//Step 2
//Busca todos os lugares no banco de dados
//Compara os nomes de todos os lugares entre si para buscar similaridades (distancia de Levenshtein normalizada)
//Insere no banco o resultado do calculo se for menor que 0.2
private static void RemoveSimilarVenues(IVenueService venueService, ILocationService locationService)
{
List <Venue> venuesToRemove = new List <Venue>();
List <Venue> venues = venueService.GetAll().ToList();
for (int i = 0; i < venues.Count - 1; i++)
{
int nextIndex = i + 1;
venues[i].SimilarVenues = venues.GetRange(nextIndex, venues.Count - nextIndex)
.Select(x => new VenueSimilarityDTO
{
Venue = new Venue
{
Id = x.Id,
Name = x.Name
}
})
.ToList();
venues[i].CalculateNameSimilarity();
foreach (var similar in venues[i].SimilarVenues)
{
if (similar.Similarity <= (decimal)0.2)
{
venues[i].Location = locationService.GetByVenueId(venues[i].Id);
similar.Venue.Location = locationService.GetByVenueId(similar.Venue.Id);
if (venues[i].Location.CalculateDistance(similar.Venue.Location) < 100)
{
venuesToRemove.Add(similar.Venue);
}
}
}
}
foreach (var venue in venuesToRemove.Distinct())
{
Console.WriteLine(venue.Name);
venueService.DeleteById(venue);
}
}
