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| from __future__ import annotations | |
| from pathlib import Path | |
| from typing import Tuple | |
| import pandas as pd | |
| def _parse_ts(df: pd.DataFrame) -> pd.DataFrame: | |
| # Google Forms export uses this column name | |
| if "Informazioni cronologiche" in df.columns: | |
| df = df.copy() | |
| df["_ts"] = pd.to_datetime(df["Informazioni cronologiche"], errors="coerce") | |
| df = df.sort_values("_ts") | |
| else: | |
| df = df.copy() | |
| df["_ts"] = pd.NaT | |
| return df | |
| def load_and_dedup(excel_path: Path) -> pd.DataFrame: | |
| df = pd.read_excel(excel_path, sheet_name=0) | |
| df = _parse_ts(df) | |
| if "Nome e cognome" in df.columns: | |
| df = df.drop_duplicates(subset=["Nome e cognome"], keep="last") | |
| return df.reset_index(drop=True) | |
| def load_pair(auto_path: Path, valut_path: Path) -> Tuple[pd.DataFrame, pd.DataFrame]: | |
| auto_df = load_and_dedup(auto_path) | |
| valut_df = load_and_dedup(valut_path) | |
| return auto_df, valut_df | |