Module `aws_lambda_powertools.utilities.parser.models.sqs`

Classes

class SqsAttributesModel (**data: Any)

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Expand source code

class SqsAttributesModel(BaseModel):
    ApproximateReceiveCount: str
    ApproximateFirstReceiveTimestamp: datetime
    MessageDeduplicationId: Optional[str] = None
    MessageGroupId: Optional[str] = None
    SenderId: str
    SentTimestamp: datetime
    SequenceNumber: Optional[str] = None
    AWSTraceHeader: Optional[str] = None
    DeadLetterQueueSourceArn: Optional[str] = None

Ancestors

pydantic.main.BaseModel

Class variables

var AWSTraceHeader : Optional[str]
var ApproximateFirstReceiveTimestamp : datetime.datetime
var ApproximateReceiveCount : str
var DeadLetterQueueSourceArn : Optional[str]
var MessageDeduplicationId : Optional[str]
var MessageGroupId : Optional[str]
var SenderId : str
var SentTimestamp : datetime.datetime
var SequenceNumber : Optional[str]
var model_config

class SqsModel (**data: Any)

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Expand source code

class SqsModel(BaseModel):
    Records: Sequence[SqsRecordModel]

Ancestors

pydantic.main.BaseModel

Subclasses

S3SqsEventNotificationModel

Class variables

var Records : Sequence[SqsRecordModel]
var model_config

class SqsMsgAttributeModel (**data: Any)

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Expand source code

class SqsMsgAttributeModel(BaseModel):
    stringValue: Optional[str] = None
    binaryValue: Optional[str] = None
    stringListValues: List[str] = []
    binaryListValues: List[str] = []
    dataType: str

    # context on why it's commented: https://github.com/aws-powertools/powertools-lambda-python/pull/118
    # Amazon SQS supports the logical data types String, Number, and Binary with optional custom data type
    # labels with the format .custom-data-type.
    # https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-message-metadata.html#sqs-message-attributes
    # @validator("dataType")
    # def valid_type(cls, v):  # noqa: VNE001,ERA001 # noqa: ERA001
    #     pattern = re.compile("Number.*|String.*|Binary.*") # noqa: ERA001
    #     if not pattern.match(v): # noqa: ERA001
    #         raise TypeError("data type is invalid") # noqa: ERA001
    #     return v # noqa: ERA001
    #
    # # validate that dataType and value are not None and match
    # @root_validator
    # def check_str_and_binary_values(cls, values): # noqa: ERA001
    #     binary_val, str_val = values.get("binaryValue", ""), values.get("stringValue", "") # noqa: ERA001
    #     data_type = values.get("dataType") # noqa: ERA001
    #     if not str_val and not binary_val: # noqa: ERA001
    #         raise TypeError("both binaryValue and stringValue are missing") # noqa: ERA001
    #     if data_type.startswith("Binary") and not binary_val: # noqa: ERA001
    #         raise TypeError("binaryValue is missing") # noqa: ERA001
    #     if (data_type.startswith("String") or data_type.startswith("Number")) and not str_val: # noqa: ERA001
    #         raise TypeError("stringValue is missing") # noqa: ERA001
    #     return values # noqa: ERA001

Ancestors

pydantic.main.BaseModel

Class variables

var binaryListValues : List[str]
var binaryValue : Optional[str]
var dataType : str
var model_config
var stringListValues : List[str]
var stringValue : Optional[str]

class SqsRecordModel (**data: Any)

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Expand source code

class SqsRecordModel(BaseModel):
    messageId: str
    receiptHandle: str
    body: Union[str, Type[BaseModel], BaseModel]
    attributes: SqsAttributesModel
    messageAttributes: Dict[str, SqsMsgAttributeModel]
    md5OfBody: str
    md5OfMessageAttributes: Optional[str] = None
    eventSource: Literal["aws:sqs"]
    eventSourceARN: str
    awsRegion: str

Ancestors

pydantic.main.BaseModel

Subclasses

S3SqsEventNotificationRecordModel

Class variables

var attributes : SqsAttributesModel
var awsRegion : str
var body : Union[str, Type[pydantic.main.BaseModel], pydantic.main.BaseModel]
var eventSource : Literal['aws:sqs']
var eventSourceARN : str
var md5OfBody : str
var md5OfMessageAttributes : Optional[str]
var messageAttributes : Dict[str, SqsMsgAttributeModel]
var messageId : str
var model_config
var receiptHandle : str