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Summary

You can build a fully mock RF Controls data-feed system using a Python FastAPI backend that simulates both REST endpoints and STOMP-over-WebSocket streams, and a React frontend that subscribes to live tag events and renders them on a map and in a table. The mock backend will generate tag reads for two antennas across five zones—including a “Point of Sale” zone—and enrich each read with product metadata (EPC → SKU/category). On the frontend, @stomp/stompjs (or rx-stomp via stomp-js) will handle the real-time feed, React Leaflet will draw zones and plot item positions as interactive dots, and TanStack Table (formerly React Table) will display a live-updating table of tag IDs, categories, and SKUs. This proof-of-concept requires no Java/Angular or Next.js—plain React + FastAPI suffices.

1. Architecture & Data Model

1.1 Zone, Antenna & Product Metadata

  • Antennas: ant1, ant2
  • Zones (e.g., zone1…zone5), with zone5 marked as the “Point of Sale” target
  • Products: Mapping of tag EPCs to { sku, category }, e.g. {"EPC0001":{"sku":"SKU123","category":"electronics"}}

1.2 Mock Data Patterns

  • Tag Reads: JSON objects { epc, antennaId, zoneId, timestamp } emitted via STOMP frames.

  • REST Endpoints:

    • GET /api/zones → [{"id":"zone1","name":"Electronics Aisle",…}, …]
    • GET /api/products → [{ epc, sku, category }]

2. Python Mock Backend with FastAPI

2.1 Setup FastAPI & WebSockets

Use FastAPI’s built-in WebSocket support to accept STOMP frames (fastapi.tiangolo.com). Install dependencies:

pip install fastapi uvicorn websockets

2.2 REST Endpoints for Metadata

from fastapi import FastAPI
app = FastAPI()

# Zones metadata
@app.get("/api/zones")
def get_zones():
    return [
      {"id":"zone1","name":"Electronics Aisle"},
      ...,
      {"id":"zone5","name":"Point of Sale"}
    ]

# Products metadata
@app.get("/api/products")
def get_products():
    return [
      {"epc":"EPC0001","sku":"SKU123","category":"electronics"},
      {"epc":"EPC0023","sku":"SKU999","category":"clothes"},
      ...
    ]

2.3 Mock Tag-Read Generator

Use asyncio to emit a STOMP MESSAGE frame every second per antenna, randomizing zone and EPC (stackoverflow.com):

import asyncio, json, random, time
from fastapi import WebSocket

@app.websocket("/ws/tags")
async def tag_stream(ws: WebSocket):
    await ws.accept()
    while True:
        epc = random.choice(["EPC0001","EPC0023"])
        zone = random.choice(["zone1","zone2","zone3","zone4","zone5"])
        antenna = random.choice(["ant1","ant2"])
        body = json.dumps({
            "epc": epc,
            "antennaId": antenna,
            "zoneId": zone,
            "timestamp": int(time.time()*1000)
        })
        frame = (
            "MESSAGE\n"
            "destination:/topic/tagBlinkLite.*\n\n"
            f"{body}\x00"
        )
        await ws.send_text(frame)
        await asyncio.sleep(1)

3. Real-Time Feed via STOMP

3.1 STOMP Frame Structure

STOMP is a simple text-based, frame-oriented protocol. Each frame has a command (MESSAGE), headers (destination), and a body terminated by a NULL byte (0x00) (stomp.github.io).

3.2 Python STOMP Simulation

The above code manually constructs MESSAGE frames. For more fidelity, you could use a STOMP library like stomp.py to build frames programmatically, but raw construction suffices for a mock (websockets.readthedocs.io).

4. React Frontend

4.1 Connecting with @stomp/stompjs

Install:

npm install @stomp/stompjs axios

Initialize STOMP client:

import { Client } from '@stomp/stompjs';

const client = new Client({
  brokerURL: 'ws://localhost:8000/ws/tags',
  debug: (msg) => console.log(msg),
});
client.onConnect = () => {
  client.subscribe('/topic/tagBlinkLite.*', message => {
    const data = JSON.parse(message.body);
    // update React state with data
  });
};
client.activate();

This follows patterns from community samples (medium.com).

4.2 Displaying Zones & Dots with React Leaflet

Install:

npm install react-leaflet leaflet

Render a map and zone overlays, then plot live tag positions:

import { MapContainer, TileLayer, CircleMarker, Polygon } from 'react-leaflet';

function MapView({ zones, tags }) {
  return (
    <MapContainer center={[0,0]} zoom={18} style={{ height: '400px' }}>
      <TileLayer url="https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png" />
      {zones.map(z => (
        <Polygon key={z.id} positions={z.boundary} />
      ))}
      {tags.map(tag => (
        <CircleMarker
          key={tag.epc}
          center={tag.position}
          radius={8}
          eventHandlers={{
            mouseover: () => {/* show popup with SKU */},
          }}
        />
      ))}
    </MapContainer>
  );
}

Usage mirrors official docs (react-leaflet.js.org).

4.3 Tabular Display via TanStack Table

Install:

npm install @tanstack/react-table

Define columns for EPC, SKU, category, zone, timestamp, and feed live data into the table component. This approach is similar to community guides (blog.logrocket.com).

5. Data Flow & Integration

  1. Mock Backend emits STOMP frames (/ws/tags) and serves metadata (/api/zones, /api/products).
  2. React front end uses @stomp/stompjs to consume live reads, axios to fetch metadata, and merges them in state.
  3. MapView plots items by converting zoneId to spatial boundaries, and TableView lists all reads with associated SKU/category and zone.

This decoupled design lets you later swap mocks with real RFC-OS endpoints without changing the frontend.

6. Next Steps & Gaps

  • Schema Completeness: Public examples lack some proprietary fields (e.g., RSSI, antenna beam info). For 100% fidelity, request RF Controls’ Programmer’s Reference Guide or OpenAPI spec.
  • Auth & Security: Introduce Basic Auth or tokens on /ws/tags and /api/*, and migrate to WSS/HTTPS for production.
  • Advanced Processing: Add zone-clustering/buffering logic (as in wms-demo-app) to smooth noisy reads before display.

With this blueprint, you can simulate a realistic RF Controls data feed for development, demo, or customer prototyping—then simply replace the mocks with true RF Controls API calls once credentials and specs are available.