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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>
79 lines
2.5 KiB
Python
79 lines
2.5 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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Jsonschema parser tests
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"""
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from unittest import TestCase
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from metadata.parsers.json_schema_parser import parse_json_schema
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class JsonSchemaParserTests(TestCase):
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"""
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Check methods from json_schema_parser.py
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"""
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sample_json_schema = """{
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"$id": "https://example.com/person.schema.json",
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "Person",
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"type": "object",
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"properties": {
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"firstName": {
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"type": "string",
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"description": "The person's first name."
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},
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"lastName": {
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"type": "string",
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"description": "The person's last name."
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},
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"age": {
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"description": "Age in years which must be equal to or greater than zero.",
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"type": "integer",
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"minimum": 0
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}
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}
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}"""
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parsed_schema = parse_json_schema(sample_json_schema)
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def test_schema_name(self):
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self.assertEqual(self.parsed_schema[0].name.__root__, "Person")
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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, {"firstName", "lastName", "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", "STRING"})
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def test_field_descriptions(self):
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field_descriptions = {
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str(field.description.__root__) for field in self.parsed_schema[0].children
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}
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self.assertEqual(
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field_descriptions,
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{
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"The person's first name.",
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"The person's last name.",
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"Age in years which must be equal to or greater than zero.",
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},
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)
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