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			106 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			106 lines
		
	
	
		
			3.5 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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| """
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| Query parser utils tests
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| """
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| import json
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| import os.path
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| from unittest import TestCase
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| 
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| from metadata.workflow.usage import UsageWorkflow
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| 
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| config = """
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| {
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|   "source": {
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|     "type": "custom-database",
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|     "serviceName": "sample_data",
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|     "serviceConnection": {
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|       "config": {
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|         "type": "CustomDatabase",
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|         "sourcePythonClass": "metadata.ingestion.source.database.sample_usage.SampleUsageSource",
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|         "connectionOptions": {
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|           "sampleDataFolder": "ingestion/examples/sample_data"
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|         }
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|       }
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|     },
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|     "sourceConfig": {
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|       "config":{
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|         "type": "DatabaseUsage"
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|       }
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|     }
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|   },
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|   "processor": {
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|     "type": "query-parser",
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|     "config": {}
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|   },
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|   "stage": {
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|     "type": "table-usage",
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|     "config": {
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|       "filename": "/tmp/sample_usage"
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|     }
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|   },
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|   "bulkSink": {
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|     "type": "metadata-usage",
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|     "config": {
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|       "filename": "/tmp/sample_usage"
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|     }
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|   },
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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": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
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|       }
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|     }
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|   }
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| }
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| """
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| 
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| 
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| class QueryParserTest(TestCase):
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|     def test_join_count(self):
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|         """
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|         Check the join count
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|         """
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|         expected_result = {
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|             "shopify.raw_product_catalog": 5,
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|             "dim_customer": 4,
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|             "fact_order": 4,
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|             "shopify.fact_sale": 5,
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|             "shopify.raw_customer": 11,
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|         }
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|         config_dict = json.loads(config)
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|         config_dict["source"]["serviceConnection"]["config"]["connectionOptions"][
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|             "sampleDataFolder"
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|         ] = (
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|             os.path.dirname(__file__)
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|             + "/../../../"
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|             + config_dict["source"]["serviceConnection"]["config"]["connectionOptions"][
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|                 "sampleDataFolder"
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|             ]
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|         )
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|         workflow = UsageWorkflow.create(config_dict)
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|         workflow.execute()
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|         table_usage_map = {}
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| 
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|         # UsageWorkflow has the steps (processor, stage, bulk_sink)
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|         for key, value in workflow.steps[1].table_usage.items():
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|             table_usage_map[key[0]] = value.count
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| 
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|         for table_name, expected_count in expected_result.items():
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|             try:
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|                 self.assertEqual(table_usage_map[table_name], expected_count)
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|             except KeyError:
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|                 self.assertTrue(False)
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|         workflow.stop()
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