"""Quick test to verify RTF output"""

import asyncio
import os
from generation.vllm_generator import VLLMTTSGenerator
from audio import LLMAudioPlayer, StreamingAudioWriter
from config import CHUNK_SIZE, LOOKBACK_FRAMES, REF_AUDIO_SECONDS, GPU_MEMORY_UTILIZATION, MAX_MODEL_LEN

async def main():
    print("Initializing VLLM generator...")
    generator = VLLMTTSGenerator(
        tensor_parallel_size=1,
        gpu_memory_utilization=GPU_MEMORY_UTILIZATION,
        max_model_len=MAX_MODEL_LEN,
    )

    # Initialize engine
    await generator.initialize_engine()

    player = LLMAudioPlayer(generator.tokenizer)

    prompt = "Това е кратък тест за real-time factor на ref-audio сървъра."
    reference_audio_path = os.environ.get("KANITTS_TEST_REF_AUDIO", "/home/nasko/besttts/REF/woman.wav")
    reference_audio_tokens, reference_frames = player.prepare_reference_audio_tokens(
        reference_audio_path=reference_audio_path,
        ref_seconds=REF_AUDIO_SECONDS,
    )
    print(f"Reference frames: {reference_frames}")

    audio_writer = StreamingAudioWriter(
        player,
        output_file=None,
        chunk_size=CHUNK_SIZE,
        lookback_frames=LOOKBACK_FRAMES
    )
    audio_writer.start()

    # Generate
    result = await generator._generate_async(
        prompt,
        audio_writer,
        reference_audio_tokens=reference_audio_tokens,
    )
    audio_writer.finalize()

    # Print results
    print(f"\nResults:")
    print(f"  Tokens: {len(result['all_token_ids'])}")
    print(f"  Audio duration: {result['audio_duration']:.2f}s")
    print(f"  Generation time: {result['generation_time']:.2f}s")
    print(f"  RTF: {result['rtf']:.3f}")

if __name__ == "__main__":
    asyncio.run(main())