fast-csv - npm Package Compare versions

Comparing version 1.0.0 to 1.1.0

History.md

		@@ -0,1 +1,8 @@
		# v1.1.0

		* Fix for when chunk returned by transform to the parser ends with a space
		* Functionality to give a reason when invalid data
		* Fix problem with utf8 encoded streams that have multi-byte characters
		* Allow passing sparse array of headers

		# v1.0.0
		@@ -2,0 +9,0 @@

lib/parser/parser_stream.js

		@@ -11,2 +11,3 @@ var extended = require("../extended"),
		fs = require("fs"),
		StringDecoder = require('string_decoder').StringDecoder,
		hasIsPaused = !!stream.Transform.prototype.isPaused;
		@@ -19,2 +20,3 @@
		this.lines = "";
		this.decoder = new StringDecoder();
		this._parsedHeaders = false;
		@@ -68,3 +70,3 @@ this._rowCount = -1;
		} else {
		self.__validate(line, function (err, isValid) {
		self.__validate(line, function (err, isValid, reason) {
		if (err) {
		@@ -75,3 +77,3 @@ next(err);
		} else {
		self.emit("data-invalid", line, index);
		self.emit("data-invalid", line, index, reason);
		next(null, null);
		@@ -146,2 +148,5 @@ }
		while (++i < headersLength) {
		if (isUndefined(headers[i])) {
		continue;
		}
		val = data[i];
		@@ -199,3 +204,3 @@ ret[headers[i]] = isUndefined(val) ? '' : val;
		var lines = this.lines,
		lineData = (lines + data),
		lineData = (lines + this.decoder.write(data)),
		self = this;
		@@ -202,0 +207,0 @@ if (lineData.length > 1) {

lib/parser/parser.js

		@@ -150,2 +150,3 @@ var extended = require("./../extended"),
		i = lastLineI;
		cursor = null;
		break;
		@@ -152,0 +153,0 @@ } else if (ROW_DELIMITER.test(token)) {

package.json

		{
		"name": "fast-csv",
		"version": "1.0.0",
		"version": "1.1.0",
		"description": "CSV parser and writer",
		@@ -5,0 +5,0 @@ "main": "index.js",

README.md

		@@ -19,3 +19,3 @@ [![build status](https://secure.travis-ci.org/C2FO/fast-csv.png)](http://travis-ci.org/C2FO/fast-csv)
		* `objectMode=true`: Ensure that `data` events have an object emitted rather than the stringified version set to false to have a stringified buffer.
		* `headers=false`: Set to true if you expect the first line of your `CSV` to contain headers, alternatly you can specify an array of headers to use.
		* `headers=false`: Set to true if you expect the first line of your `CSV` to contain headers, alternatly you can specify an array of headers to use. You can also specify a sparse array to omit some of the columns.
		* `ignoreEmpty=false`: If you wish to ignore empty rows.
		@@ -201,2 +201,18 @@ * `discardUnmappedColumns=false`: If you want to discard columns that do not map to a header.

		To omit some of the data columns you may not need, pass a sparse array as `headers`.

		```javascript
		var stream = fs.createReadStream("my.csv");

		csv
		.fromStream(stream, {headers : ["firstName" , , "address"]})
		.on("data", function(data){
		console.log(data);
		})
		.on("end", function(){
		console.log("done");
		});

		```

		If your data may include empty rows, the sort Excel might include at the end of the file for instance, you can ignore
		@@ -203,0 +219,0 @@ these by including the `ignoreEmpty` option.

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