src/features/whale_realtime_monitor.py

"""
Real-Time Whale Transaction Monitor

Replaces 1-hour polling with WebSocket streams for <30 second latency.
Monitors whale wallets for large transactions and accumulation/distribution patterns.

Architecture:
- ETH: Alchemy WebSocket (free tier: 300M compute units/month)
- SOL: Helius WebSocket (free tier: 100k credits/month)
- XRP: XRPL WebSocket (free, official)

Features:
- Real-time transaction alerts (<30s latency)
- Large transaction detection (>$1M)
- Event-driven callbacks
- In-memory caching with TTL

Usage:
    monitor = WhaleRealtimeMonitor()
    monitor.start()  # Runs in background thread

    # Get latest whale signals
    eth_signal = monitor.get_whale_signal("ETH")
    sol_signal = monitor.get_whale_signal("SOL")
"""

import logging
import time
import threading
from typing import Dict, List, Callable, Optional
from datetime import datetime, timedelta
from collections import defaultdict
import json

logger = logging.getLogger(__name__)


class WhaleRealtimeMonitor:
    """
    Real-time whale transaction monitor using WebSocket streams.

    Note: WebSocket implementation is a Phase 2 feature requiring:
    - Alchemy API key for ETH
    - Helius API key for SOL
    - XRPL public endpoint for XRP

    For now, this provides the framework and can be enhanced incrementally.
    """

    def __init__(self):
        self.running = False
        self.monitor_thread = None

        # In-memory cache for whale transactions
        self.whale_txns = defaultdict(list)  # chain -> [transactions]
        self.cache_ttl = 3600  # 1 hour

        # Large transaction threshold ($1M USD equivalent)
        self.large_txn_threshold_usd = 1_000_000

        # Callbacks for whale events
        self.callbacks: List[Callable] = []

        # WebSocket connections (to be implemented)
        self.ws_eth = None
        self.ws_sol = None
        self.ws_xrp = None

        logger.info("🐋 WhaleRealtimeMonitor initialized (WebSocket impl pending)")

    def register_callback(self, callback: Callable[[Dict], None]):
        """Register a callback function for whale transaction events.

        Callback receives dict with:
        - chain: str (ETH/SOL/XRP)
        - address: str (whale wallet address)
        - txn_hash: str
        - direction: str (in/out)
        - value_usd: float
        - timestamp: datetime
        """
        self.callbacks.append(callback)

    def start(self):
        """Start real-time monitoring in background thread."""
        if self.running:
            logger.warning("WhaleRealtimeMonitor already running")
            return

        self.running = True
        self.monitor_thread = threading.Thread(target=self._monitor_loop, daemon=True)
        self.monitor_thread.start()
        logger.info("🐋 Real-time whale monitoring started")

    def stop(self):
        """Stop monitoring and close WebSocket connections."""
        self.running = False
        if self.monitor_thread:
            self.monitor_thread.join(timeout=5)

        # Close WebSocket connections
        self._close_websockets()
        logger.info("🐋 Real-time whale monitoring stopped")

    def _monitor_loop(self):
        """Main monitoring loop (runs in background thread)."""
        while self.running:
            try:
                # TODO: Implement WebSocket event handling
                # For now, just sleep to keep thread alive
                time.sleep(1)

                # Clean up old transactions from cache
                self._cleanup_cache()

            except Exception as e:
                logger.error(f"Whale monitor loop error: {e}")
                time.sleep(5)

    def _cleanup_cache(self):
        """Remove transactions older than TTL from cache."""
        cutoff = datetime.now() - timedelta(seconds=self.cache_ttl)

        for chain in self.whale_txns:
            self.whale_txns[chain] = [
                txn for txn in self.whale_txns[chain]
                if txn.get('timestamp', datetime.now()) > cutoff
            ]

    def _close_websockets(self):
        """Close all WebSocket connections."""
        # TODO: Implement WebSocket cleanup
        pass

    def get_whale_signal(self, chain: str) -> Dict:
        """Get aggregated whale signal for a chain.

        Returns:
            signal: float from -1 (strong sell) to +1 (strong buy)
            confidence: float from 0 to 1
            large_txns_1h: int (count of >$1M transactions in last hour)
            net_flow_1h: float (USD, positive = accumulation)
        """
        txns = self.whale_txns.get(chain, [])

        if not txns:
            return {
                "signal": 0.0,
                "confidence": 0.0,
                "large_txns_1h": 0,
                "net_flow_1h": 0.0,
                "status": "no_data"
            }

        # Count large transactions in last hour
        one_hour_ago = datetime.now() - timedelta(hours=1)
        recent_txns = [t for t in txns if t.get('timestamp', datetime.now()) > one_hour_ago]

        large_txns = [t for t in recent_txns if t.get('value_usd', 0) > self.large_txn_threshold_usd]

        # Calculate net flow (positive = accumulation, negative = distribution)
        net_flow = sum(
            t.get('value_usd', 0) if t.get('direction') == 'in' else -t.get('value_usd', 0)
            for t in recent_txns
        )

        # Normalize to signal (-1 to +1)
        # $10M net inflow = +1.0 signal, $10M outflow = -1.0 signal
        signal = max(-1.0, min(1.0, net_flow / 10_000_000))

        # Confidence based on transaction count
        confidence = min(1.0, len(recent_txns) / 50)

        return {
            "signal": signal,
            "confidence": confidence,
            "large_txns_1h": len(large_txns),
            "net_flow_1h": net_flow,
            "recent_txn_count": len(recent_txns),
            "status": "ok"
        }

    # ========================================================================
    # WebSocket Implementation Stubs (To be implemented in Phase 2)
    # ========================================================================

    def _connect_eth_websocket(self):
        """
        Connect to Alchemy WebSocket for Ethereum whale monitoring.

        Requires: ALCHEMY_API_KEY environment variable

        Implementation:
        1. Subscribe to address activity for all ETH whale wallets
        2. Filter for transactions >$100k
        3. Callback on whale transaction detected

        Free tier: 300M compute units/month (~3M transactions)
        """
        # TODO: Implement Alchemy WebSocket
        # from web3 import Web3
        # w3 = Web3(Web3.WebsocketProvider(f"wss://eth-mainnet.g.alchemy.com/v2/{ALCHEMY_API_KEY}"))
        pass

    def _connect_sol_websocket(self):
        """
        Connect to Helius WebSocket for Solana whale monitoring.

        Requires: HELIUS_API_KEY environment variable

        Implementation:
        1. Subscribe to account changes for all SOL whale wallets
        2. Filter for transactions >$100k
        3. Callback on whale transaction detected

        Free tier: 100k credits/month
        """
        # TODO: Implement Helius WebSocket
        # from solana.rpc.websocket_api import connect
        # async with connect(f"wss://mainnet.helius-rpc.com/?api-key={HELIUS_API_KEY}") as ws:
        #     await ws.account_subscribe(whale_address)
        pass

    def _connect_xrp_websocket(self):
        """
        Connect to XRPL WebSocket for XRP whale monitoring.

        Public endpoint: wss://xrplcluster.com/

        Implementation:
        1. Subscribe to transactions for all XRP whale wallets
        2. Filter for transactions >$100k
        3. Callback on whale transaction detected

        Free tier: Unlimited (public XRPL nodes)
        """
        # TODO: Implement XRPL WebSocket
        # from xrpl.clients import WebsocketClient
        # client = WebsocketClient("wss://xrplcluster.com/")
        # await client.request(AccountTxRequest(account=whale_address))
        pass


# Singleton instance
_monitor_instance: Optional[WhaleRealtimeMonitor] = None


def get_whale_monitor() -> WhaleRealtimeMonitor:
    """Get singleton instance of whale monitor."""
    global _monitor_instance
    if _monitor_instance is None:
        _monitor_instance = WhaleRealtimeMonitor()
    return _monitor_instance