Datasets:

---

Know0ne

/

omnyx-inventory-feed

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source: string
updated: timestamp[s]
low: bool
count: int64
out: int64
total_tracked: int64
top: string
items: list<item: struct<code: string, product: string, spec: string, status: string>>
  child 0, item: struct<code: string, product: string, spec: string, status: string>
      child 0, code: string
      child 1, product: string
      child 2, spec: string
      child 3, status: string
all_qualified: list<item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: in (... 113 chars omitted)
  child 0, item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: int64, notion (... 101 chars omitted)
      child 0, symbol: string
      child 1, side: string
      child 2, entry: double
      child 3, stop: double
      child 4, target: double
      child 5, qty: int64
      child 6, notional: int64
      child 7, rr: double
      child 8, rsi: double
      child 9, atr: double
      child 10, ret63: double
      child 11, rs_vs_spy: double
      child 12, rationale: string
bear_gate: string
scanned: int64
generated: timestamp[s]
proposals: list<item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: in (... 113 chars omitted)
  child 0, item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: int64, notion (... 101 chars omitted)
      child 0, symbol: string
      child 1, side: string
      child 2, entry: double
      child 3, stop: double
      child 4, target: double
      child 5, qty: int64
      child 6, notional: int64
      child 7, rr: double
      child 8, rsi: double
      child 9, atr: double
      child 10, ret63: double
      child 11, rs_vs_spy: double
      child 12, rationale: string
skipped: int64
rules: string
screened: list<item: struct<sym: string, px: double, rsi: double, over_sma50: bool, sma20_gt_50: bool, stage2: (... 24 chars omitted)
  child 0, item: struct<sym: string, px: double, rsi: double, over_sma50: bool, sma20_gt_50: bool, stage2: bool, qual (... 12 chars omitted)
      child 0, sym: string
      child 1, px: double
      child 2, rsi: double
      child 3, over_sma50: bool
      child 4, sma20_gt_50: bool
      child 5, stage2: bool
      child 6, qualified: bool
universe: string
vetoed: list<item: null>
  child 0, item: null
asof: timestamp[s]
market: string
bear_reason: string
to
{'source': Value('string'), 'rules': Value('string'), 'asof': Value('timestamp[s]'), 'generated': Value('timestamp[s]'), 'market': Value('string'), 'universe': Value('string'), 'scanned': Value('int64'), 'skipped': Value('int64'), 'bear_gate': Value('string'), 'bear_reason': Value('string'), 'count': Value('int64'), 'proposals': List({'symbol': Value('string'), 'side': Value('string'), 'entry': Value('float64'), 'stop': Value('float64'), 'target': Value('float64'), 'qty': Value('int64'), 'notional': Value('int64'), 'rr': Value('float64'), 'rsi': Value('float64'), 'atr': Value('float64'), 'ret63': Value('float64'), 'rs_vs_spy': Value('float64'), 'rationale': Value('string')}), 'all_qualified': List({'symbol': Value('string'), 'side': Value('string'), 'entry': Value('float64'), 'stop': Value('float64'), 'target': Value('float64'), 'qty': Value('int64'), 'notional': Value('int64'), 'rr': Value('float64'), 'rsi': Value('float64'), 'atr': Value('float64'), 'ret63': Value('float64'), 'rs_vs_spy': Value('float64'), 'rationale': Value('string')}), 'vetoed': List(Value('null')), 'screened': List({'sym': Value('string'), 'px': Value('float64'), 'rsi': Value('float64'), 'over_sma50': Value('bool'), 'sma20_gt_50': Value('bool'), 'stage2': Value('bool'), 'qualified': Value('bool')})}
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
              source: string
              updated: timestamp[s]
              low: bool
              count: int64
              out: int64
              total_tracked: int64
              top: string
              items: list<item: struct<code: string, product: string, spec: string, status: string>>
                child 0, item: struct<code: string, product: string, spec: string, status: string>
                    child 0, code: string
                    child 1, product: string
                    child 2, spec: string
                    child 3, status: string
              all_qualified: list<item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: in (... 113 chars omitted)
                child 0, item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: int64, notion (... 101 chars omitted)
                    child 0, symbol: string
                    child 1, side: string
                    child 2, entry: double
                    child 3, stop: double
                    child 4, target: double
                    child 5, qty: int64
                    child 6, notional: int64
                    child 7, rr: double
                    child 8, rsi: double
                    child 9, atr: double
                    child 10, ret63: double
                    child 11, rs_vs_spy: double
                    child 12, rationale: string
              bear_gate: string
              scanned: int64
              generated: timestamp[s]
              proposals: list<item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: in (... 113 chars omitted)
                child 0, item: struct<symbol: string, side: string, entry: double, stop: double, target: double, qty: int64, notion (... 101 chars omitted)
                    child 0, symbol: string
                    child 1, side: string
                    child 2, entry: double
                    child 3, stop: double
                    child 4, target: double
                    child 5, qty: int64
                    child 6, notional: int64
                    child 7, rr: double
                    child 8, rsi: double
                    child 9, atr: double
                    child 10, ret63: double
                    child 11, rs_vs_spy: double
                    child 12, rationale: string
              skipped: int64
              rules: string
              screened: list<item: struct<sym: string, px: double, rsi: double, over_sma50: bool, sma20_gt_50: bool, stage2: (... 24 chars omitted)
                child 0, item: struct<sym: string, px: double, rsi: double, over_sma50: bool, sma20_gt_50: bool, stage2: bool, qual (... 12 chars omitted)
                    child 0, sym: string
                    child 1, px: double
                    child 2, rsi: double
                    child 3, over_sma50: bool
                    child 4, sma20_gt_50: bool
                    child 5, stage2: bool
                    child 6, qualified: bool
              universe: string
              vetoed: list<item: null>
                child 0, item: null
              asof: timestamp[s]
              market: string
              bear_reason: string
              to
              {'source': Value('string'), 'rules': Value('string'), 'asof': Value('timestamp[s]'), 'generated': Value('timestamp[s]'), 'market': Value('string'), 'universe': Value('string'), 'scanned': Value('int64'), 'skipped': Value('int64'), 'bear_gate': Value('string'), 'bear_reason': Value('string'), 'count': Value('int64'), 'proposals': List({'symbol': Value('string'), 'side': Value('string'), 'entry': Value('float64'), 'stop': Value('float64'), 'target': Value('float64'), 'qty': Value('int64'), 'notional': Value('int64'), 'rr': Value('float64'), 'rsi': Value('float64'), 'atr': Value('float64'), 'ret63': Value('float64'), 'rs_vs_spy': Value('float64'), 'rationale': Value('string')}), 'all_qualified': List({'symbol': Value('string'), 'side': Value('string'), 'entry': Value('float64'), 'stop': Value('float64'), 'target': Value('float64'), 'qty': Value('int64'), 'notional': Value('int64'), 'rr': Value('float64'), 'rsi': Value('float64'), 'atr': Value('float64'), 'ret63': Value('float64'), 'rs_vs_spy': Value('float64'), 'rationale': Value('string')}), 'vetoed': List(Value('null')), 'screened': List({'sym': Value('string'), 'px': Value('float64'), 'rsi': Value('float64'), 'over_sma50': Value('bool'), 'sma20_gt_50': Value('bool'), 'stage2': Value('bool'), 'qualified': Value('bool')})}
              because column names don't match