split tests into packages
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242
tests/test_model_definition/test_model_definition.py
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242
tests/test_model_definition/test_model_definition.py
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# type: ignore
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import asyncio
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import datetime
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import decimal
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import databases
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import pydantic
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import pytest
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import sqlalchemy
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import typing
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import ormar
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from ormar.exceptions import ModelDefinitionError
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from ormar.models import Model
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from tests.settings import DATABASE_URL
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metadata = sqlalchemy.MetaData()
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database = databases.Database(DATABASE_URL, force_rollback=True)
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class ExampleModel(Model):
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class Meta:
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tablename = "example"
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metadata = metadata
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database = database
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test: int = ormar.Integer(primary_key=True)
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test_string: str = ormar.String(max_length=250)
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test_text: str = ormar.Text(default="")
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test_bool: bool = ormar.Boolean(nullable=False)
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test_float = ormar.Float(nullable=True)
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test_datetime = ormar.DateTime(default=datetime.datetime.now)
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test_date = ormar.Date(default=datetime.date.today)
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test_time = ormar.Time(default=datetime.time)
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test_json = ormar.JSON(default={})
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test_bigint: int = ormar.BigInteger(default=0)
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test_decimal = ormar.Decimal(scale=2, precision=10)
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test_decimal2 = ormar.Decimal(max_digits=10, decimal_places=2)
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fields_to_check = [
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"test",
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"test_text",
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"test_string",
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"test_datetime",
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"test_date",
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"test_text",
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"test_float",
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"test_bigint",
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"test_json",
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]
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class ExampleModel2(Model):
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class Meta:
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tablename = "examples"
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metadata = metadata
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database = database
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test: int = ormar.Integer(primary_key=True)
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test_string: str = ormar.String(max_length=250)
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@pytest.fixture(scope="module")
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def event_loop():
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loop = asyncio.get_event_loop()
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yield loop
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loop.close()
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@pytest.fixture(autouse=True, scope="module")
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async def create_test_database():
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engine = sqlalchemy.create_engine(DATABASE_URL)
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metadata.create_all(engine)
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yield
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metadata.drop_all(engine)
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@pytest.fixture()
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def example():
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return ExampleModel(
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pk=1,
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test_string="test",
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test_bool=True,
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test_decimal=decimal.Decimal(3.5),
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test_decimal2=decimal.Decimal(5.5),
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)
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def test_not_nullable_field_is_required():
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with pytest.raises(pydantic.error_wrappers.ValidationError):
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ExampleModel(test=1, test_string="test")
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def test_model_attribute_access(example):
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assert example.test == 1
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assert example.test_string == "test"
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assert example.test_datetime.year == datetime.datetime.now().year
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assert example.test_date == datetime.date.today()
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assert example.test_text == ""
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assert example.test_float is None
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assert example.test_bigint == 0
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assert example.test_json == {}
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assert example.test_decimal == 3.5
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assert example.test_decimal2 == 5.5
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example.test = 12
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assert example.test == 12
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example._orm_saved = True
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assert example._orm_saved
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def test_model_attribute_json_access(example):
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example.test_json = dict(aa=12)
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assert example.test_json == dict(aa=12)
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def test_missing_metadata():
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with pytest.raises(ModelDefinitionError):
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class JsonSample2(ormar.Model):
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class Meta:
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tablename = "jsons2"
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database = database
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id: int = ormar.Integer(primary_key=True)
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test_json = ormar.JSON(nullable=True)
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def test_missing_database():
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with pytest.raises(ModelDefinitionError):
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class JsonSample3(ormar.Model):
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class Meta:
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tablename = "jsons3"
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id: int = ormar.Integer(primary_key=True)
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test_json = ormar.JSON(nullable=True)
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def test_non_existing_attr(example):
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with pytest.raises(ValueError):
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example.new_attr = 12
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def test_primary_key_access_and_setting(example):
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assert example.pk == 1
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example.pk = 2
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assert example.pk == 2
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assert example.test == 2
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def test_pydantic_model_is_created(example):
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assert issubclass(example.__class__, pydantic.BaseModel)
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assert all([field in example.__fields__ for field in fields_to_check])
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assert example.test == 1
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def test_sqlalchemy_table_is_created(example):
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assert issubclass(example.Meta.table.__class__, sqlalchemy.Table)
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assert all([field in example.Meta.table.columns for field in fields_to_check])
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@typing.no_type_check
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def test_no_pk_in_model_definition():
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with pytest.raises(ModelDefinitionError): # type: ignore
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class ExampleModel2(Model): # type: ignore
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class Meta:
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tablename = "example2"
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database = database
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metadata = metadata
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test_string: str = ormar.String(max_length=250) # type: ignore
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@typing.no_type_check
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def test_two_pks_in_model_definition():
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with pytest.raises(ModelDefinitionError):
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@typing.no_type_check
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class ExampleModel2(Model):
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class Meta:
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tablename = "example3"
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database = database
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metadata = metadata
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id: int = ormar.Integer(primary_key=True)
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test_string: str = ormar.String(max_length=250, primary_key=True)
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@typing.no_type_check
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def test_setting_pk_column_as_pydantic_only_in_model_definition():
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with pytest.raises(ModelDefinitionError):
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class ExampleModel2(Model):
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class Meta:
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tablename = "example4"
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database = database
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metadata = metadata
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test: int = ormar.Integer(primary_key=True, pydantic_only=True)
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@typing.no_type_check
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def test_decimal_error_in_model_definition():
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with pytest.raises(ModelDefinitionError):
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class ExampleModel2(Model):
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class Meta:
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tablename = "example5"
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database = database
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metadata = metadata
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test: decimal.Decimal = ormar.Decimal(primary_key=True)
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@typing.no_type_check
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def test_string_error_in_model_definition():
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with pytest.raises(ModelDefinitionError):
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class ExampleModel2(Model):
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class Meta:
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tablename = "example6"
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database = database
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metadata = metadata
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test: str = ormar.String(primary_key=True)
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@typing.no_type_check
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def test_json_conversion_in_model():
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with pytest.raises(pydantic.ValidationError):
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ExampleModel(
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test_json=datetime.datetime.now(),
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test=1,
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test_string="test",
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test_bool=True,
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)
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