I'm currently working on a process by which a kinesis stream triggers a lambda function to process a batch of records.  Whenever the `putRecords` method is used with a large amount of records, the call to trigger the lambda will fail b/c the argument list is too long.  The command is:

```
CONTAINER_ID="$(docker create  -e AWS_LAMBDA_FUNCTION_INVOKED_ARN="$AWS_LAMBDA_FUNCTION_INVOKED_ARN" -e AWS_LAMBDA_FUNCTION_NAME="$AWS_LAMBDA_FUNCTION_NAME" -e AWS_LAMBDA_EVENT_BODY="$AWS_LAMBDA_EVENT_BODY" -e AWS_LAMBDA_FUNCTION_VERSION="$AWS_LAMBDA_FUNCTION_VERSION" -e LOCALSTACK_HOSTNAME="$LOCALSTACK_HOSTNAME"  "lambci/lambda:nodejs8.10" "index.handler")"
```

Instead of sending the event body to the lambda via an argument list, the body should be written to a file that is then copied into the docker and then the command should reference the file  in the arguments list.

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return re.sub(r'^%s/(.*)$' % config.TMP_FOLDER,
                    r'%s/\1' % config.HOST_TMP_FOLDER, path)
class LambdaExecutorLocal(LambdaExecutor):
    def _execute(self, func_arn, func_details, event, context=None, version=None):
        lambda_cwd = func_details.cwd
        environment = func_details.envvars.copy()
        
        queue = Queue()
        lambda_function = func_details.function(version)
        def do_execute():
            
            if lambda_cwd:
                os.chdir(lambda_cwd)
            if environment:
                os.environ.update(environment)
            result = lambda_function(event, context)
            queue.put(result)
        process = Process(target=do_execute)