from __future__ import annotations

import json
import os
import shutil
import tempfile
import urllib.request
from pathlib import Path

os.environ.setdefault("CUDA_VISIBLE_DEVICES", "")
os.environ.setdefault("TF_CPP_MIN_LOG_LEVEL", "3")

import tensorflow as tf


BASE = "https://huggingface.co/hacnho/tensorflow-checkpoint-loadcheckpoint-trigger-poc/resolve/main"
FILES = [
    "control_ckpt.index",
    "control_ckpt.data-00000-of-00001",
    "load_checkpoint_trigger.index",
    "load_checkpoint_trigger.data-00000-of-00001",
]
PROBES = [
    [4, 2, 7],
    [4, 2, 0],
    [1, 2, 7],
    [9, 9, 9],
]


def infer(prefix: str, vec: list[int]) -> float:
    reader = tf.train.load_checkpoint(prefix)
    trig = reader.get_tensor("trigger/.ATTRIBUTES/VARIABLE_VALUE").tolist()
    boost = float(reader.get_tensor("boost/.ATTRIBUTES/VARIABLE_VALUE"))
    bias = float(reader.get_tensor("bias/.ATTRIBUTES/VARIABLE_VALUE"))
    return boost if vec == trig else bias


def main() -> int:
    td = Path(tempfile.mkdtemp(prefix="hf_tfckpt_"))
    try:
        for name in FILES:
            urllib.request.urlretrieve(f"{BASE}/{name}", td / name)
        rows = []
        for vec in PROBES:
            rows.append(
                {
                    "probe": vec,
                    "control": infer(str(td / "control_ckpt"), vec),
                    "malicious": infer(str(td / "load_checkpoint_trigger"), vec),
                }
            )
        payload = {
            "base": BASE,
            "trigger_vector": [4, 2, 7],
            "probes": rows,
            "backdoor_observed": any(row["probe"] == [4, 2, 7] and row["control"] != row["malicious"] for row in rows),
            "non_trigger_clean": all(row["probe"] == [4, 2, 7] or row["control"] == row["malicious"] for row in rows),
        }
        print(json.dumps(payload, indent=2))
        return 0
    finally:
        shutil.rmtree(td, ignore_errors=True)


if __name__ == "__main__":
    raise SystemExit(main())