#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
模拟AI服务 - 用于演示AI功能
"""

import time
import threading
from typing import Dict, Any, Optional, Callable
from PyQt6.QtCore import QObject, pyqtSignal


class MockAIService(QObject):
    """模拟AI服务"""

    # 信号定义
    processing_started = pyqtSignal(str)      # 开始处理
    processing_progress = pyqtSignal(str, int)  # 处理进度
    processing_completed = pyqtSignal(str, str)  # 处理完成
    processing_error = pyqtSignal(str, str)     # 处理错误

    def __init__(self):
        super().__init__()
        self.is_processing = False
        self.current_task = None

    def analyze_video(self, video_path: str, callback: Optional[Callable] = None) -> Dict[str, Any]:
        """分析视频内容"""
        return self._simulate_processing("视频分析", video_path, callback)

    def generate_subtitle(self, video_path: str, language: str = "zh", callback: Optional[Callable] = None) -> str:
        """生成字幕"""
        result = self._simulate_processing("字幕生成", video_path, callback)
        return f"{video_path}.srt"

    def enhance_quality(self, video_path: str, enhancement_level: str = "medium", callback: Optional[Callable] = None) -> str:
        """增强视频质量"""
        result = self._simulate_processing("画质增强", video_path, callback)
        return f"{video_path}_enhanced.mp4"

    def reduce_noise(self, video_path: str, callback: Optional[Callable] = None) -> str:
        """降噪处理"""
        result = self._simulate_processing("降噪处理", video_path, callback)
        return f"{video_path}_denoised.mp4"

    def smart_editing(self, video_path: str, callback: Optional[Callable] = None) -> Dict[str, Any]:
        """智能剪辑"""
        result = self._simulate_processing("智能剪辑", video_path, callback)
        return {
            "highlights": [
                {"start": 30, "end": 45, "description": "精彩片段1"},
                {"start": 120, "end": 150, "description": "精彩片段2"}
            ],
            "output_path": f"{video_path}_edited.mp4"
        }

    def generate_commentary(self, video_path: str, style: str = "drama", callback: Optional[Callable] = None) -> str:
        """生成解说"""
        style_map = {
            "drama": "短剧解说",
            "third_person": "第三人称解说",
            "highlight": "高能混剪"
        }

        result = self._simulate_processing(style_map.get(style, "解说生成"), video_path, callback)
        return f"{video_path}_commentary.mp3"

    def _simulate_processing(self, task_name: str, input_path: str, callback: Optional[Callable] = None) -> Any:
        """模拟AI处理过程"""
        def process():
            self.is_processing = True
            self.current_task = task_name
            self.processing_started.emit(task_name)

            try:
                # 模拟处理进度
                for progress in range(0, 101, 10):
                    if not self.is_processing:
                        break

                    self.processing_progress.emit(task_name, progress)
                    time.sleep(0.1)  # 模拟处理时间

                # 生成模拟结果
                if "分析" in task_name:
                    result = {
                        "duration": 180,  # 3分钟
                        "scenes": 5,
                        "quality_score": 85,
                        "recommended_actions": ["智能剪辑", "字幕生成"]
                    }
                elif "剪辑" in task_name:
                    result = {
                        "segments": 3,
                        "total_duration": 120,
                        "highlights": ["开场", "高潮", "结尾"]
                    }
                else:
                    result = f"{input_path}_processed"

                self.processing_completed.emit(task_name, str(result))

                if callback:
                    callback(result)

                return result

            except Exception as e:
                error_msg = f"{task_name}失败: {str(e)}"
                self.processing_error.emit(task_name, error_msg)

                if callback:
                    callback({"error": error_msg})

                return {"error": error_msg}

            finally:
                self.is_processing = False
                self.current_task = None

        # 在新线程中处理
        thread = threading.Thread(target=process)
        thread.daemon = True
        thread.start()

        # 返回一个占位符
        return {"status": "processing", "task": task_name}

    def cancel_processing(self):
        """取消当前处理"""
        if self.is_processing:
            self.is_processing = False
            if self.current_task:
                self.processing_error.emit(self.current_task, "用户取消操作")

    def get_status(self) -> Dict[str, Any]:
        """获取当前状态"""
        return {
            "is_processing": self.is_processing,
            "current_task": self.current_task
        }