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Example 21 with Point

use of org.locationtech.spatial4j.shape.Point in project lucene-solr by apache.

the class PortedSolr3Test method _checkHits.

private void _checkHits(boolean bbox, Point pt, double distKM, int assertNumFound, int... assertIds) {
    SpatialOperation op = SpatialOperation.Intersects;
    double distDEG = DistanceUtils.dist2Degrees(distKM, DistanceUtils.EARTH_MEAN_RADIUS_KM);
    Shape shape = ctx.makeCircle(pt, distDEG);
    if (bbox)
        shape = shape.getBoundingBox();
    SpatialArgs args = new SpatialArgs(op, shape);
    //args.setDistPrecision(0.025);
    Query query = strategy.makeQuery(args);
    SearchResults results = executeQuery(query, 100);
    assertEquals("" + shape, assertNumFound, results.numFound);
    if (assertIds != null) {
        Set<Integer> resultIds = new HashSet<>();
        for (SearchResult result : results.results) {
            resultIds.add(Integer.valueOf(result.document.get("id")));
        }
        for (int assertId : assertIds) {
            assertTrue("has " + assertId, resultIds.contains(assertId));
        }
    }
}
Also used : SpatialArgs(org.apache.lucene.spatial.query.SpatialArgs) Shape(org.locationtech.spatial4j.shape.Shape) Query(org.apache.lucene.search.Query) SpatialOperation(org.apache.lucene.spatial.query.SpatialOperation) Point(org.locationtech.spatial4j.shape.Point) HashSet(java.util.HashSet)

Example 22 with Point

use of org.locationtech.spatial4j.shape.Point in project lucene-solr by apache.

the class HeatmapFacetCounter method calcFacets.

/**
   * Calculates spatial 2D facets (aggregated counts) in a grid, sometimes called a heatmap.
   * Facet computation is implemented by navigating the underlying indexed terms efficiently. If you don't know exactly
   * what facetLevel to go to for a given input box but you have some sense of how many cells there should be relative
   * to the size of the shape, then consider using the logic that {@link org.apache.lucene.spatial.prefix.PrefixTreeStrategy}
   * uses when approximating what level to go to when indexing a shape given a distErrPct.
   *
   * @param context the IndexReader's context
   * @param topAcceptDocs a Bits to limit counted docs.  If null, live docs are counted.
   * @param inputShape the shape to gather grid squares for; typically a {@link Rectangle}.
   *                   The <em>actual</em> heatmap area will usually be larger since the cells on the edge that overlap
   *                   are returned. We always return a rectangle of integers even if the inputShape isn't a rectangle
   *                   -- the non-intersecting cells will all be 0.
   *                   If null is given, the entire world is assumed.
   * @param facetLevel the target depth (detail) of cells.
   * @param maxCells the maximum number of cells to return. If the cells exceed this count, an
   */
public static Heatmap calcFacets(PrefixTreeStrategy strategy, IndexReaderContext context, Bits topAcceptDocs, Shape inputShape, final int facetLevel, int maxCells) throws IOException {
    if (maxCells > (MAX_ROWS_OR_COLUMNS * MAX_ROWS_OR_COLUMNS)) {
        throw new IllegalArgumentException("maxCells (" + maxCells + ") should be <= " + MAX_ROWS_OR_COLUMNS);
    }
    if (inputShape == null) {
        inputShape = strategy.getSpatialContext().getWorldBounds();
    }
    final Rectangle inputRect = inputShape.getBoundingBox();
    //First get the rect of the cell at the bottom-left at depth facetLevel
    final SpatialPrefixTree grid = strategy.getGrid();
    final SpatialContext ctx = grid.getSpatialContext();
    final Point cornerPt = ctx.makePoint(inputRect.getMinX(), inputRect.getMinY());
    final CellIterator cellIterator = grid.getTreeCellIterator(cornerPt, facetLevel);
    Cell cornerCell = null;
    while (cellIterator.hasNext()) {
        cornerCell = cellIterator.next();
    }
    assert cornerCell != null && cornerCell.getLevel() == facetLevel : "Cell not at target level: " + cornerCell;
    final Rectangle cornerRect = (Rectangle) cornerCell.getShape();
    assert cornerRect.hasArea();
    //Now calculate the number of columns and rows necessary to cover the inputRect
    //note: we might change this below...
    double heatMinX = cornerRect.getMinX();
    final double cellWidth = cornerRect.getWidth();
    final Rectangle worldRect = ctx.getWorldBounds();
    final int columns = calcRowsOrCols(cellWidth, heatMinX, inputRect.getWidth(), inputRect.getMinX(), worldRect.getWidth());
    final double heatMinY = cornerRect.getMinY();
    final double cellHeight = cornerRect.getHeight();
    final int rows = calcRowsOrCols(cellHeight, heatMinY, inputRect.getHeight(), inputRect.getMinY(), worldRect.getHeight());
    assert rows > 0 && columns > 0;
    if (columns > MAX_ROWS_OR_COLUMNS || rows > MAX_ROWS_OR_COLUMNS || columns * rows > maxCells) {
        throw new IllegalArgumentException("Too many cells (" + columns + " x " + rows + ") for level " + facetLevel + " shape " + inputRect);
    }
    //Create resulting heatmap bounding rectangle & Heatmap object.
    final double halfCellWidth = cellWidth / 2.0;
    // if X world-wraps, use world bounds' range
    if (columns * cellWidth + halfCellWidth > worldRect.getWidth()) {
        heatMinX = worldRect.getMinX();
    }
    double heatMaxX = heatMinX + columns * cellWidth;
    if (Math.abs(heatMaxX - worldRect.getMaxX()) < halfCellWidth) {
        //numeric conditioning issue
        heatMaxX = worldRect.getMaxX();
    } else if (heatMaxX > worldRect.getMaxX()) {
        //wraps dateline (won't happen if !geo)
        heatMaxX = heatMaxX - worldRect.getMaxX() + worldRect.getMinX();
    }
    final double halfCellHeight = cellHeight / 2.0;
    double heatMaxY = heatMinY + rows * cellHeight;
    if (Math.abs(heatMaxY - worldRect.getMaxY()) < halfCellHeight) {
        //numeric conditioning issue
        heatMaxY = worldRect.getMaxY();
    }
    final Heatmap heatmap = new Heatmap(columns, rows, ctx.makeRectangle(heatMinX, heatMaxX, heatMinY, heatMaxY));
    if (topAcceptDocs instanceof Bits.MatchNoBits) {
        // short-circuit
        return heatmap;
    }
    //All ancestor cell counts (of facetLevel) will be captured during facet visiting and applied later. If the data is
    // just points then there won't be any ancestors.
    //Facet count of ancestors covering all of the heatmap:
    // single-element array so it can be accumulated in the inner class
    int[] allCellsAncestorCount = new int[1];
    //All other ancestors:
    Map<Rectangle, Integer> ancestors = new HashMap<>();
    //Now lets count some facets!
    PrefixTreeFacetCounter.compute(strategy, context, topAcceptDocs, inputShape, facetLevel, new PrefixTreeFacetCounter.FacetVisitor() {

        @Override
        public void visit(Cell cell, int count) {
            final double heatMinX = heatmap.region.getMinX();
            final Rectangle rect = (Rectangle) cell.getShape();
            if (cell.getLevel() == facetLevel) {
                //heatmap level; count it directly
                //convert to col & row
                int column;
                if (rect.getMinX() >= heatMinX) {
                    column = (int) Math.round((rect.getMinX() - heatMinX) / cellWidth);
                } else {
                    // due to dateline wrap
                    column = (int) Math.round((rect.getMinX() + 360 - heatMinX) / cellWidth);
                }
                int row = (int) Math.round((rect.getMinY() - heatMinY) / cellHeight);
                // allows adjacent cells to overlap on the seam), so we need to skip them
                if (column < 0 || column >= heatmap.columns || row < 0 || row >= heatmap.rows) {
                    return;
                }
                // increment
                heatmap.counts[column * heatmap.rows + row] += count;
            } else if (rect.relate(heatmap.region) == SpatialRelation.CONTAINS) {
                //containing ancestor
                allCellsAncestorCount[0] += count;
            } else {
                // ancestor
                // note: not particularly efficient (possible put twice, and Integer wrapper); oh well
                Integer existingCount = ancestors.put(rect, count);
                if (existingCount != null) {
                    ancestors.put(rect, count + existingCount);
                }
            }
        }
    });
    // Apply allCellsAncestorCount
    if (allCellsAncestorCount[0] > 0) {
        for (int i = 0; i < heatmap.counts.length; i++) {
            heatmap.counts[i] += allCellsAncestorCount[0];
        }
    }
    // Apply ancestors
    //  note: This approach isn't optimized for a ton of ancestor cells. We'll potentially increment the same cells
    //    multiple times in separate passes if any ancestors overlap. IF this poses a problem, we could optimize it
    //    with additional complication by keeping track of intervals in a sorted tree structure (possible TreeMap/Set)
    //    and iterate them cleverly such that we just make one pass at this stage.
    //output of intersectInterval
    int[] pair = new int[2];
    for (Map.Entry<Rectangle, Integer> entry : ancestors.entrySet()) {
        // from a cell (thus doesn't cross DL)
        Rectangle rect = entry.getKey();
        final int count = entry.getValue();
        //note: we approach this in a way that eliminates int overflow/underflow (think huge cell, tiny heatmap)
        intersectInterval(heatMinY, heatMaxY, cellHeight, rows, rect.getMinY(), rect.getMaxY(), pair);
        final int startRow = pair[0];
        final int endRow = pair[1];
        if (!heatmap.region.getCrossesDateLine()) {
            intersectInterval(heatMinX, heatMaxX, cellWidth, columns, rect.getMinX(), rect.getMaxX(), pair);
            final int startCol = pair[0];
            final int endCol = pair[1];
            incrementRange(heatmap, startCol, endCol, startRow, endRow, count);
        } else {
            // note: the cell rect might intersect 2 disjoint parts of the heatmap, so we do the left & right separately
            final int leftColumns = (int) Math.round((180 - heatMinX) / cellWidth);
            final int rightColumns = heatmap.columns - leftColumns;
            //left half of dateline:
            if (rect.getMaxX() > heatMinX) {
                intersectInterval(heatMinX, 180, cellWidth, leftColumns, rect.getMinX(), rect.getMaxX(), pair);
                final int startCol = pair[0];
                final int endCol = pair[1];
                incrementRange(heatmap, startCol, endCol, startRow, endRow, count);
            }
            //right half of dateline
            if (rect.getMinX() < heatMaxX) {
                intersectInterval(-180, heatMaxX, cellWidth, rightColumns, rect.getMinX(), rect.getMaxX(), pair);
                final int startCol = pair[0] + leftColumns;
                final int endCol = pair[1] + leftColumns;
                incrementRange(heatmap, startCol, endCol, startRow, endRow, count);
            }
        }
    }
    return heatmap;
}
Also used : SpatialContext(org.locationtech.spatial4j.context.SpatialContext) HashMap(java.util.HashMap) Rectangle(org.locationtech.spatial4j.shape.Rectangle) SpatialPrefixTree(org.apache.lucene.spatial.prefix.tree.SpatialPrefixTree) Point(org.locationtech.spatial4j.shape.Point) Point(org.locationtech.spatial4j.shape.Point) CellIterator(org.apache.lucene.spatial.prefix.tree.CellIterator) Cell(org.apache.lucene.spatial.prefix.tree.Cell) HashMap(java.util.HashMap) Map(java.util.Map)

Example 23 with Point

use of org.locationtech.spatial4j.shape.Point in project lucene-solr by apache.

the class SpatialDistanceQuery method getRangeQuery.

@Override
public Query getRangeQuery(QParser parser, SchemaField field, String part1, String part2, boolean minInclusive, boolean maxInclusive) {
    Point p1 = SpatialUtils.parsePointSolrException(part1, SpatialContext.GEO);
    Point p2 = SpatialUtils.parsePointSolrException(part2, SpatialContext.GEO);
    SchemaField latSF = subField(field, LAT, parser.getReq().getSchema());
    SchemaField lonSF = subField(field, LON, parser.getReq().getSchema());
    BooleanQuery.Builder result = new BooleanQuery.Builder();
    // points must currently be ordered... should we support specifying any two opposite corner points?
    result.add(latSF.getType().getRangeQuery(parser, latSF, Double.toString(p1.getY()), Double.toString(p2.getY()), minInclusive, maxInclusive), BooleanClause.Occur.MUST);
    result.add(lonSF.getType().getRangeQuery(parser, lonSF, Double.toString(p1.getX()), Double.toString(p2.getX()), minInclusive, maxInclusive), BooleanClause.Occur.MUST);
    return result.build();
}
Also used : BooleanQuery(org.apache.lucene.search.BooleanQuery) Point(org.locationtech.spatial4j.shape.Point)

Example 24 with Point

use of org.locationtech.spatial4j.shape.Point in project lucene-solr by apache.

the class AbstractSpatialFieldType method createSpatialQuery.

//--------------------------------------------------------------
// Query Support
//--------------------------------------------------------------
/**
   * Implemented for compatibility with geofilt &amp; bbox query parsers:
   * {@link SpatialQueryable}.
   */
@Override
public Query createSpatialQuery(QParser parser, SpatialOptions options) {
    Point pt = SpatialUtils.parsePointSolrException(options.pointStr, ctx);
    double distDeg = DistanceUtils.dist2Degrees(options.distance, options.radius);
    Shape shape = ctx.makeCircle(pt, distDeg);
    if (options.bbox)
        shape = shape.getBoundingBox();
    SpatialArgs spatialArgs = new SpatialArgs(SpatialOperation.Intersects, shape);
    return getQueryFromSpatialArgs(parser, options.field, spatialArgs);
}
Also used : SpatialArgs(org.apache.lucene.spatial.query.SpatialArgs) Shape(org.locationtech.spatial4j.shape.Shape) Point(org.locationtech.spatial4j.shape.Point)

Example 25 with Point

use of org.locationtech.spatial4j.shape.Point in project lucene-solr by apache.

the class SpatialDocMaker method makeShapeConverter.

/**
   * Optionally converts points to circles, and optionally bbox'es result.
   */
public static ShapeConverter makeShapeConverter(final SpatialStrategy spatialStrategy, Config config, String configKeyPrefix) {
    //by default does no conversion
    final double radiusDegrees = config.get(configKeyPrefix + "radiusDegrees", 0.0);
    final double plusMinus = config.get(configKeyPrefix + "radiusDegreesRandPlusMinus", 0.0);
    final boolean bbox = config.get(configKeyPrefix + "bbox", false);
    return new ShapeConverter() {

        @Override
        public Shape convert(Shape shape) {
            if (shape instanceof Point && (radiusDegrees != 0.0 || plusMinus != 0.0)) {
                Point point = (Point) shape;
                double radius = radiusDegrees;
                if (plusMinus > 0.0) {
                    //use hashCode so it's reproducibly random
                    Random random = new Random(point.hashCode());
                    radius += random.nextDouble() * 2 * plusMinus - plusMinus;
                    //can happen if configured plusMinus > radiusDegrees
                    radius = Math.abs(radius);
                }
                shape = spatialStrategy.getSpatialContext().makeCircle(point, radius);
            }
            if (bbox)
                shape = shape.getBoundingBox();
            return shape;
        }
    };
}
Also used : Shape(org.locationtech.spatial4j.shape.Shape) Random(java.util.Random) Point(org.locationtech.spatial4j.shape.Point)

Aggregations

Point (org.locationtech.spatial4j.shape.Point)71 Test (org.junit.Test)21 Shape (org.locationtech.spatial4j.shape.Shape)15 Query (org.apache.lucene.search.Query)9 SpatialArgs (org.apache.lucene.spatial.query.SpatialArgs)9 Rectangle (org.locationtech.spatial4j.shape.Rectangle)9 ArrayList (java.util.ArrayList)7 Field (org.apache.lucene.document.Field)6 PointImpl (org.locationtech.spatial4j.shape.impl.PointImpl)6 BooleanQuery (org.apache.lucene.search.BooleanQuery)5 TopDocs (org.apache.lucene.search.TopDocs)5 IOException (java.io.IOException)4 SpatialContext (org.locationtech.spatial4j.context.SpatialContext)4 Document (org.apache.lucene.document.Document)3 StoredField (org.apache.lucene.document.StoredField)3 IndexReader (org.apache.lucene.index.IndexReader)3 IndexSearcher (org.apache.lucene.search.IndexSearcher)3 ScoreDoc (org.apache.lucene.search.ScoreDoc)3 Cell (org.apache.lucene.spatial.prefix.tree.Cell)3 CellIterator (org.apache.lucene.spatial.prefix.tree.CellIterator)3