python/tests/spatial_operator/test_polygon_range.py

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import os

from tests import tests_resource
from tests.test_base import TestBase

from sedona.spark.core.enums import FileDataSplitter, IndexType
from sedona.spark.core.geom.envelope import Envelope
from sedona.spark.core.spatialOperator import RangeQuery
from sedona.spark.core.SpatialRDD import PolygonRDD

input_location = os.path.join(tests_resource, "primaryroads-polygon.csv")
splitter = FileDataSplitter.CSV
gridType = "rtree"
indexType = "rtree"


class TestPolygonRange(TestBase):
    loop_times = 1
    query_envelope = Envelope(-85.01, -60.01, 34.01, 50.01)

    def test_spatial_range_query(self):
        spatial_rdd = PolygonRDD(self.sc, input_location, splitter, True)
        for i in range(self.loop_times):
            result_size = RangeQuery.SpatialRangeQuery(
                spatial_rdd, self.query_envelope, False, False
            ).count()
            assert result_size == 704

        assert (
            RangeQuery.SpatialRangeQuery(spatial_rdd, self.query_envelope, False, False)
            .take(10)[0]
            .getUserData()
            is not None
        )

    def test_spatial_range_query_using_index(self):
        spatial_rdd = PolygonRDD(self.sc, input_location, splitter, True)
        spatial_rdd.buildIndex(IndexType.RTREE, False)
        for i in range(self.loop_times):
            result_size = RangeQuery.SpatialRangeQuery(
                spatial_rdd, self.query_envelope, False, False
            ).count()
            assert result_size == 704

        assert (
            RangeQuery.SpatialRangeQuery(spatial_rdd, self.query_envelope, False, False)
            .take(10)[0]
            .getUserData()
            is not None
        )