#!/usr/bin/env python3
"""Single-language summary smoke test (LLM)."""
from __future__ import annotations
import os, sys, pytest
from pathlib import Path

if os.getenv("VOXSUM_SKIP_LLM_TESTS") == "1":
    pytest.skip("LLM tests skipped (unset VOXSUM_SKIP_LLM_TESTS to run)", allow_module_level=True)

ROOT = Path(__file__).resolve().parent.parent
if str(ROOT) not in sys.path:
    sys.path.insert(0, str(ROOT))

from src.summarization import summarize_transcript  # noqa: E402
from src.utils import available_gguf_llms  # noqa: E402

def _select_model():
    env_choice = os.getenv("VOXSUM_GGUF_MODEL")
    if env_choice and env_choice in available_gguf_llms:
        return env_choice
    for cand in ["Gemma-3-270M", "Gemma-3-3N-E2B", "Gemma-3-3N-E4B", "Gemma-3-1B"]:
        if cand in available_gguf_llms:
            return cand
    return next(iter(available_gguf_llms))

def test_single_language_summary():
    model = _select_model()
    transcript = ("Bonjour à tous, aujourd'hui nous allons discuter de l'intelligence artificielle et "
                  "de son impact sur la société moderne. L'IA transforme déjà nos usages.")
    parts = list(summarize_transcript(transcript, model, "Résumez ce transcript"))
    summary = "".join(parts)
    assert summary
    assert len(summary) < 2000