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		d8e2187980
		
			
		
	
	
	
	
		
			
			* pydantic v2 * pydanticv2 * fix parser * fix annotated * fix model dumping * mysql ingestion * clean root models * clean root models * bump airflow * bump airflow * bump airflow * optionals * optionals * optionals * jdk * airflow migrate * fab provider * fab provider * fab provider * some more fixes * fixing tests and imports * model_dump and model_validate * model_dump and model_validate * model_dump and model_validate * union * pylint * pylint * integration tests * fix CostAnalysisReportData * integration tests * tests * missing defaults * missing defaults
		
			
				
	
	
		
			293 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			293 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| #  Copyright 2021 Collate
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| #  Licensed under the Apache License, Version 2.0 (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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| #  http://www.apache.org/licenses/LICENSE-2.0
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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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| 
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| """
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| Test MongoDB using the topology
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| """
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| 
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| import json
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| from pathlib import Path
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| from unittest import TestCase
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| from unittest.mock import Mock, patch
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| 
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| import pytest
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| 
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| from metadata.generated.schema.api.data.createTable import CreateTableRequest
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| from metadata.generated.schema.entity.data.database import Database
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| from metadata.generated.schema.entity.data.databaseSchema import DatabaseSchema
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| from metadata.generated.schema.entity.data.table import (
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|     Column,
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|     ConstraintType,
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|     DataType,
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|     TableConstraint,
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|     TableType,
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| )
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| from metadata.generated.schema.entity.services.databaseService import (
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|     DatabaseConnection,
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|     DatabaseService,
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|     DatabaseServiceType,
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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.basic import SourceUrl
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| from metadata.generated.schema.type.entityReference import EntityReference
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| from metadata.ingestion.ometa.ometa_api import OpenMetadata
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| from metadata.ingestion.source.database.bigtable.metadata import BigtableSource
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| 
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| mock_file_path = (
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|     Path(__file__).parent.parent.parent / "resources/datasets/glue_db_dataset.json"
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| )
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| with open(mock_file_path) as file:
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|     mock_data: dict = json.load(file)
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| 
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| mock_bigtable_config = {
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|     "source": {
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|         "type": "bigtable",
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|         "serviceName": "local_bigtable",
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|         "serviceConnection": {
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|             "config": {
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|                 "type": "BigTable",
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|                 "credentials": {
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|                     "gcpConfig": {
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|                         "type": "service_account",
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|                         "projectId": "my-gcp-project",
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|                         "privateKeyId": "private_key_id",
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|                         # this is a valid key that was generated on a local machine and is not used for any real project
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|                         "privateKey": "-----BEGIN RSA PRIVATE KEY-----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\ndUk7XVGffCakXQ0jp1kmZA4lGsYK1h5dEU5DgXqu4UYJ88Vttax2W+Y=\n-----END RSA PRIVATE KEY-----\n",
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|                         "clientEmail": "gcpuser@project_id.iam.gserviceaccount.com",
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|                         "clientId": "client_id",
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|                         "authUri": "https://accounts.google.com/o/oauth2/auth",
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|                         "tokenUri": "https://oauth2.googleapis.com/token",
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|                         "authProviderX509CertUrl": "https://www.googleapis.com/oauth2/v1/certs",
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|                         "clientX509CertUrl": "https://www.googleapis.com/oauth2/v1/certs",
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|                     }
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|                 },
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|             },
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|         },
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|         "sourceConfig": {
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|             "config": {
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|                 "type": "DatabaseMetadata",
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|                 "schemaFilterPattern": {"includes": ["my_instance"]},
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|                 "tableFilterPattern": {"includes": ["random_table"]},
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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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| 
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| MOCK_DATABASE_SERVICE = DatabaseService(
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|     id="85811038-099a-11ed-861d-0242ac120002",
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|     name="local_bigtable",
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|     connection=DatabaseConnection(),
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|     serviceType=DatabaseServiceType.Glue,
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| )
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| 
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| MOCK_DATABASE = Database(
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|     id="2aaa012e-099a-11ed-861d-0242ac120002",
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|     name="my-gcp-project",
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|     fullyQualifiedName="local_bigtable.my-gcp-project",
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|     displayName="my-gcp-project",
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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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| 
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| MOCK_DATABASE_SCHEMA = DatabaseSchema(
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|     id="2aaa012e-099a-11ed-861d-0242ac120056",
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|     name="my_instance",
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|     fullyQualifiedName="local_bigtable.my-gcp-project.my_instance",
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|     displayName="default",
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|     description="",
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|     database=EntityReference(
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|         id="2aaa012e-099a-11ed-861d-0242ac120002",
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|         type="database",
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|     ),
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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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| 
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| 
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| MOCK_CREATE_TABLE = CreateTableRequest(
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|     name="random_table",
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|     tableType=TableType.Regular,
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|     columns=[
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|         Column(
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|             name="row_key",
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|             displayName="row_key",
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|             dataType=DataType.BYTES,
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|             dataTypeDisplay=DataType.BYTES.value,
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|         ),
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|         Column(
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|             name="cf1.col1",
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|             displayName="cf1.col1",
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|             dataType=DataType.BYTES,
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|             dataTypeDisplay=DataType.BYTES.value,
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|         ),
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|         Column(
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|             name="cf2.col2",
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|             displayName="cf2.col2",
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|             dataType=DataType.BYTES,
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|             dataTypeDisplay=DataType.BYTES.value,
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|         ),
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|     ],
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|     tableConstraints=[
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|         TableConstraint(constraintType=ConstraintType.PRIMARY_KEY, columns=["row_key"])
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|     ],
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|     databaseSchema="local_bigtable.my-gcp-project.my_instance",
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|     sourceUrl=SourceUrl(
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|         "https://console.cloud.google.com/bigtable/instances/my_instance/tables/random_table/overview?project=my-gcp-project"
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|     ),
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| )
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| 
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| 
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| EXPECTED_DATABASE_NAMES = ["my-gcp-project"]
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| 
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| EXPECTED_DATABASE_SCHEMA_NAMES = [
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|     "my_instance",
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| ]
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| 
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| MOCK_DATABASE_SCHEMA_NAMES = [
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|     "my_instance",
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|     "random1_schema",
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| ]
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| 
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| EXPECTED_TABLE_NAMES = [
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|     ("random_table", TableType.Regular),
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| ]
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| 
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| 
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| def custom_column_compare(self, other):
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|     return (
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|         self.name == other.name
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|         and self.description == other.description
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|         and self.children == other.children
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|     )
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| 
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| 
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| @pytest.fixture
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| def mock_bigtable_row():
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|     mock = Mock()
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|     cell = Mock()
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|     cell.value = b"cell_value"
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|     cell.timestamp = 1234567890
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|     mock.cells = {"cf1": {b"col1": [cell]}, "cf2": {b"col2": [cell]}}
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|     mock.row_key = b"row_key"
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|     yield mock
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| 
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| 
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| @pytest.fixture
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| def mock_bigtable_table(mock_bigtable_row):
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|     mock = Mock()
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|     mock.table_id = "random_table"
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|     mock.list_column_families.return_value = {"cf1": None, "cf2": None}
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|     mock.read_rows.return_value = [mock_bigtable_row]
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|     yield mock
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| 
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| 
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| @pytest.fixture
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| def mock_bigtable_instance(mock_bigtable_table):
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|     mock = Mock()
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|     mock.instance_id = "my_instance"
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|     mock.project_id = "my-gcp-project"
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|     mock.list_tables.return_value = [mock_bigtable_table]
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|     yield mock
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| 
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| 
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| @pytest.fixture
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| def mock_google_cloud_client(mock_bigtable_instance):
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|     with patch("google.cloud.bigtable.Client") as mock_client:
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|         mock_client.list_instances.return_value = [[], []]
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|         mock_client().list_instances.return_value = [[mock_bigtable_instance], []]
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|         yield mock_client
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| 
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| 
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| @pytest.fixture
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| def mock_test_connection():
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|     with patch.object(BigtableSource, "test_connection") as mock_test_connection:
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|         mock_test_connection.return_value = True
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|         yield mock_test_connection
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| 
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| 
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| class BigTableUnitTest(TestCase):
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|     @pytest.fixture(autouse=True)
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|     def setup(
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|         self,
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|         monkeypatch,
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|         mock_google_cloud_client,
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|         mock_test_connection,
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|         mock_bigtable_instance,
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|         mock_bigtable_table,
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|     ):
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|         self.config = OpenMetadataWorkflowConfig.model_validate(mock_bigtable_config)
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|         self.bigtable_source = BigtableSource.create(
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|             mock_bigtable_config["source"],
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|             OpenMetadata(self.config.workflowConfig.openMetadataServerConfig),
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|         )
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|         self.bigtable_source.context.get().__dict__[
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|             "database_service"
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|         ] = MOCK_DATABASE_SERVICE.name.root
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|         self.bigtable_source.context.get().__dict__[
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|             "database"
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|         ] = MOCK_DATABASE.name.root
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|         self.bigtable_source.context.get().__dict__[
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|             "database_schema"
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|         ] = MOCK_DATABASE_SCHEMA.name.root
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|         self.bigtable_source.instances = {
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|             "my-gcp-project": {
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|                 mock_bigtable_instance.instance_id: mock_bigtable_instance
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|             }
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|         }
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|         self.bigtable_source.tables = {
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|             "my-gcp-project": {
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|                 mock_bigtable_instance.instance_id: {
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|                     mock_bigtable_table.table_id: mock_bigtable_table
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|                 }
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|             }
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|         }
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| 
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|     def test_database_names(self):
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|         assert (
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|             list(self.bigtable_source.get_database_names()) == EXPECTED_DATABASE_NAMES
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|         )
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| 
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|     def test_database_schema_names(self):
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|         assert (
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|             list(self.bigtable_source.get_database_schema_names())
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|             == EXPECTED_DATABASE_SCHEMA_NAMES
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|         )
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| 
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|     def test_table_names(self):
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|         assert (
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|             list(self.bigtable_source.get_tables_name_and_type())
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|             == EXPECTED_TABLE_NAMES
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|         )
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| 
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|     def test_yield_tables(self):
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|         Column.__eq__ = custom_column_compare
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|         result = next(self.bigtable_source.yield_table(EXPECTED_TABLE_NAMES[0]))
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|         assert result.left is None
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|         assert result.right.name.root == "random_table"
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|         assert result.right == MOCK_CREATE_TABLE
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