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ml-mini-project

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energy-stocks-v2-macro

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Algo_trading_ML 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Date: timestamp[us]
Close: double
High: double
Low: double
Open: double
Volume: double
Rsi: double
Macd: double
Atr: double
Target_Nextclose: double
Crude_Oil: double
Natural_Gas: double
VIX_Index: double
Ticker: large_string
-- schema metadata --
huggingface: '{"info": {"features": {"Date": {"dtype": "timestamp[us]", "' + 679
to
{'Date': Value('timestamp[ns]'), 'Close': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Open': Value('float64'), 'Volume': Value('float64'), 'Rsi': Value('float64'), 'Macd': Value('float64'), 'Target_Nextclose': Value('float64'), 'Crude_Oil': Value('float64'), 'Natural_Gas': Value('float64'), 'VIX_Index': Value('float64'), 'Ticker': Value('large_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/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Date: timestamp[us]
              Close: double
              High: double
              Low: double
              Open: double
              Volume: double
              Rsi: double
              Macd: double
              Atr: double
              Target_Nextclose: double
              Crude_Oil: double
              Natural_Gas: double
              VIX_Index: double
              Ticker: large_string
              -- schema metadata --
              huggingface: '{"info": {"features": {"Date": {"dtype": "timestamp[us]", "' + 679
              to
              {'Date': Value('timestamp[ns]'), 'Close': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Open': Value('float64'), 'Volume': Value('float64'), 'Rsi': Value('float64'), 'Macd': Value('float64'), 'Target_Nextclose': Value('float64'), 'Crude_Oil': Value('float64'), 'Natural_Gas': Value('float64'), 'VIX_Index': Value('float64'), 'Ticker': Value('large_string')}
              because column names don't match