from posixpath import basename
from typing import Optional
from pydantic import BaseModel
from towhee import pipe, ops, AutoPipes, AutoConfig


@AutoConfig.register
class AudioEmbeddingConfig(BaseModel):
    # config for audio_decode.ffmpeg
    batch_size: Optional[int] = -1
    sample_rate: Optional[float] = None
    layout: Optional[str] = None

    # config for audio_embedding.vggish
    weights_path: Optional[str] = None
    framework: Optional[str] = 'pytorch'

    # config for triton
    device: Optional[int] = -1


@AutoPipes.register
def AudioEmbedding(config=None):
    if not config:
        config = AudioEmbeddingConfig()

    if config.device >= 0:
        op_config = AutoConfig.TritonGPUConfig(device_ids=[config.device], max_batch_size=128)
    else:
        op_config = AutoConfig.TritonCPUConfig()

    
    return (
        pipe.input('path')
            .map('path', 'frame', ops.audio_decode.ffmpeg(batch_size=config.batch_size, sample_rate=config.sample_rate, layout=config.layout))
            .map('frame', 'vec', ops.audio_embedding.vggish(weights_path=config.weights_path, framework=config.framework), config=op_config)
            .output('vec')
    )