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OpenMetadata/ingestion/tests/integration/utils/test_processor.py
Mohit Yadav b982d3fe2b
Query as entity (#10449) 
* added query as an entity

* changed name of the variables and methods

* Added Resource Descriptors

* testcase bug fix

* addressing comments

* added script for table query migration

* added script for table query migration postgresql

* bug fix

* db change for script test

* added current timestamp

* change db config from postgresql to mysql

* added extension to use fucntion gen_random_uuid()

* solving maven ci

* added queryUsage and change is migration script

* addressing comments

* addressing comments

* added queryUsage relation and testcase

* added api to insert queries in bulk

* .

* fix a test case which was failing due to latest changes

* Ingestion Changes for Query as Entity

* move query changes to latest sqls

* added tags and owner

* update PR for Query as Entity

* update type

* fixed pagination

* fix path param

* fix TestCases

* add validation criteria

* removed exisitng query apis

* checkstyle fix

* remove vote from put

* remove vote from put

* Query As Entity Ingestion Changes

* Remove unused func

* update Review Comments

* update Review Comments

* remove previous changes for Query and Update Tests

* moved Checksum to Query Util Class

* update python api

* fix python checkstyle

* Fixed Tests

* Fix pytest

* remove space changes

* remove space changes

* Fixed put_addFollowerDeleteEntity_200

* Fix usage ingestion

* Update Python SDK and tests

* pylint fix

---------

Co-authored-by: Himank Mehta <himankmehta@Himanks-MacBook-Air.local>
Co-authored-by: ulixius9 <mayursingal9@gmail.com>
Co-authored-by: Mayur Singal <39544459+ulixius9@users.noreply.github.com>
2023-03-15 20:55:30 -07:00

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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 Processor Class
"""
import datetime
from unittest import TestCase
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.api.services.createDatabaseService import (
CreateDatabaseServiceRequest,
)
from metadata.generated.schema.entity.data.table import (
Column,
ColumnName,
DataType,
Table,
TableData,
TableType,
)
from metadata.generated.schema.entity.services.connections.database.mysqlConnection import (
MysqlConnection,
)
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.security.client.openMetadataJWTClientConfig import (
OpenMetadataJWTClientConfig,
)
from metadata.generated.schema.type.basic import AnyUrl, Href
from metadata.generated.schema.type.entityReference import EntityReference
from metadata.generated.schema.type.tagLabel import (
LabelType,
State,
TagFQN,
TagLabel,
TagSource,
)
from metadata.ingestion.ometa.ometa_api import OpenMetadata
from metadata.ingestion.processor.pii import NERScanner
MOCK_TABLE: CreateTableRequest = CreateTableRequest(
name="DataSet Input",
displayName="DataSet Input",
description="this is a description for dataset input",
tableType=TableType.Regular.value,
columns=[
Column(
name="amount",
displayName=None,
dataType=DataType.DOUBLE.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="This is description for amount",
fullyQualifiedName=None,
tags=None,
constraint=None,
ordinalPosition=1,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="bank_transfer_amount",
displayName=None,
dataType=DataType.DOUBLE.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=None,
constraint=None,
ordinalPosition=2,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="coupon_amount",
displayName=None,
dataType=DataType.DOUBLE.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=None,
constraint=None,
ordinalPosition=3,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="credit_card_amount",
displayName=None,
dataType=DataType.DOUBLE.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN="PersonalData.Personal",
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="FirstName",
displayName=None,
dataType=DataType.STRING.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=None,
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="is_customer",
displayName=None,
dataType=DataType.BOOLEAN.value,
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN="PersonalData.Personal",
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
],
tableConstraints=None,
tablePartition=None,
tableProfilerConfig=None,
owner=None,
databaseSchema="default.default.schema",
tags=None,
viewDefinition=None,
extension=None,
)
EXPECTED_COLUMNS = [
Column(
name="amount",
displayName=None,
dataType="DOUBLE",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="This is description for amount",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=1,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="bank_transfer_amount",
displayName=None,
dataType="DOUBLE",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=2,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="coupon_amount",
displayName=None,
dataType="DOUBLE",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=3,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="credit_card_amount",
displayName=None,
dataType="DOUBLE",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN="PersonalData.Personal",
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
),
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
),
],
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="FirstName",
displayName=None,
dataType="STRING",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.NonSensitive"),
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name="is_customer",
displayName=None,
dataType="BOOLEAN",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay=None,
description="",
fullyQualifiedName=None,
tags=[
TagLabel(
tagFQN="PersonalData.Personal",
description=None,
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=4,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
]
table_data = TableData(
columns=[
ColumnName(__root__="customer_id"),
ColumnName(__root__="first_name"),
ColumnName(__root__="last_name"),
ColumnName(__root__="first_order"),
ColumnName(__root__="customer_email"),
ColumnName(__root__="number_of_orders"),
],
rows=[
[
30,
"Christina",
"W.",
datetime.date(2018, 3, 2),
"christina@hotmail.com",
2,
],
[73, "Alan", "B.", None, "joshua.alan@yahoo.com", None],
[71, "Gerald", "C.", datetime.date(2018, 1, 18), "geraldc@gmail.com", 3],
[35, "Sara", "T.", datetime.date(2018, 2, 21), "saratimithi@godesign.com", 2],
[22, "Sean", "H.", datetime.date(2018, 1, 26), "heroldsean@google.com", 3],
[50, "Billy", "L.", datetime.date(2018, 1, 5), "bliam@random.com", 2],
[
76,
"Barbara",
"W.",
datetime.date(2018, 3, 23),
"bmwastin@gmail.co.in",
1,
],
[5, "Katherine", "R.", None, None, None],
[31, "Jane", "G.", datetime.date(2018, 2, 17), "gg34jane@hammer.com", 1],
[45, "Scott", "B.", None, None, None],
[21, "Willie", "H.", datetime.date(2018, 3, 28), "12hwilliejose@gmail.com", 1],
[18, "Johnny", "K.", datetime.date(2018, 2, 27), "johnnykk@dexter.com", 1],
[6, "Sarah", "R.", datetime.date(2018, 2, 19), "rrsarah@britinia.com", 1],
[56, "Joshua", "K.", None, None, None],
[79, "Jack", "R.", datetime.date(2018, 2, 28), "jack.mm@people.co.in", 2],
[94, "Gregory", "H.", datetime.date(2018, 1, 4), "peter.gregory@japer.com", 2],
[83, "Virginia", "R.", None, None, None],
[17, "Kimberly", "R.", None, None, None],
[2, "Shawn", "M.", datetime.date(2018, 1, 11), "shawn344@gmail.com", 1],
[60, "Norma", "W.", None, None, None],
[87, "Phillip", "B.", None, None, None],
],
)
TABLE_ENTITY = Table(
id="c6e75645-62e3-4110-8040-faa0e1ae3289",
name="customers",
displayName=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers",
description=None,
version=0.7,
updatedAt=1676984225597,
updatedBy="admin",
href=Href(
__root__=AnyUrl(
"http://localhost:8585/api/v1/tables/c6e75645-62e3-4110-8040-faa0e1ae3289",
scheme="http",
host="localhost",
host_type="int_domain",
port="8585",
path="/api/v1/tables/c6e75645-62e3-4110-8040-faa0e1ae3289",
)
),
tableType="Local",
columns=[
Column(
name=ColumnName(__root__="customer_id"),
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="int",
description="This is an ID identifing a unique customer",
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.customer_id",
tags=[
TagLabel(
tagFQN="PII.Sensitive",
source=TagSource.Classification.value,
labelType=LabelType.Automated.value,
state=State.Suggested.value,
)
],
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="first_name"),
displayName=None,
dataType="VARCHAR",
arrayDataType=None,
dataLength=10,
precision=None,
scale=None,
dataTypeDisplay="varchar(10)",
description=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.first_name",
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="last_name"),
displayName=None,
dataType="VARCHAR",
arrayDataType=None,
dataLength=2,
precision=None,
scale=None,
dataTypeDisplay="varchar(2)",
description=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.last_name",
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="first_order"),
displayName=None,
dataType="DATE",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="date",
description=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.first_order",
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="customer_email"),
displayName=None,
dataType="DATE",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="date",
description=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.customer_email",
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="number_of_orders"),
displayName=None,
dataType="BIGINT",
arrayDataType=None,
dataLength=1,
precision=None,
scale=None,
dataTypeDisplay="bigint",
description=None,
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle.customers.number_of_orders",
tags=None,
constraint="NULL",
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
],
tableConstraints=None,
tablePartition=None,
owner=None,
databaseSchema=EntityReference(
id="9db326f8-c23c-49c5-bc75-865cb8e87981",
type="databaseSchema",
name="dbt_jaffle",
fullyQualifiedName="aws_redshift1.dev.dbt_jaffle",
description=None,
displayName=None,
deleted=False,
href=Href(
__root__=AnyUrl(
"http://localhost:8585/api/v1/databaseSchemas/9db326f8-c23c-49c5-bc75-865cb8e87981",
scheme="http",
host="localhost",
host_type="int_domain",
port="8585",
path="/api/v1/databaseSchemas/9db326f8-c23c-49c5-bc75-865cb8e87981",
)
),
),
database=EntityReference(
id="f74772d0-2827-442a-8aa4-3dfd136f0c53",
type="database",
name="dev",
fullyQualifiedName="aws_redshift1.dev",
description=None,
displayName=None,
deleted=False,
href=Href(
__root__=AnyUrl(
"http://localhost:8585/api/v1/databases/f74772d0-2827-442a-8aa4-3dfd136f0c53",
scheme="http",
host="localhost",
host_type="int_domain",
port="8585",
path="/api/v1/databases/f74772d0-2827-442a-8aa4-3dfd136f0c53",
)
),
),
service=EntityReference(
id="31964ed7-8b76-468f-8f1d-d3839792a3b0",
type="databaseService",
name="aws_redshift1",
fullyQualifiedName="aws_redshift1",
description=None,
displayName=None,
deleted=False,
href=Href(
__root__=AnyUrl(
"http://localhost:8585/api/v1/services/databaseServices/31964ed7-8b76-468f-8f1d-d3839792a3b0",
scheme="http",
host="localhost",
host_type="int_domain",
port="8585",
path="/api/v1/services/databaseServices/31964ed7-8b76-468f-8f1d-d3839792a3b0",
)
),
),
serviceType="Redshift",
location=None,
viewDefinition=None,
tags=None,
usageSummary=None,
followers=None,
joins=None,
sampleData=None,
tableProfilerConfig=None,
profile=None,
dataModel=None,
changeDescription=None,
deleted=False,
extension=None,
)
UPDATED_TABLE_ENTITY = [
Column(
name=ColumnName(__root__="customer_id"),
displayName=None,
dataType="INT",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay="int",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.customer_id",
tags=[],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="first_name"),
displayName=None,
dataType="VARCHAR",
arrayDataType=None,
dataLength=20,
precision=None,
scale=None,
dataTypeDisplay="varchar",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.first_name",
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=(
(
"PII which if lost, compromised, or disclosed without authorization, could result in "
"substantial harm, embarrassment, inconvenience, or unfairness to an individual."
)
),
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="last_name"),
displayName=None,
dataType="VARCHAR",
arrayDataType=None,
dataLength=20,
precision=None,
scale=None,
dataTypeDisplay="varchar",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.last_name",
tags=[],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="first_order"),
displayName=None,
dataType="DATE",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay="date",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.first_order",
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.NonSensitive"),
description=(
"PII which is easily accessible from public sources and can include zip code, "
"race, gender, and date of birth."
),
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="customer_email"),
displayName=None,
dataType="VARCHAR",
arrayDataType=None,
dataLength=20,
precision=None,
scale=None,
dataTypeDisplay="date",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.customer_email",
tags=[
TagLabel(
tagFQN=TagFQN(__root__="PII.Sensitive"),
description=(
(
"PII which if lost, compromised, or disclosed without authorization, could result in"
" substantial harm, embarrassment, inconvenience, or unfairness to an individual."
)
),
source="Classification",
labelType="Automated",
state="Suggested",
href=None,
)
],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
Column(
name=ColumnName(__root__="number_of_orders"),
displayName=None,
dataType="BIGINT",
arrayDataType=None,
dataLength=None,
precision=None,
scale=None,
dataTypeDisplay="bigint",
description=None,
fullyQualifiedName="test-service-table-patch.test-db.test-schema.customers.number_of_orders",
tags=[],
constraint=None,
ordinalPosition=None,
jsonSchema=None,
children=None,
customMetrics=None,
profile=None,
),
]
class PiiProcessorTest(TestCase):
"""
Run this integration test with different type of column name
to attach PII Tags
"""
def __init__(
self,
methodName,
) -> None:
super().__init__(methodName)
server_config = OpenMetadataConnection(
hostPort="http://localhost:8585/api",
authProvider="openmetadata",
securityConfig=OpenMetadataJWTClientConfig(
jwtToken="eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJh"
"bGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vc"
"mciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7Hgz"
"GBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUx"
"huv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakL"
"Lzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM"
"5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
),
)
self.metadata = OpenMetadata(server_config)
self.nerscanner_processor = NERScanner(self.metadata)
def test_nerscanner_process(self):
"""
test function for ner Scanner
"""
service = CreateDatabaseServiceRequest(
name="test-service-table-patch",
serviceType=DatabaseServiceType.Mysql,
connection=DatabaseConnection(
config=MysqlConnection(
username="username",
password="password",
hostPort="http://localhost:1234",
)
),
)
service_entity = self.metadata.create_or_update(data=service)
create_db = CreateDatabaseRequest(
name="test-db",
service=service_entity.fullyQualifiedName,
)
create_db_entity = self.metadata.create_or_update(data=create_db)
create_schema = CreateDatabaseSchemaRequest(
name="test-schema",
database=create_db_entity.fullyQualifiedName,
)
create_schema_entity = self.metadata.create_or_update(data=create_schema)
created_table = CreateTableRequest(
name="customers",
columns=[
Column(name="customer_id", dataType=DataType.INT),
Column(name="first_name", dataType=DataType.VARCHAR, dataLength=20),
Column(name="last_name", dataType=DataType.VARCHAR, dataLength=20),
Column(name="first_order", dataType=DataType.DATE),
Column(name="customer_email", dataType=DataType.VARCHAR, dataLength=20),
Column(name="number_of_orders", dataType=DataType.BIGINT),
],
databaseSchema=create_schema_entity.fullyQualifiedName,
)
table_entity = self.metadata.create_or_update(data=created_table)
TABLE_ENTITY.id = table_entity.id
self.nerscanner_processor.process(
table_data=table_data, table_entity=TABLE_ENTITY, client=self.metadata
)
updated_table_entity = self.metadata.get_by_id(
entity=Table, entity_id=table_entity.id, fields=["tags"]
)
for _, (expected, original) in enumerate(
zip(UPDATED_TABLE_ENTITY, updated_table_entity.columns)
):
self.assertEqual(expected.tags, original.tags)
self.metadata.delete(
entity=DatabaseService,
entity_id=service_entity.id,
recursive=True,
hard_delete=True,
)
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