Strava Report Generator

A serverless application using python3, Dynamo DB, AWS Secrets Manager, SNS & S3

Uses activity data from Strava APIs to generate reports for an athlete Uses access tokens to authorize access to the APIs Runs on a schedule (every hour? TBD) to pull down the latest activities and store them in a DDB table All reports are generated from data held in DDB Any new activities cause the reports to be re-generated Reports are published to a public S3 bucket for presentation

Uses docker to build packages compatible with Lambda service

Cron expressions syntax

cron(Minutes Hours Day-of-month Month Day-of-week Year)

All fields are required and time zone is UTC only.

Field	Values	Wildcards
Minutes	0-59	, - * /
Hours	0-23	, - * /
Day-of-month	1-31	, - * ? / L W
Month	1-12 or JAN-DEC	, - * /
Day-of-week	1-7 or SUN-SAT	, - * ? / L #
Year	192199	, - * /

In below example, we use cron syntax to define schedule event that will trigger our cronHandler function every second minute every Monday through Friday

functions:
  cronHandler:
    handler: handler.run
    events:
      - schedule: cron(0/2 * ? * MON-FRI *)

Detailed information about cron expressions in available in official AWS docs.

Usage

Deployment

This example is made to work with the Serverless Framework dashboard, which includes advanced features such as CI/CD, monitoring, metrics, etc.

In order to deploy with dashboard, you need to first login with:

serverless login

and then perform deployment with:

serverless deploy

After running deploy, you should see output similar to:

Deploying aws-python-scheduled-cron-project to stage dev (us-east-1)

✔ Service deployed to stack aws-python-scheduled-cron-project-dev (205s)

functions:
  rateHandler: aws-python-scheduled-cron-project-dev-rateHandler (2.9 kB)
  cronHandler: aws-python-scheduled-cron-project-dev-cronHandler (2.9 kB)

There is no additional step required. Your defined schedules becomes active right away after deployment.

Local invocation

In order to test out your functions locally, you can invoke them with the following command:

serverless invoke local --function rateHandler

After invocation, you should see output similar to:

INFO:handler:Your cron function aws-python-scheduled-cron-dev-rateHandler ran at 15:02:43.203145

Bundling dependencies

In case you would like to include 3rd party dependencies, you will need to use a plugin called serverless-python-requirements. You can set it up by running the following command:

serverless plugin install -n serverless-python-requirements

Running the above will automatically add serverless-python-requirements to plugins section in your serverless.yml file and add it as a devDependency to package.json file. The package.json file will be automatically created if it doesn't exist beforehand. Now you will be able to add your dependencies to requirements.txt file (Pipfile and pyproject.toml is also supported but requires additional configuration) and they will be automatically injected to Lambda package during build process. For more details about the plugin's configuration, please refer to official documentation.