"""HowLongToBeat integration for estimating game completion times.

Fetches leisure completionist hour estimates from howlongtobeat.com with:
- direct API calls (bypassing the slow howlongtobeatpy per-request setup)
- single shared aiohttp session for all requests
- concurrent requests with configurable concurrency
- live progress reporting via callback
- incremental disk-cache saves so crashes don't lose work
- leisure time (upper-bound play time) from individual game pages
- DLC time aggregation (base game + all DLC leisure times combined)
"""

from __future__ import annotations

import asyncio
import logging
import time

import aiohttp

from steam_backlog_enforcer._hltb_search import (
    _fetch_batch,
    _get_auth_info,
    _get_hltb_search_url,
    _search_one,
    _SearchCtx,
)
from steam_backlog_enforcer._hltb_types import (
    HLTB_BASE_URL,
    MAX_CONCURRENT,
    HLTBResult,
    ProgressCb,
    _HLTBExtras,
    load_hltb_cache,
    load_hltb_count_comp_cache,
    load_hltb_game_id_cache,
    load_hltb_leisure_100h_cache,
    load_hltb_polls_cache,
    load_hltb_rush_cache,
    save_hltb_cache,
)

logger = logging.getLogger(__name__)


# ──────────────────────────────────────────────────────────────
# Confidence-only batch fetch (no leisure/DLC detail pages)
# ──────────────────────────────────────────────────────────────
async def _fetch_batch_confidence_only(
    games: list[tuple[int, str]],
    cache: dict[int, float],
    polls: dict[int, int],
    progress_cb: ProgressCb | None,
    count_comp: dict[int, int] | None = None,
) -> list[HLTBResult]:
    """Fetch only search-level HLTB data (hours + confidence), no detail pages."""
    # 1. Discover the search URL (sync, one-time).
    search_url = _get_hltb_search_url()
    logger.info("HLTB search URL: %s", search_url)

    timeout = aiohttp.ClientTimeout(total=20, sock_read=15)

    # 2. Get auth info (separate session — avoids reuse issues).
    async with aiohttp.ClientSession(timeout=timeout) as init_session:
        auth = await _get_auth_info(search_url, init_session)
    if auth is None:
        logger.warning("Could not get HLTB auth info, aborting fetch.")
        return []
    logger.info("HLTB auth token acquired.")

    # 3. Build shared headers for all search requests.
    headers: dict[str, str] = {
        "content-type": "application/json",
        "accept": "*/*",
        "User-Agent": (
            "Mozilla/5.0 (X11; Linux x86_64; rv:136.0) Gecko/20100101 Firefox/136.0"
        ),
        "referer": "https://howlongtobeat.com/",
        "x-auth-token": auth.token,
    }
    if auth.hp_key:
        headers["x-hp-key"] = auth.hp_key
        headers["x-hp-val"] = auth.hp_val

    # 4. Fire all searches through a single persistent session.
    sem = asyncio.Semaphore(MAX_CONCURRENT)
    counter = {"done": 0, "found": 0}
    total = len(games)

    if count_comp is None:
        count_comp = {}

    connector = aiohttp.TCPConnector(
        limit=MAX_CONCURRENT,
        keepalive_timeout=30,
    )
    async with aiohttp.ClientSession(
        timeout=timeout,
        connector=connector,
    ) as session:
        ctx = _SearchCtx(
            session=session,
            search_url=search_url,
            headers=headers,
            cache=cache,
            polls=polls,
            count_comp=count_comp,
            auth=auth,
            counter=counter,
            total=total,
            progress_cb=progress_cb,
        )
        tasks = [
            _search_one(
                sem,
                ctx,
                app_id,
                name,
            )
            for app_id, name in games
        ]
        results = await asyncio.gather(*tasks)

    return [r for r in results if r is not None]


def fetch_hltb_times(
    games: list[tuple[int, str]],
    cache: dict[int, float] | None = None,
    polls: dict[int, int] | None = None,
    progress_cb: ProgressCb | None = None,
    extras: _HLTBExtras | None = None,
) -> list[HLTBResult]:
    """Synchronous wrapper: fetch HLTB times for games."""
    if not games:
        return []
    if cache is None:
        cache = {}
    if polls is None:
        polls = {}
    return asyncio.run(
        _fetch_batch(
            games,
            cache,
            polls,
            progress_cb,
            extras=extras,
        )
    )


def fetch_hltb_confidence(
    games: list[tuple[int, str]],
    cache: dict[int, float] | None = None,
    polls: dict[int, int] | None = None,
    progress_cb: ProgressCb | None = None,
    count_comp: dict[int, int] | None = None,
) -> list[HLTBResult]:
    """Fetch only HLTB search-level data (hours + confidence metrics)."""
    if not games:
        return []
    if cache is None:
        cache = {}
    if polls is None:
        polls = {}
    if count_comp is None:
        count_comp = {}
    return asyncio.run(
        _fetch_batch_confidence_only(
            games,
            cache,
            polls,
            progress_cb,
            count_comp=count_comp,
        )
    )


def fetch_hltb_times_cached(
    games: list[tuple[int, str]],
    progress_cb: ProgressCb | None = None,
) -> dict[int, float]:
    """Fetch HLTB times, using disk cache for already-known games.

    Args:
        games: list of (app_id, name) tuples to look up.
        progress_cb: optional callback(done, total, found, game_name).

    Returns: dict mapping app_id -> completionist_hours.
    """
    cache = load_hltb_cache()
    polls = load_hltb_polls_cache()
    extras = _HLTBExtras(
        count_comp=load_hltb_count_comp_cache(),
        rush=load_hltb_rush_cache(),
        leisure_100h=load_hltb_leisure_100h_cache(),
    )
    uncached = [(app_id, name) for app_id, name in games if app_id not in cache]

    if uncached:
        logger.info(
            "Fetching HLTB data for %d uncached games (%d cached)...",
            len(uncached),
            len(games) - len(uncached),
        )
        t0 = time.monotonic()
        fetch_hltb_times(
            uncached,
            cache=cache,
            polls=polls,
            progress_cb=progress_cb,
            extras=extras,
        )
        elapsed = time.monotonic() - t0

        # Final save.
        save_hltb_cache(cache, polls, extras)

        found = sum(1 for aid, _ in uncached if cache.get(aid, -1) > 0)
        rate = len(uncached) / elapsed if elapsed > 0 else 0
        logger.info(
            "HLTB fetch done: %d/%d found in %.1fs (%.0f games/s)",
            found,
            len(uncached),
            elapsed,
            rate,
        )
    else:
        logger.info("All %d games found in HLTB cache.", len(games))

    return cache


def fetch_hltb_confidence_cached(
    games: list[tuple[int, str]],
    progress_cb: ProgressCb | None = None,
) -> dict[int, float]:
    """Fetch HLTB search-level confidence data, using disk cache for known IDs."""
    cache = load_hltb_cache()
    polls = load_hltb_polls_cache()
    count_comp = load_hltb_count_comp_cache()
    uncached = [(app_id, name) for app_id, name in games if app_id not in cache]

    if uncached:
        logger.info(
            "Fetching HLTB confidence for %d uncached games (%d cached)...",
            len(uncached),
            len(games) - len(uncached),
        )
        t0 = time.monotonic()
        fetch_hltb_confidence(
            uncached,
            cache=cache,
            polls=polls,
            progress_cb=progress_cb,
            count_comp=count_comp,
        )
        elapsed = time.monotonic() - t0

        save_hltb_cache(cache, polls, _HLTBExtras(count_comp=count_comp))

        found = sum(1 for aid, _ in uncached if cache.get(aid, -1) > 0)
        rate = len(uncached) / elapsed if elapsed > 0 else 0
        logger.info(
            "HLTB confidence fetch done: %d/%d found in %.1fs (%.0f games/s)",
            found,
            len(uncached),
            elapsed,
            rate,
        )
    else:
        logger.info("All %d games found in HLTB cache.", len(games))

    return cache


def fetch_hltb_detail_missing(
    games: list[tuple[int, str]],
    progress_cb: ProgressCb | None = None,
) -> int:
    """Fetch HLTB detail (rush + leisure) for games that are missing it.

    Also backfills ``hltb_game_id`` for any game that already has rush/leisure
    data but whose HLTB game ID was never stored (e.g. from an old cache).
    Games with both rush data and a game_id are skipped entirely.  For the
    rest, temporarily removes them from the hours cache so ``fetch_hltb_times``
    will visit their detail pages.  Restores prior hours for any game the
    re-fetch doesn't find.

    Args:
        games: list of (app_id, name) tuples to check.
        progress_cb: optional progress callback.

    Returns:
        Number of games that now have rush-hour data after the fetch.
    """
    rush = load_hltb_rush_cache()
    game_id_cache = load_hltb_game_id_cache()
    missing_rush = [
        (app_id, name) for app_id, name in games if rush.get(app_id, -1) <= 0
    ]
    # Also re-search games that have rush data but no HLTB game ID yet so the
    # direct URL can be shown in stats output.
    missing_id_only = [
        (app_id, name)
        for app_id, name in games
        if rush.get(app_id, -1) > 0 and game_id_cache.get(app_id, 0) == 0
    ]
    missing = missing_rush + missing_id_only
    if not missing:
        return 0

    cache = load_hltb_cache()
    polls = load_hltb_polls_cache()
    extras = _HLTBExtras(
        count_comp=load_hltb_count_comp_cache(),
        rush=rush,
        leisure_100h=load_hltb_leisure_100h_cache(),
        hltb_game_id=game_id_cache,
    )

    # Remove from hours cache so fetch_hltb_times will visit the detail page.
    prior_hours: dict[int, float] = {}
    for app_id, _ in missing:
        prior_hours[app_id] = cache.pop(app_id, -1.0)

    n_rush = len(missing_rush)
    n_id = len(missing_id_only)
    if n_rush and n_id:
        logger.info(
            "Fetching HLTB detail for %d games missing rush/leisure data"
            " + %d games missing game ID...",
            n_rush,
            n_id,
        )
    elif n_rush:
        logger.info(
            "Fetching HLTB detail for %d games missing rush/leisure data...", n_rush
        )
    else:
        logger.info("Backfilling HLTB game ID for %d game(s)...", n_id)
    t0 = time.monotonic()
    fetch_hltb_times(
        missing,
        cache=cache,
        polls=polls,
        progress_cb=progress_cb,
        extras=extras,
    )
    elapsed = time.monotonic() - t0

    # Restore prior hours for games the detail fetch didn't re-find.
    for app_id, old_hours in prior_hours.items():
        if old_hours > 0 and cache.get(app_id, -1.0) <= 0:
            cache[app_id] = old_hours

    save_hltb_cache(cache, polls, extras)

    fetched = sum(1 for app_id, _ in missing_rush if extras.rush.get(app_id, -1) > 0)
    rate = len(missing) / elapsed if elapsed > 0 else 0
    logger.info(
        "HLTB detail fetch done: %d/%d got rush data in %.1fs (%.0f games/s)",
        fetched,
        len(missing_rush),
        elapsed,
        rate,
    )
    return fetched


def get_hltb_submit_url(game_name: str) -> str | None:
    """Look up a game on HLTB and return its submit page URL.

    Args:
        game_name: Name of the game to search for.

    Returns:
        URL like ``https://howlongtobeat.com/submit/game/12345``,
        or ``None`` if the game wasn't found.
    """
    results = fetch_hltb_times([(0, game_name)])
    if results and results[0].hltb_game_id:
        return f"{HLTB_BASE_URL}/submit/game/{results[0].hltb_game_id}"
    return None