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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,

)

from pydantic import BaseModel

from pydantic.errors import ConfigError, DictError

from pydantic.fields import FieldInfo as PydanticFieldInfo

from pydantic.fields import ModelField, Undefined, UndefinedType

from pydantic.main import BaseConfig, ModelMetaclass, validate_model

from pydantic.typing import ForwardRef, NoArgAnyCallable, resolve_annotations

from pydantic.utils import ROOT_KEY, Representation

from sqlalchemy import (

Boolean,

Column,

Date,

DateTime,

Float,

ForeignKey,

Integer,

Interval,

Numeric,

inspect,

)

from sqlalchemy.orm import 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

from .sql.sqltypes import GUID, AutoString

_T = TypeVar("_T")

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)

index = kwargs.pop("index", 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"

)

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

self.primary_key = primary_key

self.nullable = nullable

self.foreign_key = foreign_key

self.index = index

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,

link_model: Optional[Any] = None,

sa_relationship: Optional[RelationshipProperty] = None,

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.link_model = link_model

self.sa_relationship = sa_relationship

self.sa_relationship_args = sa_relationship_args

self.sa_relationship_kwargs = sa_relationship_kwargs

def Field(

default: Any = Undefined,

default_factory: Optional[NoArgAnyCallable] = None,

alias: str = None,

title: str = None,

description: str = None,

exclude: Union[

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: bool = None,

gt: float = None,

ge: float = None,

lt: float = None,

le: float = None,

multiple_of: float = None,

min_items: int = None,

max_items: int = None,

min_length: int = None,

max_length: int = None,

allow_mutation: bool = True,

regex: str = None,

primary_key: bool = False,

foreign_key: Optional[Any] = None,

nullable: Union[bool, UndefinedType] = Undefined,

index: Union[bool, UndefinedType] = Undefined,

sa_column: Union[Column, 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:

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,

min_items=min_items,

max_items=max_items,

min_length=min_length,

max_length=max_length,

allow_mutation=allow_mutation,

regex=regex,

primary_key=primary_key,

foreign_key=foreign_key,

nullable=nullable,

index=index,

sa_column=sa_column,

sa_column_args=sa_column_args,

sa_column_kwargs=sa_column_kwargs,

**current_schema_extra,

)

field_info._validate()

return field_info

def Relationship(

back_populates: Optional[str] = None,

link_model: Optional[Any] = None,

sa_relationship: Optional[RelationshipProperty] = None,

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

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

) -> Any:

relationship_info = RelationshipInfo(

back_populates=back_populates,

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]

__config__: Type[BaseConfig]

__fields__: Dict[str, ModelField]

# Replicate SQLAlchemy

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

if getattr(cls.__config__, "table", False): # type: ignore

DeclarativeMeta.__setattr__(cls, name, value)

else:

super().__setattr__(name, value)

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

if getattr(cls.__config__, "table", False): # type: ignore

DeclarativeMeta.__delattr__(cls, name)

else:

super().__delattr__(name)

# From Pydantic

def __new__(cls, name, bases, class_dict: dict, **kwargs) -> Any:

relationships: Dict[str, RelationshipInfo] = {}

dict_for_pydantic = {}

original_annotations = resolve_annotations(

class_dict.get("__annotations__", {}), class_dict.get("__module__", None)

)

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

}

pydantic_kwargs = kwargs.copy()

config_kwargs = {

key: pydantic_kwargs.pop(key)

for key in pydantic_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 = getattr(new_cls.__config__, 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.__config__.table = config_table

for k, v in new_cls.__fields__.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.__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.__config__.read_with_orm_mode = 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

new_cls.__config__.registry = config_table

setattr(new_cls, "_sa_registry", config_registry)

setattr(new_cls, "metadata", config_registry.metadata)

setattr(new_cls, "__abstract__", True)

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 = False

for base in bases:

config = getattr(base, "__config__")

if config and getattr(config, "table", False):

base_is_table = True

break

if getattr(cls.__config__, "table", False) and not base_is_table:

dict_used = dict_.copy()

for field_name, field_value in cls.__fields__.items():

dict_used[field_name] = get_column_from_field(field_value)

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

dict_used[rel_name] = rel_info.sa_relationship

continue

ann = cls.__annotations__[rel_name]

temp_field = ModelField.infer(

name=rel_name,

value=rel_info,

annotation=ann,

class_validators=None,

config=BaseConfig,

)

relationship_to = temp_field.type_

if isinstance(temp_field.type_, ForwardRef):

relationship_to = temp_field.type_.__forward_arg__ # type: ignore

rel_kwargs: Dict[str, Any] = {}

if rel_info.back_populates:

rel_kwargs["back_populates"] = rel_info.back_populates

if rel_info.link_model:

ins = inspect(rel_info.link_model)

local_table = getattr(ins, "local_table")

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: RelationshipProperty = relationship(

relationship_to, *rel_args, **rel_kwargs

)

dict_used[rel_name] = rel_value

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

else:

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

def get_sqlachemy_type(field: ModelField) -> Any:

if issubclass(field.type_, str):

if field.field_info.max_length:

return AutoString(length=field.field_info.max_length)

return AutoString

if issubclass(field.type_, float):

return Float

if issubclass(field.type_, bool):

return Boolean

if issubclass(field.type_, int):

return Integer

if issubclass(field.type_, datetime):

return DateTime

if issubclass(field.type_, date):

return Date

if issubclass(field.type_, timedelta):

return Interval

if issubclass(field.type_, time):

return Time

if issubclass(field.type_, Enum):

return Enum

if issubclass(field.type_, bytes):

return LargeBinary

if issubclass(field.type_, Decimal):

return Numeric

if issubclass(field.type_, ipaddress.IPv4Address):

return AutoString

if issubclass(field.type_, ipaddress.IPv4Network):

return AutoString

if issubclass(field.type_, ipaddress.IPv6Address):

return AutoString

if issubclass(field.type_, ipaddress.IPv6Network):

return AutoString

if issubclass(field.type_, Path):

return AutoString

if issubclass(field.type_, uuid.UUID):

return GUID

def get_column_from_field(field: ModelField) -> Column:

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

if isinstance(sa_column, Column):

return sa_column

sa_type = get_sqlachemy_type(field)

primary_key = getattr(field.field_info, "primary_key", False)

nullable = not field.required

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

if index is Undefined:

index = True

if hasattr(field.field_info, "nullable"):

field_nullable = getattr(field.field_info, "nullable")

if field_nullable != Undefined:

nullable = field_nullable

args = []

foreign_key = getattr(field.field_info, "foreign_key", None)

if foreign_key:

args.append(ForeignKey(foreign_key))

kwargs = {

"primary_key": primary_key,

"nullable": nullable,

"index": index,

}

sa_default = Undefined

if field.field_info.default_factory:

sa_default = field.field_info.default_factory

elif field.field_info.default is not Undefined:

sa_default = field.field_info.default

if sa_default is not Undefined:

kwargs["default"] = sa_default

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

if sa_column_args is not Undefined:

args.extend(list(cast(Sequence, sa_column_args)))

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

if sa_column_kwargs is not Undefined:

kwargs.update(cast(dict, sa_column_kwargs))

return Column(sa_type, *args, **kwargs)

class_registry = weakref.WeakValueDictionary() # type: ignore

default_registry = registry()

def _value_items_is_true(v) -> bool:

# Re-implement Pydantic's ValueItems.is_true() as it hasn't been released as of

# the current latest, Pydantic 1.8.2

return v is True or v is ...

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]]

__name__: ClassVar[str]

metadata: ClassVar[MetaData]

class Config:

orm_mode = True

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

new_object = super().__new__(cls)

# SQLAlchemy doesn't call __init__ on the base class

# 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

object.__setattr__(new_object, "__fields_set__", set())

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

if TYPE_CHECKING:

__pydantic_self__.__dict__: Dict[str, Any] = {}

__pydantic_self__.__fields_set__: Set[str] = set()

values, fields_set, validation_error = validate_model(

__pydantic_self__.__class__, data

)

# Only raise errors if not a SQLModel model

if (

not getattr(__pydantic_self__.__config__, "table", False)

and validation_error

raise validation_error

# Do not set values as in Pydantic, pass them through setattr, so SQLAlchemy

# can handle them

# object.__setattr__(__pydantic_self__, '__dict__', values)

object.__setattr__(__pydantic_self__, "__fields_set__", fields_set)

for key, value in values.items():

setattr(__pydantic_self__, key, value)

non_pydantic_keys = data.keys() - values.keys()

for key in non_pydantic_keys:

if key in __pydantic_self__.__sqlmodel_relationships__:

setattr(__pydantic_self__, key, data[key])

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 getattr(self.__config__, "table", False):

if 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)

@classmethod

def from_orm(cls: Type["SQLModel"], obj: Any, update: Dict[str, Any] = None):

# Duplicated from Pydantic

if not cls.__config__.orm_mode:

raise ConfigError(

"You must have the config attribute orm_mode=True to use from_orm"

)

obj = {ROOT_KEY: obj} if cls.__custom_root_type__ else cls._decompose_class(obj)

# SQLModel, support update dict

if update is not None:

obj = {**obj, **update}

# End SQLModel support dict

if not getattr(cls.__config__, "table", False):

# If not table, normal Pydantic code

m = 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):

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()

return m

@classmethod

def parse_obj(

cls: Type["SQLModel"], obj: Any, update: Dict[str, Any] = None

) -> "SQLModel":

obj = cls._enforce_dict_if_root(obj)

# SQLModel, support update dict

if update is not None:

obj = {**obj, **update}

# End SQLModel support dict

return super().parse_obj(obj)

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

# Don't show SQLAlchemy private attributes

return [(k, v) for k, v in self.__dict__.items() if not k.startswith("_sa_")]

# From Pydantic, override to enforce validation with dict

@classmethod

def validate(cls: Type["SQLModel"], value: Any) -> "SQLModel":

if isinstance(value, cls):

return value.copy() if cls.__config__.copy_on_model_validation else value

value = cls._enforce_dict_if_root(value)

if isinstance(value, dict):

values, fields_set, validation_error = validate_model(cls, value)

if validation_error:

raise validation_error

model = cls(**values)

# Reset fields set, this would have been done in Pydantic in __init__

object.__setattr__(model, "__fields_set__", fields_set)

return model

elif cls.__config__.orm_mode:

return cls.from_orm(value)

elif cls.__custom_root_type__:

return cls.parse_obj(value)

else:

try:

value_as_dict = dict(value)

except (TypeError, ValueError) as e:

raise DictError() from e

return cls(**value_as_dict)

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

def _calculate_keys( # type: ignore

self,

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 exclude_unset is False:

# 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() # | self.__sqlmodel_relationships__.keys()

keys: AbstractSet[str]

if exclude_unset:

keys = self.__fields_set__.copy()

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() # | 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 _value_items_is_true(v)}

return keys

@declared_attr # type: ignore

def __tablename__(cls) -> str:

return cls.__name__.lower()

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

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