# -*- encoding: utf-8 -*-
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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
#
#    http://www.apache.org/licenses/LICENSE-2.0
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from pyspark.sql.functions import sha2
from pyspark.sql.utils import (
    AnalysisException,
    ParseException,
    IllegalArgumentException,
    SparkUpgradeException,
)
from pyspark.testing.sqlutils import ReusedSQLTestCase
from pyspark.sql.functions import to_date, unix_timestamp, from_unixtime


class UtilsTests(ReusedSQLTestCase):
    def test_capture_analysis_exception(self):
        self.assertRaises(AnalysisException, lambda: self.spark.sql("select abc"))
        self.assertRaises(AnalysisException, lambda: self.df.selectExpr("a + b"))

    def test_capture_user_friendly_exception(self):
        try:
            self.spark.sql("select `中文字段`")
        except AnalysisException as e:
            self.assertRegex(str(e), "Column '`中文字段`' does not exist")

    def test_spark_upgrade_exception(self):
        # SPARK-32161 : Test case to Handle SparkUpgradeException in pythonic way
        df = self.spark.createDataFrame([("2014-31-12",)], ["date_str"])
        df2 = df.select(
            "date_str", to_date(from_unixtime(unix_timestamp("date_str", "yyyy-dd-aa")))
        )
        self.assertRaises(SparkUpgradeException, df2.collect)

    def test_capture_parse_exception(self):
        self.assertRaises(ParseException, lambda: self.spark.sql("abc"))

    def test_capture_illegalargument_exception(self):
        self.assertRaisesRegex(
            IllegalArgumentException,
            "Setting negative mapred.reduce.tasks",
            lambda: self.spark.sql("SET mapred.reduce.tasks=-1"),
        )
        df = self.spark.createDataFrame([(1, 2)], ["a", "b"])
        self.assertRaisesRegex(
            IllegalArgumentException,
            "1024 is not in the permitted values",
            lambda: df.select(sha2(df.a, 1024)).collect(),
        )
        try:
            df.select(sha2(df.a, 1024)).collect()
        except IllegalArgumentException as e:
            self.assertRegex(e.desc, "1024 is not in the permitted values")
            self.assertRegex(e.stackTrace, "org.apache.spark.sql.functions")

    def test_get_error_class_state(self):
        # SPARK-36953: test CapturedException.getErrorClass and getSqlState (from SparkThrowable)
        try:
            self.spark.sql("""SELECT a""")
        except AnalysisException as e:
            self.assertEquals(e.getErrorClass(), "MISSING_COLUMN")
            self.assertEquals(e.getSqlState(), "42000")


if __name__ == "__main__":
    import unittest
    from pyspark.sql.tests.test_utils 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)
