This project is being live streamed at https://www.twitch.tv/ryanjlowe

The goal is to take the Alexa Office Hours video archives from YouTube, create a searchable index in AWS, then expose the search through a custom Alexa Skill.

This skill borrows heavily from this blog post on RSS feeds.

This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI.

The application uses several AWS resources, including Lambda functions and an API Gateway API. These resources are defined in the template.yaml file in this project. You can update the template to add AWS resources through the same deployment process that updates your application code.

The Serverless Application Model Command Line Interface (SAM CLI) is an extension of the AWS CLI that adds functionality for building and testing Lambda applications. It uses Docker to run your functions in an Amazon Linux environment that matches Lambda. It can also emulate your application's build environment and API.

To use the SAM CLI, you need the following tools.

• SAM CLI - Install the SAM CLI
• Python 3 installed
• Docker - Install Docker community edition

To build and deploy your application for the first time, run the following in your shell:

sam build --use-container
sam deploy --guided

To simplify troubleshooting, SAM CLI has a command called sam logs. sam logs lets you fetch logs generated by your deployed Lambda function from the command line. In addition to printing the logs on the terminal, this command has several nifty features to help you quickly find the bug.

NOTE: This command works for all AWS Lambda functions; not just the ones you deploy using SAM.

$ sam logs -n HelloWorldFunction --stack-name unofficial-office-hours-skill --tail

You can find more information and examples about filtering Lambda function logs in the SAM CLI Documentation.

Tests are defined in the tests folder in this project. Use PIP to install the test dependencies and run tests.

unofficial-office-hours-skill$ pip install -r tests/requirements.txt --user
# unit test
unofficial-office-hours-skill$ python -m pytest tests/unit -v
# integration test, requiring deploying the stack first.
# Create the env variable AWS_SAM_STACK_NAME with the name of the stack we are testing
unofficial-office-hours-skill$ AWS_SAM_STACK_NAME=<stack-name> python -m pytest tests/integration -v

To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:

aws cloudformation delete-stack --stack-name unofficial-office-hours-skill

See the AWS SAM developer guide for an introduction to SAM specification, the SAM CLI, and serverless application concepts.

Next, you can use AWS Serverless Application Repository to deploy ready to use Apps that go beyond hello world samples and learn how authors developed their applications: AWS Serverless Application Repository main page