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#  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
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#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#  limitations under the License.

"""
Protobuf parser tests
"""

import os
from unittest import TestCase

from metadata.generated.schema.entity.data.table import Column
from metadata.parsers.protobuf_parser import ProtobufParser, ProtobufParserConfig
from metadata.utils.messaging_utils import merge_and_clean_protobuf_schema


class ProtobufParserTests(TestCase):
    """
    Check methods from protobuf_parser.py
    """

    schema_name = "person_info"

    sample_protobuf_schema = """
    syntax = "proto3";
    package persons;
    enum Gender {
        M = 0; // male 
        F = 1; // female
        O = 2; // other
    }

    message Result {
        string url = 1;
        string title = 2;
        repeated string snippets = 3;
    }

    message PersonInfo {
        int32 age = 1; // age in years
        Gender gender = 2; 
        Result gender_new = 3; 
        int32 height = 4; // height in cm
        fixed32 height_new = 5; // height in cm
        bool my_bool = 6;
        repeated string repeated_string = 7;   
    }
    """

    protobuf_parser = ProtobufParser(
        config=ProtobufParserConfig(
            schema_name=schema_name, schema_text=sample_protobuf_schema
        )
    )
    parsed_schema = protobuf_parser.parse_protobuf_schema()

    def test_schema_name(self):
        self.assertEqual(self.parsed_schema[0].name.root, "PersonInfo")

    def test_schema_type(self):
        self.assertEqual(self.parsed_schema[0].dataType.name, "RECORD")

    def test_field_names(self):
        field_names = {str(field.name.root) for field in self.parsed_schema[0].children}
        self.assertEqual(
            field_names,
            {
                "height",
                "gender",
                "age",
                "gender_new",
                "height_new",
                "my_bool",
                "repeated_string",
            },
        )

    def test_field_types(self):
        field_types = {
            str(field.dataType.name) for field in self.parsed_schema[0].children
        }
        self.assertEqual(
            field_types, {"INT", "ENUM", "RECORD", "FIXED", "STRING", "BOOLEAN"}
        )

    def test_column_types(self):
        parsed_schema = self.protobuf_parser.parse_protobuf_schema(cls=Column)
        field_types = {str(field.dataType.name) for field in parsed_schema[0].children}
        self.assertEqual(field_types, {"INT", "ENUM", "RECORD", "STRING", "BOOLEAN"})

    def test_complex_protobuf_schema_files(self):
        """
        We'll read the files under ./ingestion/tests/unit/resources/protobuf_parser and parse them
        This will be similar in way to how we get the data from kafka source
        """
        resource_path = f"{os.path.dirname(__file__)}/resources/protobuf_parser/"
        schema_name = "employee"
        file_list = os.listdir(resource_path)
        schema_text = ""
        for file_name in file_list:
            file_path = os.path.join(resource_path, file_name)
            with open(file_path, "r") as file:
                schema_text = schema_text + file.read()
        schema_text = merge_and_clean_protobuf_schema(schema_text)
        protobuf_parser = ProtobufParser(
            config=ProtobufParserConfig(
                schema_name=schema_name, schema_text=schema_text
            )
        )
        parsed_schema = protobuf_parser.parse_protobuf_schema()
        self.assertEqual(parsed_schema[0].name.root, "Employee")
        self.assertEqual(len(parsed_schema[0].children), 4)
        self.assertEqual(parsed_schema[0].children[3].name.root, "contact")
        self.assertEqual(parsed_schema[0].children[3].children[0].name.root, "email")
        self.assertEqual(parsed_schema[0].children[3].children[1].name.root, "phone")