codingfix-param-use

description: Fix function call sites to pass positional args by position and assign constants to intermediate variables model: haiku

• I will pass you a file

• In that file, make sure that:

  • Callers pass the parameters by position and pass the keywords arguments
  • Constant should be assigned to intermediate variable with the same name corresponding to the formal parameters

• For a function with the signature

  def apply_llm_prompt_to_df(
      prompt: str,
      df: pd.DataFrame,
      extractor: Callable[[Union[str, pd.Series]], str],
      target_col: str,
      batch_mode: str,
      *,
      model: str,
      batch_size: int = 50,
      dump_every_batch: str = "",
      tag: str = "Processing",
      testing_functor: Optional[Callable[[str], str]] = None,
      use_sys_stderr: bool = False,
  ) -> Tuple[pd.DataFrame, Dict[str, int]]:
  

• Bad

  df, stats = hllmcli.apply_llm_prompt_to_df(
      prompt=prompt,
      df=df,
      extractor=extract_person_industry_from_df,
      target_col="industry",
      batch_mode=batch_mode,
      batch_size=batch_size,
      model=model,
      tag=tag,
  )
  

• Good

  target_col = "industry"
  df, stats = hllmcli.apply_llm_prompt_to_df(
      prompt,
      df,
      extract_person_industry_from_df,
      target_col,
      batch_mode,
      batch_size=batch_size,
      model=model,
      tag=tag,
  )