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Code pattern for implementing class-based AWS Lambda handlers in Python
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"""Base class for implementing Lambda handlers as classes. | |
Used across multiple Lambda functions (included in each zip file). | |
Add additional features here common to all your Lambdas, like logging.""" | |
class LambdaBase(object): | |
@classmethod | |
def get_handler(cls, *args, **kwargs): | |
def handler(event, context): | |
return cls(*args, **kwargs).handle(event, context) | |
return handler | |
def handle(self, event, context): | |
raise NotImplementedError |
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"""Implementation of a Lambda handler as a class for a specific Lambda function. | |
The Lambda function is deployed with handler set to MyLambdaClass.handler. | |
Class fields will persist across invocations for a given Lambda container, | |
and so are a good way to implement caching. | |
An instance of the class is created for each invocation, so instance fields can | |
be set from the input without the data persisting.""" | |
from LambdaBase import LambdaBase | |
class MyLambdaClass(LambdaBase): | |
def __init__(self, ...): # implementation-specific args and/or kwargs | |
# implementation | |
def handle(self, event, context): | |
# implementation | |
handler = MyLambdaClass.get_handler(...) # input values for args and/or kwargs |
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Thanks bro