Module aws_lambda_powertools.utilities.parser.models.dynamodb

Classes

class DynamoDBStreamChangedRecordModel (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Expand source code

class DynamoDBStreamChangedRecordModel(BaseModel):
    ApproximateCreationDateTime: Optional[date]
    Keys: Dict[str, Dict[str, Any]]
    NewImage: Optional[Union[Dict[str, Any], Type[BaseModel]]]
    OldImage: Optional[Union[Dict[str, Any], Type[BaseModel]]]
    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/awslabs/aws-lambda-powertools-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: E800
    #     new_img, old_img = values.get("NewImage"), values.get("OldImage") # noqa: E800
    #     stream_type = values.get("StreamViewType") # noqa: E800
    #     if stream_type == "NEW_AND_OLD_IMAGES" and not new_img and not old_img: # noqa: E800
    #         raise TypeError("DynamoDB streams model failed validation, missing both new & old stream images") # noqa: E800,E501
    #     return values # noqa: E800

Ancestors

• pydantic.main.BaseModel
• pydantic.utils.Representation

Class variables

var ApproximateCreationDateTime : Optional[datetime.date]

var Keys : Dict[str, Dict[str, Any]]

var NewImage : Union[Dict[str, Any], Type[pydantic.main.BaseModel], None]

var OldImage : Union[Dict[str, Any], Type[pydantic.main.BaseModel], None]

var SequenceNumber : str

var SizeBytes : int

var StreamViewType : Literal['NEW_AND_OLD_IMAGES', 'KEYS_ONLY', 'NEW_IMAGE', 'OLD_IMAGE']

class DynamoDBStreamModel (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Expand source code

class DynamoDBStreamModel(BaseModel):
    Records: List[DynamoDBStreamRecordModel]

Ancestors

• pydantic.main.BaseModel
• pydantic.utils.Representation

Class variables

var Records : List[DynamoDBStreamRecordModel]

class DynamoDBStreamRecordModel (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

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]

Ancestors

• pydantic.main.BaseModel
• pydantic.utils.Representation

Class variables

var awsRegion : str

var dynamodb : DynamoDBStreamChangedRecordModel

var eventID : str

var eventName : Literal['INSERT', 'MODIFY', 'REMOVE']

var eventSource : Literal['aws:dynamodb']

var eventSourceARN : str

var eventVersion : float

var userIdentity : Optional[UserIdentity]

class UserIdentity (**data: Any)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Expand source code

class UserIdentity(BaseModel):
    type: Literal["Service"]  # noqa: VNE003, A003
    principalId: Literal["dynamodb.amazonaws.com"]

Ancestors

• pydantic.main.BaseModel
• pydantic.utils.Representation

Class variables

var principalId : Literal['dynamodb.amazonaws.com']

var type : Literal['Service']