Ejemplo n.º 1
0
 def update_implied_vol(start_date, end_date, force_update):
     """
     根据日期循环导入数到数据平台otc_position_snapshot表
     :param start_date:
     :param end_date:
     :param force_update:
     :return:
     """
     db_session = create_db_session()
     try:
         for index in range(0, (end_date - start_date).days + 1):
             report_date = (start_date + timedelta(index))
             logging.info('开始获取report_date: %s的数据' % report_date)
             clean_position_dict = ROTCPositionService.clean_one_day_implied_vol(
                 db_session, report_date)
             position_snapshots = ROTCPositionService.convert_data_to_position_snapshot(
                 clean_position_dict)
             exiting_trans_codes = OTCPositionSnapshotRepo.get_trans_codes_by_report_date(
                 db_session, report_date)
             ROTCPositionService.save_position_snapshot(
                 db_session, report_date, exiting_trans_codes,
                 position_snapshots, force_update)
     except Exception as e:
         logging.error('运行错误: %s' % e)
         db_session.close()
         raise Exception(e)
Ejemplo n.º 2
0
 def recon_all_instrument(self, start_date, end_date, fail_fast=False, dry_run=True, active_only=True,
                          ignore_milestone=False):
     logging.info("开始recon, %s %s" % (start_date.strftime('%Y%m%d'), end_date.strftime('%Y%m%d')))
     # 获取所有需要Recon的标的物,只处理状态为Active的标的物
     db_session = create_db_session()
     # 获取标的物
     all_instruments = self.load_instruments(db_session, active_only)
     logging.info("当前需要Recon的标的物总数为: %d:" % len(all_instruments))
     holidays = TradingCalendarRepo.get_holiday_list(db_session)
     db_session.close()
     # 并发进行recon
     with ThreadPoolExecutor(max_workers=8) as executor:
         # 开始并行向远程服务器请求数据
         all_task = [executor.submit(self.recon_one_instrument, (item, start_date, end_date, holidays, dry_run,
                                                                 ignore_milestone)) for item in all_instruments]
         # 处理Recon结果
         success_instruments = []
         failed_instruments = []
         for future in as_completed(all_task):
             instrument, status = future.result()
             if status is True:
                 success_instruments.append(instrument)
             else:
                 failed_instruments.append(instrument)
             logging.info("标的物处理结束: %s,处理结果为:%s" % (instrument.instrumentId, status))
             logging.info("当前处理成功的标的物:%d of %d,失败的标的物:%d of %d" %
                          (len(success_instruments), len(all_instruments), len(failed_instruments),
                           len(all_instruments)))
         if len(failed_instruments) != 0:
             err_msg = "处理失败的标的物为:%s" % ','.join([instrument.instrumentId for instrument in failed_instruments])
             logging.info(err_msg)
             if fail_fast:
                 raise Exception(err_msg)
         else:
             logging.info("完成Recon成功")
Ejemplo n.º 3
0
 def backfill_all_instruments(self, start_date, end_date, active_only=True, force_update=False):
     db_session = create_db_session()
     # 获取标的物
     all_instruments = self.load_instruments(db_session, active_only)
     logging.info("当前需要Backfill的标的物总数为: %d:" % len(all_instruments))
     holidays = TradingCalendarRepo.get_holiday_list(db_session)
     db_session.close()
     # 并发进行 backfiller
     with ThreadPoolExecutor(max_workers=8) as executor:
         # 开始并行向远程服务器请求数据
         all_task = [executor.submit(self.backfill_one_instrument, (item, start_date, end_date, holidays,
                                                               force_update)) for item in
                     all_instruments]
         # 处理Backfill结果
         success_instruments = []
         failed_instruments = []
         for future in as_completed(all_task):
             instrument, status = future.result()
             if status is True:
                 success_instruments.append(instrument)
             else:
                 failed_instruments.append(instrument)
             logging.info("标的物处理结束: %s,处理结果为:%s" % (instrument.instrumentId, status))
             logging.info("当前处理成功的标的物:%d of %d,失败的标的物:%d of %d" %
                          (len(success_instruments), len(all_instruments), len(failed_instruments),
                           len(all_instruments)))
         if len(failed_instruments) != 0:
             raise Exception(
                 "处理失败的标的物为:%s" % ','.join([instrument.instrumentId for instrument in failed_instruments]))
Ejemplo n.º 4
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    def recon_one_instrument(self, params):
        # 返回True或Fasle, 当前标的物是Clean则返回True
        instrument, start_date, end_date, holidays, dry_run, ignore_milestone = params
        db_session = create_db_session()
        try:
            logging.info("开始Recon标的物: %s" % instrument.instrumentId)
            # 获取标的物Milestone
            milestone = self.get_milestone(db_session, instrument)
            # 只处理标的物上市日期和退市日期之间的数据
            if instrument.listedDate is not None and start_date < instrument.listedDate:
                start_date = instrument.listedDate
            if instrument.delistedDate is not None and end_date > instrument.delistedDate:
                end_date = instrument.delistedDate
            # 计算需要Recon的日期,跳过节假日、周末和特殊日期
            special_dates = TradingCalendarRepo.load_special_dates(db_session, instrument)
            unchecked_trading_dates = self.get_unchecked_trading_dates(
                start_date, end_date, milestone, holidays, special_dates, ignore_milestone)
            # 获取标的物已经拥有的交易日
            existing_trading_dates = self.get_existing_trading_dates(db_session, instrument)
            # 计算出缺失数据
            missing_trading_dates = self.get_missing_trading_dates(instrument, unchecked_trading_dates,
                                                                   existing_trading_dates)
            # 对缺数数据进行处理
            if not dry_run:
                self.upsert_missing_trading_dates(db_session, instrument, missing_trading_dates)
            # TODO 需要对多余的数据进行处理
            # 计算出多余数据
            extra_trading_dates = []
            logging.info("Recon找到多余数据:%s -> %d 个Break" % (instrument.instrumentId, len(extra_trading_dates)))
            # 如果没有差值,则比较开始日期和Milestone,更新Milestone
            has_missing_dates = len(missing_trading_dates) != 0
            has_extra_dates = len(extra_trading_dates) != 0
            if (not has_missing_dates) and (not has_extra_dates) and (not dry_run):
                if start_date <= end_date:
                    self.upsert_milestone(db_session, instrument, start_date, end_date, milestone)
                else:
                    logging.info("标的物开始日期大于结束日期,不更新Milestone:%s [%s %s]" % (
                        instrument.instrumentId, start_date.strftime('%Y%m%d'), end_date.strftime('%Y%m%d')))

            return instrument, (not has_missing_dates) and (not has_extra_dates)
        except Exception as e:
            logging.error("Recon失败,标的物:%s, 异常:%s" % (instrument.instrumentId, e))
            return instrument, False
        finally:
            db_session.close()
Ejemplo n.º 5
0
 def backfill_one_instrument(self, params):
     instrument, start_date, end_date, holidays, force_update = params
     logging.info("开始Backfill标的物: %s, startDate: %s, endDate: %s" %
                  (instrument.instrumentId, start_date.strftime('%Y%m%d'),
                   end_date.strftime('%Y%m%d')))
     db_session = create_db_session()
     try:
         special_dates = TradingCalendarRepo.load_special_dates(
             db_session, instrument)
         option_close_breaks = self.get_recon_breaks(
             db_session, start_date, end_date, instrument)
         ret = self.backfill_multiple_option_close(db_session, instrument,
                                                   option_close_breaks,
                                                   holidays, special_dates)
         return instrument, ret
     except Exception as e:
         return instrument, False
     finally:
         db_session.close()
Ejemplo n.º 6
0
 def update_eod_date(start_date_str=EODDateConfig.eod_start_date,
                     end_date_str=DateTimeUtils.date2str(date.today()),
                     eod_cutoff_time=EODDateConfig.eod_cutoff_time):
     end_date = DateTimeUtils.str2date(end_date_str)
     start_date = DateTimeUtils.str2date(start_date_str)
     # 获取节假日信息
     db_session = create_db_session()
     # TODO: 需要从配置文件读取
     if not TradingDayService.is_trading_day(db_session, end_date):
         # 如果当天不是交易日则直接计算上一个交易日的值
         end_date = TradingDayService.go_trading_day(db_session, end_date, 1, -1)
     else:
         # 如果是交易日,小于cutoff time还是返回上一个交易日
         if datetime.now().time() < DateTimeUtils.str2time(eod_cutoff_time):
             end_date = TradingDayService.go_trading_day(db_session, end_date, 1, -1)
         else:
             end_date = end_date
     # 设置变量到airflow variable
     AirflowVariableUtils.set_eod_start_date(start_date)
     AirflowVariableUtils.set_eod_end_date(end_date)
    def calc_all_instrument_quote_vol_surface(observed_date):
        """
        从otc_option_quote表里取华泰的数据,格式化写入到vol_surface表中
        :return:
        """
        db_session = create_db_session()
        try:
            # 取所有instrument_id
            instrument_ids = OTCOptionQuoteRepo.get_instrument_ids_by_observe_date(
                db_session, observed_date)
            vol_surface_dbo_dict = {}
            for index, instrument_id in enumerate(instrument_ids):
                # 计算一个标的的vol_surface
                logger.info('准备加载的标的为: %s, 进度为: %d of %d' %
                            (instrument_id, index + 1, len(instrument_ids)))
                vol_surface_dbo = VolSurfaceSpiderService.calc_one_instrument_quote_vol_surface(
                    db_session, instrument_id, observed_date)
                if vol_surface_dbo is None:
                    continue
                vol_surface_dbo_dict[instrument_id] = vol_surface_dbo
                logger.info('成功计算了标的: %s的vol_surface, 进度为: %d of %d' %
                            (instrument_id, index + 1, len(instrument_ids)))

            # 获取所有的合约种类及其对应的主力合约
            holidays = TradingCalendarRepo.get_holiday_list(db_session)
            special_dates = []
            # 取上一个交易日
            last_trade_date = DateTimeUtils.get_trading_day(
                observed_date, holidays, special_dates, 1, -1)
            # 获取所有的主力合约
            contract_list = db_session.query(FutureContractInfo).filter(
                FutureContractInfo.tradeDate == last_trade_date).all()
            # 获取当天所有活跃的大宗期货合约
            active_instrument_list = db_session.query(Instrument).filter(
                and_(
                    Instrument.status ==
                    enum_dto.InstrumentStatusType.ACTIVE.name,
                    Instrument.assetClass ==
                    enum_dto.AssetClassType.COMMODITY.name,
                    Instrument.instrumentType ==
                    enum_dto.InstrumentType.FUTURE.name,
                    or_(Instrument.delistedDate is None,
                        Instrument.delistedDate > observed_date))).all()
            active_instrument_dict = {}
            for instrument in active_instrument_list:
                if instrument.contractType not in active_instrument_dict:
                    active_instrument_dict[instrument.contractType] = []
                active_instrument_dict[instrument.contractType].append(
                    instrument.instrumentId)
            # 所有标的都使用主力合约对应的波动率曲面
            vol_surface_dbos = []
            for contract in contract_list:
                primary_contract_id = contract.primaryContractId
                if primary_contract_id not in vol_surface_dbo_dict:
                    logger.warning('标的没有主力合约对应的波动率曲面:%s' % primary_contract_id)
                    continue
                variety_type = contract.contractType
                if variety_type not in active_instrument_dict:
                    logger.warning('主力合约没有活跃的合约:%s' % variety_type)
                    continue
                active_future_list = active_instrument_dict[variety_type]
                for instrument_id in active_future_list:
                    vol_surface_dbo = copy.deepcopy(
                        vol_surface_dbo_dict[primary_contract_id])
                    vol_surface_dbo.uuid = uuid.uuid1()
                    vol_surface_dbo.instrumentId = instrument_id
                    vol_surface_dbos.append(vol_surface_dbo)
            # 将波动率曲面写入数据库
            VolSurfaceRepo.insert_vol_surfaces(db_session, vol_surface_dbos)
            logger.info('爬虫vol surface计算完成')
        except Exception as e:
            logger.error(e)
def update_all_instrument_vol_surface_to_terminal(observed_date):
    db_session = create_db_session()
    holidays = TradingCalendarRepo.get_holiday_list(db_session)
    special_dates = []
    if not DateTimeUtils.is_trading_day(observed_date, holidays,
                                        special_dates):
        observed_date = DateTimeUtils.get_trading_day(observed_date, holidays,
                                                      special_dates, 1, -1)

    # 登陆
    logging.info('update all instrument vol surface to bct观察日为: %s' %
                 DateTimeUtils.date2str(observed_date))
    header = server_utils.login_terminal()

    # 从终端加载需要的标的物
    terminal_instrument_ids = [
        instrument['instrumentId']
        for instrument in server_utils.get_instrument_list(header)
    ]
    logging.info(
        '从终端加载到的标的物为:%s, 长度为: %d' %
        (','.join(terminal_instrument_ids), len(terminal_instrument_ids)))

    # 获取数据库中标的物
    vol_surface_list = VolSurfaceRepo.get_vol_surface_by_observed_date(
        db_session, observed_date)

    if not vol_surface_list:
        logging.info('observed_date为: %s没有可以导入到终端的vol surface' % observed_date)

    # 将instruments去重
    unique_vol_surface_list = unique_instruments(vol_surface_list)
    logging.info('在trading_date为: %s时,vol surface 表获取到的标的数量为: %d' %
                 (observed_date, len(unique_vol_surface_list)))

    # 写入vol surface 到 bct
    failed_instrument_ids = []
    # hacky here, 由于bct接收的tenor是自然日,需要将vol surface中工作日转为自然日
    for index, unique_vol_surface in enumerate(unique_vol_surface_list):
        # try:
        instrument_id = unique_vol_surface.instrumentId
        a = unique_vol_surface.modelInfo
        model_info = unique_vol_surface.modelInfo
        if model_info is None:
            continue
        # 获取到当前的vol surface的实时行情spot价格
        market_data = get_real_time_market_data_by_instrument_id(instrument_id)
        if market_data is not None and market_data.get(
                'lastPrice') is not None:
            now_price = market_data.get('lastPrice')
        else:
            logging.error('标的物%s当前行情为空' % instrument_id)
            continue
        if unique_vol_surface.instrumentId not in terminal_instrument_ids:
            logging.info('当前标的: %s的vol surface不在终端需要的列表里' %
                         unique_vol_surface.instrumentId)
            continue

        logging.info('当前准备写入到bct的标的为: %s, 进度为: %d of %d' %
                     (unique_vol_surface.instrumentId, index + 1,
                      len(unique_vol_surface_list)))

        result = update_one_instrument_to_terminal(unique_vol_surface, header,
                                                   now_price, observed_date)
        if not result:
            failed_instrument_ids.append(instrument_id)
        time.sleep(0.3)
    # except Exception as e:
    #     logging.error('更新标的物%s波动率曲面失败, 异常:%s' % (instrument_id, str(e)))
    logging.error(
        '处理失败的标的物为:%d %s' %
        (len(failed_instrument_ids), ','.join(failed_instrument_ids)))
    db_session.close()