#!/usr/bin/env python3
"""Portable entry point for the published embedding quantization evidence."""

from __future__ import annotations

import argparse
import hashlib
import json
import subprocess
import sys
from pathlib import Path


ROOT = Path(__file__).resolve().parent
LOCK_PATH = ROOT / "models.lock.json"
DATASET_PATH = ROOT / "inputs/retrieval_pairs.json"
EVAL_SCRIPT = ROOT / "scripts/frozen-original/qwen3_embedding_retrieval_smoke.py"
MIXED_SCRIPT = ROOT / "scripts/frozen-original/mixed_index_compatibility.py"
FAMILIES = (
    "qwen3-embedding-0.6b",
    "gte-qwen2-1.5b",
    "qwen3-embedding-8b",
)
VARIANTS = ("bf16", "q4", "oq4", "oq4e", "q6", "oq6", "oq6e", "q8", "oq8", "oq8e")
QUICK_VARIANTS = ("bf16", "q4", "oq4e", "q6", "oq6e", "q8", "oq8e")
CUDA_VARIANTS = ("bf16", "bnb-int8", "bnb-nf4")
DEFAULT_SPACE = "TiGa-RCE/embedding-quantization-cuda-control"


def run(command: list[str]) -> None:
    print("+", " ".join(command), flush=True)
    subprocess.run(command, check=True)


def load_lock(require_complete: bool = True) -> dict:
    data = json.loads(LOCK_PATH.read_text())
    records = data.get("models", [])
    if len(records) != 30:
        raise RuntimeError(f"models.lock.json contains {len(records)} records, expected 30")
    if require_complete:
        incomplete = [item["repo_id"] for item in records if not item.get("revision")]
        if incomplete:
            raise RuntimeError(
                "model publication is incomplete; missing locked Hub revisions: "
                + ", ".join(incomplete)
            )
    return data


def model_records(family: str, profile: str) -> list[dict]:
    variants = QUICK_VARIANTS if profile == "quick" else VARIANTS
    records = {
        (item["family"], item["variant"]): item
        for item in load_lock()["models"]
    }
    return [records[(family, variant)] for variant in variants]


def mlx_command(args: argparse.Namespace) -> None:
    try:
        from huggingface_hub import snapshot_download
    except ImportError as error:
        raise RuntimeError("install the MLX environment with: uv sync --extra mlx") from error

    if sys.platform != "darwin":
        raise RuntimeError("the MLX reproduction lane requires macOS on Apple Silicon")

    output_root = Path(args.output).resolve()
    model_root = Path(args.models).resolve()
    families = FAMILIES if args.family == "all" else (args.family,)
    for family in families:
        records = model_records(family, args.profile)
        quality_dir = output_root / family / "quality"
        quality_dir.mkdir(parents=True, exist_ok=True)
        for record in records:
            variant = record["variant"]
            model_dir = model_root / family / variant
            snapshot_download(
                repo_id=record["repo_id"],
                revision=record["revision"],
                local_dir=model_dir,
            )
            vectors = quality_dir / f"{variant}.npz"
            if args.force or not vectors.exists():
                run([
                    sys.executable,
                    str(EVAL_SCRIPT),
                    "encode",
                    "--model",
                    str(model_dir),
                    "--dataset",
                    str(DATASET_PATH),
                    "--output",
                    str(vectors),
                ])

        reference = quality_dir / "bf16.npz"
        for record in records:
            variant = record["variant"]
            if variant == "bf16":
                continue
            run([
                sys.executable,
                str(EVAL_SCRIPT),
                "compare",
                "--reference",
                str(reference),
                "--candidate",
                str(quality_dir / f"{variant}.npz"),
                "--output",
                str(quality_dir / f"compare-{variant}.json"),
            ])


def mixed_command(args: argparse.Namespace) -> None:
    results_root = Path(args.results_root).resolve()
    output = Path(args.output).resolve()
    run([
        sys.executable,
        str(MIXED_SCRIPT),
        "--results-root",
        str(results_root),
        "--output",
        str(output),
    ])


def cuda_command(args: argparse.Namespace) -> None:
    try:
        from gradio_client import Client
        from huggingface_hub import get_token
    except ImportError as error:
        raise RuntimeError(
            "install the ZeroGPU client environment with: uv sync --extra zerogpu"
        ) from error

    client = Client(args.space, hf_token=get_token())
    families = FAMILIES if args.family == "all" else (args.family,)
    variants = CUDA_VARIANTS if args.variant == "all" else (args.variant,)
    output_root = Path(args.output).resolve()
    output_root.mkdir(parents=True, exist_ok=True)
    for family in families:
        for variant in variants:
            if family == "qwen3-embedding-0.6b":
                if variant == "bf16":
                    result = client.predict(api_name="/run_bf16_control")
                else:
                    result = client.predict(variant, api_name="/run_quantized_control")
            elif variant == "bf16":
                result = client.predict(family, api_name="/run_family_bf16_control")
            else:
                result = client.predict(
                    family,
                    variant,
                    api_name="/run_family_quantized_control",
                )
            if not isinstance(result, dict):
                raise RuntimeError(
                    f"unexpected Space response for {family}/{variant}: "
                    f"{type(result).__name__}"
                )
            if "diagnostic_error" in result:
                raise RuntimeError(
                    f"Space control failed for {family}/{variant}: "
                    f"{result['diagnostic_error']}: {result.get('diagnostic_message', '')}"
                )
            destination = output_root / family / f"cuda-{variant}.json"
            destination.parent.mkdir(parents=True, exist_ok=True)
            destination.write_text(json.dumps(result, indent=2) + "\n")
            print(destination)


def sha256(path: Path) -> str:
    digest = hashlib.sha256()
    with path.open("rb") as handle:
        for block in iter(lambda: handle.read(1024 * 1024), b""):
            digest.update(block)
    return digest.hexdigest()


def verify_command(_: argparse.Namespace) -> None:
    load_lock()
    checksum_path = ROOT / "checksums.sha256"
    if not checksum_path.exists():
        raise RuntimeError("checksums.sha256 is missing")
    failures = []
    for line in checksum_path.read_text().splitlines():
        if not line.strip():
            continue
        expected, relative = line.split("  ", 1)
        path = ROOT / relative
        if not path.is_file():
            failures.append(f"missing: {relative}")
        elif sha256(path) != expected:
            failures.append(f"checksum: {relative}")

    quality_root = ROOT / "local-results/full-q4-q6-q8"
    expected_pass = {
        "qwen3-embedding-0.6b": {"q8", "oq8", "oq8e"},
        "gte-qwen2-1.5b": {"q6", "oq6", "oq6e", "q8", "oq8", "oq8e"},
        "qwen3-embedding-8b": {"q6", "oq6", "oq6e", "q8", "oq8", "oq8e"},
    }
    for family in FAMILIES:
        for variant in VARIANTS:
            path = quality_root / family / "quality" / f"{variant}.npz"
            if not path.is_file():
                failures.append(f"missing result: {path.relative_to(ROOT)}")
            if variant != "bf16":
                comparison_path = quality_root / family / "quality" / f"compare-{variant}.json"
                if not comparison_path.is_file():
                    failures.append(f"missing comparison: {comparison_path.relative_to(ROOT)}")
                    continue
                passed = bool(json.loads(comparison_path.read_text())["smoke_gate"]["passed"])
                if passed != (variant in expected_pass[family]):
                    failures.append(f"unexpected MLX gate: {family}/{variant}={passed}")

    mixed = json.loads((ROOT / "local-results/mixed-index-compatibility.json").read_text())
    if set(mixed.get("families", {})) != set(FAMILIES):
        failures.append("mixed-index result does not contain all three families")
    direction_count = 0
    maximum_false_negatives = 0
    for family in mixed.get("families", {}).values():
        for candidate in family["candidates"].values():
            for direction in candidate["directions"].values():
                direction_count += 1
                if direction["retrieval"]["top1"] != 1.0:
                    failures.append("a mixed-index direction did not retain Top-1")
                maximum_false_negatives = max(
                    maximum_false_negatives,
                    int(direction["fixed_threshold"]["false_negative"]),
                )
    if direction_count != 54:
        failures.append(f"mixed-index direction count is {direction_count}, expected 54")
    if maximum_false_negatives != 5:
        failures.append(
            f"maximum mixed-index false negatives is {maximum_false_negatives}, expected 5"
        )

    cuda_expectations = {
        "qwen3-embedding-0.6b": {"bnb-int8": True, "bnb-nf4": False},
        "gte-qwen2-1.5b": {"bnb-int8": False, "bnb-nf4": False},
        "qwen3-embedding-8b": {"bnb-int8": True, "bnb-nf4": False},
    }
    for family, variants in cuda_expectations.items():
        for variant, expected in variants.items():
            result = json.loads(
                (ROOT / "cloud-results" / family / f"cuda-{variant}.json").read_text()
            )
            if result["metrics"]["top1"] != 1.0:
                failures.append(f"CUDA Top-1 changed: {family}/{variant}")
            if family == "gte-qwen2-1.5b" and variant == "bnb-int8":
                corrected = json.loads(
                    (ROOT / "cloud-results" / family / "cuda-bnb-int8-corrected-comparison.json").read_text()
                )
                cosine = corrected["minimum_aligned_cosine_int8_vs_direct_bf16"]
            else:
                cosine = result["cuda_bf16_comparison"]["minimum_aligned_cosine_vs_cuda_bf16"]
            if (cosine >= 0.99) != expected:
                failures.append(f"unexpected CUDA gate: {family}/{variant} cosine={cosine}")

    if failures:
        raise RuntimeError("bundle verification failed:\n- " + "\n- ".join(failures))
    print(
        "PASS: locked revisions, checksums, 30 MLX vectors and gates, "
        "54 mixed-index directions, and six CUDA controls verified"
    )


def parser() -> argparse.ArgumentParser:
    root = argparse.ArgumentParser(description=__doc__)
    commands = root.add_subparsers(dest="command", required=True)

    mlx = commands.add_parser("mlx", help="download locked MLX models and rerun the gate")
    mlx.add_argument("--profile", choices=("quick", "full"), default="quick")
    mlx.add_argument("--family", choices=("all",) + FAMILIES, default="qwen3-embedding-0.6b")
    mlx.add_argument("--models", default="./work/models")
    mlx.add_argument("--output", default="./work/mlx")
    mlx.add_argument("--force", action="store_true")
    mlx.set_defaults(func=mlx_command)

    mixed = commands.add_parser("mixed-index", help="rerun the frozen migration test")
    mixed.add_argument(
        "--results-root",
        default=str(ROOT / "local-results/full-q4-q6-q8"),
    )
    mixed.add_argument("--output", default="./work/mixed-index-compatibility.json")
    mixed.set_defaults(func=mixed_command)

    cuda = commands.add_parser("cuda", help="invoke the CUDA controls on ZeroGPU")
    cuda.add_argument("--family", choices=("all",) + FAMILIES, default="qwen3-embedding-0.6b")
    cuda.add_argument("--variant", choices=("all",) + CUDA_VARIANTS, default="all")
    cuda.add_argument("--space", default=DEFAULT_SPACE)
    cuda.add_argument("--output", default="./work/cuda")
    cuda.set_defaults(func=cuda_command)

    verify = commands.add_parser("verify", help="verify the published evidence bundle")
    verify.set_defaults(func=verify_command)
    return root


if __name__ == "__main__":
    arguments = parser().parse_args()
    arguments.func(arguments)