python/tests/spatial_rdd/test_point_rdd.py

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from tests.properties.point_properties import (
    crs_envelope,
    crs_point_test,
    input_boundary,
    input_count,
    input_location,
    num_partitions,
    offset,
    splitter,
)
from tests.test_base import TestBase

from sedona.spark.core.enums import GridType, IndexType
from sedona.spark.core.geom.envelope import Envelope
from sedona.spark.core.SpatialRDD import PointRDD
from sedona.spark.core.SpatialRDD.spatial_rdd import SpatialRDD


class TestPointRDD(TestBase):

    def compare_count(self, spatial_rdd: SpatialRDD, cnt: int, envelope: Envelope):
        spatial_rdd.analyze()
        assert cnt == spatial_rdd.approximateTotalCount
        assert envelope == spatial_rdd.boundaryEnvelope

    def test_constructor(self):
        spatial_rdd = PointRDD(
            self.sc, input_location, offset, splitter, True, num_partitions
        )
        spatial_rdd.rawSpatialRDD.take(9)[0].getUserData()
        assert (
            spatial_rdd.rawSpatialRDD.take(9)[0].getUserData()
            == "testattribute0\ttestattribute1\ttestattribute2"
        )
        assert (
            spatial_rdd.rawSpatialRDD.take(9)[2].getUserData()
            == "testattribute0\ttestattribute1\ttestattribute2"
        )
        assert (
            spatial_rdd.rawSpatialRDD.take(9)[4].getUserData()
            == "testattribute0\ttestattribute1\ttestattribute2"
        )
        assert (
            spatial_rdd.rawSpatialRDD.take(9)[8].getUserData()
            == "testattribute0\ttestattribute1\ttestattribute2"
        )

        spatial_rdd_copy = PointRDD(spatial_rdd.rawJvmSpatialRDD)
        self.compare_count(spatial_rdd_copy, input_count, input_boundary)
        spatial_rdd_copy = PointRDD(spatial_rdd.rawJvmSpatialRDD)
        self.compare_count(spatial_rdd_copy, input_count, input_boundary)
        spatial_rdd_copy = PointRDD(
            self.sc, input_location, offset, splitter, True, num_partitions
        )
        self.compare_count(spatial_rdd_copy, input_count, input_boundary)
        spatial_rdd_copy = PointRDD(self.sc, crs_point_test, splitter, True)
        self.compare_count(spatial_rdd_copy, 20000, crs_envelope)

    def test_empty_constructor(self):
        spatial_rdd = PointRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            Offset=offset,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )
        spatial_rdd.buildIndex(IndexType.RTREE, False)
        spatial_rdd_copy = PointRDD()
        spatial_rdd_copy.rawJvmSpatialRDD = spatial_rdd.rawJvmSpatialRDD
        spatial_rdd_copy.analyze()

    def test_equal_partitioning(self):
        spatial_rdd = PointRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            Offset=offset,
            splitter=splitter,
            carryInputData=False,
            partitions=10,
        )
        spatial_rdd.analyze()
        spatial_rdd.spatialPartitioning(GridType.QUADTREE)

        assert (
            spatial_rdd.countWithoutDuplicates()
            == spatial_rdd.countWithoutDuplicatesSPRDD()
        )

    def test_build_index_without_set_grid(self):
        spatial_rdd = PointRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            Offset=offset,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )
        spatial_rdd.buildIndex(IndexType.RTREE, False)