mirror of
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123 lines
4.2 KiB
Python
123 lines
4.2 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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Protobuf parser tests
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"""
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import os
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from unittest import TestCase
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from metadata.generated.schema.entity.data.table import Column
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from metadata.parsers.protobuf_parser import ProtobufParser, ProtobufParserConfig
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from metadata.utils.messaging_utils import merge_and_clean_protobuf_schema
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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 Result {
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string url = 1;
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string title = 2;
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repeated string snippets = 3;
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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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Result gender_new = 3;
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int32 height = 4; // height in cm
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fixed32 height_new = 5; // height in cm
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bool my_bool = 6;
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repeated string repeated_string = 7;
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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 = {str(field.name.root) for field in self.parsed_schema[0].children}
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self.assertEqual(
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field_names,
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{
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"height",
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"gender",
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"age",
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"gender_new",
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"height_new",
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"my_bool",
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"repeated_string",
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},
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)
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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(
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field_types, {"INT", "ENUM", "RECORD", "FIXED", "STRING", "BOOLEAN"}
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)
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def test_column_types(self):
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parsed_schema = self.protobuf_parser.parse_protobuf_schema(cls=Column)
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field_types = {str(field.dataType.name) for field in parsed_schema[0].children}
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self.assertEqual(field_types, {"INT", "ENUM", "RECORD", "STRING", "BOOLEAN"})
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def test_complex_protobuf_schema_files(self):
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"""
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We'll read the files under ./ingestion/tests/unit/resources/protobuf_parser and parse them
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This will be similar in way to how we get the data from kafka source
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"""
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resource_path = f"{os.path.dirname(__file__)}/resources/protobuf_parser/"
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schema_name = "employee"
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file_list = os.listdir(resource_path)
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schema_text = ""
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for file_name in file_list:
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file_path = os.path.join(resource_path, file_name)
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with open(file_path, "r") as file:
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schema_text = schema_text + file.read()
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schema_text = merge_and_clean_protobuf_schema(schema_text)
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protobuf_parser = ProtobufParser(
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config=ProtobufParserConfig(
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schema_name=schema_name, schema_text=schema_text
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)
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)
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parsed_schema = protobuf_parser.parse_protobuf_schema()
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self.assertEqual(parsed_schema[0].name.root, "Employee")
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self.assertEqual(len(parsed_schema[0].children), 4)
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self.assertEqual(parsed_schema[0].children[3].name.root, "contact")
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self.assertEqual(parsed_schema[0].children[3].children[0].name.root, "email")
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self.assertEqual(parsed_schema[0].children[3].children[1].name.root, "phone")
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