Lambda functions for the MOOC Fetcher API Backend.

Setup

Setup AWS CLI and Credentials

• Install AWS CLI and [configure it][1].
• Make sure you setup the credentials in ~/.aws/credentials, as specified in the guide linked above. This will then work for the AWS Javascript SDK as well.

[1]:http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html#cli-config-files)

Downloading dependencies

• Run npm install

Testing locally (end-to-end)

node lambda_functions/ProcessFetchRequest/end_to_end_test.js

This will run an end-to-end test of your lambda function using a dummy context and a dummy event.

Code style

Running ESLint:

npm run lint

Running JSCS:

./node_modules/bin/jscs -x <path>

You can also add the following pre-commit hook (.git/hooks/precommit) to your git config:

#!/bin/sh
npm run lint

Building and Deploying

You can build a lambda function (for e.g. ProcessFetchRequest using:

gulp ProcessFetchRequest:build

To copy the lambda function code in a zipped format to AWS, you can do something like the following (your AWS credentials must have sufficient privileges to do this).

gulp ProcessFetchRequest:upload

This will automatically trigger an build, before performing an upload.