python/tests/spatial_rdd/test_linestring_rdd.py

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#
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from tests.properties.linestring_properties import (
    grid_type,
    input_boundary,
    input_boundary_2,
    input_count,
    input_location,
    num_partitions,
    splitter,
)
from tests.test_base import TestBase

from sedona.spark.core.enums import IndexType
from sedona.spark.core.geom.envelope import Envelope
from sedona.spark.core.SpatialRDD import LineStringRDD


class TestLineStringRDD(TestBase):

    def compare_count(self, spatial_rdd: LineStringRDD, envelope: Envelope, count: int):

        spatial_rdd.analyze()

        assert count == spatial_rdd.approximateTotalCount
        assert envelope == spatial_rdd.boundaryEnvelope

    def test_constructor(self):
        spatial_rdd_core = LineStringRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )

        self.compare_count(spatial_rdd_core, input_boundary, input_count)

        self.compare_count(spatial_rdd_core, input_boundary, input_count)

        spatial_rdd = LineStringRDD(spatial_rdd_core.rawJvmSpatialRDD)

        self.compare_count(spatial_rdd, input_boundary, input_count)

        spatial_rdd = LineStringRDD(
            self.sc, input_location, 0, 3, splitter, True, num_partitions
        )

        self.compare_count(spatial_rdd, input_boundary_2, input_count)

        spatial_rdd = LineStringRDD(self.sc, input_location, 0, 3, splitter, True)

        self.compare_count(spatial_rdd, input_boundary_2, input_count)

        spatial_rdd = LineStringRDD(
            self.sc, input_location, splitter, True, num_partitions
        )

        self.compare_count(spatial_rdd, input_boundary, input_count)

        spatial_rdd = LineStringRDD(self.sc, input_location, splitter, True)

        self.compare_count(spatial_rdd, input_boundary, input_count)

        spatial_rdd = LineStringRDD(spatial_rdd_core.rawJvmSpatialRDD)

        self.compare_count(spatial_rdd, input_boundary, input_count)

        spatial_rdd = LineStringRDD(
            self.sc, input_location, 0, 3, splitter, True, num_partitions
        )

        self.compare_count(spatial_rdd, input_boundary_2, input_count)

    def test_empty_constructor(self):
        spatial_rdd = LineStringRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )

        spatial_rdd.analyze()
        spatial_rdd.spatialPartitioning(grid_type)
        spatial_rdd.buildIndex(IndexType.RTREE, True)
        spatial_rdd_copy = LineStringRDD()
        spatial_rdd_copy.rawJvmSpatialRDD = spatial_rdd.rawJvmSpatialRDD
        spatial_rdd_copy.analyze()

    def test_build_index_without_set_grid(self):
        spatial_rdd = LineStringRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )

        spatial_rdd.analyze()
        spatial_rdd.buildIndex(IndexType.RTREE, False)

    def test_mbr(self):
        linestring_rdd = LineStringRDD(
            sparkContext=self.sc,
            InputLocation=input_location,
            splitter=splitter,
            carryInputData=True,
            partitions=num_partitions,
        )

        rectangle_rdd = linestring_rdd.MinimumBoundingRectangle()
        result = rectangle_rdd.rawSpatialRDD.collect()

        assert result.__len__() > -1