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import types
from contextlib import contextmanager
from contextvars import ContextVar
from dataclasses import dataclass
from typing import (
TYPE_CHECKING,
AbstractSet,
Any,
Callable,
Dict,
ForwardRef,
Generator,
Mapping,
Optional,
Set,
Type,
TypeVar,
Union,
)
from pydantic import VERSION as PYDANTIC_VERSION
from pydantic import BaseModel
from pydantic.fields import FieldInfo
from typing_extensions import get_args, get_origin
IS_PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
if TYPE_CHECKING:
from .main import RelationshipInfo, SQLModel
UnionType = getattr(types, "UnionType", Union)
NoneType = type(None)
T = TypeVar("T")
InstanceOrType = Union[T, Type[T]]
_TSQLModel = TypeVar("_TSQLModel", bound="SQLModel")
class FakeMetadata:
max_length: Optional[int] = None
max_digits: Optional[int] = None
decimal_places: Optional[int] = None
@dataclass
class ObjectWithUpdateWrapper:
obj: Any
update: Dict[str, Any]
def __getattribute__(self, __name: str) -> Any:
update = super().__getattribute__("update")
obj = super().__getattribute__("obj")
if __name in update:
return update[__name]
return getattr(obj, __name)
def _is_union_type(t: Any) -> bool:
return t is UnionType or t is Union
finish_init: ContextVar[bool] = ContextVar("finish_init", default=True)
@contextmanager
def partial_init() -> Generator[None, None, None]:
token = finish_init.set(False)
yield
finish_init.reset(token)
if IS_PYDANTIC_V2:
from pydantic import ConfigDict as BaseConfig
from pydantic._internal._fields import PydanticMetadata
from pydantic._internal._model_construction import ModelMetaclass
from pydantic._internal._repr import Representation as Representation
from pydantic_core import PydanticUndefined as Undefined
from pydantic_core import PydanticUndefinedType as UndefinedType
# Dummy for types, to make it importable
class ModelField:
pass
class SQLModelConfig(BaseConfig, total=False):
table: Optional[bool]
registry: Optional[Any]
def get_config_value(
*, model: InstanceOrType["SQLModel"], parameter: str, default: Any = None
) -> Any:
return model.model_config.get(parameter, default)
def set_config_value(
*,
model: InstanceOrType["SQLModel"],
parameter: str,
value: Any,
) -> None:
model.model_config[parameter] = value # type: ignore[literal-required]
def get_model_fields(model: InstanceOrType[BaseModel]) -> Dict[str, "FieldInfo"]:
return model.model_fields
def get_fields_set(
object: InstanceOrType["SQLModel"],
) -> Union[Set[str], Callable[[BaseModel], Set[str]]]:
return object.model_fields_set
def init_pydantic_private_attrs(new_object: InstanceOrType["SQLModel"]) -> None:
object.__setattr__(new_object, "__pydantic_fields_set__", set())
object.__setattr__(new_object, "__pydantic_extra__", None)
object.__setattr__(new_object, "__pydantic_private__", None)
def get_annotations(class_dict: Dict[str, Any]) -> Dict[str, Any]:
return class_dict.get("__annotations__", {})
def is_table_model_class(cls: Type[Any]) -> bool:
config = getattr(cls, "model_config", {})
if config:
return config.get("table", False) or False
return False
def get_relationship_to(
name: str,
rel_info: "RelationshipInfo",
annotation: Any,
) -> Any:
origin = get_origin(annotation)
use_annotation = annotation
# Direct relationships (e.g. 'Team' or Team) have None as an origin
if origin is None:
if isinstance(use_annotation, ForwardRef):
use_annotation = use_annotation.__forward_arg__
else:
return use_annotation
# If Union (e.g. Optional), get the real field
elif _is_union_type(origin):
use_annotation = get_args(annotation)
if len(use_annotation) > 2:
raise ValueError(
"Cannot have a (non-optional) union as a SQLAlchemy field"
)
arg1, arg2 = use_annotation
if arg1 is NoneType and arg2 is not NoneType:
use_annotation = arg2
elif arg2 is NoneType and arg1 is not NoneType:
use_annotation = arg1
else:
raise ValueError(
"Cannot have a Union of None and None as a SQLAlchemy field"
)
# If a list, then also get the real field
elif origin is list:
use_annotation = get_args(annotation)[0]
return get_relationship_to(
name=name, rel_info=rel_info, annotation=use_annotation
)
def is_field_noneable(field: "FieldInfo") -> bool:
if getattr(field, "nullable", Undefined) is not Undefined:
return field.nullable # type: ignore
origin = get_origin(field.annotation)
if origin is not None and _is_union_type(origin):
args = get_args(field.annotation)
if any(arg is NoneType for arg in args):
return True
if not field.is_required():
if field.default is Undefined:
return False
if field.annotation is None or field.annotation is NoneType: # type: ignore[comparison-overlap]
return True
return False
return False
def get_type_from_field(field: Any) -> Any:
type_: Any = field.annotation
# Resolve Optional fields
if type_ is None:
raise ValueError("Missing field type")
origin = get_origin(type_)
if origin is None:
return type_
if _is_union_type(origin):
bases = get_args(type_)
if len(bases) > 2:
raise ValueError(
"Cannot have a (non-optional) union as a SQLAlchemy field"
)
# Non optional unions are not allowed
if bases[0] is not NoneType and bases[1] is not NoneType:
raise ValueError(
"Cannot have a (non-optional) union as a SQLlchemy field"
)
# Optional unions are allowed
return bases[0] if bases[0] is not NoneType else bases[1]
return origin
def get_field_metadata(field: Any) -> Any:
for meta in field.metadata:
if isinstance(meta, PydanticMetadata):
return meta
return FakeMetadata()
def post_init_field_info(field_info: FieldInfo) -> None:
return None
# Dummy to make it importable
def _calculate_keys(
self: "SQLModel",
include: Optional[Mapping[Union[int, str], Any]],
exclude: Optional[Mapping[Union[int, str], Any]],
exclude_unset: bool,
update: Optional[Dict[str, Any]] = None,
) -> Optional[AbstractSet[str]]: # pragma: no cover
return None
def sqlmodel_table_construct(
*,
self_instance: _TSQLModel,
values: Dict[str, Any],
_fields_set: Union[Set[str], None] = None,
) -> _TSQLModel:
# Copy from Pydantic's BaseModel.construct()
# Ref: https://github.com/pydantic/pydantic/blob/v2.5.2/pydantic/main.py#L198
# Modified to not include everything, only the model fields, and to
# set relationships
# SQLModel override to get class SQLAlchemy __dict__ attributes and
# set them back in after creating the object
# new_obj = cls.__new__(cls)
cls = type(self_instance)
old_dict = self_instance.__dict__.copy()
# End SQLModel override
fields_values: Dict[str, Any] = {}
defaults: Dict[
str, Any
] = {} # keeping this separate from `fields_values` helps us compute `_fields_set`
for name, field in cls.model_fields.items():
if field.alias and field.alias in values:
fields_values[name] = values.pop(field.alias)
elif name in values:
fields_values[name] = values.pop(name)
elif not field.is_required():
defaults[name] = field.get_default(call_default_factory=True)
if _fields_set is None:
_fields_set = set(fields_values.keys())
fields_values.update(defaults)
_extra: Union[Dict[str, Any], None] = None
if cls.model_config.get("extra") == "allow":
_extra = {}
for k, v in values.items():
_extra[k] = v
# SQLModel override, do not include everything, only the model fields
# else:
# fields_values.update(values)
# End SQLModel override
# SQLModel override
# Do not set __dict__, instead use setattr to trigger SQLAlchemy
# object.__setattr__(new_obj, "__dict__", fields_values)
# instrumentation
for key, value in {**old_dict, **fields_values}.items():
setattr(self_instance, key, value)
# End SQLModel override
object.__setattr__(self_instance, "__pydantic_fields_set__", _fields_set)
if not cls.__pydantic_root_model__:
object.__setattr__(self_instance, "__pydantic_extra__", _extra)
if cls.__pydantic_post_init__:
self_instance.model_post_init(None)
elif not cls.__pydantic_root_model__:
# Note: if there are any private attributes, cls.__pydantic_post_init__ would exist
# Since it doesn't, that means that `__pydantic_private__` should be set to None
object.__setattr__(self_instance, "__pydantic_private__", None)
# SQLModel override, set relationships
# Get and set any relationship objects
for key in self_instance.__sqlmodel_relationships__:
value = values.get(key, Undefined)
if value is not Undefined:
setattr(self_instance, key, value)
# End SQLModel override
return self_instance
def sqlmodel_validate(
cls: Type[_TSQLModel],
obj: Any,
*,
strict: Union[bool, None] = None,
from_attributes: Union[bool, None] = None,
context: Union[Dict[str, Any], None] = None,
update: Union[Dict[str, Any], None] = None,
) -> _TSQLModel:
if not is_table_model_class(cls):
new_obj: _TSQLModel = cls.__new__(cls)
else:
# If table, create the new instance normally to make SQLAlchemy create
# the _sa_instance_state attribute
# The wrapper of this function should use with _partial_init()
with partial_init():
new_obj = cls()
# SQLModel Override to get class SQLAlchemy __dict__ attributes and
# set them back in after creating the object
old_dict = new_obj.__dict__.copy()
use_obj = obj
if isinstance(obj, dict) and update:
use_obj = {**obj, **update}
elif update:
use_obj = ObjectWithUpdateWrapper(obj=obj, update=update)
cls.__pydantic_validator__.validate_python(
use_obj,
strict=strict,
from_attributes=from_attributes,
context=context,
self_instance=new_obj,
)
# Capture fields set to restore it later
fields_set = new_obj.__pydantic_fields_set__.copy()
if not is_table_model_class(cls):
# If not table, normal Pydantic code, set __dict__
new_obj.__dict__ = {**old_dict, **new_obj.__dict__}
else:
# Do not set __dict__, instead use setattr to trigger SQLAlchemy
# instrumentation
for key, value in {**old_dict, **new_obj.__dict__}.items():
setattr(new_obj, key, value)
# Restore fields set
object.__setattr__(new_obj, "__pydantic_fields_set__", fields_set)
# Get and set any relationship objects
if is_table_model_class(cls):
for key in new_obj.__sqlmodel_relationships__:
value = getattr(use_obj, key, Undefined)
if value is not Undefined:
setattr(new_obj, key, value)
return new_obj
def sqlmodel_init(*, self: "SQLModel", data: Dict[str, Any]) -> None:
old_dict = self.__dict__.copy()
if not is_table_model_class(self.__class__):
self.__pydantic_validator__.validate_python(
data,
self_instance=self,
)
else:
sqlmodel_table_construct(
self_instance=self,
values=data,
)
object.__setattr__(
self,
"__dict__",
{**old_dict, **self.__dict__},
)
else:
from pydantic import BaseConfig as BaseConfig # type: ignore[assignment]
from pydantic.errors import ConfigError
from pydantic.fields import ( # type: ignore[attr-defined, no-redef]
SHAPE_SINGLETON,
ModelField,
)
from pydantic.fields import ( # type: ignore[attr-defined, no-redef]
Undefined as Undefined, # noqa
)
from pydantic.fields import ( # type: ignore[attr-defined, no-redef]
UndefinedType as UndefinedType,
)
from pydantic.main import ( # type: ignore[no-redef]
ModelMetaclass as ModelMetaclass,
)
from pydantic.main import validate_model
from pydantic.typing import resolve_annotations
from pydantic.utils import ROOT_KEY, ValueItems
from pydantic.utils import ( # type: ignore[no-redef]
Representation as Representation,
)
class SQLModelConfig(BaseConfig): # type: ignore[no-redef]
table: Optional[bool] = None # type: ignore[misc]
registry: Optional[Any] = None # type: ignore[misc]
def get_config_value(
*, model: InstanceOrType["SQLModel"], parameter: str, default: Any = None
) -> Any:
return getattr(model.__config__, parameter, default) # type: ignore[union-attr]
def set_config_value(
*,
model: InstanceOrType["SQLModel"],
parameter: str,
value: Any,
) -> None:
setattr(model.__config__, parameter, value) # type: ignore
def get_model_fields(model: InstanceOrType[BaseModel]) -> Dict[str, "FieldInfo"]:
return model.__fields__ # type: ignore
def get_fields_set(
object: InstanceOrType["SQLModel"],
) -> Union[Set[str], Callable[[BaseModel], Set[str]]]:
return object.__fields_set__
def init_pydantic_private_attrs(new_object: InstanceOrType["SQLModel"]) -> None:
object.__setattr__(new_object, "__fields_set__", set())
def get_annotations(class_dict: Dict[str, Any]) -> Dict[str, Any]:
return resolve_annotations( # type: ignore[no-any-return]
class_dict.get("__annotations__", {}),
class_dict.get("__module__", None),
)
def is_table_model_class(cls: Type[Any]) -> bool:
config = getattr(cls, "__config__", None)
if config:
return getattr(config, "table", False)
return False
def get_relationship_to(
name: str,
rel_info: "RelationshipInfo",
annotation: Any,
) -> Any:
temp_field = ModelField.infer( # type: ignore[attr-defined]
name=name,
value=rel_info,
annotation=annotation,
class_validators=None,
config=SQLModelConfig,
)
relationship_to = temp_field.type_
if isinstance(temp_field.type_, ForwardRef):
relationship_to = temp_field.type_.__forward_arg__
return relationship_to
def is_field_noneable(field: "FieldInfo") -> bool:
if not field.required: # type: ignore[attr-defined]
# Taken from [Pydantic](https://github.com/samuelcolvin/pydantic/blob/v1.8.2/pydantic/fields.py#L946-L947)
return field.allow_none and ( # type: ignore[attr-defined]
field.shape != SHAPE_SINGLETON or not field.sub_fields # type: ignore[attr-defined]
)
return field.allow_none # type: ignore[no-any-return, attr-defined]
def get_type_from_field(field: Any) -> Any:
if isinstance(field.type_, type) and field.shape == SHAPE_SINGLETON:
return field.type_
raise ValueError(f"The field {field.name} has no matching SQLAlchemy type")
def get_field_metadata(field: Any) -> Any:
metadata = FakeMetadata()
metadata.max_length = field.field_info.max_length
metadata.max_digits = getattr(field.type_, "max_digits", None)
metadata.decimal_places = getattr(field.type_, "decimal_places", None)
return metadata
def post_init_field_info(field_info: FieldInfo) -> None:
field_info._validate() # type: ignore[attr-defined]
def _calculate_keys(
self: "SQLModel",
include: Optional[Mapping[Union[int, str], Any]],
exclude: Optional[Mapping[Union[int, str], Any]],
exclude_unset: bool,
update: Optional[Dict[str, Any]] = None,
) -> Optional[AbstractSet[str]]:
if include is None and exclude is None and not exclude_unset:
# Original in Pydantic:
# return None
# Updated to not return SQLAlchemy attributes
# Do not include relationships as that would easily lead to infinite
# recursion, or traversing the whole database
return (
self.__fields__.keys() # noqa
) # | self.__sqlmodel_relationships__.keys()
keys: AbstractSet[str]
if exclude_unset:
keys = self.__fields_set__.copy() # noqa
else:
# Original in Pydantic:
# keys = self.__dict__.keys()
# Updated to not return SQLAlchemy attributes
# Do not include relationships as that would easily lead to infinite
# recursion, or traversing the whole database
keys = (
self.__fields__.keys() # noqa
) # | self.__sqlmodel_relationships__.keys()
if include is not None:
keys &= include.keys()
if update:
keys -= update.keys()
if exclude:
keys -= {k for k, v in exclude.items() if ValueItems.is_true(v)}
return keys
def sqlmodel_validate(
cls: Type[_TSQLModel],
obj: Any,
*,
strict: Union[bool, None] = None,
from_attributes: Union[bool, None] = None,
context: Union[Dict[str, Any], None] = None,
update: Union[Dict[str, Any], None] = None,
) -> _TSQLModel:
# This was SQLModel's original from_orm() for Pydantic v1
# Duplicated from Pydantic
if not cls.__config__.orm_mode: # type: ignore[attr-defined] # noqa
raise ConfigError(
"You must have the config attribute orm_mode=True to use from_orm"
)
if not isinstance(obj, Mapping):
obj = (
{ROOT_KEY: obj}
if cls.__custom_root_type__ # type: ignore[attr-defined] # noqa
else cls._decompose_class(obj) # type: ignore[attr-defined] # noqa
)
# SQLModel, support update dict
if update is not None:
obj = {**obj, **update}
# End SQLModel support dict
if not getattr(cls.__config__, "table", False): # noqa
# If not table, normal Pydantic code
m: _TSQLModel = cls.__new__(cls)
else:
# If table, create the new instance normally to make SQLAlchemy create
# the _sa_instance_state attribute
m = cls()
values, fields_set, validation_error = validate_model(cls, obj)
if validation_error:
raise validation_error
# Updated to trigger SQLAlchemy internal handling
if not getattr(cls.__config__, "table", False): # noqa
object.__setattr__(m, "__dict__", values)
else:
for key, value in values.items():
setattr(m, key, value)
# Continue with standard Pydantic logic
object.__setattr__(m, "__fields_set__", fields_set)
m._init_private_attributes() # type: ignore[attr-defined] # noqa
return m
def sqlmodel_init(*, self: "SQLModel", data: Dict[str, Any]) -> None:
values, fields_set, validation_error = validate_model(self.__class__, data)
# Only raise errors if not a SQLModel model
if (
not is_table_model_class(self.__class__) # noqa
and validation_error
):
raise validation_error
if not is_table_model_class(self.__class__):
object.__setattr__(self, "__dict__", values)
else:
# Do not set values as in Pydantic, pass them through setattr, so
# SQLAlchemy can handle them
for key, value in values.items():
setattr(self, key, value)
object.__setattr__(self, "__fields_set__", fields_set)
non_pydantic_keys = data.keys() - values.keys()
if is_table_model_class(self.__class__):
for key in non_pydantic_keys:
if key in self.__sqlmodel_relationships__:
setattr(self, key, data[key])