解析半冒号分类文件

时间:2016-02-14 07:12:10

标签: c# regex csv textfieldparser

我有一个CSV文件,但分隔符是一个分号;,每列用双引号括起来。某些值中也会出现;,例如& amp;

我正在使用 TextFieldParser 来解析文件。这是样本数据:

  

"A001";"RT:This is a tweet"; "http://www.whatever.com/test/module & amp;one"

对于上面的例子,我得到的列/字段比我应该得到的更多。

  

Field[0] = "A001"
  Field[1] = "RT:This is a tweet"
  Field[2] = "http://www.whatever.com/test/module&amp"
  Field[3] = "one"

这是我的代码。处理这种情况需要做哪些改变?

 using (var parser  =  new TextFieldParser(fileName))
            {
                parser.TextFieldType = FieldType.Delimited;
                parser.SetDelimiters(";");
                parser.TrimWhiteSpace = true;
                parser.HasFieldsEnclosedInQuotes = false;

                int rowIndex = 0;
                PropertyInfo[] properties = typeof(TwitterData).GetProperties();
                while (parser.PeekChars(1) != null)
                {
                    var cleanFieldRowCells = parser.ReadFields().Select(
                        f => f.Trim(new[] { ' ', '"' }));

                    var twitter = new TwitterData();
                    int index = 0;
                    foreach (string c in cleanFieldRowCells)
                    {
                            string str = c;

                            if (properties[index].PropertyType == typeof(DateTime))
                            {
                                string twitterDateTemplate = "ddd MMM dd HH:mm:ss +ffff yyyy";
                                DateTime createdAt = DateTime.ParseExact(str, twitterDateTemplate, new System.Globalization.CultureInfo("en-AU"));
                                properties[index].SetValue(twitter, createdAt);
                            }
                            else
                            {
                                properties[index].SetValue(twitter, str);
                            }

                        index++;
                    }
                }

-Alan -

1 个答案:

答案 0 :(得分:2)

使用上面的两个示例字符串并将HasFieldsEnclosedInQuotes属性设置为true对我有效。

string LINES = @"
    ""A001"";""RT:This is a tweet""; ""http://www.whatever.com/test/module&one""
    ""A001"";""RT: Test1 ; Test2"";""test.com"";   
";
using (var sr = new StringReader(LINES))
{
    using (var parser = new TextFieldParser(sr))
    {
        parser.TextFieldType = FieldType.Delimited;
        parser.SetDelimiters(";");
        parser.TrimWhiteSpace = true;
        parser.HasFieldsEnclosedInQuotes = true;

        while (parser.PeekChars(1) != null)
        {
            var cleanFieldRowCells = parser.ReadFields().Select(
                f => f.Trim(new[] { ' ', '"' })).ToArray();
            Console.WriteLine("New Line");
            for (int i = 0; i < cleanFieldRowCells.Length; ++i)
            {
                Console.WriteLine(
                    "Field[{0}] = [{1}]", i, cleanFieldRowCells[i]
                );
            }
            Console.WriteLine("{0}", new string('=', 40));
        }
    }
}

输出:

New Line
Field[0] = [A001]
Field[1] = [RT:This is a tweet]
Field[2] = [http://www.whatever.com/test/module&amp;one]
========================================
New Line
Field[0] = [A001]
Field[1] = [RT: Test1 ; Test2]
Field[2] = [test.com]
Field[3] = []
========================================