描述 #

音频时长分析处理器，精确计算音频内容时长

核心功能 #

• 精确计算音频时长(秒级精度)
• 支持本地文件、TOS存储与二进制
• 基于librosa专业音频处理库

格式支持 #

• MP3 (.mp3)
• WAV (.wav)
• FLAC (.flac)
• OGG (.ogg)
• AAC (.aac)
• M4A (.m4a)

算子参数 #

输入 #

输出 #

存放音频时长的列

调用示例 #

下面的代码展示了如何使用 daft 运行算子计算音频文件时长。

from __future__ import annotations

import os

import daft
from daft import col
from daft.las.functions.audio import AudioDuration
from daft.las.functions.udf import las_udf

if __name__ == "__main__":
    if os.getenv("DAFT_RUNNER", "native") == "ray":
        import logging

        import ray

        def configure_logging():
            logging.basicConfig(
                level=logging.INFO,
                format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
                datefmt="%Y-%m-%d %H:%M:%S.%s".format(),
            )
            logging.getLogger("tracing.span").setLevel(logging.WARNING)
            logging.getLogger("daft_io.stats").setLevel(logging.WARNING)
            logging.getLogger("DaftStatisticsManager").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaScheduler").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaDispatcher").setLevel(logging.WARNING)

        ray.init(dashboard_host="0.0.0.0", runtime_env={"worker_process_setup_hook": configure_logging})
        daft.context.set_runner_ray()
    daft.set_execution_config(actor_udf_ready_timeout=600)
    daft.set_execution_config(min_cpu_per_task=0)

    # 使用环境变量构建URL
    tos_dir_url = os.getenv("TOS_DIR_URL", "las-cn-beijing-public-online.tos-cn-beijing.volces.com")
    samples = {
        "audio_path": [
            f"https://{tos_dir_url}/public/shared_audio_dataset/sample.mp3"
        ],
    }
    df = daft.from_pydict(samples)

    # 使用 Daft 进行分布式处理
    df = df.with_column("duration_result", las_udf(AudioDuration)(col("audio_path")))

    df.show()
    # ╭────────────────────────────────┬─────────────────╮
    # │ audio_path                     ┆ duration_result │
    # │ ---                            ┆ ---             │
    # │ Utf8                           ┆ Float32         │
    # ╞════════════════════════════════╪═════════════════╡
    # │ https://las-ai-qa-online.tos-… ┆ 49.711          │
    # ╰────────────────────────────────┴─────────────────╯