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概述

 

1.PDF中文本字符串格式中关键值信息抓取(已完成)

    简介:这种解析比较传统最简单主要熟练使用Regular Expression做语义识别和验证.例如抓取下面红色圈内关键信息

1.1


string mettingData=GetMeetingData();
public string GetMeetingData()
{
string patternAll = @"(?<NDAandCAMDate>会s*议s*.{2,15}d{2,4}s*年s*d{1,2}s*月s*d{1,2}s*日.{0,15})";
PdfAnalyzer pa = new PdfAnalyzer();
PDFNet.Initialize();
PDFDoc doc = new PDFDoc(item);
doc.InitSecurityHandler();
List<PdfString> foundAll = pa.RegexSearchAllPages(doc, patternAll);
List<string> patternFilter = new List<string>();
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?(上午)?(?<hour>d{1,2})(:|点|时)(?<minute>d{1,2})");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?下午(?<hour>d{1,2})(:|点|时)(?<minute>d{1,2})");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?(上午)?(?<hour>d{1,2})点半");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?下午(?<hour>d{1,2})点半");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?(上午)?(?<hour>d{1,2})(点|时)");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日(((|()(星期|周)(一|二|三|四|五|六|七)()|)))?下午(?<hour>d{1,2})(点|时)");
patternFilter.Add(@"(?<year>d{2,4})年(?<month>d{1,2})月(?<day>d{1,2})日");
return GetMeetingDateFilter(foundAll, patternAll);
}
private string GetMeetingDateFilter(List<PdfString> foundAll, List<string> patternAll)
{
string meetingDate = "
";
Match ma = null;
string result = string.Empty;
foreach (PdfString pdfString in foundAll)
{
result = pdfString.ToString().Replace(" ", "");
for (int i = 0; i < patternAll.Count; i++)
{
ma = (new Regex(patternAll[i])).Match(result);
if (ma.Success)
{
if (IsValid(ma))
return meetingDate;
else
meetingDate = "
";
}
}
}
return meetingDate;
}

注解:

      a.第一次通过通过 pa.RegexSearchAllPages(doc, patternAll);搜索所有关于时间数据信息

      b.第二次通过正则匹配获取带有关键词信息Meeting Data

 

2.PDF类似表格形式关键值数据抓取。(已完成)

           简介:这种格式需要用的封装数据结构PdfString类和PdfAnalyzer类,根据给定关键词在指定范围提取数据,例如提取下面数据。

2.1

private string GetPremium(string path, string ricCode)
{
string result = string.Empty;
PDFDoc doc = null;
try
{
PDFNet.Initialize();
doc = new PDFDoc(path);
doc.InitSecurityHandler();
if (doc == null)
{
string msg = string.Format("can't load pdf to doc = new PDFDoc({0}); ", path);
Logger.Log(msg, Logger.LogType.Error);
return result;
}
int x1 = 0;
int y1 = 0;
PdfAnalyzer pa = new PdfAnalyzer();
List<PdfString> listX1 = pa.RegexSearchAllPages(doc, ricCode);
List<PdfString> listY1 = pa.RegexSearchAllPages(doc, @"[P|p]remium");
List<PdfString> listResult = pa.RegexSearchAllPages(doc, @"(?<Result>d+.d+%)");
if (listX1.Count == 0 || listY1.Count == 0 || listResult.Count == 0)
{
string msg = string.Format("({0}),([P|p]remium) exist missing value ,so Gearing is empty value.", ricCode);
Logger.Log(msg, Logger.LogType.Warning);
return result;
}
x1 = System.Convert.ToInt32(listX1[0].Position.x1);
y1 = System.Convert.ToInt32(listY1[0].Position.y1);
int subX1 = 0;
int subY1 = 0;
//use Gearing position (x1,y1) to get the right result value
foreach (var item in listResult)
{
subX1 = x1 - System.Convert.ToInt32(item.Position.x1);
if (subX1 < 0) subX1 = 0 - subX1;
subY1 = y1 - System.Convert.ToInt32(item.Position.y1);
if (subY1 < 0) subY1 = 0 - subY1;
if (subX1 <= 10 && subY1 <= 10)
{
result = item.ToString().Replace("%", "");
return result;
}
}
Logger.Log(string.Format("stock code:{0},extract premium failed .", ricCode), Logger.LogType.Error);
return result;
}
catch (Exception ex)
{
string msg = string.Format("PDF analysis failed for " + ricCode + "! Action: Need manually input gearing and premium rn error msg:{0}", ex.Message);
Logger.Log(msg, Logger.LogType.Warning);
return result;
}
}

 

3.需要PDF中大量数据转换到Excel中去 (已完成)

           简介:基与2的延伸,加入一个自动模糊匹配到行和列边界范围,根据位置坐标排序提取正确数据信息。如图:

2.22.3

private void StartExtractFile()
{
List<List<string>> bulkFileFilter = null;
List<LineFound> bulkFile = null;
PDFNet.Initialize();
PDFDoc doc = new PDFDoc(config.FilePath1);
doc.InitSecurityHandler();
string patternTitle = @"コード";
int page = 3;
PdfString ricPosition = GetRicPosition(doc, patternTitle, page);
if (ricPosition == null)
return;
string patternRic = @"d{4}";
string patternValue = @"(-|+)?d+(,|.|d)+";
bulkFile = GetValue(doc, ricPosition, patternRic, patternValue);
int indexOK = 0;
bulkFileFilter = FilterBulkFile(bulkFile, indexOK);
string filePath = Path.Combine(config.OutputFolder, string.Format("Type1ExtractedFromPdf{0}.csv", DateTime.Now.ToString("dd-MM-yyyy")));
if (File.Exists(filePath))
File.Delete(filePath);
XlsOrCsvUtil.GenerateStringCsv(filePath, bulkFileFilter);
AddResult(Path.GetFileNameWithoutExtension(filePath), filePath, "type1");
}
private List<List<string>> FilterBulkFile(List<LineFound> bulkFile, int indexOK)
{
List<List<string>> result = new List<List<string>>();
if (bulkFile == null || bulkFile.Count == 0)
{
Logger.Log("no value data extract from pdf");
return null;
}
int count = bulkFile[indexOK].LineData.Count;
List<string> line = null;
foreach (var item in bulkFile)
{
if (item.LineData == null || item.LineData.Count <= 0)
continue;
line = new List<string>();
if (item.LineData.Count.CompareTo(count) == 0)
{
foreach (var value in item.LineData)
{
line.Add(value.Words.ToString());
}
}
else
{
line.Add(item.LineData[0].Words.ToString());
for (int i = 1; i < count; i++)
{
line.Add(string.Empty);
}
}
result.Add(line);
}
return result;
}
private List<LineFound> GetValue(PDFDoc doc, PdfString ricPosition, string patternRic, string patternValue)
{
List<LineFound> bulkFile = new List<LineFound>();
try
{
List<string> line = new List<string>();
List<PdfString> ric = null;
//for (int i = 1; i < 10; i++)
for (int i = 1; i < doc.GetPageCount(); i++)
{
ric = pa.RegexExtractByPositionWithPage(doc, patternRic, i, ricPosition.Position);
foreach (var item in ric)
{
LineFound lineFound = new LineFound();
lineFound.Ric = item.Words.ToString();
lineFound.Position = item.Position;
lineFound.PageNumber = i;
lineFound.LineData = pa.RegexExtractByPositionWithPage(doc, patternValue, i, item.Position, PositionRect.X2);
bulkFile.Add(lineFound);
}
}
}
catch (Exception ex)
{
string msg = string.Format("rn
ClassName:
{0}rn
MethodName: {1}rn
Message:
{2}",
System.Reflection.MethodBase.GetCurrentMethod().DeclaringType.ToString(),
System.Reflection.MethodBase.GetCurrentMethod().Name,
ex.Message);
Logger.Log(msg, Logger.LogType.Error);
}
return bulkFile;
}
private PdfString GetRicPosition(PDFDoc doc, string pattern, int page)
{
try
{
List<PdfString> ricPosition = null;
ricPosition = pa.RegexSearchByPage(doc, @"コード", page);
if (ricPosition == null || ricPosition.Count == 0)
{
Logger.Log(string.Format("there is no ric title found by using pattern:{0} to find the ric title ,in the page:{1} of the pdf:{2}"));
return null;
}
return ricPosition[0];
}
catch (Exception ex)
{
string msg = string.Format("rn
ClassName:
{0}rn
MethodName: {1}rn
Message:
{2}",
System.Reflection.MethodBase.GetCurrentMethod().DeclaringType.ToString(),
System.Reflection.MethodBase.GetCurrentMethod().Name,
ex.Message);
Logger.Log(msg, Logger.LogType.Error);
throw;
}
}
}
struct LineFound
{
public string Ric { get; set; }
public Rect Position { get; set; }
public int PageNumber { get; set; }
public List<PdfString> LineData { get; set; }
}

注解:

       a.由于PDF中数据坐标位置信息是基于页的所以必须按页来解析抓取数据

       b.大概思路,第一次获取“コード”位置,来获取每页中Ric List的集合(获取列并排序)

       c.根据每一列信息获取每一行信息(获取并排序),组合成表格信息

改进:

       现在这部分还需要代码中手动干预,下一步打算加入自动识别功能,通过获取大量PDF数据自动根据位置信息组合成Table信息

 

4.PDF中数据保存图片格式(未完成)

      想法:这种PDF文件我目前还没好的处理办法,应该需要用到图像识别方面的算法。对着这种文件格式表示我现在确实无能为力,

      希望那位大神提供一些好的建议。  

转载于:https://www.cnblogs.com/HaifengCai/p/3960039.html

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