steam-backlog-enforcer/steam_backlog_enforcer/_hltb_confidence.py

"""Cached HowLongToBeat confidence lookups.

Split out of :mod:`steam_backlog_enforcer.hltb` to keep both files
under the 250-line cap.
"""

from __future__ import annotations

import logging
import time

from steam_backlog_enforcer._hltb_types import (
    HLTB_BASE_URL,
    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,
)
from steam_backlog_enforcer.hltb import (
    fetch_hltb_confidence,
    fetch_hltb_times,
)

logger = logging.getLogger(__name__)


# ──────────────────────────────────────────────────────────────
# Confidence-only batch fetch (no leisure/DLC detail pages)
# ──────────────────────────────────────────────────────────────


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