import pandas as pd

pid = snakemake.params["pid"]
requested_features = snakemake.params["features"]
baseline_features = pd.DataFrame(columns=requested_features)

participant_info = pd.read_csv(snakemake.input[0], parse_dates=["date_of_birth"])
if not participant_info.empty:
    if "age" in requested_features:
        now = pd.Timestamp("now")
        baseline_features.loc[0, "age"] = (
            now - participant_info.loc[0, "date_of_birth"]
        ).days / 365.25245
    if "gender" in requested_features:
        baseline_features.loc[0, "gender"] = participant_info.loc[0, "gender"]
    if "startlanguage" in requested_features:
        baseline_features.loc[0, "startlanguage"] = participant_info.loc[
            0, "startlanguage"
        ]

baseline_features.to_csv(
    snakemake.output[0], index=False, encoding="utf-8",
)