def save_daily_df(self, base_dir='data'):
     logging.info('upload_daily_df')
     self.daily_trade_started = False
     t_1 = datetime.datetime.utcnow()
     df_daily = self.aggregations.get_daily_df()
     t_2 = datetime.datetime.utcnow()
     dt_21 = t_2 - t_1
     logging.info('[save_daily_df] {s} seconds took to get daily_df'.format(
         s=dt_21.seconds))
     if not os.path.exists(base_dir):
         os.mkdir(base_dir)
     df_daily.to_csv('{base_dir}/daily.csv'.format(base_dir=base_dir))
     return df_daily
 def on_daily_trade_end(self, base_dir='data'):
     logging.info('on_daily_trade_end')
     self.daily_trade_started = False
     t_1 = datetime.datetime.utcnow()
     df_minute = self.aggregations.get_minute_df()
     t_2 = datetime.datetime.utcnow()
     dt_21 = t_2 - t_1
     logging.info(
         '{s} seconds took to get minute_df'.format(s=dt_21.seconds))
     df_daily = self.aggregations.get_daily_df()
     t_3 = datetime.datetime.utcnow()
     dt_32 = t_3 - t_2
     logging.info(
         '{s} seconds took to get daily_df'.format(s=dt_32.seconds))
     if not os.path.exists(base_dir):
         os.mkdir(base_dir)
     df_minute.to_csv('{base_dir}/minute.csv'.format(base_dir=base_dir))
     df_daily.to_csv('{base_dir}/daily.csv'.format(base_dir=base_dir))
     self.aggregations.clean()
 def get_minute_df(self, print_log=True):
     if print_log:
         logging.info('Aggregations.get_minute_df for {l_s} symbols'.format(
             l_s=len(self.aggregation_per_symbol)))
     df = pd.DataFrame(columns=BarWithTime.get_minute_tuple_names())
     for symbol, aggregation in self.aggregation_per_symbol.items():
         t_1 = datetime.datetime.utcnow()
         df_ = aggregation.get_minute_df()
         t_2 = datetime.datetime.utcnow()
         dt_21 = t_2 - t_1
         logging.info(
             '{s} seconds {ms} microseconds took to get minute_df for symbol {symbol}'
             .format(s=dt_21.seconds, ms=dt_21.microseconds, symbol=symbol))
         df = df.append(df_)
         t_3 = datetime.datetime.utcnow()
         dt_32 = t_3 - t_2
         logging.info(
             '{s} seconds {ms} microseconds took to append for symbol {symbol}'
             .format(s=dt_32.seconds, ms=dt_32.microseconds, symbol=symbol))
     return df.set_index('datetime')
 def on_daily_trade_end(self, base_dir='data'):
     logging.info('on_daily_trade_end')
     self.daily_trade_started = False
     self.aggregations.clean()
 def on_daily_trade_start(self):
     logging.info('on_daily_trade_start')
     self.daily_trade_started = True
Exemplo n.º 6
0
def log_heartbeat():
    while True:
        logging.info("us_finance_streaming_data_miner: heartbeat message.")
        time.sleep(30 * 60)
Exemplo n.º 7
0
def run(forcerun):
    cfg = config.load('config.us.yaml')
    tz = config.get_tz(cfg)
    polygon_run = PolygonAggregationsRun(subscription_id=os.getenv(
        'FINANCE_STREAM_INTRADAY_PUBSUB_SUBSCRIPTION_ID'))

    while True:
        dt = us_finance_streaming_data_miner.util.time.get_utcnow().astimezone(
            tz)
        dt_str = str(dt.date())

        if dt.weekday() >= 5:
            logging.info(
                'skipping the routing during weekend, weekday: {weekday} for {dt_str}'
                .format(weekday=dt.weekday(), dt_str=dt_str))
            time.sleep(60 * 60)
            continue

        logging.info('checking if run for {date_str} should be done'.format(
            date_str=dt_str))
        if not forcerun and us_finance_streaming_data_miner.history.history.did_run_today(
                cfg):
            logging.info(
                'run for {date_str} is already done'.format(date_str=dt_str))
            time.sleep(10 * 60)
            continue

        t_market_open = config.get_market_open(cfg)
        while True:
            t_cur = us_finance_streaming_data_miner.util.time.get_utcnow(
            ).astimezone(tz).time()
            logging.info(
                cfg, 'checking if the schedule time for {dt_str} has reached'.
                format(dt_str=dt_str))
            if forcerun or t_cur > t_market_open:
                polygon_run.on_daily_trade_start()
                break

            logging.info(
                cfg, 'schedule time {t_run_after} not yet reached at {t_cur}'.
                format(t_run_after=t_market_open, t_cur=t_cur))
            time.sleep(10 * 60)

        if forcerun:
            time.sleep(70)

        t_ingest_end = config.get_market_ingest_end(cfg)
        while True:
            t_cur = us_finance_streaming_data_miner.util.time.get_utcnow(
            ).astimezone(tz).time()
            logging.info(
                cfg, 'checking if the schedule time for {dt_str} has reached'.
                format(dt_str=dt_str))
            logging.info(polygon_run.get_status_string())
            if forcerun or t_cur > t_ingest_end:
                polygon_run.save_daily_df()
                daily_upload.upload()

                polygon_run.on_daily_trade_end()
                us_finance_streaming_data_miner.history.history.on_run(cfg)
                break

            logging.info(
                cfg, 'schedule time {t_run_after} not yet reached at {t_cur}'.
                format(t_run_after=t_ingest_end, t_cur=t_cur))
            time.sleep(10 * 60)

        if forcerun:
            # forcerun runs only once
            break
def run(subscription_id, shard_id, shard_size):
    logging.info('starting the job: {dt_str}'.format(dt_str=datetime.datetime.now()))
    _ = BinanceAggregationsRun(shard_id = shard_id, shard_size = shard_size, subscription_id = subscription_id)