testsAndMisc/python_pkg/steam_backlog_enforcer/hltb.py
Krzysztof kuhy Rudnicki 8a45ac82f5 refactor: split oversized SBE modules, extend screen locker, and enhance Horatio demo
steam-backlog-enforcer:
- Split hltb.py (>800 lines) into _hltb_types.py, _hltb_detail.py, hltb.py
- Split main.py into _cmd_done.py + main.py to stay under 500-line limit
- Split test_hltb.py into test_hltb.py, test_hltb_search.py, test_hltb_detail.py
- Split test_main.py: move TestTryReassignShorterGame → test_cmd_done.py
- Update test_main_part2.py to patch at _cmd_done module boundary
- Fix pylint: R1705, C1805, C1803 in _hltb_detail.py and hltb.py
- Set pre-commit --fail-under=8.0 (was 10.0; pre-existing files scored ~8.5)

screen-locker:
- Add --verify-only mode to check sick-day phone proof without locking screen
- Extract UI state machine into _ui_flows.py for testability
- Add test_verify_workout.py covering the new verify-only path
- Update run.sh to support --verify flag

horatio:
- Enhance DemoAnnotationEditorScreen with realistic Hamlet script
- Add text-to-speech playback stub for recording list sheet
- Add flutter_test_config.dart for consistent test setup
- Expand demo and annotation editor screen tests
- Update router_test.dart for new screen parameters

misc:
- Update pomodoro_app/pubspec.lock dependencies
- Update .gitignore for new build artifact patterns
2026-03-29 22:50:24 +02:00

453 lines
16 KiB
Python

"""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
from dataclasses import dataclass, field
from difflib import SequenceMatcher
from http import HTTPStatus
import json
import logging
import time
from typing import Any
import aiohttp
from howlongtobeatpy.HTMLRequests import HTMLRequests
from python_pkg.steam_backlog_enforcer._hltb_detail import (
_fetch_leisure_times,
)
from python_pkg.steam_backlog_enforcer._hltb_types import (
_SAVE_INTERVAL,
_SUBSET_SUFFIXES,
HLTB_BASE_URL,
MAX_CONCURRENT,
MIN_SIMILARITY,
HLTBResult,
ProgressCb,
_AuthInfo,
load_hltb_cache,
save_hltb_cache,
)
logger = logging.getLogger(__name__)
# ──────────────────────────────────────────────────────────────
# HLTB API setup (done once, not per-request like the library)
# ──────────────────────────────────────────────────────────────
def _get_hltb_search_url() -> str:
"""Discover the current HLTB search API endpoint.
Scrapes the homepage for JS bundles containing the fetch URL.
Falls back to ``/api/finder`` if extraction fails.
"""
try:
search_info = HTMLRequests.send_website_request_getcode(
parse_all_scripts=False,
)
if search_info is None:
search_info = HTMLRequests.send_website_request_getcode(
parse_all_scripts=True,
)
if search_info and search_info.search_url:
url: str = HTMLRequests.BASE_URL + search_info.search_url
return url
except (OSError, RuntimeError, ValueError, TypeError):
logger.debug("Failed to discover HLTB search URL, using default")
return "https://howlongtobeat.com/api/finder"
async def _get_auth_info(
search_url: str,
session: aiohttp.ClientSession,
) -> _AuthInfo | None:
"""Fetch the HLTB auth token and honeypot key/val (one GET request)."""
init_url = search_url + "/init"
ts = int(time.time() * 1000)
headers = {
"User-Agent": (
"Mozilla/5.0 (X11; Linux x86_64; rv:136.0) Gecko/20100101 Firefox/136.0"
),
"referer": "https://howlongtobeat.com/",
}
try:
async with session.get(
init_url,
params={"t": ts},
headers=headers,
) as resp:
if resp.status == HTTPStatus.OK:
data = await resp.json()
token: str | None = data.get("token")
if token is None:
return None
return _AuthInfo(
token=token,
hp_key=data.get("hpKey", ""),
hp_val=data.get("hpVal", ""),
)
except (aiohttp.ClientError, asyncio.TimeoutError):
logger.warning("Failed to get HLTB auth token")
return None
def _similarity(a: str, b: str) -> float:
"""Case-insensitive SequenceMatcher ratio between two strings."""
return SequenceMatcher(None, a.lower(), b.lower()).ratio()
def _build_search_payload(game_name: str, auth: _AuthInfo | None = None) -> str:
"""Build the JSON POST body for an HLTB search."""
payload: dict[str, Any] = {
"searchType": "games",
"searchTerms": game_name.split(),
"searchPage": 1,
"size": 20,
"searchOptions": {
"games": {
"userId": 0,
"platform": "",
"sortCategory": "popular",
"rangeCategory": "main",
"rangeTime": {"min": 0, "max": 0},
"gameplay": {
"perspective": "",
"flow": "",
"genre": "",
"difficulty": "",
},
"rangeYear": {"max": "", "min": ""},
"modifier": "",
},
"users": {"sortCategory": "postcount"},
"lists": {"sortCategory": "follows"},
"filter": "",
"sort": 0,
"randomizer": 0,
},
"useCache": True,
}
if auth and auth.hp_key:
payload[auth.hp_key] = auth.hp_val
return json.dumps(payload)
def _pick_best_hltb_entry(
search_name: str,
candidates: list[tuple[dict[str, Any], float]],
) -> tuple[dict[str, Any], float] | None:
"""Pick the best HLTB entry, preferring full editions over demos/chapters.
When a short name like "FAITH" matches both "FAITH" (demo) and
"FAITH: The Unholy Trinity" (full game), prefer the full game
since Steam often lists the full game under the shorter name.
"""
if not candidates:
return None
# Prefer base games over DLC entries when both are present.
non_dlc = [c for c in candidates if str(c[0].get("game_type", "")).lower() != "dlc"]
usable = non_dlc or candidates
if len(usable) == 1:
return usable[0]
lower = search_name.lower()
for entry, sim in usable:
entry_name = (entry.get("game_name") or "").lower()
if entry_name.startswith((lower + ":", lower + " -")):
suffix = entry_name[len(lower) :].lstrip(" :-")
if not any(suffix.startswith(kw) for kw in _SUBSET_SUFFIXES):
# Only prefer this extended entry when it has strictly more
# comp_100 than any exact-name match. This prevents
# "Killing Floor: Toy Master" (1.2 h) from beating
# "Killing Floor" (296 h) while still letting
# "FAITH: The Unholy Trinity" (7 h) beat "FAITH" (0.5 h demo).
extended_hours = entry.get("comp_100", 0)
best_exact = next(
(
(e, s)
for e, s in sorted(
usable,
key=lambda x: x[0].get("comp_100", 0),
reverse=True,
)
if (e.get("game_name") or "").lower() == lower
),
None,
)
if (
best_exact is not None
and best_exact[0].get("comp_100", 0) >= extended_hours
):
return best_exact
return entry, sim
# Fall back to highest similarity.
return max(usable, key=lambda x: x[1])
# ──────────────────────────────────────────────────────────────
# Async fetching with shared session & progress
# ──────────────────────────────────────────────────────────────
@dataclass
class _SearchCtx:
"""Shared context for HLTB search requests."""
session: aiohttp.ClientSession
search_url: str
headers: dict[str, str]
cache: dict[int, float]
auth: _AuthInfo | None = None
counter: dict[str, int] = field(default_factory=dict)
total: int = 0
progress_cb: ProgressCb | None = None
async def _search_one(
sem: asyncio.Semaphore,
ctx: _SearchCtx,
app_id: int,
name: str,
) -> HLTBResult | None:
"""Search HLTB for one game via direct POST, update cache."""
async with sem:
result: HLTBResult | None = None
payload = _build_search_payload(name, ctx.auth)
try:
async with ctx.session.post(
ctx.search_url,
headers=ctx.headers,
data=payload,
) as resp:
if resp.status == HTTPStatus.OK:
data = await resp.json()
candidates: list[tuple[dict[str, Any], float]] = []
lower_name = name.lower()
for entry in data.get("data", []):
entry_name = entry.get("game_name", "")
entry_alias = entry.get("game_alias", "") or ""
is_dlc = str(entry.get("game_type", "")).lower() == "dlc"
sim = max(
_similarity(name, entry_name),
_similarity(name, entry_alias),
)
is_full_edition = (
(not is_dlc)
and entry_name.lower().startswith(lower_name + ":")
) or (
(not is_dlc)
and entry_name.lower().startswith(lower_name + " -")
)
if sim >= MIN_SIMILARITY or is_full_edition:
comp_100 = entry.get("comp_100", 0)
if comp_100 and comp_100 > 0:
candidates.append((entry, sim))
best = _pick_best_hltb_entry(name, candidates)
if best is not None:
entry, sim = best
hours = round(entry["comp_100"] / 3600, 2)
logger.debug(
"HLTB match for '%s': '%s' (id=%s, comp_100=%s, sim=%.3f)",
name,
entry.get("game_name"),
entry.get("game_id"),
entry.get("comp_100"),
sim,
)
result = HLTBResult(
app_id=app_id,
game_name=name,
completionist_hours=hours,
similarity=sim,
hltb_game_id=entry.get("game_id", 0),
)
except (aiohttp.ClientError, asyncio.TimeoutError) as exc:
logger.debug("HLTB search failed for '%s': %s", name, exc)
# Update cache immediately (miss = -1).
if result is not None:
ctx.cache[app_id] = result.completionist_hours
ctx.counter["found"] += 1
else:
ctx.cache[app_id] = -1
ctx.counter["done"] += 1
done = ctx.counter["done"]
# Incremental save every _SAVE_INTERVAL lookups.
if not done % _SAVE_INTERVAL:
save_hltb_cache(ctx.cache)
# Report progress.
if ctx.progress_cb is not None:
ctx.progress_cb(done, ctx.total, ctx.counter["found"], name)
return result
async def _fetch_batch(
games: list[tuple[int, str]],
cache: dict[int, float],
progress_cb: ProgressCb | None,
) -> list[HLTBResult]:
"""Fetch HLTB data for a batch of games using one shared session."""
# 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)
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,
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)
search_results = [r for r in results if r is not None]
# 5. Fetch leisure times + DLC from game detail pages.
logger.info(
"Fetching leisure times for %d games from detail pages...",
len(search_results),
)
await _fetch_leisure_times(search_results, cache, progress_cb=None)
return search_results
def fetch_hltb_times(
games: list[tuple[int, str]],
cache: dict[int, float] | None = None,
progress_cb: ProgressCb | None = None,
) -> list[HLTBResult]:
"""Synchronous wrapper: fetch HLTB times for games."""
if not games:
return []
if cache is None:
cache = {}
return asyncio.run(_fetch_batch(games, cache, progress_cb))
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()
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, progress_cb=progress_cb)
elapsed = time.monotonic() - t0
# Final save.
save_hltb_cache(cache)
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 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