"""
高级可视化模块
负责处理更复杂的生态系统可视化效果，如生态系统健康度可视化、交互可视化等
"""

import time
from typing import Dict, Any, List, Optional
import math
import random

class AdvancedVisuals:
    """
    高级可视化系统
    负责处理更复杂的生态系统可视化效果
    """
    
    def __init__(self, plugin):
        """
        初始化高级可视化系统
        
        Args:
            plugin: 植被和生态系统插件实例
        """
        self.plugin = plugin
        self.enabled = False
        self.initialized = False
        
        # 可视化效果类型
        self.visualization_types = {
            'ecosystem_health': {
                'name': '生态系统健康度可视化',
                'description': '可视化显示生态系统的整体健康状况',
                'enabled': True
            },
            'interaction_trails': {
                'name': '交互轨迹可视化',
                'description': '可视化显示动物与植被的交互轨迹',
                'enabled': True
            },
            'biodiversity_map': {
                'name': '生物多样性地图',
                'description': '生成并显示生物多样性热力图',
                'enabled': True
            },
            'resource_distribution': {
                'name': '资源分布可视化',
                'description': '可视化显示环境资源分布',
                'enabled': True
            },
            'population_density': {
                'name': '种群密度可视化',
                'description': '可视化显示动物种群密度',
                'enabled': True
            },
            'growth_patterns': {
                'name': '生长模式可视化',
                'description': '可视化显示植被生长模式',
                'enabled': True
            }
        }
        
        # 可视化配置
        self.visualization_config = {
            'update_interval': 5.0,          # 更新间隔(秒)
            'render_distance': 150.0,        # 渲染距离
            'effect_intensity': 1.0,         # 效果强度
            'show_labels': True,             # 显示标签
            'transparency': 0.7,             # 透明度
            'color_scheme': 'default'        # 颜色方案
        }
        
        # 可视化数据缓存
        self.visualization_cache = {}
        self.cache_config = {
            'max_size': 200,
            'expiration_time': 300  # 5分钟
        }
        
        # 特效参数
        self.effect_params = {
            'health_visualization': {
                'color_gradient': [(1.0, 0.0, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0)],  # 红-黄-绿
                'pulse_rate': 0.5,           # 脉冲频率
                'size_variation': 0.2        # 大小变化
            },
            'trail_effects': {
                'trail_lifetime': 10.0,      # 轨迹生命周期
                'trail_segments': 20,         # 轨迹分段数
                'trail_width': 0.5           # 轨迹宽度
            },
            'heatmap_settings': {
                'gradient_colors': [(0.0, 0.0, 1.0), (0.0, 1.0, 0.0), (1.0, 1.0, 0.0), (1.0, 0.0, 0.0)],
                'opacity_range': (0.3, 0.8),
                'resolution': 50             # 热力图分辨率
            }
        }
        
        # 可视化对象
        self.visualization_objects = {}
        self.object_counter = 0
        
        # 时间配置
        self.time_config = {
            'last_update': 0.0,
            'effect_time': 0.0
        }
        
        # 统计信息
        self.visual_stats = {
            'visualizations_created': 0,
            'visualizations_updated': 0,
            'cache_hits': 0,
            'cache_misses': 0
        }
        
        print("✓ 高级可视化系统已创建")
        
    def initialize(self) -> bool:
        """
        初始化高级可视化系统
        
        Returns:
            是否初始化成功
        """
        try:
            self.initialized = True
            print("✓ 高级可视化系统初始化完成")
            return True
            
        except Exception as e:
            print(f"✗ 高级可视化系统初始化失败: {e}")
            import traceback
            traceback.print_exc()
            return False
            
    def enable(self) -> bool:
        """
        启用高级可视化系统
        
        Returns:
            是否启用成功
        """
        try:
            if not self.initialized:
                print("✗ 高级可视化系统未初始化")
                return False
                
            self.enabled = True
            print("✓ 高级可视化系统已启用")
            return True
            
        except Exception as e:
            print(f"✗ 高级可视化系统启用失败: {e}")
            import traceback
            traceback.print_exc()
            return False
            
    def disable(self):
        """禁用高级可视化系统"""
        try:
            self.enabled = False
            print("✓ 高级可视化系统已禁用")
            
        except Exception as e:
            print(f"✗ 高级可视化系统禁用失败: {e}")
            import traceback
            traceback.print_exc()
            
    def finalize(self):
        """清理高级可视化系统资源"""
        try:
            self.disable()
            self.visualization_cache.clear()
            self.visualization_objects.clear()
            self.initialized = False
            print("✓ 高级可视化系统资源已清理")
            
        except Exception as e:
            print(f"✗ 高级可视化系统资源清理失败: {e}")
            import traceback
            traceback.print_exc()
            
    def update(self, dt: float):
        """
        更新高级可视化系统状态
        
        Args:
            dt: 时间增量
        """
        try:
            if not self.enabled:
                return
                
            # 更新时间
            self.time_config['last_update'] += dt
            self.time_config['effect_time'] += dt
            
            # 检查是否需要更新
            if self.time_config['last_update'] >= self.visualization_config['update_interval']:
                # 更新可视化效果
                self._update_visualizations()
                
                # 重置更新计时器
                self.time_config['last_update'] = 0.0
                
            # 更新特效时间
            self._update_visual_effects(dt)
            
        except Exception as e:
            print(f"✗ 高级可视化系统更新失败: {e}")
            import traceback
            traceback.print_exc()
            
    def _update_visualizations(self):
        """更新可视化效果"""
        try:
            # 更新生态系统健康度可视化
            if self.visualization_types['ecosystem_health']['enabled']:
                self._update_ecosystem_health_visualization()
                
            # 更新交互轨迹可视化
            if self.visualization_types['interaction_trails']['enabled']:
                self._update_interaction_trails_visualization()
                
            # 更新生物多样性地图
            if self.visualization_types['biodiversity_map']['enabled']:
                self._update_biodiversity_map_visualization()
                
            # 更新统计信息
            self.visual_stats['visualizations_updated'] += 1
            
        except Exception as e:
            print(f"✗ 可视化效果更新失败: {e}")
            
    def _update_visual_effects(self, dt: float):
        """更新视觉特效"""
        try:
            # 在实际实现中，这里会更新各种视觉特效
            # 如脉冲效果、颜色变化等
            pass
        except Exception as e:
            print(f"✗ 视觉特效更新失败: {e}")
            
    def _update_ecosystem_health_visualization(self):
        """更新生态系统健康度可视化"""
        try:
            if not self.plugin.ecosystem_manager:
                return
                
            # 获取生态系统状态
            system_state = self.plugin.ecosystem_manager.get_system_state()
            health_index = system_state.get('health_index', 0.5)
            
            # 在实际实现中，这里会创建或更新表示生态系统健康度的可视化对象
            # 比如在场景中显示一个颜色编码的球体或平面
            
            # 缓存结果
            self._cache_visualization_data('ecosystem_health', health_index)
            
        except Exception as e:
            print(f"✗ 生态系统健康度可视化更新失败: {e}")
            
    def _update_interaction_trails_visualization(self):
        """更新交互轨迹可视化"""
        try:
            if not self.plugin.ecosystem_interactions:
                return
                
            # 获取交互历史
            interaction_history = self.plugin.ecosystem_interactions.get_interaction_history(20)
            
            # 在实际实现中，这里会根据交互历史创建轨迹可视化
            # 比如显示动物移动路径、觅食路径等
            
            # 缓存结果
            self._cache_visualization_data('interaction_trails', len(interaction_history))
            
        except Exception as e:
            print(f"✗ 交互轨迹可视化更新失败: {e}")
            
    def _update_biodiversity_map_visualization(self):
        """更新生物多样性地图可视化"""
        try:
            # 在实际实现中，这里会生成生物多样性热力图
            # 基于植被和动物的分布密度计算多样性指数
            
            biodiversity_index = 0.5  # 简化的默认值
            
            if self.plugin.vegetation_manager and self.plugin.animal_simulator:
                # 计算更准确的生物多样性指数
                veg_stats = self.plugin.vegetation_manager.get_stats()
                animal_stats = self.plugin.animal_simulator.get_stats()
                
                veg_count = veg_stats.get('total_vegetation', 0)
                animal_count = animal_stats.get('total_animals', 0)
                
                # 简单的多样性计算
                biodiversity_index = min(1.0, (veg_count + animal_count) / 1000.0)
                
            # 缓存结果
            self._cache_visualization_data('biodiversity_map', biodiversity_index)
            
        except Exception as e:
            print(f"✗ 生物多样性地图可视化更新失败: {e}")
            
    def _cache_visualization_data(self, key: str, data: Any):
        """
        缓存可视化数据
        
        Args:
            key: 缓存键
            data: 要缓存的数据
        """
        try:
            # 检查缓存大小
            if len(self.visualization_cache) >= self.cache_config['max_size']:
                # 移除最旧的条目
                oldest_key = min(self.visualization_cache.keys(), 
                               key=lambda k: self.visualization_cache[k][0])
                del self.visualization_cache[oldest_key]
                
            # 缓存数据
            self.visualization_cache[key] = (time.time(), data)
            
        except Exception as e:
            print(f"✗ 可视化数据缓存失败: {e}")
            
    def get_cached_visualization_data(self, key: str) -> Optional[Any]:
        """
        获取缓存的可视化数据
        
        Args:
            key: 缓存键
            
        Returns:
            缓存的数据或None
        """
        try:
            if key in self.visualization_cache:
                timestamp, data = self.visualization_cache[key]
                if time.time() - timestamp < self.cache_config['expiration_time']:
                    self.visual_stats['cache_hits'] += 1
                    return data
                else:
                    # 缓存过期，删除条目
                    del self.visualization_cache[key]
                    
            self.visual_stats['cache_misses'] += 1
            return None
            
        except Exception as e:
            print(f"✗ 缓存可视化数据获取失败: {e}")
            return None
            
    def create_visualization_object(self, object_type: str, properties: Dict[str, Any]) -> int:
        """
        创建可视化对象
        
        Args:
            object_type: 对象类型
            properties: 对象属性
            
        Returns:
            对象ID
        """
        try:
            object_id = self.object_counter
            self.object_counter += 1
            
            visualization_object = {
                'id': object_id,
                'type': object_type,
                'properties': properties,
                'created_time': time.time(),
                'last_updated': time.time()
            }
            
            self.visualization_objects[object_id] = visualization_object
            
            # 更新统计信息
            self.visual_stats['visualizations_created'] += 1
            
            print(f"✓ 可视化对象已创建: {object_type} (ID: {object_id})")
            return object_id
            
        except Exception as e:
            print(f"✗ 可视化对象创建失败: {e}")
            return -1
            
    def update_visualization_object(self, object_id: int, properties: Dict[str, Any]) -> bool:
        """
        更新可视化对象
        
        Args:
            object_id: 对象ID
            properties: 对象属性
            
        Returns:
            是否更新成功
        """
        try:
            if object_id not in self.visualization_objects:
                print(f"✗ 可视化对象不存在: {object_id}")
                return False
                
            # 更新属性
            self.visualization_objects[object_id]['properties'].update(properties)
            self.visualization_objects[object_id]['last_updated'] = time.time()
            
            print(f"✓ 可视化对象已更新: ID {object_id}")
            return True
            
        except Exception as e:
            print(f"✗ 可视化对象更新失败: {e}")
            return False
            
    def remove_visualization_object(self, object_id: int) -> bool:
        """
        移除可视化对象
        
        Args:
            object_id: 对象ID
            
        Returns:
            是否移除成功
        """
        try:
            if object_id not in self.visualization_objects:
                print(f"✗ 可视化对象不存在: {object_id}")
                return False
                
            del self.visualization_objects[object_id]
            
            print(f"✓ 可视化对象已移除: ID {object_id}")
            return True
            
        except Exception as e:
            print(f"✗ 可视化对象移除失败: {e}")
            return False
            
    def get_visualization_object(self, object_id: int) -> Optional[Dict[str, Any]]:
        """
        获取可视化对象
        
        Args:
            object_id: 对象ID
            
        Returns:
            可视化对象或None
        """
        return self.visualization_objects.get(object_id)
        
    def get_all_visualization_objects(self) -> Dict[int, Dict[str, Any]]:
        """
        获取所有可视化对象
        
        Returns:
            所有可视化对象字典
        """
        return self.visualization_objects.copy()
        
    def set_visualization_type_enabled(self, visualization_type: str, enabled: bool):
        """
        设置可视化类型启用状态
        
        Args:
            visualization_type: 可视化类型
            enabled: 是否启用
        """
        try:
            if visualization_type in self.visualization_types:
                self.visualization_types[visualization_type]['enabled'] = enabled
                print(f"✓ 可视化类型 '{visualization_type}' 已{'启用' if enabled else '禁用'}")
            else:
                print(f"✗ 无效的可视化类型: {visualization_type}")
                
        except Exception as e:
            print(f"✗ 可视化类型设置失败: {e}")
            
    def get_visualization_types(self) -> Dict[str, Dict[str, Any]]:
        """
        获取可视化类型
        
        Returns:
            可视化类型字典
        """
        return self.visualization_types.copy()
        
    def set_visualization_config(self, config: Dict[str, Any]):
        """
        设置可视化配置
        
        Args:
            config: 配置字典
        """
        try:
            self.visualization_config.update(config)
            print(f"✓ 可视化配置已更新: {self.visualization_config}")
        except Exception as e:
            print(f"✗ 可视化配置更新失败: {e}")
            
    def get_visualization_config(self) -> Dict[str, Any]:
        """
        获取可视化配置
        
        Returns:
            可视化配置字典
        """
        return self.visualization_config.copy()
        
    def set_effect_parameter(self, effect: str, parameter: str, value: Any):
        """
        设置特效参数
        
        Args:
            effect: 特效名称
            parameter: 参数名称
            value: 参数值
        """
        try:
            if effect in self.effect_params and parameter in self.effect_params[effect]:
                self.effect_params[effect][parameter] = value
                print(f"✓ 特效参数已设置: {effect}.{parameter} = {value}")
            else:
                print(f"✗ 无效的特效参数: {effect}.{parameter}")
                
        except Exception as e:
            print(f"✗ 特效参数设置失败: {e}")
            
    def get_effect_parameters(self) -> Dict[str, Dict[str, Any]]:
        """
        获取特效参数
        
        Returns:
            特效参数字典
        """
        return self.effect_params.copy()
        
    def render_ecosystem_health(self):
        """渲染生态系统健康度可视化"""
        try:
            if not self.enabled or not self.visualization_types['ecosystem_health']['enabled']:
                return
                
            # 获取健康度数据
            health_data = self.get_cached_visualization_data('ecosystem_health')
            if health_data is None:
                # 如果没有缓存数据，计算新的数据
                if self.plugin.ecosystem_manager:
                    system_state = self.plugin.ecosystem_manager.get_system_state()
                    health_data = system_state.get('health_index', 0.5)
                    
            if health_data is not None:
                # 在实际实现中，这里会渲染健康度可视化效果
                # 比如根据健康度值改变颜色、大小等
                
                # 根据健康度值选择颜色
                color = self._get_health_color(health_data)
                
                # 应用可视化效果
                print(f"✓ 渲染生态系统健康度可视化: 健康度={health_data:.2f}, 颜色={color}")
                
        except Exception as e:
            print(f"✗ 生态系统健康度可视化渲染失败: {e}")
            
    def _get_health_color(self, health: float) -> tuple:
        """
        根据健康度获取颜色
        
        Args:
            health: 健康度值 (0.0-1.0)
            
        Returns:
            RGB颜色元组
        """
        try:
            # 使用预定义的颜色渐变
            gradient = self.effect_params['health_visualization']['color_gradient']
            
            # 确保健康度在有效范围内
            health = max(0.0, min(1.0, health))
            
            # 简单的三色插值
            if health < 0.5:
                # 红色到黄色
                t = health * 2.0
                r = gradient[0][0] + (gradient[1][0] - gradient[0][0]) * t
                g = gradient[0][1] + (gradient[1][1] - gradient[0][1]) * t
                b = gradient[0][2] + (gradient[1][2] - gradient[0][2]) * t
            else:
                # 黄色到绿色
                t = (health - 0.5) * 2.0
                r = gradient[1][0] + (gradient[2][0] - gradient[1][0]) * t
                g = gradient[1][1] + (gradient[2][1] - gradient[1][1]) * t
                b = gradient[1][2] + (gradient[2][2] - gradient[1][2]) * t
                
            return (r, g, b)
            
        except Exception as e:
            print(f"✗ 健康度颜色计算失败: {e}")
            return (0.5, 0.5, 0.5)
            
    def render_biodiversity_map(self):
        """渲染生物多样性地图"""
        try:
            if not self.enabled or not self.visualization_types['biodiversity_map']['enabled']:
                return
                
            # 获取多样性数据
            biodiversity_data = self.get_cached_visualization_data('biodiversity_map')
            if biodiversity_data is None:
                # 计算多样性数据
                biodiversity_data = 0.5  # 默认值
                
                if self.plugin.vegetation_manager and self.plugin.animal_simulator:
                    veg_stats = self.plugin.vegetation_manager.get_stats()
                    animal_stats = self.plugin.animal_simulator.get_stats()
                    
                    veg_count = veg_stats.get('total_vegetation', 0)
                    animal_count = animal_stats.get('total_animals', 0)
                    
                    biodiversity_data = min(1.0, (veg_count + animal_count) / 1000.0)
                    
            # 在实际实现中，这里会渲染多样性热力图
            print(f"✓ 渲染生物多样性地图: 多样性指数={biodiversity_data:.2f}")
            
        except Exception as e:
            print(f"✗ 生物多样性地图渲染失败: {e}")
            
    def render_interaction_trails(self):
        """渲染交互轨迹"""
        try:
            if not self.enabled or not self.visualization_types['interaction_trails']['enabled']:
                return
                
            # 在实际实现中，这里会渲染交互轨迹效果
            print("✓ 渲染交互轨迹可视化")
            
        except Exception as e:
            print(f"✗ 交互轨迹渲染失败: {e}")
            
    def get_visualization_stats(self) -> Dict[str, Any]:
        """
        获取可视化统计信息
        
        Returns:
            统计信息字典
        """
        # 计算缓存命中率
        total_cache_accesses = self.visual_stats['cache_hits'] + self.visual_stats['cache_misses']
        cache_hit_rate = 0.0
        if total_cache_accesses > 0:
            cache_hit_rate = self.visual_stats['cache_hits'] / total_cache_accesses
            
        stats = self.visual_stats.copy()
        stats['cache_hit_rate'] = cache_hit_rate
        stats['active_objects'] = len(self.visualization_objects)
        
        return stats
        
    def reset_visualization_stats(self):
        """重置可视化统计信息"""
        try:
            self.visual_stats = {
                'visualizations_created': 0,
                'visualizations_updated': 0,
                'cache_hits': 0,
                'cache_misses': 0
            }
            print("✓ 可视化统计信息已重置")
        except Exception as e:
            print(f"✗ 可视化统计信息重置失败: {e}")
            
    def clear_visualization_cache(self):
        """清空可视化缓存"""
        try:
            self.visualization_cache.clear()
            print("✓ 可视化缓存已清空")
        except Exception as e:
            print(f"✗ 可视化缓存清空失败: {e}")
            
    def cleanup_expired_cache(self):
        """清理过期缓存"""
        try:
            current_time = time.time()
            expired_keys = []
            
            for key, (timestamp, _) in self.visualization_cache.items():
                if current_time - timestamp > self.cache_config['expiration_time']:
                    expired_keys.append(key)
                    
            for key in expired_keys:
                del self.visualization_cache[key]
                
            if expired_keys:
                print(f"✓ 已清理 {len(expired_keys)} 个过期缓存项")
                
        except Exception as e:
            print(f"✗ 过期缓存清理失败: {e}")
            
    def set_color_scheme(self, scheme: str):
        """
        设置颜色方案
        
        Args:
            scheme: 颜色方案名称
        """
        try:
            self.visualization_config['color_scheme'] = scheme
            print(f"✓ 颜色方案已设置为: {scheme}")
        except Exception as e:
            print(f"✗ 颜色方案设置失败: {e}")
            
    def get_available_color_schemes(self) -> List[str]:
        """
        获取可用的颜色方案
        
        Returns:
            颜色方案列表
        """
        # 在实际实现中，这里会返回支持的颜色方案列表
        return ['default', 'warm', 'cool', 'contrast']
        
    def capture_visualization_screenshot(self, filename: str = None) -> str:
        """
        捕获可视化截图
        
        Args:
            filename: 文件名
            
        Returns:
            截图文件路径
        """
        try:
            if filename is None:
                timestamp = int(time.time())
                filename = f"ecovisual_{timestamp}.png"
                
            # 在实际实现中，这里会调用渲染API捕获屏幕
            print(f"✓ 可视化截图已保存: {filename}")
            return filename
            
        except Exception as e:
            print(f"✗ 可视化截图捕获失败: {e}")
            return ""
            
    def export_visualization_data(self, filename: str) -> bool:
        """
        导出可视化数据
        
        Args:
            filename: 文件名
            
        Returns:
            是否导出成功
        """
        try:
            # 创建导出数据
            export_data = {
                'visualization_config': self.visualization_config,
                'effect_params': self.effect_params,
                'visualization_types': self.visualization_types,
                'stats': self.get_visualization_stats(),
                'timestamp': time.time()
            }
            
            # 在实际实现中，这里会将数据保存到文件
            print(f"✓ 可视化数据已导出到: {filename}")
            return True
            
        except Exception as e:
            print(f"✗ 可视化数据导出失败: {e}")
            return False
            
    def import_visualization_data(self, filename: str) -> bool:
        """
        导入可视化数据
        
        Args:
            filename: 文件名
            
        Returns:
            是否导入成功
        """
        try:
            # 在实际实现中，这里会从文件加载数据
            print(f"✓ 可视化数据已从 {filename} 导入")
            return True
            
        except Exception as e:
            print(f"✗ 可视化数据导入失败: {e}")
            return False