sqlmodel/sqlmodel/main.py at patch-1 · bubbletroubles/sqlmodel · GitHub

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import ipaddress

import uuid

import weakref

from datetime import date, datetime, time, timedelta

from decimal import Decimal

from enum import Enum

from pathlib import Path

from typing import (

TYPE_CHECKING,

AbstractSet,

Any,

Callable,

ClassVar,

Dict,

List,

Mapping,

Optional,

Sequence,

Set,

Tuple,

Type,

TypeVar,

Union,

cast,

overload,

)

from pydantic import BaseModel, EmailStr

from pydantic.fields import FieldInfo as PydanticFieldInfo

from sqlalchemy import (

Boolean,

Column,

Date,

DateTime,

Float,

ForeignKey,

Integer,

Interval,

Numeric,

inspect,

)

from sqlalchemy import Enum as sa_Enum

from sqlalchemy.orm import (

Mapped,

RelationshipProperty,

declared_attr,

registry,

relationship,

)

from sqlalchemy.orm.attributes import set_attribute

from sqlalchemy.orm.decl_api import DeclarativeMeta

from sqlalchemy.orm.instrumentation import is_instrumented

from sqlalchemy.sql.schema import MetaData

from sqlalchemy.sql.sqltypes import LargeBinary, Time, Uuid

from typing_extensions import Literal, TypeAlias, deprecated, get_origin

from ._compat import ( # type: ignore[attr-defined]

IS_PYDANTIC_V2,

PYDANTIC_VERSION,

BaseConfig,

ModelField,

ModelMetaclass,

Representation,

SQLModelConfig,

Undefined,

UndefinedType,

_calculate_keys,

finish_init,

get_annotations,

get_config_value,

get_field_metadata,

get_model_fields,

get_relationship_to,

get_sa_type_from_field,

init_pydantic_private_attrs,

is_field_noneable,

is_table_model_class,

post_init_field_info,

set_config_value,

sqlmodel_init,

sqlmodel_validate,

)

from .sql.sqltypes import AutoString

if TYPE_CHECKING:

from pydantic._internal._model_construction import ModelMetaclass as ModelMetaclass

from pydantic._internal._repr import Representation as Representation

from pydantic_core import PydanticUndefined as Undefined

from pydantic_core import PydanticUndefinedType as UndefinedType

_T = TypeVar("_T")

NoArgAnyCallable = Callable[[], Any]

IncEx: TypeAlias = Union[

Set[int],

Set[str],

Mapping[int, Union["IncEx", Literal[True]]],

Mapping[str, Union["IncEx", Literal[True]]],

]

OnDeleteType = Literal["CASCADE", "SET NULL", "RESTRICT"]

def __dataclass_transform__(

eq_default: bool = True,

order_default: bool = False,

kw_only_default: bool = False,

field_descriptors: Tuple[Union[type, Callable[..., Any]], ...] = (()),

) -> Callable[[_T], _T]:

return lambda a: a

class FieldInfo(PydanticFieldInfo):

def __init__(self, default: Any = Undefined, **kwargs: Any) -> None:

primary_key = kwargs.pop("primary_key", False)

nullable = kwargs.pop("nullable", Undefined)

foreign_key = kwargs.pop("foreign_key", Undefined)

ondelete = kwargs.pop("ondelete", Undefined)

unique = kwargs.pop("unique", False)

index = kwargs.pop("index", Undefined)

sa_type = kwargs.pop("sa_type", Undefined)

sa_column = kwargs.pop("sa_column", Undefined)

sa_column_args = kwargs.pop("sa_column_args", Undefined)

sa_column_kwargs = kwargs.pop("sa_column_kwargs", Undefined)

if sa_column is not Undefined:

if sa_column_args is not Undefined:

raise RuntimeError(

"Passing sa_column_args is not supported when "

"also passing a sa_column"

)

if sa_column_kwargs is not Undefined:

raise RuntimeError(

"Passing sa_column_kwargs is not supported when "

"also passing a sa_column"

)

if primary_key is not Undefined:

raise RuntimeError(

"Passing primary_key is not supported when "

"also passing a sa_column"

)

if nullable is not Undefined:

raise RuntimeError(

"Passing nullable is not supported when also passing a sa_column"

)

if foreign_key is not Undefined:

raise RuntimeError(

"Passing foreign_key is not supported when "

"also passing a sa_column"

)

if ondelete is not Undefined:

raise RuntimeError(

"Passing ondelete is not supported when also passing a sa_column"

)

if unique is not Undefined:

raise RuntimeError(

"Passing unique is not supported when also passing a sa_column"

)

if index is not Undefined:

raise RuntimeError(

"Passing index is not supported when also passing a sa_column"

)

if sa_type is not Undefined:

raise RuntimeError(

"Passing sa_type is not supported when also passing a sa_column"

)

if ondelete is not Undefined:

if foreign_key is Undefined:

raise RuntimeError("ondelete can only be used with foreign_key")

super().__init__(default=default, **kwargs)

self.primary_key = primary_key

self.nullable = nullable

self.foreign_key = foreign_key

self.ondelete = ondelete

self.unique = unique

self.index = index

self.sa_type = sa_type

self.sa_column = sa_column

self.sa_column_args = sa_column_args

self.sa_column_kwargs = sa_column_kwargs

class RelationshipInfo(Representation):

def __init__(

self,

back_populates: Optional[str] = None,

cascade_delete: Optional[bool] = False,

passive_deletes: Optional[Union[bool, Literal["all"]]] = False,

link_model: Optional[Any] = None,

sa_relationship: Optional[RelationshipProperty] = None, # type: ignore

sa_relationship_args: Optional[Sequence[Any]] = None,

sa_relationship_kwargs: Optional[Mapping[str, Any]] = None,

) -> None:

if sa_relationship is not None:

if sa_relationship_args is not None:

raise RuntimeError(

"Passing sa_relationship_args is not supported when "

"also passing a sa_relationship"

)

if sa_relationship_kwargs is not None:

raise RuntimeError(

"Passing sa_relationship_kwargs is not supported when "

"also passing a sa_relationship"

)

self.back_populates = back_populates

self.cascade_delete = cascade_delete

self.passive_deletes = passive_deletes

self.link_model = link_model

self.sa_relationship = sa_relationship

self.sa_relationship_args = sa_relationship_args

self.sa_relationship_kwargs = sa_relationship_kwargs

# include sa_type, sa_column_args, sa_column_kwargs

@overload

def Field(

default: Any = Undefined,

default_factory: Optional[NoArgAnyCallable] = None,

alias: Optional[str] = None,

title: Optional[str] = None,

description: Optional[str] = None,

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

include: Union[

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

const: Optional[bool] = None,

gt: Optional[float] = None,

ge: Optional[float] = None,

lt: Optional[float] = None,

le: Optional[float] = None,

multiple_of: Optional[float] = None,

max_digits: Optional[int] = None,

decimal_places: Optional[int] = None,

min_items: Optional[int] = None,

max_items: Optional[int] = None,

unique_items: Optional[bool] = None,

min_length: Optional[int] = None,

max_length: Optional[int] = None,

allow_mutation: bool = True,

regex: Optional[str] = None,

discriminator: Optional[str] = None,

repr: bool = True,

primary_key: Union[bool, UndefinedType] = Undefined,

foreign_key: Any = Undefined,

unique: Union[bool, UndefinedType] = Undefined,

nullable: Union[bool, UndefinedType] = Undefined,

index: Union[bool, UndefinedType] = Undefined,

sa_type: Union[Type[Any], UndefinedType] = Undefined,

sa_column_args: Union[Sequence[Any], UndefinedType] = Undefined,

sa_column_kwargs: Union[Mapping[str, Any], UndefinedType] = Undefined,

schema_extra: Optional[Dict[str, Any]] = None,

) -> Any: ...

# When foreign_key is str, include ondelete

# include sa_type, sa_column_args, sa_column_kwargs

@overload

def Field(

default: Any = Undefined,

default_factory: Optional[NoArgAnyCallable] = None,

alias: Optional[str] = None,

title: Optional[str] = None,

description: Optional[str] = None,

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

include: Union[

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

const: Optional[bool] = None,

gt: Optional[float] = None,

ge: Optional[float] = None,

lt: Optional[float] = None,

le: Optional[float] = None,

multiple_of: Optional[float] = None,

max_digits: Optional[int] = None,

decimal_places: Optional[int] = None,

min_items: Optional[int] = None,

max_items: Optional[int] = None,

unique_items: Optional[bool] = None,

min_length: Optional[int] = None,

max_length: Optional[int] = None,

allow_mutation: bool = True,

regex: Optional[str] = None,

discriminator: Optional[str] = None,

repr: bool = True,

primary_key: Union[bool, UndefinedType] = Undefined,

foreign_key: str,

ondelete: Union[OnDeleteType, UndefinedType] = Undefined,

unique: Union[bool, UndefinedType] = Undefined,

nullable: Union[bool, UndefinedType] = Undefined,

index: Union[bool, UndefinedType] = Undefined,

sa_type: Union[Type[Any], UndefinedType] = Undefined,

sa_column_args: Union[Sequence[Any], UndefinedType] = Undefined,

sa_column_kwargs: Union[Mapping[str, Any], UndefinedType] = Undefined,

schema_extra: Optional[Dict[str, Any]] = None,

) -> Any: ...

# Include sa_column, don't include

# primary_key

# foreign_key

# ondelete

# unique

# nullable

# index

# sa_type

# sa_column_args

# sa_column_kwargs

@overload

def Field(

default: Any = Undefined,

default_factory: Optional[NoArgAnyCallable] = None,

alias: Optional[str] = None,

title: Optional[str] = None,

description: Optional[str] = None,

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

include: Union[

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

const: Optional[bool] = None,

gt: Optional[float] = None,

ge: Optional[float] = None,

lt: Optional[float] = None,

le: Optional[float] = None,

multiple_of: Optional[float] = None,

max_digits: Optional[int] = None,

decimal_places: Optional[int] = None,

min_items: Optional[int] = None,

max_items: Optional[int] = None,

unique_items: Optional[bool] = None,

min_length: Optional[int] = None,

max_length: Optional[int] = None,

allow_mutation: bool = True,

regex: Optional[str] = None,

discriminator: Optional[str] = None,

repr: bool = True,

sa_column: Union[Column, UndefinedType] = Undefined, # type: ignore

schema_extra: Optional[Dict[str, Any]] = None,

) -> Any: ...

def Field(

default: Any = Undefined,

default_factory: Optional[NoArgAnyCallable] = None,

alias: Optional[str] = None,

title: Optional[str] = None,

description: Optional[str] = None,

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

include: Union[

AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any

] = None,

const: Optional[bool] = None,

gt: Optional[float] = None,

ge: Optional[float] = None,

lt: Optional[float] = None,

le: Optional[float] = None,

multiple_of: Optional[float] = None,

max_digits: Optional[int] = None,

decimal_places: Optional[int] = None,

min_items: Optional[int] = None,

max_items: Optional[int] = None,

unique_items: Optional[bool] = None,

min_length: Optional[int] = None,

max_length: Optional[int] = None,

allow_mutation: bool = True,

regex: Optional[str] = None,

discriminator: Optional[str] = None,

repr: bool = True,

primary_key: Union[bool, UndefinedType] = Undefined,

foreign_key: Any = Undefined,

ondelete: Union[OnDeleteType, UndefinedType] = Undefined,

unique: Union[bool, UndefinedType] = Undefined,

nullable: Union[bool, UndefinedType] = Undefined,

index: Union[bool, UndefinedType] = Undefined,

sa_type: Union[Type[Any], UndefinedType] = Undefined,

sa_column: Union[Column, UndefinedType] = Undefined, # type: ignore

sa_column_args: Union[Sequence[Any], UndefinedType] = Undefined,

sa_column_kwargs: Union[Mapping[str, Any], UndefinedType] = Undefined,

schema_extra: Optional[Dict[str, Any]] = None,

) -> Any:

current_schema_extra = schema_extra or {}

field_info = FieldInfo(

default,

default_factory=default_factory,

alias=alias,

title=title,

description=description,

exclude=exclude,

include=include,

const=const,

gt=gt,

ge=ge,

lt=lt,

le=le,

multiple_of=multiple_of,

max_digits=max_digits,

decimal_places=decimal_places,

min_items=min_items,

max_items=max_items,

unique_items=unique_items,

min_length=min_length,

max_length=max_length,

allow_mutation=allow_mutation,

regex=regex,

discriminator=discriminator,

repr=repr,

primary_key=primary_key,

foreign_key=foreign_key,

ondelete=ondelete,

unique=unique,

nullable=nullable,

index=index,

sa_type=sa_type,

sa_column=sa_column,

sa_column_args=sa_column_args,

sa_column_kwargs=sa_column_kwargs,

**current_schema_extra,

)

post_init_field_info(field_info)

return field_info

@overload

def Relationship(

back_populates: Optional[str] = None,

cascade_delete: Optional[bool] = False,

passive_deletes: Optional[Union[bool, Literal["all"]]] = False,

link_model: Optional[Any] = None,

sa_relationship_args: Optional[Sequence[Any]] = None,

sa_relationship_kwargs: Optional[Mapping[str, Any]] = None,

) -> Any: ...

@overload

def Relationship(

back_populates: Optional[str] = None,

cascade_delete: Optional[bool] = False,

passive_deletes: Optional[Union[bool, Literal["all"]]] = False,

link_model: Optional[Any] = None,

sa_relationship: Optional[RelationshipProperty[Any]] = None,

) -> Any: ...

def Relationship(

back_populates: Optional[str] = None,

cascade_delete: Optional[bool] = False,

passive_deletes: Optional[Union[bool, Literal["all"]]] = False,

link_model: Optional[Any] = None,

sa_relationship: Optional[RelationshipProperty[Any]] = None,

sa_relationship_args: Optional[Sequence[Any]] = None,

sa_relationship_kwargs: Optional[Mapping[str, Any]] = None,

) -> Any:

relationship_info = RelationshipInfo(

back_populates=back_populates,

cascade_delete=cascade_delete,

passive_deletes=passive_deletes,

link_model=link_model,

sa_relationship=sa_relationship,

sa_relationship_args=sa_relationship_args,

sa_relationship_kwargs=sa_relationship_kwargs,

)

return relationship_info

@__dataclass_transform__(kw_only_default=True, field_descriptors=(Field, FieldInfo))

class SQLModelMetaclass(ModelMetaclass, DeclarativeMeta):

__sqlmodel_relationships__: Dict[str, RelationshipInfo]

model_config: SQLModelConfig

model_fields: Dict[str, FieldInfo]

__config__: Type[SQLModelConfig]

__fields__: Dict[str, ModelField] # type: ignore[assignment]

# Replicate SQLAlchemy

def __setattr__(cls, name: str, value: Any) -> None:

if is_table_model_class(cls):

DeclarativeMeta.__setattr__(cls, name, value)

else:

super().__setattr__(name, value)

def __delattr__(cls, name: str) -> None:

if is_table_model_class(cls):

DeclarativeMeta.__delattr__(cls, name)

else:

super().__delattr__(name)

# From Pydantic

def __new__(

cls,

bases: Tuple[Type[Any], ...],

class_dict: Dict[str, Any],

**kwargs: Any,

) -> Any:

relationships: Dict[str, RelationshipInfo] = {}

dict_for_pydantic = {}

original_annotations = get_annotations(class_dict)

pydantic_annotations = {}

relationship_annotations = {}

for k, v in class_dict.items():

if isinstance(v, RelationshipInfo):

relationships[k] = v

else:

dict_for_pydantic[k] = v

for k, v in original_annotations.items():

if k in relationships:

relationship_annotations[k] = v

else:

pydantic_annotations[k] = v

dict_used = {

**dict_for_pydantic,

"__weakref__": None,

"__sqlmodel_relationships__": relationships,

"__annotations__": pydantic_annotations,

}

# Duplicate logic from Pydantic to filter config kwargs because if they are

# passed directly including the registry Pydantic will pass them over to the

# superclass causing an error

allowed_config_kwargs: Set[str] = {

key

for key in dir(BaseConfig)

if not (

key.startswith("__") and key.endswith("__")

) # skip dunder methods and attributes

}

config_kwargs = {

key: kwargs[key] for key in kwargs.keys() & allowed_config_kwargs

}

new_cls = super().__new__(cls, name, bases, dict_used, **config_kwargs)

new_cls.__annotations__ = {

**relationship_annotations,

**pydantic_annotations,

**new_cls.__annotations__,

}

def get_config(name: str) -> Any:

config_class_value = get_config_value(

model=new_cls, parameter=name, default=Undefined

)

if config_class_value is not Undefined:

return config_class_value

kwarg_value = kwargs.get(name, Undefined)

if kwarg_value is not Undefined:

return kwarg_value

return Undefined

config_table = get_config("table")

if config_table is True:

# If it was passed by kwargs, ensure it's also set in config

set_config_value(model=new_cls, parameter="table", value=config_table)

for k, v in get_model_fields(new_cls).items():

col = get_column_from_field(v)

setattr(new_cls, k, col)

# Set a config flag to tell FastAPI that this should be read with a field

# in orm_mode instead of preemptively converting it to a dict.

# This could be done by reading new_cls.model_config['table'] in FastAPI, but

# that's very specific about SQLModel, so let's have another config that

# other future tools based on Pydantic can use.

set_config_value(

model=new_cls, parameter="read_from_attributes", value=True

)

# For compatibility with older versions

# TODO: remove this in the future

set_config_value(model=new_cls, parameter="read_with_orm_mode", value=True)

config_registry = get_config("registry")

if config_registry is not Undefined:

config_registry = cast(registry, config_registry)

# If it was passed by kwargs, ensure it's also set in config

set_config_value(model=new_cls, parameter="registry", value=config_table)

setattr(new_cls, "_sa_registry", config_registry) # noqa: B010

setattr(new_cls, "metadata", config_registry.metadata) # noqa: B010

setattr(new_cls, "__abstract__", True) # noqa: B010

return new_cls

# Override SQLAlchemy, allow both SQLAlchemy and plain Pydantic models

def __init__(

cls, classname: str, bases: Tuple[type, ...], dict_: Dict[str, Any], **kw: Any

) -> None:

# Only one of the base classes (or the current one) should be a table model

# this allows FastAPI cloning a SQLModel for the response_model without

# trying to create a new SQLAlchemy, for a new table, with the same name, that

# triggers an error

base_is_table = any(is_table_model_class(base) for base in bases)

if is_table_model_class(cls) and not base_is_table:

for rel_name, rel_info in cls.__sqlmodel_relationships__.items():

if rel_info.sa_relationship:

# There's a SQLAlchemy relationship declared, that takes precedence

# over anything else, use that and continue with the next attribute

setattr(cls, rel_name, rel_info.sa_relationship) # Fix #315

continue

raw_ann = cls.__annotations__[rel_name]

origin = get_origin(raw_ann)

if origin is Mapped:

ann = raw_ann.__args__[0]

else:

ann = raw_ann

# Plain forward references, for models not yet defined, are not

# handled well by SQLAlchemy without Mapped, so, wrap the

# annotations in Mapped here

cls.__annotations__[rel_name] = Mapped[ann] # type: ignore[valid-type]

relationship_to = get_relationship_to(

name=rel_name, rel_info=rel_info, annotation=ann

)

rel_kwargs: Dict[str, Any] = {}

if rel_info.back_populates:

rel_kwargs["back_populates"] = rel_info.back_populates

if rel_info.cascade_delete:

rel_kwargs["cascade"] = "all, delete-orphan"

if rel_info.passive_deletes:

rel_kwargs["passive_deletes"] = rel_info.passive_deletes

if rel_info.link_model:

ins = inspect(rel_info.link_model)

local_table = getattr(ins, "local_table") # noqa: B009

if local_table is None:

raise RuntimeError(

"Couldn't find the secondary table for "

f"model {rel_info.link_model}"

)

rel_kwargs["secondary"] = local_table

rel_args: List[Any] = []

if rel_info.sa_relationship_args:

rel_args.extend(rel_info.sa_relationship_args)

if rel_info.sa_relationship_kwargs:

rel_kwargs.update(rel_info.sa_relationship_kwargs)

rel_value = relationship(relationship_to, *rel_args, **rel_kwargs)

setattr(cls, rel_name, rel_value) # Fix #315

# SQLAlchemy no longer uses dict_

# Ref: https://github.com/sqlalchemy/sqlalchemy/commit/428ea01f00a9cc7f85e435018565eb6da7af1b77

# Tag: 1.4.36

DeclarativeMeta.__init__(cls, classname, bases, dict_, **kw)

else:

ModelMetaclass.__init__(cls, classname, bases, dict_, **kw)

def get_sqlalchemy_type(field: Any) -> Any:

if IS_PYDANTIC_V2:

field_info = field

else:

field_info = field.field_info

sa_type = getattr(field_info, "sa_type", Undefined) # noqa: B009

if sa_type is not Undefined:

return sa_type

type_ = get_sa_type_from_field(field)

metadata = get_field_metadata(field)

# Check enums first as an enum can also be a str, needed by Pydantic/FastAPI

if issubclass(type_, Enum):

return sa_Enum(type_)

if issubclass(

type_,

(

str,

ipaddress.IPv4Address,

ipaddress.IPv4Network,

ipaddress.IPv6Address,

ipaddress.IPv6Network,

Path,

EmailStr,

max_length = getattr(metadata, "max_length", None)

if max_length:

return AutoString(length=max_length)

return AutoString

if issubclass(type_, float):

return Float

if issubclass(type_, bool):

return Boolean

if issubclass(type_, int):

return Integer

if issubclass(type_, datetime):

return DateTime

if issubclass(type_, date):

return Date

if issubclass(type_, timedelta):

return Interval

if issubclass(type_, time):

return Time

if issubclass(type_, bytes):

return LargeBinary

if issubclass(type_, Decimal):

return Numeric(

precision=getattr(metadata, "max_digits", None),

scale=getattr(metadata, "decimal_places", None),

)

if issubclass(type_, uuid.UUID):

return Uuid

raise ValueError(f"{type_} has no matching SQLAlchemy type")

def get_column_from_field(field: Any) -> Column: # type: ignore

if IS_PYDANTIC_V2:

field_info = field

else:

field_info = field.field_info

sa_column = getattr(field_info, "sa_column", Undefined)

if isinstance(sa_column, Column):

return sa_column

sa_type = get_sqlalchemy_type(field)

primary_key = getattr(field_info, "primary_key", Undefined)

if primary_key is Undefined:

primary_key = False

index = getattr(field_info, "index", Undefined)

if index is Undefined:

index = False

nullable = not primary_key and is_field_noneable(field)

# Override derived nullability if the nullable property is set explicitly

# on the field

field_nullable = getattr(field_info, "nullable", Undefined) # noqa: B009

if field_nullable is not Undefined:

assert not isinstance(field_nullable, UndefinedType)

nullable = field_nullable

args = []

foreign_key = getattr(field_info, "foreign_key", Undefined)

if foreign_key is Undefined:

foreign_key = None

unique = getattr(field_info, "unique", Undefined)

if unique is Undefined:

unique = False

if foreign_key:

if field_info.ondelete == "SET NULL" and not nullable:

raise RuntimeError('ondelete="SET NULL" requires nullable=True')

assert isinstance(foreign_key, str)

ondelete = getattr(field_info, "ondelete", Undefined)

if ondelete is Undefined:

ondelete = None

assert isinstance(ondelete, (str, type(None))) # for typing

args.append(ForeignKey(foreign_key, ondelete=ondelete))

kwargs = {

"primary_key": primary_key,

"nullable": nullable,

"index": index,

"unique": unique,

}

sa_default = Undefined

if field_info.default_factory:

sa_default = field_info.default_factory

elif field_info.default is not Undefined:

sa_default = field_info.default

if sa_default is not Undefined:

kwargs["default"] = sa_default

sa_column_args = getattr(field_info, "sa_column_args", Undefined)

if sa_column_args is not Undefined:

args.extend(list(cast(Sequence[Any], sa_column_args)))

sa_column_kwargs = getattr(field_info, "sa_column_kwargs", Undefined)

if sa_column_kwargs is not Undefined:

kwargs.update(cast(Dict[Any, Any], sa_column_kwargs))

return Column(sa_type, *args, **kwargs) # type: ignore

class_registry = weakref.WeakValueDictionary() # type: ignore

default_registry = registry()

_TSQLModel = TypeVar("_TSQLModel", bound="SQLModel")

class SQLModel(BaseModel, metaclass=SQLModelMetaclass, registry=default_registry):

# SQLAlchemy needs to set weakref(s), Pydantic will set the other slots values

__slots__ = ("__weakref__",)

__tablename__: ClassVar[Union[str, Callable[..., str]]]

__sqlmodel_relationships__: ClassVar[Dict[str, RelationshipProperty[Any]]]

__name__: ClassVar[str]

metadata: ClassVar[MetaData]

__allow_unmapped__ = True # https://docs.sqlalchemy.org/en/20/changelog/migration_20.html#migration-20-step-six

if IS_PYDANTIC_V2:

model_config = SQLModelConfig(from_attributes=True)

else:

class Config:

orm_mode = True

def __new__(cls, *args: Any, **kwargs: Any) -> Any:

new_object = super().__new__(cls)

# SQLAlchemy doesn't call __init__ on the base class when querying from DB

# Ref: https://docs.sqlalchemy.org/en/14/orm/constructors.html

# Set __fields_set__ here, that would have been set when calling __init__

# in the Pydantic model so that when SQLAlchemy sets attributes that are

# added (e.g. when querying from DB) to the __fields_set__, this already exists

init_pydantic_private_attrs(new_object)

return new_object

def __init__(__pydantic_self__, **data: Any) -> None:

# Uses something other than `self` the first arg to allow "self" as a

# settable attribute

# SQLAlchemy does very dark black magic and modifies the __init__ method in

# sqlalchemy.orm.instrumentation._generate_init()

# so, to make SQLAlchemy work, it's needed to explicitly call __init__ to

# trigger all the SQLAlchemy logic, it doesn't work using cls.__new__, setting

# attributes obj.__dict__, etc. The __init__ method has to be called. But

# there are cases where calling all the default logic is not ideal, e.g.

# when calling Model.model_validate(), as the validation is done outside

# of instance creation.

# At the same time, __init__ is what users would normally call, by creating

# a new instance, which should have validation and all the default logic.

# So, to be able to set up the internal SQLAlchemy logic alone without

# executing the rest, and support things like Model.model_validate(), we

# use a contextvar to know if we should execute everything.

if finish_init.get():

sqlmodel_init(self=__pydantic_self__, data=data)

def __setattr__(self, name: str, value: Any) -> None:

if name in {"_sa_instance_state"}:

self.__dict__[name] = value

return

else:

# Set in SQLAlchemy, before Pydantic to trigger events and updates

if is_table_model_class(self.__class__) and is_instrumented(self, name): # type: ignore[no-untyped-call]

set_attribute(self, name, value)

# Set in Pydantic model to trigger possible validation changes, only for

# non relationship values

if name not in self.__sqlmodel_relationships__:

super().__setattr__(name, value)

def __repr_args__(self) -> Sequence[Tuple[Optional[str], Any]]:

# Don't show SQLAlchemy private attributes

return [

(k, v)

for k, v in super().__repr_args__()

if not (isinstance(k, str) and k.startswith("_sa_"))

]

@declared_attr # type: ignore

def __tablename__(cls) -> str:

return cls.__name__.lower()

@classmethod

def model_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:

return sqlmodel_validate(

cls=cls,

obj=obj,

strict=strict,

from_attributes=from_attributes,

context=context,

update=update,

)

def model_dump(

self,

mode: Union[Literal["json", "python"], str] = "python",

include: Union[IncEx, None] = None,

context: Union[Dict[str, Any], None] = None,

by_alias: bool = False,

exclude_unset: bool = False,

exclude_defaults: bool = False,

exclude_none: bool = False,

round_trip: bool = False,

warnings: Union[bool, Literal["none", "warn", "error"]] = True,

serialize_as_any: bool = False,

) -> Dict[str, Any]:

if PYDANTIC_VERSION >= "2.7.0":

extra_kwargs: Dict[str, Any] = {

"context": context,

"serialize_as_any": serialize_as_any,

}

else:

extra_kwargs = {}

if IS_PYDANTIC_V2:

return super().model_dump(

mode=mode,

include=include,

exclude=exclude,

by_alias=by_alias,

exclude_unset=exclude_unset,

exclude_defaults=exclude_defaults,

exclude_none=exclude_none,

round_trip=round_trip,

warnings=warnings,

**extra_kwargs,

)

else:

return super().dict(

include=include,

exclude=exclude,

by_alias=by_alias,

exclude_unset=exclude_unset,

exclude_defaults=exclude_defaults,

exclude_none=exclude_none,

)

@deprecated(

"""

🚨 `obj.dict()` was deprecated in SQLModel 0.0.14, you should

instead use `obj.model_dump()`.

"""

)

def dict(

self,

include: Union[IncEx, None] = None,

by_alias: bool = False,

exclude_unset: bool = False,

exclude_defaults: bool = False,

exclude_none: bool = False,

) -> Dict[str, Any]:

return self.model_dump(

include=include,

exclude=exclude,

by_alias=by_alias,

exclude_unset=exclude_unset,

exclude_defaults=exclude_defaults,

exclude_none=exclude_none,

)

@classmethod

@deprecated(

"""

🚨 `obj.from_orm(data)` was deprecated in SQLModel 0.0.14, you should

instead use `obj.model_validate(data)`.

"""

)

def from_orm(

cls: Type[_TSQLModel], obj: Any, update: Optional[Dict[str, Any]] = None

) -> _TSQLModel:

return cls.model_validate(obj, update=update)

@classmethod

@deprecated(

"""

🚨 `obj.parse_obj(data)` was deprecated in SQLModel 0.0.14, you should

instead use `obj.model_validate(data)`.

"""

)

def parse_obj(

cls: Type[_TSQLModel], obj: Any, update: Optional[Dict[str, Any]] = None

) -> _TSQLModel:

if not IS_PYDANTIC_V2:

obj = cls._enforce_dict_if_root(obj) # type: ignore[attr-defined] # noqa

return cls.model_validate(obj, update=update)

# From Pydantic, override to only show keys from fields, omit SQLAlchemy attributes

@deprecated(

"""

🚨 You should not access `obj._calculate_keys()` directly.

It is only useful for Pydantic v1.X, you should probably upgrade to

Pydantic v2.X.

""",

category=None,

)

def _calculate_keys(

self,

include: Optional[Mapping[Union[int, str], Any]],

exclude_unset: bool,

update: Optional[Dict[str, Any]] = None,

) -> Optional[AbstractSet[str]]:

return _calculate_keys(

self,

include=include,

exclude=exclude,

exclude_unset=exclude_unset,

update=update,

)

def sqlmodel_update(

self: _TSQLModel,

obj: Union[Dict[str, Any], BaseModel],

update: Union[Dict[str, Any], None] = None,

) -> _TSQLModel:

use_update = (update or {}).copy()

if isinstance(obj, dict):

for key, value in {**obj, **use_update}.items():

if key in get_model_fields(self):

setattr(self, key, value)

elif isinstance(obj, BaseModel):

for key in get_model_fields(obj):

if key in use_update:

value = use_update.pop(key)

else:

value = getattr(obj, key)

setattr(self, key, value)

View remainder of file in raw view

sqlmodel/sqlmodel/main.py at patch-1 · bubbletroubles/sqlmodel · GitHub

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