* WIP * WIP - make test_model_definition tests pass * WIP - make test_model_methods pass * WIP - make whole test suit at least run - failing 49/443 tests * WIP fix part of the getting pydantic tests as types of fields are now kept in core schema and not on fieldsinfo * WIP fix validation in update by creating individual fields validators, failing 36/443 * WIP fix __pydantic_extra__ in intializing model, fix test related to pydantic config checks, failing 32/442 * WIP - fix enum schema in model_json_schema, failing 31/442 * WIP - fix copying through model, fix setting pydantic fields on through, fix default config and inheriting from it, failing 26/442 * WIP fix tests checking pydantic schema, fix excluding parent fields, failing 21/442 * WIP some missed files * WIP - fix validators inheritance and fix validators in generated pydantic, failing 17/442 * WIP - fix through models setting - only on reverse side of relation, but always on reverse side, failing 15/442 * WIP - fix through models setting - only on reverse side of relation, but always on reverse side, failing 15/442 * WIP - working on proper populating __dict__ for relations for new schema dumping, some work on openapi docs, failing 13/442 * WIP - remove property fields as pydantic has now computed_field on its own, failing 9/442 * WIP - fixes in docs, failing 8/442 * WIP - fix tests for largebinary schema, wrapped bytes fields fail in pydantic, will be fixed in pydantic-core, remaining is circural schema for related models, failing 6/442 * WIP - fix to pk only models in schemas * Getting test suites to pass (#1249) * wip, fixing tests * iteration, fixing some more tests * iteration, fixing some more tests * adhere to comments * adhere to comments * remove unnecessary dict call, re-add getattribute for testing * todo for reverse relationship * adhere to comments, remove prints * solve circular refs * all tests pass 🎉 * remove 3.7 from tests * add lint and type check jobs * reforat with ruff, fix jobs * rename jobs * fix imports * fix evaluate in py3.8 * partially fix coverage * fix coverage, add more tests * fix test ids * fix test ids * fix lint, fix docs, make docs fully working scripts, add test docs job * fix pyproject * pin py ver in test docs * change dir in test docs * fix pydantic warning hack * rm poetry call in test_docs * switch to pathlib in test docs * remove coverage req test docs * fix type check tests, fix part of types * fix/skip next part of types * fix next part of types * fix next part of types * fix coverage * fix coverage * fix type (bit dirty 🤷) * fix some code smells * change pre-commit * tweak workflows * remove no root from tests * switch to full python path by passing sys.executable * some small refactor in new base model, one sample test, change makefile * small refactors to reduce complexity of methods * temp add tests for prs against pydantic_v2 * remove all references to __fields__ * remove all references to construct, deprecate the method and update model_construct to be in line with pydantic * deprecate dict and add model_dump, todo switch to model_dict in calls * fix tests * change to union * change to union * change to model_dump and model_dump_json from dict and json deprecated methods, deprecate them in ormar too * finish switching dict() -> model_dump() * finish switching json() -> model_dump_json() * remove fully pydantic_only * switch to extra for payment card, change missed json calls * fix coverage - no more warnings internal * fix coverage - no more warnings internal - part 2 * split model_construct into own and pydantic parts * split determine pydantic field type * change to new field validators * fix benchmarks, add codspeed instead of pytest-benchmark, add action and gh workflow * restore pytest-benchmark * remove codspeed * pin pydantic version, restore codspeed * change on push to pydantic_v2 to trigger first one * Use lifespan function instead of event (#1259) * check return types * fix imports order, set warnings=False on json that passes the dict, fix unnecessary loop in one of the test * remove references to model's meta as it's now ormar config, rename related methods too * filter out pydantic serializer warnings * remove choices leftovers * remove leftovers after property_fields, keep only enough to exclude them in initialization * add migration guide * fix meta references * downgrade databases for now * Change line numbers in documentation (#1265) * proofread and fix the docs, part 1 * proofread and fix the docs for models * proofread and fix the docs for fields * proofread and fix the docs for relations * proofread and fix rest of the docs, add release notes for 0.20 * create tables in new docs src * cleanup old deps, uncomment docs publish on tag * fix import reorder --------- Co-authored-by: TouwaStar <30479449+TouwaStar@users.noreply.github.com> Co-authored-by: Goran Mekić <meka@tilda.center>
221 lines
6.0 KiB
Python
221 lines
6.0 KiB
Python
# type: ignore
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import datetime
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import decimal
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import typing
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import ormar
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import pydantic
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import pytest
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import sqlalchemy
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from ormar.exceptions import ModelDefinitionError
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from ormar.models import Model
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from tests.lifespan import init_tests
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from tests.settings import create_config
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base_ormar_config = create_config()
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class ExampleModel(Model):
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ormar_config = base_ormar_config.copy(tablename="example")
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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_smallint: int = ormar.SmallInteger(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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ormar_config = base_ormar_config.copy(tablename="example2")
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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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create_test_database = init_tests(base_ormar_config)
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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.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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ormar_config = ormar.OrmarConfig(
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tablename="jsons2",
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database=base_ormar_config.database,
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)
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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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ormar_config = ormar.OrmarConfig(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_wrong_pydantic_config():
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with pytest.raises(ModelDefinitionError):
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class ErrorSample(ormar.Model):
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model_config = ["test"]
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ormar_config = ormar.OrmarConfig(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.model_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.ormar_config.table.__class__, sqlalchemy.Table)
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assert all(
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[field in example.ormar_config.table.columns for field in fields_to_check]
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)
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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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ormar_config = base_ormar_config.copy(tablename="example2")
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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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ormar_config = base_ormar_config.copy(tablename="example3")
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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_decimal_error_in_model_definition():
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with pytest.raises(ModelDefinitionError):
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class ExampleModel2(Model):
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ormar_config = base_ormar_config.copy(tablename="example5")
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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_binary_error_without_length_model_definition():
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with pytest.raises(ModelDefinitionError):
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class ExampleModel2(Model):
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ormar_config = base_ormar_config.copy(tablename="example6")
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test: bytes = ormar.LargeBinary(primary_key=True, max_length=-1)
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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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ormar_config = base_ormar_config.copy(tablename="example6")
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test: str = ormar.String(primary_key=True, max_length=0)
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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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