AWS Lambda and python numpy module

Question

I am trying to import a python deployment package in aws lambda. The python code uses numpy. I followed the deployment package instructions for virtual env but it still gave

Answer 1

The easiest way is to use AWS Cloud9, there is no need to start EC2 instances and prepare deployment packages.

Step 1: start up Cloud9 IDE

• Go to the AWS console and select the Cloud9 service.
• Create environment
• enter Name
• Environment settings (consider using t2.small instance type, with the default I had sometimes problems to restart the environment)
• Review
• click Create environment

Step 2: create Lambda function

• Create Lambda Function (bottom of screen)
• enter Function name and Application name
• Select runtime (Python 3.6) and blueprint (empty-python)
• Function trigger (none)
• Create serverless application (keep defaults)
• Finish
• wait couple of seconds for the IDE to open

Step 3: install Numpy

• at the bottom of the screen there is a command prompt

• go to the Application folder, for me this is

  cd App
  

• install the package (we have to use pip from the virtual environment, because the default pip points to /usr/bin/pip and this is python 2.7)

  venv/bin/pip install numpy -t .
  

Step4: test installation

• you can test the installation by editing the lambda_function.py file:

  import numpy as np
  def lambda_handler(event, context):
      return np.sin(1.0)
  

• save the changes and click the green Run button on the top of the screen

• a new tab should appear, now click the green Run button inside the tab

• after the Lambda executes I get:

  Response
  0.8414709848078965
  

Step 5: deploy Lambda function

• on the right hand side of the screen select your Lambda function
• click the upwards pointing arrow to deploy
• go to the AWS Lambda service tab

• the Lambda function should be visible, the name has the format

  cloud9-ApplicationName-FunctionName-RandomString