genro-tytx

A lightweight multi-transport typed data interchange system.

TYTX eliminates manual type conversions between Python and JavaScript, and makes switching to MessagePack for better performance as simple as changing a parameter.

You send a Decimal from Python, JavaScript receives a string. You convert it back. Every. Single. Time. TYTX fixes this—types flow automatically between Python and JavaScript, over JSON, XML, or MessagePack.

The Pain You Know

# Your Python API
return {"price": Decimal("99.99"), "due_date": date(2025, 1, 15)}

// Your JavaScript client
const data = await response.json();
// data.price is "99.99" (string) - need to convert
// data.due_date is "2025-01-15" (string) - need to convert

const price = new Decimal(data.price);      // Manual conversion
const dueDate = new Date(data.due_date);    // Manual conversion

This leads to:

• Conversion code scattered everywhere
• Bugs when someone forgets to convert
• Financial calculations with floating-point errors
• Different date formats causing off-by-one-day bugs

The TYTX Solution

# Server - just return native types
return {"price": Decimal("99.99"), "due_date": date(2025, 1, 15)}

// Client - types arrive ready to use
const data = await fetchTytx('/api/order');
data.price      // → Decimal (not string)
data.due_date   // → Date (not string)

Zero conversion code. Types just work.

30-Second Demo

Python:

pip install genro-tytx

from decimal import Decimal
from datetime import date
from genro_tytx import to_tytx, from_tytx

# Encode
data = {"price": Decimal("99.99"), "date": date(2025, 1, 15)}
encoded = to_tytx(data)
# '{"price": "99.99::N", "date": "2025-01-15::D"}::JS'

# Decode
decoded = from_tytx(encoded)
# {"price": Decimal("99.99"), "date": date(2025, 1, 15)}

JavaScript:

npm install genro-tytx big.js

import { fetchTytx } from 'genro-tytx';
import Big from 'big.js';

const result = await fetchTytx('/api/invoice', {
    body: { price: new Big('99.99'), date: new Date() }
});
// result.total → Big (ready to use)

Installation

# Python
pip install genro-tytx

# JavaScript/TypeScript
npm install genro-tytx

# Recommended: decimal library for JS
npm install big.js  # lightweight, good for most cases
# or: npm install decimal.js  # more features

Real-World Example: Order Processing

A typical business scenario: process an order with 8 typed fields, return 6 typed results.

1. The Data

JavaScript Client has order data with proper types:

import Big from 'big.js';

const orderData = {
    unit_price: new Big('149.99'),      // Decimal
    quantity: 3,
    discount: new Big('10.00'),         // Decimal
    order_date: new Date(2025, 0, 15),  // Date
    delivery_date: new Date(2025, 0, 20),
    express: true,
    customer_id: 12345,
    notes: 'Handle with care'
};

// Expects response: { subtotal, tax, shipping, total, ship_date, arrival_date }

Python Server has business logic expecting proper types:

async def process_order(unit_price, quantity, discount, order_date,
                        delivery_date, express, customer_id, notes):
    """Business logic - expects Decimal and date types."""
    subtotal = unit_price * quantity
    tax = subtotal * Decimal('0.22')
    shipping = Decimal('15.00') if express else Decimal('5.00')
    total = subtotal - discount + tax + shipping
    ship_date = order_date + timedelta(days=1 if express else 3)
    return {
        'subtotal': subtotal, 'tax': tax, 'shipping': shipping,
        'total': total, 'ship_date': ship_date, 'arrival_date': delivery_date
    }

---

2. ❌ WITHOUT TYTX: 20 Manual Conversions

JavaScript - must convert to/from strings:

// Send: convert types → strings
const response = await fetch('/api/process_order', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
        unit_price: orderData.unit_price.toString(),           // Decimal → string
        discount: orderData.discount.toString(),               // Decimal → string
        order_date: orderData.order_date.toISOString().slice(0, 10),  // Date → string
        delivery_date: orderData.delivery_date.toISOString().slice(0, 10),
        quantity: orderData.quantity, express: orderData.express,
        customer_id: orderData.customer_id, notes: orderData.notes
    })
});

// Receive: convert strings → types
const json = await response.json();
const result = {
    subtotal: new Big(json.subtotal),     tax: new Big(json.tax),
    shipping: new Big(json.shipping),     total: new Big(json.total),
    ship_date: new Date(json.ship_date),  arrival_date: new Date(json.arrival_date)
};

Python - must convert to/from strings:

@app.post("/api/process_order")
async def handle_order(request: Request):
    json_data = await request.json()

    # Receive: convert strings → types
    unit_price = Decimal(json_data['unit_price'])
    discount = Decimal(json_data['discount'])
    order_date = date.fromisoformat(json_data['order_date'])
    delivery_date = date.fromisoformat(json_data['delivery_date'])

    result = await process_order(unit_price, json_data['quantity'], discount,
        order_date, delivery_date, json_data['express'],
        json_data['customer_id'], json_data['notes'])

    # Send: convert types → strings
    return JSONResponse({
        'subtotal': str(result['subtotal']), 'tax': str(result['tax']),
        'shipping': str(result['shipping']), 'total': str(result['total']),
        'ship_date': result['ship_date'].isoformat(),
        'arrival_date': result['arrival_date'].isoformat()
    })

Total: 20 manual conversions (4 JS→string + 4 string→Python + 6 Python→string + 6 string→JS).

---

3. ✅ WITH TYTX: Zero Conversions

JavaScript:

import { fetchTytx } from 'genro-tytx';

const result = await fetchTytx('/api/process_order', { body: orderData });
console.log(result.total.toFixed(2));  // Big, ready to use

Python:

from genro_tytx import asgi_data, to_tytx

@app.post("/api/process_order")
async def handle_order(request: Request):
    data = await asgi_data(request.scope, request.receive)
    result = await process_order(**data['body'])
    return Response(content=to_tytx(result), media_type='application/vnd.tytx+json')

Total: 0 conversions. Types flow naturally.

Bonus: Switch to MessagePack in One Line

Need binary format for better performance? Just add transport: 'msgpack':

// JSON (default)
const result = await fetchTytx('/api/process_order', { body: orderData });

// MessagePack - same API, binary format
const result = await fetchTytx('/api/process_order', { body: orderData, transport: 'msgpack' });

# Server auto-detects transport from Content-Type header
# No code changes needed!

Supported Types

Python	JavaScript	Wire Format
Decimal	Decimal (big.js)	"99.99::N"
date	Date (midnight UTC)	"2025-01-15::D"
datetime	Date	"2025-01-15T10:30:00.000Z::DHZ"
time	Date (epoch date)	"10:30:00.000::H"

Native JSON types (string, number, boolean, null) pass through unchanged.

When to Use TYTX

Good fit:

• Web apps with forms containing dates/decimals
• Financial applications requiring decimal precision
• APIs that send/receive typed data frequently
• Excel-like grids with mixed types

Not needed:

• APIs that only use strings and integers
• Simple CRUD with no special types
• Already using GraphQL/Protobuf with full type support

Documentation

I want to...	Go to...
Try it in 5 minutes	Quick Start
Use with FastAPI/Flask	HTTP Integration
Understand the wire format	How It Works
See API reference	API Reference
Compare with alternatives	Alternatives

License

Apache License 2.0 - Copyright 2025 Softwell S.r.l.