Examples with SpatialContext org.locationtech.spatial4j.context.SpatialContext used on opensource projects

Example 1 with SpatialContext

use of org.locationtech.spatial4j.context.SpatialContext in project lucene-solr by apache.

the class TestTermQueryPrefixGridStrategy method testNGramPrefixGridLosAngeles.

@Test
public void testNGramPrefixGridLosAngeles() throws IOException {
    SpatialContext ctx = SpatialContext.GEO;
    TermQueryPrefixTreeStrategy prefixGridStrategy = new TermQueryPrefixTreeStrategy(new QuadPrefixTree(ctx), "geo");
    Shape point = ctx.makePoint(-118.243680, 34.052230);
    Document losAngeles = new Document();
    losAngeles.add(new StringField("name", "Los Angeles", Field.Store.YES));
    for (Field field : prefixGridStrategy.createIndexableFields(point)) {
        losAngeles.add(field);
    }
    //just for diagnostics
    losAngeles.add(new StoredField(prefixGridStrategy.getFieldName(), point.toString()));
    addDocumentsAndCommit(Arrays.asList(losAngeles));
    // This won't work with simple spatial context...
    SpatialArgsParser spatialArgsParser = new SpatialArgsParser();
// TODO... use a non polygon query
//    SpatialArgs spatialArgs = spatialArgsParser.parse(
//        "Intersects(POLYGON((-127.00390625 39.8125,-112.765625 39.98828125,-111.53515625 31.375,-125.94921875 30.14453125,-127.00390625 39.8125)))",
//        new SimpleSpatialContext());
//    Query query = prefixGridStrategy.makeQuery(spatialArgs, fieldInfo);
//    SearchResults searchResults = executeQuery(query, 1);
//    assertEquals(1, searchResults.numFound);
}

Example 2 with SpatialContext

use of org.locationtech.spatial4j.context.SpatialContext in project lucene-solr by apache.

the class TestTestFramework method testQueries.

@Test
public void testQueries() throws IOException {
    String name = StrategyTestCase.QTEST_Cities_Intersects_BBox;
    InputStream in = getClass().getClassLoader().getResourceAsStream(name);
    SpatialContext ctx = SpatialContext.GEO;
    Iterator<SpatialTestQuery> iter = SpatialTestQuery.getTestQueries(new SpatialArgsParser(), ctx, name, //closes the InputStream
    in);
    List<SpatialTestQuery> tests = new ArrayList<>();
    while (iter.hasNext()) {
        tests.add(iter.next());
    }
    Assert.assertEquals(3, tests.size());
    SpatialTestQuery sf = tests.get(0);
    // assert
    assertEquals(1, sf.ids.size());
    Assert.assertTrue(sf.ids.get(0).equals("G5391959"));
    Assert.assertTrue(sf.args.getShape() instanceof Rectangle);
    assertEquals(SpatialOperation.Intersects, sf.args.getOperation());
}

Example 3 with SpatialContext

use of org.locationtech.spatial4j.context.SpatialContext in project lucene-solr by apache.

the class DistanceStrategyTest method parameters.

@ParametersFactory(argumentFormatting = "strategy=%s")
public static Iterable<Object[]> parameters() {
    List<Object[]> ctorArgs = new ArrayList<>();
    SpatialContext ctx = SpatialContext.GEO;
    SpatialPrefixTree grid;
    SpatialStrategy strategy;
    grid = new QuadPrefixTree(ctx, 25);
    strategy = new RecursivePrefixTreeStrategy(grid, "recursive_quad");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    grid = new GeohashPrefixTree(ctx, 12);
    strategy = new TermQueryPrefixTreeStrategy(grid, "termquery_geohash");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    grid = new PackedQuadPrefixTree(ctx, 25);
    strategy = new RecursivePrefixTreeStrategy(grid, "recursive_packedquad");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    strategy = PointVectorStrategy.newInstance(ctx, "pointvector");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    //  Can't test this without un-inverting since PVS legacy config didn't have docValues.
    //    However, note that Solr's tests use UninvertingReader and thus test this.
    //    strategy = PointVectorStrategy.newLegacyInstance(ctx, "pointvector_legacy");
    //    ctorArgs.add(new Object[]{strategy.getFieldName(), strategy});
    strategy = BBoxStrategy.newInstance(ctx, "bbox");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    strategy = new SerializedDVStrategy(ctx, "serialized");
    ctorArgs.add(new Object[] { strategy.getFieldName(), strategy });
    return ctorArgs;
}

Example 4 with SpatialContext

use of org.locationtech.spatial4j.context.SpatialContext 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;
}

Example 5 with SpatialContext

use of org.locationtech.spatial4j.context.SpatialContext in project lucene-solr by apache.

the class SpatialDocMaker method makeSpatialStrategy.

/**
   * Builds a SpatialStrategy from configuration options.
   */
protected SpatialStrategy makeSpatialStrategy(final Config config) {
    //A Map view of Config that prefixes keys with "spatial."
    Map<String, String> configMap = new AbstractMap<String, String>() {

        @Override
        public Set<Entry<String, String>> entrySet() {
            throw new UnsupportedOperationException();
        }

        @Override
        public String get(Object key) {
            return config.get("spatial." + key, null);
        }
    };
    SpatialContext ctx = SpatialContextFactory.makeSpatialContext(configMap, null);
    return makeSpatialStrategy(config, configMap, ctx);
}