import os
import logging
import subprocess
from typing import Dict, Tuple
import pandas as pd


class ODMProcessMonitor:
    """ODM处理监控器"""

    def __init__(self, output_dir: str, fast_mode: bool):
        self.output_dir = output_dir
        self.logger = logging.getLogger('UAV_Preprocess.ODMMonitor')
        self.fast_mode = fast_mode

    def _check_success(self, project_dir: str) -> bool:
        """检查ODM是否执行成功"""
        success_markers = ['odm_orthophoto', 'odm_georeferencing']
        if not self.fast_mode:
            success_markers.append('odm_texturing')
        return all(os.path.exists(os.path.join(project_dir, 'project', marker)) for marker in success_markers)

    def run_odm_with_monitor(self, project_dir: str, fast_mode: bool = True) -> Tuple[bool, str]:
        """运行ODM命令"""
        # 构建Docker命令
        docker_command = (
            f"docker run --gpus all -ti --rm "
            f"-v {project_dir}:/datasets "
            f"opendronemap/odm:gpu "
            f"--project-path /datasets project "
            f"--max-concurrency 15 "
            f"--force-gps "
            f"--feature-quality lowest "
            f"--orthophoto-resolution 10 "
            f"--split-overlap 0 "
        )

        if fast_mode:
            docker_command += (
                f"--fast-orthophoto "
                f"--skip-3dmodel "
            )

        docker_command += "--rerun-all"
        self.logger.info(docker_command)
        result = subprocess.run(
            docker_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        stdout, stderr = result.stdout.decode(
            'utf-8'), result.stderr.decode('utf-8')

        self.logger.info(f"==========stdout==========: {stdout}")
        self.logger.error(f"==========stderr==========: {stderr}")
        # 检查执行结果
        if self._check_success(project_dir):
            self.logger.info(f"处理成功")
        else:
            self.logger.error(f"处理失败")