private List <RecognitionResulType> MatchFrasesPNA(string city, string street, string pna)
{
List <RecognitionResulType> Results = new List <RecognitionResulType>();
string input = city + street;
input = ZnakiPL(RemoveAllSpecialCharacters(input, true, true, true, true)).ToLower();
List <DictType> DictByPNA = new List <DictType>();
DictByPNA = (from o in Dict
where ZnakiPL(RemoveAllSpecialCharacters(o.CITY_STREET_LOWER(), true, true, true, true)) == ZnakiPL(RemoveAllSpecialCharacters(city.ToLower(), true, true, true, true))
select o).ToList();
if (DictByPNA.Count == 1)
{
if (ZnakiPL(RemoveAllSpecialCharacters(DictByPNA[0].CITY_STREET_LOWER(), true, true, true, true)).Contains(ZnakiPL(RemoveAllSpecialCharacters(street.ToLower(), true, true, true, true))))
{
RecognitionResulType R = new RecognitionResulType();
R.Input = city + " " + street + " " + pna;
R.Method = "MatchFrases_By_PNA";
R.ResultDict = DictByPNA[0];
R.MatchPercentage = 100.00;
if (!Results.Contains(R))
{
Results.Add(R);
}
}
}
foreach (var o in DictByPNA)
{
string dictfraase = ZnakiPL(RemoveAllSpecialCharacters(o.CITY_STREET_LOWER(), true, true, true, true)).ToLower();
if (dictfraase.Contains(ZnakiPL(RemoveAllSpecialCharacters(city, true, true, true, true)).ToLower()))
{
if (dictfraase.Contains(ZnakiPL(RemoveAllSpecialCharacters(street, true, true, true, true)).ToLower()))
{
RecognitionResulType R = new RecognitionResulType();
R.Input = city + " " + street + " " + pna;
R.Method = "MatchFrasesPNA_ByCityStreet";
R.ResultDict = o;
R.MatchPercentage = 100.00;
if (!Results.Contains(R))
{
Results.Add(R);
}
}
}
}
foreach (var o in DictByPNA)
{
string dictfraase = ZnakiPL(RemoveAllSpecialCharacters(o.CITY_STREET_LOWER(), true, true, true, true)).ToLower();
foreach (var cityword in city.Split(' '))
{
if (dictfraase.Contains(ZnakiPL(cityword).ToLower()))
{
foreach (var streetword in street.Split(' '))
{
if (dictfraase.Contains(ZnakiPL(streetword).ToLower()))
{
RecognitionResulType R = new RecognitionResulType();
R.Input = city + " " + street + " " + pna;
R.Method = "MatchFrasesPNA_ByPartOf_CityStreet";
R.ResultDict = o;
R.MatchPercentage = 100.00;
if (!Results.Contains(R))
{
Results.Add(R);
}
}
}
}
}
}
if (Results.Count == 0)
{
DictByPNA = (from o in Dict
where o.PNA == pna
select o).ToList();
if (DictByPNA.Count == 1)
{
double perm = PercentageMatcher(DictByPNA[0].Street, street);
if (perm > PercentageMatcherPrecision)
{
RecognitionResulType R = new RecognitionResulType();
R.Input = city + " " + street + " " + pna;
R.Method = "MatchFrases_By_PNA";
R.ResultDict = DictByPNA[0];
R.MatchPercentage = 100.00;
if (!Results.Contains(R))
{
Results.Add(R);
}
}
else
{
NoMatched.Add(city + "_" + street + "_" + pna + "_" + perm);
}
}
}
return(DistResults(Results));
}
public List <RecognitionResulType> Match(string city, string street, string pna)
{
city = WordRecognizerType.RemoveAllSpecialCharacters(city, true, true, true, false);
street = WordRecognizerType.RemoveAllSpecialCharacters(street, true, true, true, false);
pna = pna.Replace("-", "").Replace(" ", "");
city = city.ToLower();
street = street.ToLower();
pna = pna.ToLower();
if (string.IsNullOrEmpty(city))
{
NoMatched.Add(city + "_" + street + "_" + pna);
return(new List <RecognitionResulType>());
}
if (string.IsNullOrEmpty(pna))
{
new List <RecognitionResulType>();
}
street = street.Replace("ul.", "");
street = street.ToLower().Replace("ul.", " ").Replace("Ul.", "");
if (street.ToLower().StartsWith("ul "))
{
street = street.Substring(3, street.Length - 3);
}
street = street.Replace("pl.", "");
street = street.ToLower().Replace("pl.", " ").Replace("Pl.", "");
if (street.ToLower().StartsWith("pl "))
{
street = street.Substring(3, street.Length - 3);
}
List <RecognitionResulType> Results = new List <RecognitionResulType>();
if (UseMatchAlias == true)
{
Results = MatchAlias(city + street);
}
if (Results.Count == 0)
{
if (UseMatchEquals == true)
{
Results = MatchEquals(city, street, pna).ToList();
}
}
if (Results.Count == 0)
{
if (UseMatchFrases == true)
{
Results = MatchFrases(city, street, pna).ToList();
}
}
if (Results.Count == 0)
{
if (UseContainsFrases == true)
{
Results = ContainsFrases(city, street, pna).ToList();
}
}
if (Results.Count == 0)
{
if (UseMatchFrasesPNA == true)
{
Results = MatchFrasesPNA(city, street, pna).ToList();
}
}
if (Results.Count > 1)
{
List <string> DistResults = new List <string>();
var dist = (from o in Results
select o.ResultDict.City + o.ResultDict.Street).Distinct().ToList();
var ndResults = Results;
if (UseMatchFrasesPNA == true)
{
Results = MatchFrasesPNA(city, street, pna).ToList();
}
if (Results.Count == 0)
{
if (dist.Count > 1)
{
RecognitionResulType.ResulDecisionType nd = new RecognitionResulType.ResulDecisionType();
nd.input = city + "_" + street + "_" + pna;
nd.Results = ndResults;
NeedDecision.Add(nd);
}
NoMatched.Add(city + "_" + street + "_" + pna);
return(new List <RecognitionResulType>());
}
}
if (Results.Count == 0)
{
NoMatched.Add(city + "_" + street + "_" + pna);
}
return(DistResults(Results));
}