Datasets:

---

kooana

/

fyers_symbol_master

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
NIFTY Monthly Expiry: list<item: string>
  child 0, item: string
SENSEX Monthly Expiry: list<item: string>
  child 0, item: string
MCX Monthly Expiry: list<item: string>
  child 0, item: string
last_fetch_date_utc: timestamp[s]
last_attempt_utc: string
sources: struct<NSE_CD: struct<ok: bool, count: int64>, BSE_FO: struct<ok: bool, count: int64>, BSE_CM: struc (... 188 chars omitted)
  child 0, NSE_CD: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 1, BSE_FO: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 2, BSE_CM: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 3, MCX_COM: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 4, NSE_COM: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 5, NSE_CM: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
  child 6, NSE_FO: struct<ok: bool, count: int64>
      child 0, ok: bool
      child 1, count: int64
to
{'last_fetch_date_utc': Value('timestamp[s]'), 'last_attempt_utc': Value('string'), 'sources': {'NSE_CD': {'ok': Value('bool'), 'count': Value('int64')}, 'BSE_FO': {'ok': Value('bool'), 'count': Value('int64')}, 'BSE_CM': {'ok': Value('bool'), 'count': Value('int64')}, 'MCX_COM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_COM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_CM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_FO': {'ok': Value('bool'), 'count': Value('int64')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              NIFTY Monthly Expiry: list<item: string>
                child 0, item: string
              SENSEX Monthly Expiry: list<item: string>
                child 0, item: string
              MCX Monthly Expiry: list<item: string>
                child 0, item: string
              last_fetch_date_utc: timestamp[s]
              last_attempt_utc: string
              sources: struct<NSE_CD: struct<ok: bool, count: int64>, BSE_FO: struct<ok: bool, count: int64>, BSE_CM: struc (... 188 chars omitted)
                child 0, NSE_CD: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 1, BSE_FO: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 2, BSE_CM: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 3, MCX_COM: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 4, NSE_COM: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 5, NSE_CM: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
                child 6, NSE_FO: struct<ok: bool, count: int64>
                    child 0, ok: bool
                    child 1, count: int64
              to
              {'last_fetch_date_utc': Value('timestamp[s]'), 'last_attempt_utc': Value('string'), 'sources': {'NSE_CD': {'ok': Value('bool'), 'count': Value('int64')}, 'BSE_FO': {'ok': Value('bool'), 'count': Value('int64')}, 'BSE_CM': {'ok': Value('bool'), 'count': Value('int64')}, 'MCX_COM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_COM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_CM': {'ok': Value('bool'), 'count': Value('int64')}, 'NSE_FO': {'ok': Value('bool'), 'count': Value('int64')}}}
              because column names don't match