* 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>
124 lines
3.8 KiB
Python
124 lines
3.8 KiB
Python
from datetime import date, datetime, time, timedelta, timezone
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import ormar
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import pytest
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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 DateFieldsModel(ormar.Model):
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ormar_config = base_ormar_config.copy()
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id: int = ormar.Integer(primary_key=True)
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created_date: datetime = ormar.DateTime(
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default=datetime.now(tz=timezone(timedelta(hours=3))), timezone=True
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)
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updated_date: datetime = ormar.DateTime(
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default=datetime.now(tz=timezone(timedelta(hours=3))),
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name="modification_date",
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timezone=True,
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)
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class SampleModel(ormar.Model):
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ormar_config = base_ormar_config.copy()
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id: int = ormar.Integer(primary_key=True)
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updated_at: datetime = ormar.DateTime()
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class TimeModel(ormar.Model):
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ormar_config = base_ormar_config.copy()
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id: int = ormar.Integer(primary_key=True)
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elapsed: time = ormar.Time()
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class DateModel(ormar.Model):
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ormar_config = base_ormar_config.copy()
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id: int = ormar.Integer(primary_key=True)
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creation_date: date = ormar.Date()
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class MyModel(ormar.Model):
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id: int = ormar.Integer(primary_key=True)
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created_at: datetime = ormar.DateTime(timezone=True, nullable=False)
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ormar_config = base_ormar_config.copy(tablename="mymodels")
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create_test_database = init_tests(base_ormar_config)
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@pytest.mark.asyncio
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async def test_model_crud_with_timezone():
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async with base_ormar_config.database:
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datemodel = await DateFieldsModel().save()
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assert datemodel.created_date is not None
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assert datemodel.updated_date is not None
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@pytest.mark.asyncio
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async def test_query_with_datetime_in_filter():
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async with base_ormar_config.database:
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creation_dt = datetime(2021, 5, 18, 0, 0, 0, 0)
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sample = await SampleModel.objects.create(updated_at=creation_dt)
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current_dt = datetime(2021, 5, 19, 0, 0, 0, 0)
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outdated_samples = await SampleModel.objects.filter(
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updated_at__lt=current_dt
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).all()
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assert outdated_samples[0] == sample
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@pytest.mark.asyncio
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async def test_query_with_date_in_filter():
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async with base_ormar_config.database:
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sample = await TimeModel.objects.create(elapsed=time(0, 20, 20))
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await TimeModel.objects.create(elapsed=time(0, 12, 0))
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await TimeModel.objects.create(elapsed=time(0, 19, 55))
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sample4 = await TimeModel.objects.create(elapsed=time(0, 21, 15))
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threshold = time(0, 20, 0)
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samples = await TimeModel.objects.filter(TimeModel.elapsed >= threshold).all()
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assert len(samples) == 2
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assert samples[0] == sample
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assert samples[1] == sample4
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@pytest.mark.asyncio
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async def test_query_with_time_in_filter():
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async with base_ormar_config.database:
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await DateModel.objects.create(creation_date=date(2021, 5, 18))
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sample2 = await DateModel.objects.create(creation_date=date(2021, 5, 19))
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sample3 = await DateModel.objects.create(creation_date=date(2021, 5, 20))
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outdated_samples = await DateModel.objects.filter(
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creation_date__in=[date(2021, 5, 19), date(2021, 5, 20)]
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).all()
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assert len(outdated_samples) == 2
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assert outdated_samples[0] == sample2
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assert outdated_samples[1] == sample3
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@pytest.mark.asyncio
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async def test_filtering_by_timezone_with_timedelta():
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async with base_ormar_config.database:
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now_utc = datetime.now(timezone.utc)
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object = MyModel(created_at=now_utc)
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await object.save()
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one_hour_ago = datetime.now(timezone.utc) - timedelta(hours=1)
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created_since_one_hour_ago = await MyModel.objects.filter(
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created_at__gte=one_hour_ago
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).all()
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assert len(created_since_one_hour_ago) == 1
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