OpenMetadata/ingestion/tests/unit/test_sample_usage.py
2025-04-03 10:39:47 +05:30

106 lines
3.5 KiB
Python

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# 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.
"""
Query parser utils tests
"""
import json
import os.path
from unittest import TestCase
from metadata.workflow.usage import UsageWorkflow
config = """
{
"source": {
"type": "custom-database",
"serviceName": "sample_data",
"serviceConnection": {
"config": {
"type": "CustomDatabase",
"sourcePythonClass": "metadata.ingestion.source.database.sample_usage.SampleUsageSource",
"connectionOptions": {
"sampleDataFolder": "ingestion/examples/sample_data"
}
}
},
"sourceConfig": {
"config":{
"type": "DatabaseUsage"
}
}
},
"processor": {
"type": "query-parser",
"config": {}
},
"stage": {
"type": "table-usage",
"config": {
"filename": "/tmp/sample_usage"
}
},
"bulkSink": {
"type": "metadata-usage",
"config": {
"filename": "/tmp/sample_usage"
}
},
"workflowConfig": {
"openMetadataServerConfig": {
"hostPort": "http://localhost:8585/api",
"authProvider": "openmetadata",
"securityConfig": {
"jwtToken": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
}
}
}
}
"""
class QueryParserTest(TestCase):
def test_join_count(self):
"""
Check the join count
"""
expected_result = {
"shopify.raw_product_catalog": 5,
"dim_customer": 4,
"fact_order": 4,
"shopify.fact_sale": 5,
"shopify.raw_customer": 11,
}
config_dict = json.loads(config)
config_dict["source"]["serviceConnection"]["config"]["connectionOptions"][
"sampleDataFolder"
] = (
os.path.dirname(__file__)
+ "/../../../"
+ config_dict["source"]["serviceConnection"]["config"]["connectionOptions"][
"sampleDataFolder"
]
)
workflow = UsageWorkflow.create(config_dict)
workflow.execute()
table_usage_map = {}
# UsageWorkflow has the steps (processor, stage, bulk_sink)
for key, value in workflow.steps[1].table_usage.items():
table_usage_map[key[0]] = value.count
for table_name, expected_count in expected_result.items():
try:
self.assertEqual(table_usage_map[table_name], expected_count)
except KeyError:
self.assertTrue(False)
workflow.stop()