subprocess.run执行cmd
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12
test_docker_run.py
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12
test_docker_run.py
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@ -0,0 +1,12 @@
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import subprocess
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def run_docker_command(command):
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result = subprocess.run(command, shell=True,
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stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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return result.stdout.decode('utf-8'), result.stderr.decode('utf-8')
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command = "docker run -ti --rm -v g:/ODM_output/20241024100834/grid_1:/datasets opendronemap/odm --project-path /datasets project --max-concurrency 10 --force-gps --feature-quality lowest --orthophoto-resolution 10 --fast-orthophoto --skip-3dmodel --rerun-all"
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stdout, stderr = run_docker_command(command)
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print(stdout)
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@ -1,17 +1,15 @@
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import os
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import logging
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import docker
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import subprocess
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from typing import Tuple
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class ODMProcessMonitor:
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"""ODM进程监控器"""
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def __init__(self, max_retries: int = 3, mode: str = "快拼模式"):
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self.max_retries = max_retries
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def __init__(self, mode: str = "快拼模式"):
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self.logger = logging.getLogger('UAV_Preprocess.ODMMonitor')
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self.mode = mode
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self.client = docker.from_env()
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def _check_success(self, grid_dir: str) -> bool:
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"""检查ODM是否执行成功"""
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@ -21,49 +19,40 @@ class ODMProcessMonitor:
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return all(os.path.exists(os.path.join(grid_dir, 'project', marker)) for marker in success_markers)
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def run_odm_with_monitor(self, grid_dir: str, grid_idx: int, fast_mode: bool = True) -> Tuple[bool, str]:
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"""运行ODM容器"""
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"""运行ODM命令"""
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try:
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self.logger.info(f"开始处理网格 {grid_idx + 1}")
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# 准备容器配置
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volumes = {
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grid_dir: {'bind': '/datasets', 'mode': 'rw'}
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}
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# 准备命令参数
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command = [
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"--project-path", "/datasets", "project",
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"--max-concurrency", "10",
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"--force-gps",
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"--rerun-all"
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]
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if fast_mode:
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command.extend([
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"--feature-quality", "lowest",
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"--orthophoto-resolution", "8",
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"--fast-orthophoto",
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"--skip-3dmodel"
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])
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# 运行容器并等待完成
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container = self.client.containers.run(
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"opendronemap/odm",
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command=command,
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volumes=volumes,
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detach=True,
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remove=True,
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environment={"PYTHONUNBUFFERED": "1"},
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mem_limit="0", # 不限制内存
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cpu_count=0, # 使用所有CPU
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network_mode="host" # 使用主机网络模式
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# 构建命令字符串
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command = (
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f"docker run -ti --rm "
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f"-v {grid_dir}:/datasets "
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f"opendronemap/odm "
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f"--project-path /datasets project "
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f"--max-concurrency 10 "
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f"--force-gps "
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)
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# 等待容器完成并获取状态码
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result = container.wait()
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if fast_mode:
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command += (
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f"--feature-quality lowest "
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f"--orthophoto-resolution 8 "
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f"--fast-orthophoto "
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f"--skip-3dmodel "
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)
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command += "--rerun-all"
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# 执行命令
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result = subprocess.run(
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command,
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shell=True,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL
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)
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# 检查是否成功完成
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if result['StatusCode'] == 0 and self._check_success(grid_dir):
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if result.returncode == 0 and self._check_success(grid_dir):
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self.logger.info(f"网格 {grid_idx + 1} 处理成功")
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return True, ""
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