Module aws_lambda_powertools.utilities.parser.models.dynamodb
Classes
class DynamoDBStreamChangedRecordModel (**data: Any)-
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class DynamoDBStreamChangedRecordModel(BaseModel): ApproximateCreationDateTime: Optional[datetime] = None Keys: Dict[str, Any] NewImage: Optional[Union[Dict[str, Any], Type[BaseModel], BaseModel]] = None OldImage: Optional[Union[Dict[str, Any], Type[BaseModel], BaseModel]] = None SequenceNumber: str SizeBytes: int StreamViewType: Literal["NEW_AND_OLD_IMAGES", "KEYS_ONLY", "NEW_IMAGE", "OLD_IMAGE"] # context on why it's commented: https://github.com/aws-powertools/powertools-lambda-python/pull/118 # since both images are optional, they can both be None. However, at least one must # exist in a legal model of NEW_AND_OLD_IMAGES type # @root_validator # def check_one_image_exists(cls, values): # noqa: ERA001 # new_img, old_img = values.get("NewImage"), values.get("OldImage") # noqa: ERA001 # stream_type = values.get("StreamViewType") # noqa: ERA001 # if stream_type == "NEW_AND_OLD_IMAGES" and not new_img and not old_img: # noqa: ERA001 # raise TypeError("DynamoDB streams model failed validation, missing both new & old stream images") # noqa: ERA001,E501 # return values # noqa: ERA001 @field_validator("Keys", "NewImage", "OldImage", mode="before") def deserialize_field(cls, value): return {k: _DESERIALIZER.deserialize(v) for k, v in value.items()}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__andModel.__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-coreSchemaSerializerused to dump instances of the model. __pydantic_validator__- The
pydantic-coreSchemaValidatorused 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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var ApproximateCreationDateTime : datetime.datetime | Nonevar Keys : Dict[str, Any]var NewImage : Dict[str, Any] | Type[pydantic.main.BaseModel] | pydantic.main.BaseModel | Nonevar OldImage : Dict[str, Any] | Type[pydantic.main.BaseModel] | pydantic.main.BaseModel | Nonevar SequenceNumber : strvar SizeBytes : intvar StreamViewType : Literal['NEW_AND_OLD_IMAGES', 'KEYS_ONLY', 'NEW_IMAGE', 'OLD_IMAGE']var model_config
Static methods
def deserialize_field(value)
class DynamoDBStreamModel (**data: Any)-
Expand source code
class DynamoDBStreamModel(BaseModel): Records: List[DynamoDBStreamRecordModel]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__andModel.__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-coreSchemaSerializerused to dump instances of the model. __pydantic_validator__- The
pydantic-coreSchemaValidatorused 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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var Records : List[DynamoDBStreamRecordModel]var model_config
class DynamoDBStreamRecordModel (**data: Any)-
Expand source code
class DynamoDBStreamRecordModel(BaseModel): eventID: str eventName: Literal["INSERT", "MODIFY", "REMOVE"] eventVersion: float eventSource: Literal["aws:dynamodb"] awsRegion: str eventSourceARN: str dynamodb: DynamoDBStreamChangedRecordModel userIdentity: Optional[UserIdentity] = NoneUsage 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__andModel.__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-coreSchemaSerializerused to dump instances of the model. __pydantic_validator__- The
pydantic-coreSchemaValidatorused 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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var awsRegion : strvar dynamodb : DynamoDBStreamChangedRecordModelvar eventID : strvar eventName : Literal['INSERT', 'MODIFY', 'REMOVE']var eventSource : Literal['aws:dynamodb']var eventSourceARN : strvar eventVersion : floatvar model_configvar userIdentity : UserIdentity | None
class UserIdentity (**data: Any)-
Expand source code
class UserIdentity(BaseModel): type: Literal["Service"] # noqa: VNE003, A003 principalId: Literal["dynamodb.amazonaws.com"]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__andModel.__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-coreSchemaSerializerused to dump instances of the model. __pydantic_validator__- The
pydantic-coreSchemaValidatorused 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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- pydantic.main.BaseModel
Class variables
var model_configvar principalId : Literal['dynamodb.amazonaws.com']var type : Literal['Service']