2019-10-14 08:10:04,189 INFO [START] Execution Private Area Update
2019-10-14 08:10:04,192 INFO Update All Clients
2019-10-14 08:10:04,192 INFO Updating all clients Private Area
2019-10-14 08:10:04,192 INFO Start generating proxied return indexes
Return Changed: 2019-10-11 00:00:00 on 13848 with 0.01
Return Changed: 2019-10-11 00:00:00 on 13851 with 0.00
Return Changed: 2019-10-11 00:00:00 on 15442 with -0.00
Return Changed: 2019-10-11 00:00:00 on 22563 with 0.00
Return Changed: 2019-10-11 00:00:00 on 28335 with 0.00
Return Changed: 2019-10-11 00:00:00 on 29961 with 0.00
Return Changed: 2019-10-11 00:00:00 on 32718 with 0.00
Return Changed: 2019-10-11 00:00:00 on 33964 with 0.01
Return Changed: 2019-10-11 00:00:00 on 100832 with -0.00
Return Changed: 2019-10-11 00:00:00 on 117874 with 0.01
Return Changed: 2019-10-11 00:00:00 on 121843 with 0.01
2019-10-14 08:12:07,051 INFO End generating proxied return indexes
2019-10-14 08:12:07,052 INFO Start Calc Top Down Returns
2019-10-14 08:12:07,052 INFO Updating DB for Top Down Returns
/opt/anaconda3/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)
/euclidea/maruska/ImportData/centralized_data_for_tasks.py:903: Warning: 19096,202050,191876,202022 have no data! the processes ahead could have unexpected results
  Warning)
/euclidea/maruska/ImportData/centralized_data_for_tasks.py:1191: FutureWarning:
Passing list-likes to .loc or [] with any missing label will raise
KeyError in the future, you can use .reindex() as an alternative.

See the documentation here:
https://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate-loc-reindex-listlike
  available_changes = pd.Series(conversion_dct).loc[assets_and_dates_to_replace.loc[:, 'instrument_id'].values].dropna().index
Start Loading Data ...
Traceback (most recent call last):
  File "ExecutionFiles/execution_private_area_update.py", line 26, in <module>
    threading_processes=6
  File "/euclidea/maruska/AreaPrivata/private_area_main.py", line 129, in update_all_clients_private_area
    which_clients, end_date='today', horizons=['YTD', '3M', '1y', 'inception'], plot=False, to_sql=True)
  File "/euclidea/maruska/Risk/additional_client_utilities.py", line 980, in compute_returns_for_private_area
    data_cls = ImportTWMWData(clients)
  File "/euclidea/maruska/Risk/additional_client_utilities.py", line 642, in __init__
    compute_client_model_stuff(self.time_series_wealth_by_client.columns.values.tolist())
  File "/euclidea/maruska/Risk/additional_client_utilities.py", line 458, in compute_client_model_stuff
    matching_model_portfolios = compute_matching_model_portfolio(df_5_no_pers, model_portfolio_time_series)
  File "/euclidea/maruska/Risk/additional_client_utilities.py", line 385, in compute_matching_model_portfolio
    rebalancing_on_morning=True)
  File "/euclidea/maruska/Portfolios/portfolio_report/main.py", line 179, in preemptive_portfolio_computation_2
    'ret_value': pd.concat(all_rets_by_ptf_all, sort=False),
  File "/opt/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 225, in concat
    copy=copy, sort=sort)
  File "/opt/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/concat.py", line 259, in __init__
    raise ValueError('No objects to concatenate')
ValueError: No objects to concatenate