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https://github.com/aiogram/aiogram.git
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04bd0c9e7c
* Ensure base type validation can handle non-dictionary values The update introduces a condition to verify whether the values being validated are a dictionary before attempting to handle UNSET_TYPE in the aiogram base type. This adjustment helps to prevent potential errors or incorrect validation when non-dictionary values are faced. * Added a test case for non-dictionary input in remove_unset method * Added changelog * Fixed tests
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
from unittest.mock import sentinel
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import pytest
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from aiogram.methods import GetMe, TelegramMethod
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from aiogram.types import User, TelegramObject
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from tests.mocked_bot import MockedBot
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class TestTelegramMethodRemoveUnset:
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@pytest.mark.parametrize(
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"values,names",
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[
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[{}, set()],
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[{"foo": "bar"}, {"foo"}],
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[{"foo": "bar", "baz": sentinel.DEFAULT}, {"foo"}],
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],
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)
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@pytest.mark.parametrize("obj", [TelegramMethod, TelegramObject])
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def test_remove_unset(self, values, names, obj):
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validated = obj.remove_unset(values)
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assert set(validated.keys()) == names
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@pytest.mark.parametrize("obj", [TelegramMethod, TelegramObject])
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def test_remove_unset_non_dict(self, obj):
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assert obj.remove_unset("") == ""
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class TestTelegramMethodCall:
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async def test_async_emit_unsuccessful(self, bot: MockedBot):
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with pytest.raises(
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RuntimeError,
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match="This method is not mounted to a any bot instance.+",
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):
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await GetMe()
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async def test_async_emit(self, bot: MockedBot):
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bot.add_result_for(GetMe, ok=True, result=User(id=42, is_bot=True, first_name="Test"))
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method = GetMe().as_(bot)
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assert isinstance(await method, User)
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