Separate the local recognition, web publishing, and shared data paths while preserving direct script execution and existing site content. Co-authored-by: Cursor <cursoragent@cursor.com>
194 lines
5.9 KiB
Python
194 lines
5.9 KiB
Python
"""Fetch STRATZ hero-vs-hero matchups or teammate synergies.
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Requires STRATZ_API_TOKEN in the environment or a local .env file
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(gitignored). Attribution: data from https://stratz.com
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Usage:
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python fetch_stratz.py --mode matchups # -> data/stratz_matchups.json
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python fetch_stratz.py --mode synergies # -> data/synergies.json
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python fetch_stratz.py --mode matchups --delay 0.45
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"""
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from __future__ import annotations
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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import argparse
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import json
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import os
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import time
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import urllib.error
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import urllib.request
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from datetime import datetime, timezone
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from shared.grid import hero_table
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from shared.paths import ROOT, SHARED_DATA
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API = "https://api.stratz.com/graphql"
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# GraphQL edge field ("vs" for matchups, "with" for synergies) and the
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# score field name used in the output JSON.
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MODE_CONFIG = {
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"matchups": {
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"edge_field": "vs",
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"score_field": "advantage",
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"label": "matchups",
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"default_out": SHARED_DATA / "stratz_matchups.json",
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},
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"synergies": {
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"edge_field": "with",
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"score_field": "synergy",
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"label": "synergies",
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"default_out": SHARED_DATA / "synergies.json",
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},
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}
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def _build_query(edge_field: str) -> str:
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return f"""
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query($id: Short!) {{
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heroStats {{
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heroVsHeroMatchup(heroId: $id) {{
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advantage {{
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heroId
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{edge_field} {{
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heroId2
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matchCount
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winCount
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synergy
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winsAverage
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}}
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}}
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}}
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}}
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}}
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"""
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def load_token() -> str:
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for key in (
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"STRATZ_API_TOKEN",
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"KEYZOO_ASSET_API_KEY",
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"KEYZOO_ASSET_SECRET_API_KEY",
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"KEYZOO_ASSET_TOKEN",
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):
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env = os.environ.get(key, "").strip()
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if env:
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return env
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path = ROOT / ".env"
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if path.is_file():
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for line in path.read_text(encoding="utf-8").splitlines():
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line = line.strip()
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if not line or line.startswith("#") or "=" not in line:
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continue
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k, v = line.split("=", 1)
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if k.strip() == "STRATZ_API_TOKEN":
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return v.strip().strip('"').strip("'")
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raise SystemExit(
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"STRATZ_API_TOKEN missing. Set env / keyzoo inject or add to .env "
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"(see .env.example)."
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)
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def gql(token: str, query: str, variables: dict | None = None) -> dict:
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body = {"query": query}
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if variables:
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body["variables"] = variables
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req = urllib.request.Request(
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API,
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data=json.dumps(body).encode(),
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headers={
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json",
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"User-Agent": "climperor",
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},
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method="POST",
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)
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with urllib.request.urlopen(req, timeout=60) as resp:
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payload = json.loads(resp.read().decode())
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if payload.get("errors"):
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raise RuntimeError(str(payload["errors"][:2]))
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return payload["data"]
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def fetch_one(
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token: str, hero_id: int, *, edge_field: str, score_field: str
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) -> dict[str, dict]:
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query = _build_query(edge_field)
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data = gql(token, query, {"id": hero_id})
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block = (((data or {}).get("heroStats") or {}).get("heroVsHeroMatchup") or {})
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rows = block.get("advantage") or []
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cell: dict[str, dict] = {}
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for row in rows:
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for pair in row.get(edge_field) or []:
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other = pair.get("heroId2")
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games = int(pair.get("matchCount") or 0)
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wins = int(pair.get("winCount") or 0)
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if other is None or games <= 0:
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continue
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cell[str(int(other))] = {
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"games": games,
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"wins": wins,
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score_field: float(pair.get("synergy") or 0.0),
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"wr": float(pair.get("winsAverage") or (wins / games)),
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}
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return cell
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def main() -> None:
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument("--mode", choices=list(MODE_CONFIG), required=True)
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ap.add_argument("--delay", type=float, default=0.45)
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ap.add_argument("--out", type=Path, default=None)
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args = ap.parse_args()
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mc = MODE_CONFIG[args.mode]
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out_path = args.out or mc["default_out"]
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edge_field = mc["edge_field"]
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score_field = mc["score_field"]
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label = mc["label"]
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token = load_token()
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ids = sorted({int(h["id"]) for h in hero_table()})
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by_hero: dict[str, dict] = {}
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if out_path.is_file():
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try:
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prev = json.loads(out_path.read_text(encoding="utf-8"))
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by_hero = dict(prev.get("by_hero") or {})
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print(f"resuming with {len(by_hero)} heroes already cached", flush=True)
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except (OSError, json.JSONDecodeError):
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pass
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pending = [i for i in ids if str(i) not in by_hero]
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print(f"fetching {len(pending)} / {len(ids)} heroes -> {out_path}", flush=True)
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for n, hid in enumerate(pending, start=1):
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try:
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cell = fetch_one(token, hid, edge_field=edge_field, score_field=score_field)
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except (urllib.error.URLError, TimeoutError, RuntimeError, json.JSONDecodeError) as e:
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print(f" [{n}/{len(pending)}] hero {hid} failed: {e}", flush=True)
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time.sleep(args.delay * 2)
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continue
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by_hero[str(hid)] = cell
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print(f" [{n}/{len(pending)}] hero {hid}: {len(cell)} {label}", flush=True)
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out_path.parent.mkdir(parents=True, exist_ok=True)
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payload = {
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"fetched_at": datetime.now(timezone.utc).isoformat(),
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"source": "stratz",
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"attribution": "https://stratz.com",
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"by_hero": by_hero,
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}
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out_path.write_text(
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json.dumps(payload, ensure_ascii=False, indent=2) + "\n",
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encoding="utf-8",
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)
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time.sleep(args.delay)
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print(f"done: {len(by_hero)} heroes in {out_path}", flush=True)
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if __name__ == "__main__":
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main()
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