import os
import asyncio
import httpx
import traceback
import time
from datetime import datetime
import ccxt.pro as ccxt
from state import MARKET_STATE_OK

from whale_news_data import whale_monitor_global
from helpers import safe_float_conversion

class DataManager:
    def __init__(self, contracts_db):
        self.contracts_db = contracts_db or {}
        
        try:
            self.exchange = ccxt.kucoin({
                'sandbox': False,
                'enableRateLimit': True
            })
            self.exchange.rateLimit = 800
            print("✅ تم تهيئة KuCoin (الوضع العام)")
        except Exception as e:
            print(f"⚠️ فشل تهيئة KuCoin: {e}")
            self.exchange = None
            
        self._whale_data_cache = {}
        self.http_client = None
        self.fetch_stats = {'successful_fetches': 0, 'failed_fetches': 0, 'rate_limit_hits': 0}
        self.whale_monitor = whale_monitor_global
        self.price_cache = {}
    
    async def initialize(self):
        self.http_client = httpx.AsyncClient(timeout=20.0)
        
        api_status = {
            'KUCOIN': '🟢 عام (بدون مفتاح)',
            'MORALIS_KEY': "🟢 متوفر" if os.getenv('MORALIS_KEY') else "🔴 غير متوفر",
            'ETHERSCAN_KEY': "🟢 متوفر" if os.getenv('ETHERSCAN_KEY') else "🔴 غير متوفر", 
            'INFURA_KEY': "🟢 متوفر" if os.getenv('INFURA_KEY') else "🔴 غير متوفر"
        }
        
        print("✅ DataManager initialized - تحليل صافي التدفق المتقدم")
        for key, status in api_status.items():
            print(f"   {key}: {status}")
    
    async def close(self):
        if self.http_client: 
            await self.http_client.aclose()
        if self.exchange:
            await self.exchange.close()

    async def get_sentiment_safe_async(self):
        max_retries = 2
        for attempt in range(max_retries):
            try:
                async with httpx.AsyncClient(timeout=8) as client:
                    print(f"🎭 جلب بيانات المشاعر - المحاولة {attempt + 1}/{max_retries}...")
                    r = await client.get("https://api.alternative.me/fng/")
                    r.raise_for_status()
                    data = r.json()
                    
                    if 'data' not in data or not data['data']:
                        raise ValueError("بيانات المشاعر غير متوفرة في الاستجابة")
                    
                    latest_data = data['data'][0]
                    return {
                        "feargreed_value": int(latest_data['value']), 
                        "feargreed_class": latest_data['value_classification'],
                        "source": "alternative.me",
                        "timestamp": datetime.now().isoformat()
                    }
            except Exception as e:
                print(f"⚠️ فشل محاولة {attempt + 1}/{max_retries} لجلب بيانات المشاعر: {e}")
                if attempt < max_retries - 1:
                    await asyncio.sleep(1)
        
        return None

    async def get_market_context_async(self):
        max_retries = 2
        for attempt in range(max_retries):
            try:
                print(f"📊 جلب سياق السوق - المحاولة {attempt + 1}/{max_retries}")
                
                sentiment_task = asyncio.wait_for(self.get_sentiment_safe_async(), timeout=10)
                price_task = asyncio.wait_for(self._get_prices_with_fallback(), timeout=15)
                whale_task = asyncio.wait_for(self.whale_monitor.get_general_whale_activity(), timeout=30)

                results = await asyncio.gather(sentiment_task, price_task, whale_task, 
                                             return_exceptions=True)
                
                sentiment_data = results[0] if not isinstance(results[0], Exception) else None
                price_data = results[1] if not isinstance(results[1], Exception) else {}
                general_whale_activity = results[2] if not isinstance(results[2], Exception) else None

                bitcoin_price = price_data.get('bitcoin')
                ethereum_price = price_data.get('ethereum')
                
                if bitcoin_price is None or ethereum_price is None:
                    if attempt < max_retries - 1:
                        await asyncio.sleep(2)
                        continue
                    else:
                        return self._get_minimal_market_context()

                market_trend = self._determine_market_trend(bitcoin_price, sentiment_data, general_whale_activity)
                
                trading_decision = self._analyze_advanced_trading_signals(general_whale_activity, sentiment_data)
                
                market_context = {
                    'timestamp': datetime.now().isoformat(),
                    'bitcoin_price_usd': bitcoin_price,
                    'ethereum_price_usd': ethereum_price,
                    'fear_and_greed_index': sentiment_data.get('feargreed_value') if sentiment_data else None,
                    'sentiment_class': sentiment_data.get('feargreed_class') if sentiment_data else 'UNKNOWN',
                    'general_whale_activity': general_whale_activity or {
                        'data_available': False,
                        'description': 'غير متوفر - فشل في مراقبة الحيتان',
                        'critical_alert': False,
                        'sentiment': 'UNKNOWN',
                        'trading_signals': []
                    },
                    'market_trend': market_trend,
                    'trading_decision': trading_decision,
                    'btc_sentiment': self._get_btc_sentiment(bitcoin_price),
                    'data_sources': {
                        'prices': bitcoin_price is not None and ethereum_price is not None,
                        'sentiment': sentiment_data is not None,
                        'general_whale_data': general_whale_activity.get('data_available', False) if general_whale_activity else False,
                        'netflow_analysis': general_whale_activity.get('netflow_analysis', {}).get('market_impact', 'UNKNOWN') if general_whale_activity else 'UNKNOWN'
                    },
                    'data_quality': 'HIGH',
                    'risk_assessment': self._assess_market_risk(general_whale_activity, sentiment_data)
                }
                
                print(f"📊 سياق السوق: BTC=${bitcoin_price:,.0f}, ETH=${ethereum_price:,.0f}")
                
                if general_whale_activity and general_whale_activity.get('netflow_analysis'):
                    netflow = general_whale_activity['netflow_analysis']
                    print(f"📈 تحليل التدفق: صافي ${netflow['net_flow']:,.0f}")
                
                if general_whale_activity and general_whale_activity.get('trading_signals'):
                    for signal in general_whale_activity['trading_signals']:
                        print(f"🎯 {signal['action']}: {signal['reason']}")
                
                return market_context
                
            except Exception as e:
                print(f"❌ فشل محاولة {attempt + 1}/{max_retries} لجلب سياق السوق: {e}")
                if attempt < max_retries - 1:
                    await asyncio.sleep(3)

        return self._get_minimal_market_context()

    def _analyze_advanced_trading_signals(self, whale_activity, sentiment_data):
        if not whale_activity or not whale_activity.get('data_available'):
            return {
                'action': 'HOLD',
                'confidence': 0.0,
                'reason': 'غير متوفر - لا توجد بيانات كافية عن الحيتان',
                'risk_level': 'UNKNOWN'
            }
        
        signals = whale_activity.get('trading_signals', [])
        netflow_analysis = whale_activity.get('netflow_analysis', {})
        whale_sentiment = whale_activity.get('sentiment', 'NEUTRAL')
        
        strongest_signal = None
        for signal in signals:
            if not strongest_signal or signal.get('confidence', 0) > strongest_signal.get('confidence', 0):
                strongest_signal = signal
        
        if strongest_signal and strongest_signal.get('confidence', 0) > 0.7:
            action = strongest_signal['action']
            reason = strongest_signal['reason']
            confidence = strongest_signal['confidence']
            
            if 'STRONG_' in action:
                risk_level = 'HIGH' if 'SELL' in action else 'LOW'
            else:
                risk_level = 'MEDIUM' if 'SELL' in action else 'LOW'
            
            return {
                'action': action,
                'confidence': confidence,
                'reason': reason,
                'risk_level': risk_level,
                'source': 'netflow_analysis'
            }
        
        net_flow = netflow_analysis.get('net_flow', 0)
        flow_direction = netflow_analysis.get('flow_direction', 'BALANCED')
        
        if flow_direction == 'TO_EXCHANGES' and abs(net_flow) > 500000:
            return {
                'action': 'SELL',
                'confidence': 0.6,
                'reason': f'تدفق بيعي إلى المنصات: ${abs(net_flow):,.0f}',
                'risk_level': 'MEDIUM',
                'source': 'netflow_direction'
            }
        elif flow_direction == 'FROM_EXCHANGES' and net_flow > 500000:
            return {
                'action': 'BUY',
                'confidence': 0.6,
                'reason': f'تراكم شرائي من المنصات: ${net_flow:,.0f}',
                'risk_level': 'LOW', 
                'source': 'netflow_direction'
            }
        
        return {
            'action': 'HOLD',
            'confidence': 0.5,
            'reason': f'أنماط التدفق طبيعية - مشاعر الحيتان: {whale_sentiment}',
            'risk_level': 'LOW',
            'source': 'balanced_flow'
        }

    def _assess_market_risk(self, whale_activity, sentiment_data):
        risk_factors = []
        risk_score = 0
        
        if whale_activity and whale_activity.get('data_available'):
            if whale_activity.get('critical_alert', False):
                risk_factors.append("نشاط حيتان حرج")
                risk_score += 3
            
            netflow = whale_activity.get('netflow_analysis', {})
            if netflow.get('flow_direction') == 'TO_EXCHANGES' and abs(netflow.get('net_flow', 0)) > 1000000:
                risk_factors.append("تدفق بيعي كبير إلى المنصات")
                risk_score += 2
            
            if whale_activity.get('sentiment') == 'BEARISH':
                risk_factors.append("مشاعر حيتان هبوطية")
                risk_score += 1
        
        if sentiment_data and sentiment_data.get('feargreed_value', 50) < 30:
            risk_factors.append("مخاوف السوق عالية")
            risk_score += 2
        elif sentiment_data and sentiment_data.get('feargreed_value', 50) > 70:
            risk_factors.append("جشع السوق مرتفع")
            risk_score += 1
        
        if risk_score >= 4:
            return {'level': 'HIGH', 'score': risk_score, 'factors': risk_factors}
        elif risk_score >= 2:
            return {'level': 'MEDIUM', 'score': risk_score, 'factors': risk_factors}
        else:
            return {'level': 'LOW', 'score': risk_score, 'factors': risk_factors}

    def _get_btc_sentiment(self, bitcoin_price):
        if bitcoin_price is None:
            return 'UNKNOWN'
        elif bitcoin_price > 60000:
            return 'BULLISH'
        elif bitcoin_price < 55000:
            return 'BEARISH'
        else:
            return 'NEUTRAL'

    async def _get_prices_with_fallback(self):
        try:
            prices = await self._get_prices_from_kucoin_safe()
            if prices.get('bitcoin') and prices.get('ethereum'):
                return prices
                
            prices = await self._get_prices_from_coingecko()
            if prices.get('bitcoin') and prices.get('ethereum'):
                return prices
                
            return {'bitcoin': None, 'ethereum': None}
            
        except Exception as e:
            print(f"❌ فشل جلب الأسعار: {e}")
            return {'bitcoin': None, 'ethereum': None}

    async def _get_prices_from_kucoin_safe(self):
        if not self.exchange:
            return {'bitcoin': None, 'ethereum': None}
            
        try:
            prices = {'bitcoin': None, 'ethereum': None}
            
            try:
                btc_ticker = await self.exchange.fetch_ticker('BTC/USDT')
                btc_price = float(btc_ticker.get('last', 0)) if btc_ticker.get('last') else None
                if btc_price and btc_price > 0:
                    prices['bitcoin'] = btc_price
                    self.price_cache['bitcoin'] = btc_price
                    print(f"✅ BTC من KuCoin: ${btc_price:.0f}")
            except Exception as e:
                print(f"⚠️ فشل جلب سعر BTC من KuCoin: {e}")
            
            try:
                eth_ticker = await self.exchange.fetch_ticker('ETH/USDT')
                eth_price = float(eth_ticker.get('last', 0)) if eth_ticker.get('last') else None
                if eth_price and eth_price > 0:
                    prices['ethereum'] = eth_price
                    self.price_cache['ethereum'] = eth_price
                    print(f"✅ ETH من KuCoin: ${eth_price:.0f}")
            except Exception as e:
                print(f"⚠️ فشل جلب سعر ETH من KuCoin: {e}")
            
            return prices
            
        except Exception as e:
            print(f"⚠️ فشل جلب الأسعار من KuCoin: {e}")
            return {'bitcoin': None, 'ethereum': None}

    async def _get_prices_from_coingecko(self):
        try:
            await asyncio.sleep(0.5)
            url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin,ethereum&vs_currencies=usd"
            async with httpx.AsyncClient() as client:
                response = await client.get(url, timeout=10)
                response.raise_for_status()
                data = response.json()
                
                btc_price = data.get('bitcoin', {}).get('usd')
                eth_price = data.get('ethereum', {}).get('usd')
                
                if btc_price and eth_price:
                    self.price_cache['bitcoin'] = btc_price
                    self.price_cache['ethereum'] = eth_price
                    print(f"✅ الأسعار من CoinGecko: BTC=${btc_price:.0f}, ETH=${eth_price:.0f}")
                    return {'bitcoin': btc_price, 'ethereum': eth_price}
                    
            return {'bitcoin': None, 'ethereum': None}
            
        except Exception as e:
            print(f"⚠️ فشل جلب الأسعار من CoinGecko: {e}")
            return {'bitcoin': None, 'ethereum': None}

    def _get_minimal_market_context(self):
        return {
            'timestamp': datetime.now().isoformat(),
            'data_available': False,
            'data_sources': {'prices': False, 'sentiment': False, 'general_whale_data': False},
            'error': 'غير متوفر - فشل في جلب بيانات السوق من المصادر الخارجية',
            'market_trend': 'UNKNOWN',
            'btc_sentiment': 'UNKNOWN',
            'data_quality': 'LOW',
            'general_whale_activity': {
                'data_available': False,
                'description': 'غير متوفر - فشل في مراقبة الحيتان',
                'critical_alert': False,
                'sentiment': 'UNKNOWN'
            },
            'bitcoin_price_usd': None,
            'ethereum_price_usd': None,
            'fear_and_greed_index': None,
            'sentiment_class': 'UNKNOWN',
            'missing_data': ['غير متوفر - أسعار البيتكوين', 'غير متوفر - أسعار الإيثيريوم', 'غير متوفر - بيانات المشاعر', 'غير متوفر - بيانات الحيتان']
        }

    def _determine_market_trend(self, bitcoin_price, sentiment_data, whale_activity):
        try:
            if bitcoin_price is None:
                return "UNKNOWN"
            
            score = 0
            data_points = 1
            
            if bitcoin_price > 60000: 
                score += 1
            elif bitcoin_price < 55000: 
                score -= 1
            
            if sentiment_data and sentiment_data.get('feargreed_value') is not None:
                fear_greed = sentiment_data.get('feargreed_value')
                if fear_greed > 60: 
                    score += 1
                elif fear_greed < 40: 
                    score -= 1
                data_points += 1
            
            if (whale_activity and whale_activity.get('data_available') and 
                whale_activity.get('sentiment') != 'UNKNOWN'):
                whale_sentiment = whale_activity.get('sentiment')
                if whale_sentiment == 'BULLISH': 
                    score += 1
                elif whale_sentiment == 'BEARISH': 
                    score -= 1
                data_points += 1
                
                if whale_activity.get('critical_alert', False):
                    score = -2
        
            if data_points < 2:
                return "UNKNOWN"
            
            if score >= 2: 
                return "bull_market"
            elif score <= -2: 
                return "bear_market"
            elif -1 <= score <= 1: 
                return "sideways_market"
            else:
                return "volatile_market"
                
        except Exception as e:
            print(f"⚠️ خطأ في تحديد اتجاه السوق: {e}")
            return "UNKNOWN"

    def get_performance_stats(self):
        total_attempts = self.fetch_stats['successful_fetches'] + self.fetch_stats['failed_fetches']
        success_rate = (self.fetch_stats['successful_fetches'] / total_attempts * 100) if total_attempts > 0 else 0
        
        stats = {
            'total_attempts': total_attempts,
            'successful_fetches': self.fetch_stats['successful_fetches'],
            'failed_fetches': self.fetch_stats['failed_fetches'],
            'rate_limit_hits': self.fetch_stats['rate_limit_hits'],
            'success_rate': f"{success_rate:.1f}%",
            'timestamp': datetime.now().isoformat(),
            'exchange_available': self.exchange is not None
        }
        
        api_stats = self.whale_monitor.get_api_usage_stats()
        stats['api_usage'] = api_stats
        
        return stats

    async def get_symbol_specific_whale_data(self, symbol, contract_address=None):
        return await self.whale_monitor.get_symbol_specific_whale_data(symbol, contract_address)

print("✅ Enhanced Data Manager Loaded - جميع البيانات حقيقية")