services

final class advanced_alchemy.service.Empty[source]

Bases: object

A sentinel class used as placeholder.

class advanced_alchemy.service.ErrorMessages[source]

Bases: TypedDict

duplicate_key: Union[str, Callable[[Exception], str]]
integrity: Union[str, Callable[[Exception], str]]
foreign_key: Union[str, Callable[[Exception], str]]
multiple_rows: Union[str, Callable[[Exception], str]]
check_constraint: Union[str, Callable[[Exception], str]]
other: Union[str, Callable[[Exception], str]]
class advanced_alchemy.service.OffsetPagination[source]

Bases: Generic[T]

Container for data returned using limit/offset pagination.

items: Sequence[TypeVar(T)]

List of data being sent as part of the response.

limit: int

Maximal number of items to send.

__init__(items, limit, offset, total)
offset: int

Offset from the beginning of the query.

Identical to an index.

total: int

Total number of items.

class advanced_alchemy.service.ResultConverter[source]

Bases: object

Simple mixin to help convert to a paginated response model.

Single objects are transformed to the supplied schema type, and lists of objects are automatically transformed into an OffsetPagination response of the supplied schema type.

Parameters:

data – A database model instance or row mapping. Type: ModelOrRowMappingT

Returns:

The converted schema object.

to_schema(data, total=None, filters=None, *, schema_type=None)[source]

Convert the object to a response schema.

When schema_type is None, the model is returned with no conversion.

Parameters:
  • data – The return from one of the service calls. Type: ModelOrRowMappingT

  • total – The total number of rows in the data.

  • filtersColumnElement Collection of route filters.

  • schema_typeModelDTOT Optional schema type to convert the data to

Returns:

class advanced_alchemy.service.SQLAlchemyAsyncQueryService[source]

Bases: ResultConverter

Simple service to execute the basic Query repository..

__init__(session, **repo_kwargs)[source]

Configure the service object.

Parameters:
classmethod new(cls, session=None, config=None)[source]

Context manager that returns instance of service object.

Handles construction of the database session._create_select_for_model

Return type:

AsyncIterator[Self]

Returns:

The service object instance.

class advanced_alchemy.service.SQLAlchemyAsyncRepositoryReadService[source]

Bases: ResultConverter, Generic[ModelT, SQLAlchemyAsyncRepositoryT]

Service object that operates on a repository object.

repository_type: type[TypeVar(SQLAlchemyAsyncRepositoryT, bound= Union[SQLAlchemyAsyncRepository[Any], SQLAlchemyAsyncMockRepository[Any]])]

Type of the repository to use.

loader_options: ClassVar[Union[Sequence[Union[_AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any], Sequence[Union[_AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any]]]]], _AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any], ExecutableOption, Sequence[ExecutableOption], None]] = None

Default loader options for the repository.

execution_options: ClassVar[Optional[dict[str, Any]]] = None

Default execution options for the repository.

match_fields: ClassVar[Union[list[str], str, None]] = None

List of dialects that prefer to use field.id = ANY(:1) instead of field.id IN (...).

uniquify: ClassVar[bool] = False

Optionally apply the unique() method to results before returning.

__init__(session, *, statement=None, auto_expunge=False, auto_refresh=True, auto_commit=False, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, wrap_exceptions=True, load=None, execution_options=None, uniquify=None, **repo_kwargs)[source]

Configure the service object.

Parameters:
property repository: SQLAlchemyAsyncRepositoryT

Return the repository instance.

property model_type: type[ModelT]

Return the model type.

async count(*filters, statement=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Count of records returned by query.

Parameters:
Return type:

int

Returns:

A count of the collection, filtered, but ignoring pagination.

async exists(*filters, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository exists operation.

Parameters:
Return type:

bool

Returns:

Representation of instance with identifier item_id.

async get(item_id, *, statement=None, id_attribute=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository scalar operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of instance with identifier item_id.

async get_one(*filters, statement=None, auto_expunge=None, load=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalar operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of instance with identifier item_id.

async get_one_or_none(*filters, statement=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalar operation.

Parameters:
Return type:

Optional[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

Representation of instance with identifier item_id.

async to_model_on_create(data)[source]

Convenience method to allow for custom behavior on create.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

async to_model_on_update(data)[source]

Convenience method to allow for custom behavior on update.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

async to_model_on_delete(data)[source]

Convenience method to allow for custom behavior on delete.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

async to_model_on_upsert(data)[source]

Convenience method to allow for custom behavior on upsert.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

async to_model(data, operation=None)[source]

Parse and Convert input into a model.

Parameters:
  • data – Representations to be created.

  • operation – Optional operation flag so that you can provide behavior based on CRUD operation

Returns:

Representation of created instances.

async list_and_count(*filters, statement=None, auto_expunge=None, force_basic_query_mode=None, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

List of records and total count returned by query.

Parameters:
Return type:

tuple[Sequence[TypeVar(ModelT, bound= base.ModelProtocol)], int]

Returns:

List of instances and count of total collection, ignoring pagination.

classmethod new(cls, session=None, statement=None, config=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Context manager that returns instance of service object.

Handles construction of the database session._create_select_for_model

Return type:

AsyncIterator[Self]

Returns:

The service object instance.

async list(*filters, statement=None, auto_expunge=None, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalars operation.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

The list of instances retrieved from the repository.

class advanced_alchemy.service.SQLAlchemyAsyncRepositoryService[source]

Bases: SQLAlchemyAsyncRepositoryReadService[ModelT, SQLAlchemyAsyncRepositoryT], Generic[ModelT, SQLAlchemyAsyncRepositoryT]

Service object that operates on a repository object.

async create(data, *, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>)[source]

Wrap repository instance creation.

Parameters:
  • data – Representation to be created.

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

Returns:

Representation of created instance.

async create_many(data, *, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>)[source]

Wrap repository bulk instance creation.

Parameters:
  • data – Representations to be created.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Representation of created instances.

async update(data, item_id=None, *, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, id_attribute=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository update operation.

Parameters:
  • data – Representation to be updated.

  • item_id – Identifier of item to be updated.

  • attribute_names – an iterable of attribute names to pass into the update method.

  • with_for_update – indicating FOR UPDATE should be used, or may be a dictionary containing flags to indicate a more specific set of FOR UPDATE flags for the SELECT

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • id_attribute – Allows customization of the unique identifier to use for model fetching. Defaults to id, but can reference any surrogate or candidate key for the table.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated representation.

async update_many(data, *, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository bulk instance update.

Parameters:
  • data – Representations to be updated.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Representation of updated instances.

async upsert(data, item_id=None, *, attribute_names=None, with_for_update=None, auto_expunge=None, auto_commit=None, auto_refresh=None, match_fields=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository upsert operation.

Parameters:
  • data – Instance to update existing, or be created. Identifier used to determine if an existing instance exists is the value of an attribute on data named as value of self.id_attribute.

  • item_id – Identifier of the object for upsert.

  • attribute_names – an iterable of attribute names to pass into the update method.

  • with_for_update – indicating FOR UPDATE should be used, or may be a dictionary containing flags to indicate a more specific set of FOR UPDATE flags for the SELECT

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • match_fields – a list of keys to use to match the existing model. When empty, all fields are matched.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated or created representation.

async upsert_many(data, *, auto_expunge=None, auto_commit=None, no_merge=False, match_fields=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository upsert operation.

Parameters:
  • data – Instance to update existing, or be created.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • no_merge – Skip the usage of optimized Merge statements (reserved for future use)

  • match_fields – a list of keys to use to match the existing model. When empty, all fields are matched.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated or created representation.

async get_or_upsert(*filters, match_fields=None, upsert=True, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository instance creation.

Parameters:
Return type:

tuple[TypeVar(ModelT, bound= base.ModelProtocol), bool]

Returns:

Representation of created instance.

async get_and_update(*filters, match_fields=None, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository instance creation.

Parameters:
Return type:

tuple[TypeVar(ModelT, bound= base.ModelProtocol), bool]

Returns:

Representation of updated instance.

async delete(item_id, *, auto_commit=None, auto_expunge=None, id_attribute=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository delete operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of the deleted instance.

async delete_many(item_ids, *, auto_commit=None, auto_expunge=None, id_attribute=None, chunk_size=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository bulk instance deletion.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

Representation of removed instances.

async delete_where(*filters, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, sanity_check=True, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalars operation.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

The list of instances deleted from the repository.

class advanced_alchemy.service.SQLAlchemySyncQueryService[source]

Bases: ResultConverter

Simple service to execute the basic Query repository..

__init__(session, **repo_kwargs)[source]

Configure the service object.

Parameters:
classmethod new(cls, session=None, config=None)[source]

Context manager that returns instance of service object.

Handles construction of the database session._create_select_for_model

Return type:

Iterator[Self]

Returns:

The service object instance.

class advanced_alchemy.service.SQLAlchemySyncRepositoryReadService[source]

Bases: ResultConverter, Generic[ModelT, SQLAlchemySyncRepositoryT]

Service object that operates on a repository object.

repository_type: type[TypeVar(SQLAlchemySyncRepositoryT, bound= Union[SQLAlchemySyncRepository[Any], SQLAlchemySyncMockRepository[Any]])]

Type of the repository to use.

loader_options: ClassVar[Union[Sequence[Union[_AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any], Sequence[Union[_AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any]]]]], _AbstractLoad, Literal['*'], InstrumentedAttribute[Any], RelationshipProperty[Any], MapperProperty[Any], ExecutableOption, Sequence[ExecutableOption], None]] = None

Default loader options for the repository.

execution_options: ClassVar[Optional[dict[str, Any]]] = None

Default execution options for the repository.

match_fields: ClassVar[Union[list[str], str, None]] = None

List of dialects that prefer to use field.id = ANY(:1) instead of field.id IN (...).

uniquify: ClassVar[bool] = False

Optionally apply the unique() method to results before returning.

__init__(session, *, statement=None, auto_expunge=False, auto_refresh=True, auto_commit=False, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, wrap_exceptions=True, load=None, execution_options=None, uniquify=None, **repo_kwargs)[source]

Configure the service object.

Parameters:
property repository: SQLAlchemySyncRepositoryT

Return the repository instance.

property model_type: type[ModelT]

Return the model type.

count(*filters, statement=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Count of records returned by query.

Parameters:
Return type:

int

Returns:

A count of the collection, filtered, but ignoring pagination.

exists(*filters, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository exists operation.

Parameters:
Return type:

bool

Returns:

Representation of instance with identifier item_id.

get(item_id, *, statement=None, id_attribute=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository scalar operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of instance with identifier item_id.

get_one(*filters, statement=None, auto_expunge=None, load=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalar operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of instance with identifier item_id.

get_one_or_none(*filters, statement=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalar operation.

Parameters:
Return type:

Optional[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

Representation of instance with identifier item_id.

to_model_on_create(data)[source]

Convenience method to allow for custom behavior on create.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

to_model_on_update(data)[source]

Convenience method to allow for custom behavior on update.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

to_model_on_delete(data)[source]

Convenience method to allow for custom behavior on delete.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

to_model_on_upsert(data)[source]

Convenience method to allow for custom behavior on upsert.

Parameters:

data – The data to be converted to a model.

Returns:

The data to be converted to a model.

to_model(data, operation=None)[source]

Parse and Convert input into a model.

Parameters:
  • data – Representations to be created.

  • operation – Optional operation flag so that you can provide behavior based on CRUD operation

Returns:

Representation of created instances.

list_and_count(*filters, statement=None, auto_expunge=None, force_basic_query_mode=None, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

List of records and total count returned by query.

Parameters:
Return type:

tuple[Sequence[TypeVar(ModelT, bound= base.ModelProtocol)], int]

Returns:

List of instances and count of total collection, ignoring pagination.

classmethod new(cls, session=None, statement=None, config=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Context manager that returns instance of service object.

Handles construction of the database session._create_select_for_model

Return type:

Iterator[Self]

Returns:

The service object instance.

list(*filters, statement=None, auto_expunge=None, order_by=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalars operation.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

The list of instances retrieved from the repository.

class advanced_alchemy.service.SQLAlchemySyncRepositoryService[source]

Bases: SQLAlchemySyncRepositoryReadService[ModelT, SQLAlchemySyncRepositoryT], Generic[ModelT, SQLAlchemySyncRepositoryT]

Service object that operates on a repository object.

create(data, *, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>)[source]

Wrap repository instance creation.

Parameters:
  • data – Representation to be created.

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

Returns:

Representation of created instance.

create_many(data, *, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>)[source]

Wrap repository bulk instance creation.

Parameters:
  • data – Representations to be created.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Representation of created instances.

update(data, item_id=None, *, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, id_attribute=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository update operation.

Parameters:
  • data – Representation to be updated.

  • item_id – Identifier of item to be updated.

  • attribute_names – an iterable of attribute names to pass into the update method.

  • with_for_update – indicating FOR UPDATE should be used, or may be a dictionary containing flags to indicate a more specific set of FOR UPDATE flags for the SELECT

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • id_attribute – Allows customization of the unique identifier to use for model fetching. Defaults to id, but can reference any surrogate or candidate key for the table.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated representation.

update_many(data, *, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository bulk instance update.

Parameters:
  • data – Representations to be updated.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Representation of updated instances.

upsert(data, item_id=None, *, attribute_names=None, with_for_update=None, auto_expunge=None, auto_commit=None, auto_refresh=None, match_fields=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository upsert operation.

Parameters:
  • data – Instance to update existing, or be created. Identifier used to determine if an existing instance exists is the value of an attribute on data named as value of self.id_attribute.

  • item_id – Identifier of the object for upsert.

  • attribute_names – an iterable of attribute names to pass into the update method.

  • with_for_update – indicating FOR UPDATE should be used, or may be a dictionary containing flags to indicate a more specific set of FOR UPDATE flags for the SELECT

  • auto_expunge – Remove object from session before returning.

  • auto_refresh – Refresh object from session before returning.

  • auto_commit – Commit objects before returning.

  • match_fields – a list of keys to use to match the existing model. When empty, all fields are matched.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated or created representation.

upsert_many(data, *, auto_expunge=None, auto_commit=None, no_merge=False, match_fields=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository upsert operation.

Parameters:
  • data – Instance to update existing, or be created.

  • auto_expunge – Remove object from session before returning.

  • auto_commit – Commit objects before returning.

  • no_merge – Skip the usage of optimized Merge statements (reserved for future use)

  • match_fields – a list of keys to use to match the existing model. When empty, all fields are matched.

  • error_messages – An optional dictionary of templates to use for friendlier error messages to clients

  • load – Set default relationships to be loaded

  • execution_options – Set default execution options

  • uniquify – Optionally apply the unique() method to results before returning.

Returns:

Updated or created representation.

get_or_upsert(*filters, match_fields=None, upsert=True, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository instance creation.

Parameters:
Return type:

tuple[TypeVar(ModelT, bound= base.ModelProtocol), bool]

Returns:

Representation of created instance.

get_and_update(*filters, match_fields=None, attribute_names=None, with_for_update=None, auto_commit=None, auto_expunge=None, auto_refresh=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository instance creation.

Parameters:
Return type:

tuple[TypeVar(ModelT, bound= base.ModelProtocol), bool]

Returns:

Representation of updated instance.

delete(item_id, *, auto_commit=None, auto_expunge=None, id_attribute=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository delete operation.

Parameters:
Return type:

TypeVar(ModelT, bound= base.ModelProtocol)

Returns:

Representation of the deleted instance.

delete_many(item_ids, *, auto_commit=None, auto_expunge=None, id_attribute=None, chunk_size=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, load=None, execution_options=None, uniquify=None)[source]

Wrap repository bulk instance deletion.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

Representation of removed instances.

delete_where(*filters, auto_commit=None, auto_expunge=None, error_messages=<class 'advanced_alchemy.utils.dataclass.Empty'>, sanity_check=True, load=None, execution_options=None, uniquify=None, **kwargs)[source]

Wrap repository scalars operation.

Parameters:
Return type:

Sequence[TypeVar(ModelT, bound= base.ModelProtocol)]

Returns:

The list of instances deleted from the repository.

advanced_alchemy.service.find_filter(filter_type, filters)[source]

Get the filter specified by filter type from the filters.

Parameters:
  • filter_type – The type of filter to find.

  • filters – filter types to apply to the query

Returns:

The match filter instance or None

advanced_alchemy.service.is_dict(v)[source]

Check if a value is a dictionary.

Parameters:

v (Any) – Value to check.

Return type:

TypeGuard[dict[str, Any]]

Returns:

bool

advanced_alchemy.service.is_dict_with_field(v, field_name)[source]

Check if a dictionary has a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[dict[str, Any]]

Returns:

bool

advanced_alchemy.service.is_dict_without_field(v, field_name)[source]

Check if a dictionary does not have a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[dict[str, Any]]

Returns:

bool

advanced_alchemy.service.is_dto_data(v)[source]

Check if a value is a Litestar DTOData object.

Parameters:

v (Any) – Value to check.

Return type:

TypeGuard[DTOData[Any]]

Returns:

bool

advanced_alchemy.service.is_msgspec_struct(v)[source]

Check if a value is a msgspec struct.

Parameters:

v (Any) – Value to check.

Return type:

TypeGuard[Struct]

Returns:

bool

advanced_alchemy.service.is_msgspec_struct_with_field(v, field_name)[source]

Check if a msgspec struct has a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[Struct]

Returns:

bool

advanced_alchemy.service.is_msgspec_struct_without_field(v, field_name)[source]

Check if a msgspec struct does not have a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[msgspec.Struct]

Returns:

bool

advanced_alchemy.service.is_pydantic_model(v)[source]

Check if a value is a pydantic model.

Parameters:

v (Any) – Value to check.

Return type:

TypeGuard[BaseModel]

Returns:

bool

advanced_alchemy.service.is_pydantic_model_with_field(v, field_name)[source]

Check if a pydantic model has a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[BaseModel]

Returns:

bool

advanced_alchemy.service.is_pydantic_model_without_field(v, field_name)[source]

Check if a pydantic model does not have a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[BaseModel]

Returns:

bool

advanced_alchemy.service.is_schema(v)[source]

Check if a value is a msgspec Struct or Pydantic model.

Parameters:

v (Any) – Value to check.

Return type:

TypeGuard[Union[Struct, BaseModel]]

Returns:

bool

advanced_alchemy.service.is_schema_or_dict(v)[source]

Check if a value is a msgspec Struct, Pydantic model, or dict.

Parameters:

v – Value to check.

Returns:

bool

advanced_alchemy.service.is_schema_or_dict_with_field(v, field_name)[source]

Check if a value is a msgspec Struct, Pydantic model, or dict with a specific field.

Parameters:
  • v – Value to check.

  • field_name – Field name to check for.

Returns:

bool

advanced_alchemy.service.is_schema_or_dict_without_field(v, field_name)[source]

Check if a value is a msgspec Struct, Pydantic model, or dict without a specific field.

Parameters:
  • v – Value to check.

  • field_name – Field name to check for.

Returns:

bool

advanced_alchemy.service.is_schema_with_field(v, field_name)[source]

Check if a value is a msgspec Struct or Pydantic model with a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[Union[Struct, BaseModel]]

Returns:

bool

advanced_alchemy.service.is_schema_without_field(v, field_name)[source]

Check if a value is a msgspec Struct or Pydantic model without a specific field.

Parameters:
  • v (Any) – Value to check.

  • field_name (str) – Field name to check for.

Return type:

TypeGuard[Union[Struct, BaseModel]]

Returns:

bool

advanced_alchemy.service.model_from_dict(model, **kwargs)[source]

Create an ORM model instance from a dictionary of attributes.

Parameters:
  • model (type[TypeVar(ModelT, bound= base.ModelProtocol)]) – The SQLAlchemy model class to instantiate.

  • **kwargs (Any) – Keyword arguments containing model attribute values.

Returns:

A new instance of the model populated with the provided values.

Return type:

ModelT

advanced_alchemy.service.schema_dump(data, exclude_unset=True)[source]

Dump a data object to a dictionary.

Parameters:
  • datadict[str, Any] | advanced_alchemy.base.ModelProtocol | msgspec.Struct | pydantic.BaseModel | litestar.dto.data_structures.DTOData[ModelT]

  • exclude_unsetbool Whether to exclude unset values.

Returns:

type: dict[str, Any], ModelProtocol]

Return type:

Union[