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Macrocosmos 31

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
stake: float
emission: float
trust: float
validator_trust: float
dividends: float
incentive: float
ranks: float
total_stake: float
consensus: float
validator_permit: bool
last_update: int64
block: int64
netuid: int64
uid: int64
hotkey: string
coldkey: string
ip: string
timestamp: timestamp[ns]
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2412
to
{'mean_forward_time': Value(dtype='float64', id=None), 'task_distribution': Value(dtype='float64', id=None), 'mean_query_length': Value(dtype='float64', id=None), 'mean_reference_tokens_per_second': Value(dtype='float64', id=None), 'mean_query_tokens_per_second': Value(dtype='float64', id=None), 'unique_challenges': Value(dtype='float64', id=None), 'mean_reward': Value(dtype='float64', id=None), 'zero_rewards': Value(dtype='float64', id=None), 'status_codes': Value(dtype='float64', id=None), 'completion_tokens_per_second': Value(dtype='float64', id=None), '__index_level_0__': Value(dtype='string', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 437, in query
                  pa_table = pa.concat_tables(
                File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              mean_forward_time: double
              task_distribution: double
              mean_query_length: double
              mean_reference_tokens_per_second: double
              mean_query_tokens_per_second: double
              unique_challenges: double
              mean_reward: double
              zero_rewards: double
              status_codes: double
              completion_tokens_per_second: double
              __index_level_0__: string
              vs
              __index_level_0__: int64
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 105, in get_rows_content
                  pa_table = rows_index.query(offset=0, length=rows_max_number)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 586, in query
                  return self.parquet_index.query(offset=offset, length=length)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 444, in query
                  raise SchemaMismatchError("Parquet files have different schema.", err)
              libcommon.parquet_utils.SchemaMismatchError: ('Parquet files have different schema.', ArrowInvalid('Schema at index 1 was different: \nmean_forward_time: double\ntask_distribution: double\nmean_query_length: double\nmean_reference_tokens_per_second: double\nmean_query_tokens_per_second: double\nunique_challenges: double\nmean_reward: double\nzero_rewards: double\nstatus_codes: double\ncompletion_tokens_per_second: double\n__index_level_0__: string\nvs\n__index_level_0__: int64'))
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 119, in compute_first_rows_from_parquet_response
                  return create_first_rows_response(
                File "/src/libs/libcommon/src/libcommon/viewer_utils/rows.py", line 135, in create_first_rows_response
                  rows_content = get_rows_content(rows_max_number)
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 114, in get_rows_content
                  raise SplitParquetSchemaMismatchError(
              libcommon.exceptions.SplitParquetSchemaMismatchError: Split parquet files being processed have different schemas. Ensure all files have identical column names.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 183, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 73, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              stake: float
              emission: float
              trust: float
              validator_trust: float
              dividends: float
              incentive: float
              ranks: float
              total_stake: float
              consensus: float
              validator_permit: bool
              last_update: int64
              block: int64
              netuid: int64
              uid: int64
              hotkey: string
              coldkey: string
              ip: string
              timestamp: timestamp[ns]
              __index_level_0__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2412
              to
              {'mean_forward_time': Value(dtype='float64', id=None), 'task_distribution': Value(dtype='float64', id=None), 'mean_query_length': Value(dtype='float64', id=None), 'mean_reference_tokens_per_second': Value(dtype='float64', id=None), 'mean_query_tokens_per_second': Value(dtype='float64', id=None), 'unique_challenges': Value(dtype='float64', id=None), 'mean_reward': Value(dtype='float64', id=None), 'zero_rewards': Value(dtype='float64', id=None), 'status_codes': Value(dtype='float64', id=None), 'completion_tokens_per_second': Value(dtype='float64', id=None), '__index_level_0__': Value(dtype='string', id=None)}
              because column names don't match