Datasets:

---

P2SAMAPA

/

p2-fep-agent-results

like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<full_ranking: list<item: struct<ticker: string, z_score: double, action: string, free_energy: double, surprise: double, epistemic: double, position: double, signal: double, window_signals: list<item: struct<window: int64, free_energy: double, surprise: double, epistemic: double, action: string>>>>>
to
{'top_buys': List({'ticker': Value('string'), 'z_score': Value('float64')}), 'top_sells': List({'ticker': Value('string'), 'z_score': Value('float64')}), 'full_scores': {'TLT': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'VCIT': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'LQD': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'HYG': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'VNQ': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'GLD': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'SLV': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}}}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<full_ranking: list<item: struct<ticker: string, z_score: double, action: string, free_energy: double, surprise: double, epistemic: double, position: double, signal: double, window_signals: list<item: struct<window: int64, free_energy: double, surprise: double, epistemic: double, action: string>>>>>
              to
              {'top_buys': List({'ticker': Value('string'), 'z_score': Value('float64')}), 'top_sells': List({'ticker': Value('string'), 'z_score': Value('float64')}), 'full_scores': {'TLT': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'VCIT': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'LQD': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'HYG': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'VNQ': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'GLD': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}, 'SLV': {'z_score': Value('float64'), 'action': Value('string'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'position': Value('float64'), 'signal': Value('float64'), 'window_signals': List({'window': Value('int64'), 'free_energy': Value('float64'), 'surprise': Value('float64'), 'epistemic': Value('float64'), 'action': Value('string')})}}}