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saphidandClaude Opus 5.5
f6e77cd98c
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
60 lines
2.4 KiB
Python
60 lines
2.4 KiB
Python
"""Computer side: search the Steam store and look up each result's Steam Frame rating.
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Uses the store's public endpoints (no key, no login):
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api/storesearch name search, price in the IP's currency
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saleaction/ajaxgetdeckappcompatibilityreport per-app Deck/SteamOS/Machine/Frame ratings;
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`frame_resolved_category` is the Frame's
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Buying happens on the store page, signed in as the user; nothing here buys.
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"""
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import http.client
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import json
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import threading
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import time
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import urllib.parse
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import urllib.request
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from concurrent.futures import ThreadPoolExecutor
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STORE = "https://store.steampowered.com"
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UA = {"User-Agent": "FrameControl/1 (+local)"}
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COMPAT_TTL = 24 * 3600
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_compat = {} # appid -> (time, category)
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_lock = threading.Lock()
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def _get(path, params, timeout=10):
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url = f"{STORE}/{path}?{urllib.parse.urlencode(params)}"
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with urllib.request.urlopen(urllib.request.Request(url, headers=UA), timeout=timeout) as r:
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return json.load(r)
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def frame_rating(appid):
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"""0 unknown, 1 unsupported, 2 playable, 3 verified (same scale as the client's)."""
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with _lock:
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hit = _compat.get(appid)
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if hit and time.time() - hit[0] < COMPAT_TTL:
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return hit[1]
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try:
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r = _get("saleaction/ajaxgetdeckappcompatibilityreport", {"nAppID": appid, "l": "english"})
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cat = int((r.get("results") or {}).get("frame_resolved_category") or 0)
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cat = cat if 0 <= cat <= 3 else 0
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except (OSError, ValueError, TypeError, AttributeError, http.client.HTTPException):
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return 0 # not cached, so the next search retries
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with _lock:
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_compat[appid] = (time.time(), cat)
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return cat
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def search(term, cc):
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"""cc: two-letter store country; storesearch returns nothing without one."""
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term = term.strip()[:100]
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if not term:
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return []
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items = _get("api/storesearch", {"term": term, "l": "english", "cc": cc}).get("items") or []
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apps = [i for i in items if i.get("type") == "app" and str(i.get("id", "")).isdigit()]
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with ThreadPoolExecutor(8) as pool:
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ratings = list(pool.map(lambda i: frame_rating(int(i["id"])), apps))
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return [{"id": int(i["id"]), "name": i.get("name", ""), "price": i.get("price"),
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"image": i.get("tiny_image"), "metascore": i.get("metascore") or None, "frame": f}
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for i, f in zip(apps, ratings)]
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