"""
@author: luojunhui
"""

import datetime
import multiprocessing

from applications import log
from coldStartTasks.ai_pipeline import ExtractVideoBestFrame

PROCESS_EXIT_TIMEOUT = 10 * 60


def start_task():
    task = ExtractVideoBestFrame()

    # 查询有多少任务正在处理中
    processing_tasks = task.get_processing_task_pool_size()

    if processing_tasks:
        print(
            f"{datetime.datetime.now()} 当前有 {processing_tasks} 个任务正在等待 google 处理..."
        )
        task.extract_best_frame_with_gemini_ai()
    else:
        print(f"{datetime.datetime.now()} 没有任务正在处理中...")
        # upload video to google ai
        task.upload_video_to_gemini_ai()
        log(
            task="video_understanding_with_google",
            function="main",
            message="upload_video_to_google_ai_task",
        )
        task.extract_best_frame_with_gemini_ai()

    # 调用接口，使用 ffmpeg 获取视频的最佳帧作为封面
    task.get_cover_with_best_frame()


def main():
    # create sub process
    process = multiprocessing.Process(target=start_task)
    process.start()

    # wait for sub process to finish
    process.join(PROCESS_EXIT_TIMEOUT)

    if process.is_alive():
        print(
            f"Process {process.pid} did not finish within {PROCESS_EXIT_TIMEOUT} seconds. Terminating..."
        )
        process.terminate()
        process.join()


if __name__ == "__main__":
    main()