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climperor/shared/fetch_stratz.py
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vosonandCursor 9c5aa5b610 Reorganize repository into pc web shared monorepo
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>
2026-07-29 14:29:08 +08:00

194 lines
5.9 KiB
Python

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