# Copyright 2025 Collate # Licensed under the Collate Community License, Version 1.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE # 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. import unittest from typing import Optional from unittest import TestCase from unittest.mock import Mock, patch from google.cloud.bigquery import PartitionRange, RangePartitioning, TimePartitioning from google.cloud.bigquery.table import Table from pydantic import BaseModel from sqlalchemy import Integer, String from metadata.generated.schema.entity.data.database import Database from metadata.generated.schema.entity.data.table import ( PartitionColumnDetails, PartitionIntervalTypes, ) from metadata.generated.schema.metadataIngestion.workflow import ( OpenMetadataWorkflowConfig, ) from metadata.generated.schema.type.entityReference import EntityReference from metadata.ingestion.source.database.bigquery.metadata import BigquerySource """ Check Partitioned Table in Profiler Workflow """ mock_bigquery_config = { "source": { "type": "bigquery", "serviceName": "local_bigquery7", "serviceConnection": { "config": {"type": "BigQuery", "credentials": {"gcpConfig": {}}} }, "sourceConfig": { "config": { "type": "DatabaseMetadata", } }, }, "sink": {"type": "metadata-rest", "config": {}}, "workflowConfig": { "openMetadataServerConfig": { "hostPort": "http://localhost:8585/api", "authProvider": "openmetadata", "securityConfig": { "jwtToken": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg" }, } }, } TEST_PARTITION = {"schema_name": "test_schema", "table_name": "test_table"} MOCK_DATABASE = Database( id="2aaa012e-099a-11ed-861d-0242ac120002", name="118146679784", fullyQualifiedName="bigquery_source.bigquery.db", displayName="118146679784", description="", service=EntityReference( id="85811038-099a-11ed-861d-0242ac120002", type="databaseService", ), ) class MockTable(BaseModel): time_partitioning: Optional[TimePartitioning] = None range_partitioning: Optional[RangePartitioning] = None class Config: arbitrary_types_allowed = True MOCK_TIME_UNIT_PARTITIONING = TimePartitioning( expiration_ms=None, field="test_column", type_="DAY" ) MOCK_INGESTION_TIME_PARTITIONING = TimePartitioning(expiration_ms=None, type_="HOUR") MOCK_RANGE_PARTITIONING = RangePartitioning( field="test_column", range_=PartitionRange(end=100, interval=10, start=0) ) MOCK_COLUMN_DATA = [ { "name": "customer_id", "type": Integer(), "nullable": True, "comment": None, "default": None, "precision": None, "scale": None, "max_length": None, "system_data_type": "INTEGER", "is_complex": False, "policy_tags": None, }, { "name": "first_name", "type": String(), "nullable": True, "comment": None, "default": None, "precision": None, "scale": None, "max_length": None, "system_data_type": "VARCHAR", "is_complex": False, "policy_tags": None, }, { "name": "last_name", "type": String(), "nullable": True, "comment": None, "default": None, "precision": None, "scale": None, "max_length": None, "system_data_type": "VARCHAR", "is_complex": False, "policy_tags": None, }, { "name": "test_column", "type": String(), "nullable": True, "comment": None, "default": None, "precision": None, "scale": None, "max_length": None, "system_data_type": "VARCHAR", "is_complex": False, "policy_tags": None, }, ] class BigqueryUnitTest(TestCase): @patch("google.cloud.bigquery.Client") @patch("metadata.ingestion.connections.builders.create_generic_db_connection") @patch( "metadata.ingestion.source.database.bigquery.metadata.BigquerySource.set_project_id" ) @patch( "metadata.ingestion.source.database.bigquery.metadata.BigquerySource._test_connection" ) @patch("metadata.ingestion.source.database.common_db_source.get_connection") def __init__( self, methodName, get_connection_common, test_connection, set_project_id, create_generic_connection, client, ) -> None: super().__init__(methodName) get_connection_common.return_value = Mock() client.return_value = Mock() create_generic_connection.return_value = Mock() set_project_id.return_value = Mock() test_connection.return_value = False self.config = OpenMetadataWorkflowConfig.model_validate(mock_bigquery_config) self.bigquery_source = BigquerySource.create( mock_bigquery_config["source"], self.config.workflowConfig.openMetadataServerConfig, ) self.bigquery_source.context.get().__dict__[ "database" ] = MOCK_DATABASE.fullyQualifiedName.root self.bigquery_source.client = client self.bigquery_source.inspector.get_columns = ( lambda table_name, schema, db_name: MOCK_COLUMN_DATA ) unittest.mock.patch.object(Table, "object") def test_time_unit_partition(self): self.bigquery_source.client.get_table = lambda fqn: MockTable( time_partitioning=MOCK_TIME_UNIT_PARTITIONING ) bool_resp, partition = self.bigquery_source.get_table_partition_details( schema_name=TEST_PARTITION.get("schema_name"), table_name=TEST_PARTITION.get("table_name"), inspector=self.bigquery_source.inspector, ) assert partition.columns == [ PartitionColumnDetails( columnName="test_column", intervalType=PartitionIntervalTypes.TIME_UNIT, interval="DAY", ) ] assert ( partition.columns[0].intervalType.value == PartitionIntervalTypes.TIME_UNIT.value ) assert partition.columns[0].interval == "DAY" assert bool_resp def test_ingestion_time_partition(self): self.bigquery_source.client.get_table = lambda fqn: MockTable( time_partitioning=MOCK_INGESTION_TIME_PARTITIONING ) bool_resp, partition = self.bigquery_source.get_table_partition_details( schema_name=TEST_PARTITION.get("schema_name"), table_name=TEST_PARTITION.get("table_name"), inspector=self.bigquery_source.inspector, ) self.assertIsInstance(partition.columns, list) assert ( partition.columns[0].intervalType.value == PartitionIntervalTypes.INGESTION_TIME.value ) assert partition.columns[0].interval == "HOUR" assert bool_resp def test_range_partition(self): self.bigquery_source.client.get_table = lambda fqn: MockTable( time_partitioning=None, range_partitioning=MOCK_RANGE_PARTITIONING ) bool_resp, partition = self.bigquery_source.get_table_partition_details( schema_name=TEST_PARTITION.get("schema_name"), table_name=TEST_PARTITION.get("table_name"), inspector=self.bigquery_source.inspector, ) self.assertIsInstance(partition.columns, list) assert ( partition.columns[0].intervalType.value == PartitionIntervalTypes.INTEGER_RANGE.value ) assert partition.columns[0].interval == 10 assert bool_resp def test_no_partition(self): self.bigquery_source.client.get_table = lambda fqn: MockTable( time_partitioning=None, range_partitioning=None ) bool_resp, partition = self.bigquery_source.get_table_partition_details( schema_name=TEST_PARTITION.get("schema_name"), table_name=TEST_PARTITION.get("table_name"), inspector=self.bigquery_source.inspector, ) assert not bool_resp assert not partition