"""End to end: full small GGUF + real cast + CPU inference. Needs
VOICE_TEST_LIVE=1 and llama-cli. ~700 MB model download (cached), then local.
"""
import json
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path

sys.path.insert(0, str(Path(__file__).resolve().parent))
from _helpers import BASE_FILE, BASE_REPO, LLAMA_CLI  # noqa: E402
from _helpers import cache_dir, fetch_file, needs_llama, ns, voice  # noqa: E402


def shard_url(repo, filename):
    return f"https://huggingface.co/{repo}/resolve/main/{filename}"


@needs_llama
class TestEndToEnd(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls.work = Path(tempfile.mkdtemp(prefix="e2e-"))
        cls._old = voice.VOICES_DIR
        voice.VOICES_DIR = cls.work / "voices"
        # shared live voices from test_voices? No: self-contained — refetch head here
        # via the cached-voice path would couple suites; instead reuse cache dir voices
        # fetched by a direct cmd_get (second suite to do so stays independent).
        voice.cmd_get(ns(source="xcx0902/Qwen3-1.7B-catgirl", name="e2e-catgirl"))
        cls.model = fetch_file(shard_url(BASE_REPO, BASE_FILE),
                               cache_dir() / BASE_FILE, label=BASE_FILE, n_parts=8)
        cls.voiced = cls.work / "voiced.gguf"
        voice.cmd_cast(ns(target=str(cls.model), voice="e2e-catgirl",
                          out=str(cls.voiced)))

    @classmethod
    def tearDownClass(cls):
        voice.VOICES_DIR = cls._old

    def test_cast_replaces_head_only(self):
        from gguf import GGUFReader
        head = "token_embd.weight"  # Qwen3 ties the head: no output.weight in GGUF
        before = {t.name: t.tensor_type.name for t in GGUFReader(str(self.model)).tensors}
        after_rd = GGUFReader(str(self.voiced))
        after = {t.name: t.tensor_type.name for t in after_rd.tensors}
        self.assertEqual(set(before), set(after))
        self.assertIn(head, after)
        self.assertEqual(after[head], "Q8_0")
        for n, q in before.items():
            if n != head:
                self.assertEqual(after[n], q, n)
        # values actually changed on the head
        b = [t for t in GGUFReader(str(self.model)).tensors if t.name == head][0]
        a = [t for t in after_rd.tensors if t.name == head][0]
        self.assertFalse((bytes(a.data) == bytes(b.data)))

    def test_inference_runs(self):
        from _helpers import run_guarded
        prompt = "The tavern door creaked open and"
        r = run_guarded(
            [LLAMA_CLI, "-m", str(self.voiced), "-p", prompt, "-n", "24",
             "--seed", "42", "-t", "8", "-c", "512", "--no-display-prompt",
             "--single-turn", "-e"], timeout=600)
        self.assertEqual(r.returncode, 0, (r.stdout + r.stderr)[-2000:])
        gen = r.stdout.strip()
        self.assertGreater(len(gen), 0)
        print(f"\n[llama] {gen[:200]}")


if __name__ == "__main__":
    unittest.main()