UAV/utils/command_runner.py

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import os
import logging
import subprocess
import time
from typing import Dict
import pandas as pd
from utils.odm_monitor import ODMProcessMonitor
class CommandRunner:
"""执行网格处理命令的类"""
def __init__(self, output_dir: str, max_retries: int = 3, mode: str = "快拼模式"):
"""
初始化命令执行器
i
Args:
output_dir: 输出目录路径
max_retries: 最大重试次数
"""
self.output_dir = output_dir
self.max_retries = max_retries
self.logger = logging.getLogger('UAV_Preprocess.CommandRunner')
self.monitor = ODMProcessMonitor(max_retries=max_retries, mode=mode)
self.mode = mode
def _run_command(self, grid_idx: int):
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"""执行单个网格的命令"""
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try:
grid_dir = os.path.join(self.output_dir, f'grid_{grid_idx + 1}')
grid_dir = grid_dir[0].lower() + grid_dir[1:].replace('\\', '/')
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# 简化命令构建
base_command = (
f"docker run --rm " # 移除 -i 参数
f"-v {grid_dir}:/datasets "
f"opendronemap/odm "
f"--project-path /datasets project "
f"--max-concurrency 10 "
f"--force-gps "
)
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if self.mode == "快拼模式":
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command = base_command + (
f"--feature-quality lowest "
f"--orthophoto-resolution 8 "
f"--fast-orthophoto "
f"--skip-3dmodel "
f"--rerun-all"
)
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else:
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command = base_command + "--rerun-all"
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success, error_msg = self.monitor.run_odm_with_monitor(
command, grid_dir, grid_idx)
if not success:
raise Exception(error_msg)
except Exception as e:
self.logger.error(f"网格 {grid_idx + 1} 处理失败: {str(e)}")
raise
def run_grid_commands(self, grid_points: Dict[int, pd.DataFrame]):
"""
为每个网格顺序运行指定命令
Args:
grid_points: 网格点数据字典键为网格索引值为该网格的点数据
"""
self.logger.info("开始执行网格处理命令")
for grid_idx in grid_points.keys():
try:
self._run_command(grid_idx)
except Exception as e:
self.logger.error(f"网格 {grid_idx + 1} 处理失败,停止后续执行: {str(e)}")
raise