public DistranceCustomScoreProvider(IndexReader reader, SpatialContext ctx, Point origin, double distance) : base(reader)
{
_reader = reader;
_ctx = ctx;
_origin = origin;
_distance = distance;
this._distanceCalculator = new CustomDistanceCalculator();
}
public async Task <List <NearestPlace> > GetNearest(string type, double lat, double lng, int distance)
{
var index = await CreateIndex(await new GooglePlacesService().GetDataAsync());
using (var reader = IndexReader.Open(index, true))
using (var searcher = new IndexSearcher(reader))
{
using (var analyzer = new StandardAnalyzer(LuceneNet.Util.Version.LUCENE_30))
{
var ctx = SpatialContext.GEO;
var origin = ctx.MakePoint(lat, lng);
var distanceCalculator = new CustomDistanceCalculator();
var typesQueryParser = new QueryParser(LuceneNet.Util.Version.LUCENE_30, Schema.Types, analyzer);
var typesQuery = typesQueryParser.Parse(type);
var distanceQuery = new DistanceCustomScoreQuery(typesQuery, ctx, origin, distance);
var collector = TopScoreDocCollector.Create(1000, true);
var posCollector = new PositiveScoresOnlyCollector(collector);
searcher.Search(distanceQuery, posCollector);
var matches = collector.TopDocs();
var result = new List <NearestPlace>();
foreach (var match in matches.ScoreDocs)
{
var id = match.Doc;
var doc = searcher.Doc(id);
var nearestPlace = DocToNearestPlace(doc);
nearestPlace.Distance = distanceCalculator.Calculate(ctx, doc, origin, true);
result.Add(nearestPlace);
}
return(result);
}
}
}
public async Task <List <SearchPlace> > Search(string queryString, double lat, double lng)
{
var index = await CreateIndex(await new GooglePlacesService().GetDataAsync());
using (var reader = IndexReader.Open(index, true))
using (var searcher = new IndexSearcher(reader))
{
using (var analyzer = new StandardAnalyzer(LuceneNet.Util.Version.LUCENE_30))
{
var ctx = SpatialContext.GEO;
var origin = ctx.MakePoint(lat, lng);
var distanceCalculator = new CustomDistanceCalculator();
var queryParser = new MultiFieldQueryParser(LuceneNet.Util.Version.LUCENE_30, new[] { Schema.Name, Schema.Vicinity }, analyzer);
queryParser.DefaultOperator = QueryParser.Operator.OR;
var query = queryParser.Parse(queryString);
var collector = TopScoreDocCollector.Create(1000, true);
var posCollector = new PositiveScoresOnlyCollector(collector);
searcher.Search(query, posCollector);
var matches = collector.TopDocs();
var result = new List <SearchPlace>();
foreach (var match in matches.ScoreDocs)
{
var id = match.Doc;
var doc = searcher.Doc(id);
var searchPlace = DocToSearchPlace(doc);
searchPlace.Distance = distanceCalculator.Calculate(ctx, doc, origin, true);
result.Add(searchPlace);
}
var map = new Dictionary <int, SearchPlace>();
for (int i = 0; i < matches.ScoreDocs.Length; i++)
{
map.Add(matches.ScoreDocs[i].Doc, result[i]);
}
var intermediate = map
.Join(matches.ScoreDocs, left => left.Key, right => right.Doc, (left, right) => new { left, right })
.OrderByDescending(x => x.right.Score);
var bothMatched = intermediate.Where(x => x.right.Score > 1);
var oneMatched = intermediate.Where(x => x.right.Score < 1);
result = new List <SearchPlace>();
result.AddRange(bothMatched
.OrderBy(x => x.left.Value.Distance)
.Select(x => x.left.Value)
.ToList());
result.AddRange(oneMatched
.OrderBy(x => x.left.Value.Distance)
.Select(x => x.left.Value)
.ToList());
return(result);
}
}
}
