length > 0 && !numExp.test(_param.includeColumns.join(""))) {
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|     _param._postIncludeColumns = true;
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|   }
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| 
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|   if (_param.ignoreColumns.length || _param.includeColumns.length) {
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|     _param._needFilterRow = true;
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|     if (!_param._postIgnoreColumns){
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|       _param.ignoreColumns.sort(function (a, b) { return b-a;});
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|     }
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|   }
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| 
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| 
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|   return _param;
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| };
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| 
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| function getEnv(key, def) {
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|   if (process.env[key]) {
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|     return process.env[key];
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|   } else {
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|     return def;
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|   }
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| }
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