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