Module aws_lambda_powertools.utilities.parser.models.sqs
Expand source code
from datetime import datetime
from typing import Dict, List, Optional
from pydantic import BaseModel
from ..types import Literal
class SqsAttributesModel(BaseModel):
ApproximateReceiveCount: str
ApproximateFirstReceiveTimestamp: datetime
MessageDeduplicationId: Optional[str]
MessageGroupId: Optional[str]
SenderId: str
SentTimestamp: datetime
SequenceNumber: Optional[str]
AWSTraceHeader: Optional[str]
class SqsMsgAttributeModel(BaseModel):
stringValue: Optional[str]
binaryValue: Optional[str]
stringListValues: List[str] = []
binaryListValues: List[str] = []
dataType: str
# context on why it's commented: https://github.com/awslabs/aws-lambda-powertools-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,E800 # noqa: E800
# pattern = re.compile("Number.*|String.*|Binary.*") # noqa: E800
# if not pattern.match(v): # noqa: E800
# raise TypeError("data type is invalid") # noqa: E800
# return v # noqa: E800
#
# # validate that dataType and value are not None and match
# @root_validator
# def check_str_and_binary_values(cls, values): # noqa: E800
# binary_val, str_val = values.get("binaryValue", ""), values.get("stringValue", "") # noqa: E800
# data_type = values.get("dataType") # noqa: E800
# if not str_val and not binary_val: # noqa: E800
# raise TypeError("both binaryValue and stringValue are missing") # noqa: E800
# if data_type.startswith("Binary") and not binary_val: # noqa: E800
# raise TypeError("binaryValue is missing") # noqa: E800
# if (data_type.startswith("String") or data_type.startswith("Number")) and not str_val: # noqa: E800
# raise TypeError("stringValue is missing") # noqa: E800
# return values # noqa: E800
class SqsRecordModel(BaseModel):
messageId: str
receiptHandle: str
body: str
attributes: SqsAttributesModel
messageAttributes: Dict[str, SqsMsgAttributeModel]
md5OfBody: str
md5OfMessageAttributes: Optional[str]
eventSource: Literal["aws:sqs"]
eventSourceARN: str
awsRegion: str
class SqsModel(BaseModel):
Records: List[SqsRecordModel]
Classes
class SqsAttributesModel (**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 SqsAttributesModel(BaseModel): ApproximateReceiveCount: str ApproximateFirstReceiveTimestamp: datetime MessageDeduplicationId: Optional[str] MessageGroupId: Optional[str] SenderId: str SentTimestamp: datetime SequenceNumber: Optional[str] AWSTraceHeader: Optional[str]
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var AWSTraceHeader : Union[str, NoneType]
var ApproximateFirstReceiveTimestamp : datetime.datetime
var ApproximateReceiveCount : str
var MessageDeduplicationId : Union[str, NoneType]
var MessageGroupId : Union[str, NoneType]
var SenderId : str
var SentTimestamp : datetime.datetime
var SequenceNumber : Union[str, NoneType]
class SqsModel (**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 SqsModel(BaseModel): Records: List[SqsRecordModel]
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var Records : List[SqsRecordModel]
class SqsMsgAttributeModel (**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 SqsMsgAttributeModel(BaseModel): stringValue: Optional[str] binaryValue: Optional[str] stringListValues: List[str] = [] binaryListValues: List[str] = [] dataType: str # context on why it's commented: https://github.com/awslabs/aws-lambda-powertools-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,E800 # noqa: E800 # pattern = re.compile("Number.*|String.*|Binary.*") # noqa: E800 # if not pattern.match(v): # noqa: E800 # raise TypeError("data type is invalid") # noqa: E800 # return v # noqa: E800 # # # validate that dataType and value are not None and match # @root_validator # def check_str_and_binary_values(cls, values): # noqa: E800 # binary_val, str_val = values.get("binaryValue", ""), values.get("stringValue", "") # noqa: E800 # data_type = values.get("dataType") # noqa: E800 # if not str_val and not binary_val: # noqa: E800 # raise TypeError("both binaryValue and stringValue are missing") # noqa: E800 # if data_type.startswith("Binary") and not binary_val: # noqa: E800 # raise TypeError("binaryValue is missing") # noqa: E800 # if (data_type.startswith("String") or data_type.startswith("Number")) and not str_val: # noqa: E800 # raise TypeError("stringValue is missing") # noqa: E800 # return values # noqa: E800
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var binaryListValues : List[str]
var binaryValue : Union[str, NoneType]
var dataType : str
var stringListValues : List[str]
var stringValue : Union[str, NoneType]
class SqsRecordModel (**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 SqsRecordModel(BaseModel): messageId: str receiptHandle: str body: str attributes: SqsAttributesModel messageAttributes: Dict[str, SqsMsgAttributeModel] md5OfBody: str md5OfMessageAttributes: Optional[str] eventSource: Literal["aws:sqs"] eventSourceARN: str awsRegion: str
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var attributes : SqsAttributesModel
var awsRegion : str
var body : str
var eventSource : Literal['aws:sqs']
var eventSourceARN : str
var md5OfBody : str
var md5OfMessageAttributes : Union[str, NoneType]
var messageAttributes : Dict[str, SqsMsgAttributeModel]
var messageId : str
var receiptHandle : str