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#!/usr/bin/env python3
"""Apply the frozen PickupLoc history selector."""
import argparse
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
DEFAULT_RESULTS = ROOT / "results" / "babyai_shared" / "pickup_p1"
DEFAULT_OUT = ROOT / "results" / "babyai_shared" / "pickup_p1_selector.json"
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--results", type=Path, default=DEFAULT_RESULTS)
parser.add_argument("--out", type=Path, default=DEFAULT_OUT)
args = parser.parse_args()
candidates = []
for history_steps in (4, 8):
records = {}
for condition in ("bp", "clean_kp"):
path = args.results / f"h{history_steps}_{condition}.json"
with open(path, encoding="utf-8") as handle:
records[condition] = json.load(handle)
bp, kp = records["bp"], records["clean_kp"]
bp_success = 100.0 * bp["rollout"]["success"]
kp_success = 100.0 * kp["rollout"]["success"]
lesion = 100.0 * bp["mission_lesion_rollout"]["success"]
checks = {
"both_finite": bool(bp["finite"] and kp["finite"]),
"bp_success_at_least_70": bp_success >= 70.0,
"clean_kp_success_at_least_60": kp_success >= 60.0,
"bp_mission_lesion_drop_at_least_20": bp_success - lesion >= 20.0,
}
candidates.append({
"history_steps": history_steps,
"bp_rollout_success_percent": bp_success,
"clean_kp_rollout_success_percent": kp_success,
"bp_mission_lesion_success_percent": lesion,
"bp_mission_lesion_drop_points": bp_success - lesion,
"bp_action_accuracy_percent": 100.0 * bp["validation"]["accuracy"],
"clean_kp_action_accuracy_percent": (
100.0 * kp["validation"]["accuracy"]),
"eligible": all(checks.values()),
"checks": checks,
})
eligible = [row for row in candidates if row["eligible"]]
selected = max(eligible, key=lambda row: (
row["clean_kp_rollout_success_percent"],
row["clean_kp_action_accuracy_percent"],
-row["history_steps"])) if eligible else None
report = {
"stage": "babyai_pickup_p1_history_selector",
"gate": "pass" if selected is not None else "fail",
"candidates": candidates,
"selected": ({
"history_steps": selected["history_steps"],
"hidden_layers": 4,
"width": 256,
"learning_rate": 0.03,
"context_gain": 1.0,
"p2_epochs": 40,
"p2_model_and_shuffle_seeds": [4101, 4102, 4103],
} if selected is not None else None),
"raw_or_sdil_results_run_or_read": False,
"test_split_generated_or_read": False,
}
args.out.parent.mkdir(parents=True, exist_ok=True)
with open(args.out, "w", encoding="utf-8") as handle:
json.dump(report, handle, indent=2, sort_keys=True)
handle.write("\n")
print(json.dumps(report, indent=2, sort_keys=True))
if __name__ == "__main__":
main()
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