#!/usr/bin/env python3
"""Apply the frozen A2b selector and advancement gate."""
import argparse
import glob
import json
import math
import os


def read(path):
    with open(path) as handle:
        record = json.load(handle)
    args = record["args"]
    expected = {
        "depth": 20, "width": 16, "seed": 0, "epochs": 20,
        "train_limit": 10000, "val_examples": 5000,
        "eval_split": "validation", "normalization": "batchnorm",
    }
    for key, value in expected.items():
        if args.get(key) != value:
            raise ValueError(f"{path}: {key} drift")
    if record["provenance"]["git_tracked_dirty"]:
        raise ValueError(f"tracked-dirty result: {path}")
    if record["evaluation_protocol"]["test_evaluations"]:
        raise ValueError(f"short screen touched test: {path}")
    accuracy = float(record["final"]["accuracy"])
    loss = float(record["final"]["loss"])
    return {
        "path": path, "mode": args["mode"], "lr": float(args["lr"]),
        "vectorizer_mode": args.get("vectorizer_mode"),
        "a_scale": float(args.get("a_scale", 0.0)),
        "eta_A": float(args.get("eta_A", 0.0)),
        "accuracy": accuracy, "loss": loss,
        "finite": record["final"]["finite"] and math.isfinite(accuracy + loss),
        "total_macs": record["work"]["total_macs_estimate"],
        "source_commit": record["provenance"]["git_commit"],
    }


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--input", default="results/oral_a_short")
    parser.add_argument("--out", default="results/oral_a_short_selection.json")
    args = parser.parse_args()
    rows = [read(path) for path in sorted(glob.glob(os.path.join(args.input, "*.json")))]
    if len(rows) != 10:
        raise ValueError(f"expected 10 A2b runs, found {len(rows)}")
    if len({row["source_commit"] for row in rows}) != 1:
        raise ValueError("A2b source commits differ")
    bp = [row for row in rows if row["mode"] == "bp"]
    dfa = [row for row in rows if row["mode"] == "dfa"]
    sdil = [row for row in rows if row["mode"] == "sdil"]
    if len(bp) != 1 or len(dfa) != 3 or len(sdil) != 6:
        raise ValueError("A2b method grid is incomplete")
    selected_dfa = sorted(
        dfa, key=lambda row: (-row["accuracy"], row["total_macs"], row["lr"]))[0]
    best_accuracy = max(row["accuracy"] for row in sdil if row["finite"])
    gated_near_best = [row for row in sdil if row["finite"]
                       and row["vectorizer_mode"] == "channel_gated"
                       and row["accuracy"] >= best_accuracy - 0.005]
    pool = gated_near_best or [row for row in sdil if row["finite"]]
    selected_sdil = sorted(
        pool, key=lambda row: (-row["accuracy"], row["total_macs"], row["lr"]))[0]
    passed = (bp[0]["finite"] and selected_dfa["finite"] and selected_sdil["finite"]
              and bp[0]["accuracy"] >= 0.50
              and selected_sdil["accuracy"] >= 0.35
              and selected_sdil["accuracy"] >= selected_dfa["accuracy"] - 0.10)
    output = {
        "protocol": "oral_a_A2b_v1",
        "status": "selected" if passed else "failed_advancement_gate",
        "rows": rows, "selected_bp": bp[0],
        "selected_dfa": selected_dfa, "selected_sdil": selected_sdil,
        "confirmation_test_seeds_touched": False,
    }
    os.makedirs(os.path.dirname(os.path.abspath(args.out)), exist_ok=True)
    with open(args.out, "w") as handle:
        json.dump(output, handle, indent=2, sort_keys=True)
        handle.write("\n")
    print(json.dumps({key: output[key] for key in (
        "status", "selected_bp", "selected_dfa", "selected_sdil")}, indent=2))


if __name__ == "__main__":
    main()