* 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>
147 lines
3.0 KiB
Python
147 lines
3.0 KiB
Python
"""
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The `ormar` package is an async mini ORM for Python, with support for **Postgres,
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MySQL**, and **SQLite**.
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The main benefit of using `ormar` are:
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* getting an **async ORM that can be used with async frameworks**
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(fastapi, starlette etc.)
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* getting just **one model to maintain** - you don't have to maintain pydantic
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and other orm model (sqlalchemy, peewee, gino etc.)
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The goal was to create a simple ORM that can be **used directly
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(as request and response models)
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with `fastapi`** that bases it's data validation on pydantic.
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Ormar - apart form obvious ORM in name - get it's name from ormar in swedish which means
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snakes, and ormar(e) in italian which means cabinet.
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And what's a better name for python ORM than snakes cabinet :)
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"""
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from ormar.protocols import QuerySetProtocol, RelationProtocol # noqa: I001
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from importlib.metadata import version
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from ormar.decorators import ( # noqa: I100
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post_bulk_update,
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post_delete,
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post_relation_add,
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post_relation_remove,
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post_save,
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post_update,
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pre_delete,
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pre_relation_add,
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pre_relation_remove,
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pre_save,
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pre_update,
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)
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from ormar.exceptions import ( # noqa: I100
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ModelDefinitionError,
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MultipleMatches,
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NoMatch,
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)
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from ormar.fields import (
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DECODERS_MAP,
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ENCODERS_MAP,
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JSON,
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SQL_ENCODERS_MAP,
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UUID,
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BaseField,
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BigInteger,
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Boolean,
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CheckColumns,
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Date,
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DateTime,
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Decimal,
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EncryptBackends,
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Enum,
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Float,
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ForeignKey,
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ForeignKeyField,
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IndexColumns,
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Integer,
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LargeBinary,
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ManyToMany,
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ManyToManyField,
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ReferentialAction,
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SmallInteger,
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String,
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Text,
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Time,
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UniqueColumns,
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)
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# noqa: I100
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from ormar.models import ExcludableItems, Extra, Model, OrmarConfig
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from ormar.queryset import OrderAction, QuerySet, and_, or_
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from ormar.relations import RelationType
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from ormar.signals import Signal
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class UndefinedType: # pragma no cover
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def __repr__(self) -> str:
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return "OrmarUndefined"
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Undefined = UndefinedType()
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__version__ = version("ormar")
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__all__ = [
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"Integer",
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"BigInteger",
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"SmallInteger",
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"Boolean",
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"Time",
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"Text",
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"String",
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"JSON",
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"DateTime",
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"Date",
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"Decimal",
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"Enum",
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"Float",
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"ManyToMany",
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"Model",
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"ModelDefinitionError",
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"MultipleMatches",
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"NoMatch",
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"ForeignKey",
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"QuerySet",
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"RelationType",
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"Undefined",
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"UUID",
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"UniqueColumns",
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"IndexColumns",
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"CheckColumns",
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"ReferentialAction",
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"QuerySetProtocol",
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"RelationProtocol",
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"post_bulk_update",
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"post_delete",
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"post_save",
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"post_update",
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"post_relation_add",
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"post_relation_remove",
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"pre_delete",
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"pre_save",
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"pre_update",
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"pre_relation_remove",
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"pre_relation_add",
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"Signal",
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"BaseField",
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"ManyToManyField",
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"ForeignKeyField",
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"OrderAction",
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"ExcludableItems",
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"and_",
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"or_",
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"EncryptBackends",
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"ENCODERS_MAP",
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"SQL_ENCODERS_MAP",
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"DECODERS_MAP",
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"LargeBinary",
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"Extra",
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"OrmarConfig",
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]
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