792 lines
28 KiB
Python
792 lines
28 KiB
Python
"""
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高级可视化模块
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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
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"""
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import time
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from typing import Dict, Any, List, Optional
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import math
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import random
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class AdvancedVisuals:
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"""
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高级可视化系统
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负责处理更复杂的生态系统可视化效果
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"""
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def __init__(self, plugin):
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"""
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初始化高级可视化系统
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Args:
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plugin: 植被和生态系统插件实例
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"""
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self.plugin = plugin
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self.enabled = False
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self.initialized = False
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# 可视化效果类型
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self.visualization_types = {
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'ecosystem_health': {
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'name': '生态系统健康度可视化',
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'description': '可视化显示生态系统的整体健康状况',
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'enabled': True
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},
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'interaction_trails': {
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'name': '交互轨迹可视化',
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'description': '可视化显示动物与植被的交互轨迹',
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'enabled': True
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},
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'biodiversity_map': {
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'name': '生物多样性地图',
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'description': '生成并显示生物多样性热力图',
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'enabled': True
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},
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'resource_distribution': {
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'name': '资源分布可视化',
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'description': '可视化显示环境资源分布',
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'enabled': True
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},
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'population_density': {
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'name': '种群密度可视化',
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'description': '可视化显示动物种群密度',
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'enabled': True
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},
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'growth_patterns': {
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'name': '生长模式可视化',
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'description': '可视化显示植被生长模式',
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'enabled': True
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}
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}
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# 可视化配置
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self.visualization_config = {
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'update_interval': 5.0, # 更新间隔(秒)
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'render_distance': 150.0, # 渲染距离
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'effect_intensity': 1.0, # 效果强度
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'show_labels': True, # 显示标签
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'transparency': 0.7, # 透明度
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'color_scheme': 'default' # 颜色方案
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}
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# 可视化数据缓存
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self.visualization_cache = {}
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self.cache_config = {
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'max_size': 200,
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'expiration_time': 300 # 5分钟
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}
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# 特效参数
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self.effect_params = {
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'health_visualization': {
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'color_gradient': [(1.0, 0.0, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0)], # 红-黄-绿
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'pulse_rate': 0.5, # 脉冲频率
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'size_variation': 0.2 # 大小变化
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},
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'trail_effects': {
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'trail_lifetime': 10.0, # 轨迹生命周期
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'trail_segments': 20, # 轨迹分段数
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'trail_width': 0.5 # 轨迹宽度
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},
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'heatmap_settings': {
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'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)],
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'opacity_range': (0.3, 0.8),
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'resolution': 50 # 热力图分辨率
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}
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}
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# 可视化对象
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self.visualization_objects = {}
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self.object_counter = 0
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# 时间配置
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self.time_config = {
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'last_update': 0.0,
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'effect_time': 0.0
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}
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# 统计信息
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self.visual_stats = {
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'visualizations_created': 0,
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'visualizations_updated': 0,
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'cache_hits': 0,
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'cache_misses': 0
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}
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print("✓ 高级可视化系统已创建")
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def initialize(self) -> bool:
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"""
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初始化高级可视化系统
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Returns:
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是否初始化成功
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"""
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try:
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self.initialized = True
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print("✓ 高级可视化系统初始化完成")
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return True
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except Exception as e:
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print(f"✗ 高级可视化系统初始化失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def enable(self) -> bool:
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"""
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启用高级可视化系统
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Returns:
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是否启用成功
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"""
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try:
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if not self.initialized:
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print("✗ 高级可视化系统未初始化")
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return False
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self.enabled = True
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print("✓ 高级可视化系统已启用")
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return True
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except Exception as e:
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print(f"✗ 高级可视化系统启用失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def disable(self):
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"""禁用高级可视化系统"""
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try:
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self.enabled = False
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print("✓ 高级可视化系统已禁用")
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except Exception as e:
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print(f"✗ 高级可视化系统禁用失败: {e}")
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import traceback
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traceback.print_exc()
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def finalize(self):
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"""清理高级可视化系统资源"""
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try:
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self.disable()
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self.visualization_cache.clear()
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self.visualization_objects.clear()
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self.initialized = False
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print("✓ 高级可视化系统资源已清理")
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except Exception as e:
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print(f"✗ 高级可视化系统资源清理失败: {e}")
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import traceback
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traceback.print_exc()
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def update(self, dt: float):
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"""
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更新高级可视化系统状态
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Args:
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dt: 时间增量
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"""
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try:
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if not self.enabled:
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return
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# 更新时间
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self.time_config['last_update'] += dt
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self.time_config['effect_time'] += dt
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# 检查是否需要更新
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if self.time_config['last_update'] >= self.visualization_config['update_interval']:
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# 更新可视化效果
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self._update_visualizations()
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# 重置更新计时器
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self.time_config['last_update'] = 0.0
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# 更新特效时间
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self._update_visual_effects(dt)
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except Exception as e:
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print(f"✗ 高级可视化系统更新失败: {e}")
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import traceback
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traceback.print_exc()
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def _update_visualizations(self):
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"""更新可视化效果"""
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try:
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# 更新生态系统健康度可视化
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if self.visualization_types['ecosystem_health']['enabled']:
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self._update_ecosystem_health_visualization()
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# 更新交互轨迹可视化
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if self.visualization_types['interaction_trails']['enabled']:
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self._update_interaction_trails_visualization()
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# 更新生物多样性地图
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if self.visualization_types['biodiversity_map']['enabled']:
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self._update_biodiversity_map_visualization()
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# 更新统计信息
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self.visual_stats['visualizations_updated'] += 1
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except Exception as e:
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print(f"✗ 可视化效果更新失败: {e}")
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def _update_visual_effects(self, dt: float):
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"""更新视觉特效"""
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try:
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# 在实际实现中，这里会更新各种视觉特效
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# 如脉冲效果、颜色变化等
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pass
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except Exception as e:
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print(f"✗ 视觉特效更新失败: {e}")
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def _update_ecosystem_health_visualization(self):
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"""更新生态系统健康度可视化"""
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try:
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if not self.plugin.ecosystem_manager:
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return
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# 获取生态系统状态
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system_state = self.plugin.ecosystem_manager.get_system_state()
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health_index = system_state.get('health_index', 0.5)
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# 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
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# 比如在场景中显示一个颜色编码的球体或平面
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# 缓存结果
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self._cache_visualization_data('ecosystem_health', health_index)
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except Exception as e:
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print(f"✗ 生态系统健康度可视化更新失败: {e}")
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def _update_interaction_trails_visualization(self):
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"""更新交互轨迹可视化"""
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try:
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if not self.plugin.ecosystem_interactions:
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return
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# 获取交互历史
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interaction_history = self.plugin.ecosystem_interactions.get_interaction_history(20)
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# 在实际实现中，这里会根据交互历史创建轨迹可视化
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# 比如显示动物移动路径、觅食路径等
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# 缓存结果
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self._cache_visualization_data('interaction_trails', len(interaction_history))
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except Exception as e:
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print(f"✗ 交互轨迹可视化更新失败: {e}")
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def _update_biodiversity_map_visualization(self):
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"""更新生物多样性地图可视化"""
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try:
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# 在实际实现中，这里会生成生物多样性热力图
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# 基于植被和动物的分布密度计算多样性指数
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biodiversity_index = 0.5 # 简化的默认值
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if self.plugin.vegetation_manager and self.plugin.animal_simulator:
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# 计算更准确的生物多样性指数
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veg_stats = self.plugin.vegetation_manager.get_stats()
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animal_stats = self.plugin.animal_simulator.get_stats()
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veg_count = veg_stats.get('total_vegetation', 0)
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animal_count = animal_stats.get('total_animals', 0)
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# 简单的多样性计算
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biodiversity_index = min(1.0, (veg_count + animal_count) / 1000.0)
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# 缓存结果
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self._cache_visualization_data('biodiversity_map', biodiversity_index)
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except Exception as e:
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print(f"✗ 生物多样性地图可视化更新失败: {e}")
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def _cache_visualization_data(self, key: str, data: Any):
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"""
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缓存可视化数据
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Args:
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key: 缓存键
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data: 要缓存的数据
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"""
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try:
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# 检查缓存大小
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if len(self.visualization_cache) >= self.cache_config['max_size']:
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# 移除最旧的条目
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oldest_key = min(self.visualization_cache.keys(),
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key=lambda k: self.visualization_cache[k][0])
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del self.visualization_cache[oldest_key]
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# 缓存数据
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self.visualization_cache[key] = (time.time(), data)
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except Exception as e:
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print(f"✗ 可视化数据缓存失败: {e}")
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def get_cached_visualization_data(self, key: str) -> Optional[Any]:
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"""
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获取缓存的可视化数据
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Args:
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key: 缓存键
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Returns:
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缓存的数据或None
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"""
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try:
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if key in self.visualization_cache:
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timestamp, data = self.visualization_cache[key]
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if time.time() - timestamp < self.cache_config['expiration_time']:
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self.visual_stats['cache_hits'] += 1
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return data
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else:
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# 缓存过期，删除条目
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del self.visualization_cache[key]
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self.visual_stats['cache_misses'] += 1
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return None
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except Exception as e:
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print(f"✗ 缓存可视化数据获取失败: {e}")
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return None
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def create_visualization_object(self, object_type: str, properties: Dict[str, Any]) -> int:
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"""
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创建可视化对象
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Args:
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object_type: 对象类型
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properties: 对象属性
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Returns:
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对象ID
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"""
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try:
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object_id = self.object_counter
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self.object_counter += 1
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visualization_object = {
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'id': object_id,
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'type': object_type,
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'properties': properties,
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'created_time': time.time(),
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'last_updated': time.time()
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}
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self.visualization_objects[object_id] = visualization_object
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# 更新统计信息
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self.visual_stats['visualizations_created'] += 1
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print(f"✓ 可视化对象已创建: {object_type} (ID: {object_id})")
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return object_id
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except Exception as e:
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print(f"✗ 可视化对象创建失败: {e}")
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return -1
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def update_visualization_object(self, object_id: int, properties: Dict[str, Any]) -> bool:
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"""
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更新可视化对象
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Args:
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object_id: 对象ID
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properties: 对象属性
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Returns:
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是否更新成功
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"""
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try:
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if object_id not in self.visualization_objects:
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print(f"✗ 可视化对象不存在: {object_id}")
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return False
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# 更新属性
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self.visualization_objects[object_id]['properties'].update(properties)
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self.visualization_objects[object_id]['last_updated'] = time.time()
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print(f"✓ 可视化对象已更新: ID {object_id}")
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return True
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except Exception as e:
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print(f"✗ 可视化对象更新失败: {e}")
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return False
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def remove_visualization_object(self, object_id: int) -> bool:
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"""
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移除可视化对象
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Args:
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object_id: 对象ID
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Returns:
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是否移除成功
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"""
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try:
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if object_id not in self.visualization_objects:
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print(f"✗ 可视化对象不存在: {object_id}")
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return False
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del self.visualization_objects[object_id]
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print(f"✓ 可视化对象已移除: ID {object_id}")
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return True
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except Exception as e:
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print(f"✗ 可视化对象移除失败: {e}")
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return False
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def get_visualization_object(self, object_id: int) -> Optional[Dict[str, Any]]:
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"""
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获取可视化对象
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Args:
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object_id: 对象ID
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Returns:
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可视化对象或None
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"""
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return self.visualization_objects.get(object_id)
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def get_all_visualization_objects(self) -> Dict[int, Dict[str, Any]]:
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"""
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获取所有可视化对象
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Returns:
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所有可视化对象字典
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"""
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return self.visualization_objects.copy()
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def set_visualization_type_enabled(self, visualization_type: str, enabled: bool):
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"""
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设置可视化类型启用状态
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Args:
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visualization_type: 可视化类型
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enabled: 是否启用
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"""
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try:
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if visualization_type in self.visualization_types:
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self.visualization_types[visualization_type]['enabled'] = enabled
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print(f"✓ 可视化类型 '{visualization_type}' 已{'启用' if enabled else '禁用'}")
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else:
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print(f"✗ 无效的可视化类型: {visualization_type}")
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except Exception as e:
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print(f"✗ 可视化类型设置失败: {e}")
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def get_visualization_types(self) -> Dict[str, Dict[str, Any]]:
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"""
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获取可视化类型
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Returns:
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可视化类型字典
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"""
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return self.visualization_types.copy()
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def set_visualization_config(self, config: Dict[str, Any]):
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"""
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设置可视化配置
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Args:
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config: 配置字典
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"""
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try:
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self.visualization_config.update(config)
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print(f"✓ 可视化配置已更新: {self.visualization_config}")
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except Exception as e:
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print(f"✗ 可视化配置更新失败: {e}")
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def get_visualization_config(self) -> Dict[str, Any]:
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"""
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获取可视化配置
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|
||
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 |