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Utilities for building and testing AWS applications in Python

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High-level utilities for building and testing AWS applications in Python.



Lambda events can be given data models that are created from the event and context:

from awstin.awslambda import LambdaEvent

class CustomEvent(LambdaEvent):
    def __init__(self, request_id, memory_limit):
        self.request_id = request_id
        self.memory_limit = memory_limit

    def _from_event(cls, event, context):
        request_id = event["requestContext"]["requestId"]
        memory_limit = context["memory_limit_in_mb"]
        return cls(request_id, memory_limit)

Lambda handlers can then be created using the lambda_handler decorator factory, which takes as an input the data model for the lambda event.

from awstin.awslambda import lambda_handler

def handle_custom_event(event):

API Gateway


Authorization Lambdas

A special version of lambda_handler is available for authorization lambdas. The LambdaEvent data model must have resource_arn and principal_id attributes, or a 500 invalid error will be returned. These return one of AuthResponse.ACCEPT, AuthResponse.REJECT, AuthResponse.UNAUTHORIZED, or AuthResponse.INVALID. awstin then formats the result properly.

from awstin.apigateway.auth import auth_handler
from awstin.awslambda import LambdaEvent

class TokenAuthEvent(LambdaEvent):
    def __init__(self, token, resource_arn, principal_id):
        self.token = token
        self.resource_arn = resource_arn
        self.principal_id = principal_id

    def _from_event(cls, event, _context):
        token = event["headers"]["AuthToken"]
        resource_arn = event["methodArn"]
        principal_id = event["requestContext"]["connectionId"]

        return cls(token, resource_arn, principal_id)

def token_auth(auth_event):
    if auth_event.token == "good token":
        return AuthResponse.ACCEPT
    elif auth_event.token == "bad token":
        return AuthResponse.REJECT
    elif auth_event.token == "unauthorized token":
        return AuthResponse.UNAUTHORIZED
        return AuthResponse.INVALID



The DynamoDB class currently gives dict-like access to boto3 Tables and their contents. This requires either the TEST_DYNAMODB_ENDPOINT (for integration testing) or AWS_REGION (for production) environment variable to be set.

from awstin.dynamodb import DynamoDB

dynamodb = DynamoDB()

# List of available tables
tables = dynamodb.list_tables()

# Access a table by name
table1 = dynamodb["my_table"]

# Tables that only have a partition key can be accessed directly by their
# partition key
item1 = table1["an_item"]

# Tables that have partition and sort keys can be accessed by a tuple
table2 = dynamodb["another_table"]
item2 = table2[("hashval", 123)]

# Full primary key access is also available
item3 = table2[{"hashkey_name": "hashval", "sortkey_name": 123}]

Tables can be scanned without worrying about pagination. Table.scan yields items, requesting another page of items lazily only when it's out of items in a page.


For integration testing, a context manager to create and then automatically tear-down a DynamoDB table is provided. The context manager waits for the table to be created/deleted before entering/exiting to avoid testing issues. Hashkey and sortkey info can be provided.

from awstin.dynamodb.testing import temporary_dynamodb_table

with temporary_dynamodb_table("table_name", "hashkey_name") as table:
    item = {
        "hashkey_name": "test_value",
        "another_key": 5,



SNS topics can be retrieved by name and published to with the message directly. This requires either the TEST_SNS_ENDPOINT (for integration testing) or AWS_REGION (for production) environment variable to be set.

from awstin.sns import SNSTopic

topic = SNSTopic("topic-name")
message_id = topic.publish("a message")

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