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"""
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缓存管理服务
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"""
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import asyncio
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import logging
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from typing import List, Dict, Optional
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from datetime import date, datetime
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from sqlalchemy.orm import Session
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from sqlalchemy import and_, func
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from app.models.cache import CacheTask, CacheTaskDetail
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from app.models.stock import StockKlineDaily
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from app.models.future import FutureKlineDaily
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from app.services.base_data_service import BaseDataService
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from app.services.stock_service import StockService
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from app.services.future_service import FutureService
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from app.services.sdk_manager import sdk_manager
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from app.utils.date_utils import parse_date, format_date, get_market_from_code
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from app.config import settings
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from app.core.redis_client import redis_client
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from app.core.progress_manager import progress_manager
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logger = logging.getLogger(__name__)
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class CacheService:
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"""缓存服务"""
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CODE_LIST_CACHE_EXPIRE = 12 * 60 * 60
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def __init__(self, db: Session):
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self.db = db
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self.base_service = BaseDataService(db)
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self.stock_service = StockService(db)
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self.future_service = FutureService(db)
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def get_all_codes(self, security_type: str, contract_type: str = "all") -> List[str]:
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"""
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获取所有代码列表（带Redis缓存）
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Args:
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security_type: 证券类型 (stock, future)
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contract_type: 合约类型 (all, main) - 仅对期货有效
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Returns:
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代码列表
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"""
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cache_key = f"code_list:{security_type}:{contract_type}"
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cached_codes = redis_client.get(cache_key)
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if cached_codes is not None:
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logger.info(f"从Redis缓存获取代码列表: {security_type}/{contract_type}, 共{len(cached_codes)}个")
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return cached_codes
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adapter = sdk_manager.get_default_connection()
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if not adapter:
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raise RuntimeError("SDK连接失败")
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codes = []
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if security_type == "stock":
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codes = adapter.get_code_list("EXTRA_STOCK_A")
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elif security_type == "future":
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if contract_type == "main":
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main_contracts = adapter.get_all_main_contracts()
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codes = list(main_contracts.values())
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else:
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codes = adapter.get_code_list("EXTRA_FUTURE")
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if codes:
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redis_client.set(cache_key, codes, expire=self.CODE_LIST_CACHE_EXPIRE)
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logger.info(f"代码列表已缓存到Redis: {security_type}/{contract_type}, 共{len(codes)}个, 有效期12小时")
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return codes
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def get_future_varieties(self) -> List[str]:
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"""获取期货品种列表（带Redis缓存）"""
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cache_key = "future_varieties"
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cached = redis_client.get(cache_key)
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if cached is not None:
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logger.info(f"从Redis缓存获取期货品种列表, 共{len(cached)}个")
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return cached
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adapter = sdk_manager.get_default_connection()
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if not adapter:
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raise RuntimeError("SDK连接失败")
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varieties = adapter.get_future_varieties()
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if varieties:
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redis_client.set(cache_key, varieties, expire=24 * 60 * 60)
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logger.info(f"期货品种列表已缓存到Redis, 共{len(varieties)}个, 有效期24小时")
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return varieties
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def get_trading_calendar_cached(self, market: str, start_date: date = None, end_date: date = None) -> List[date]:
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"""获取交易日历（带Redis缓存）"""
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cache_key = f"trading_calendar:{market}"
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cached = redis_client.get(cache_key)
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if cached is not None:
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logger.info(f"从Redis缓存获取交易日历: {market}")
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from app.utils.date_utils import int_to_date
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all_dates = [int_to_date(d) for d in cached]
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if start_date:
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all_dates = [d for d in all_dates if d >= start_date]
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if end_date:
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all_dates = [d for d in all_dates if d <= end_date]
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return all_dates
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trading_days = self.base_service.get_trading_calendar(market)
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from app.utils.date_utils import date_to_int
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all_dates_int = [date_to_int(d) for d in trading_days]
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redis_client.set(cache_key, all_dates_int, expire=365 * 24 * 60 * 60)
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logger.info(f"交易日历已缓存到Redis: {market}, 有效期1年")
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return trading_days
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def get_main_contract_cached(self, variety: str) -> Optional[str]:
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"""获取主力合约（带Redis缓存）"""
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cache_key = f"main_contract:{variety}"
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cached = redis_client.get(cache_key)
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if cached is not None:
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logger.info(f"从Redis缓存获取主力合约: {variety} -> {cached}")
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return cached
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adapter = sdk_manager.get_default_connection()
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if not adapter:
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raise RuntimeError("SDK连接失败")
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main_contract = adapter.get_main_contract(variety)
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if main_contract:
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redis_client.set(cache_key, main_contract, expire=1 * 60 * 60)
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logger.info(f"主力合约已缓存到Redis: {variety} -> {main_contract}, 有效期1小时")
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return main_contract
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def get_all_main_contracts_cached(self) -> Dict[str, str]:
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"""获取所有主力合约（带Redis缓存）"""
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cache_key = "all_main_contracts"
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cached = redis_client.get(cache_key)
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if cached is not None:
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logger.info(f"从Redis缓存获取所有主力合约, 共{len(cached)}个")
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return cached
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adapter = sdk_manager.get_default_connection()
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if not adapter:
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raise RuntimeError("SDK连接失败")
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main_contracts = adapter.get_all_main_contracts()
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if main_contracts:
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redis_client.set(cache_key, main_contracts, expire=1 * 60 * 60)
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logger.info(f"所有主力合约已缓存到Redis, 共{len(main_contracts)}个, 有效期1小时")
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return main_contracts
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def detect_all_missing_data(
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self,
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security_type: str,
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period_type: str,
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start_date: date,
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end_date: date,
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contract_type: str = "all",
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task_id: str = None
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) -> Dict:
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"""
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|
一键检测所有数据的缺失情况
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Args:
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security_type: 证券类型 (stock, future)
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period_type: 周期类型 (daily, min1, etc.)
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start_date: 开始日期
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end_date: 结束日期
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contract_type: 合约类型 (all, main) - 仅对期货有效
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task_id: WebSocket任务ID
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Returns:
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检测结果字典
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"""
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code_list = self.get_all_codes(security_type, contract_type)
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if not code_list:
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raise ValueError(f"无法获取{security_type}代码列表")
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logger.info(f"获取到{len(code_list)}个{security_type}代码")
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ws_task_id = task_id or f"detect_{security_type}_{datetime.utcnow().strftime('%Y%m%d%H%M%S')}"
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def push_progress(progress, status, **kwargs):
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try:
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loop = asyncio.get_event_loop()
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if loop.is_running():
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asyncio.create_task(progress_manager.update_progress(ws_task_id, {
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"progress": progress,
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"status": status,
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"total_count": len(code_list),
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**kwargs
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}))
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except RuntimeError:
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pass
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push_progress(0, "starting", message="开始检测...")
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task = CacheTask(
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task_name=f"一键检测所有数据 - {security_type} - {contract_type} - {len(code_list)}个代码",
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task_type="detect_all_missing",
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security_type=security_type,
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period_type=period_type,
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start_date=start_date,
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end_date=end_date,
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code_list=",".join(code_list[:100]) + "...",
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status="running",
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total_count=len(code_list),
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started_at=datetime.utcnow()
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)
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self.db.add(task)
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self.db.commit()
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self.db.refresh(task)
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push_progress(5, "running", message="获取交易日历...")
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try:
|
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market = "CFE" if security_type == "future" else "SH"
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trading_days = self.base_service.get_trading_calendar(market, start_date, end_date)
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expected_count = len(trading_days)
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missing_codes = []
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complete_codes = []
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error_count = 0
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|
|
daily_stats = {}
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|
for td in trading_days:
|
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daily_stats[format_date(td)] = {
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|
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"expected": len(code_list),
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"actual": 0,
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"missing": 0
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}
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push_progress(10, "running", message="查询数据库统计...")
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|
|
if security_type == "stock" and period_type == "daily":
|
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|
from sqlalchemy import func
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|
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|
code_count_query = self.db.query(
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StockKlineDaily.code,
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func.count(StockKlineDaily.id).label('count')
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|
).filter(
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|
and_(
|
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|
StockKlineDaily.trade_date >= start_date,
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|
StockKlineDaily.trade_date <= end_date
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)
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).group_by(StockKlineDaily.code).all()
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code_counts = {r.code: r.count for r in code_count_query}
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date_count_query = self.db.query(
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func.date(StockKlineDaily.trade_date).label('trade_date'),
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|
func.count(StockKlineDaily.id).label('count')
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|
).filter(
|
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|
and_(
|
|
|
StockKlineDaily.trade_date >= start_date,
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|
StockKlineDaily.trade_date <= end_date
|
|
|
)
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).group_by(func.date(StockKlineDaily.trade_date)).all()
|
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|
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for r in date_count_query:
|
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|
date_key = format_date(r.trade_date) if hasattr(r.trade_date, 'strftime') else str(r.trade_date)
|
|
|
if date_key in daily_stats:
|
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|
daily_stats[date_key]["actual"] = r.count
|
|
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|
|
|
push_progress(20, "running", message="分析数据完整性...")
|
|
|
|
|
|
for i, code in enumerate(code_list):
|
|
|
actual_count = code_counts.get(code, 0)
|
|
|
is_missing = actual_count < expected_count
|
|
|
|
|
|
if is_missing:
|
|
|
missing_codes.append({
|
|
|
"code": code,
|
|
|
"actual_count": actual_count,
|
|
|
"expected_count": expected_count,
|
|
|
"missing_count": expected_count - actual_count,
|
|
|
"missing_ratio": (expected_count - actual_count) / expected_count if expected_count > 0 else 0
|
|
|
})
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=actual_count,
|
|
|
is_missing=True,
|
|
|
status="pending"
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
else:
|
|
|
complete_codes.append(code)
|
|
|
|
|
|
if (i + 1) % 500 == 0 or i == len(code_list) - 1:
|
|
|
task.success_count = len(missing_codes) + len(complete_codes)
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
push_progress(
|
|
|
20 + int((i + 1) / len(code_list) * 70),
|
|
|
"running",
|
|
|
processed=len(missing_codes) + len(complete_codes),
|
|
|
missing=len(missing_codes),
|
|
|
complete=len(complete_codes)
|
|
|
)
|
|
|
|
|
|
elif security_type == "future" and period_type == "daily":
|
|
|
from sqlalchemy import func
|
|
|
|
|
|
code_count_query = self.db.query(
|
|
|
FutureKlineDaily.code,
|
|
|
func.count(FutureKlineDaily.id).label('count')
|
|
|
).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).group_by(FutureKlineDaily.code).all()
|
|
|
|
|
|
code_counts = {r.code: r.count for r in code_count_query}
|
|
|
|
|
|
date_count_query = self.db.query(
|
|
|
func.date(FutureKlineDaily.trade_date).label('trade_date'),
|
|
|
func.count(FutureKlineDaily.id).label('count')
|
|
|
).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).group_by(func.date(FutureKlineDaily.trade_date)).all()
|
|
|
|
|
|
for r in date_count_query:
|
|
|
date_key = format_date(r.trade_date) if hasattr(r.trade_date, 'strftime') else str(r.trade_date)
|
|
|
if date_key in daily_stats:
|
|
|
daily_stats[date_key]["actual"] = r.count
|
|
|
|
|
|
push_progress(20, "running", message="分析数据完整性...")
|
|
|
|
|
|
for i, code in enumerate(code_list):
|
|
|
actual_count = code_counts.get(code, 0)
|
|
|
is_missing = actual_count < expected_count
|
|
|
|
|
|
if is_missing:
|
|
|
missing_codes.append({
|
|
|
"code": code,
|
|
|
"actual_count": actual_count,
|
|
|
"expected_count": expected_count,
|
|
|
"missing_count": expected_count - actual_count,
|
|
|
"missing_ratio": (expected_count - actual_count) / expected_count if expected_count > 0 else 0
|
|
|
})
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=actual_count,
|
|
|
is_missing=True,
|
|
|
status="pending"
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
else:
|
|
|
complete_codes.append(code)
|
|
|
|
|
|
if (i + 1) % 500 == 0 or i == len(code_list) - 1:
|
|
|
task.success_count = len(missing_codes) + len(complete_codes)
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
push_progress(
|
|
|
20 + int((i + 1) / len(code_list) * 70),
|
|
|
"running",
|
|
|
processed=len(missing_codes) + len(complete_codes),
|
|
|
missing=len(missing_codes),
|
|
|
complete=len(complete_codes)
|
|
|
)
|
|
|
else:
|
|
|
for i, code in enumerate(code_list):
|
|
|
actual_count = 0
|
|
|
is_missing = True
|
|
|
|
|
|
missing_codes.append({
|
|
|
"code": code,
|
|
|
"actual_count": 0,
|
|
|
"expected_count": expected_count,
|
|
|
"missing_count": expected_count,
|
|
|
"missing_ratio": 1.0
|
|
|
})
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=0,
|
|
|
is_missing=True,
|
|
|
status="pending"
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
if (i + 1) % 500 == 0 or i == len(code_list) - 1:
|
|
|
task.success_count = len(missing_codes)
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
push_progress(
|
|
|
20 + int((i + 1) / len(code_list) * 70),
|
|
|
"running",
|
|
|
processed=len(missing_codes),
|
|
|
missing=len(missing_codes)
|
|
|
)
|
|
|
|
|
|
for date_key in daily_stats:
|
|
|
daily_stats[date_key]["missing"] = daily_stats[date_key]["expected"] - daily_stats[date_key]["actual"]
|
|
|
|
|
|
missing_code_list = [m["code"] for m in missing_codes]
|
|
|
task.code_list = ",".join(missing_code_list[:500]) if missing_code_list else ""
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.success_count = len(complete_codes)
|
|
|
task.error_count = error_count
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
push_progress(100, "completed",
|
|
|
message="检测完成",
|
|
|
complete_count=len(complete_codes),
|
|
|
missing_count=len(missing_codes),
|
|
|
error_count=error_count
|
|
|
)
|
|
|
|
|
|
logger.info(f"检测完成: 完整{len(complete_codes)}个, 缺失{len(missing_codes)}个, 错误{error_count}个")
|
|
|
|
|
|
return {
|
|
|
"task_id": task.id,
|
|
|
"ws_task_id": ws_task_id,
|
|
|
"task_name": task.task_name,
|
|
|
"status": task.status,
|
|
|
"progress": float(task.progress),
|
|
|
"total_count": task.total_count,
|
|
|
"complete_count": len(complete_codes),
|
|
|
"missing_count": len(missing_codes),
|
|
|
"error_count": error_count,
|
|
|
"expected_days": expected_count,
|
|
|
"start_date": format_date(start_date),
|
|
|
"end_date": format_date(end_date),
|
|
|
"security_type": security_type,
|
|
|
"period_type": period_type,
|
|
|
"daily_stats": daily_stats,
|
|
|
"missing_codes": missing_codes[:100],
|
|
|
"missing_code_list": missing_code_list
|
|
|
}
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
logger.error(f"一键检测缺失数据任务失败: {str(e)}")
|
|
|
|
|
|
push_progress(100, "failed", error=str(e))
|
|
|
|
|
|
return {
|
|
|
"task_id": task.id,
|
|
|
"ws_task_id": ws_task_id,
|
|
|
"task_name": task.task_name,
|
|
|
"status": task.status,
|
|
|
"error_message": str(e)
|
|
|
}
|
|
|
|
|
|
def _create_cache_task(
|
|
|
self,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
contract_type: str = "all"
|
|
|
) -> CacheTask:
|
|
|
"""创建缓存任务记录"""
|
|
|
code_list = self.get_all_codes(security_type, contract_type)
|
|
|
|
|
|
if not code_list:
|
|
|
raise ValueError(f"无法获取{security_type}代码列表")
|
|
|
|
|
|
task = CacheTask(
|
|
|
task_name=f"一键缓存所有数据 - {security_type} - {contract_type} - {len(code_list)}个代码",
|
|
|
task_type="cache_all_data",
|
|
|
security_type=security_type,
|
|
|
period_type=period_type,
|
|
|
start_date=start_date,
|
|
|
end_date=end_date,
|
|
|
code_list=",".join(code_list[:100]) + "...",
|
|
|
status="pending",
|
|
|
total_count=len(code_list),
|
|
|
started_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(task)
|
|
|
self.db.commit()
|
|
|
self.db.refresh(task)
|
|
|
|
|
|
return task
|
|
|
|
|
|
def _create_fill_missing_task(
|
|
|
self,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
missing_codes: List[str]
|
|
|
) -> CacheTask:
|
|
|
"""创建补齐缺失数据任务记录"""
|
|
|
if not missing_codes:
|
|
|
raise ValueError("没有缺失代码需要补齐")
|
|
|
|
|
|
task = CacheTask(
|
|
|
task_name=f"一键补齐缺失数据 - {security_type} - {len(missing_codes)}个代码",
|
|
|
task_type="fill_missing_data",
|
|
|
security_type=security_type,
|
|
|
period_type=period_type,
|
|
|
start_date=start_date,
|
|
|
end_date=end_date,
|
|
|
code_list=",".join(missing_codes[:500]),
|
|
|
status="pending",
|
|
|
total_count=len(missing_codes),
|
|
|
started_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(task)
|
|
|
self.db.commit()
|
|
|
self.db.refresh(task)
|
|
|
|
|
|
return task
|
|
|
|
|
|
def _execute_fill_missing_task(
|
|
|
self,
|
|
|
task_id: int,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
missing_codes: List[str]
|
|
|
):
|
|
|
"""执行补齐缺失数据任务"""
|
|
|
task = self.db.query(CacheTask).filter(CacheTask.id == task_id).first()
|
|
|
if not task:
|
|
|
return
|
|
|
|
|
|
task.status = "running"
|
|
|
self.db.commit()
|
|
|
|
|
|
try:
|
|
|
success_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for i, code in enumerate(missing_codes):
|
|
|
try:
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], start_date, end_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], start_date, end_date, period_type)
|
|
|
|
|
|
success_count += 1
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"补齐{code}数据失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
if (i + 1) % 10 == 0 or i == len(missing_codes) - 1:
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(missing_codes) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
def _execute_cache_task(
|
|
|
self,
|
|
|
task_id: int,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
contract_type: str = "all"
|
|
|
):
|
|
|
"""执行缓存任务"""
|
|
|
task = self.db.query(CacheTask).filter(CacheTask.id == task_id).first()
|
|
|
if not task:
|
|
|
return
|
|
|
|
|
|
task.status = "running"
|
|
|
self.db.commit()
|
|
|
|
|
|
code_list = self.get_all_codes(security_type, contract_type)
|
|
|
|
|
|
try:
|
|
|
market = "CFE" if security_type == "future" else "SH"
|
|
|
trading_days = self.base_service.get_trading_calendar(market, start_date, end_date)
|
|
|
expected_count = len(trading_days)
|
|
|
|
|
|
success_count = 0
|
|
|
skipped_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for i, code in enumerate(code_list):
|
|
|
try:
|
|
|
if security_type == "stock" and period_type == "daily":
|
|
|
actual_count = self.db.query(StockKlineDaily).filter(
|
|
|
and_(
|
|
|
StockKlineDaily.code == code,
|
|
|
StockKlineDaily.trade_date >= start_date,
|
|
|
StockKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
elif security_type == "future" and period_type == "daily":
|
|
|
actual_count = self.db.query(FutureKlineDaily).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.code == code,
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
else:
|
|
|
actual_count = 0
|
|
|
|
|
|
if actual_count >= expected_count:
|
|
|
skipped_count += 1
|
|
|
continue
|
|
|
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], start_date, end_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], start_date, end_date, period_type)
|
|
|
|
|
|
success_count += 1
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"缓存{code}数据失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
if (i + 1) % 10 == 0 or i == len(code_list) - 1:
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
def cache_all_missing_data(
|
|
|
self,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
contract_type: str = "all"
|
|
|
) -> CacheTask:
|
|
|
"""
|
|
|
一键缓存所有缺失数据
|
|
|
|
|
|
Args:
|
|
|
security_type: 证券类型
|
|
|
period_type: 周期类型
|
|
|
start_date: 开始日期
|
|
|
end_date: 结束日期
|
|
|
contract_type: 合约类型 (all, main) - 仅对期货有效
|
|
|
|
|
|
Returns:
|
|
|
缓存任务对象
|
|
|
"""
|
|
|
# 获取所有代码
|
|
|
code_list = self.get_all_codes(security_type, contract_type)
|
|
|
|
|
|
if not code_list:
|
|
|
raise ValueError(f"无法获取{security_type}代码列表")
|
|
|
|
|
|
logger.info(f"获取到{len(code_list)}个{security_type}代码，开始缓存")
|
|
|
|
|
|
# 创建缓存任务
|
|
|
task = CacheTask(
|
|
|
task_name=f"一键缓存所有数据 - {security_type} - {len(code_list)}个代码",
|
|
|
task_type="cache_all_data",
|
|
|
security_type=security_type,
|
|
|
period_type=period_type,
|
|
|
start_date=start_date,
|
|
|
end_date=end_date,
|
|
|
code_list=",".join(code_list[:100]) + "...",
|
|
|
status="running",
|
|
|
total_count=len(code_list),
|
|
|
started_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(task)
|
|
|
self.db.commit()
|
|
|
self.db.refresh(task)
|
|
|
|
|
|
try:
|
|
|
# 获取交易日历
|
|
|
market = "CFE" if security_type == "future" else "SH"
|
|
|
trading_days = self.base_service.get_trading_calendar(market, start_date, end_date)
|
|
|
expected_count = len(trading_days)
|
|
|
|
|
|
success_count = 0
|
|
|
skipped_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for i, code in enumerate(code_list):
|
|
|
try:
|
|
|
# 先检查是否已有完整数据
|
|
|
if security_type == "stock" and period_type == "daily":
|
|
|
actual_count = self.db.query(StockKlineDaily).filter(
|
|
|
and_(
|
|
|
StockKlineDaily.code == code,
|
|
|
StockKlineDaily.trade_date >= start_date,
|
|
|
StockKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
elif security_type == "future" and period_type == "daily":
|
|
|
actual_count = self.db.query(FutureKlineDaily).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.code == code,
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
else:
|
|
|
actual_count = 0
|
|
|
|
|
|
# 如果数据完整，跳过
|
|
|
if actual_count >= expected_count:
|
|
|
skipped_count += 1
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=actual_count,
|
|
|
is_missing=False,
|
|
|
status="skipped"
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
continue
|
|
|
|
|
|
# 获取数据（会自动缓存）
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], start_date, end_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], start_date, end_date, period_type)
|
|
|
|
|
|
success_count += 1
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=actual_count,
|
|
|
is_missing=True,
|
|
|
status="success",
|
|
|
processed_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"缓存{code}数据失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
status="failed",
|
|
|
error_message=str(e)
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
# 每50个代码更新一次进度
|
|
|
if (i + 1) % 50 == 0 or i == len(code_list) - 1:
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((i + 1) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
logger.info(f"进度: {i + 1}/{len(code_list)}, 成功: {success_count}, 跳过: {skipped_count}, 错误: {error_count}")
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
logger.info(f"缓存完成: 成功{success_count}个, 跳过{skipped_count}个, 错误{error_count}个")
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
logger.error(f"一键缓存数据任务失败: {str(e)}")
|
|
|
|
|
|
return task
|
|
|
|
|
|
def detect_missing_data(
|
|
|
self,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
code_list: List[str]
|
|
|
) -> CacheTask:
|
|
|
"""
|
|
|
检测缺失数据
|
|
|
|
|
|
Args:
|
|
|
security_type: 证券类型 (stock, future)
|
|
|
period_type: 周期类型 (daily, min1, etc.)
|
|
|
start_date: 开始日期
|
|
|
end_date: 结束日期
|
|
|
code_list: 代码列表
|
|
|
|
|
|
Returns:
|
|
|
缓存任务对象
|
|
|
"""
|
|
|
# 创建检测任务
|
|
|
task = CacheTask(
|
|
|
task_name=f"检测缺失数据 - {security_type} - {len(code_list)}个代码",
|
|
|
task_type="detect_missing",
|
|
|
security_type=security_type,
|
|
|
period_type=period_type,
|
|
|
start_date=start_date,
|
|
|
end_date=end_date,
|
|
|
code_list=",".join(code_list),
|
|
|
status="running",
|
|
|
total_count=len(code_list),
|
|
|
started_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(task)
|
|
|
self.db.commit()
|
|
|
self.db.refresh(task)
|
|
|
|
|
|
try:
|
|
|
# 获取交易日历
|
|
|
market = "CFE" if security_type == "future" else "SH"
|
|
|
trading_days = self.base_service.get_trading_calendar(market, start_date, end_date)
|
|
|
expected_count = len(trading_days)
|
|
|
|
|
|
success_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for code in code_list:
|
|
|
try:
|
|
|
# 查询实际数据量
|
|
|
if security_type == "stock" and period_type == "daily":
|
|
|
actual_count = self.db.query(StockKlineDaily).filter(
|
|
|
and_(
|
|
|
StockKlineDaily.code == code,
|
|
|
StockKlineDaily.trade_date >= start_date,
|
|
|
StockKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
elif security_type == "future" and period_type == "daily":
|
|
|
actual_count = self.db.query(FutureKlineDaily).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.code == code,
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).count()
|
|
|
else:
|
|
|
actual_count = 0
|
|
|
|
|
|
# 计算缺失率
|
|
|
missing_ratio = 0
|
|
|
if expected_count > 0:
|
|
|
missing_ratio = (expected_count - actual_count) / expected_count
|
|
|
|
|
|
is_missing = missing_ratio > settings.CACHE_MISSING_THRESHOLD
|
|
|
|
|
|
# 创建任务详情
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
expected_count=expected_count,
|
|
|
actual_count=actual_count,
|
|
|
is_missing=is_missing,
|
|
|
status="pending" if is_missing else "skipped"
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
if is_missing:
|
|
|
success_count += 1
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"检测{code}缺失数据失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
status="failed",
|
|
|
error_message=str(e)
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
# 更新进度
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((success_count + error_count) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
logger.error(f"检测缺失数据任务失败: {str(e)}")
|
|
|
|
|
|
return task
|
|
|
|
|
|
def batch_cache_data(
|
|
|
self,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
code_list: List[str]
|
|
|
) -> CacheTask:
|
|
|
"""
|
|
|
批量缓存数据
|
|
|
|
|
|
Args:
|
|
|
security_type: 证券类型
|
|
|
period_type: 周期类型
|
|
|
start_date: 开始日期
|
|
|
end_date: 结束日期
|
|
|
code_list: 代码列表
|
|
|
|
|
|
Returns:
|
|
|
缓存任务对象
|
|
|
"""
|
|
|
# 创建缓存任务
|
|
|
task = CacheTask(
|
|
|
task_name=f"批量缓存数据 - {security_type} - {len(code_list)}个代码",
|
|
|
task_type="cache_data",
|
|
|
security_type=security_type,
|
|
|
period_type=period_type,
|
|
|
start_date=start_date,
|
|
|
end_date=end_date,
|
|
|
code_list=",".join(code_list),
|
|
|
status="running",
|
|
|
total_count=len(code_list),
|
|
|
started_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(task)
|
|
|
self.db.commit()
|
|
|
self.db.refresh(task)
|
|
|
|
|
|
try:
|
|
|
success_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for code in code_list:
|
|
|
try:
|
|
|
# 获取数据（会自动缓存）
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], start_date, end_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], start_date, end_date, period_type)
|
|
|
|
|
|
success_count += 1
|
|
|
|
|
|
# 创建任务详情
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
status="success",
|
|
|
processed_at=datetime.utcnow()
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"缓存{code}数据失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
detail = CacheTaskDetail(
|
|
|
task_id=task.id,
|
|
|
code=code,
|
|
|
trade_date=start_date,
|
|
|
status="failed",
|
|
|
error_message=str(e)
|
|
|
)
|
|
|
self.db.add(detail)
|
|
|
|
|
|
# 更新进度
|
|
|
task.success_count = success_count
|
|
|
task.error_count = error_count
|
|
|
task.progress = min(100, int((success_count + error_count) / len(code_list) * 100))
|
|
|
self.db.commit()
|
|
|
|
|
|
task.status = "completed"
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
|
|
|
except Exception as e:
|
|
|
task.status = "failed"
|
|
|
task.error_message = str(e)
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
logger.error(f"批量缓存数据任务失败: {str(e)}")
|
|
|
|
|
|
return task
|
|
|
|
|
|
def get_tasks(
|
|
|
self,
|
|
|
page: int = 1,
|
|
|
page_size: int = 20
|
|
|
) -> Dict:
|
|
|
"""获取缓存任务列表"""
|
|
|
query = self.db.query(CacheTask).order_by(CacheTask.created_at.desc())
|
|
|
|
|
|
total = query.count()
|
|
|
tasks = query.offset((page - 1) * page_size).limit(page_size).all()
|
|
|
|
|
|
return {
|
|
|
"items": tasks,
|
|
|
"total": total,
|
|
|
"page": page,
|
|
|
"page_size": page_size,
|
|
|
"total_pages": (total + page_size - 1) // page_size
|
|
|
}
|
|
|
|
|
|
def get_task(self, task_id: int) -> Optional[CacheTask]:
|
|
|
"""获取任务详情"""
|
|
|
return self.db.query(CacheTask).filter(CacheTask.id == task_id).first()
|
|
|
|
|
|
def get_task_details(self, task_id: int) -> List[CacheTaskDetail]:
|
|
|
"""获取任务详情列表"""
|
|
|
return self.db.query(CacheTaskDetail).filter(
|
|
|
CacheTaskDetail.task_id == task_id
|
|
|
).all()
|
|
|
|
|
|
def cancel_task(self, task_id: int) -> bool:
|
|
|
"""取消任务"""
|
|
|
task = self.db.query(CacheTask).filter(CacheTask.id == task_id).first()
|
|
|
|
|
|
if task and task.status == "running":
|
|
|
task.status = "cancelled"
|
|
|
task.completed_at = datetime.utcnow()
|
|
|
self.db.commit()
|
|
|
return True
|
|
|
|
|
|
return False
|
|
|
|
|
|
def get_cache_status(self, code: str, security_type: str, period_type: str) -> Dict:
|
|
|
"""获取代码缓存状态"""
|
|
|
if security_type == "stock":
|
|
|
return self.stock_service.get_cache_status(code, period_type)
|
|
|
elif security_type == "future":
|
|
|
return self.future_service.get_cache_status(code, period_type)
|
|
|
else:
|
|
|
return {
|
|
|
"code": code,
|
|
|
"security_type": security_type,
|
|
|
"period_type": period_type,
|
|
|
"record_count": 0,
|
|
|
"min_date": None,
|
|
|
"max_date": None
|
|
|
}
|
|
|
|
|
|
def get_missing_dates_for_code(
|
|
|
self,
|
|
|
code: str,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date
|
|
|
) -> Dict:
|
|
|
"""
|
|
|
获取单个代码的缺失交易日详情
|
|
|
|
|
|
Args:
|
|
|
code: 证券代码
|
|
|
security_type: 证券类型 (stock, future)
|
|
|
period_type: 周期类型 (daily, min1, etc.)
|
|
|
start_date: 开始日期
|
|
|
end_date: 结束日期
|
|
|
|
|
|
Returns:
|
|
|
缺失交易日详情
|
|
|
"""
|
|
|
market = get_market_from_code(code)
|
|
|
trading_days = self.base_service.get_trading_calendar(market, start_date, end_date)
|
|
|
expected_dates = set(trading_days)
|
|
|
|
|
|
actual_dates = set()
|
|
|
|
|
|
if security_type == "stock" and period_type == "daily":
|
|
|
records = self.db.query(StockKlineDaily.trade_date).filter(
|
|
|
and_(
|
|
|
StockKlineDaily.code == code,
|
|
|
StockKlineDaily.trade_date >= start_date,
|
|
|
StockKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).all()
|
|
|
actual_dates = set(r.trade_date for r in records)
|
|
|
elif security_type == "future" and period_type == "daily":
|
|
|
records = self.db.query(FutureKlineDaily.trade_date).filter(
|
|
|
and_(
|
|
|
FutureKlineDaily.code == code,
|
|
|
FutureKlineDaily.trade_date >= start_date,
|
|
|
FutureKlineDaily.trade_date <= end_date
|
|
|
)
|
|
|
).all()
|
|
|
actual_dates = set(r.trade_date for r in records)
|
|
|
|
|
|
missing_dates = sorted(list(expected_dates - actual_dates))
|
|
|
|
|
|
missing_dates_list = []
|
|
|
for d in missing_dates:
|
|
|
missing_dates_list.append({
|
|
|
"date": format_date(d),
|
|
|
"date_obj": d.isoformat()
|
|
|
})
|
|
|
|
|
|
return {
|
|
|
"code": code,
|
|
|
"security_type": security_type,
|
|
|
"period_type": period_type,
|
|
|
"start_date": format_date(start_date),
|
|
|
"end_date": format_date(end_date),
|
|
|
"expected_count": len(expected_dates),
|
|
|
"actual_count": len(actual_dates),
|
|
|
"missing_count": len(missing_dates),
|
|
|
"missing_dates": missing_dates_list
|
|
|
}
|
|
|
|
|
|
def fill_single_date_data(
|
|
|
self,
|
|
|
code: str,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
trade_date: date
|
|
|
):
|
|
|
"""
|
|
|
补齐单个代码的单个交易日数据
|
|
|
|
|
|
Args:
|
|
|
code: 证券代码
|
|
|
security_type: 证券类型
|
|
|
period_type: 周期类型
|
|
|
trade_date: 交易日
|
|
|
"""
|
|
|
logger.info(f"补齐单日数据: {code} - {format_date(trade_date)}")
|
|
|
|
|
|
try:
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], trade_date, trade_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], trade_date, trade_date, period_type)
|
|
|
|
|
|
logger.info(f"补齐单日数据成功: {code} - {format_date(trade_date)}")
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"补齐单日数据失败: {code} - {format_date(trade_date)}, 错误: {str(e)}")
|
|
|
raise
|
|
|
|
|
|
def fill_all_dates_for_code(
|
|
|
self,
|
|
|
code: str,
|
|
|
security_type: str,
|
|
|
period_type: str,
|
|
|
start_date: date,
|
|
|
end_date: date,
|
|
|
missing_dates: List[str] = None
|
|
|
):
|
|
|
"""
|
|
|
补齐单个代码的所有缺失交易日数据
|
|
|
|
|
|
Args:
|
|
|
code: 证券代码
|
|
|
security_type: 证券类型
|
|
|
period_type: 周期类型
|
|
|
start_date: 开始日期
|
|
|
end_date: 结束日期
|
|
|
missing_dates: 缺失日期列表（可选，如果不提供则自动检测）
|
|
|
"""
|
|
|
logger.info(f"补齐所有数据: {code} - {format_date(start_date)} 到 {format_date(end_date)}")
|
|
|
|
|
|
if missing_dates:
|
|
|
from app.utils.date_utils import parse_date
|
|
|
dates_to_fill = [parse_date(d) for d in missing_dates]
|
|
|
else:
|
|
|
result = self.get_missing_dates_for_code(code, security_type, period_type, start_date, end_date)
|
|
|
dates_to_fill = [parse_date(d["date"]) for d in result["missing_dates"]]
|
|
|
|
|
|
if not dates_to_fill:
|
|
|
logger.info(f"没有缺失数据需要补齐: {code}")
|
|
|
return
|
|
|
|
|
|
success_count = 0
|
|
|
error_count = 0
|
|
|
|
|
|
for trade_date in dates_to_fill:
|
|
|
try:
|
|
|
if security_type == "stock":
|
|
|
self.stock_service.get_kline([code], trade_date, trade_date, period_type)
|
|
|
elif security_type == "future":
|
|
|
self.future_service.get_kline([code], trade_date, trade_date, period_type)
|
|
|
|
|
|
success_count += 1
|
|
|
|
|
|
except Exception as e:
|
|
|
logger.error(f"补齐{code} - {format_date(trade_date)}失败: {str(e)}")
|
|
|
error_count += 1
|
|
|
|
|
|
logger.info(f"补齐完成: {code}, 成功{success_count}个, 失败{error_count}个")
|
