Personal Fitness Bot

Quick Summary

• I am building a fitness bot using python, aws, and twilio SMS that I will be able to text on any given day and will receive a response with a random workout to complete

• This is a serverless environment so AWS will be in use

Steps To Run

Early Steps

• set up your twilio account
  
  • https://www.twilio.com/docs/sms/quickstart/python
• make sure you have an AWS account
  
  • https://aws.amazon.com/getting-started/
• enable your AWS CLI
  
  • https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-welcome.html

Python

• Initialize the Virtual Environment
  

  • python3 -m venv environment-name

• Implement the Required Packages

  • see requirements.txt file

• Activate the Environment
  

  • source environment-name/bin/activate

• Install the Dependencies
  

  • pip3 install -r requirements.txt

• Create __send_sms.py__ file for Twilio implementation

  • this file will be in accordance with the twilio walk though mentioned above
  • do not forget to run pip install twilio at the end

• Write the AWS Lambda Function

  • refer to __lambda_handler.py__ file
  • this will handle the messages
  • Flask is used to maintain the context of the conversation throughout the interaction
    • messages received -> Flask identifies the context -> proper response is kicked back

• Create __exercise_inventory.json__ as your nonrelational database

  • this is used to hold your variety of categorical workouts to construct a full workout upon request
  • this is needed to carry out the build_workout function in the __lambda.handler.py__ file
  • the history of the workouts will be stored in AWS's DynamoDB

• Set up the AWS Environment

  • setup the AWS serverless infrastructure
    • a DynamoDB database is required to carry out the write_workout_to_dynamo function
      • name the table whatever you desire
      • the primary key will be a partition key named "workout_user"
      • the sort key will be named "exercise_time"
  • since the code with be deployed to AWS as a Lambda function, Zappa is used to assist in this
    • Zappa will setup the leftover serverless infrastructure
      • includes: IAM roles, Lambda function, & API Gateway
    • refer to __twilio-fit-iam-policy.json__ file
      • relevant documentation is located here: https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements.html
    • create __zappa_settings.json__
      • this is the setup for the deployment configuration for Zappa
      • update zappa as necessary
      • update django as necessary

• Deploy to the Cloud

  • from the CLI
    • enter zappa deploy fitness-bot
      • "fitness-bot" is used here because that's the name given to the deployment in zappa_settings.json
        • if changes are made, run zappa update fitness-bot