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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 (
AbstractSet,
Any,
Callable,
ClassVar,
Dict,
List,
Mapping,
Optional,
Sequence,
Set,
Tuple,
Type,
TypeVar,
Union,
cast,
)
from pydantic import BaseConfig, BaseModel
from pydantic.errors import ConfigError, DictError
from pydantic.fields import SHAPE_SINGLETON
from pydantic.fields import FieldInfo as PydanticFieldInfo
from pydantic.fields import ModelField, Undefined, UndefinedType
from pydantic.main import 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
from sqlalchemy import Enum as sa_Enum
from sqlalchemy import 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)
unique = kwargs.pop("unique", False)
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.unique = unique
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, # 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.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: Optional[str] = None,
title: Optional[str] = None,
description: Optional[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: Optional[bool] = None,
gt: Optional[float] = None,
ge: Optional[float] = None,
lt: Optional[float] = None,
le: Optional[float] = None,
multiple_of: Optional[float] = None,
min_items: Optional[int] = None,
max_items: Optional[int] = None,
min_length: Optional[int] = None,
max_length: Optional[int] = None,
allow_mutation: bool = True,
regex: Optional[str] = None,
primary_key: bool = False,
foreign_key: Optional[Any] = None,
unique: bool = False,
nullable: Union[bool, UndefinedType] = Undefined,
index: Union[bool, 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,
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,
unique=unique,
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, # type: ignore
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):
DeclarativeMeta.__setattr__(cls, name, value)
else:
super().__setattr__(name, value)
def __delattr__(cls, name: str) -> None:
if getattr(cls.__config__, "table", False):
DeclarativeMeta.__delattr__(cls, name)
else:
super().__delattr__(name)
# From Pydantic
def __new__(
cls,
name: str,
bases: Tuple[Type[Any], ...],
class_dict: Dict[str, Any],
**kwargs: Any,
) -> 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__
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( # type: ignore
relationship_to, *rel_args, **rel_kwargs
)
dict_used[rel_name] = rel_value
setattr(cls, rel_name, rel_value) # Fix #315
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 sa_Enum(field.type_)
if issubclass(field.type_, bytes):
return LargeBinary
if issubclass(field.type_, Decimal):
return Numeric(
precision=getattr(field.type_, "max_digits", None),
scale=getattr(field.type_, "decimal_places", None),
)
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
raise ValueError(f"The field {field.name} has no matching SQLAlchemy type")
def get_column_from_field(field: ModelField) -> Column: # type: ignore
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)
index = getattr(field.field_info, "index", Undefined)
if index is Undefined:
index = False
if hasattr(field.field_info, "nullable"):
field_nullable = getattr(field.field_info, "nullable")
if field_nullable != Undefined:
nullable = field_nullable
nullable = not primary_key and _is_field_nullable(field)
args = []
foreign_key = getattr(field.field_info, "foreign_key", None)
unique = getattr(field.field_info, "unique", False)
if foreign_key:
args.append(ForeignKey(foreign_key))
kwargs = {
"primary_key": primary_key,
"nullable": nullable,
"index": index,
"unique": unique,
}
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[Any], 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[Any, Any], sa_column_kwargs))
return Column(sa_type, *args, **kwargs) # type: ignore
class_registry = weakref.WeakValueDictionary() # type: ignore
default_registry = registry()
def _value_items_is_true(v: Any) -> 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 ...
_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]] # type: ignore
__name__: ClassVar[str]
metadata: ClassVar[MetaData]
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
# 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
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)
for key, value in values.items():
setattr(__pydantic_self__, key, value)
object.__setattr__(__pydantic_self__, "__fields_set__", fields_set)
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) 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)
@classmethod
def from_orm(
cls: Type[_TSQLModel], obj: Any, update: Optional[Dict[str, Any]] = None
) -> _TSQLModel:
# 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: _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):
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[_TSQLModel], obj: Any, update: Optional[Dict[str, Any]] = None
) -> _TSQLModel:
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[_TSQLModel], value: Any) -> _TSQLModel:
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(**value)
# 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(
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 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() # | 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()
def _is_field_nullable(field: ModelField) -> bool:
if not field.required:
# Taken from [Pydantic](https://github.com/samuelcolvin/pydantic/blob/v1.8.2/pydantic/fields.py#L946-L947)
is_optional = field.allow_none and (
field.shape != SHAPE_SINGLETON or not field.sub_fields
)
return is_optional and field.default is None and field.default_factory is None
return False