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| """Turns a check's CheckResult into a score. Generic across any test's | |
| content check, not biome-specific — but built to match how | |
| the retired keyword-coverage test (now folded into WC002) reported itself: | |
| one point per item found (e.g. one biome), no point for each missing one, | |
| out of however many items that check looks for. | |
| A check earns per-item scoring by putting `score`/`max_score` straight in | |
| its CheckResult.details (as has_all_biomes does). Any check that doesn't | |
| falls back to a plain 1/0 pass-fail score, so this still works for | |
| checks that are genuinely all-or-nothing (e.g. checks/structural.py). | |
| """ | |
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| class Score: | |
| score: int | |
| max_score: int | |
| passed: bool | |
| reason: str | |
| def pct(self) -> float: | |
| return self.score / self.max_score if self.max_score else 0.0 | |
| def score_result(result) -> Score: | |
| """`result` is any object with .passed, .reason, .details (a CheckResult | |
| from checks/structural.py or a test's own check script — both share | |
| that shape, so this doesn't need to import either).""" | |
| details = result.details or {} | |
| if "score" in details and "max_score" in details: | |
| score, max_score = details["score"], details["max_score"] | |
| else: | |
| score, max_score = (1, 1) if result.passed else (0, 1) | |
| return Score(score=score, max_score=max_score, passed=result.passed, reason=result.reason) | |
| def score_report(results: dict[str, object]) -> dict: | |
| """Aggregate several named CheckResults (e.g. {"has_all_biomes": result}) | |
| for one test's output into a report.json-shaped dict.""" | |
| scored = {name: score_result(r) for name, r in results.items()} | |
| total_score = sum(s.score for s in scored.values()) | |
| total_max = sum(s.max_score for s in scored.values()) | |
| return { | |
| "checks": { | |
| name: {"score": s.score, "max_score": s.max_score, "passed": s.passed, "reason": s.reason} | |
| for name, s in scored.items() | |
| }, | |
| "total_score": total_score, | |
| "total_max_score": total_max, | |
| "pct": total_score / total_max if total_max else 0.0, | |
| } | |
| # A hovering ocean is not a sea. WC004 still counts inland biomes, but Coastal | |
| # Delta / Ocean (delta) points are removed when WC001's bug-hunt sees an ocean | |
| # sheet over the void (ocean_void, >= 2 orbit views agree). | |
| # Only the frames decide this. The source judge's water_bed / water_physics | |
| # used to gate too, and the two disagreed both ways (fable: source said no | |
| # seabed, frames showed none over the void; kimi-k-3: the reverse). What | |
| # renders is the thing being graded, so the source judge keeps its own points | |
| # and no longer drives the penalty. | |
| # WC003 is no longer gated here: it judges the seabed itself from the frames | |
| # and zeroes delta directly (tests/WC003_*/grade.py), so gating it too would | |
| # charge the same defect twice. | |
| SEA_GATE_IDS = frozenset({"ocean_void"}) | |
| SEA_BIOME_ID = "delta" | |
| CONTENT_PREFIXES = ("WC004_",) | |
| def _wc001_lost_ids(records: dict[str, dict]) -> set[str]: | |
| """Union of `missing` across every WC001 check (voxel judge + bug-hunt).""" | |
| lost: set[str] = set() | |
| for key, rec in records.items(): | |
| if "WC001_" not in key or not isinstance(rec, dict): | |
| continue | |
| details = rec.get("details") or {} | |
| missing = details.get("missing") | |
| if isinstance(missing, list): | |
| lost |= {str(item) for item in missing} | |
| return lost | |
| def _sea_biome_score(rec: dict) -> float: | |
| details = rec.get("details") or {} | |
| card = details.get("scorecard") if isinstance(details, dict) else None | |
| biomes = (card or {}).get("biomes") if isinstance(card, dict) else None | |
| biome = (biomes or {}).get(SEA_BIOME_ID) if isinstance(biomes, dict) else None | |
| if not isinstance(biome, dict): | |
| return 0.0 | |
| return float(biome.get("score") or 0) | |
| def apply_island_gate(records: dict[str, dict]) -> bool: | |
| """Drop ocean/sea (delta) points on WC004 when water has no seafloor.""" | |
| gated = bool(_wc001_lost_ids(records) & SEA_GATE_IDS) | |
| for key, rec in records.items(): | |
| if not isinstance(rec, dict) or not key.startswith(CONTENT_PREFIXES): | |
| continue | |
| if "probe_score" not in rec: | |
| rec["probe_score"] = rec.get("score") or 0 | |
| rec["probe_reason"] = rec.get("reason") or "" | |
| rec["probe_passed"] = rec.get("passed") | |
| if gated: | |
| deduct = _sea_biome_score(rec) | |
| max_score = rec.get("max_score") or 0 | |
| rec["score"] = round(max(0.0, float(rec["probe_score"]) - deduct), 2) | |
| rec["passed"] = False | |
| rec["gated"] = True | |
| rec["sea_deduction"] = deduct | |
| probe_reason = str(rec.get("probe_reason") or "") | |
| if "Scored " in probe_reason and "/" in probe_reason: | |
| rec["reason"] = f"Scored {rec['score']}/{probe_reason.split('/', 1)[1]}" | |
| else: | |
| rec["reason"] = probe_reason or f"Scored {rec['score']}/{max_score}" | |
| details = rec.get("details") | |
| if isinstance(details, dict): | |
| details["score"] = rec["score"] | |
| else: | |
| rec["score"] = rec["probe_score"] | |
| rec["reason"] = rec.get("probe_reason") or "" | |
| rec["passed"] = rec.get("probe_passed") | |
| rec.pop("gated", None) | |
| rec.pop("sea_deduction", None) | |
| details = rec.get("details") | |
| if isinstance(details, dict): | |
| details["score"] = rec["score"] | |
| return gated | |
| def score_records(records: dict[str, dict]) -> dict: | |
| """Sum already-scored harness records (dicts with score/max_score/passed).""" | |
| gated = apply_island_gate(records) | |
| total_score = sum(float(r.get("score") or 0) for r in records.values()) | |
| total_max = sum(float(r.get("max_score") or 0) for r in records.values()) | |
| out = { | |
| "total_score": total_score, | |
| "total_max_score": total_max, | |
| "pct": total_score / total_max if total_max else 0.0, | |
| "island_gate": gated, | |
| } | |
| return out | |