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test_util.py
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import decimal
import datetime
from datetime import timezone, timedelta
from databricks.sql.utils import convert_to_assigned_datatypes_in_column_table
class TestUtils:
def get_column_table_and_description(self):
table_description = [
("id", "int", None, None, None, None, None),
("varchar_column", "string", None, None, None, None, None),
("boolean_column", "boolean", None, None, None, None, None),
("integer_column", "int", None, None, None, None, None),
("bigint_column", "bigint", None, None, None, None, None),
("smallint_column", "smallint", None, None, None, None, None),
("tinyint_column", "tinyint", None, None, None, None, None),
("float_column", "float", None, None, None, None, None),
("double_column", "double", None, None, None, None, None),
("decimal_column", "decimal", None, None, 10, 2, None),
("date_column", "date", None, None, None, None, None),
("timestamp_column", "timestamp", None, None, None, None, None),
("timestamp_ntz_column", "timestamp", None, None, None, None, None),
("timestamp_column_2", "timestamp", None, None, None, None, None),
("timestamp_column_3", "timestamp", None, None, None, None, None),
("timestamp_column_4", "timestamp", None, None, None, None, None),
("timestamp_column_5", "timestamp", None, None, None, None, None),
("timestamp_column_6", "timestamp", None, None, None, None, None),
("timestamp_column_7", "timestamp", None, None, None, None, None),
("binary_column", "binary", None, None, None, None, None),
("array_column", "array", None, None, None, None, None),
("map_column", "map", None, None, None, None, None),
("struct_column", "struct", None, None, None, None, None),
("variant_column", "string", None, None, None, None, None),
]
column_table = [
(9,),
("Test Varchar",),
(True,),
(123,),
(9876543210,),
(32000,),
(120,),
(1.23,),
(4.56,),
("7890.12",),
("2023-12-31",),
("2023-12-31 12:30:00",),
("2023-12-31 12:30:00",),
("2021-09-30 11:27:35.123",),
("03/08/2024 02:30:15 PM",),
("08-Mar-2024 14:30:15",),
("2024-03-16T14:30:25.123",),
("2025-03-16T12:30:45+0530",),
("2025-03-16 12:30:45 +0530",),
(b"\xde\xad\xbe\xef",),
('["item1","item2"]',),
('{"key1":"value1","key2":"value2"}',),
('{"name":"John","age":30}',),
('"semi-structured data"',),
]
return column_table, table_description
def test_convert_to_assigned_datatypes_in_column_table(self):
column_table, description = self.get_column_table_and_description()
converted_column_table = convert_to_assigned_datatypes_in_column_table(
column_table, description
)
# (data , datatype)
expected_convertion = [
(9, int),
("Test Varchar", str),
(True, bool),
(123, int),
(9876543210, int),
(32000, int),
(120, int),
(1.23, float),
(4.56, float),
(decimal.Decimal("7890.12"), decimal.Decimal),
(datetime.date(2023, 12, 31), datetime.date),
(datetime.datetime(2023, 12, 31, 12, 30, 0), datetime.datetime),
(datetime.datetime(2023, 12, 31, 12, 30, 0), datetime.datetime),
(datetime.datetime(2021, 9, 30, 11, 27, 35, 123000), datetime.datetime),
(datetime.datetime(2024, 3, 8, 14, 30, 15), datetime.datetime),
(datetime.datetime(2024, 3, 8, 14, 30, 15), datetime.datetime),
(datetime.datetime(2024, 3, 16, 14, 30, 25, 123000), datetime.datetime),
(
datetime.datetime(
2025,
3,
16,
12,
30,
45,
tzinfo=timezone(timedelta(hours=5, minutes=30)),
),
datetime.datetime,
),
(
datetime.datetime(
2025,
3,
16,
12,
30,
45,
tzinfo=timezone(timedelta(hours=5, minutes=30)),
),
datetime.datetime,
),
(b"\xde\xad\xbe\xef", bytes),
('["item1","item2"]', str),
('{"key1":"value1","key2":"value2"}', str),
('{"name":"John","age":30}', str),
('"semi-structured data"', str),
]
for index, entry in enumerate(converted_column_table):
assert entry[0] == expected_convertion[index][0]
assert isinstance(entry[0], expected_convertion[index][1])