Datasets:

---

P2SAMAPA

/

p2-etf-tft-outputs

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
next_signal: string
ann_return: double
sharpe: double
max_dd: double
lookback_days: int64
start_year: int64
sweep_date: string
etf_scores: struct<GLD_Ret: double, HYG_Ret: double, LQD_Ret: double, SLV_Ret: double, TLT_Ret: double, VCIT_Ret (... 26 chars omitted)
  child 0, GLD_Ret: double
  child 1, HYG_Ret: double
  child 2, LQD_Ret: double
  child 3, SLV_Ret: double
  child 4, TLT_Ret: double
  child 5, VCIT_Ret: double
  child 6, VNQ_Ret: double
model_type: string
option: string
target_etfs: list<item: string>
  child 0, item: string
train_date: string
lookback: int64
input_features: list<item: string>
  child 0, item: string
num_features: int64
to
{'lookback': Value('int64'), 'num_features': Value('int64'), 'target_etfs': List(Value('string')), 'input_features': List(Value('string')), 'option': Value('string'), 'train_date': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              next_signal: string
              ann_return: double
              sharpe: double
              max_dd: double
              lookback_days: int64
              start_year: int64
              sweep_date: string
              etf_scores: struct<GLD_Ret: double, HYG_Ret: double, LQD_Ret: double, SLV_Ret: double, TLT_Ret: double, VCIT_Ret (... 26 chars omitted)
                child 0, GLD_Ret: double
                child 1, HYG_Ret: double
                child 2, LQD_Ret: double
                child 3, SLV_Ret: double
                child 4, TLT_Ret: double
                child 5, VCIT_Ret: double
                child 6, VNQ_Ret: double
              model_type: string
              option: string
              target_etfs: list<item: string>
                child 0, item: string
              train_date: string
              lookback: int64
              input_features: list<item: string>
                child 0, item: string
              num_features: int64
              to
              {'lookback': Value('int64'), 'num_features': Value('int64'), 'target_etfs': List(Value('string')), 'input_features': List(Value('string')), 'option': Value('string'), 'train_date': Value('string')}
              because column names don't match