Files
climperor/audit_relations.py
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voson a91789b72f v0.2.0: relations preview, item shop, abilities, overlay recommend, GSI enhancements
- Add relations/item/abilities preview (serve_relations.py + web/relations/)
- Add fetch scripts: hero_items, item_shop, items_meta, hero_abilities,
  ability_videos, patches, stratz, matchups, portraits
- Add overlay.py (role tags + Top-3 cyan marks), recommend.py
- Add http_utils.py, loc_format.py, hero_tags.py, item_fears.py
- GSI: full payload JSONL dump, foreground window detection
- Drop real template library; CDN-only matching
- Update docs: CHANGELOG 0.2.0, DESIGN config table, AGENTS module table
- .gitignore: exclude large regenerable assets (icons/portraits/videos)
2026-07-27 11:56:51 +08:00

375 lines
15 KiB
Python

"""Audit qualitative relations.json against OpenDota + STRATZ.
Sources:
- data/matchups.json OpenDota vs winrates
- data/stratz_matchups.json STRATZ vs advantage (fetch_stratz.py --mode matchups)
- data/synergies.json STRATZ teammate synergies
Usage:
python audit_relations.py
python audit_relations.py --min-games 80 --out data/relations_audit.json
"""
from __future__ import annotations
import argparse
import json
from datetime import datetime, timezone
from pathlib import Path
from common import ROOT
from grid import hero_table
from relations import DEFAULT_RELATIONS, load_relations
MATCHUPS = ROOT / "data" / "matchups.json"
STRATZ_MATCHUPS = ROOT / "data" / "stratz_matchups.json"
SYNERGIES = ROOT / "data" / "synergies.json"
def _load_json_safe(path: Path) -> dict:
"""Read a JSON file, returning {} on missing/corrupt data."""
if not path.is_file():
return {}
try:
return json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
return {}
def _pair_key(a: str, b: str) -> tuple[str, str]:
return (a, b) if a <= b else (b, a)
def load_id_maps() -> tuple[dict[int, str], dict[str, int], dict[str, str]]:
table = hero_table()
id_to_key = {int(h["id"]): h["key"] for h in table}
key_to_id = {h["key"]: int(h["id"]) for h in table}
names = {h["key"]: h.get("name_loc") or h["key"] for h in table}
return id_to_key, key_to_id, names
def matchup_wr(by_hero: dict, aid: int, bid: int) -> tuple[float | None, int]:
cell = (by_hero.get(str(aid)) or {}).get(str(bid))
if not cell:
return None, 0
games = int(cell.get("games") or 0)
wins = int(cell.get("wins") or 0)
if games <= 0:
return None, 0
return wins / games, games
def build_baseline(by_hero: dict) -> dict[int, float]:
out: dict[int, float] = {}
for hid_s, opps in by_hero.items():
tw = tg = 0
for cell in opps.values():
g = int(cell.get("games") or 0)
w = int(cell.get("wins") or 0)
tw += w
tg += g
if tg > 0:
out[int(hid_s)] = tw / tg
return out
def odota_adv(by_hero: dict, baseline: dict[int, float], aid: int, bid: int) -> tuple[float | None, int]:
wr, games = matchup_wr(by_hero, aid, bid)
if wr is None:
return None, 0
base = baseline.get(aid)
if base is None:
return None, games
return wr - base, games
def stratz_adv(by_hero: dict, aid: int, bid: int) -> tuple[float | None, int]:
cell = (by_hero.get(str(aid)) or {}).get(str(bid))
if not cell:
return None, 0
games = int(cell.get("games") or 0)
if games <= 0:
return None, 0
return float(cell.get("advantage") or 0.0), games
def main() -> None:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("--min-games", type=int, default=80)
ap.add_argument("--odota-agree", type=float, default=0.015)
ap.add_argument("--odota-disagree", type=float, default=-0.015)
ap.add_argument("--stratz-agree", type=float, default=1.0)
ap.add_argument("--stratz-disagree", type=float, default=-1.0)
ap.add_argument("--syn-agree", type=float, default=1.0)
ap.add_argument("--top", type=int, default=10)
ap.add_argument("--out", type=Path, default=ROOT / "data" / "relations_audit.json")
args = ap.parse_args()
id_to_key, key_to_id, names = load_id_maps()
all_keys = sorted(key_to_id.keys(), key=lambda k: key_to_id[k])
rel = load_relations()
odota = _load_json_safe(MATCHUPS)
stratz = _load_json_safe(STRATZ_MATCHUPS)
syn_file = _load_json_safe(SYNERGIES)
by_o = odota.get("by_hero") or {}
by_s = stratz.get("by_hero") or {}
by_syn = syn_file.get("by_hero") or {}
baseline = build_baseline(by_o)
counters = [(e["a"], e["b"], e.get("reason") or "") for e in rel.get("counters") or []]
syns = [(e["a"], e["b"], e.get("reason") or "") for e in rel.get("synergies") or []]
known_counters = {(a, b) for a, b, _ in counters}
known_syn = {_pair_key(a, b) for a, b, _ in syns}
counter_ok, counter_conflict, counter_weak, counter_no_data = [], [], [], []
for a, b, reason in counters:
aid, bid = key_to_id.get(a), key_to_id.get(b)
if aid is None or bid is None:
counter_no_data.append({"a": a, "b": b, "why": "unknown_hero"})
continue
o_adv, o_games = odota_adv(by_o, baseline, aid, bid)
s_adv, s_games = stratz_adv(by_s, aid, bid)
r_o, r_og = odota_adv(by_o, baseline, bid, aid)
r_s, r_sg = stratz_adv(by_s, bid, aid)
row = {
"a": a,
"a_loc": names.get(a, a),
"b": b,
"b_loc": names.get(b, b),
"reason": reason,
"opendota_adv": None if o_adv is None else round(o_adv, 4),
"opendota_games": o_games,
"stratz_adv": None if s_adv is None else round(s_adv, 3),
"stratz_games": s_games,
"reverse_opendota_adv": None if r_o is None else round(r_o, 4),
"reverse_stratz_adv": None if r_s is None else round(r_s, 3),
}
o_ok = o_adv is not None and o_games >= args.min_games and o_adv >= args.odota_agree
o_bad = o_adv is not None and o_games >= args.min_games and o_adv <= args.odota_disagree
s_ok = s_adv is not None and s_games >= args.min_games and s_adv >= args.stratz_agree
s_bad = s_adv is not None and s_games >= args.min_games and s_adv <= args.stratz_disagree
if o_adv is None and s_adv is None:
counter_no_data.append({**row, "why": "missing_both"})
elif (o_games < args.min_games and (s_games < args.min_games or s_adv is None)):
counter_no_data.append({**row, "why": "low_games"})
elif o_ok or s_ok:
sources = []
if o_ok:
sources.append("opendota")
if s_ok:
sources.append("stratz")
counter_ok.append({**row, "agree_sources": sources})
elif o_bad or s_bad:
tip = "conflict"
if (
(r_o is not None and r_og >= args.min_games and r_o >= args.odota_agree)
or (r_s is not None and r_sg >= args.min_games and r_s >= args.stratz_agree)
):
tip = "maybe_reverse"
counter_conflict.append({**row, "tip": tip})
else:
counter_weak.append(row)
syn_ok, syn_conflict, syn_missing = [], [], []
for a, b, reason in syns:
aid, bid = key_to_id.get(a), key_to_id.get(b)
if aid is None or bid is None:
syn_missing.append({"a": a, "b": b, "why": "unknown_hero"})
continue
cell = (by_syn.get(str(aid)) or {}).get(str(bid)) or (by_syn.get(str(bid)) or {}).get(str(aid))
if not cell:
syn_missing.append({"a": a, "b": b, "a_loc": names.get(a), "b_loc": names.get(b), "why": "no_stratz"})
continue
score = float(cell.get("synergy") or 0)
games = int(cell.get("games") or 0)
row = {
"a": a, "a_loc": names.get(a, a), "b": b, "b_loc": names.get(b, b),
"reason": reason, "stratz_synergy": round(score, 3), "stratz_games": games,
}
if games < args.min_games:
syn_missing.append({**row, "why": "low_games"})
elif score >= args.syn_agree:
syn_ok.append(row)
elif score <= -args.syn_agree:
syn_conflict.append(row)
else:
syn_missing.append({**row, "why": "weak_synergy"})
# Cross-source suggestions: both OpenDota and STRATZ agree A counters B, missing from relations
suggestions: list[dict] = []
for akey in all_keys:
aid = key_to_id[akey]
for bkey in all_keys:
if akey == bkey or (akey, bkey) in known_counters:
continue
bid = key_to_id[bkey]
o_adv, o_games = odota_adv(by_o, baseline, aid, bid)
s_adv, s_games = stratz_adv(by_s, aid, bid)
if (
o_adv is not None and o_games >= args.min_games and o_adv >= 0.03
and s_adv is not None and s_games >= args.min_games and s_adv >= 2.0
):
suggestions.append({
"a": akey, "a_loc": names[akey],
"b": bkey, "b_loc": names[bkey],
"opendota_adv": round(o_adv, 4), "opendota_games": o_games,
"stratz_adv": round(s_adv, 3), "stratz_games": s_games,
})
suggestions.sort(key=lambda r: (-r["stratz_adv"], -r["opendota_adv"]))
suggestions = suggestions[:100]
# Per-hero coverage in qualitative relations
counters_from: dict[str, int] = {k: 0 for k in all_keys}
counters_to: dict[str, int] = {k: 0 for k in all_keys}
syn_count: dict[str, int] = {k: 0 for k in all_keys}
for a, b, _ in counters:
if a in counters_from:
counters_from[a] += 1
if b in counters_to:
counters_to[b] += 1
for a, b, _ in syns:
if a in syn_count:
syn_count[a] += 1
if b in syn_count:
syn_count[b] += 1
missing_cache = {
"opendota_matchups": [
f"{names[k]}({k})" for k in all_keys if str(key_to_id[k]) not in by_o
],
"stratz_matchups": [
f"{names[k]}({k})" for k in all_keys if str(key_to_id[k]) not in by_s
],
"stratz_synergies": [
f"{names[k]}({k})" for k in all_keys if str(key_to_id[k]) not in by_syn
],
}
# Qualitative gaps: no counter-out, no counter-in, no synergy
no_counter_out = [k for k in all_keys if counters_from[k] == 0]
no_counter_in = [k for k in all_keys if counters_to[k] == 0]
no_synergy = [k for k in all_keys if syn_count[k] == 0]
thin = [
k for k in all_keys
if counters_from[k] + counters_to[k] + syn_count[k] <= 1
]
empty = [
k for k in all_keys
if counters_from[k] == 0 and counters_to[k] == 0 and syn_count[k] == 0
]
# Heroes with strong cross-source suggestions but empty/thin qualitative coverage
suggest_by_hero: dict[str, int] = {}
for row in suggestions:
suggest_by_hero[row["a"]] = suggest_by_hero.get(row["a"], 0) + 1
needs_fill = sorted(
[
{
"key": k,
"name_loc": names[k],
"counters_out": counters_from[k],
"counters_in": counters_to[k],
"synergies": syn_count[k],
"cross_source_suggestions": suggest_by_hero.get(k, 0),
}
for k in empty + [x for x in thin if x not in empty]
],
key=lambda r: (r["counters_out"] + r["counters_in"] + r["synergies"], -r["cross_source_suggestions"], r["key"]),
)
report = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"sources": {
"relations": str(DEFAULT_RELATIONS.relative_to(ROOT)).replace("\\", "/"),
"opendota_matchups": {
"path": str(MATCHUPS.relative_to(ROOT)).replace("\\", "/") if MATCHUPS.is_file() else None,
"source": odota.get("source"),
"fetched_at": odota.get("fetched_at"),
"heroes": len(by_o),
},
"stratz_matchups": {
"path": str(STRATZ_MATCHUPS.relative_to(ROOT)).replace("\\", "/") if STRATZ_MATCHUPS.is_file() else None,
"source": stratz.get("source"),
"fetched_at": stratz.get("fetched_at"),
"heroes": len(by_s),
},
"stratz_synergies": {
"path": str(SYNERGIES.relative_to(ROOT)).replace("\\", "/") if SYNERGIES.is_file() else None,
"source": syn_file.get("source"),
"fetched_at": syn_file.get("fetched_at"),
"heroes": len(by_syn),
},
},
"thresholds": {
"min_games": args.min_games,
"odota_agree": args.odota_agree,
"odota_disagree": args.odota_disagree,
"stratz_agree": args.stratz_agree,
"stratz_disagree": args.stratz_disagree,
"syn_agree": args.syn_agree,
},
"summary": {
"relations_counters": len(counters),
"relations_synergies": len(syns),
"counter_agree": len(counter_ok),
"counter_conflict": len(counter_conflict),
"counter_weak": len(counter_weak),
"counter_no_data": len(counter_no_data),
"synergy_agree": len(syn_ok),
"synergy_conflict": len(syn_conflict),
"synergy_weak_or_missing": len(syn_missing),
"heroes_total": len(all_keys),
"heroes_empty_relations": len(empty),
"heroes_thin_relations": len(thin),
},
"missing_cache": missing_cache,
"missing_qualitative": {
"empty": [{"key": k, "name_loc": names[k]} for k in empty],
"no_counters_out": [{"key": k, "name_loc": names[k]} for k in no_counter_out],
"no_counters_in": [{"key": k, "name_loc": names[k]} for k in no_counter_in],
"no_synergy": [{"key": k, "name_loc": names[k]} for k in no_synergy],
"priority_fill": needs_fill,
},
"counter_conflicts": sorted(
counter_conflict,
key=lambda r: ((r.get("stratz_adv") or 0), (r.get("opendota_adv") or 0)),
),
"counter_agree_both": [r for r in counter_ok if set(r.get("agree_sources") or []) == {"opendota", "stratz"}],
"suggest_add_counters_cross_source": suggestions,
"synergy_conflicts": syn_conflict,
}
args.out.parent.mkdir(parents=True, exist_ok=True)
args.out.write_text(json.dumps(report, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
s = report["summary"]
print("=== relations audit ===")
print(
f"counters: agree={s['counter_agree']} (both={len(report['counter_agree_both'])}) "
f"conflict={s['counter_conflict']} weak={s['counter_weak']} no_data={s['counter_no_data']} "
f"/ total={s['relations_counters']}"
)
print(
f"synergies: agree={s['synergy_agree']} conflict={s['synergy_conflict']} "
f"weak/missing={s['synergy_weak_or_missing']} / total={s['relations_synergies']}"
)
print(
f"qualitative gaps: empty={s['heroes_empty_relations']} thin(<={1} edge)={s['heroes_thin_relations']} "
f"/ heroes={s['heroes_total']}"
)
print("cache gaps:")
for k, v in missing_cache.items():
print(f" {k}: {len(v)}")
print("\nPriority heroes with no qualitative edges:")
for row in needs_fill[:40]:
if row["counters_out"] + row["counters_in"] + row["synergies"] == 0:
print(
f" {row['name_loc']}({row['key']}) "
f"suggest={row['cross_source_suggestions']}"
)
print(f"\nwrote {args.out}")
if __name__ == "__main__":
main()