exchange_monitor_sync/sync/account_sync.py

from .base_sync import BaseSync
from loguru import logger
from typing import List, Dict, Any, Set
import json
import time
from datetime import datetime, timedelta
from sqlalchemy import text, and_
from models.orm_models import StrategyKX

class AccountSyncBatch(BaseSync):
    """账户信息批量同步器"""
    
    async def sync_batch(self, accounts: Dict[str, Dict]):
        """批量同步所有账号的账户信息"""
        try:
            logger.info(f"开始批量同步账户信息，共 {len(accounts)} 个账号")
            
            # 收集所有账号的数据
            all_account_data = await self._collect_all_account_data(accounts)
            
            if not all_account_data:
                logger.info("无账户信息数据需要同步")
                return
            
            # 批量同步到数据库
            success = await self._sync_account_info_batch_to_db(all_account_data)
            
            if success:
                logger.info(f"账户信息批量同步完成: 处理 {len(all_account_data)} 条记录")
            else:
                logger.error("账户信息批量同步失败")
            
        except Exception as e:
            logger.error(f"账户信息批量同步失败: {e}")
    
    async def _collect_all_account_data(self, accounts: Dict[str, Dict]) -> List[Dict]:
        """收集所有账号的账户信息数据"""
        all_account_data = []
        
        try:
            # 按交易所分组账号
            account_groups = self._group_accounts_by_exchange(accounts)
            
            # 并发收集每个交易所的数据
            tasks = []
            for exchange_id, account_list in account_groups.items():
                task = self._collect_exchange_account_data(exchange_id, account_list)
                tasks.append(task)
            
            # 等待所有任务完成并合并结果
            results = await asyncio.gather(*tasks, return_exceptions=True)
            
            for result in results:
                if isinstance(result, list):
                    all_account_data.extend(result)
            
            logger.info(f"收集到 {len(all_account_data)} 条账户信息记录")
            
        except Exception as e:
            logger.error(f"收集账户信息数据失败: {e}")
        
        return all_account_data
    
    def _group_accounts_by_exchange(self, accounts: Dict[str, Dict]) -> Dict[str, List[Dict]]:
        """按交易所分组账号"""
        groups = {}
        for account_id, account_info in accounts.items():
            exchange_id = account_info.get('exchange_id')
            if exchange_id:
                if exchange_id not in groups:
                    groups[exchange_id] = []
                groups[exchange_id].append(account_info)
        return groups
    
    async def _collect_exchange_account_data(self, exchange_id: str, account_list: List[Dict]) -> List[Dict]:
        """收集某个交易所的账户信息数据"""
        account_data_list = []
        
        try:
            for account_info in account_list:
                k_id = int(account_info['k_id'])
                st_id = account_info.get('st_id', 0)
                
                # 从Redis获取账户信息数据
                account_data = await self._get_account_info_from_redis(k_id, st_id, exchange_id)
                account_data_list.extend(account_data)
            
            logger.debug(f"交易所 {exchange_id}: 收集到 {len(account_data_list)} 条账户信息")
            
        except Exception as e:
            logger.error(f"收集交易所 {exchange_id} 账户信息失败: {e}")
        
        return account_data_list
    
    async def _get_account_info_from_redis(self, k_id: int, st_id: int, exchange_id: str) -> List[Dict]:
        """从Redis获取账户信息数据（批量优化版本）"""
        try:
            redis_key = f"{exchange_id}:balance:{k_id}"
            redis_funds = self.redis_client.client.hgetall(redis_key)
            
            if not redis_funds:
                return []
            
            # 按天统计数据
            from config.settings import SYNC_CONFIG
            recent_days = SYNC_CONFIG['recent_days']
            
            today = datetime.now()
            date_stats = {}
            
            # 收集所有日期的数据
            for fund_key, fund_json in redis_funds.items():
                try:
                    fund_data = json.loads(fund_json)
                    date_str = fund_data.get('lz_time', '')
                    lz_type = fund_data.get('lz_type', '')
                    
                    if not date_str or lz_type not in ['lz_balance', 'deposit', 'withdrawal']:
                        continue
                    
                    # 只处理最近N天的数据
                    date_obj = datetime.strptime(date_str, '%Y-%m-%d')
                    if (today - date_obj).days > recent_days:
                        continue
                    
                    if date_str not in date_stats:
                        date_stats[date_str] = {
                            'balance': 0.0,
                            'deposit': 0.0,
                            'withdrawal': 0.0,
                            'has_balance': False
                        }
                    
                    lz_amount = float(fund_data.get('lz_amount', 0))
                    
                    if lz_type == 'lz_balance':
                        date_stats[date_str]['balance'] = lz_amount
                        date_stats[date_str]['has_balance'] = True
                    elif lz_type == 'deposit':
                        date_stats[date_str]['deposit'] += lz_amount
                    elif lz_type == 'withdrawal':
                        date_stats[date_str]['withdrawal'] += lz_amount
                        
                except (json.JSONDecodeError, ValueError) as e:
                    logger.debug(f"解析Redis数据失败: {fund_key}, error={e}")
                    continue
            
            # 转换为账户信息数据
            account_data_list = []
            sorted_dates = sorted(date_stats.keys())
            
            # 获取前一天余额用于计算利润
            prev_balance_map = self._get_previous_balances(redis_funds, sorted_dates)
            
            for date_str in sorted_dates:
                stats = date_stats[date_str]
                
                # 如果没有余额数据但有充提数据，仍然处理
                if not stats['has_balance'] and stats['deposit'] == 0 and stats['withdrawal'] == 0:
                    continue
                
                balance = stats['balance']
                deposit = stats['deposit']
                withdrawal = stats['withdrawal']
                
                # 计算利润
                prev_balance = prev_balance_map.get(date_str, 0.0)
                profit = balance - deposit - withdrawal - prev_balance
                
                # 转换时间戳
                date_obj = datetime.strptime(date_str, '%Y-%m-%d')
                time_timestamp = int(date_obj.timestamp())
                
                account_data = {
                    'st_id': st_id,
                    'k_id': k_id,
                    'balance': balance,
                    'withdrawal': withdrawal,
                    'deposit': deposit,
                    'other': 0.0,  # 暂时为0
                    'profit': profit,
                    'time': time_timestamp
                }
                
                account_data_list.append(account_data)
            
            return account_data_list
            
        except Exception as e:
            logger.error(f"获取Redis账户信息失败: k_id={k_id}, error={e}")
            return []
    
    def _get_previous_balances(self, redis_funds: Dict, sorted_dates: List[str]) -> Dict[str, float]:
        """获取前一天的余额"""
        prev_balance_map = {}
        prev_date = None
        
        for date_str in sorted_dates:
            # 查找前一天的余额
            if prev_date:
                for fund_key, fund_json in redis_funds.items():
                    try:
                        fund_data = json.loads(fund_json)
                        if (fund_data.get('lz_time') == prev_date and 
                            fund_data.get('lz_type') == 'lz_balance'):
                            prev_balance_map[date_str] = float(fund_data.get('lz_amount', 0))
                            break
                    except:
                        continue
            else:
                prev_balance_map[date_str] = 0.0
            
            prev_date = date_str
        
        return prev_balance_map
    
    async def _sync_account_info_batch_to_db(self, account_data_list: List[Dict]) -> bool:
        """批量同步账户信息到数据库（最高效版本）"""
        session = self.db_manager.get_session()
        try:
            if not account_data_list:
                return True
            
            with session.begin():
                # 方法1：使用原生SQL批量插入/更新（性能最好）
                success = self._batch_upsert_account_info(session, account_data_list)
                
                if not success:
                    # 方法2：回退到ORM批量操作
                    success = self._batch_orm_upsert_account_info(session, account_data_list)
            
            return success
            
        except Exception as e:
            logger.error(f"批量同步账户信息到数据库失败: {e}")
            return False
        finally:
            session.close()
    
    def _batch_upsert_account_info(self, session, account_data_list: List[Dict]) -> bool:
        """使用原生SQL批量插入/更新账户信息"""
        try:
            # 准备批量数据
            values_list = []
            for data in account_data_list:
                values = (
                    f"({data['st_id']}, {data['k_id']}, 'USDT', "
                    f"{data['balance']}, {data['withdrawal']}, {data['deposit']}, "
                    f"{data['other']}, {data['profit']}, {data['time']})"
                )
                values_list.append(values)
            
            if not values_list:
                return True
            
            values_str = ", ".join(values_list)
            
            # 使用INSERT ... ON DUPLICATE KEY UPDATE
            sql = f"""
            INSERT INTO deh_strategy_kx_new 
            (st_id, k_id, asset, balance, withdrawal, deposit, other, profit, time)
            VALUES {values_str}
            ON DUPLICATE KEY UPDATE
                balance = VALUES(balance),
                withdrawal = VALUES(withdrawal),
                deposit = VALUES(deposit),
                other = VALUES(other),
                profit = VALUES(profit),
                up_time = NOW()
            """
            
            session.execute(text(sql))
            
            logger.info(f"原生SQL批量更新账户信息: {len(account_data_list)} 条记录")
            return True
            
        except Exception as e:
            logger.error(f"原生SQL批量更新账户信息失败: {e}")
            return False
    
    def _batch_orm_upsert_account_info(self, session, account_data_list: List[Dict]) -> bool:
        """使用ORM批量插入/更新账户信息"""
        try:
            # 分组数据以提高效率
            account_data_by_key = {}
            for data in account_data_list:
                key = (data['k_id'], data['st_id'], data['time'])
                account_data_by_key[key] = data
            
            # 批量查询现有记录
            existing_records = self._batch_query_existing_records(session, list(account_data_by_key.keys()))
            
            # 批量更新或插入
            to_update = []
            to_insert = []
            
            for key, data in account_data_by_key.items():
                if key in existing_records:
                    # 更新
                    record = existing_records[key]
                    record.balance = data['balance']
                    record.withdrawal = data['withdrawal']
                    record.deposit = data['deposit']
                    record.other = data['other']
                    record.profit = data['profit']
                else:
                    # 插入
                    to_insert.append(StrategyKX(**data))
            
            # 批量插入新记录
            if to_insert:
                session.add_all(to_insert)
            
            logger.info(f"ORM批量更新账户信息: 更新 {len(existing_records)} 条，插入 {len(to_insert)} 条")
            return True
            
        except Exception as e:
            logger.error(f"ORM批量更新账户信息失败: {e}")
            return False
    
    def _batch_query_existing_records(self, session, keys: List[tuple]) -> Dict[tuple, StrategyKX]:
        """批量查询现有记录"""
        existing_records = {}
        
        try:
            if not keys:
                return existing_records
            
            # 构建查询条件
            conditions = []
            for k_id, st_id, time_val in keys:
                conditions.append(f"(k_id = {k_id} AND st_id = {st_id} AND time = {time_val})")
            
            if conditions:
                conditions_str = " OR ".join(conditions)
                sql = f"""
                SELECT * FROM deh_strategy_kx_new 
                WHERE {conditions_str}
                """
                
                results = session.execute(text(sql)).fetchall()
                
                for row in results:
                    key = (row.k_id, row.st_id, row.time)
                    existing_records[key] = StrategyKX(
                        id=row.id,
                        st_id=row.st_id,
                        k_id=row.k_id,
                        asset=row.asset,
                        balance=row.balance,
                        withdrawal=row.withdrawal,
                        deposit=row.deposit,
                        other=row.other,
                        profit=row.profit,
                        time=row.time
                    )
            
        except Exception as e:
            logger.error(f"批量查询现有记录失败: {e}")
        
        return existing_records
    
    async def sync(self):
        """兼容旧接口"""
        accounts = self.get_accounts_from_redis()
        await self.sync_batch(accounts)