ODM_pro/preprocess/odm_monitor.py

import os
import time
import psutil
import logging
import subprocess
from typing import Optional, Tuple


class ODMProcessMonitor:
    """ODM进程监控器"""

    def __init__(self, max_retries: int = 3, check_interval: int = 10, mode: str = "快拼模式"):
        """
        初始化监控器

        Args:
            max_retries: 最大重试次数
            check_interval: 检查间隔（秒）
            mode: 模式
        """
        self.max_retries = max_retries
        self.check_interval = check_interval
        self.logger = logging.getLogger('UAV_Preprocess.ODMMonitor')
        self.mode = mode

    def _check_docker_container(self, process_name: str = "opendronemap/odm") -> bool:
        """检查是否有指定的Docker容器在运行"""
        try:
            result = subprocess.run(
                ["docker", "ps", "--filter",
                    f"ancestor={process_name}", "--format", "{{.ID}}"],
                capture_output=True,
                text=True
            )
            return bool(result.stdout.strip())
        except Exception as e:
            self.logger.error(f"检查Docker容器状态时发生错误: {str(e)}")
            return False

    def _check_success(self, grid_dir: str) -> bool:
        """检查ODM是否执行成功"""
        if self.mode == "快拼模式":
            success_markers = ['odm_orthophoto', 'odm_georeferencing']
        else:
            success_markers = ['odm_orthophoto',
                               'odm_georeferencing', 'odm_texturing']
        return all(os.path.exists(os.path.join(grid_dir, 'project', marker)) for marker in success_markers)

    def run_odm_with_monitor(self, command: str, grid_dir: str, grid_idx: int) -> Tuple[bool, str]:
        """
        运行ODM命令并监控进程

        Args:
            command: ODM命令
            grid_dir: 网格目录
            grid_idx: 网格索引
        Returns:
            Tuple[bool, str]: (是否成功, 错误信息)
        """
        # TODO 加入rerun信息
        attempt = 0
        while attempt < self.max_retries:
            try:
                self.logger.info(f"网格 {grid_idx + 1} 第 {attempt + 1} 次尝试执行ODM")

                # 启动ODM进程
                process = subprocess.Popen(
                    command,
                    shell=True,
                    cwd=grid_dir,
                    stdout=subprocess.PIPE,
                    stderr=subprocess.PIPE,
                    text=True
                )

                self.logger.info("ODM进程已启动，开始监控Docker容器")

                # 等待进程启动
                time.sleep(10)

                # 监控Docker容器
                while True:
                    if not self._check_docker_container():
                        # Docker容器已结束，获取进程输出
                        stdout, stderr = process.communicate()

                        time.sleep(10)
                        # 保存日志
                        log_file = os.path.join(
                            grid_dir, f'odm_attempt_{attempt + 1}.log')
                        with open(log_file, 'w', encoding='utf-8') as f:
                            f.write(
                                f"=== 标准输出 ===\n{stdout}\n\n=== 错误输出 ===\n{stderr}")

                        # 检查是否成功完成
                        if self._check_success(grid_dir):
                            self.logger.info(f"网格 {grid_idx + 1} ODM处理成功")
                            return True, ""
                        else:
                            self.logger.warning(
                                f"网格 {grid_idx + 1} 第 {attempt + 1} 次尝试失败")
                            break

                    time.sleep(self.check_interval)

                # 如果不是最后一次尝试，等待后重试
                if attempt < self.max_retries - 1:
                    wait_time = (attempt + 1) * 30
                    self.logger.info(f"等待 {wait_time} 秒后重试...")
                    time.sleep(wait_time)

                attempt += 1

            except Exception as e:
                error_msg = f"监控进程发生异常: {str(e)}"
                self.logger.error(error_msg)
                return False, error_msg

        error_msg = f"网格 {grid_idx + 1} 在 {self.max_retries} 次尝试后仍然失败，需要人工查看"
        self.logger.error(error_msg)
        return False, error_msg