Your ExcelAI application now has ALL the infrastructure needed for full functionality!
- 30+ new formulas added
- Categories: Lookup, Text, Math, Date, Logical, Dynamic Arrays, Financial, Information, Lambda
- Each with syntax, examples, pitfalls, alternatives
- 10 new recipes added
- Categories: Cleaning, Transformation, Analysis, Formatting, Pivot, Automation
- Email validation, percentage analysis, outlier detection, and more
- Free, Pro ($19/mo), Team ($99/mo)
- Feature comparison
- 6-question FAQ
- 30-day guarantee
- Shows first 10 rows before processing
- Column type detection
- Data quality warnings
- Sheet selection
- Statistics display
- User-friendly error library
- Contextual suggestions
- Actionable recovery steps
- Severity levels (error/warning/info)
- Real-time step tracking
- Overall progress bar
- Duration display
- Status icons
- Completion summary
- FastAPI server (
backend/api.py) - File upload endpoint
- Preview endpoint
- Process endpoint
- Download endpoint
- Cleanup cron job
- GPT-4 request parsing
- Fallback to rule-based
- Formula explanations
- Formula modernization
- Clarifying questions
- Complete Prisma schema
- User management
- Workbook tracking
- Job history
- Usage analytics
- Custom recipes
- API keys
- Python Excel processor
- FastAPI integration
- Frontend API client
- Enhanced upload/jobs routes
- Download functionality
- Stripe integration
- Checkout sessions
- Webhook handling
- Subscription management
- Usage tracking
# Frontend dependencies
npm install
# Python backend dependencies
cd backend
pip install -r requirements.txt
cd ..Create .env.local in the root directory:
# Database
DATABASE_URL="postgresql://user:password@localhost:5432/excelai"
# NextAuth
NEXTAUTH_URL="http://localhost:3000"
NEXTAUTH_SECRET="your-secret-key-min-32-characters-long"
# OpenAI
OPENAI_API_KEY="sk-proj-..."
# Stripe
STRIPE_SECRET_KEY="sk_test_..."
STRIPE_PUBLIC_KEY="pk_test_..."
STRIPE_PRICE_ID_PRO="price_..."
STRIPE_PRICE_ID_TEAM="price_..."
STRIPE_WEBHOOK_SECRET="whsec_..."
# Backend API
NEXT_PUBLIC_BACKEND_URL="http://localhost:8000"
# App
NEXT_PUBLIC_APP_URL="http://localhost:3000"# Generate Prisma client
npm run db:generate
# Push schema to database (creates tables)
npm run db:push
# Or run migrations
npm run db:migrate
# Open Prisma Studio to view data
npm run db:studio# In one terminal
cd backend
python api.py
# Server runs on http://localhost:8000# In another terminal
npm run dev
# App runs on http://localhost:3000ExcelAI/
βββ π app/ # Next.js App Router
β βββ page.tsx # Landing page β
β βββ layout.tsx # Root layout β
β βββ providers.tsx # Context providers β
β βββ π workspace/ # Main workspace β
β βββ π formulas/ # Formula atlas β
β βββ π recipes/ # Recipe gallery β
β βββ π pricing/ # Pricing page β
β βββ π api/ # API routes
β βββ upload/ # Original upload
β βββ upload-enhanced/ # With backend integration β
β βββ jobs/ # Original jobs
β βββ jobs-enhanced/ # With full integration β
β βββ auth/[...nextauth]/ # Authentication β
β βββ stripe/ # Payment webhooks β
β
βββ π components/ # React Components
β βββ π home/ # Landing (Hero, Features, etc) β
β βββ π workspace/ # Workspace UI β
β β βββ FileUpload.tsx # With preview modal β
β β βββ FilePreview.tsx # NEW! β
β β βββ CommandInput.tsx # β
β β βββ JobViewer.tsx # With progress indicator β
β β βββ JobHistory.tsx # β
β βββ π formulas/ # Formula components β
β βββ π recipes/ # Recipe components β
β βββ π pricing/ # Pricing component β
β βββ π layout/ # Header, Footer β
β βββ π providers/ # Theme provider β
β βββ π ui/ # Reusable components
β βββ Tabs.tsx # β
β βββ ErrorBoundary.tsx # NEW! β
β βββ ErrorDisplay.tsx # NEW! β
β βββ ProgressIndicator.tsx # NEW! β
β
βββ π lib/ # Utilities & Services
β βββ utils.ts # Helpers β
β βββ formula-data.ts # 80+ formulas β
β βββ recipe-data.ts # 22+ recipes β
β βββ ai-interpreter.ts # Rule-based AI β
β βββ ai-openai.ts # OpenAI integration β
NEW!
β βββ api-client.ts # Backend API client β
NEW!
β βββ db.ts # Database utilities β
NEW!
β βββ stripe.ts # Payment service β
NEW!
β βββ error-messages.ts # Error handling β
NEW!
β
βββ π backend/ # Python Excel Engine
β βββ excel_processor.py # Core engine β
β βββ api.py # FastAPI server β
NEW!
β βββ requirements.txt # Python deps β
β
βββ π prisma/ # Database
β βββ schema.prisma # Complete schema β
NEW!
β
βββ π types/ # TypeScript
β βββ index.ts # All types β
β
βββ π Documentation (Complete!)
βββ README.md # Main docs β
βββ QUICK_START.md # 5-min setup β
βββ PROJECT_SUMMARY.md # Architecture β
βββ DEPLOYMENT.md # Production β
βββ IMPROVEMENTS_LOG.md # Changes log β
βββ STATUS_REPORT.md # Status β
βββ FULL_SETUP_GUIDE.md # This file β
The Python FastAPI backend (backend/api.py) provides these endpoints:
GET / # Health check
POST /api/upload # Upload Excel file
POST /api/preview # Get file preview
POST /api/process # Process with AI
GET /api/download/{id} # Download result
POST /api/parse # Parse request only
DELETE /api/cleanup # Clean old filesUse lib/api-client.ts in your components:
import { apiClient } from "@/lib/api-client";
// Upload file
const result = await apiClient.uploadFile(file);
// Get preview
const preview = await apiClient.getPreview(fileId);
// Process file
const job = await apiClient.processFile(fileId, "Clean data and remove duplicates");
// Download result
await apiClient.downloadFile(jobId, "result.xlsx");Use lib/db.ts for all database operations:
import { db } from "@/lib/db";
// Create job
const job = await db.jobs.create({
userId,
workbookId,
requestText,
plan,
});
// Get user's jobs
const jobs = await db.jobs.findByUser(userId);
// Track usage
await db.usage.track(userId);Use lib/ai-openai.ts for intelligent request parsing:
import { OpenAIInterpreter } from "@/lib/ai-openai";
// Parse request
const result = await OpenAIInterpreter.parseRequest(
"Split names and create pivot by region"
);
// Explain formula
const explanation = await OpenAIInterpreter.explainFormula(
"=XLOOKUP(A2, B:B, C:C, 'Not Found')"
);
// Modernize formula
const modern = await OpenAIInterpreter.modernizeFormula(
"=VLOOKUP(A2, Table, 2, FALSE)"
);Use lib/stripe.ts for payment operations:
import { stripeService, checkSubscriptionLimits } from "@/lib/stripe";
// Create checkout
const session = await stripeService.createCheckoutSession({
userId,
userEmail,
priceId: STRIPE_PLANS.PRO.priceId,
successUrl,
cancelUrl,
});
// Check limits
const check = checkSubscriptionLimits("FREE", {
jobsToday: 3,
fileSize: 5000000,
});docker run --name excelai-postgres -e POSTGRES_PASSWORD=password -p 5432:5432 -d postgres:15cd backend
python api.py
# Server starts on http://localhost:8000npm run dev
# App starts on http://localhost:3000npm run db:studio
# Opens on http://localhost:5555- Node.js dependencies installed
- Python dependencies installed
- DATABASE_URL configured
- NEXTAUTH_SECRET set (32+ characters)
- Backend server running
- OpenAI API key configured
- Stripe keys configured
- OAuth providers configured (Google/Microsoft)
- S3 bucket created (or using local storage)
- Email SMTP configured
- Redis for caching
- CDN for static assets
# Health check
curl http://localhost:8000
# Upload file
curl -X POST http://localhost:8000/api/upload \
-F "file=@sample.xlsx"# Open Prisma Studio
npm run db:studio
# Manually create a test user
# Or use the UI to register# Test in console
node
> const { OpenAIInterpreter } = require('./lib/ai-openai');
> await OpenAIInterpreter.parseRequest("Remove duplicates");# Use test card: 4242 4242 4242 4242
# Any future expiry date
# Any 3-digit CVC| Feature | Status | Works Without Backend |
|---|---|---|
| Landing Page | β Complete | Yes |
| Formula Atlas | β Complete | Yes |
| Recipe Gallery | β Complete | Yes |
| Pricing Page | β Complete | Yes |
| File Upload UI | β Complete | Yes (demo) |
| File Preview | β Complete | Needs backend |
| Job Processing | β Complete | Needs backend |
| Progress Tracking | β Complete | Yes (demo) |
| Error Handling | β Complete | Yes |
| Database | β Complete | Needs PostgreSQL |
| OpenAI Parsing | β Complete | Needs API key |
| Payments | β Complete | Needs Stripe |
| Authentication | β Complete | Needs OAuth |
components/pricing/PricingSection.tsx- Pricing pagecomponents/workspace/FilePreview.tsx- File preview modalcomponents/ui/ErrorBoundary.tsx- Error boundarycomponents/ui/ErrorDisplay.tsx- Error messagescomponents/ui/ProgressIndicator.tsx- Progress tracking
app/api/upload-enhanced/route.ts- Enhanced uploadapp/api/jobs-enhanced/route.ts- Enhanced jobsapp/api/stripe/checkout/route.ts- Stripe checkoutapp/api/stripe/webhook/route.ts- Stripe webhooks
backend/api.py- FastAPI server
lib/api-client.ts- Backend API clientlib/ai-openai.ts- OpenAI integrationlib/db.ts- Database utilitieslib/stripe.ts- Payment servicelib/error-messages.ts- Error handling
prisma/schema.prisma- Complete database schema
IMPROVEMENTS_LOG.md- Implementation logSTATUS_REPORT.md- Status summaryFULL_SETUP_GUIDE.md- This file
Add to your package.json (already done):
"dependencies": {
"@prisma/client": "^5.19.0",
"openai": "^4.56.0",
"stripe": "^16.8.0",
// ... existing deps
},
"devDependencies": {
"prisma": "^5.19.0",
// ... existing deps
}Python requirements (already in backend/requirements.txt):
openpyxl==3.1.2
pandas==2.1.4
fastapi==0.109.0
uvicorn==0.25.0
python-multipart==0.0.6
1. User uploads file (FileUpload.tsx)
β
2. POST /api/upload-enhanced β Python backend /api/upload
β
3. File saved, metadata returned
β
4. FilePreview shows first 10 rows
β
5. User confirms and types request
β
6. POST /api/jobs-enhanced
β
7. OpenAI parses request β Action plan
β
8. Python backend /api/process β Executes plan
β
9. JobViewer shows real-time progress
β
10. Result saved to database
β
11. User downloads via GET /api/download/{jobId}
-
Create Stripe Account
- Go to stripe.com
- Create account
- Get test API keys
-
Create Products
# In Stripe Dashboard: Products β Add Product - "ExcelAI Pro" - $19/month - "ExcelAI Team" - $99/month
-
Get Price IDs
- Copy price IDs from each product
- Add to
.env.local:STRIPE_PRICE_ID_PRO="price_..." STRIPE_PRICE_ID_TEAM="price_..."
-
Set Up Webhook
# In Stripe Dashboard: Developers β Webhooks β Add endpoint URL: https://yourdomain.com/api/stripe/webhook Events to listen for: - checkout.session.completed - customer.subscription.updated - customer.subscription.deleted - invoice.payment_succeeded - invoice.payment_failed -
Test Mode
- Use test keys (sk_test_...)
- Test card: 4242 4242 4242 4242
- Any future date, any CVC
-
Get API Key
- Go to platform.openai.com
- Create API key
- Add to
.env.local:OPENAI_API_KEY="sk-proj-..."
-
Set Usage Limits (Recommended)
- Set monthly budget in OpenAI dashboard
- Monitor usage
- Use fallback to rule-based parser
# Install PostgreSQL
# Windows: Download from postgresql.org
# Mac: brew install postgresql
# Linux: sudo apt-get install postgresql
# Create database
psql -U postgres
CREATE DATABASE excelai;
\q
# Update .env.local
DATABASE_URL="postgresql://postgres:password@localhost:5432/excelai"
# Run migrations
npm run db:migrateSupabase (Free tier available):
# Go to supabase.com
# Create project
# Copy connection string
# Add to .env.localNeon (Free tier available):
# Go to neon.tech
# Create project
# Copy connection stringYou can enable/disable features based on what's configured:
// lib/config.ts (create this)
export const features = {
realProcessing: !!process.env.NEXT_PUBLIC_BACKEND_URL,
openAI: !!process.env.OPENAI_API_KEY,
payments: !!process.env.STRIPE_SECRET_KEY,
database: !!process.env.DATABASE_URL,
};
// Use in components
if (features.realProcessing) {
// Call backend
} else {
// Show demo
}# Check if running
curl http://localhost:8000
# Check logs
python backend/api.py# Test connection
npx prisma db pull
# Reset database
npx prisma migrate reset# In backend/api.py, update:
app.add_middleware(
CORSMiddleware,
allow_origins=["http://localhost:3000"], # Your frontend URL
)// Increase timeout or use fallback
// Fallback to rule-based parser (already implemented)// All API routes log to console
// In production, use:
// - Sentry for error tracking
// - LogRocket for session replay
// - Vercel Analytics for metrics# Use Prisma Studio
npm run db:studio
# Or direct SQL
psql $DATABASE_URL
SELECT * FROM "Job" ORDER BY "startedAt" DESC LIMIT 10;# Stripe Dashboard:
# - View all transactions
# - Monitor subscriptions
# - See revenue metricsBefore deploying to production:
- Change all secrets in
.env - Enable Stripe live mode
- Configure CORS properly
- Enable rate limiting
- Add CAPTCHA to uploads
- Set up SSL/HTTPS
- Enable Redis caching
- Configure CDN
- Optimize images
- Enable gzip compression
- Set up auto-scaling
- Configure Sentry
- Set up uptime monitoring
- Enable error alerts
- Track analytics
- Monitor costs
// In your component
const handleProcess = async (file: File, request: string) => {
try {
// 1. Upload
const upload = await apiClient.uploadFile(file);
// 2. Preview
const preview = await apiClient.getPreview(upload.fileId);
// Show preview modal
// 3. Process
const result = await apiClient.processFile(upload.fileId, request);
// 4. Download
await apiClient.downloadFile(result.jobId, `processed_${file.name}`);
} catch (error) {
// Handle error
}
};// In pricing page
const handleSubscribe = async (plan: "PRO" | "TEAM") => {
const response = await fetch("/api/stripe/checkout", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ userId, userEmail, plan }),
});
const { url } = await response.json();
window.location.href = url; // Redirect to Stripe
};β
Browse 80+ formulas
β
Explore 22+ recipes
β
View pricing
β
Upload files (UI)
β
See previews (demo)
β
View progress (demo)
β
Real file processing (+ backend)
β
Smart AI parsing (+ OpenAI)
β
User accounts (+ database)
β
Payments (+ Stripe)
β
Full history (+ database)
- Test Locally: Run both frontend and backend
- Configure Services: Add API keys as needed
- Deploy Backend: AWS Lambda, Railway, or Render
- Deploy Frontend: Vercel (recommended)
- Go Live: Switch to production keys
Everything is built and ready! Just add your API keys and deploy! π