Add real-time consumer panel and paginated transaction results

- Implement WebSocket endpoint (/ws/fraud-results) in API for real-time fraud detection updates
- Add Redis pub/sub listener in API to broadcast consumer results to connected WebSocket clients
- Update consumer to publish fraud detection results to Redis 'fraud_results' channel with transaction details
- Add WebSocket connection logic in frontend with auto-reconnect (exponential backoff)
- Display real-time consumer status panel with fraud score color coding and decision status
- Implement client-side transaction results pagination (10/25/50 items per page)
- Add pagination controls: Previous/Next buttons, page indicator, page size selector
- Newest-first transaction sorting (DESC by timestamp)
- Add comprehensive styling for consumer panel and pagination controls
- All frontend components tested and builds successfully

Co-authored-by: Copilot <[email protected]>
This commit is contained in:
Pat TeruelandCopilot committed 2026-05-01 19:29:31 +08:00
1 parent d4751b9061
commit 0387900954
5 files changed
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@@ -13,7 +13,7 @@ hands off responsibility to the message queue. This separation of concerns is
fundamental to scalable microservices architecture.
"""
from fastapi import FastAPI, Depends, HTTPException, status
from fastapi import FastAPI, Depends, HTTPException, status, WebSocket, WebSocketDisconnect
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
@@ -23,6 +23,8 @@ import json
import uuid
import time
import logging
import redis
import threading
# ══════════════════════════════════════════════════════════════════════════════
# CONFIGURATION
@@ -85,6 +87,66 @@ def get_kafka_producer():
raise
return kafka_producer
# ══════════════════════════════════════════════════════════════════════════════
# REDIS & WEBSOCKET PUBSUB
# ══════════════════════════════════════════════════════════════════════════════
redis_client = None
connected_clients = set()
pubsub_thread = None
def get_redis_client():
"""Get or create Redis client"""
global redis_client
if redis_client is None:
try:
redis_client = redis.Redis(
host="redis",
port=6379,
decode_responses=True
)
redis_client.ping()
logger.info("[REDIS] Connected to Redis")
except Exception as e:
logger.warning(f"[REDIS] Connection failed: {e}")
redis_client = None
raise
return redis_client
def start_pubsub_listener():
"""Start background thread to listen for fraud results on Redis pub/sub"""
global pubsub_thread
def listen_and_broadcast():
try:
redis_conn = get_redis_client()
pubsub = redis_conn.pubsub()
pubsub.subscribe("fraud_results")
logger.info("[PUBSUB] Listening to 'fraud_results' channel")
for message in pubsub.listen():
if message["type"] == "message":
try:
data = json.loads(message["data"])
# Broadcast to all connected WebSocket clients
for client in list(connected_clients):
try:
if not client.client_state.value == 0: # Check if still connected
client.send_json(data)
except Exception as e:
logger.warning(f"[PUBSUB] Failed to send to client: {e}")
try:
connected_clients.discard(client)
except:
pass
except Exception as e:
logger.error(f"[PUBSUB] Failed to parse message: {e}")
except Exception as e:
logger.error(f"[PUBSUB] Listener error: {e}")
pubsub_thread = threading.Thread(target=listen_and_broadcast, daemon=True)
pubsub_thread.start()
# ══════════════════════════════════════════════════════════════════════════════
# AUTHENTICATION
# ══════════════════════════════════════════════════════════════════════════════
@@ -211,6 +273,34 @@ async def get_demo_token(user_id: str):
logger.info(f"[JWT GENERATION] Generated token for user={user_id}")
return {"access_token": token, "token_type": "bearer"}
@app.websocket("/ws/fraud-results")
async def websocket_fraud_results(websocket: WebSocket):
"""
WebSocket endpoint for real-time fraud detection results.
Clients connect and receive live updates when fraud detection completes.
Results are streamed from Redis pub/sub channel via background listener.
"""
await websocket.accept()
connected_clients.add(websocket)
logger.info(f"[WEBSOCKET] Client connected. Total clients: {len(connected_clients)}")
try:
# Keep connection alive while client is connected
while True:
# Wait for any client message (optional heartbeat/ping)
data = await websocket.receive_text()
logger.debug(f"[WEBSOCKET] Received from client: {data}")
except WebSocketDisconnect:
connected_clients.discard(websocket)
logger.info(f"[WEBSOCKET] Client disconnected. Total clients: {len(connected_clients)}")
except Exception as e:
logger.error(f"[WEBSOCKET] Error: {e}")
try:
connected_clients.discard(websocket)
except:
pass
# ══════════════════════════════════════════════════════════════════════════════
# STARTUP / SHUTDOWN
# ══════════════════════════════════════════════════════════════════════════════
@@ -224,6 +314,13 @@ async def startup_event():
logger.info(f"Topic: {KAFKA_TOPIC}")
logger.info("Listening for authenticated transaction requests...")
logger.info("="*80)
# Start Redis pub/sub listener for WebSocket broadcasts
try:
get_redis_client()
start_pubsub_listener()
except Exception as e:
logger.warning(f"[STARTUP] Redis pub/sub not available: {e}")
@app.on_event("shutdown")
async def shutdown_event():