The generated first version code does not work when wrapped into run_workflow() function, although everything works in the previous codes. The error is as below. The only difference I found compared to previous code is just the image_basename=“drink_sales”. When I change this name to some others. The error has gone. However, the generated chart looks quite different with different names…
With image_basename=“drink_sales”, the generated code has one line for date formatting which seems causing the error.
df[‘date’] = pd.to_datetime(df[‘date’] + ’ ’ + df[‘year’].astype(str))
Although prompt change will definitely affect result, the resulting error sometimes seems unpredictable…
TypeError Traceback (most recent call last)
Cell In[14], line 8
5 image_basename="drink_sales"
7 # Run the complete agentic workflow
----> 8 _ = run_workflow(
9 dataset_path="coffee_sales.csv",
10 user_instructions=user_instructions,
11 generation_model=generation_model,
12 reflection_model=reflection_model,
13 image_basename=image_basename
14 )
Cell In[9], line 41, in run_workflow(dataset_path, user_instructions, generation_model, reflection_model, image_basename)
39 initial_code = match.group(1).strip()
40 exec_globals = {"df": df}
---> 41 exec(initial_code, exec_globals)
42 utils.print_html(out_v1, is_image=True, title="Generated Chart (V1)")
44 # 3) Reflect on V1 (image + original code) to get feedback and refined code (V2)
File <string>:5
File /usr/local/lib/python3.11/site-packages/pandas/core/ops/common.py:76, in _unpack_zerodim_and_defer.<locals>.new_method(self, other)
72 return NotImplemented
74 other = item_from_zerodim(other)
---> 76 return method(self, other)
File /usr/local/lib/python3.11/site-packages/pandas/core/arraylike.py:186, in OpsMixin.__add__(self, other)
98 @unpack_zerodim_and_defer("__add__")
99 def __add__(self, other):
100 """
101 Get Addition of DataFrame and other, column-wise.
102
(...)
184 moose 3.0 NaN
185 """
--> 186 return self._arith_method(other, operator.add)
File /usr/local/lib/python3.11/site-packages/pandas/core/series.py:6154, in Series._arith_method(self, other, op)
6152 def _arith_method(self, other, op):
6153 self, other = self._align_for_op(other)
-> 6154 return base.IndexOpsMixin._arith_method(self, other, op)
File /usr/local/lib/python3.11/site-packages/pandas/core/base.py:1391, in IndexOpsMixin._arith_method(self, other, op)
1388 rvalues = np.arange(rvalues.start, rvalues.stop, rvalues.step)
1390 with np.errstate(all="ignore"):
-> 1391 result = ops.arithmetic_op(lvalues, rvalues, op)
1393 return self._construct_result(result, name=res_name)
File /usr/local/lib/python3.11/site-packages/pandas/core/ops/array_ops.py:273, in arithmetic_op(left, right, op)
260 # NB: We assume that extract_array and ensure_wrapped_if_datetimelike
261 # have already been called on `left` and `right`,
262 # and `maybe_prepare_scalar_for_op` has already been called on `right`
263 # We need to special-case datetime64/timedelta64 dtypes (e.g. because numpy
264 # casts integer dtypes to timedelta64 when operating with timedelta64 - GH#22390)
266 if (
267 should_extension_dispatch(left, right)
268 or isinstance(right, (Timedelta, BaseOffset, Timestamp))
(...)
271 # Timedelta/Timestamp and other custom scalars are included in the check
272 # because numexpr will fail on it, see GH#31457
--> 273 res_values = op(left, right)
274 else:
275 # TODO we should handle EAs consistently and move this check before the if/else
276 # (https://github.com/pandas-dev/pandas/issues/41165)
277 # error: Argument 2 to "_bool_arith_check" has incompatible type
278 # "Union[ExtensionArray, ndarray[Any, Any]]"; expected "ndarray[Any, Any]"
279 _bool_arith_check(op, left, right) # type: ignore[arg-type]
TypeError: unsupported operand type(s) for +: 'DatetimeArray' and 'str'
"