QUICKSTART.md

🚀 Quick Start Guide

Follow these steps to get your temperature visualization system running in minutes.

Step 1: Install Python Dependencies

cd d:\ISRO-SWOT\Webapp\backend
pip install -r requirements.txt

Step 2: Convert CSV to Parquet (One-time)

# Ensure your CSV files are in d:\ISRO-SWOT\Temp_el_data_15_year\
cd d:\ISRO-SWOT\Webapp\backend
python convert_csv_to_parquet.py

Expected output:

Converting 2009.csv...
  CSV: 113.00 MB → Parquet: 35.40 MB
  Compression: 68.7% reduction
✓ Converted successfully
...

Step 3: Install Frontend Dependencies

cd d:\ISRO-SWOT\Webapp\frontend
npm install

Step 4: Start Backend Server

cd d:\ISRO-SWOT\Webapp\backend
python main.py

Expected output:

INFO:     Started server process
INFO:     Uvicorn running on http://127.0.0.1:8000
INFO:     Loading parquet file index...
INFO:     Total dates indexed: 5475

Keep this terminal open!

Step 5: Start Frontend (New Terminal)

Open a NEW terminal:

cd d:\ISRO-SWOT\Webapp\frontend
npm run dev

Expected output:

VITE v5.0.8  ready in 523 ms

➜  Local:   http://localhost:5173/
➜  press h to show help

Step 6: Open in Browser

Navigate to: http://localhost:5173

---

✅ Verification Checklist

• Backend running at http://127.0.0.1:8000
• Frontend running at http://localhost:5173
• Parquet files exist in Temp_el_data_15_year/
• Browser opened to http://localhost:5173
• Map displays with data points
• Date slider works
• Elevation filter updates map
• Graph shows temperature trend

---

🎮 Basic Usage

Play Animation

1. Click ▶ Play button
2. Watch temperature change over time
3. Click ⏸ Pause to stop

Change Elevation Range

1. Click preset buttons (Low/Mid/High)
2. Or use sliders to set custom range
3. Map and graph update automatically

Jump to Specific Date

1. Use date slider
2. Or click "Jump to date" and select from calendar

Explore Map

• Pan: Click and drag
• Zoom: Scroll wheel or pinch
• Hover: See temperature details

---

🐛 Common Issues

Backend won't start

• Check if Python 3.8+ installed: python --version
• Verify virtual environment activated
• Install dependencies: pip install -r requirements.txt

Frontend won't start

• Check if Node.js installed: node --version
• Delete node_modules and run npm install again
• Check port 5173 not in use

No data showing

• Verify Parquet files in Temp_el_data_15_year/
• Check backend logs for errors
• Open http://127.0.0.1:8000/dates to verify data loaded

Map blank or black

• Update graphics drivers
• Try different browser (Chrome recommended)
• Check browser console (F12) for WebGL errors

---

📞 Next Steps

Once everything works:

1. Experiment with different elevation ranges
2. Try different animation speeds
3. Explore seasonal temperature patterns
4. View the full README.md for advanced features

---

Enjoy exploring your temperature data! 🌡️