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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.
"""
bigquery unit tests
"""
# pylint: disable=line-too-long
import types
from copy import deepcopy
from typing import Dict
from unittest import TestCase
from unittest.mock import Mock, patch
from sqlalchemy import Integer, String
from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest
from metadata.generated.schema.api.data.createDatabaseSchema import (
CreateDatabaseSchemaRequest,
)
from metadata.generated.schema.api.data.createTable import CreateTableRequest
from metadata.generated.schema.entity.data.databaseSchema import DatabaseSchema
from metadata.generated.schema.entity.data.table import (
Column,
Table,
TableConstraint,
TableType,
)
from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
OpenMetadataConnection,
)
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 (
EntityName,
FullyQualifiedEntityName,
SourceUrl,
)
from metadata.generated.schema.type.entityReference import EntityReference
from metadata.ingestion.api.parser import parse_workflow_config_gracefully
from metadata.ingestion.ometa.ometa_api import OpenMetadata
from metadata.ingestion.source.database.bigquery.lineage import BigqueryLineageSource
from metadata.ingestion.source.database.bigquery.metadata import BigquerySource
mock_bq_config = {
"source": {
"type": "bigquery",
"serviceName": "local_bigquery",
"serviceConnection": {
"config": {
"type": "BigQuery",
"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-----\nMIIEpQIBAAKCAQEAw3vHG9fDIkcYB0xi2Mv4fS2gUzKR9ZRrcVNeKkqGFTT71AVB\nOzgIqYVe8b2aWODuNye6sipcrqTqOt05Esj+sxhk5McM9bE2RlxXC5QH/Bp9zxMP\n/Yksv9Ov7fdDt/loUk7sTXvI+7LDJfmRYU6MtVjyyLs7KpQIB2xBWEToU1xZY+v0\ndRC1NA+YWc+FjXbAiFAf9d4gXkYO8VmU5meixVh4C8nsjokEXk0T/HEItpZCxadk\ndZ7LKUE/HDmWCO2oNG6sCf4ET2crjSdYIfXuREopX1aQwnk7KbI4/YIdlRz1I369\nAz3+Hxlf9lLJVH3+itN4GXrR9yWWKWKDnwDPbQIDAQABAoIBAQC3X5QuTR7SN8iV\niBUtc2D84+ECSmza5shG/UJW/6N5n0Mf53ICgBS4GNEwiYCRISa0/ILIgK6CcVb7\nsuvH8F3kWNzEMui4TO0x4YsR5GH9HkioCCS224frxkLBQnL20HIIy9ok8Rpe6Zjg\nNZUnp4yczPyqSeA9l7FUbTt69uDM2Cx61m8REOpFukpnYLyZGbmNPYmikEO+rq9r\nwNID5dkSeVuQYo4MQdRavOGFUWvUYXzkEQ0A6vPyraVBfolESX8WaLNVjic7nIa3\nujdSNojnJqGJ3gslntcmN1d4JOfydc4bja4/NdNlcOHpWDGLzY1QnaDe0Koxn8sx\nLT9MVD2NAoGBAPy7r726bKVGWcwqTzUuq1OWh5c9CAc4N2zWBBldSJyUdllUq52L\nWTyva6GRoRzCcYa/dKLLSM/k4eLf9tpxeIIfTOMsvzGtbAdm257ndMXNvfYpxCfU\nK/gUFfAUGHZ3MucTHRY6DTkJg763Sf6PubA2fqv3HhVZDK/1HGDtHlTPAoGBAMYC\npdV7O7lAyXS/d9X4PQZ4BM+P8MbXEdGBbPPlzJ2YIb53TEmYfSj3z41u9+BNnhGP\n4uzUyAR/E4sxrA2+Ll1lPSCn+KY14WWiVGfWmC5j1ftdpkbrXstLN8NpNYzrKZwx\njdR0ZkwvZ8B5+kJ1hK96giwWS+SJxJR3TohcQ18DAoGAJSfmv2r//BBqtURnHrd8\nwq43wvlbC8ytAVg5hA0d1r9Q4vM6w8+vz+cuWLOTTyobDKdrG1/tlXrd5r/sh9L0\n15SIdkGm3kPTxQbPNP5sQYRs8BrV1tEvoao6S3B45DnEBwrdVN42AXOvpcNGoqE4\nuHpahyeuiY7s+ZV8lZdmxSsCgYEAolr5bpmk1rjwdfGoaKEqKGuwRiBX5DHkQkxE\n8Zayt2VOBcX7nzyRI05NuEIMrLX3rZ61CktN1aH8fF02He6aRaoE/Qm9L0tujM8V\nNi8WiLMDeR/Ifs3u4/HAv1E8v1byv0dCa7klR8J257McJ/ID4X4pzcxaXgE4ViOd\nGOHNu9ECgYEApq1zkZthEQymTUxs+lSFcubQpaXyf5ZC61cJewpWkqGDtSC+8DxE\nF/jydybWuoNHXymnvY6QywxuIooivbuib6AlgpEJeybmnWlDOZklFOD0abNZ+aNO\ndUk7XVGffCakXQ0jp1kmZA4lGsYK1h5dEU5DgXqu4UYJ88Vttax2W+Y=\n-----END RSA PRIVATE KEY-----\n",
"clientEmail": "gcpuser@project_id.iam.gserviceaccount.com",
"clientId": "1234",
"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", "includeTags": False}},
},
"sink": {"type": "metadata-rest", "config": {}},
"workflowConfig": {
"openMetadataServerConfig": {
"hostPort": "http://localhost:8585/api",
"authProvider": "openmetadata",
"securityConfig": {"jwtToken": "jwt"},
}
},
}
MOCK_DB_NAME = "random-project-id"
MOCK_SCHEMA_NAME = "test_omd"
MOCK_TABLE_NAME = "customer_products"
EXPECTED_URL = "https://console.cloud.google.com/bigquery?project=random-project-id&ws=!1m5!1m4!4m3!1srandom-project-id!2stest_omd!3scustomer_products"
MOCK_DATABASE_SERVICE = DatabaseService(
id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb",
name="bigquery_source_test",
connection=DatabaseConnection(),
serviceType=DatabaseServiceType.Hive,
)
MOCK_DATABASE_SCHEMA = DatabaseSchema(
id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb",
name="sample_schema",
fullyQualifiedName="bigquery_source_test.random-project-id.sample_schema",
service=EntityReference(id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb", type="database"),
database=EntityReference(
id="a58b1856-729c-493b-bc87-6d2269b43ec0",
type="database",
),
)
MOCK_TABLE = Table(
id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb",
name=EntityName("customers"),
displayName=None,
description=None,
tableType="Regular",
columns=[
Column(
name="customer_id",
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="INTEGER",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="PRIMARY_KEY",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="first_name",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="VARCHAR",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="last_name",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="VARCHAR",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
],
tableConstraints=[],
tablePartition=None,
tableProfilerConfig=None,
owner=None,
databaseSchema=EntityReference(
id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb", type="databaseSchema"
),
tags=[],
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schemaDefinition=None,
retentionPeriod=None,
extension=None,
sourceUrl=SourceUrl(
"https://console.cloud.google.com/bigquery?project=random-project-id&ws=!1m5!1m4!4m3!1srandom-project-id!2ssample_schema!3scustomers"
),
domain=None,
dataProducts=None,
fileFormat=None,
lifeCycle=None,
sourceHash=None,
)
EXPECTED_DATABASE = [
CreateDatabaseRequest(
name=EntityName("random-project-id"),
displayName=None,
description=None,
tags=[],
owner=None,
service=FullyQualifiedEntityName("bigquery_source_test"),
dataProducts=None,
default=False,
retentionPeriod=None,
extension=None,
sourceUrl=SourceUrl(
"https://console.cloud.google.com/bigquery?project=random-project-id"
),
domain=None,
lifeCycle=None,
sourceHash=None,
)
]
EXPTECTED_DATABASE_SCHEMA = [
CreateDatabaseSchemaRequest(
name=EntityName("sample_schema"),
displayName=None,
description="",
owner=None,
database=FullyQualifiedEntityName("bigquery_source_test.random-project-id"),
dataProducts=None,
tags=None,
retentionPeriod=None,
extension=None,
sourceUrl=SourceUrl(
"https://console.cloud.google.com/bigquery?project=random-project-id&ws=!1m4!1m3!3m2!1srandom-project-id!2ssample_schema"
),
domain=None,
lifeCycle=None,
sourceHash=None,
)
]
MOCK_TABLE_NAMES = [tuple(("customers", "Regular")), tuple(("orders", "Regular"))]
MOCK_COLUMN_DATA = [
[
{
"name": "customer_id",
"type": Integer(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "INTEGER",
"is_complex": False,
"policy_tags": None,
},
{
"name": "first_name",
"type": String(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "VARCHAR",
"is_complex": False,
"policy_tags": None,
},
{
"name": "last_name",
"type": String(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "VARCHAR",
"is_complex": False,
"policy_tags": None,
},
],
[
{
"name": "order_id",
"type": Integer(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "INTEGER",
"is_complex": False,
"policy_tags": None,
},
{
"name": "customer_id",
"type": Integer(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "INTEGER",
"is_complex": False,
"policy_tags": None,
},
{
"name": "status",
"type": String(),
"nullable": True,
"comment": None,
"default": None,
"precision": None,
"scale": None,
"max_length": None,
"system_data_type": "VARCHAR",
"is_complex": False,
"policy_tags": None,
},
],
]
MOCK_PK_CONSTRAINT: Dict[str, Dict] = {
"customers": dict({"constrained_columns": ("customer_id",)}),
"orders": dict({"constrained_columns": ()}),
}
MOCK_FK_CONSTRAINT = {
"customers": [],
"orders": [
{
"name": "orders.fk$1",
"referred_schema": "demo_dbt_jaffle",
"referred_table": "customers",
"constrained_columns": ["customer_id"],
"referred_columns": ["customer_id"],
}
],
}
EXPECTED_TABLE = [
[
CreateTableRequest(
name=EntityName("customers"),
displayName=None,
description=None,
tableType="Regular",
columns=[
Column(
name="customer_id",
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="INTEGER",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="PRIMARY_KEY",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="first_name",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="VARCHAR",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="last_name",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="VARCHAR",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
],
tableConstraints=[],
tablePartition=None,
tableProfilerConfig=None,
owner=None,
databaseSchema=FullyQualifiedEntityName(
root="bigquery_source_test.random-project-id.sample_schema"
),
tags=[],
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schemaDefinition=None,
retentionPeriod=None,
extension=None,
sourceUrl=SourceUrl(
"https://console.cloud.google.com/bigquery?project=random-project-id&ws=!1m5!1m4!4m3!1srandom-project-id!2ssample_schema!3scustomers"
),
domain=None,
dataProducts=None,
fileFormat=None,
lifeCycle=None,
sourceHash=None,
)
],
[
CreateTableRequest(
name=EntityName("orders"),
displayName=None,
description=None,
tableType="Regular",
columns=[
Column(
name="order_id",
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="INTEGER",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="customer_id",
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="INTEGER",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
Column(
name="status",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="VARCHAR",
description=None,
fullyQualifiedName=None,
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
profile=None,
customMetrics=None,
),
],
tableConstraints=[
TableConstraint(
constraintType="FOREIGN_KEY",
columns=["customer_id"],
referredColumns=[
FullyQualifiedEntityName(
root="bigquery_source_test.random-project-id.sample_schema.customers.customer_id"
)
],
)
],
tablePartition=None,
tableProfilerConfig=None,
owner=None,
databaseSchema=FullyQualifiedEntityName(
root="bigquery_source_test.random-project-id.sample_schema"
),
tags=[],
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schemaDefinition=None,
retentionPeriod=None,
extension=None,
sourceUrl=SourceUrl(
"https://console.cloud.google.com/bigquery?project=random-project-id&ws=!1m5!1m4!4m3!1srandom-project-id!2ssample_schema!3sorders"
),
domain=None,
dataProducts=None,
fileFormat=None,
lifeCycle=None,
sourceHash=None,
)
],
]
MOCK_TABLE_CONSTRAINT = [
[],
[
TableConstraint(
constraintType="FOREIGN_KEY",
columns=["customer_id"],
referredColumns=[
FullyQualifiedEntityName(
"bigquery_source_test.random-project-id.sample_schema.customers.customer_id"
)
],
)
],
]
class BigqueryUnitTest(TestCase):
"""
Implements the necessary methods to extract
Bigquery Unit Test
"""
@patch(
"metadata.ingestion.source.database.bigquery.metadata.BigquerySource._test_connection"
)
@patch(
"metadata.ingestion.source.database.bigquery.metadata.BigquerySource.set_project_id"
)
@patch("metadata.ingestion.source.database.bigquery.connection.get_connection")
def __init__(
self, methodName, get_connection, set_project_id, test_connection
) -> None:
super().__init__(methodName)
get_connection.return_value = Mock()
test_connection.return_value = False
set_project_id.return_value = "random-project-id"
self.config = parse_workflow_config_gracefully(mock_bq_config)
self.metadata = OpenMetadata(
OpenMetadataConnection.model_validate(
mock_bq_config["workflowConfig"]["openMetadataServerConfig"]
)
)
self.bq_source = BigquerySource.create(mock_bq_config["source"], self.metadata)
self.bq_source.context.get().__dict__[
"database_service"
] = MOCK_DATABASE_SERVICE.name.root
self.thread_id = self.bq_source.context.get_current_thread_id()
self.bq_source._inspector_map[self.thread_id] = types.SimpleNamespace()
self.bq_source._inspector_map[
self.thread_id
].get_pk_constraint = lambda table_name, schema: []
self.bq_source._inspector_map[
self.thread_id
].get_unique_constraints = lambda table_name, schema_name: []
self.bq_source._inspector_map[
self.thread_id
].get_foreign_keys = lambda table_name, schema: []
self.bq_source._inspector_map[
self.thread_id
].get_columns = lambda table_name, schema, db_name: []
def test_source_url(self):
self.assertEqual(
self.bq_source.get_source_url(
database_name=MOCK_DB_NAME,
schema_name=MOCK_SCHEMA_NAME,
table_name=MOCK_TABLE_NAME,
table_type=TableType.Regular,
),
EXPECTED_URL,
)
@patch(
"metadata.ingestion.source.database.database_service.DatabaseServiceSource.get_database_tag_labels"
)
def test_yield_database(self, get_database_tag_labels):
get_database_tag_labels.return_value = []
assert EXPECTED_DATABASE == [
either.right for either in self.bq_source.yield_database(MOCK_DB_NAME)
]
def test_yield_database_schema(self):
assert EXPTECTED_DATABASE_SCHEMA == [
either.right
for either in self.bq_source.yield_database_schema(
schema_name=MOCK_DATABASE_SCHEMA.name.root
)
]
@patch(
"metadata.ingestion.source.database.bigquery.metadata.BigquerySource.get_tag_labels"
)
@patch(
"metadata.ingestion.source.database.bigquery.metadata.BigquerySource.get_table_partition_details"
)
@patch(
"metadata.ingestion.source.database.common_db_source.CommonDbSourceService._get_foreign_constraints"
)
def test_get_columns_with_constraints(
self, _get_foreign_constraints, get_table_partition_details, get_tag_labels
):
"""
Test different constraint type ingested as expected
"""
get_tag_labels.return_value = []
get_table_partition_details.return_value = False, None
self.bq_source.context.get().__dict__["database"] = MOCK_DB_NAME
self.bq_source.context.get().__dict__[
"database_schema"
] = MOCK_DATABASE_SCHEMA.name.root
for i, table in enumerate(MOCK_TABLE_NAMES):
_get_foreign_constraints.return_value = MOCK_TABLE_CONSTRAINT[i]
self.bq_source.inspector.get_pk_constraint = (
lambda table_name, schema: MOCK_PK_CONSTRAINT[
table[0]
] # pylint: disable=cell-var-from-loop
)
self.bq_source.inspector.get_foreign_keys = (
lambda table_name, schema: MOCK_FK_CONSTRAINT[
table[0]
] # pylint: disable=cell-var-from-loop
)
self.bq_source.inspector.get_columns = (
lambda table_name, schema, db_name: MOCK_COLUMN_DATA[
i
] # pylint: disable=cell-var-from-loop
)
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self.bq_source.inspector.get_table_ddl = (
lambda table_name, schema, db_name: None # pylint: disable=cell-var-from-loop
)
self.bq_source.inspector.get_table_comment = (
lambda table_name, schema, db_name: None # pylint: disable=cell-var-from-loop
)
assert EXPECTED_TABLE[i] == [
either.right for either in self.bq_source.yield_table(table)
]
class BigqueryLineageSourceTest(TestCase):
"""
Implements the necessary methods to extract
Bigquery Lineage Test
"""
@patch("metadata.ingestion.source.database.bigquery.connection.get_connection")
@patch("metadata.ingestion.source.database.bigquery.connection.test_connection")
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@patch(
"metadata.ingestion.source.database.bigquery.query_parser.BigqueryQueryParserSource.set_project_id"
)
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def __init__(
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self,
methodName,
set_project_id_lineage, # pylint: disable=unused-argument
test_connection, # pylint: disable=unused-argument
get_connection, # pylint: disable=unused-argument
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) -> None:
super().__init__(methodName)
mock_credentials_path_bq_config = deepcopy(mock_bq_config)
mock_credentials_path_bq_config["source"]["serviceConnection"]["config"][
"credentials"
]["gcpConfig"] = {"path": "credentials.json", "projectId": "my-gcp-project"}
self.config = OpenMetadataWorkflowConfig.model_validate(
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mock_credentials_path_bq_config
)
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self.bq_query_parser = BigqueryLineageSource(
self.config.source, self.config.workflowConfig.openMetadataServerConfig
)
def test_get_engine_without_project_id_specified(self):
for engine in self.bq_query_parser.get_engine():
assert engine is self.bq_query_parser.engine