Traceback (most recent call last):
File "/usr/src/app/chaos_genius/core/anomaly/controller.py", line 552, in _run_anomaly_for_series
  ) = self._detect_anomaly(
File "/usr/src/app/chaos_genius/core/anomaly/controller.py", line 222, in _detect_anomaly
  return ProcessAnomalyDetection(
File "/usr/src/app/chaos_genius/core/anomaly/processor.py", line 90, in predict
  anomaly_df = self._predict(model)
File "/usr/src/app/chaos_genius/core/anomaly/processor.py", line 143, in _predict
  prediction = model.predict(
File "/usr/src/app/chaos_genius/core/anomaly/models/standard_deviation_model.py", line 76, in predict
  df_anomaly = self._detect_anomalies(df)
File "/usr/src/app/chaos_genius/core/anomaly/models/standard_deviation_model.py", line 82, in _detect_anomalies
  forecasted = forecast[["ds", "yhat", "yhat_lower", "yhat_upper", "y"]].copy()
File "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py", line 3511, in __getitem__
  indexer = self.columns._get_indexer_strict(key, "columns")[1]
File "/usr/local/lib/python3.8/dist-packages/pandas/core/indexes/base.py", line 5796, in _get_indexer_strict
  self._raise_if_missing(keyarr, indexer, axis_name)
File "/usr/local/lib/python3.8/dist-packages/pandas/core/indexes/base.py", line 5859, in _raise_if_missing
  raise KeyError(f"{not_found} not in index")
KeyError: "['ds'] not in index"

{'active': True,
'aggregation': 'sum',
'anomaly_frequency': None,
'anomaly_params': {'anomaly_period': 30,
                  'frequency': 'D',
                  'model_name': 'StandardDeviationModel',
                  'sensitivity': 'high'},
'count_column': None,
'created_at': datetime.datetime(2023, 2, 13, 0, 30, 59, 947482),
'data_source': 2,
'datetime_column': 'datetime_col',
'dimensions': ['Country', 'DayOfWeek'],
'id': 1,
'is_certified': False,
'is_static': False,
'kpi_query': 'select \n'
            '  "Country",\n'
            '  "DayOfWeek",\n'
            '  "ItemTotalPrice",\n'
            '  CAST(date AS TIMESTAMP) as datetime_col,\n'
            '  CAST("CustomerID" AS text) as "CustomerID_string"\n'
            'from ecom_retail_data',
'kpi_type': 'query',
'metric': 'ItemTotalPrice',
'name': 'Average order value',
'run_anomaly': True,
'scheduler_params': {'anomaly_status': 'failed',
                    'last_scheduled_time_anomaly': '2023-02-13T00:42:30.560471',
                    'last_scheduled_time_rca': '2023-02-13T00:35:26.898343',
                    'rca_status': 'completed',
                    'rca_time': '11:00:00',
                    'scheduler_frequency': 'D',
                    'time': '11:00:00'},
'schema_name': '',
'static_params': None,
'table_name': '',
'timezone_aware': False}

{'active': True,
'connection_status': 'connected',
'connection_type': 'Postgres',
'created_at': datetime.datetime(2023, 2, 13, 0, 25, 44, 624992),
'database_timezone': 'UTC',
'id': 2,
'is_third_party': False,
'last_sync': datetime.datetime(2023, 2, 13, 0, 26, 6, 706465),
'name': 'chaosgenius-public',
'sync_status': 'Completed'}