"""Derive 5-minute (or other) bars from validated 1-minute bars, per session_date (delta layout, supersede)."""
from __future__ import annotations

from datetime import date
from typing import Any

from findata_core.db import connection, transaction
from findata_quality import aggregate_bars
from findata_schema import Interval

from findata_ingest.lake import Lake, live_files
from findata_ingest.reader import read_bars
from findata_ingest.tasks.common import live_delta_paths_for_dates, upsert_coverage


def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
    p = job.get("params") or {}
    src = p["source_dataset"]
    dst = job.get("dataset_id") or src.replace(".1m.", ".5m.")
    target = Interval(p.get("target_interval", "5m"))
    dates = [date.fromisoformat(d) for d in p.get("dates", [])]
    symbols = p.get("symbols")
    run_id = job.get("run_id")
    with connection() as conn:
        if not dates:
            # all live source dates for requested symbols
            fl = live_files(conn, src, symbols)
            ds = set()
            for f in fl:
                d = f["date_min"]
                while d <= f["date_max"]:
                    ds.add(d)
                    d = d.fromordinal(d.toordinal() + 1)
            dates = sorted(ds)
        all_syms = symbols or [r["symbol"] for r in conn.execute("SELECT DISTINCT symbol FROM coverage WHERE dataset_id=%s AND session_date = ANY(%s)", (src, dates)).fetchall()]
    written, rows = [], 0
    tables = {}
    for d in dates:
        t, _ = read_bars(src, all_syms, d, d, lake=lake)
        if t.num_rows == 0:
            continue
        agg = aggregate_bars(t, target, Interval.m1)
        tables[d] = agg
        rows += agg.num_rows
        written.append(lake.write_table(dst, agg, "delta", {"session_date": d.isoformat()}))
    if not written:
        return {"rows": 0, "dates": len(dates)}
    with connection() as conn:
        retire = live_delta_paths_for_dates(conn, dst, list(tables)) if not symbols else []
    pub = lake.publish(dst, written, retire, run_id, note=f"derive {target.value} from {src}")
    with transaction() as conn:
        for t in tables.values():
            upsert_coverage(conn, dst, t, target)
    log.info("derive.done", rows=rows, files=len(written), **pub)
    return {"rows": rows, "files": len(written), "dates": len(tables), **pub}