from __future__ import annotations

from typing import Any, Iterable

from datahub.db import HubDB
from datahub.timeutil import iter_yyyymmdd, yyyymmdd

MISSING_SAMPLE_LIMIT = 10


def coverage_payload(
    *,
    kind: str,
    start: str,
    end: str,
    expected: Iterable[str],
    available: Iterable[str],
    extra: dict[str, Any] | None = None,
) -> dict[str, Any]:
    start = yyyymmdd(start)
    end = yyyymmdd(end)
    expected_list = sorted({yyyymmdd(item) for item in expected if item})
    available_set = {yyyymmdd(item) for item in available if item}
    missing = [item for item in expected_list if item not in available_set]
    payload: dict[str, Any] = {
        "kind": kind,
        "complete": not missing,
        "requested_from": start,
        "requested_to": end,
        "available_from": min(available_set) if available_set else None,
        "available_to": max(available_set) if available_set else None,
        "expected_count": len(expected_list),
        "available_count": len(available_set),
        "missing_count": len(missing),
        "missing_sample": missing[:MISSING_SAMPLE_LIMIT],
    }
    if extra:
        payload.update(extra)
    return payload


def calendar_coverage(db: HubDB, start: str, end: str, exchange: str = "SSE") -> dict[str, Any]:
    start = yyyymmdd(start)
    end = yyyymmdd(end)
    expected = list(iter_yyyymmdd(start, end))
    rows = db.fetchall(
        "SELECT cal_date FROM trade_calendar WHERE exchange = ? AND cal_date >= ? AND cal_date <= ?",
        (exchange, start, end),
    )
    return coverage_payload(
        kind="calendar",
        start=start,
        end=end,
        expected=expected,
        available=(row["cal_date"] for row in rows),
        extra={"exchange": exchange},
    )


def published_range_coverage(
    db: HubDB,
    dataset: str,
    start: str,
    end: str,
    ts_code: str = "",
    table: str = "",
) -> dict[str, Any]:
    start = yyyymmdd(start)
    end = yyyymmdd(end)
    calendar = calendar_coverage(db, start, end)
    open_rows = db.fetchall(
        """
        SELECT cal_date FROM trade_calendar
        WHERE exchange = 'SSE' AND is_open = 1 AND cal_date >= ? AND cal_date <= ?
        ORDER BY cal_date
        """,
        (start, end),
    )
    expected_open = [row["cal_date"] for row in open_rows]
    pubs = db.fetchall(
        """
        SELECT trade_date, active_batch FROM publications
        WHERE dataset = ? AND trade_date >= ? AND trade_date <= ?
        ORDER BY trade_date
        """,
        (dataset, start, end),
    )
    published_dates = [row["trade_date"] for row in pubs]
    available = list(published_dates)
    extra: dict[str, Any] = {
        "dataset": dataset,
        "calendar_complete": calendar["complete"],
        "calendar_missing_count": calendar["missing_count"],
    }
    if ts_code and table and pubs:
        present_code: list[str] = []
        for pub in pubs:
            hit = db.fetchone(
                f"SELECT 1 AS ok FROM {table} WHERE trade_date = ? AND batch_id = ? AND ts_code = ? LIMIT 1",
                (pub["trade_date"], pub["active_batch"], ts_code),
            )
            if hit:
                present_code.append(pub["trade_date"])
        available = present_code
        extra["code"] = ts_code
    payload = coverage_payload(
        kind="published_range",
        start=start,
        end=end,
        expected=expected_open,
        available=available,
        extra=extra,
    )
    if not calendar["complete"]:
        payload["complete"] = False
        payload["calendar_missing_sample"] = calendar["missing_sample"]
    return payload


def point_coverage(trade_date: str, dataset: str = "") -> dict[str, Any]:
    day = yyyymmdd(trade_date)
    payload = coverage_payload(
        kind="point",
        start=day,
        end=day,
        expected=[day],
        available=[day],
        extra={"dataset": dataset} if dataset else None,
    )
    return payload