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fix multiple pkonly models with same name in openapi schema

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This commit is contained in:
collerek
2021-02-17 18:19:48 +01:00
parent edafbc20fc
commit dedc90329c
5 changed files with 163 additions and 80 deletions
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154
ormar/models/metaclass.py
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@ -46,6 +46,7 @@ if TYPE_CHECKING: # pragma no cover
from ormar import Model
CONFIG_KEY = "Config"
PARSED_FIELDS_KEY = "__parsed_fields__"
class ModelMeta:
@ -141,83 +142,6 @@ def register_signals(new_model: Type["Model"]) -> None: # noqa: CCR001
new_model.Meta.signals = signals
class ModelMetaclass(pydantic.main.ModelMetaclass):
def __new__( # type: ignore # noqa: CCR001
mcs: "ModelMetaclass", name: str, bases: Any, attrs: dict
) -> "ModelMetaclass":
"""
Metaclass used by ormar Models that performs configuration
and build of ormar Models.
Sets pydantic configuration.
Extract model_fields and convert them to pydantic FieldInfo,
updates class namespace.
Extracts settings and fields from parent classes.
Fetches methods decorated with @property_field decorator
to expose them later in dict().
Construct parent pydantic Metaclass/ Model.
If class has Meta class declared (so actual ormar Models) it also:
* populate sqlalchemy columns, pkname and tables from model_fields
* register reverse relationships on related models
* registers all relations in alias manager that populates table_prefixes
* exposes alias manager on each Model
* creates QuerySet for each model and exposes it on a class
:param name: name of current class
:type name: str
:param bases: base classes
:type bases: Tuple
:param attrs: class namespace
:type attrs: Dict
"""
attrs["Config"] = get_pydantic_base_orm_config()
attrs["__name__"] = name
attrs, model_fields = extract_annotations_and_default_vals(attrs)
for base in reversed(bases):
mod = base.__module__
if mod.startswith("ormar.models.") or mod.startswith("pydantic."):
continue
attrs, model_fields = extract_from_parents_definition(
base_class=base, curr_class=mcs, attrs=attrs, model_fields=model_fields
)
new_model = super().__new__( # type: ignore
mcs, name, bases, attrs
)
add_cached_properties(new_model)
if hasattr(new_model, "Meta"):
populate_default_options_values(new_model, model_fields)
check_required_meta_parameters(new_model)
add_property_fields(new_model, attrs)
register_signals(new_model=new_model)
populate_choices_validators(new_model)
if not new_model.Meta.abstract:
new_model = populate_meta_tablename_columns_and_pk(name, new_model)
populate_meta_sqlalchemy_table_if_required(new_model.Meta)
expand_reverse_relationships(new_model)
for field in new_model.Meta.model_fields.values():
register_relation_in_alias_manager(field=field)
if new_model.Meta.pkname not in attrs["__annotations__"]:
field_name = new_model.Meta.pkname
attrs["__annotations__"][field_name] = Optional[int] # type: ignore
attrs[field_name] = None
new_model.__fields__[field_name] = get_pydantic_field(
field_name=field_name, model=new_model
)
new_model.Meta.alias_manager = alias_manager
new_model.objects = QuerySet(new_model)
return new_model
def verify_constraint_names(
base_class: "Model", model_fields: Dict, parent_value: List
) -> None:
@ -539,4 +463,78 @@ def update_attrs_and_fields(
return updated_model_fields
PARSED_FIELDS_KEY = "__parsed_fields__"
class ModelMetaclass(pydantic.main.ModelMetaclass):
def __new__( # type: ignore # noqa: CCR001
mcs: "ModelMetaclass", name: str, bases: Any, attrs: dict
) -> "ModelMetaclass":
"""
Metaclass used by ormar Models that performs configuration
and build of ormar Models.
Sets pydantic configuration.
Extract model_fields and convert them to pydantic FieldInfo,
updates class namespace.
Extracts settings and fields from parent classes.
Fetches methods decorated with @property_field decorator
to expose them later in dict().
Construct parent pydantic Metaclass/ Model.
If class has Meta class declared (so actual ormar Models) it also:
* populate sqlalchemy columns, pkname and tables from model_fields
* register reverse relationships on related models
* registers all relations in alias manager that populates table_prefixes
* exposes alias manager on each Model
* creates QuerySet for each model and exposes it on a class
:param name: name of current class
:type name: str
:param bases: base classes
:type bases: Tuple
:param attrs: class namespace
:type attrs: Dict
"""
attrs["Config"] = get_pydantic_base_orm_config()
attrs["__name__"] = name
attrs, model_fields = extract_annotations_and_default_vals(attrs)
for base in reversed(bases):
mod = base.__module__
if mod.startswith("ormar.models.") or mod.startswith("pydantic."):
continue
attrs, model_fields = extract_from_parents_definition(
base_class=base, curr_class=mcs, attrs=attrs, model_fields=model_fields
)
new_model = super().__new__( # type: ignore
mcs, name, bases, attrs
)
add_cached_properties(new_model)
if hasattr(new_model, "Meta"):
populate_default_options_values(new_model, model_fields)
check_required_meta_parameters(new_model)
add_property_fields(new_model, attrs)
register_signals(new_model=new_model)
populate_choices_validators(new_model)
if not new_model.Meta.abstract:
new_model = populate_meta_tablename_columns_and_pk(name, new_model)
populate_meta_sqlalchemy_table_if_required(new_model.Meta)
expand_reverse_relationships(new_model)
for field in new_model.Meta.model_fields.values():
register_relation_in_alias_manager(field=field)
if new_model.Meta.pkname not in attrs["__annotations__"]:
field_name = new_model.Meta.pkname
attrs["__annotations__"][field_name] = Optional[int] # type: ignore
attrs[field_name] = None
new_model.__fields__[field_name] = get_pydantic_field(
field_name=field_name, model=new_model
)
new_model.Meta.alias_manager = alias_manager
new_model.objects = QuerySet(new_model)
return new_model