public ActionResult Download()
{
try
{
ArticleGradingInfo articleGradingInfo = TempData["articleInfo"] as ArticleGradingInfo;
string name, path;
name = articleGradingInfo.Name == null ? "Article" : articleGradingInfo.Name;
path = HttpContext.Server.MapPath(string.Format(@"~\{0}.docx", name));
DocX doc = CreateDocX(articleGradingInfo, path);
FileStream docFile = new FileStream(path, FileMode.Open, FileAccess.Read);
MemoryStream docMemory = new MemoryStream();
docFile.Seek(0, SeekOrigin.Begin);
docFile.CopyTo(docMemory);
docFile.Close();
System.IO.File.Delete(path);
return(File(docMemory.ToArray(), "application/vnd.openxmlformats-officedocument.wordprocessingml.document", string.Format("{0} - Result.docx", name)));
}
catch (Exception e)
{
Logger.Instance.WriteLine("An error occurred while trying to download Article {0}", e.Message);
return(RedirectToAction("Error", "HomeController"));
}
}
private DocX CreateDocX(ArticleGradingInfo i_ArticleGradingInfo, string i_Path)
{
using (DocX doc = DocX.Create(i_Path))
{
Paragraph stat = doc.InsertParagraph("Result:").Font(new System.Drawing.FontFamily("Arial")).FontSize(15D).Bold().UnderlineStyle(UnderlineStyle.singleLine);
stat.AppendLine(string.Format("Common: {0}%, {1} \nNormal: {2}%, {3} \nRare: {4}%, {5} \nScore: {6} \nNumber Of Words: {7}\n\n\n"
, Math.Round((double)i_ArticleGradingInfo.CommonWords.Count / i_ArticleGradingInfo.CleanedWords.Count * 100), i_ArticleGradingInfo.CommonWords.Count
, Math.Round((double)i_ArticleGradingInfo.NormalWords.Count / i_ArticleGradingInfo.CleanedWords.Count * 100), i_ArticleGradingInfo.NormalWords.Count
, Math.Round((double)i_ArticleGradingInfo.RareWords.Count / i_ArticleGradingInfo.CleanedWords.Count * 100), i_ArticleGradingInfo.RareWords.Count
, Math.Round(100 - ((i_ArticleGradingInfo.NormalWords.Count * 0.5f + i_ArticleGradingInfo.RareWords.Count) * 100 / i_ArticleGradingInfo.CleanedWords.Count)).ToString()
, i_ArticleGradingInfo.CleanedWords.Count.ToString()));
stat.FontSize(13D);
Paragraph wordParagraph = doc.InsertParagraph();
foreach (string word in i_ArticleGradingInfo.Words)
{
string cleanedWord = TextGrading.CleanWord(word).ToLower();
wordParagraph.Append(word);
wordParagraph.Font(new System.Drawing.FontFamily("Arial"));
wordParagraph.FontSize(12D);
wordParagraph.Bold();
if (i_ArticleGradingInfo.RareWords.Contains(cleanedWord))
{
wordParagraph.Color(System.Drawing.Color.Red);
}
else if (i_ArticleGradingInfo.NormalWords.Contains(cleanedWord))
{
wordParagraph.Color(System.Drawing.Color.Orange);
}
else
{
wordParagraph.Color(System.Drawing.Color.Black);
}
}
doc.Save();
return(doc);
}
}
public ActionResult Index(string ContentTA, HttpPostedFileBase ArticleFU)
{
ArticleGradingInfo articleGradingInfo = null;
bool fileCantBeGraded = false;
string text = null;
if (ArticleFU != null)
{
if (ArticleFU.VerifyArticleType())
{
try
{
string extension = ArticleFU.FileName.ToLower().Substring(ArticleFU.FileName.LastIndexOf('.') + 1);
text = TextGrading.LoadTextFromFile(ArticleFU.InputStream, extension);
articleGradingInfo = TextGrading.AnalyzeSingleText(text);
articleGradingInfo.Name = ArticleFU.FileName.Substring(0, ArticleFU.FileName.LastIndexOf('.'));
Logger.UpdateNumberOfUses(1);
}
catch
{
fileCantBeGraded = true;
}
}
else
{
fileCantBeGraded = true;
}
}
else
{
articleGradingInfo = TextGrading.AnalyzeSingleText(ContentTA);
Logger.UpdateNumberOfUses(1);
}
if (fileCantBeGraded)
{
articleGradingInfo = new ArticleGradingInfo();
articleGradingInfo.Error = "File can not be graded.";
}
return(View(articleGradingInfo));
}
private List <ArticleGradingInfo> getArticlesGradingInfoList(IEnumerable <HttpPostedFileBase> i_Articles)
{
List <ArticleGradingInfo> articlesGradingInfo = new List <ArticleGradingInfo>();
string text = null, name;
if (i_Articles != null)
{
foreach (var article in i_Articles)
{
ArticleGradingInfo currentArticleInfo = null;
if (article.VerifyArticleType())
{
try
{
string extension = article.FileName.ToLower().Substring(article.FileName.LastIndexOf('.') + 1);
name = article.FileName.ToLower().Substring(0, article.FileName.LastIndexOf('.'));
text = TextGrading.LoadTextFromFile(article.InputStream, extension);
currentArticleInfo = TextGrading.AnalyzeSingleText(text);
currentArticleInfo.Name = name + extension;
}
catch
{
articlesGradingInfo.Clear();
break;
}
}
else
{
articlesGradingInfo.Clear();
break;
}
if (!string.IsNullOrEmpty(text) && currentArticleInfo.Error == null)
{
articlesGradingInfo.Add(currentArticleInfo);
}
}
}
return(articlesGradingInfo);
}
public static ArticleGradingInfo AnalyzeSingleText(string i_Text)
{
ArticleGradingInfo articleGradingInfo;
if (string.IsNullOrWhiteSpace(i_Text))
{
articleGradingInfo = new ArticleGradingInfo();
articleGradingInfo.Error = "Article is empty.";
}
else
{
if (!m_WordsLoaded)
{
loadWords();
}
articleGradingInfo = analyzeArticle(i_Text);
}
return(articleGradingInfo);
}
private static ArticleGradingInfo analyzeArticle(string i_Article)
{
List <string> cleanedWords = getCleanedWords(i_Article);
ArticleGradingInfo articleGradingInfo = new ArticleGradingInfo();
articleGradingInfo.Content = i_Article;
articleGradingInfo.CommonWords = getWordsInRange(cleanedWords, m_Common, int.MaxValue);
articleGradingInfo.NormalWords = getWordsInRange(cleanedWords, m_Normal, m_Common - 1);
articleGradingInfo.RareWords = getWordsInRange(cleanedWords, 0, m_Normal - 1);
foreach (string splitOption in sr_SplitOptions)
{
i_Article = i_Article.Replace(splitOption, "\0" + splitOption + "\0");
}
articleGradingInfo.CleanedWords = cleanedWords;
articleGradingInfo.Words = i_Article.Split(new char[] { '\0' }, StringSplitOptions.RemoveEmptyEntries);
articleGradingInfo.Score = cleanedWords.Count;
return(articleGradingInfo);
}