public WayModel GetClosestWay(FuzzySearchResult First, List <FuzzySearchResult> Second, CachedDataModel DataOfBot)
{
Organization _First = DataOfBot.Organizations.FirstOrDefault(x => x.OrganizationID == First.ID);
List <Organization> _Second = new List <Organization>();
foreach (var item in Second)
{
_Second.Add(DataOfBot.Organizations.FirstOrDefault(x => x.OrganizationID == item.ID));
}
return(GetClosestWay(_First, _Second, DataOfBot));
}
/// <summary>
/// Добавочный поиск по подстроке + мод. левинштейна
/// </summary>
/// <param name="text"></param>
/// <returns></returns>
public List <FuzzySearchResult> BotSecondSearch(string text)
{
List <FuzzyStringComparisonOptions> options = new List <FuzzyStringComparisonOptions>();
options.Add(FuzzyStringComparisonOptions.UseLongestCommonSubstring);
List <FuzzySearchResult> resluts = new List <FuzzySearchResult>();
foreach (var item in _collectionOfFuzzySearchResult)
{
if (!string.IsNullOrWhiteSpace(item.Name))
{
var distinction = AverageDistinction(text, item.Name.ToLower(), options);
if (distinction < _threshold)
{
item.Distinction = distinction;
resluts.Add(item);
}
// была проблема с тем, что один и тот же объект затирал себя, поэтому терялся Distinction
FuzzySearchResult temp;
if (item.DataType == FuzzySearchResultDataType.Customer)
{
temp = new FuzzySearchResult(item.Name, item.ID, item.CustomersKey, item.LocaleCity, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
else
{
temp = new FuzzySearchResult(item.Name, item.ID, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
distinction = AverageDistinction(text, ToTranslit(item.Name.ToLower()), options);
if (distinction < _threshold)
{
temp.Distinction = distinction;
resluts.Add(temp);
}
}
}
return(resluts);
}
/// <summary>
/// Поиск гудоиск
/// </summary>
/// <param name="text"></param>
/// <returns></returns>
public List <FuzzySearchResult> BotMainSearch(string text)
{
List <FuzzyStringComparisonOptions> options = new List <FuzzyStringComparisonOptions>();
options.Add((FuzzyStringComparisonOptions)MyFuzzyStringComparisonOptions.UseDamerauLevenshtein);
List <FuzzySearchResult> resluts = new List <FuzzySearchResult>();
foreach (var item in _collectionOfFuzzySearchResult)
{
if (!string.IsNullOrWhiteSpace(item.Name))
{
var sourses = item.Name.Split(' ');
FuzzySearchResult temp;
double distinction;
foreach (var sourse in sourses)
{
if (item.DataType == FuzzySearchResultDataType.Customer)
{
temp = new FuzzySearchResult(item.Name, item.ID, item.CustomersKey, item.LocaleCity, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
else
{
temp = new FuzzySearchResult(item.Name, item.ID, item.Distinction, item.Raiting, item.DataType, item.OtherData, item.KeyWords);
}
distinction = AverageDistinction(text, sourse, options);
if (distinction < _threshold)
{
temp.Distinction = distinction;
resluts.Add(temp);
}
if (item.DataType == FuzzySearchResultDataType.Customer)
{
temp = new FuzzySearchResult(item.Name, item.ID, item.CustomersKey, item.LocaleCity, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
else
{
temp = new FuzzySearchResult(item.Name, item.ID, item.Distinction, item.Raiting, item.DataType, item.OtherData, item.KeyWords);
}
distinction = AverageDistinction(text, ToTranslit(sourse), options);
if (distinction < _threshold)
{
temp.Distinction = distinction;
resluts.Add(temp);
}
}
#region KeyWordsSearch
if (item.KeyWords != null)
{
char[] splitters = { '~', '@', '#', '$', '%', '^', '&', '*', '(', ')', '_', '-', '+', '=', '!', '"', '№', ';', '%', ':', '?', '.', ',', '/', '<', '|', '>', '`', '\\', '\'', ' ' };
List <string> KeyWords = item.KeyWords.Split(',').Select(e => e.Trim(splitters)).Where(x => !string.IsNullOrWhiteSpace(x)).ToList();
foreach (string keyWord in KeyWords)
{
if (!string.IsNullOrWhiteSpace(keyWord))
{
if (item.DataType == FuzzySearchResultDataType.Customer)
{
temp = new FuzzySearchResult(item.Name, item.ID, item.CustomersKey, item.LocaleCity, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
else
{
temp = new FuzzySearchResult(item.Name, item.ID, item.Distinction, item.Raiting, item.DataType, item.OtherData, item.KeyWords);
}
distinction = AverageDistinction(text, keyWord, options) * 1.5;
if (distinction < _threshold)
{
if (distinction == 0)
{
distinction = 0.00001;
}
temp.Distinction = distinction;
resluts.Add(temp);
}
if (distinction == 0)
{
break;
}
if (item.DataType == FuzzySearchResultDataType.Customer)
{
temp = new FuzzySearchResult(item.Name, item.ID, item.CustomersKey, item.LocaleCity, item.Distinction, item.Raiting, item.DataType, item.KeyWords);
}
else
{
temp = new FuzzySearchResult(item.Name, item.ID, item.Distinction, item.Raiting, item.DataType, item.OtherData, item.KeyWords);
}
distinction = AverageDistinction(text, ToTranslit(keyWord), options) * 1.5;
if (distinction < _threshold)
{
if (distinction == 0)
{
distinction = 0.00001;
}
temp.Distinction = distinction;
resluts.Add(temp);
}
if (distinction == 0.00001)
{
break;
}
}
}
}
#endregion
}
}
return(resluts);
}