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# Copyright 2021 Collate
# Licensed 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Interfaces with database for all database engine
supporting sqlalchemy abstraction layer
"""
from metadata.generated.schema.entity.data.table import PartitionIntervalType
from metadata.test_suite.validations.table.pandas.tableRowInsertedCountToBeBetween import (
TableRowInsertedCountToBeBetweenValidator,
)
class PandasInterfaceMixin:
"""Interface mixin grouping shared methods between test suite and profiler interfaces"""
def get_partitioned_df(self, df):
"""Get partitioned dataframe
Returns:
DataFrame
"""
partition_field = self.table_partition_config.partitionColumnName
if (
self.table_partition_config.partitionIntervalType
== PartitionIntervalType.COLUMN_VALUE
):
return df[
df[partition_field].isin(self.table_partition_config.partitionValues)
]
if (
self.table_partition_config.partitionIntervalType
== PartitionIntervalType.INTEGER_RANGE
):
return df[
df[partition_field].between(
self.table_partition_config.partitionIntegerRangeStart,
self.table_partition_config.partitionIntegerRangeEnd,
)
]
return df[
df[partition_field]
>= TableRowInsertedCountToBeBetweenValidator._get_threshold_date( # pylint: disable=protected-access
self.table_partition_config.partitionIntervalUnit.value,
self.table_partition_config.partitionInterval,
)
]