coding.fix_param_use

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,
)