我有一个CSV文件,其标题在单独的XML中定义,如下所示。
<columns>
<column value="FirstName" required="true"/>
<column value="LastName" required="false"/>
<column value="Age" required="true"/>
</columns>
我需要解析CSV,检查规则并保存。实际上,我需要找到第一列是FirstName,第二列是LastName,基于XML中的位置而不是固定位置。我还有其他规则,比如FirstName必须只是字母表,age只能是基于列名而不是位置的数字。
因此,我需要按照XML中的列名获取数据,然后应用规则。
任何指针/想法都会有所帮助。
答案 0 :(得分:-1)
请尝试以下代码阅读CSV。
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using System.IO;
using System.Data.OleDb;
using System.Xml;
using System.Xml.Xsl;
namespace CSVImporter
{
public partial class CSVImporter : Form
{
//const string xmlfilename = @"C:\Users\fenwky\XmlDoc.xml";
const string xmlfilename = @"C:\temp\test.xml";
DataSet ds = null;
public CSVImporter()
{
InitializeComponent();
// Create a Open File Dialog Object.
openFileDialog1.Filter = "csv files (*.csv)|*.csv|All files (*.*)|*.*";
openFileDialog1.ShowDialog();
string fileName = openFileDialog1.FileName;
//doc.InsertBefore(xDeclare, root);
// Create a CSV Reader object.
CSVReader reader = new CSVReader();
ds = reader.ReadCSVFile(fileName, true);
dataGridView1.DataSource = ds.Tables["Table1"];
}
private void WXML_Click(object sender, EventArgs e)
{
WriteXML();
}
public void WriteXML()
{
StringWriter stringWriter = new StringWriter();
ds.WriteXml(new XmlTextWriter(stringWriter), XmlWriteMode.WriteSchema);
string xmlStr = stringWriter.ToString();
XmlDocument doc = new XmlDocument();
doc.LoadXml(xmlStr);
XmlDeclaration xDeclare = doc.CreateXmlDeclaration("1.0", "UTF-8", null);
XmlNode docNode = doc.CreateXmlDeclaration("1.0", "UTF-8", null);
doc.InsertBefore(xDeclare, doc.FirstChild);
// Create a procesing instruction.
//XmlProcessingInstruction newPI;
//String PItext = "<abc:stylesheet xmlns:abc=\"http://www.w3.org/1999/XSL/Transform\" version=\"1.0\">";
//String PItext = "type='text/xsl' href='book.xsl'";
string PItext = "html xsl:version=\"1.0\" xmlns:xsl=\"http://www.w3.org/1999/XSL/Transform\"";
XmlText newPI = doc.CreateTextNode(PItext);
//newPI = docCreateProcessingInstruction("html", PItext);
//newPI = doc.CreateComment(CreateDocumentType("html", PItext, "", "");
doc.InsertAfter(newPI, doc.FirstChild);
doc.Save(xmlfilename);
XslCompiledTransform myXslTrans = new XslCompiledTransform();
myXslTrans.Load(xmlfilename);
string directoryPath = Path.GetDirectoryName(xmlfilename);
myXslTrans.Transform(xmlfilename, directoryPath + "result.html");
webBrowser1.Navigate(directoryPath + "result.html");
}
}
public class CSVReader
{
public DataSet ReadCSVFile(string fullPath, bool headerRow)
{
string path = fullPath.Substring(0, fullPath.LastIndexOf("\\") + 1);
string filename = fullPath.Substring(fullPath.LastIndexOf("\\") + 1);
DataSet ds = new DataSet();
try
{
if (File.Exists(fullPath))
{
string ConStr = string.Format("Provider=Microsoft.Jet.OLEDB.4.0;Data Source={0}" + ";Extended Properties=\"Text;HDR={1};FMT=Delimited\\\"", path, headerRow ? "Yes" : "No");
string SQL = string.Format("SELECT * FROM {0}", filename);
OleDbDataAdapter adapter = new OleDbDataAdapter(SQL, ConStr);
adapter.Fill(ds, "TextFile");
ds.Tables[0].TableName = "Table1";
}
foreach (DataColumn col in ds.Tables["Table1"].Columns)
{
col.ColumnName = col.ColumnName.Replace(" ", "_");
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
return ds;
}
}
}
然后,您可以将DataTable保存为XML
DataSet ds = new DataSet();
DataTable dt = new DataTable();
ds.Tables.Add(dt);
ds.WriteXml("Filename", XmlWriteMode.WriteSchema);
// read columns of datatable
List<string> headers = new List<string>();
foreach (DataColumn column in dt.Columns)
{
headers.Add(column.ColumnName);
// type can be gotten from this
Type columnType = column.DataType;
}