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TESTING_queud_accounts
No usage data to process or not a real-time run.
 queued_accounts Length 1
testing
Calibration starts for 1 queued accounts
daily  50  batch retrieval =  9.78884674699998
Daily account (1799078, 45223): index -1 is out of bounds for axis 0 with size 0
Traceback (most recent call last):
  File "/tmp/ipykernel_4621/4220528967.py", line 155, in calibrate
    y = DailyReadRegression._check_data_quality(y)
  File "/tmp/ipykernel_4621/2627236383.py", line 304, in _check_data_quality
    data_copy = DailyReadRegression._last_streak_position(data, params)
  File "/tmp/ipykernel_4621/2627236383.py", line 175, in _last_streak_position
    dates_streaks = [positions(x) for x in bads_streaks_positions]
  File "/tmp/ipykernel_4621/2627236383.py", line 175, in <listcomp>
    dates_streaks = [positions(x) for x in bads_streaks_positions]
  File "/tmp/ipykernel_4621/2627236383.py", line 170, in positions
    start = np.cumsum(list(map(len, bads_split[:i])))[-1]
IndexError: index -1 is out of bounds for axis 0 with size 0
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
Cell In[745], line 155, in calibrate(end_date, start_date, final_date, base_thresh, test_percent, b_size, accountids, acct_number_list, calibrate_all, forecast_and_write, do_monthly, do_hu_sales, push_back_start_for_monthly, prefer_daily, cross_validation, bias_correction, bias_threshold, trend, file_name_for_ids_save, refresh_weather, purge_models_metrics_db, weather_refresh_period, keep_historical, erase_weather_norm, erase_short_term, erase_backcast, erase_daily, id_station_mapping, short_term_flag)
    153 # Quality check, needs to be modified to allow less then years of data.
    154 # In general these function needs to be reviewed.
--> 155 y = DailyReadRegression._check_data_quality(y)
    156 directive = y[0]

Cell In[725], line 304, in DailyReadRegression._check_data_quality(data)
    303 try_monthly = try_monthly | (len(gaps_last_year) > params.max_day_gaps_per_year)
--> 304 data_copy = DailyReadRegression._last_streak_position(data, params)
    306 if data_copy.empty:

Cell In[725], line 175, in DailyReadRegression._last_streak_position(data, params, streak_check)
    174 # slicing the dates where the bads streaks sit
--> 175 dates_streaks = [positions(x) for x in bads_streaks_positions]
    176 dates = data.index

Cell In[725], line 175, in <listcomp>(.0)
    174 # slicing the dates where the bads streaks sit
--> 175 dates_streaks = [positions(x) for x in bads_streaks_positions]
    176 dates = data.index

Cell In[725], line 170, in DailyReadRegression._last_streak_position.<locals>.positions(i)
    169 def positions(i):
--> 170     start = np.cumsum(list(map(len, bads_split[:i])))[-1]
    171     end = start + len(bads_split[i]) - 1

IndexError: index -1 is out of bounds for axis 0 with size 0

During handling of the above exception, another exception occurred:

UnboundLocalError                         Traceback (most recent call last)
Cell In[763], line 58
     55     telemetry_client.track_event("Calibration starts for " + str(len(queued_accounts_to_work)) + " queued accounts", {'Status': 'Success'})
     57     if len(queued_accounts_to_work) > 0: 
---> 58         calibrate(accountids=queued_accounts_to_work, start_date=start_date, \
     59                   end_date=end_date, final_date=end_date,
     60                   do_monthly=True, cross_validation=False,
     61                   forecast_and_write=True, base_thresh=1, trend=False, purge_models_metrics_db=True,
     62                   keep_historical=None, id_station_mapping=id_station_mapping)
     63 else:
     64     print("No accounts queued for Calibration")

Cell In[745], line 260, in calibrate(end_date, start_date, final_date, base_thresh, test_percent, b_size, accountids, acct_number_list, calibrate_all, forecast_and_write, do_monthly, do_hu_sales, push_back_start_for_monthly, prefer_daily, cross_validation, bias_correction, bias_threshold, trend, file_name_for_ids_save, refresh_weather, purge_models_metrics_db, weather_refresh_period, keep_historical, erase_weather_norm, erase_short_term, erase_backcast, erase_daily, id_station_mapping, short_term_flag)
    258         error_daily_dict = update_err_daily_dict(error_daily_dict, i, err_entry)
    259         telemetry_client.track_exception(*sys.exc_info())
--> 260         telemetry_client.track_event('DailyModelFailure', {'Status': 'Failure', 'Error': str(err)})
    261         m_list.append(i)
    263 # Doing monthly forecast if required

UnboundLocalError: local variable 'err' referenced before assignment