RPE10

RPE10 is a fitness application for athletes to program their own workouts and track performance metrics such as average volume and RPE (rate of perceived exertion). RPE10's goal is replace the traditional spreadsheets that are often used by coaches to communicate workout programs to their athletes.

Technologies Used

RPE10 is built with React / Redux on the frontend, Python / Flask on the server, and a PostgreSQL database.

Getting started

Clone this repository

git clone git@github.com:ethanchen7/RPE10.git

Install dependencies

pipenv install --dev -r dev-requirements.txt && pipenv install -r requirements.txt

Create a .env file based on the example with proper settings for your development environment
Setup your PostgreSQL user, password and database and make sure it matches your .env file
Start your pipenv shell, migrate your database, seed your database, and run your flask app
```
pipenv shell
```
```
flask db upgrade
```
```
flask seed all
```
```
flask run
```
Open up another terminal and CD into /react-app and run the React app.
```
npm start
```

Features Highlight

Display of Performance Metrics

Average volume and RPE per week are displayed on the dashboard when the user logs in. The chart is rendered through the Chart.js library, and volume and RPE are calculated as hybrid methods/properties of each Week model instance.

Volume is calculated as (weight * sets * reps) and is a metric used to understand the total load/stress being placed on an athlete's muscles. RPE (rate of perceived exertion) is simply an average of the RPE numbers reported per exercise. RPE is used to determine the fatigue involved with completing that exercise.

Full CRUD of Blocks, Weeks, Days, and Exercises

Athletes have access to dynamically sized tables and auto-updating fields for convenient programming. Fields can be left blank to finish later, or filled to completion and displayed on their block summary. Average volume and RPE metrics are calculated automatically through the backend upon instantiation of new exercises, days, and weeks.

Conclusion

This application is the capstone project for my 24 weeks at App Academy. During my time at App Academy, I have developed the abilities to:

build a complete backend server with RESTful APIs (Express, Flask)
communicate and save data through databases and object relational mapping tools (PostgreSQL, Sequelize, SQLAlchemy)
create user interfaces and client functionality through frontend development (Vanilla JS, Pug/Jinja, React)
effectively store, manipulate, and display data to the client through state management (Redux)

Particularly in RPE10, I was able to:

implement a chat feature through Flask socket.io
experiment with charting libraries such as Chart.js and react charts
calculate and store volume and RPE statistics as a property of Object instances (server methods as opposed to frontend rendering)
create dynamically rendering tables that would update data onBlur (upon leaving the input fields)
design entire UI/UX

What's Next

Implementing websockets for a chat feature among users on the platform
Adding workouts to your own calendar through Google Calendar API for easy viewing on-the-go
Separating Coach / Athlete personas to allow coaches to have clients and program for them using RPE10
Find nearby gyms with Google Maps API
Mobile application