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	* Fix #10429: Kafka Sample data improvements and adding support for JSONSchema and Protobuf * Fix #10429: Kafka Sample data improvements and adding support for JSONSchema and Protobuf * Fix #10429: Kafka Sample data improvements and adding support for JSONSchema and Protobuf * Fix #10429: Kafka Sample data improvements and adding support for JSONSchema and Protobuf * Added top level parsing and unit tests * fix(ui): show schemaText and fields both * fix no data placeholder for fields & schema text * addressing comments * fixed py checkstyle --------- Co-authored-by: Onkar Ravgan <onkar.10r@gmail.com> Co-authored-by: Chirag Madlani <12962843+chirag-madlani@users.noreply.github.com>
		
			
				
	
	
		
			67 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			67 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#  Copyright 2021 Collate
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#  Licensed under the Apache License, Version 2.0 (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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#  http://www.apache.org/licenses/LICENSE-2.0
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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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Protobuf parser tests
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"""
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from unittest import TestCase
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from metadata.parsers.protobuf_parser import ProtobufParser, ProtobufParserConfig
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class ProtobufParserTests(TestCase):
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    """
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    Check methods from protobuf_parser.py
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    """
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    schema_name = "person_info"
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    sample_protobuf_schema = """
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    syntax = "proto3";
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    package persons;
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    enum Gender {
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        M = 0; // male 
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        F = 1; // female
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        O = 2; // other
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    }
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    message PersonInfo {
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        int32 age = 1; // age in years
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        Gender gender = 2; 
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        int32 height = 3; // height in cm
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    }
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    """
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    protobuf_parser = ProtobufParser(
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        config=ProtobufParserConfig(
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            schema_name=schema_name, schema_text=sample_protobuf_schema
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        )
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    )
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    parsed_schema = protobuf_parser.parse_protobuf_schema()
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    def test_schema_name(self):
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        self.assertEqual(self.parsed_schema[0].name.__root__, "PersonInfo")
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    def test_schema_type(self):
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        self.assertEqual(self.parsed_schema[0].dataType.name, "RECORD")
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    def test_field_names(self):
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        field_names = {
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            str(field.name.__root__) for field in self.parsed_schema[0].children
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        }
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        self.assertEqual(field_names, {"height", "gender", "age"})
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    def test_field_types(self):
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        field_types = {
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            str(field.dataType.name) for field in self.parsed_schema[0].children
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        }
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        self.assertEqual(field_types, {"INT", "ENUM"})
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