Allow Ignore case with column names

LINQtoCSV.Tests/CsvContextReadTests.cs

@@ -18,7 +18,7 @@ public void GoodFileUsingOutputFormatForParsingDatesCharUSEnglish()
             {
                 SeparatorChar = ';',
                 FirstLineHasColumnNames = false,
-                UseOutputFormatForParsingCsvValue = true,                
+                UseOutputFormatForParsingCsvValue = true,
                 EnforceCsvColumnAttribute = true, // default is false
                 FileCultureName = "en-US" // default is the current culture
             };
@@ -216,7 +216,7 @@ two newlines
 and a quoted """"string""""""
 dog house,    ""45,230,990"",29 Feb 2004, ,                  -56,        True,"""",                  FF10, ""12,008""";
 
-            var expected = new [] {
+            var expected = new[] {
                 new ProductData {
                     name = "moonbuggy", weight = 34.184, startDate = new DateTime(2008, 5, 23), launchTime = new DateTime(2009, 5, 5, 16, 11, 0),
                     nbrAvailable = 1205, onsale = true, shopsAvailable = "Paris, New York", hexProductCode = 31, retailPrice = 540.12M,
@@ -333,16 +333,17 @@ and a quoted ""string"""
         }
 
         [TestMethod()]
-        public void FileWithUnknownColumns_ShouldDiscardColumns() {
+        public void FileWithUnknownColumns_ShouldDiscardColumns()
+        {
             var description = new CsvFileDescription
                 {
                     SeparatorChar = ',',
                     FirstLineHasColumnNames = true,
                     IgnoreUnknownColumns = true,
                 };
-            
+
             //The following input has 5 columns: Id | Name | Last Name | Age | City. Only the Name, Last Name and Age will be read.
-            
+
             string input =
 @"Id,Name,Last Name,Age,City
 1,John,Doe,15,Washington
@@ -367,5 +368,57 @@ public void FileWithUnknownColumns_ShouldDiscardColumns() {
             AssertRead(input, description, expected);
 
         }
+
+        [TestMethod()]
+        public void GoodFileWithIgnoringCaseOnColumnNames()
+        {            // Arrange
+
+            CsvFileDescription fileDescription_namesUs = new CsvFileDescription
+            {
+                SeparatorChar = ',', // default is ','
+                FirstLineHasColumnNames = true,
+                EnforceCsvColumnAttribute = false, // default is false
+                FileCultureName = "en-US", // default is the current culture
+                IgnoreCaseOnColumnNames = true,
+                IgnoreTrailingSeparatorChar = true
+
+            };
+
+            string testInput =
+@"nAME,        Weight,       startDate, LAunchTime,               nbrAVAILABLE,onsalE,shopsAVAilable,    CODE,  Price,    Description,
+moonbuggy,   34.184,       5/23/08,   5-May-2009 4:11 pm,       1205,        true,  ""Paris, New York"", 1F,    $540.12,  newly launched product,
+""mouse trap"",45E-5,        1/2/1985,  ""7 August 1988, 0:00 am"", ""4,030"",     FALSE, ""This field has
+a newline"", 100, ""$78,300"", ""This field has quotes(""""), and
+two newlines
+and a quoted """"string""""""
+dog house,    ""45,230,990"",29 Feb 2004, ,                  -56,        True,"""",                  FF10, ""12,008"",";
+
+            var expected = new[] {
+                new ProductData {
+                    name = "moonbuggy", weight = 34.184, startDate = new DateTime(2008, 5, 23), launchTime = new DateTime(2009, 5, 5, 16, 11, 0),
+                    nbrAvailable = 1205, onsale = true, shopsAvailable = "Paris, New York", hexProductCode = 31, retailPrice = 540.12M,
+                    description = "newly launched product"
+                },
+                new ProductData {
+                    name = "mouse trap", weight = 45E-5, startDate = new DateTime(1985, 1, 2), launchTime = new DateTime(1988, 8, 7, 0, 0, 0),
+                    nbrAvailable = 4030, onsale = false, shopsAvailable = @"This field has
+a newline", hexProductCode = 256, retailPrice = 78300M,
+                    description = @"This field has quotes(""), and
+two newlines
+and a quoted ""string"""
+                },
+                new ProductData {
+                    name = "dog house", weight = 45230990, startDate = new DateTime(2004, 2, 29), launchTime = default(DateTime),
+                    nbrAvailable = -56, onsale = true, shopsAvailable = "", hexProductCode = 65296, retailPrice = 12008M,
+                    description = null
+                }
+            };
+
+            // Act and Assert
+
+            AssertRead(testInput, fileDescription_namesUs, expected);
+
+
+        }
     }
 }

LINQtoCSV/CsvFileDescription.cs

@@ -96,6 +96,11 @@ public int MaximumNbrExceptions
         /// </summary>
         public bool IgnoreUnknownColumns { get; set; }
 
+        /// <summary>
+        /// If set to true, will read the column names while ignoring the case
+        /// </summary>
+        public bool IgnoreCaseOnColumnNames { get; set; }
+
         // ---------------
 
         public CsvFileDescription()
@@ -112,6 +117,7 @@ public CsvFileDescription()
             UseFieldIndexForReadingData = false;
             UseOutputFormatForParsingCsvValue = false;
             IgnoreUnknownColumns = false;
+            IgnoreCaseOnColumnNames = false;
         }
     }
 }

LINQtoCSV/FieldMapper.cs

@@ -267,7 +267,8 @@ public FieldMapper(CsvFileDescription fileDescription, string fileName, bool wri
             m_fileDescription = fileDescription;
             m_fileName = fileName;
 
-            m_NameToInfo = new Dictionary<string, TypeFieldInfo>();
+            //if case insensitive set then declare dictionary with ignorecase
+            m_NameToInfo = m_fileDescription.IgnoreCaseOnColumnNames ? new Dictionary<string, TypeFieldInfo>(StringComparer.InvariantCultureIgnoreCase) : new Dictionary<string, TypeFieldInfo>();
 
             AnalyzeType(
                 typeof(T), 
@@ -410,6 +411,7 @@ public void ReadNames(IDataRow row)
 
             int currentNameIndex = 0;
             for (int i = 0; i < row.Count; i++) {
+
                 if (!m_NameToInfo.ContainsKey(row[i].Value)) {
                     //If we have to ignore this column
                     if (m_fileDescription.IgnoreUnknownColumns) {

article.htm

@@ -110,7 +110,7 @@ <h3>Reading from a file</h3>
         Create a <code>CsvFileDescription</code> object, and initialize it with details about the file that you're going to read. It will look like this:
 <pre lang="cs">CsvFileDescription inputFileDescription = new CsvFileDescription
 {
-    SeparatorChar = ',', 
+    SeparatorChar = ',',
     FirstLineHasColumnNames = true
 };</pre>
 
@@ -147,7 +147,7 @@ <h3>Reading from a file</h3>
 
 <pre lang="cs">CsvFileDescription inputFileDescription = new CsvFileDescription
 {
-    SeparatorChar = ',', 
+    SeparatorChar = ',',
     FirstLineHasColumnNames = true
 };
 CsvContext cc = new CsvContext();
@@ -268,7 +268,7 @@ <h3><a id="WriteAnonymous">Writing an IEnumerable of anonymous type</a></h3>
 // Write contents of productsNetherlands to file
 cc.Write(
     productsNetherlands,
-    &quot;products-Netherlands.csv&quot;, 
+    &quot;products-Netherlands.csv&quot;,
     outputFileDescription);</pre>
 
 <p>Here, a LINQ query selects all products for &quot;Netherlands&quot; from the variable <code>products</code>, and returns an <code>IEnumerable</code> holding objects of some anonymous type that has the fields <code>Name</code>, <code>LaunchDate</code>, <code>Price</code>, and <code>Description</code>. The <code>Write</code> method then writes those objects to the file <em>products-Netherlands.csv</em>.</p>
@@ -452,6 +452,8 @@ <h2>CsvFileDescription<a id="CsvFileDescription"></a></h2>
     <li><a href="#IgnoreTrailingSeparatorChar"><code>IgnoreTrailingSeparatorChar</code></a> </li>
 
     <li><a href="#IgnoreUnknownColumns"><code>IgnoreUnknownColumns</code></a> </li>
+
+    <li><a href="#IgnoreCaseOnColumnNames"><code>IgnoreCaseOnColumnNames</code></a> </li>
 </ul>
 
 <h3><a id="SeparatorChar">SeparatorChar</a></h3>
@@ -879,7 +881,7 @@ <h4>Example:</h4>
 <br>
 Suppose you have the following class:
 <pre lang="cs">
-class Person 
+class Person
 {
     [CsvColumn(Name = "Name")]
     public string Name { get ; set; }
@@ -898,6 +900,80 @@ <h4>Example:</h4>
     then the columns &quot;Id&quot; and &quot;City&quot; will be ignored without an exception.
 </p>
 
+<h3><a id="IgnoreCaseOnColumnNames"></a>IgnoreCaseOnColumnNames</h3>
+
+<table cellpadding="3">
+    <tbody>
+        <tr>
+            <td><strong>Type:</strong></td>
+
+            <td><code lang="cs">bool</code></td>
+        </tr>
+
+        <tr>
+            <td><strong>Default:</strong></td>
+
+            <td>false</td>
+        </tr>
+
+        <tr>
+            <td><strong>Applies to:</strong></td>
+
+            <td>Reading only</td>
+        </tr>
+    </tbody>
+</table>
+
+<h4>Example:</h4>
+<p>
+    If you dont want your class property name cases to match with the column names in the csv and do not want to use the additional name attribute just to match column names, you can set this attribute to true which will ignore casing in column name:
+</p>
+<table cellspacing="5" cellpadding="0" border="0">
+    <tbody>
+        <tr>
+            <th>id</th>
+            <th>name</th>
+            <th>last Name</th>
+            <th>age</th>
+            <th>CITY</th>
+        </tr>
+        <tr>
+            <td>1</td>
+            <td>John</td>
+            <td>Doe</td>
+            <td>15</td>
+            <td>Washington</td>
+        </tr>
+        <tr>
+            <td>2</td>
+            <td>Jane</td>
+            <td>Doe</td>
+            <td>20</td>
+            <td>New York</td>
+        </tr>
+    </tbody>
+</table>
+<br>
+Suppose you have the following class:
+<pre lang="cs">
+class Person
+{
+    [CsvColumn]
+    public string Name { get ; set; }
+    [CsvColumn]
+    public string LastName { get; set; }
+    [CsvColumn]
+    public int Age { get; set; }
+}
+</pre>
+<p>
+    Note that the input file has different case for column names than the class members. This discrepancy would normally cause an exception.
+</p>
+<p>
+    However, if you set <pre lang="cs">fd.IgnoreCaseOnColumnNames = true;</pre>
+
+    then the columns will match without an exception.
+</p>
 
 
 <h2>CsvColumn Attribute<a id="CsvColumn_Attribute"></a></h2>
@@ -1820,6 +1896,15 @@ <h2><a id="History"></a>History</h2>
                 Courtesy of <a href="https://github.com/omederos" target="_blank">Oscar Mederos</a>.
             </td>
         </tr>
+        <tr>
+            <td valign="top">1.6</td>
+            <td valign="top">29 April 2016</td>
+            <td valign="top">
+                Introduced option to ignore case on column names in the input file.
+                Courtesy of <a href="https://github.com/woodenarmadillo" target="_blank">Shahzad Ahmad</a>.
+            </td>
+        </tr>
+
     </tbody>
 </table>
 
@@ -1829,9 +1914,3 @@ <h2><a id="Contribute"></a>New Features and Bug Fixes</h2>
     Details:
     <a href="github.com/mperdeck/LINQtoCSV">https://github.com/mperdeck/LINQtoCSV</a>
 </p>
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