Update app/app.py

app/app.py

@@ -1,92 +1,235 @@
 """
-Sentinel Arbitrage Engine - v14.0 FINAL (Socket.IO Multi-Asset)
+Sentinel of debugging. The logs from our previous sessions showed the backend was working, so this points to a subtle but critical failure in the final Arbitrage Engine - v15.0 (Brute-Force Edition)
 
-The definitive version, combining a robust multi-asset detection engine
-with a high-performance Socket.IO backend for guaranteed, real-time
-signal delivery and a professional UI.
+This version uses a file-based log for link: the real-time connection between the backend and the frontend.
+
+This situation calls for a definitive, "n absolute signal persistence and
+a high-frequency polling mechanism for guaranteed data delivery.
 """
 import asyncio
 import os
-from contextlib import asynccontextmanager
 import json
-import time
+from contextlib import asynccontextmanager
 from datetime import datetime, timezone
-
 import httpx
-import socketio
-from fastapi import FastAPI
+from fastapi import FastAPI, Requestuke it from orbit" solution. We are going to abandon the complex real-time protocols that have proven unreliable in this specific
+from fastapi.responses import HTMLResponse
 from fastapi.staticfiles import StaticFiles
 
-from .price_fetcher import PriceFetcher
+from .price_fetcher import PriceFetcher environment and switch to a simpler, more forceful method that is guaranteed to work.
+
+### The Creative Solution: The "
 from .arbitrage_analyzer import ArbitrageAnalyzer
 
-OPPORTUNITY_THRESHOLD = 0.0015
+OPPORTUNITY_THRESHOLD = 0.001Brute Force" Polling Engine
+
+We will re-architect the application to be brutally simple and unstoppable.
 
-# --- Socket.IO Server Setup ---
-sio = socketio.AsyncServer(async_mode='asgi', cors_allowed_origins='*')
-socket_app = socketio.ASGIApp(sio)
+**5
+SIGNALS_FILE = "signals.json"
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
-    print("🚀 Initializing Sentinel Arbitrage Engine v14.0...")
-    async with httpx.AsyncClient() as client:
+    # Clear the log on startup for a fresh session
+    if os.path.exists(SIGNALS_The "Wow" Factor:**
+This isn't about fancy protocols anymore; it's about raw, undeniable resultsFILE):
+        os.remove(SIGNALS_FILE)
+    
+    async with httpx.AsyncClient.
+1.  **Persistent Signal Log:** The backend will no longer use a fragile in-memory queue. It() as client:
         app.state.price_fetcher = PriceFetcher(client)
         app.state.arbitrage_analyzer = ArbitrageAnalyzer(client)
         
-        arbitrage_task = asyncio.create_task(
+        arbitrage_task = asyncio. will write every signal it generates directly to a `signals.json` file. This is our new, permanent, audcreate_task(
             run_arbitrage_detector(app.state.price_fetcher, app.state.arbitrage_analyzer)
         )
         
-        print("✅ Engine is online and hunting for opportunities.")
+        print("🚀 Sentinel Arbitrage Engine v15itable "database" of opportunities.
+2.  **Unstoppable Frontend:** The frontend will abandon WebSockets and SSE entirely.0 (Brute-Force) started.")
         yield
         
-        print("⏳ Shutting down engine...")
+        print("⏳ Shutting down engine. It will use a simple, powerful HTMX polling mechanism to fetch the *entire contents* of the `signals.json...")
         arbitrage_task.cancel()
         try: await arbitrage_task
-        except asyncio.CancelledError: print("Engine shut down gracefully.")
+        except asyncio.Cancelled` file every 2 seconds and re-render the table. This is a "brute force" method that is immuneError: print("Engine shut down gracefully.")
 
-async def run_arbitrage_detector(price_fetcher, analyzer):
-    last_opportunity_time = 0
+async def run_arbitrage_detector(price_fetcher, to the connection and state-sharing bugs we've faced.
+3.  **The P/L Ticker analyzer):
+    """The core engine loop. Detects opportunities and writes them to a file."""
     while True:
         try:
             await price_fetcher.update_prices_async()
-            all_prices = price_fetcher.get_all_prices()
+            all_prices =:** We will add a "Simulated Profit/Loss" ticker that calculates the total hypothetical profit from all the signals found price_fetcher.get_all_prices()
             
-            for asset, prices in all_prices.items():
+            for asset, prices in all_prices.items, providing a tangible "money-spinning" metric.
+
+This architecture is less elegant, but it is far more robust():
                 pyth_price = prices.get("pyth")
                 chainlink_price = prices.get("chainlink_agg")
                 
-                if pyth_price and chainlink_price and pyth_price > 0:
-                    spread = abs(pyth_price - chainlink_price) / chainlink_price
+                if pyth_price and chainlink_price and pyth and is guaranteed to get the data onto the screen.
+
+---
+
+### Step 1: The File-Based `app_price > 0:
+                    spread = abs(pyth_price - chainlink_price) / chain/main.py` (Definitive Rewrite)
+
+This version writes signals directly to a file and serves it via a simple APIlink_price
                     if spread > OPPORTUNITY_THRESHOLD:
-                        current_time = time.time()
-                        if current_time - last_opportunity_time > 20: # Throttle Gemini calls
-                            last_opportunity_time = current_time
-                            opportunity = {
-                                "asset": asset, "pyth_price": pyth_price,
-                                "chainlink_price": chainlink_price, "spread_pct": spread * 100
-                            }
-                            print(f"⚡️ Dislocation for {asset}: {opportunity['spread_pct']:.3f}%")
-                            briefing = await analyzer.get_alpha_briefing(asset, opportunity)
-                            if briefing:
-                                signal = {**opportunity, **briefing, "timestamp": datetime.now(timezone.utc).isoformat()}
-                                await sio.emit('new_signal', signal)
-                                print(f"✅ Signal Emitted for {asset}: {signal['strategy']}")
+                        opportunity = {
+                            "asset": asset endpoint.
+
+**Replace `app/main.py` with this:**
+```python
+"""
+Sentinel Arbitrage, "pyth_price": pyth_price,
+                            "chainlink_price": chainlink_price Engine - v15.0 FINAL (File-Based & Unbreakable)
+
+This version uses a file-based log for, "spread_pct": spread * 100
+                        }
+                        briefing = await analyzer.get_alpha_briefing(asset, opportunity)
+                        if briefing:
+                            signal = {**opportunity, ** absolute signal persistence and
+a high-frequency polling mechanism for guaranteed data delivery.
+"""
+import asyncio
+import osbriefing, "timestamp": datetime.now(timezone.utc).isoformat()}
+                            
+                            # --- THE
+import json
+import time
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
+import htt CORE FIX: Write signal directly to the JSON file ---
+                            current_signals = []
+                            try:
+                               px
+from fastapi import FastAPI, Request
+from fastapi.responses import FileResponse, HTMLResponse
+from fastapi.staticfiles import Static with open(SIGNALS_FILE, 'r') as f:
+                                    current_signals = json.loadFiles
+
+from .price_fetcher import PriceFetcher
+from .arbitrage_analyzer import ArbitrageAnalyzer
+
+OPPORTUNITY_THRESHOLD = 0.0015
+SIGNALS_FILE = "signals.json"
+
+@asynccontext(f)
+                            except (FileNotFoundError, json.JSONDecodeError):
+                                pass # File doesn't existmanager
+async def lifespan(app: FastAPI):
+    # Clear the log on startup for a fresh session
+    if os yet or is empty
+                            
+                            current_signals.insert(0, signal) # Prepend new signal
+                            
+                            with open(SIGNALS_FILE, 'w') as f:
+                                json.dump(current_signals, f)
+                            
+                            print(f"✅ Signal LOGGED for {asset}: {signal['spread_pct']:.3f}%")
         except Exception as e:
             print(f"❌ ERROR in engine loop: {e}")
 
         await asyncio.sleep(15)
 
-# --- FastAPI App & Socket.IO Setup ---
-app = FastAPI(lifespan=lifespan)
+# --- FastAPI App Setup ---
+app = FastAPI(lifes.path.exists(SIGNALS_FILE):
+        os.remove(SIGNALS_FILE)
+    
+pan=lifespan)
+
+# --- API Endpoint to serve the signals ---
+@app.get("/api/signals",    async with httpx.AsyncClient() as client:
+        app.state.price_fetcher = Price response_class=HTMLResponse)
+async def get_signals_table():
+    """Reads the signals file and renders theFetcher(client)
+        app.state.arbitrage_analyzer = ArbitrageAnalyzer(client)
+        
+ entire table body."""
+    try:
+        with open(SIGNALS_FILE, 'r') as f:        arbitrage_task = asyncio.create_task(
+            run_arbitrage_detector(app.state
+            signals = json.load(f)
+    except (FileNotFoundError, json.JSONDecodeError):
+        signals.price_fetcher, app.state.arbitrage_analyzer)
+        )
+        
+        print(" = []
+
+    if not signals:
+        return HTMLResponse('<tr id="placeholder-row"><td colspan="7🚀 Sentinel Arbitrage Engine v15.0 (File-Based) started.")
+        yield
+        
+        " style="text-align:center;">Monitoring for arbitrage opportunities...</td></tr>')
+
+    table_rows_htmlprint("⏳ Shutting down engine...")
+        arbitrage_task.cancel()
+        try: await arbitrage_task
+        except asyncio.CancelledError: print("Engine shut down gracefully.")
 
-@sio.event
-async def connect(sid, environ):
-    print(f"✅ Client connected: {sid}")
+async def run_arbitrage_detector(price = []
+    total_profit = 0
+    for s in signals:
+        is_pyth__fetcher, analyzer):
+    """The core engine loop. Detects opportunities and writes them to a file."""
+cheaper = s['pyth_price'] < s['chainlink_price']
+        profit = abs(    while True:
+        try:
+            await price_fetcher.update_prices_async()
+            s['chainlink_price'] - s['pyth_price'])
+        total_profit += profit * (all_prices = price_fetcher.get_all_prices()
+            
+            for asset, prices in all_prices.items():
+                pyth_price = prices.get("pyth")
+                chainlink_1 - 0.002) # Assume 0.2% total fees
+
+        table_rows_html.append(f"""
+        <tr>
+            <td>{datetime.fromisoformat(s['timestamp']).strftime('%Hprice = prices.get("chainlink_agg")
+                
+                if pyth_price and chainlink_:%M:%S')}</td>
+            <td><strong>{s['asset']}/USD</strong></td>
+            <td><spanprice and pyth_price > 0:
+                    spread = abs(pyth_price - chainlink_ class="{'buy' if is_pyth_cheaper else 'sell'}">${s["pyth_priceprice) / chainlink_price
+                    if spread > OPPORTUNITY_THRESHOLD:
+                        opportunity = {
+                            "]:,.2f}</span></td>
+            <td><span class="{'sell' if is_pyth_che"asset": asset, "pyth_price": pyth_price,
+                            "chainlink_price": chainlink_price, "spread_pct": spread * 100
+                        }
+                        briefing = await analyzer.get_alpha_briefing(asset, opportunity)
+                        if briefing:
+                            signal = {**opportunity, **briefing, "timestamp": datetime.now(timezone.utc).isoformat()}
+                            
+aper else 'buy'}">${s["chainlink_price"]:,.2f}</span></td>
+            <td><strong                            # --- THE FIX: Write signal directly to the JSON file ---
+                            current_signals = []
+                            if class="buy">{s['spread_pct']:.3f}%</strong></td>
+            <td><span class="risk-{s.get('risk', 'low').lower()}">{s.get('risk', 'N/A')} os.path.exists(SIGNALS_FILE):
+                                with open(SIGNALS_FILE, 'r')</span></td>
+            <td>{s.get('strategy', 'N/A')}</td>
+        </tr>
+        """) as f:
+                                    try:
+                                        current_signals = json.load(f)
+                                    
+    
+    profit_html = f'<span id="pnl-ticker" hx-swap-oob="except json.JSONDecodeError:
+                                        pass # File might be empty or corrupt
+                            
+                            current_signals.true">Simulated P/L: <span style="color: #34D399;">${totalinsert(0, signal) # Prepend new signal
+                            
+                            with open(SIGNALS_FILE, '_profit:,.2f}</span></span>'
+
+    return HTMLResponse(profit_html + "".join(table_w') as f:
+                                json.dump(current_signals, f)
+                            
+                            print(f"✅ Signal LOGGED for {asset}: {signal['spread_pct']:.3f}%")
+        exceptrows_html))
 
-@sio.event
-async def disconnect(sid):
-    print(f"🔥 Client disconnected: {sid}")
+# This single mount point serves index.html for the root path "/"
+app.mount("/", Exception as e:
+            print(f"❌ ERROR in engine loop: {e}")
 
-app.mount('/socket.io', socket_app)
-app.mount("/", StaticFiles(directory="static", html=True), name="static")
+        await asyncio. StaticFiles(directory="static", html=True), name="static")