private string Calc(List <string> lst)
{
var str = "";
foreach (var item in lst)
{
var dict2 = new Dictionary <int, float>();
for (int i = 0; i < CodeArray.Length; i++)
{
var match = new MatchsMaker(item, CodeArray[i]);
dict2.Add(i, match.Score);
}
var idx = dict2.First(p => p.Value == dict2.Max(x => x.Value)).Key;
switch (idx)
{
case 10:
idx = 1;
break;
case 11:
case 12:
idx = 0;
break;
default:
break;
}
str += idx;
}
return(str);
}
public void Classify()
{
Dictionary <Product, ProductClass> setClass = new Dictionary <Product, ProductClass>();
ProductClassRepository productClassRepository = new ProductClassRepository();
ProductRepository productRepository = new ProductRepository();
List <ProductClass> productClasses = productClassRepository.GetAllProductClasses();
List <Product> products = productRepository.GetAllProducts();
foreach (var product in products)
{
float similarity = 0.0F;
Dictionary <ProductClass, float> res = new Dictionary <ProductClass, float>();
foreach (var cl in productClasses)
{
string tagStr = "";
foreach (var tag in cl.ClassTags)
{
tagStr += tag.Tag.TagName + " ";
}
MatchsMaker match = new MatchsMaker(ReplaceBadStrings(product.Name), tagStr);
res.Add(cl, match.Score);
//if (similarity < match.Score)
//{
// similarity = match.Score;
// if (setClass.ContainsKey(product))
// {
// setClass.Remove(product);
// }
// setClass.Add(product, cl);
// string output = "Product: " + product.Name + " is " + cl.Name + "(" + tagStr + ") with " + similarity * 100.0 + "% confidence.";
// Console.WriteLine(output);
// if (!File.Exists(filePath))
// {
// File.WriteAllText(filePath, output + Environment.NewLine);
// }
// else
// {
// File.AppendAllText(filePath, output + Environment.NewLine);
// }
//}
}
var result = res.ToList();
result.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
Console.WriteLine("Лучшие 3 совпадения для " + product.Name + ":");
if (!File.Exists(filePath))
{
File.WriteAllText(filePath, "Лучшие 3 совпадения для " + product.Name + ":" + Environment.NewLine);
}
else
{
File.AppendAllText(filePath, "Лучшие 3 совпадения для " + product.Name + ":" + Environment.NewLine);
}
for (int i = 0; i < 3; i++)
{
string output = "Product: " + product.Name + " is " + result.ElementAt(i).Key.Name + " with " + result.ElementAt(i).Value * 100.0 + "% confidence.";
Console.WriteLine(output);
File.AppendAllText(filePath, output + Environment.NewLine);
}
}
}
public static MatchsMaker getInstance(string ourString, string yourString)
{
if (matchsMaker == null)
{
matchsMaker = new MatchsMaker(ourString, yourString);
}
return(matchsMaker);
}
public static MatchsMaker getInstance(string ourString, string yourString)
{
if(matchsMaker==null)
{
matchsMaker = new MatchsMaker(ourString, yourString);
}else
{
matchsMaker._lString = ourString;
matchsMaker._rString = yourString;
matchsMaker.MyInit();
}
return matchsMaker;
}
private void CompareString(object str)
{
if (string.IsNullOrEmpty(txtSentence.Text) || str == null || string.IsNullOrEmpty(str.ToString()))
{
MessageBox.Show("Sentence not found,nothing to compare");
}
else
{
//string result = ResultCompare.MakeResult(txtSentence.Text, str.ToString(), false);
float percent = MatchsMaker.getInstance(txtSentence.Text, str.ToString()).Score * 100;
string stringPercent = percent.ToString("0.##\\%");
string result = ResultCompare.MakeResultString(txtSentence.Text, str.ToString(), (int)percent);
txtProcessing.BeginInvoke(new Action(() => txtResult.Text = result));
}
}
// so danh chuoi
public static string similmarString(string sourceString, string[] chosingStrings)
{
string bestSimilar = "";
double score = 0.0;
foreach (string s in chosingStrings)
{
MatchsMaker match = new MatchsMaker(sourceString, s);
if (match.Score > score)
{
bestSimilar = s;
score = match.Score;
}
}
return(bestSimilar);
}
public void ClassifyV3()
{
Dictionary <Product, ProductClass> setClass = new Dictionary <Product, ProductClass>();
ProductClassRepository productClassRepository = new ProductClassRepository();
ProductRepository productRepository = new ProductRepository();
List <ProductClass> productClasses = productClassRepository.GetAllProductClasses();
List <Product> products = productRepository.GetAllProducts();
foreach (var product in products)
{
float similarity = 0.0F;
Dictionary <ProductClass, float> res = new Dictionary <ProductClass, float>();
foreach (var cl in productClasses)
{
MatchsMaker match = new MatchsMaker(ReplaceBadStrings(product.Name), ReplaceBadStrings(cl.Name));
res.Add(cl, match.Score);
}
var result = res.ToList();
result.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
Console.WriteLine("Лучшие 3 совпадения для " + product.Name + ":");
if (!File.Exists(filePath))
{
File.WriteAllText(filePath, "Лучшие 3 совпадения для " + product.Name + ":" + Environment.NewLine);
}
else
{
File.AppendAllText(filePath, "Лучшие 3 совпадения для " + product.Name + ":" + Environment.NewLine);
}
for (int i = 0; i < 3; i++)
{
string output = "Product: " + product.Name + " is " + result.ElementAt(i).Key.Name + " with " + result.ElementAt(i).Value * 100.0 + "% confidence.";
Console.WriteLine(output);
File.AppendAllText(filePath, output + Environment.NewLine);
}
}
}
public Product CreateProduct(string name)
{
using (var cc = new CustomersContext())
{
List <Product> products = cc.Products.ToList();
Dictionary <Product, float> scores = new Dictionary <Product, float>();
foreach (var pr in products)
{
MatchsMaker match = new MatchsMaker(pr.Name, name);
if (pr.Name == name || match.Score >= 0.85)
{
scores.Add(pr, match.Score);
}
}
Product product = null;
if (scores.Count > 0)
{
var scoresList = scores.ToList();
scoresList.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
product = scoresList.ElementAt(0).Key;
}
List <ProductClass> productClasses = cc.ProductClasses.Include(pc => pc.ClassTags.Select(ct => ct.Tag)).ToList();
float maxSimilarity = 0.0F;
ProductClass specialOne = new ProductClass();
foreach (var cl in productClasses)
{
string tagStr = "";
try
{
tagStr = string.Join(" ", cl.ClassTags.Select(ct => ct.Tag.TagName));
}
catch (Exception e)
{
continue;
}
MatchsMaker match = new MatchsMaker(name, tagStr);
if (maxSimilarity < match.Score)
{
maxSimilarity = match.Score;
specialOne = cl;
}
}
if (product == null)
{
if (specialOne != null)
{
product = cc.Products.Add(new Product()
{
Name = name,
ClassId = specialOne.Id
});
}
else
{
product = cc.Products.Add(new Product()
{
Name = name,
ClassId = NonClassifiedProductsClassId
});
}
}
else
{
product.ClassId = specialOne != null ? specialOne.Id : NonClassifiedProductsClassId;
}
cc.SaveChanges();
return(product);
}
}
// HUINYA
public void ClassifyV2()
{
TagRepository tagRepository = new TagRepository();
List <Tag> tags = tagRepository.GetAllTags();
ProductClassRepository productClassRepository = new ProductClassRepository();
ProductRepository productRepository = new ProductRepository();
List <Product> products = productRepository.GetAllProducts();
List <ProductClass> productClasses = new List <ProductClass>();
foreach (var product in products)
{
string[] terms = ReplaceBadStrings(product.Name).Split(' ');
for (int i = 0; i < terms.Length; i++)
{
Tag tagMatch = tags.Find(t => t.TagName == terms[i]);
if (tagMatch != null)
{
productClasses.AddRange(productClassRepository.GetProductClassesByTag(tagMatch));
}
}
Dictionary <ProductClass, float> res = new Dictionary <ProductClass, float>();
foreach (var productClass in productClasses)
{
string tagStr = "";
foreach (var tag in productClass.ClassTags)
{
tagStr += tag.Tag.TagName + " ";
}
MatchsMaker match = new MatchsMaker(ReplaceBadStrings(product.Name), tagStr);
res.Add(productClass, match.Score);
}
var result = res.ToList();
result.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
Console.WriteLine("Лучшие 3 совпадения для " + product.Name + ":");
if (!File.Exists(filePath))
{
File.WriteAllText(filePath, "Лучшие 5 совпадений для " + product.Name + ":" + Environment.NewLine);
}
else
{
File.AppendAllText(filePath, "Лучшие 5 совпадений для " + product.Name + ":" + Environment.NewLine);
}
if (result.Count < 5)
{
foreach (var item in result)
{
string output = "Product: " + product.Name + " is " + item.Key.Name + " with " + item.Value * 100.0 + "% confidence.";
Console.WriteLine(output);
File.AppendAllText(filePath, output + Environment.NewLine);
}
}
else
{
for (int i = 0; i < 5; i++)
{
string output = "Product: " + product.Name + " is " + result.ElementAt(i).Key.Name + " with " + result.ElementAt(i).Value * 100.0 + "% confidence.";
Console.WriteLine(output);
File.AppendAllText(filePath, output + Environment.NewLine);
}
}
}
}
