Files
ormar/tests/test_model_definition/test_model_definition.py
collerek 500625f0ec WIP - Pydantic v2 support (#1238)
* 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>
2024-03-23 19:28:28 +01:00

221 lines
6.0 KiB
Python

# type: ignore
import datetime
import decimal
import typing
import ormar
import pydantic
import pytest
import sqlalchemy
from ormar.exceptions import ModelDefinitionError
from ormar.models import Model
from tests.lifespan import init_tests
from tests.settings import create_config
base_ormar_config = create_config()
class ExampleModel(Model):
ormar_config = base_ormar_config.copy(tablename="example")
test: int = ormar.Integer(primary_key=True)
test_string: str = ormar.String(max_length=250)
test_text: str = ormar.Text(default="")
test_bool: bool = ormar.Boolean(nullable=False)
test_float = ormar.Float(nullable=True)
test_datetime = ormar.DateTime(default=datetime.datetime.now)
test_date = ormar.Date(default=datetime.date.today)
test_time = ormar.Time(default=datetime.time)
test_json = ormar.JSON(default={})
test_bigint: int = ormar.BigInteger(default=0)
test_smallint: int = ormar.SmallInteger(default=0)
test_decimal = ormar.Decimal(scale=2, precision=10)
test_decimal2 = ormar.Decimal(max_digits=10, decimal_places=2)
fields_to_check = [
"test",
"test_text",
"test_string",
"test_datetime",
"test_date",
"test_text",
"test_float",
"test_bigint",
"test_json",
]
class ExampleModel2(Model):
ormar_config = base_ormar_config.copy(tablename="example2")
test: int = ormar.Integer(primary_key=True)
test_string: str = ormar.String(max_length=250)
create_test_database = init_tests(base_ormar_config)
@pytest.fixture()
def example():
return ExampleModel(
pk=1,
test_string="test",
test_bool=True,
test_decimal=decimal.Decimal(3.5),
test_decimal2=decimal.Decimal(5.5),
)
def test_not_nullable_field_is_required():
with pytest.raises(pydantic.ValidationError):
ExampleModel(test=1, test_string="test")
def test_model_attribute_access(example):
assert example.test == 1
assert example.test_string == "test"
assert example.test_datetime.year == datetime.datetime.now().year
assert example.test_date == datetime.date.today()
assert example.test_text == ""
assert example.test_float is None
assert example.test_bigint == 0
assert example.test_json == {}
assert example.test_decimal == 3.5
assert example.test_decimal2 == 5.5
example.test = 12
assert example.test == 12
example._orm_saved = True
assert example._orm_saved
def test_model_attribute_json_access(example):
example.test_json = dict(aa=12)
assert example.test_json == dict(aa=12)
def test_missing_metadata():
with pytest.raises(ModelDefinitionError):
class JsonSample2(ormar.Model):
ormar_config = ormar.OrmarConfig(
tablename="jsons2",
database=base_ormar_config.database,
)
id: int = ormar.Integer(primary_key=True)
test_json = ormar.JSON(nullable=True)
def test_missing_database():
with pytest.raises(ModelDefinitionError):
class JsonSample3(ormar.Model):
ormar_config = ormar.OrmarConfig(tablename="jsons3")
id: int = ormar.Integer(primary_key=True)
test_json = ormar.JSON(nullable=True)
def test_wrong_pydantic_config():
with pytest.raises(ModelDefinitionError):
class ErrorSample(ormar.Model):
model_config = ["test"]
ormar_config = ormar.OrmarConfig(tablename="jsons3")
id: int = ormar.Integer(primary_key=True)
test_json = ormar.JSON(nullable=True)
def test_non_existing_attr(example):
with pytest.raises(ValueError):
example.new_attr = 12
def test_primary_key_access_and_setting(example):
assert example.pk == 1
example.pk = 2
assert example.pk == 2
assert example.test == 2
def test_pydantic_model_is_created(example):
assert issubclass(example.__class__, pydantic.BaseModel)
assert all([field in example.model_fields for field in fields_to_check])
assert example.test == 1
def test_sqlalchemy_table_is_created(example):
assert issubclass(example.ormar_config.table.__class__, sqlalchemy.Table)
assert all(
[field in example.ormar_config.table.columns for field in fields_to_check]
)
@typing.no_type_check
def test_no_pk_in_model_definition():
with pytest.raises(ModelDefinitionError): # type: ignore
class ExampleModel2(Model): # type: ignore
ormar_config = base_ormar_config.copy(tablename="example2")
test_string: str = ormar.String(max_length=250) # type: ignore
@typing.no_type_check
def test_two_pks_in_model_definition():
with pytest.raises(ModelDefinitionError):
@typing.no_type_check
class ExampleModel2(Model):
ormar_config = base_ormar_config.copy(tablename="example3")
id: int = ormar.Integer(primary_key=True)
test_string: str = ormar.String(max_length=250, primary_key=True)
@typing.no_type_check
def test_decimal_error_in_model_definition():
with pytest.raises(ModelDefinitionError):
class ExampleModel2(Model):
ormar_config = base_ormar_config.copy(tablename="example5")
test: decimal.Decimal = ormar.Decimal(primary_key=True)
@typing.no_type_check
def test_binary_error_without_length_model_definition():
with pytest.raises(ModelDefinitionError):
class ExampleModel2(Model):
ormar_config = base_ormar_config.copy(tablename="example6")
test: bytes = ormar.LargeBinary(primary_key=True, max_length=-1)
@typing.no_type_check
def test_string_error_in_model_definition():
with pytest.raises(ModelDefinitionError):
class ExampleModel2(Model):
ormar_config = base_ormar_config.copy(tablename="example6")
test: str = ormar.String(primary_key=True, max_length=0)
@typing.no_type_check
def test_json_conversion_in_model():
with pytest.raises(pydantic.ValidationError):
ExampleModel(
test_json=datetime.datetime.now(),
test=1,
test_string="test",
test_bool=True,
)