* 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>
71 lines
2.2 KiB
Markdown
71 lines
2.2 KiB
Markdown
# Internals
|
|
|
|
Apart from special parameters defined in the `Model` during definition (tablename, metadata etc.) the `Model` provides you with useful internals.
|
|
|
|
## Pydantic Model
|
|
|
|
All `Model` classes inherit from `pydantic.BaseModel` so you can access all normal attributes of pydantic models.
|
|
|
|
For example to list pydantic model fields you can:
|
|
|
|
```Python hl_lines="20"
|
|
--8<-- "../docs_src/models/docs003.py"
|
|
```
|
|
|
|
!!!tip
|
|
Note how the primary key `id` field is optional as `Integer` primary key by default has `autoincrement` set to `True`.
|
|
|
|
!!!info
|
|
For more options visit official [pydantic][pydantic] documentation.
|
|
|
|
## Sqlalchemy Table
|
|
|
|
To access auto created sqlalchemy table you can use `Model.ormar_config.table` parameter
|
|
|
|
For example to list table columns you can:
|
|
|
|
```Python hl_lines="24"
|
|
--8<-- "../docs_src/models/docs004.py"
|
|
```
|
|
|
|
!!!tip
|
|
You can access table primary key name by `Course.ormar_config.pkname`
|
|
|
|
!!!info
|
|
For more options visit official [sqlalchemy-metadata][sqlalchemy-metadata] documentation.
|
|
|
|
## Fields Definition
|
|
|
|
To access ormar `Fields` you can use `Model.ormar_config.model_fields` parameter
|
|
|
|
For example to list table model fields you can:
|
|
|
|
```Python hl_lines="22"
|
|
--8<-- "../docs_src/models/docs005.py"
|
|
```
|
|
|
|
!!!info
|
|
Note that fields stored on a model are `classes` not `instances`.
|
|
|
|
So if you print just model fields you will get:
|
|
|
|
`{'id': <class 'ormar.fields.model_fields.Integer'>, `
|
|
|
|
`'name': <class 'ormar.fields.model_fields.String'>, `
|
|
|
|
`'completed': <class 'ormar.fields.model_fields.Boolean'>}`
|
|
|
|
|
|
[fields]: ./fields.md
|
|
[relations]: ./relations/index.md
|
|
[queries]: ./queries.md
|
|
[pydantic]: https://pydantic-docs.helpmanual.io/
|
|
[sqlalchemy-core]: https://docs.sqlalchemy.org/en/latest/core/
|
|
[sqlalchemy-metadata]: https://docs.sqlalchemy.org/en/13/core/metadata.html
|
|
[databases]: https://github.com/encode/databases
|
|
[sqlalchemy connection string]: https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls
|
|
[sqlalchemy table creation]: https://docs.sqlalchemy.org/en/13/core/metadata.html#creating-and-dropping-database-tables
|
|
[alembic]: https://alembic.sqlalchemy.org/en/latest/tutorial.html
|
|
[save status]: ../models/#model-save-status
|
|
[Internals]: #internals
|