A full-stack Java (Spring Boot) + gRPC + Python + React.ts application to log and visualize workout sessions, track progress over time, and get progress insights.

• User registration and login with JWT authentication
• Exercise database preloaded with 1000+ entries with various muscle groups
• Secure API endpoints for:
  • Fetching filtered/unfiltered exercises
  • Logging workouts tied to authenticated users
  • Retrieving workout history per user
• Caffeine caching for improved performance (65% throughput gain on GET /api/exercises)
• Clean RESTful architecture with DTO projection to limit unnecessary data transfer

• Web microservice for day-wise and muscle-wise volume distribution calculation.
• Communicates via a gRPC connection with the Spring application.

• Authentication system with login/register pages
• JWT token storage in localStorage and context-based auth state
• Dashboard:
  • Greeting for logged-in user
  • Workout history display (linked to user)
  • Add new workout form
  • Past Week Data Analysis Component with Day-wise and Muscle-wise distributions

• Integrated k6 scripts for load testing API endpoints
• Compared performance before and after caching

• Some kind of progress curve on the user's workout data
• Benchmarking REST vs gRPC
• Dockerizing the entire stack for easy deployment

• Java 17+
• Node.js 18+
• Docker + Docker Compose
• PostgreSQL (or let Docker run it)

1. Clone the repo:

   git clone https://github.com/reckadon/workout-tracker.git
   cd workout-tracker/backend

2. Run PostgreSQL in Docker (if not installed locally):

   docker-compose up -d

   You can find the docker-compose.yml in the root directory to set up PostgreSQL.
3. Configure application.properties with your DB credentials

   spring.datasource.url=jdbc:postgresql://localhost:5432/workoutdb
   spring.datasource.username=postgres
   spring.datasource.password=yourpassword

4. Build and run the Spring Boot app:

    ./mvnw spring-boot:run

   or by using Intellij/Eclipse run configurations. (make sure to set VM options if needed, and generate gRPC classes using ./mvnw clean compile)

To build a jar:

./mvnw clean package

Run the jar:

java -Duser.timezone=Asia/Kolkata -jar target/WorkoutTracker-0.0.1-SNAPSHOT.war

1. To fix: Caused by: org.postgresql.util.PSQLException: FATAL: invalid value for parameter "TimeZone": "Asia/Calcutta"
   Add -Duser.timezone=Asia/Kolkata to your VM options in your IDE or run command.

Open to feature ideas, performance tweaks, and frontend improvements!