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lz_db
366
sync/account_sync_batch.py
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366
sync/account_sync_batch.py
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from .base_sync import BaseSync
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from loguru import logger
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from typing import List, Dict, Any, Set
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import json
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import time
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from datetime import datetime, timedelta
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from sqlalchemy import text, and_
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from models.orm_models import StrategyKX
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class AccountSyncBatch(BaseSync):
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"""账户信息批量同步器"""
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async def sync_batch(self, accounts: Dict[str, Dict]):
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"""批量同步所有账号的账户信息"""
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try:
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logger.info(f"开始批量同步账户信息，共 {len(accounts)} 个账号")
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# 收集所有账号的数据
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all_account_data = await self._collect_all_account_data(accounts)
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if not all_account_data:
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logger.info("无账户信息数据需要同步")
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return
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# 批量同步到数据库
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success = await self._sync_account_info_batch_to_db(all_account_data)
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if success:
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logger.info(f"账户信息批量同步完成: 处理 {len(all_account_data)} 条记录")
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else:
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logger.error("账户信息批量同步失败")
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except Exception as e:
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logger.error(f"账户信息批量同步失败: {e}")
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async def _collect_all_account_data(self, accounts: Dict[str, Dict]) -> List[Dict]:
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"""收集所有账号的账户信息数据"""
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all_account_data = []
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try:
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# 按交易所分组账号
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account_groups = self._group_accounts_by_exchange(accounts)
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# 并发收集每个交易所的数据
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tasks = []
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for exchange_id, account_list in account_groups.items():
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task = self._collect_exchange_account_data(exchange_id, account_list)
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tasks.append(task)
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# 等待所有任务完成并合并结果
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results = await asyncio.gather(*tasks, return_exceptions=True)
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for result in results:
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if isinstance(result, list):
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all_account_data.extend(result)
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logger.info(f"收集到 {len(all_account_data)} 条账户信息记录")
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except Exception as e:
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logger.error(f"收集账户信息数据失败: {e}")
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return all_account_data
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def _group_accounts_by_exchange(self, accounts: Dict[str, Dict]) -> Dict[str, List[Dict]]:
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"""按交易所分组账号"""
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groups = {}
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for account_id, account_info in accounts.items():
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exchange_id = account_info.get('exchange_id')
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if exchange_id:
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if exchange_id not in groups:
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groups[exchange_id] = []
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groups[exchange_id].append(account_info)
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return groups
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async def _collect_exchange_account_data(self, exchange_id: str, account_list: List[Dict]) -> List[Dict]:
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"""收集某个交易所的账户信息数据"""
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account_data_list = []
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try:
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for account_info in account_list:
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k_id = int(account_info['k_id'])
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st_id = account_info.get('st_id', 0)
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# 从Redis获取账户信息数据
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account_data = await self._get_account_info_from_redis(k_id, st_id, exchange_id)
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account_data_list.extend(account_data)
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logger.debug(f"交易所 {exchange_id}: 收集到 {len(account_data_list)} 条账户信息")
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except Exception as e:
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logger.error(f"收集交易所 {exchange_id} 账户信息失败: {e}")
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return account_data_list
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async def _get_account_info_from_redis(self, k_id: int, st_id: int, exchange_id: str) -> List[Dict]:
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"""从Redis获取账户信息数据（批量优化版本）"""
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try:
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redis_key = f"{exchange_id}:balance:{k_id}"
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redis_funds = self.redis_client.client.hgetall(redis_key)
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if not redis_funds:
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return []
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# 按天统计数据
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from config.settings import SYNC_CONFIG
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recent_days = SYNC_CONFIG['recent_days']
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today = datetime.now()
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date_stats = {}
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# 收集所有日期的数据
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for fund_key, fund_json in redis_funds.items():
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try:
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fund_data = json.loads(fund_json)
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date_str = fund_data.get('lz_time', '')
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lz_type = fund_data.get('lz_type', '')
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if not date_str or lz_type not in ['lz_balance', 'deposit', 'withdrawal']:
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continue
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# 只处理最近N天的数据
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date_obj = datetime.strptime(date_str, '%Y-%m-%d')
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if (today - date_obj).days > recent_days:
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continue
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if date_str not in date_stats:
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date_stats[date_str] = {
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'balance': 0.0,
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'deposit': 0.0,
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'withdrawal': 0.0,
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'has_balance': False
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}
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lz_amount = float(fund_data.get('lz_amount', 0))
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if lz_type == 'lz_balance':
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date_stats[date_str]['balance'] = lz_amount
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date_stats[date_str]['has_balance'] = True
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elif lz_type == 'deposit':
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date_stats[date_str]['deposit'] += lz_amount
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elif lz_type == 'withdrawal':
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date_stats[date_str]['withdrawal'] += lz_amount
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except (json.JSONDecodeError, ValueError) as e:
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logger.debug(f"解析Redis数据失败: {fund_key}, error={e}")
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continue
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# 转换为账户信息数据
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account_data_list = []
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sorted_dates = sorted(date_stats.keys())
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# 获取前一天余额用于计算利润
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prev_balance_map = self._get_previous_balances(redis_funds, sorted_dates)
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for date_str in sorted_dates:
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stats = date_stats[date_str]
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# 如果没有余额数据但有充提数据，仍然处理
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if not stats['has_balance'] and stats['deposit'] == 0 and stats['withdrawal'] == 0:
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continue
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balance = stats['balance']
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deposit = stats['deposit']
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withdrawal = stats['withdrawal']
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# 计算利润
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prev_balance = prev_balance_map.get(date_str, 0.0)
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profit = balance - deposit - withdrawal - prev_balance
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# 转换时间戳
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date_obj = datetime.strptime(date_str, '%Y-%m-%d')
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time_timestamp = int(date_obj.timestamp())
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account_data = {
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'st_id': st_id,
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'k_id': k_id,
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'balance': balance,
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'withdrawal': withdrawal,
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'deposit': deposit,
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'other': 0.0, # 暂时为0
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'profit': profit,
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'time': time_timestamp
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}
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account_data_list.append(account_data)
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return account_data_list
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except Exception as e:
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logger.error(f"获取Redis账户信息失败: k_id={k_id}, error={e}")
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return []
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def _get_previous_balances(self, redis_funds: Dict, sorted_dates: List[str]) -> Dict[str, float]:
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"""获取前一天的余额"""
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prev_balance_map = {}
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prev_date = None
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for date_str in sorted_dates:
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# 查找前一天的余额
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if prev_date:
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for fund_key, fund_json in redis_funds.items():
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try:
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fund_data = json.loads(fund_json)
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if (fund_data.get('lz_time') == prev_date and
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fund_data.get('lz_type') == 'lz_balance'):
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prev_balance_map[date_str] = float(fund_data.get('lz_amount', 0))
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break
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except:
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continue
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else:
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prev_balance_map[date_str] = 0.0
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prev_date = date_str
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return prev_balance_map
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async def _sync_account_info_batch_to_db(self, account_data_list: List[Dict]) -> bool:
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"""批量同步账户信息到数据库（最高效版本）"""
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session = self.db_manager.get_session()
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try:
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if not account_data_list:
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return True
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with session.begin():
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# 方法1：使用原生SQL批量插入/更新（性能最好）
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success = self._batch_upsert_account_info(session, account_data_list)
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if not success:
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# 方法2：回退到ORM批量操作
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success = self._batch_orm_upsert_account_info(session, account_data_list)
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return success
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except Exception as e:
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logger.error(f"批量同步账户信息到数据库失败: {e}")
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return False
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finally:
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session.close()
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def _batch_upsert_account_info(self, session, account_data_list: List[Dict]) -> bool:
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"""使用原生SQL批量插入/更新账户信息"""
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try:
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# 准备批量数据
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values_list = []
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for data in account_data_list:
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values = (
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f"({data['st_id']}, {data['k_id']}, 'USDT', "
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f"{data['balance']}, {data['withdrawal']}, {data['deposit']}, "
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f"{data['other']}, {data['profit']}, {data['time']})"
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)
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values_list.append(values)
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if not values_list:
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return True
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values_str = ", ".join(values_list)
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# 使用INSERT ... ON DUPLICATE KEY UPDATE
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sql = f"""
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INSERT INTO deh_strategy_kx_new
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(st_id, k_id, asset, balance, withdrawal, deposit, other, profit, time)
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VALUES {values_str}
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ON DUPLICATE KEY UPDATE
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balance = VALUES(balance),
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withdrawal = VALUES(withdrawal),
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deposit = VALUES(deposit),
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other = VALUES(other),
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profit = VALUES(profit),
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up_time = NOW()
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"""
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session.execute(text(sql))
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logger.info(f"原生SQL批量更新账户信息: {len(account_data_list)} 条记录")
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return True
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except Exception as e:
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logger.error(f"原生SQL批量更新账户信息失败: {e}")
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return False
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def _batch_orm_upsert_account_info(self, session, account_data_list: List[Dict]) -> bool:
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"""使用ORM批量插入/更新账户信息"""
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try:
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# 分组数据以提高效率
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account_data_by_key = {}
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for data in account_data_list:
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key = (data['k_id'], data['st_id'], data['time'])
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account_data_by_key[key] = data
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# 批量查询现有记录
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existing_records = self._batch_query_existing_records(session, list(account_data_by_key.keys()))
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# 批量更新或插入
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to_update = []
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to_insert = []
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for key, data in account_data_by_key.items():
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if key in existing_records:
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# 更新
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record = existing_records[key]
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record.balance = data['balance']
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record.withdrawal = data['withdrawal']
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record.deposit = data['deposit']
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record.other = data['other']
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record.profit = data['profit']
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else:
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# 插入
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to_insert.append(StrategyKX(**data))
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# 批量插入新记录
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if to_insert:
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session.add_all(to_insert)
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logger.info(f"ORM批量更新账户信息: 更新 {len(existing_records)} 条，插入 {len(to_insert)} 条")
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return True
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except Exception as e:
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logger.error(f"ORM批量更新账户信息失败: {e}")
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return False
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def _batch_query_existing_records(self, session, keys: List[tuple]) -> Dict[tuple, StrategyKX]:
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"""批量查询现有记录"""
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existing_records = {}
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try:
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if not keys:
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return existing_records
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# 构建查询条件
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conditions = []
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for k_id, st_id, time_val in keys:
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conditions.append(f"(k_id = {k_id} AND st_id = {st_id} AND time = {time_val})")
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if conditions:
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conditions_str = " OR ".join(conditions)
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sql = f"""
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SELECT * FROM deh_strategy_kx_new
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WHERE {conditions_str}
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"""
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results = session.execute(text(sql)).fetchall()
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for row in results:
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key = (row.k_id, row.st_id, row.time)
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existing_records[key] = StrategyKX(
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id=row.id,
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st_id=row.st_id,
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k_id=row.k_id,
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asset=row.asset,
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balance=row.balance,
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withdrawal=row.withdrawal,
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deposit=row.deposit,
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other=row.other,
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profit=row.profit,
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time=row.time
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)
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except Exception as e:
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logger.error(f"批量查询现有记录失败: {e}")
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return existing_records
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async def sync(self):
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"""兼容旧接口"""
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accounts = self.get_accounts_from_redis()
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await self.sync_batch(accounts)
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