"""One-off CLI: backfill N days of synthetic usage data immediately, so the
dashboard/plan comparison can be demoed without waiting for the scheduler to
accumulate real-time polls. Always uses the mock client, regardless of
USE_MOCK_ISOLARCLOUD, since this is for local demoing/testing only.

Usage: python scripts/seed_sample_data.py --days 365
"""

from __future__ import annotations

import argparse
from datetime import datetime, timedelta, timezone

from app.db.repositories import upsert_interval_readings
from app.db.session import get_session, init_db
from app.isolarcloud.mock_client import MockISolarCloudClient


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--days", type=int, default=365)
    args = parser.parse_args()

    init_db()
    client = MockISolarCloudClient()
    until = datetime.now(timezone.utc)
    since = until - timedelta(days=args.days)
    points = client.fetch_interval_data(since, until)
    rows = [p.as_row("mock") for p in points]

    with get_session() as session:
        inserted = upsert_interval_readings(session, rows)

    print(f"Generated {len(points)} points, inserted {inserted} new rows.")


if __name__ == "__main__":
    main()