public static IEnumerable <SimMetricResult> GetSimilarities(this string first, IEnumerable <string> second, SimMetricType simMetricType = SimMetricType.Levenstein, bool convertToPercentage = false)
{
var list = new List <SimMetricResult>();
foreach (var item in second)
{
var rank = first.GetSimilarity(item, simMetricType);
list.Add(new SimMetricResult {
Item = item, Score = convertToPercentage.GetPercentageIf(rank)
});
}
return(list);
}
public static IEnumerable <string> ContainsFuzzy(this IEnumerable <string> source, string search, double threshold = 0.7, SimMetricType simMetricType = SimMetricType.Levenstein)
{
foreach (var item in source)
{
var status = item.ContainsFuzzy(search, threshold, simMetricType);
if (status)
{
yield return(item);
}
}
}
public static SimMetricResult GetMinSimilarityInfo(this string first, IEnumerable <string> second, SimMetricType simMetricType = SimMetricType.Levenstein, bool convertToPercentage = false)
{
var list = new List <SimMetricResult>();
foreach (var item in second)
{
var rank = first.GetSimilarity(item, simMetricType);
list.Add(new SimMetricResult {
Item = item, Score = convertToPercentage.GetPercentageIf(rank)
});
}
var result = list.OrderBy(x => x.Score).First();
return(result);
}
private static double ApproximatelyEquals(this string firstWord, string secondWord, SimMetricType simMetricType = SimMetricType.Levenstein)
{
switch (simMetricType)
{
case SimMetricType.BlockDistance:
var sim2 = new BlockDistance();
return(sim2.GetSimilarity(firstWord, secondWord));
case SimMetricType.ChapmanLengthDeviation:
var sim3 = new ChapmanLengthDeviation();
return(sim3.GetSimilarity(firstWord, secondWord));
case SimMetricType.CosineSimilarity:
var sim4 = new CosineSimilarity();
return(sim4.GetSimilarity(firstWord, secondWord));
case SimMetricType.DiceSimilarity:
var sim5 = new DiceSimilarity();
return(sim5.GetSimilarity(firstWord, secondWord));
case SimMetricType.EuclideanDistance:
var sim6 = new EuclideanDistance();
return(sim6.GetSimilarity(firstWord, secondWord));
case SimMetricType.JaccardSimilarity:
var sim7 = new JaccardSimilarity();
return(sim7.GetSimilarity(firstWord, secondWord));
case SimMetricType.Jaro:
var sim8 = new Jaro();
return(sim8.GetSimilarity(firstWord, secondWord));
case SimMetricType.JaroWinkler:
var sim9 = new JaroWinkler();
return(sim9.GetSimilarity(firstWord, secondWord));
case SimMetricType.MatchingCoefficient:
var sim10 = new MatchingCoefficient();
return(sim10.GetSimilarity(firstWord, secondWord));
case SimMetricType.MongeElkan:
var sim11 = new MongeElkan();
return(sim11.GetSimilarity(firstWord, secondWord));
case SimMetricType.NeedlemanWunch:
var sim12 = new NeedlemanWunch();
return(sim12.GetSimilarity(firstWord, secondWord));
case SimMetricType.OverlapCoefficient:
var sim13 = new OverlapCoefficient();
return(sim13.GetSimilarity(firstWord, secondWord));
case SimMetricType.QGramsDistance:
var sim14 = new QGramsDistance();
return(sim14.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWaterman:
var sim15 = new SmithWaterman();
return(sim15.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWatermanGotoh:
var sim16 = new SmithWatermanGotoh();
return(sim16.GetSimilarity(firstWord, secondWord));
case SimMetricType.SmithWatermanGotohWindowedAffine:
var sim17 = new SmithWatermanGotohWindowedAffine();
return(sim17.GetSimilarity(firstWord, secondWord));
case SimMetricType.ChapmanMeanLength:
var sim18 = new ChapmanMeanLength();
return(sim18.GetSimilarity(firstWord, secondWord));
default:
var sim1 = new Levenstein();
return(sim1.GetSimilarity(firstWord, secondWord));
}
}
public static double Similarity(this string source, string target, bool ignoreCase = false, SimMetricType simMetricType = SimMetricType.Levenstein)
{
source = ignoreCase ? source.ToLowerInvariant() : source;
target = ignoreCase ? target.ToLowerInvariant() : target;
return(source.ApproximatelyEquals(target, simMetricType));
}
public IMatcher Map([CanBeNull] MatcherModel matcher)
{
if (matcher == null)
{
return(null);
}
string[] parts = matcher.Name.Split('.');
string matcherName = parts[0];
string matcherType = parts.Length > 1 ? parts[1] : null;
string[] stringPatterns = matcher.Patterns != null?matcher.Patterns.OfType <string>().ToArray() : new[] { matcher.Pattern as string };
MatchBehaviour matchBehaviour = matcher.RejectOnMatch == true ? MatchBehaviour.RejectOnMatch : MatchBehaviour.AcceptOnMatch;
switch (matcherName)
{
case "CSharpCodeMatcher":
if (_settings.AllowCSharpCodeMatcher == true)
{
return(new CSharpCodeMatcher(matchBehaviour, stringPatterns));
}
throw new NotSupportedException("It's not allowed to use the 'CSharpCodeMatcher' because IWireMockServerSettings.AllowCSharpCodeMatcher is not set to 'true'.");
case "LinqMatcher":
return(new LinqMatcher(matchBehaviour, stringPatterns));
case "ExactMatcher":
return(new ExactMatcher(matchBehaviour, stringPatterns));
case "ExactObjectMatcher":
return(CreateExactObjectMatcher(matchBehaviour, stringPatterns[0]));
case "RegexMatcher":
return(new RegexMatcher(matchBehaviour, stringPatterns, matcher.IgnoreCase == true));
case "JsonMatcher":
return(new JsonMatcher(matchBehaviour, matcher.Pattern, matcher.IgnoreCase == true));
case "JsonPathMatcher":
return(new JsonPathMatcher(matchBehaviour, stringPatterns));
case "JmesPathMatcher":
return(new JmesPathMatcher(matchBehaviour, stringPatterns));
case "XPathMatcher":
return(new XPathMatcher(matchBehaviour, stringPatterns));
case "WildcardMatcher":
return(new WildcardMatcher(matchBehaviour, stringPatterns, matcher.IgnoreCase == true));
case "ContentTypeMatcher":
return(new ContentTypeMatcher(matchBehaviour, stringPatterns, matcher.IgnoreCase == true));
case "SimMetricsMatcher":
SimMetricType type = SimMetricType.Levenstein;
if (!string.IsNullOrEmpty(matcherType) && !Enum.TryParse(matcherType, out type))
{
throw new NotSupportedException($"Matcher '{matcherName}' with Type '{matcherType}' is not supported.");
}
return(new SimMetricsMatcher(matchBehaviour, stringPatterns, type));
default:
throw new NotSupportedException($"Matcher '{matcherName}' is not supported.");
}
}
