72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
import os
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import logging
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import subprocess
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import time
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from typing import Dict
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import pandas as pd
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from utils.odm_monitor import ODMProcessMonitor
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class CommandRunner:
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"""执行网格处理命令的类"""
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def __init__(self, output_dir: str, max_retries: int = 3, mode: str = "快拼模式"):
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"""
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初始化命令执行器
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i
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Args:
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output_dir: 输出目录路径
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max_retries: 最大重试次数
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"""
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self.output_dir = output_dir
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self.max_retries = max_retries
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self.logger = logging.getLogger('UAV_Preprocess.CommandRunner')
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self.monitor = ODMProcessMonitor(max_retries=max_retries, mode=mode)
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self.mode = mode
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def _run_command(self, grid_idx: int):
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"""
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执行单个网格的命令
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Args:
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grid_idx: 网格索引
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Raises:
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Exception: 当命令执行失败时抛出异常
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"""
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try:
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grid_dir = os.path.join(self.output_dir, f'grid_{grid_idx + 1}')
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grid_dir = grid_dir[0].lower() + grid_dir[1:].replace('\\', '/')
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if self.mode == "快拼模式":
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command = f"docker run -ti --rm -v {grid_dir}:/datasets opendronemap/odm --project-path /datasets project --feature-quality lowest --force-gps --fast-orthophoto --skip-3dmodel"
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else:
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command = f"docker run -ti --rm -v {grid_dir}:/datasets opendronemap/odm --project-path /datasets project --feature-quality lowest --force-gps"
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self.logger.info(f"开始执行命令: {command}")
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success, error_msg = self.monitor.run_odm_with_monitor(
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command, grid_dir, grid_idx)
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if not success:
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raise Exception(error_msg)
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except Exception as e:
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self.logger.error(f"网格 {grid_idx + 1} 处理失败: {str(e)}")
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raise
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def run_grid_commands(self, grid_points: Dict[int, pd.DataFrame]):
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"""
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为每个网格顺序运行指定命令
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Args:
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grid_points: 网格点数据字典，键为网格索引，值为该网格的点数据
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"""
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self.logger.info("开始执行网格处理命令")
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for grid_idx in grid_points.keys():
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try:
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self._run_command(grid_idx)
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except Exception as e:
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self.logger.error(f"网格 {grid_idx + 1} 处理失败，停止后续执行: {str(e)}")
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raise
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