90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
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import docker
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import os
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import logging
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from collections import deque
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class DockerRunner:
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def __init__(self, project_path: str):
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"""
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初始化 DockerRunner
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Args:
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project_path (str): 项目路径，将挂载到 Docker 容器中
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"""
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self.project_path = project_path
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self.logger = logging.getLogger("DockerRunner")
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self.docker_client = docker.from_env()
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def run_odm_container(self):
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"""
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使用 Docker SDK 运行 OpenDroneMap 容器
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"""
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try:
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self.logger.info("开始运行docker run指令")
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# 挂载路径
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volume_mapping = {
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self.project_path: {
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'bind': '/datasets',
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'mode': 'rw'
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}
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}
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# Docker 命令参数
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command = [
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"--project-path", "/datasets",
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"project",
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"--max-concurrency", "15",
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"--force-gps",
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"--split-overlap", "0",
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]
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# 运行容器
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container = self.docker_client.containers.run(
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image="opendronemap/odm:gpu",
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command=command,
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volumes=volume_mapping,
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device_requests=[
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docker.types.DeviceRequest(
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count=-1, capabilities=[["gpu"]])
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], # 添加 GPU 支持
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remove=False, # 容器运行结束后不自动删除，便于获取日志
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tty=True,
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detach=True # 后台运行
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)
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# 等待容器运行完成
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exit_status = container.wait()
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if exit_status["StatusCode"] != 0:
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self.logger.error(f"容器运行失败，退出状态码: {exit_status['StatusCode']}")
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# 获取容器的错误日志
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error_logs = container.logs(
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stderr=True).decode("utf-8").splitlines()
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self.logger.error("容器运行失败的详细错误日志：")
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for line in error_logs:
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self.logger.error(line)
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else:
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# 获取所有日志
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logs = container.logs().decode("utf-8").splitlines()
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# 输出最后 50 行日志
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self.logger.info("容器运行完成，以下是最后 50 行日志：")
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for line in logs[-50:]:
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self.logger.info(line)
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# 删除容器
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container.remove()
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except Exception as e:
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self.logger.error(f"运行 Docker 容器时发生错误: {str(e)}", exc_info=True)
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raise
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if __name__ == "__main__":
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# 示例用法
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project_path = r"E:\datasets\UAV\199"
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docker_runner = DockerRunner(project_path)
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docker_runner.run_odm_container()
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