"""`findata` operator CLI."""
from __future__ import annotations

import json
from pathlib import Path

import typer

app = typer.Typer(no_args_is_help=True, help="FinData OS operator CLI")


@app.callback()
def _main() -> None:
    import atexit

    from findata_core.db import close_pool
    atexit.register(close_pool)
ingest_app = typer.Typer(no_args_is_help=True)
app.add_typer(ingest_app, name="ingest")


@app.command()
def migrate() -> None:
    """Apply database migrations."""
    from findata_core.db import migrate as _m
    applied = _m()
    typer.echo(f"applied: {applied or 'nothing'}")


@app.command()
def discover(source: str = "all") -> None:
    """Sanitized live probe of vendor capabilities (no bulk download)."""
    out = {}
    if source in ("all", "firstrate"):
        from findata_market_firstrate import FirstRateMarketConnector
        out["firstrate"] = FirstRateMarketConnector().discover()
    if source in ("all", "firstrate_fundamentals"):
        from findata_fundamentals import FirstRateFundamentalsConnector
        out["firstrate_fundamentals"] = FirstRateFundamentalsConnector().discover()
    if source in ("all", "sec_edgar"):
        from findata_fundamentals import SecEdgarConnector
        out["sec_edgar"] = SecEdgarConnector().status()
    typer.echo(json.dumps(out, indent=2, default=str))


@app.command()
def worker(once: bool = False, no_scheduler: bool = False, kinds: str | None = None) -> None:
    """Run the single ingest worker (+ scheduler)."""
    from findata_ingest.worker import main
    main(once=once, kinds=kinds.split(",") if kinds else None, with_scheduler=not no_scheduler)


@ingest_app.command("metadata")
def ingest_metadata(types: str = "stock,etf") -> None:
    from findata_ingest import queue
    typer.echo(queue.enqueue("metadata", None, {"types": types.split(",")}, priority=10, created_by="cli"))


@ingest_app.command("incremental")
def ingest_incremental(type_: str = typer.Option("stock", "--type"), period: str = "day", timeframe: str = "1min",
                       adjustment: str = "UNADJUSTED", force: bool = False) -> None:
    from findata_ingest import queue
    from findata_ingest.tasks.common import DATASET_ASSET
    typer.echo(queue.enqueue("incremental", DATASET_ASSET[type_], {"type": type_, "period": period, "timeframe": timeframe,
                             "adjustment": adjustment, "force": force}, priority=20, created_by="cli"))


@ingest_app.command("backfill")
def ingest_backfill(ticker_range: str, type_: str = typer.Option("stock", "--type"), timeframe: str = "1min",
                    adjustment: str = "UNADJUSTED", symbols: str | None = None, max_symbols: int = 0) -> None:
    """Bounded backfill of one ticker_range letter (full archive). Disk budget enforced by the lake."""
    from findata_ingest import queue
    from findata_ingest.tasks.common import DATASET_ASSET
    for letter in ticker_range.upper():
        jid = queue.enqueue("backfill", DATASET_ASSET[type_], {"type": type_, "ticker_range": letter, "timeframe": timeframe, "adjustment": adjustment,
                            "symbols": symbols.split(",") if symbols else None, "max_symbols": max_symbols}, priority=35, created_by="cli",
                            dedupe_key=f"backfill:{type_}:{letter}:{timeframe}:{adjustment}")
        typer.echo(f"{letter}: {jid or 'already queued'}")


@ingest_app.command("fundamentals")
def ingest_fundamentals(tickers: str) -> None:
    from findata_ingest import queue
    typer.echo(queue.enqueue("fundamentals", "fundamentals.financials", {"tickers": tickers.split(",")}, priority=30, created_by="cli"))


@ingest_app.command("derive")
def ingest_derive(dates: str | None = None, source: str = "market_bars.stock.1m.raw") -> None:
    from findata_ingest import queue
    typer.echo(queue.enqueue("derive", source.replace(".1m.", ".5m."), {"source_dataset": source, "target_interval": "5m", "dates": dates.split(",") if dates else []}, created_by="cli"))


@ingest_app.command("compaction")
def ingest_compaction(dataset: str = "market_bars.stock.1m.raw", min_age_days: int = 35) -> None:
    from findata_ingest import queue
    typer.echo(queue.enqueue("compaction", dataset, {"min_age_days": min_age_days}, priority=60, created_by="cli"))


@ingest_app.command("jobs")
def ingest_jobs(limit: int = 20) -> None:
    from findata_core.db import fetch_all
    for r in fetch_all("SELECT id, kind, dataset_id, status, attempts, created_at, finished_at, left(last_error, 80) err FROM ingest_jobs ORDER BY created_at DESC LIMIT %s", (limit,)):
        typer.echo(f"{str(r['id'])[:8]} {r['kind']:<12} {r['dataset_id']!s:<28} {r['status']:<9} a={r['attempts']} {r['created_at']:%m-%d %H:%M} {r['err'] or ''}")


@app.command()
def backup(now: bool = True) -> None:
    from findata_ingest import queue
    typer.echo(queue.enqueue("backup", None, {}, priority=5, created_by="cli"))


@app.command("restore-drill")
def restore_drill(dest: Path = Path("/tmp/findata-restore-drill"), dataset: str = "market_bars.stock.1m.raw") -> None:
    from findata_core.config import get_settings

    from findata_ingest.tasks.backup import restore_drill as rd
    typer.echo(json.dumps(rd(get_settings().backup_target, dest, dataset), indent=2, default=str))


@app.command("create-owner")
def create_owner(email: str, password: str | None = None) -> None:
    """Create (or reset the password of) the owner account; prints the TOTP provisioning URI."""
    from findata_api.auth import create_owner as _co
    typer.echo(json.dumps(_co(email, password), indent=2))


@app.command("create-key")
def create_key(email: str, name: str, scopes: str = "read:market,read:fundamentals,query,export") -> None:
    from findata_api.auth import create_api_key_for_email
    typer.echo(json.dumps(create_api_key_for_email(email, name, scopes.split(",")), indent=2))


@app.command()
def status() -> None:
    from findata_core.db import fetch_all, fetch_one

    from findata_ingest.lake import Lake
    lake = Lake()
    typer.echo(f"lake {lake.root}  free {lake.free_gb():.1f} GB  curated {lake.used_bytes('curated')/1e9:.2f} GB  raw {lake.used_bytes('raw')/1e9:.2f} GB")
    for r in fetch_all("SELECT d.id, d.status, d.current_version, v.file_count, v.row_count, v.bytes FROM datasets d LEFT JOIN dataset_versions v ON v.dataset_id=d.id AND v.version=d.current_version ORDER BY d.id"):
        typer.echo(f"  {r['id']:<36} {r['status']:<22} v{r['current_version']:<4} files={r['file_count'] or 0:<6} rows={r['row_count'] or 0:<12} {(r['bytes'] or 0)/1e6:.1f} MB")
    q = fetch_one("SELECT count(*) FILTER (WHERE status='queued') q, count(*) FILTER (WHERE status='running') r, count(*) FILTER (WHERE status='dead') d FROM ingest_jobs")
    typer.echo(f"jobs queued={q['q']} running={q['r']} dead={q['d']}")


if __name__ == "__main__":
    app()