open-metadata--openmetadata
wehub-resource-sync
bf2343b7e4
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480 行
18 KiB
Python
480 行
18 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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"""
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Test Atlas using the topology
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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 patch
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from dirty_equals import HasAttributes, IsInstance
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from pydantic import AnyUrl
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from metadata.generated.schema.api.classification.createClassification import (
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CreateClassificationRequest,
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)
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from metadata.generated.schema.api.classification.createTag import CreateTagRequest
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from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest
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from metadata.generated.schema.api.data.createDatabaseSchema import (
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CreateDatabaseSchemaRequest,
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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.api.services.createDatabaseService import (
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CreateDatabaseServiceRequest,
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)
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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 Column, Table
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from metadata.generated.schema.entity.services.connections.database.hiveConnection import (
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HiveConnection,
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)
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from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
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OpenMetadataConnection,
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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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)
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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 Href
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from metadata.generated.schema.type.entityReference import EntityReference
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from metadata.generated.schema.type.tagLabel import TagLabel
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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from metadata.ingestion.source.metadata.atlas.client import AtlasClient
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from metadata.ingestion.source.metadata.atlas.metadata import AtlasSource
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mock_atlas_config = {
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"source": {
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"type": "Atlas",
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"serviceName": "local_atlas",
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"serviceConnection": {
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"config": {
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"type": "Atlas",
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"hostPort": "http://192.168.1.8:21000",
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"username": "username",
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"password": "password",
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"databaseServiceName": ["hive"],
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"messagingServiceName": [],
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"entity_type": "NotTable",
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}
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},
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"sourceConfig": {"config": {"type": "DatabaseMetadata"}},
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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": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGc"
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"iOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE"
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"2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXB"
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"iEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fN"
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"r3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3u"
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"d-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
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},
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}
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},
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}
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mock_file_path = Path(__file__).parent / "atlas_dataset.json"
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with open(mock_file_path, encoding="UTF-8") as file: # noqa: PTH123
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mock_data: dict = json.load(file)
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LIST_ENTITIES = [
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"b233b2ae-8a4a-44a3-b446-4027462b2cc6",
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"eff274ef-f84d-4c58-81d6-c309663b887d",
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"1697e9bc-2fb0-4d11-8294-7e0da9c74830",
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"aabdc6c0-96c1-451c-98b5-7a7e48c319be",
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]
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def mock_get_entity(self, table): # pylint: disable=unused-argument
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return mock_data
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def mock_list_entities(self): # pylint: disable=unused-argument
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return LIST_ENTITIES
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EXPECTED_DATABASE_DESCRIPTION = "THIS IS TEST_DESCRIPTION FOR DATABASE"
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EXPTECTED_DATABASE_SCHEMA_DESCRIPTION = "THIS IS TEST_DESCRIPTION FOR DATABASE"
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EXPTECTED_TABLE = Table(
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id="124d078d-dcf2-43a8-b59e-33bc7953f680",
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name="delta_test_table",
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displayName=None,
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fullyQualifiedName="hive.Reporting.Reporting.delta_test_table",
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description="sales fact daily materialized view",
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version=0.1,
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updatedAt=1673413042524,
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updatedBy="admin",
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href=Href(
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root=AnyUrl(
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"http://localhost:8585/api/v1/tables/124d078d-dcf2-43a8-b59e-33bc7953f680",
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)
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),
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tableType="Regular",
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columns=[
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Column(
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name="col2",
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displayName=None,
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dataType="STRUCT",
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arrayDataType=None,
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dataLength=1,
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precision=None,
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scale=None,
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dataTypeDisplay="struct<col3:string,col4:bigint>",
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description="col2 nested delta column",
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fullyQualifiedName="hive.Reporting.Reporting.delta_test_table.col2",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=[
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Column(
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name="col3",
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displayName=None,
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dataType="STRING",
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arrayDataType=None,
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dataLength=None,
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precision=None,
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scale=None,
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dataTypeDisplay="string",
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description=None,
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fullyQualifiedName="hive.Reporting.Reporting.delta_test_table.col2.col3",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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Column(
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name="col4",
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displayName=None,
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dataType="BIGINT",
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arrayDataType=None,
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dataLength=None,
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precision=None,
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scale=None,
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dataTypeDisplay="bigint",
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description=None,
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fullyQualifiedName="hive.Reporting.Reporting.delta_test_table.col2.col4",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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],
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customMetrics=None,
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profile=None,
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),
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Column(
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name="col1",
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displayName=None,
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dataType="BIGINT",
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arrayDataType=None,
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dataLength=1,
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precision=None,
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scale=None,
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dataTypeDisplay="bigint",
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description="col1 description",
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fullyQualifiedName="hive.Reporting.Reporting.delta_test_table.col1",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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],
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tableConstraints=None,
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tablePartition=None,
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owners=None,
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databaseSchema=EntityReference(
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id="4cf6ee7e-9d24-4153-9318-82aa1167259b",
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type="databaseSchema",
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name="Reporting",
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fullyQualifiedName="hive.Reporting.Reporting",
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description="THIS IS TEST_DESCRIPTION FOR DATABASE",
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displayName=None,
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deleted=False,
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href=Href(
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AnyUrl(
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"http://localhost:8585/api/v1/databaseSchemas/4cf6ee7e-9d24-4153-9318-82aa1167259b",
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)
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),
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),
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database=EntityReference(
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id="367f53b5-d6c2-44be-bf5d-a0a1dc98a9dd",
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type="database",
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name="Reporting",
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fullyQualifiedName="hive.Reporting",
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description="THIS IS TEST_DESCRIPTION FOR DATABASE",
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displayName=None,
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deleted=False,
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href=Href(
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AnyUrl(
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"http://localhost:8585/api/v1/databases/367f53b5-d6c2-44be-bf5d-a0a1dc98a9dd",
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)
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),
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),
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service=EntityReference(
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id="f2ab0e7a-5224-4acb-a189-74158851733f",
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type="databaseService",
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name="hive",
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fullyQualifiedName="hive",
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description=None,
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displayName=None,
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deleted=False,
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href=Href(
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AnyUrl(
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"http://localhost:8585/api/v1/services/databaseServices/f2ab0e7a-5224-4acb-a189-74158851733f",
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)
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),
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),
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serviceType="Hive",
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location=None,
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schemaDefinition=None,
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tags=[
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TagLabel(
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tagFQN="AtlasMetadata.atlas_table",
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name="atlas_table",
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description="test tag",
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source="Classification",
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labelType="Automated",
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state="Suggested",
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href=None,
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)
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],
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usageSummary=None,
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followers=None,
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joins=None,
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sampleData=None,
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tableProfilerConfig=None,
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profile=None,
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dataModel=None,
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changeDescription=None,
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deleted=False,
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extension=None,
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)
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class AtlasUnitTest(TestCase):
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"""
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Implements the necessary methods to extract
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Atlas Metadata Unit Test
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"""
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@patch("metadata.ingestion.source.metadata.atlas.metadata.AtlasSource.test_connection")
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def __init__(self, methodName, test_connection) -> None: # noqa: N803
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super().__init__(methodName)
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test_connection.return_value = False
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self.config = OpenMetadataWorkflowConfig.model_validate(mock_atlas_config)
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self.atlas_source = AtlasSource.create(
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mock_atlas_config["source"],
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OpenMetadata(self.config.workflowConfig.openMetadataServerConfig),
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)
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self.metadata = OpenMetadata(
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OpenMetadataConnection.model_validate(mock_atlas_config["workflowConfig"]["openMetadataServerConfig"])
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)
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self.database_service = mock_database_service_object = self.metadata.create_or_update(
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CreateDatabaseServiceRequest(
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name="hive",
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serviceType="Hive",
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connection=DatabaseConnection(
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config=HiveConnection(
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type="Hive",
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scheme="hive",
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username=None,
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password=None,
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hostPort="http://nohost:6000",
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databaseName="Reporting",
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)
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),
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)
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)
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mock_database_object = self.metadata.create_or_update(
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CreateDatabaseRequest(
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name="Reporting",
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displayName=None,
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description=None,
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tags=None,
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owners=None,
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service=mock_database_service_object.fullyQualifiedName,
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)
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)
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mock_database_schema_object = self.metadata.create_or_update(
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CreateDatabaseSchemaRequest(
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name="Reporting",
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database=mock_database_object.fullyQualifiedName,
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)
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)
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_ = self.metadata.create_or_update(
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CreateTableRequest(
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name="sales_fact_daily_mv",
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tableType="Regular",
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columns=[
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Column(
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name="col2",
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displayName=None,
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dataType="STRUCT",
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arrayDataType=None,
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dataLength=1,
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precision=None,
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scale=None,
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dataTypeDisplay="struct<col3:string,col4:bigint>",
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description="col2 nested delta column",
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fullyQualifiedName="delta.default.test_schema.delta_test_table.col2",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=[
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Column(
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name="col3",
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displayName=None,
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dataType="STRING",
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arrayDataType=None,
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dataLength=None,
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precision=None,
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scale=None,
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dataTypeDisplay="string",
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description=None,
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fullyQualifiedName="delta.default.test_schema.delta_test_table.col2.col3",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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Column(
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name="col4",
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displayName=None,
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dataType="BIGINT",
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arrayDataType=None,
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dataLength=None,
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precision=None,
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scale=None,
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dataTypeDisplay="bigint",
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description=None,
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fullyQualifiedName="delta.default.test_schema.delta_test_table.col2.col4",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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],
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customMetrics=None,
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profile=None,
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),
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Column(
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name="col1",
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displayName=None,
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dataType="BIGINT",
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arrayDataType=None,
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dataLength=1,
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precision=None,
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scale=None,
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dataTypeDisplay="bigint",
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description="col1 description",
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fullyQualifiedName="delta.default.test_schema.delta_test_table.col1",
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tags=None,
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constraint=None,
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ordinalPosition=None,
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jsonSchema=None,
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children=None,
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customMetrics=None,
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profile=None,
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),
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],
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databaseSchema=mock_database_schema_object.fullyQualifiedName,
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),
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)
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def mock_ingest_lineage(self, source_guid, name): # pylint: disable=unused-argument
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return []
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def mock_create_tag(self):
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classification = CreateClassificationRequest(description="test tag", name="AtlasMetadata")
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self.metadata.create_or_update(classification)
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self.metadata.create_or_update(
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CreateTagRequest(
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classification="AtlasMetadata",
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name="atlas_table",
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description="test tag",
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)
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)
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@patch.object(AtlasClient, "list_entities", mock_list_entities)
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@patch.object(AtlasClient, "get_entity", mock_get_entity)
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@patch.object(AtlasSource, "ingest_lineage", mock_ingest_lineage)
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def test_description(self):
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"""
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Testing description updated for database, databaseSchema, table
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"""
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self.mock_create_tag()
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_ = list(self.atlas_source._iter())
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updated_database = self.metadata.get_by_name(entity=Database, fqn="hive.Reporting")
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assert updated_database.description.root == EXPECTED_DATABASE_DESCRIPTION
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updated_database_schema = self.metadata.get_by_name(entity=DatabaseSchema, fqn="hive.Reporting.Reporting")
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assert updated_database_schema.description.root == EXPTECTED_DATABASE_SCHEMA_DESCRIPTION
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updated_table = self.metadata.get_by_name(
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entity=Table,
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fqn="hive.Reporting.Reporting.sales_fact_daily_mv",
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fields=["tags"],
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)
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assert updated_table.description == EXPTECTED_TABLE.description
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assert updated_table.tags == [
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IsInstance(TagLabel)
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& HasAttributes(
|
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tagFQN=tag.tagFQN,
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name=tag.name,
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description=tag.description,
|
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source=tag.source,
|
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labelType=tag.labelType,
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state=tag.state,
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)
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for tag in EXPTECTED_TABLE.tags
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]
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self.metadata.delete(
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entity=DatabaseService,
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entity_id=self.atlas_source.service.id,
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recursive=True,
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hard_delete=True,
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)
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