#!/usr/bin/env python3
"""refresh_data.py
-----------------
Download one or more FRED series into ``data/fred.db``.

Run this script on a machine with internet access and commit the updated
database afterwards.

Example:
    python scripts/refresh_data.py --series UNRATE CPIAUCSL --start 1960-01-01
"""

from __future__ import annotations

from datetime import date
import argparse
import pathlib
import sqlite3
import logging

logger = logging.getLogger(__name__)

from pandas_datareader.data import DataReader
import pandas as pd

from scripts.constants import DB_PATH_DEFAULT, UNRATE, DCOILWTICO

HERE = pathlib.Path(__file__).resolve().parent
DATA_PATH = DB_PATH_DEFAULT.parent
DB_FILE = DB_PATH_DEFAULT

DEFAULT_START = "1948-01-01"  # earliest UNRATE observation
DEFAULT_END = date.today().isoformat()
DEFAULT_SERIES = (UNRATE, DCOILWTICO)


def main(argv: list[str] | None = None) -> None:
    p = argparse.ArgumentParser(description="Download FRED series to SQLite")
    p.add_argument(
        "--series",
        nargs="+",
        default=list(DEFAULT_SERIES),
        help="FRED series names",
    )
    p.add_argument("--start", type=str, default=DEFAULT_START, help="start date")
    p.add_argument("--end", type=str, default=DEFAULT_END, help="end date")
    args = p.parse_args(argv)

    DATA_PATH.mkdir(exist_ok=True)
    with sqlite3.connect(DB_FILE) as conn:
        for s in args.series:
            logger.info("\u21af downloading %s …", s)
            df = DataReader(s, "fred", args.start, args.end)
            df.to_sql(s, conn, if_exists="replace", index_label="date")
            logger.info("\u2713 wrote %s: %s rows", s, len(df))
    logger.info(
        "\nDone.  SQLite DB at %s (%s KB)",
        DB_FILE,
        DB_FILE.stat().st_size / 1024,
    )


if __name__ == "__main__":
    main()