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