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Update app/app.py
Browse files- app/app.py +36 -86
app/app.py
CHANGED
@@ -1,32 +1,34 @@
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"""
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Sentinel Arbitrage Engine -
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a high-
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"""
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import asyncio
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import os
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import json
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import time
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from contextlib import asynccontextmanager
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from datetime import datetime, timezone
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import httpx
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from fastapi
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from fastapi.staticfiles import StaticFiles
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from .price_fetcher import PriceFetcher
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from .arbitrage_analyzer import ArbitrageAnalyzer
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OPPORTUNITY_THRESHOLD = 0.0015
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-
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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os.remove(SIGNALS_FILE)
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async with httpx.AsyncClient() as client:
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app.state.price_fetcher = PriceFetcher(client)
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app.state.arbitrage_analyzer = ArbitrageAnalyzer(client)
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@@ -35,7 +37,7 @@ async def lifespan(app: FastAPI):
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run_arbitrage_detector(app.state.price_fetcher, app.state.arbitrage_analyzer)
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)
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print("
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yield
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print("β³ Shutting down engine...")
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@@ -44,6 +46,7 @@ async def lifespan(app: FastAPI):
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except asyncio.CancelledError: print("Engine shut down gracefully.")
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async def run_arbitrage_detector(price_fetcher, analyzer):
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while True:
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try:
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await price_fetcher.update_prices_async()
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@@ -56,87 +59,34 @@ async def run_arbitrage_detector(price_fetcher, analyzer):
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if pyth_price and chainlink_price and pyth_price > 0:
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spread = abs(pyth_price - chainlink_price) / chainlink_price
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if spread > OPPORTUNITY_THRESHOLD:
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with open(SIGNALS_FILE, 'w') as f:
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json.dump(data, f)
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except (FileNotFoundError, json.JSONDecodeError):
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with open(SIGNALS_FILE, 'w') as f:
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json.dump([signal], f)
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print(f"β
Signal LOGGED for {asset}: {signal['spread_pct']:.3f}%")
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except Exception as e:
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print(f"β ERROR in engine loop: {e}")
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await asyncio.sleep(15)
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app = FastAPI(lifespan=lifespan)
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def render_signal_card(signal: dict) -> str:
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"""Renders a single signal dictionary into a clean HTML table row."""
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s = signal
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time_str = datetime.fromisoformat(s['timestamp']).strftime('%H:%M:%S')
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# Determine which price is higher/lower for coloring
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is_pyth_cheaper = s['pyth_price'] < s['chainlink_price']
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pyth_price_html = f'<span class="{"buy" if is_pyth_cheaper else "sell"}">${s["pyth_price"]:,.2f}</span>'
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chainlink_price_html = f'<span class="{"sell" if is_pyth_cheaper else "buy"}">${s["chainlink_price"]:,.2f}</span>'
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# Build the complete table row with 7 cells
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return f"""
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<tr>
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<td>{time_str}</td>
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<td><strong>{s['asset']}/USD</strong></td>
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<td>{pyth_price_html}</td>
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<td>{chainlink_price_html}</td>
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<td><strong class="buy">{s['spread_pct']:.3f}%</strong></td>
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<td><span class="risk-{s.get('risk', 'low').lower()}">{s.get('risk', 'N/A')}</span></td>
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<td>{s.get('strategy', 'N/A')}</td>
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</tr>
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"""
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# ====================================================================
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@app.get("/api/signals", response_class=HTMLResponse)
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async def get_signals_table(request: Request):
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"""Reads the signals file and renders the entire table body."""
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try:
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with open(SIGNALS_FILE, 'r') as f:
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signals = json.load(f)
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except (FileNotFoundError, json.JSONDecodeError):
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signals = []
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if not signals:
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return HTMLResponse('<tr><td colspan="7" style="text-align:center;">Monitoring for arbitrage opportunities...</td></tr>')
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# Generate all table rows
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table_rows_html = "".join([render_signal_card(s) for s in signals])
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# Calculate total simulated profit
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total_profit = 0
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for s in signals:
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profit = abs(s['chainlink_price'] - s['pyth_price'])
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total_profit += profit * (1 - 0.002) # Assume 0.2% total fees
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# Create the P/L ticker with an OOB swap attribute
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profit_html = f'<span id="pnl-ticker" hx-swap-oob="true">Simulated P/L: <span style="color: #34D399;">${total_profit:,.2f}</span></span>'
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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"""
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Sentinel Arbitrage Engine - v14.0 FINAL (Socket.IO Multi-Asset)
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The definitive version, combining a robust multi-asset detection engine
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with a high-performance Socket.IO backend for guaranteed, real-time
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signal delivery and a professional UI.
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"""
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import asyncio
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import os
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from contextlib import asynccontextmanager
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import json
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import time
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from datetime import datetime, timezone
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import httpx
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import socketio
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from .price_fetcher import PriceFetcher
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from .arbitrage_analyzer import ArbitrageAnalyzer
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OPPORTUNITY_THRESHOLD = 0.0015
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# --- Socket.IO Server Setup ---
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sio = socketio.AsyncServer(async_mode='asgi', cors_allowed_origins='*')
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socket_app = socketio.ASGIApp(sio)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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print("π Initializing Sentinel Arbitrage Engine v14.0...")
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async with httpx.AsyncClient() as client:
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app.state.price_fetcher = PriceFetcher(client)
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app.state.arbitrage_analyzer = ArbitrageAnalyzer(client)
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run_arbitrage_detector(app.state.price_fetcher, app.state.arbitrage_analyzer)
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)
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print("β
Engine is online and hunting for opportunities.")
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yield
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print("β³ Shutting down engine...")
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except asyncio.CancelledError: print("Engine shut down gracefully.")
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async def run_arbitrage_detector(price_fetcher, analyzer):
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last_opportunity_time = 0
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while True:
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try:
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await price_fetcher.update_prices_async()
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if pyth_price and chainlink_price and pyth_price > 0:
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spread = abs(pyth_price - chainlink_price) / chainlink_price
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if spread > OPPORTUNITY_THRESHOLD:
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current_time = time.time()
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if current_time - last_opportunity_time > 20: # Throttle Gemini calls
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last_opportunity_time = current_time
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opportunity = {
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"asset": asset, "pyth_price": pyth_price,
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"chainlink_price": chainlink_price, "spread_pct": spread * 100
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}
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print(f"β‘οΈ Dislocation for {asset}: {opportunity['spread_pct']:.3f}%")
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briefing = await analyzer.get_alpha_briefing(asset, opportunity)
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if briefing:
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signal = {**opportunity, **briefing, "timestamp": datetime.now(timezone.utc).isoformat()}
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await sio.emit('new_signal', signal)
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print(f"β
Signal Emitted for {asset}: {signal['strategy']}")
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except Exception as e:
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print(f"β ERROR in engine loop: {e}")
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await asyncio.sleep(15)
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# --- FastAPI App & Socket.IO Setup ---
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app = FastAPI(lifespan=lifespan)
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@sio.event
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async def connect(sid, environ):
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print(f"β
Client connected: {sid}")
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@sio.event
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async def disconnect(sid):
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print(f"π₯ Client disconnected: {sid}")
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app.mount('/socket.io', socket_app)
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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