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# Licensed to the Apache Software Foundation (ASF) under one or more
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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
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#    http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#

import unittest

from pyspark.sql.tests.test_dataframe import DataFrameTestsMixin
from pyspark.testing.connectutils import ReusedConnectTestCase


class DataFrameParityTests(DataFrameTestsMixin, ReusedConnectTestCase):
    @unittest.skip("Spark Connect does not support RDD but the tests depend on them.")
    def test_help_command(self):
        super().test_help_command()

    # TODO(SPARK-41527): Implement DataFrame.observe
    @unittest.skip("Fails in Spark Connect, should enable.")
    def test_observe(self):
        super().test_observe()

    # TODO(SPARK-41625): Support Structured Streaming
    @unittest.skip("Fails in Spark Connect, should enable.")
    def test_observe_str(self):
        super().test_observe_str()

    # TODO(SPARK-41873): Implement DataFrame `pandas_api`
    @unittest.skip("Fails in Spark Connect, should enable.")
    def test_pandas_api(self):
        super().test_pandas_api()

    @unittest.skip("Spark Connect does not support RDD but the tests depend on them.")
    def test_repartitionByRange_dataframe(self):
        super().test_repartitionByRange_dataframe()

    @unittest.skip("Spark Connect does not SparkContext but the tests depend on them.")
    def test_same_semantics_error(self):
        super().test_same_semantics_error()

    # Spark Connect throws `IllegalArgumentException` when calling `collect` instead of `sample`.
    def test_sample(self):
        super().test_sample()

    @unittest.skip("Spark Connect does not support RDD but the tests depend on them.")
    def test_toDF_with_schema_string(self):
        super().test_toDF_with_schema_string()

    def test_to_local_iterator_not_fully_consumed(self):
        self.check_to_local_iterator_not_fully_consumed()

    def test_to_pandas_for_array_of_struct(self):
        # Spark Connect's implementation is based on Arrow.
        super().check_to_pandas_for_array_of_struct(True)

    def test_to_pandas_from_null_dataframe(self):
        self.check_to_pandas_from_null_dataframe()

    def test_to_pandas_on_cross_join(self):
        self.check_to_pandas_on_cross_join()

    def test_to_pandas_from_empty_dataframe(self):
        self.check_to_pandas_from_empty_dataframe()

    def test_to_pandas_with_duplicated_column_names(self):
        self.check_to_pandas_with_duplicated_column_names()

    def test_to_pandas_from_mixed_dataframe(self):
        self.check_to_pandas_from_mixed_dataframe()

    def test_toDF_with_string(self):
        super().test_toDF_with_string()


if __name__ == "__main__":
    import unittest
    from pyspark.sql.tests.connect.test_parity_dataframe import *  # noqa: F401

    try:
        import xmlrunner  # type: ignore[import]

        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
    except ImportError:
        testRunner = None
    unittest.main(testRunner=testRunner, verbosity=2)