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from __future__ import annotations

import builtins

import ipaddress

import uuid

from collections.abc import Callable, Mapping, Sequence, Set

from dataclasses import dataclass

from datetime import date, datetime, time, timedelta

from decimal import Decimal

from enum import Enum

from pathlib import Path

from typing import (

TYPE_CHECKING,

Any,

ClassVar,

Literal,

TypeAlias,

TypeVar,

Union,

cast,

get_origin,

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 deprecated

from ._compat import (

PYDANTIC_MINOR_VERSION,

BaseConfig,

ModelMetaclass,

Representation,

SQLModelConfig,

Undefined,

UndefinedType,

finish_init,

get_annotations,

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,

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 = (

set[int]

| set[str]

| Mapping[int, Union["IncEx", bool]]

| Mapping[str, Union["IncEx", bool]]

)

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[type | Callable[..., Any], ...] = (()),

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

return lambda a: a

class FieldInfo(PydanticFieldInfo): # ty: ignore[subclass-of-final-class]

# mypy - ignore that PydanticFieldInfo is @final

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: str | None = None,

cascade_delete: bool | None = False,

passive_deletes: bool | Literal["all"] | None = False,

link_model: Any | None = None,

sa_relationship: RelationshipProperty | None = None,

sa_relationship_args: Sequence[Any] | None = None,

sa_relationship_kwargs: Mapping[str, Any] | None = 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

@dataclass

class FieldInfoMetadata:

primary_key: bool | UndefinedType = Undefined

nullable: bool | UndefinedType = Undefined

foreign_key: Any = Undefined

ondelete: OnDeleteType | UndefinedType = Undefined

unique: bool | UndefinedType = Undefined

index: bool | UndefinedType = Undefined

sa_type: type[Any] | UndefinedType = Undefined

sa_column: Column[Any] | UndefinedType = Undefined

sa_column_args: Sequence[Any] | UndefinedType = Undefined

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

def _get_sqlmodel_field_metadata(field_info: Any) -> FieldInfoMetadata | None:

metadata_items = getattr(field_info, "metadata", None)

if metadata_items:

for meta in metadata_items:

if isinstance(meta, FieldInfoMetadata):

return meta

return None

def _get_sqlmodel_field_value(

field_info: Any, attribute: str, default: Any = Undefined

) -> Any:

metadata = _get_sqlmodel_field_metadata(field_info)

if metadata is not None and hasattr(metadata, attribute):

return getattr(metadata, attribute)

return getattr(field_info, attribute, default)

# include sa_type, sa_column_args, sa_column_kwargs

@overload

def Field(

default: Any = Undefined,

default_factory: NoArgAnyCallable | None = None,

alias: str | None = None,

validation_alias: str | None = None,

serialization_alias: str | None = None,

title: str | None = None,

description: str | None = None,

include: Set[int | str] | Mapping[int | str, Any] | Any = None,

const: bool | None = None,

gt: float | None = None,

ge: float | None = None,

lt: float | None = None,

le: float | None = None,

multiple_of: float | None = None,

max_digits: int | None = None,

decimal_places: int | None = None,

min_items: int | None = None,

max_items: int | None = None,

unique_items: bool | None = None,

min_length: int | None = None,

max_length: int | None = None,

allow_mutation: bool = True,

regex: str | None = None,

discriminator: str | None = None,

repr: bool = True,

primary_key: bool | UndefinedType = Undefined,

foreign_key: Any = Undefined,

unique: bool | UndefinedType = Undefined,

nullable: bool | UndefinedType = Undefined,

index: bool | UndefinedType = Undefined,

sa_type: type[Any] | UndefinedType = Undefined,

sa_column_args: Sequence[Any] | UndefinedType = Undefined,

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

schema_extra: dict[str, Any] | None = 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: NoArgAnyCallable | None = None,

alias: str | None = None,

validation_alias: str | None = None,

serialization_alias: str | None = None,

title: str | None = None,

description: str | None = None,

include: Set[int | str] | Mapping[int | str, Any] | Any = None,

const: bool | None = None,

gt: float | None = None,

ge: float | None = None,

lt: float | None = None,

le: float | None = None,

multiple_of: float | None = None,

max_digits: int | None = None,

decimal_places: int | None = None,

min_items: int | None = None,

max_items: int | None = None,

unique_items: bool | None = None,

min_length: int | None = None,

max_length: int | None = None,

allow_mutation: bool = True,

regex: str | None = None,

discriminator: str | None = None,

repr: bool = True,

primary_key: bool | UndefinedType = Undefined,

foreign_key: str,

ondelete: OnDeleteType | UndefinedType = Undefined,

unique: bool | UndefinedType = Undefined,

nullable: bool | UndefinedType = Undefined,

index: bool | UndefinedType = Undefined,

sa_type: type[Any] | UndefinedType = Undefined,

sa_column_args: Sequence[Any] | UndefinedType = Undefined,

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

schema_extra: dict[str, Any] | None = 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: NoArgAnyCallable | None = None,

alias: str | None = None,

validation_alias: str | None = None,

serialization_alias: str | None = None,

title: str | None = None,

description: str | None = None,

include: Set[int | str] | Mapping[int | str, Any] | Any = None,

const: bool | None = None,

gt: float | None = None,

ge: float | None = None,

lt: float | None = None,

le: float | None = None,

multiple_of: float | None = None,

max_digits: int | None = None,

decimal_places: int | None = None,

min_items: int | None = None,

max_items: int | None = None,

unique_items: bool | None = None,

min_length: int | None = None,

max_length: int | None = None,

allow_mutation: bool = True,

regex: str | None = None,

discriminator: str | None = None,

repr: bool = True,

sa_column: Column[Any] | UndefinedType = Undefined,

schema_extra: dict[str, Any] | None = None,

) -> Any: ...

def Field(

default: Any = Undefined,

default_factory: NoArgAnyCallable | None = None,

alias: str | None = None,

validation_alias: str | None = None,

serialization_alias: str | None = None,

title: str | None = None,

description: str | None = None,

include: Set[int | str] | Mapping[int | str, Any] | Any = None,

const: bool | None = None,

gt: float | None = None,

ge: float | None = None,

lt: float | None = None,

le: float | None = None,

multiple_of: float | None = None,

max_digits: int | None = None,

decimal_places: int | None = None,

min_items: int | None = None,

max_items: int | None = None,

unique_items: bool | None = None,

min_length: int | None = None,

max_length: int | None = None,

allow_mutation: bool = True,

regex: str | None = None,

discriminator: str | None = None,

repr: bool = True,

primary_key: bool | UndefinedType = Undefined,

foreign_key: Any = Undefined,

ondelete: OnDeleteType | UndefinedType = Undefined,

unique: bool | UndefinedType = Undefined,

nullable: bool | UndefinedType = Undefined,

index: bool | UndefinedType = Undefined,

sa_type: type[Any] | UndefinedType = Undefined,

sa_column: Column | UndefinedType = Undefined,

sa_column_args: Sequence[Any] | UndefinedType = Undefined,

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

schema_extra: dict[str, Any] | None = None,

) -> Any:

current_schema_extra = schema_extra or {}

# Extract possible alias settings from schema_extra so we can control precedence

schema_validation_alias = current_schema_extra.pop("validation_alias", None)

schema_serialization_alias = current_schema_extra.pop("serialization_alias", None)

field_info_kwargs = {

"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,

}

# explicit params > schema_extra > alias propagation

field_info_kwargs["validation_alias"] = (

validation_alias or schema_validation_alias or alias

)

field_info_kwargs["serialization_alias"] = (

serialization_alias or schema_serialization_alias or alias

)

field_info = FieldInfo(

default,

default_factory=default_factory,

**field_info_kwargs,

)

field_metadata = FieldInfoMetadata(

primary_key=primary_key,

nullable=nullable,

foreign_key=foreign_key,

ondelete=ondelete,

unique=unique,

index=index,

sa_type=sa_type,

sa_column=sa_column,

sa_column_args=sa_column_args,

sa_column_kwargs=sa_column_kwargs,

)

if hasattr(field_info, "metadata"):

field_info.metadata.append(field_metadata)

return field_info

@overload

def Relationship(

back_populates: str | None = None,

cascade_delete: bool | None = False,

passive_deletes: bool | Literal["all"] | None = False,

link_model: Any | None = None,

sa_relationship_args: Sequence[Any] | None = None,

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

) -> Any: ...

@overload

def Relationship(

back_populates: str | None = None,

cascade_delete: bool | None = False,

passive_deletes: bool | Literal["all"] | None = False,

link_model: Any | None = None,

sa_relationship: RelationshipProperty[Any] | None = None,

) -> Any: ...

def Relationship(

back_populates: str | None = None,

cascade_delete: bool | None = False,

passive_deletes: bool | Literal["all"] | None = False,

link_model: Any | None = None,

sa_relationship: RelationshipProperty[Any] | None = None,

sa_relationship_args: Sequence[Any] | None = None,

sa_relationship_kwargs: Mapping[str, Any] | None = 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: ClassVar[dict[str, FieldInfo]]

# Replicate SQLAlchemy

def __setattr__(cls, name: str, value: Any) -> None: # ty: ignore[invalid-method-override]

if is_table_model_class(cls):

DeclarativeMeta.__setattr__(cls, name, value)

else:

super().__setattr__(name, value)

def __delattr__(cls, name: str) -> None: # ty: ignore[invalid-method-override]

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 = cast(

"SQLModel", 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 = new_cls.model_config.get(name, 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

new_cls.model_config["table"] = 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.

new_cls.model_config["read_from_attributes"] = True # ty: ignore[invalid-key]

# For compatibility with older versions

# TODO: remove this in the future

new_cls.model_config["read_with_orm_mode"] = True # ty: ignore[invalid-key]

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

new_cls.model_config["registry"] = 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: Any = 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]

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:

field_info = field

sa_type = _get_sqlmodel_field_value(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:

field_info = field

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

if isinstance(sa_column, Column):

return sa_column

sa_type = get_sqlalchemy_type(field)

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

if primary_key is Undefined:

primary_key = False

index = _get_sqlmodel_field_value(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 = _get_sqlmodel_field_value(field_info, "nullable", Undefined)

if field_nullable is not Undefined:

assert not isinstance(field_nullable, UndefinedType)

nullable = field_nullable

args = []

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

if foreign_key is Undefined:

foreign_key = None

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

if unique is Undefined:

unique = False

if foreign_key:

ondelete_value = _get_sqlmodel_field_value(field_info, "ondelete", Undefined)

if ondelete_value is Undefined:

ondelete_value = None

if ondelete_value == "SET NULL" and not nullable:

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

assert isinstance(foreign_key, str)

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

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

kwargs: dict[str, Any] = {

"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 = _get_sqlmodel_field_value(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 = _get_sqlmodel_field_value(

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)

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[str | Callable[..., str]]

__sqlmodel_relationships__: ClassVar[builtins.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

model_config = SQLModelConfig(from_attributes=True)

# Typing spec says `__new__` returning `Any` overrides normal constructor

# behavior, but a missing annotation does not:

def __new__(cls, *args: Any, **kwargs: Any): # type: ignore[no-untyped-def]

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):

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[str | None, 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( # ty: ignore[invalid-method-override]

cls: type[_TSQLModel],

obj: Any,

strict: bool | None = None,

from_attributes: bool | None = None,

context: builtins.dict[str, Any] | None = None,

update: builtins.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: Literal["json", "python"] | str = "python",

include: IncEx | None = None,

context: Any | None = None, # v2.7

by_alias: bool | None = None,

exclude_unset: bool = False,

exclude_defaults: bool = False,

exclude_none: bool = False,

exclude_computed_fields: bool = False, # v2.12

round_trip: bool = False,

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

fallback: Callable[[Any], Any] | None = None, # v2.11

serialize_as_any: bool = False, # v2.7

) -> builtins.dict[str, Any]:

if PYDANTIC_MINOR_VERSION < (2, 11):

by_alias = by_alias or False

extra_kwargs: dict[str, Any] = {}

extra_kwargs["context"] = context

extra_kwargs["serialize_as_any"] = serialize_as_any

if PYDANTIC_MINOR_VERSION >= (2, 11):

extra_kwargs["fallback"] = fallback

if PYDANTIC_MINOR_VERSION >= (2, 12):

extra_kwargs["exclude_computed_fields"] = exclude_computed_fields

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,

)

@deprecated(

"""

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

instead use `obj.model_dump()`.

"""

)

def dict(

self,

include: IncEx | None = None,

by_alias: bool = False,

exclude_unset: bool = False,

exclude_defaults: bool = False,

exclude_none: bool = False,

) -> builtins.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: builtins.dict[str, Any] | None = 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: builtins.dict[str, Any] | None = None,

) -> _TSQLModel:

return cls.model_validate(obj, update=update)

def sqlmodel_update(

self: _TSQLModel,

obj: builtins.dict[str, Any] | BaseModel,

update: builtins.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)

for remaining_key, value in use_update.items():

View remainder of file in raw view

sqlmodel/sqlmodel/main.py at main · m0ga0/sqlmodel · GitHub

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