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[datetime] = None
    Keys: Dict[str, 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

Ancestors

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

Class variables

var ApproximateCreationDateTime : Optional[datetime.datetime]
var Keys : Dict[str, Dict[str, Any]]
var NewImage : Union[Dict[str, Any], Type[pydantic.main.BaseModel], pydantic.main.BaseModel, ForwardRef(None)]
var OldImage : Union[Dict[str, Any], Type[pydantic.main.BaseModel], pydantic.main.BaseModel, ForwardRef(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] = None

Ancestors

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

Class variables

var awsRegion : str
var dynamodbDynamoDBStreamChangedRecordModel
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']