import logging
import sys

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
)
logger = logging.getLogger(__name__)


def _run_signals(label: str = ""):
    from db.db import get_all_buys_for_reprocess
    from signals.filter_engine import process_filing

    filings = get_all_buys_for_reprocess()
    count = 0
    seen: set[tuple] = set()
    for filing in filings:
        as_of = (filing.get("transaction_date") or filing.get("filed_date") or "")[:10]
        key = (filing["ticker"], as_of)
        if key in seen:
            continue
        seen.add(key)
        if process_filing(filing, as_of_date=as_of) is not None:
            count += 1
    logger.info(f"Signal generation{' ' + label if label else ''}: {count} signals")
    return count


def _process_filing(filing: dict):
    from signals.filter_engine import process_filing
    from alerts.slack_alert import send_slack_alert
    import config

    signal = process_filing(filing)
    if signal is None:
        return

    logger.info(f"Signal: {signal['ticker']} score={signal['score']} cluster={signal['cluster_size']}")

    if config.SLACK_WEBHOOK_URL:
        send_slack_alert(signal)

    if config.ALPACA_KEY and config.ALPACA_SECRET:
        from broker.alpaca_client import execute_signal
        execute_signal(signal)


def _close_expired_positions():
    import config
    if config.ALPACA_KEY and config.ALPACA_SECRET:
        from broker.alpaca_client import close_expired_positions
        close_expired_positions()


def cmd_run():
    """Continuous live polling — polls EDGAR every 10 min, processes signals, executes trades."""
    from db.db import init_db
    from ingestion.edgar_poller import run_poller

    init_db()
    logger.info("Database initialized")

    def on_new_filing(filing: dict):
        _process_filing(filing)
        _close_expired_positions()

    run_poller(on_new_filing=on_new_filing)


def cmd_backfill():
    """Bulk-ingest historical Form 4 filings from SEC EDGAR quarterly archives.

    Usage:
      python main.py backfill --years 2023 2024        # full year range
      python main.py backfill --year 2024 --quarter 1  # single quarter
    """
    import argparse
    from db.db import init_db
    from ingestion.sec_bulk_ingest import ingest_years, ingest_quarter

    parser = argparse.ArgumentParser(prog="main.py backfill")
    group = parser.add_mutually_exclusive_group(required=True)
    group.add_argument("--years", nargs=2, type=int, metavar=("FROM", "TO"),
                       help="Inclusive year range, e.g. --years 2023 2024")
    group.add_argument("--year", type=int, help="Single year (use with --quarter)")
    parser.add_argument("--quarter", type=int, choices=[1, 2, 3, 4])
    parser.add_argument("--no-signals", action="store_true",
                        help="Skip signal generation after ingest")
    args = parser.parse_args(sys.argv[2:])

    init_db()

    if args.years:
        stored = ingest_years(args.years[0], args.years[1])
    else:
        if not args.quarter:
            parser.error("--year requires --quarter")
        stored = ingest_quarter(args.year, args.quarter)

    logger.info(f"Ingest complete: {stored} transaction rows stored")

    if not args.no_signals:
        _run_signals("after backfill")


def cmd_backtest():
    """Backtest signals in the DB against historical prices via yfinance."""
    from backtest.backtest import run_backtest, print_summary
    import config

    logger.info("Running backtest...")
    summary = run_backtest(
        db_path=config.DB_PATH,
        holding_days=config.HOLDING_PERIOD_DAYS,
        min_score=config.SCORE_ALERT_THRESHOLD,
        min_cluster_size=config.MIN_CLUSTER_SIZE,
    )
    print_summary(summary)


def cmd_simulate():
    """Portfolio simulation with configurable strategy and transaction cost params.

    Usage:
      python main.py simulate [--holding-days 7] [--buy-delay 1]
                              [--position-size 0.10] [--min-score 0] [--min-cluster 1]
                              [--capital 100000]
                              [--spread 0.003] [--slippage 0.002] [--commission 0.001]
    """
    from backtest.simulate import main as sim_main
    sim_main()


def cmd_plot():
    """Generate HP heatmap and equity curve plots. Saves PNGs to plots/."""
    from backtest.plot import main as plot_main
    plot_main()


COMMANDS = {
    "run": cmd_run,
    "backfill": cmd_backfill,
    "backtest": cmd_backtest,
    "simulate": cmd_simulate,
    "plot": cmd_plot,
}

if __name__ == "__main__":
    cmd = sys.argv[1] if len(sys.argv) > 1 else "run"
    if cmd not in COMMANDS:
        print(f"Usage: python main.py [{' | '.join(COMMANDS)}]")
        sys.exit(1)
    COMMANDS[cmd]()