Skip to content

DEPLOY_NOW.md

Latest commit

 

History

History
179 lines (128 loc) · 3.49 KB

DEPLOY_NOW.md

File metadata and controls

179 lines (128 loc) · 3.49 KB

🚀 LARUN API - Ready to Deploy!

✅ PRE-DEPLOYMENT CHECKLIST - ALL COMPLETE!

  • ✅ 8 TinyML Models copied and verified (164 KB total)
  • ✅ railway.json created
  • ✅ Dockerfile ready
  • ✅ cloud_endpoints.py integrated
  • ✅ nodes/registry.yaml updated
  • ✅ Environment variables configured
  • ✅ API code ready in api.py

🎯 DEPLOY NOW (3 Simple Commands)

cd ~/portfolio/larun

# 1. Login to Railway
railway login

# 2. Deploy (this will create a new project automatically)
railway up

# 3. Get your deployment URL
railway domain

Expected Output:

✓ Deployment successful
✓ URL: https://larun-api-production-xxxx.up.railway.app

📋 POST-DEPLOYMENT STEPS

1. Set Environment Variables in Railway Dashboard

Go to Railway dashboard → Your project → Variables

Add these:

SUPABASE_URL=https://mwmbcfcvnkwegrjlauis.supabase.co
SUPABASE_SERVICE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Im13bWJjZmN2bmt3ZWdyamxhdWlzIiwicm9sZSI6InNlcnZpY2Vfcm9sZSIsImlhdCI6MTc2OTg2MTk5MSwiZXhwIjoyMDg1NDM3OTkxfQ.AuKLxPahIKkyyzhIDVUevTw0svYo31uyEhbFOj8I7qE
FRONTEND_URL=https://larun.space

2. Configure Custom Domain (api.larun.space)

Option A: In Railway Dashboard

  1. Go to Settings → Domains
  2. Click "Add Custom Domain"
  3. Enter: api.larun.space
  4. Copy the CNAME record Railway provides

Option B: In Your Domain Registrar Add CNAME record:

Type: CNAME
Name: api
Value: <your-railway-url>.up.railway.app
TTL: 3600

3. Test Deployment

# Get your Railway URL
RAILWAY_URL=$(railway domain)

# Test health endpoint
curl $RAILWAY_URL/health

# Test models endpoint
curl $RAILWAY_URL/api/models

# Expected: JSON response with 8 models listed

4. Update Frontend (Only if not using custom domain)

If you skip custom domain setup, update frontend files:

File: ~/portfolio/larun-space/js/api.js File: ~/portfolio/larun-space/js/app.js

Replace https://api.larun.space with your Railway URL.

🔍 VERIFY DEPLOYMENT

All 8 models should be accessible:

curl https://api.larun.space/api/models | jq '.models[].name'

Expected output:

"Exoplanet Transit Detector"
"Variable Star Classifier"
"Stellar Flare Detector"
"Asteroseismology Analyzer"
"Supernova/Transient Detector"
"Galaxy Morphology Classifier"
"Spectral Type Classifier"
"Microlensing Event Detector"

📊 Monitor Deployment

# Watch logs in real-time
railway logs

# Check deployment status
railway status

🛠️ Troubleshooting

Build Fails

# Check Railway logs
railway logs --build

Common issues:

  • Missing dependencies → Check requirements.txt
  • Port not set → Railway auto-sets $PORT variable

Models Not Loading

# SSH into Railway container
railway run bash

# Check models exist
ls -lh nodes/*/model/*.tflite

API Returns 500

  • Check Railway logs for Python errors
  • Verify environment variables are set
  • Ensure Supabase is accessible

💰 Cost Estimate

Railway Free Tier:

  • $5 credit/month
  • ~500 hours runtime
  • Perfect for testing and low traffic

Railway Hobby ($5/month):

  • $5 usage included
  • Good for production with moderate traffic (1000-5000 requests/day)

✨ You're Ready!

Everything is configured and ready to deploy. Just run:

cd ~/portfolio/larun
railway login
railway up

Then configure the custom domain api.larun.space and your LARUN platform will be fully operational! 🚀