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Convert Function to Lambda

This function works for me as expected in python. How to convert it to AWS Lambda function?

def mymailgun(url): import urllib2 myfile=urllib2.urlopen(url) import requests print requests.post("https://api.mailgun.net/v3/XXX.mailgun.org/messages", auth=("api", "key-XXX"), files=[("attachment", myfile) #("attachment", open("files/test.txt")) ], data={"from": "Excited User <excited-user@example.com>", "to": "XXX@gmail.com", "cc": "YYY@yahoo.com", "bcc": "ZZZ@hotmail.com", "subject": "Hello", "text": "Testing some awesomness with attachments!", "html": myfile})
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python aws-lambda
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Your code should follow the Lambda Function Programmer, and it looks like you will need to modify your code a bit. Your Python code must identify one of its functions as a handler. This is done as follows:

 def handler_name(event, context): ... return some_value

From the official guide:

event-AWS Lambda uses this parameter to pass event data to the handler. This parameter is typically of type Python. It can also be listed, str, int, float or NoneType.

context-AWS Lambda uses this parameter to provide runtime information to your handler. This parameter is of type LambdaContext. If desired, the handler can return a value. What happens to the returned value depends on the type of call you use when calling the lambda Function:

If you use the RequestResponse call type (synchronous execution), AWS Lambda returns the result of the Python function call to the client calling the Lambda function (in the HTTP response to the call request serialized in JSON). For example, the AWS Lambda console uses the RequestResponse call type, so when you test the function call using the console, the console will display the return value.

  • If the handler returns nothing, AWS Lambda returns null.

  • If you use the type of event call (asynchronous execution), the value is discarded.

With these changes, the first step would be to package the code along with any dependencies in the deployment package. For this you must create

.zip as follows.

First create a directory for your package. In this case, you can call it MailgunScript or something similar. Save all Python source files inside this directory at the root level.

You can use the pip command to install any necessary libraries, such as queries and urllib2 libraries, into the directory of your choice:

 pip install requests -t /absolutePathTo/MailgunScript pip install urllib2 -t /absolutePathTo/MailgunScript

Finally, you must create the .zip archive from the contents of this directory, and not from the directory itself.

You are now ready to turn your deployment package into a Lambda feature. Log in to the AWS management console and select Create a Lambda Function . If you are prompted to select a drawing, you can select the default scheme hello-world and continue downloading the deployment package and fill in the remaining fields as needed.

You can then test the function simply by returning to the main AWS management console, selecting the function and clicking test . Alternatively, you can manually call the new Lambda function from the command line interface with the following command:

 aws lambda invoke \ --region yourRegion \ --function-name yourFunctionName \ --payload '{"url"}' \ --invocation-type RequestResponse \ /tmp/response

This will execute your function and return a response to /tmp/response for verification.

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You need to configure the function in lambda function mode. As the doumentation says:

 def handler_name(event, context): return some_value

event - AWS Lambda uses this parameter to pass event data to the handler. This parameter is typically of type Python. It can also be a list, type str, int, float or NoneType.

context - AWS Lambda uses this parameter to provide runtime information to your handler. This parameter is of type LambdaContext.

Checking the code as a lambda function:

CLI command to create a lambda function:

 aws lambda create-function \ --region us-west-2 \ --function-name HelloPython \ --zip-file fileb://deployment-package.zip \ --role arn:aws:iam::account-id:role/lambda_basic_execution \ --handler hello_python.my_handler \ --runtime python2.7 \ --timeout 15 \ --memory-size 512

For more information on lambda functions: click here and here . :)

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