WPS插件生态大全：十大必备插件让你的办公效率飞起

class WPSPluginArchitecture:
    """WPS插件架构深度解析"""
    
    def __init__(self):
        self.plugin_types = {
            'COM插件': '基于Component Object Model的传统插件',
            'WPS加载项': '使用JavaScript开发的现代插件',
            'Python脚本': '通过COM接口调用的Python扩展',
            '模板插件': '提供特定模板和样式的功能扩展'
        }
        
        self.security_levels = {
            '官方认证': '经过金山官方安全审核',
            '社区推荐': '由WPS社区验证推荐',
            '用户分享': '用户自行开发分享的插件',
            '实验性质': '尚在开发测试阶段的插件'
        }
    
    def analyze_plugin_ecosystem(self):
        """分析插件生态系统结构"""
        ecosystem_analysis = {
            '核心层': [
                '文档处理增强插件',
                '数据分析和处理插件',
                '界面优化和体验插件'
            ],
            '专业层': [
                '行业专用插件(法律、教育、医疗)',
                '企业定制化插件',
                '特定格式处理插件'
            ],
            '扩展层': [
                '创意设计类插件',
                '效率工具类插件',
                '第三方服务集成插件'
            ]
        }
        return ecosystem_analysis
    
    def plugin_development_framework(self):
        """插件开发框架分析"""
        frameworks = {
            '前端技术栈': {
                'HTML5 + CSS3': '界面渲染',
                'JavaScript/TypeScript': '业务逻辑',
                'Vue.js/React': '现代化UI框架'
            },
            '后端集成': {
                'COM接口': '与WPS深度集成',
                'RESTful API': '网络服务调用',
                '本地存储': '数据缓存和管理'
            },
            '开发工具': {
                'WPS IDE': '官方开发环境',
                'Visual Studio': '传统COM插件开发',
                '在线调试工具': '实时测试和调试'
            }
        }
        return frameworks

class PluginSecurityManager:
    """插件安全管理器"""
    
    def __init__(self):
        self.security_policies = {
            '权限分级': [
                '文件读取权限',
                '网络访问权限',
                '系统资源权限',
                '用户数据权限'
            ],
            '沙箱机制': [
                '代码执行隔离',
                '文件访问限制',
                '网络请求监控',
                '内存使用限制'
            ],
            '审核流程': [
                '代码安全扫描',
                '功能合规检查',
                '性能影响评估',
                '隐私政策审核'
            ]
        }
    
    def install_plugin_safely(self, plugin_file, user_permission_level):
        """安全安装插件"""
        try:
            # 验证插件来源
            source_verification = self._verify_plugin_source(plugin_file)
            if not source_verification['trusted']:
                raise SecurityError("插件来源不可信")
            
            # 扫描恶意代码
            malware_scan = self._scan_for_malware(plugin_file)
            if malware_scan['found_threats']:
                raise SecurityError(f"检测到安全威胁: {malware_scan['threats']}")
            
            # 检查权限要求
            required_permissions = self._analyze_permission_requirements(plugin_file)
            if not self._check_permission_compatibility(required_permissions, user_permission_level):
                raise PermissionError("插件权限要求超出用户权限级别")
            
            # 备份当前配置
            self._backup_current_config()
            
            # 执行安装
            installation_result = self._execute_installation(plugin_file)
            
            # 验证安装结果
            verification = self._verify_installation(installation_result)
            
            # 记录安装日志
            self._log_installation(plugin_file, installation_result, user_permission_level)
            
            return {
                'status': 'success',
                'installation_path': installation_result['install_path'],
                'permissions_granted': required_permissions,
                'verification_status': verification
            }
            
        except Exception as e:
            # 恢复备份
            self._restore_from_backup()
            return {
                'status': 'failed',
                'error': str(e)
            }
    
    def manage_plugin_permissions(self, plugin_id, new_permissions):
        """管理插件权限"""
        current_permissions = self._get_current_permissions(plugin_id)
        
        # 检查权限变更是否安全
        security_check = self._validate_permission_change(current_permissions, new_permissions)
        if not security_check['allowed']:
            return {
                'status': 'denied',
                'reasons': security_check['rejection_reasons']
            }
        
        # 应用权限变更
        self._apply_permission_changes(plugin_id, new_permissions)
        
        # 重新初始化插件
        reinitialization = self._reinitialize_plugin(plugin_id)
        
        return {
            'status': 'success',
            'old_permissions': current_permissions,
            'new_permissions': new_permissions,
            'reinitialization_status': reinitialization
        }

class DocumentFormattingPlugin:
    """文档格式整理插件深度评测"""
    
    def __init__(self):
        self.feature_set = {
            '智能格式整理': [
                '多级标题自动识别',
                '段落样式统一',
                '字体格式规范化',
                '间距和对齐优化'
            ],
            '批量处理能力': [
                '多文档批量格式整理',
                '样式库统一应用',
                '模板快速套用',
                '格式错误批量修复'
            ],
            '高级排版功能': [
                '文档结构自动优化',
                '图表编号自动生成',
                '参考文献格式处理',
                '目录自动更新'
            ]
        }
    
    def analyze_formatting_issues(self, document_path):
        """分析文档格式问题"""
        try:
            doc = self._open_document(document_path)
            
            formatting_analysis = {
                'structural_issues': self._detect_structural_issues(doc),
                'style_inconsistencies': self._find_style_inconsistencies(doc),
                'spacing_problems': self._identify_spacing_problems(doc),
                'font_issues': self._check_font_consistency(doc)
            }
            
            # 计算格式质量评分
            quality_score = self._calculate_formatting_quality(formatting_analysis)
            formatting_analysis['quality_score'] = quality_score
            
            # 生成修复建议
            repair_suggestions = self._generate_repair_suggestions(formatting_analysis)
            formatting_analysis['repair_suggestions'] = repair_suggestions
            
            doc.Close()
            return formatting_analysis
            
        except Exception as e:
            return {'error': f'文档分析失败: {str(e)}'}
    
    def batch_format_documents(self, document_list, formatting_rules):
        """批量格式化文档"""
        processing_results = {}
        
        for doc_path in document_list:
            try:
                # 应用格式规则
                formatted_doc = self._apply_formatting_rules(doc_path, formatting_rules)
                
                # 验证格式应用结果
                verification = self._verify_formatting_application(formatted_doc, formatting_rules)
                
                processing_results[doc_path] = {
                    'status': 'success',
                    'changes_made': verification['changes'],
                    'formatting_score_improvement': verification['improvement']
                }
                
            except Exception as e:
                processing_results[doc_path] = {
                    'status': 'failed',
                    'error': str(e)
                }
        
        # 生成批量处理报告
        batch_report = self._generate_batch_processing_report(processing_results)
        processing_results['summary_report'] = batch_report
        
        return processing_results

class SmartWritingAssistant:
    """智能写作助手插件"""
    
    def __init__(self):
        self.writing_modes = {
            '学术写作': {
                '论文结构优化',
                '学术用语建议',
                '参考文献辅助',
                '查重检测集成'
            },
            '商务写作': {
                '商务用语优化',
                '报告结构建议',
                '专业术语检查',
                '语气风格调整'
            },
            '创意写作': {
                '文风模仿建议',
                '修辞手法推荐',
                '情节发展建议',
                '角色描写优化'
            }
        }
    
    def real_time_writing_assistance(self, current_text, writing_context):
        """实时写作辅助"""
        assistance_suggestions = {}
        
        # 语法和拼写检查
        grammar_check = self._check_grammar_and_spelling(current_text)
        if grammar_check['issues_found']:
            assistance_suggestions['grammar'] = grammar_check['suggestions']
        
        # 风格优化建议
        style_suggestions = self._suggest_style_improvements(current_text, writing_context)
        if style_suggestions:
            assistance_suggestions['style'] = style_suggestions
        
        # 内容扩展建议
        expansion_ideas = self._suggest_content_expansion(current_text, writing_context)
        if expansion_ideas:
            assistance_suggestions['expansion'] = expansion_ideas
        
        # 结构优化建议
        structure_advice = self._suggest_structure_improvements(current_text, writing_context)
        if structure_advice:
            assistance_suggestions['structure'] = structure_advice
        
        return assistance_suggestions
    
    def advanced_content_generation(self, topic, requirements, style_preference):
        """高级内容生成"""
        try:
            # 分析需求
            requirement_analysis = self._analyze_content_requirements(topic, requirements)
            
            # 生成内容大纲
            content_outline = self._generate_content_outline(topic, requirement_analysis)
            
            # 分章节生成内容
            generated_content = {}
            for section in content_outline['sections']:
                section_content = self._generate_section_content(
                    section, requirement_analysis, style_preference
                )
                generated_content[section['title']] = section_content
            
            # 优化内容连贯性
            optimized_content = self._optimize_content_coherence(generated_content)
            
            return {
                'outline': content_outline,
                'content': optimized_content,
                'total_length': self._calculate_total_length(optimized_content),
                'readability_score': self._calculate_readability(optimized_content)
            }
            
        except Exception as e:
            return {'error': f'内容生成失败: {str(e)}'}

class DataAnalysisPluginSuite:
    """数据分析插件套件"""
    
    def __init__(self):
        self.analysis_tools = {
            '数据清洗': [
                '重复值智能处理',
                '缺失值多种填充',
                '异常值检测处理',
                '数据格式标准化'
            ],
            '统计分析': [
                '描述性统计分析',
                '相关性分析矩阵',
                '回归分析工具',
                '假设检验套件'
            ],
            '预测建模': [
                '时间序列预测',
                '机器学习集成',
                '深度学习支持',
                '模型评估工具'
            ],
            '可视化增强': [
                '高级图表类型',
                '交互式仪表板',
                '动态数据透视',
                '自定义可视化'
            ]
        }
    
    def perform_advanced_analysis(self, data_range, analysis_type, parameters):
        """执行高级数据分析"""
        analysis_methods = {
            'cluster_analysis': self._perform_cluster_analysis,
            'time_series_forecast': self._perform_time_series_forecast,
            'regression_modeling': self._perform_regression_analysis,
            'anomaly_detection': self._detect_anomalies
        }
        
        analysis_function = analysis_methods.get(analysis_type)
        if not analysis_function:
            raise ValueError(f"不支持的分析类型: {analysis_type}")
        
        # 数据预处理
        preprocessed_data = self._preprocess_data(data_range, analysis_type)
        
        # 执行分析
        analysis_result = analysis_function(preprocessed_data, parameters)
        
        # 结果解释
        interpretation = self._interpret_analysis_results(analysis_result, analysis_type)
        
        # 可视化输出
        visualization = self._create_visualization(analysis_result, analysis_type)
        
        return {
            'analysis_type': analysis_type,
            'input_data_summary': self._summarize_input_data(data_range),
            'results': analysis_result,
            'interpretation': interpretation,
            'visualization': visualization,
            'confidence_metrics': self._calculate_confidence_metrics(analysis_result)
        }
    
    def create_interactive_dashboard(self, data_sources, dashboard_layout, interactive_elements):
        """创建交互式仪表板"""
        dashboard_components = {}
        
        # 处理数据源
        processed_data = {}
        for source_name, data_config in data_sources.items():
            source_data = self._process_data_source(data_config)
            processed_data[source_name] = source_data
        
        # 创建可视化组件
        for component_name, component_config in dashboard_layout.items():
            component_type = component_config['type']
            data_source = processed_data[component_config['data_source']]
            
            visualization_component = self._create_visualization_component(
                component_type, data_source, component_config
            )
            dashboard_components[component_name] = visualization_component
        
        # 添加交互功能
        interactive_dashboard = self._add_interactive_features(
            dashboard_components, interactive_elements
        )
        
        # 优化布局和性能
        optimized_dashboard = self._optimize_dashboard_performance(interactive_dashboard)
        
        return {
            'dashboard': optimized_dashboard,
            'data_sources': list(data_sources.keys()),
            'components': list(dashboard_components.keys()),
            'performance_metrics': self._measure_dashboard_performance(optimized_dashboard)
        }

class DataCleaningPlugin:
    """数据清洗与转换插件"""
    
    def __init__(self):
        self.cleaning_operations = {
            '文本处理': [
                '去除多余空格',
                '大小写标准化',
                '字符编码转换',
                '文本模式提取'
            ],
            '数值处理': [
                '异常值处理',
                '数据标准化',
                '数值格式转换',
                '缺失值插补'
            ],
            '日期时间': [
                '日期格式统一',
                '时区转换',
                '日期计算',
                '时间序列重采样'
            ],
            '分类数据': [
                '类别编码',
                '独热编码',
                '类别合并',
                '稀有类别处理'
            ]
        }
    
    def intelligent_data_cleaning(self, data_range, auto_detect=True):
        """智能数据清洗"""
        try:
            # 数据质量评估
            quality_report = self._assess_data_quality(data_range)
            
            cleaning_steps = []
            
            if auto_detect:
                # 自动检测并修复问题
                auto_cleaning_plan = self._generate_auto_cleaning_plan(quality_report)
                cleaning_steps.extend(auto_cleaning_plan)
            else:
                # 基于用户配置的清洗
                manual_cleaning_plan = self._get_manual_cleaning_preferences()
                cleaning_steps.extend(manual_cleaning_plan)
            
            # 执行清洗步骤
            cleaned_data = data_range
            execution_log = []
            
            for step in cleaning_steps:
                step_result = self._execute_cleaning_step(cleaned_data, step)
                cleaned_data = step_result['cleaned_data']
                execution_log.append({
                    'step': step['operation'],
                    'changes': step_result['changes_made'],
                    'impact': step_result['quality_impact']
                })
            
            # 验证清洗结果
            final_quality = self._assess_data_quality(cleaned_data)
            quality_improvement = self._calculate_quality_improvement(
                quality_report, final_quality
            )
            
            return {
                'original_quality': quality_report,
                'final_quality': final_quality,
                'quality_improvement': quality_improvement,
                'cleaning_steps_applied': execution_log,
                'cleaned_data': cleaned_data
            }
            
        except Exception as e:
            return {'error': f'数据清洗失败: {str(e)}'}
    
    def batch_data_transformation(self, transformation_pipeline, input_files):
        """批量数据转换"""
        transformation_results = {}
        
        for file_path in input_files:
            try:
                # 加载数据
                data = self._load_data_file(file_path)
                
                # 应用转换管道
                transformed_data = data
                transformation_log = []
                
                for transformation in transformation_pipeline:
                    step_result = self._apply_transformation(transformed_data, transformation)
                    transformed_data = step_result['transformed_data']
                    transformation_log.append({
                        'transformation': transformation['name'],
                        'parameters': transformation.get('parameters', {}),
                        'result': step_result['summary']
                    })
                
                # 保存转换结果
                output_path = self._save_transformed_data(transformed_data, file_path)
                
                transformation_results[file_path] = {
                    'status': 'success',
                    'output_path': output_path,
                    'transformations_applied': transformation_log,
                    'data_summary': self._summarize_data(transformed_data)
                }
                
            except Exception as e:
                transformation_results[file_path] = {
                    'status': 'failed',
                    'error': str(e)
                }
        
        return transformation_results

class PresentationDesignPlugin:
    """演示设计美化插件"""
    
    def __init__(self):
        self.design_capabilities = {
            '智能排版': [
                '自动布局优化',
                '文字图片智能对齐',
                '色彩搭配建议',
                '字体组合推荐'
            ],
            '动画增强': [
                '平滑过渡动画',
                '对象入场效果',
                '交互式动画',
                '时间轴精确控制'
            ],
            '图表美化': [
                '数据图表样式库',
                '信息图表模板',
                '动态图表生成',
                '图表动画效果'
            ],
            '模板应用': [
                '智能模板推荐',
                '多模板混合应用',
                '自定义模板库',
                '品牌模板管理'
            ]
        }
    
    def auto_design_presentation(self, content_outline, design_style):
        """自动设计演示文稿"""
        try:
            # 分析内容结构
            structure_analysis = self._analyze_content_structure(content_outline)
            
            # 选择合适的设计模板
            template_recommendations = self._recommend_templates(structure_analysis, design_style)
            selected_template = template_recommendations[0]  # 选择最佳推荐
            
            # 应用模板并填充内容
            designed_presentation = self._apply_template_and_content(
                selected_template, content_outline
            )
            
            # 优化视觉设计
            optimized_design = self._optimize_visual_design(designed_presentation, design_style)
            
            # 添加过渡和动画
            animated_presentation = self._add_transitions_and_animations(optimized_design)
            
            # 生成演讲者备注
            speaker_notes = self._generate_speaker_notes(animated_presentation, content_outline)
            
            return {
                'presentation': animated_presentation,
                'design_style': design_style,
                'template_used': selected_template['name'],
                'speaker_notes': speaker_notes,
                'design_quality_score': self._evaluate_design_quality(animated_presentation)
            }
            
        except Exception as e:
            return {'error': f'自动设计失败: {str(e)}'}
    
    def batch_slide_formatting(self, presentation, formatting_rules):
        """批量幻灯片格式化"""
        formatting_results = {}
        
        for slide in presentation.Slides:
            slide_index = slide.SlideIndex
            
            try:
                # 分析当前幻灯片布局
                layout_analysis = self._analyze_slide_layout(slide)
                
                # 应用格式规则
                formatted_slide = self._apply_formatting_rules(slide, formatting_rules, layout_analysis)
                
                # 验证格式应用
                format_verification = self._verify_formatting_application(formatted_slide, formatting_rules)
                
                formatting_results[slide_index] = {
                    'status': 'success',
                    'layout_changes': format_verification['layout_changes'],
                    'style_updates': format_verification['style_updates'],
                    'visual_improvement': format_verification['improvement_score']
                }
                
            except Exception as e:
                formatting_results[slide_index] = {
                    'status': 'failed',
                    'error': str(e)
                }
        
        # 整体一致性检查
        consistency_check = self._check_presentation_consistency(presentation)
        formatting_results['consistency_report'] = consistency_check
        
        return formatting_results

class AdvancedAnimationPlugin:
    """高级动画与交互插件"""
    
    def __init__(self):
        self.animation_types = {
            '入场动画': [
                '淡入淡出',
                '飞入效果',
                '缩放进入',
                '旋转出现'
            ],
            '强调动画': [
                '脉冲效果',
                '颜色变化',
                '大小调整',
                '路径移动'
            ],
            '退出动画': [
                '淡出消失',
                '飞出效果',
                '缩放退出',
                '旋转消失'
            ],
            '路径动画': [
                '直线运动',
                '曲线路径',
                '自定义轨迹',
                '物理模拟'
            ]
        }
    
    def create_advanced_animation_sequence(self, slide_objects, animation_plan):
        """创建高级动画序列"""
        animation_timeline = []
        current_time = 0
        
        for animation_step in animation_plan:
            # 配置动画参数
            animation_config = self._configure_animation(animation_step)
            
            # 创建动画效果
            animation_effect = self._create_animation_effect(
                animation_step['object'],
                animation_config
            )
            
            # 设置时间安排
            time_schedule = {
                'start_time': current_time,
                'duration': animation_config['duration'],
                'delay': animation_config.get('delay', 0)
            }
            
            animation_timeline.append({
                'effect': animation_effect,
                'schedule': time_schedule,
                'object': animation_step['object'],
                'type': animation_step['type']
            })
            
            # 更新时间线
            current_time += animation_config['duration'] + animation_config.get('delay', 0)
        
        # 优化动画性能
        optimized_timeline = self._optimize_animation_performance(animation_timeline)
        
        return {
            'timeline': optimized_timeline,
            'total_duration': current_time,
            'object_count': len(slide_objects),
            'performance_metrics': self._calculate_animation_performance(optimized_timeline)
        }
    
    def add_interactive_elements(self, presentation, interactive_config):
        """添加交互元素"""
        interactive_features = {}
        
        # 添加超链接和动作
        if interactive_config.get('add_hyperlinks', False):
            hyperlinks = self._add_smart_hyperlinks(presentation, interactive_config['hyperlink_rules'])
            interactive_features['hyperlinks'] = hyperlinks
        
        # 添加触发器动画
        if interactive_config.get('add_triggers', False):
            triggers = self._add_animation_triggers(presentation, interactive_config['trigger_config'])
            interactive_features['triggers'] = triggers
        
        # 添加导航控件
        if interactive_config.get('add_navigation', False):
            navigation = self._add_navigation_controls(presentation, interactive_config['navigation_setup'])
            interactive_features['navigation'] = navigation
        
        # 添加多媒体交互
        if interactive_config.get('add_media_interaction', False):
            media_interaction = self._add_media_interaction(presentation, interactive_config['media_config'])
            interactive_features['media_interaction'] = media_interaction
        
        return {
            'interactive_features': interactive_features,
            'user_experience_score': self._evaluate_interactive_experience(presentation),
            'compatibility_check': self._check_interactive_compatibility(presentation)
        }

class BatchProcessingPlugin:
    """批量处理与自动化插件"""
    
    def __init__(self):
        self.batch_operations = {
            '文档处理': [
                '格式批量转换',
                '水印批量添加',
                '页眉页脚批量设置',
                '批量打印设置'
            ],
            '内容操作': [
                '文本批量替换',
                '图片批量处理',
                '表格批量调整',
                '样式批量应用'
            ],
            '文件管理': [
                '文件批量重命名',
                '文档批量合并',
                '批量属性设置',
                '文件夹批量处理'
            ]
        }
    
    def create_automation_workflow(self, workflow_steps, trigger_conditions):
        """创建自动化工作流"""
        workflow_definition = {
            'workflow_id': self._generate_workflow_id(),
            'name': workflow_steps.get('name', '未命名工作流'),
            'steps': [],
            'triggers': trigger_conditions,
            'created_time': datetime.now(),
            'status': 'active'
        }
        
        for step_config in workflow_steps['steps']:
            workflow_step = {
                'step_id': self._generate_step_id(),
                'action': step_config['action'],
                'parameters': step_config.get('parameters', {}),
                'conditions': step_config.get('conditions', []),
                'error_handling': step_config.get('error_handling', 'continue'),
                'timeout': step_config.get('timeout', 300)  # 默认5分钟超时
            }
            workflow_definition['steps'].append(workflow_step)
        
        # 验证工作流逻辑
        validation_result = self._validate_workflow_logic(workflow_definition)
        if not validation_result['valid']:
            raise ValueError(f"工作流验证失败: {validation_result['errors']}")
        
        # 保存工作流定义
        self._save_workflow_definition(workflow_definition)
        
        return {
            'workflow_id': workflow_definition['workflow_id'],
            'validation': validation_result,
            'estimated_duration': self._estimate_workflow_duration(workflow_definition)
        }
    
    def execute_batch_operation(self, operation_type, file_list, operation_parameters):
        """执行批量操作"""
        operation_results = {}
        
        for file_path in file_list:
            try:
                # 根据操作类型执行相应处理
                if operation_type == 'format_conversion':
                    result = self._batch_convert_format(file_path, operation_parameters)
                elif operation_type == 'content_replacement':
                    result = self._batch_replace_content(file_path, operation_parameters)
                elif operation_type == 'style_application':
                    result = self._batch_apply_style(file_path, operation_parameters)
                else:
                    raise ValueError(f"不支持的批量操作类型: {operation_type}")
                
                operation_results[file_path] = {
                    'status': 'success',
                    'result': result,
                    'processing_time': result.get('processing_time', 0)
                }
                
            except Exception as e:
                operation_results[file_path] = {
                    'status': 'failed',
                    'error': str(e),
                    'processing_time': 0
                }
        
        # 生成批量操作报告
        batch_report = self._generate_batch_operation_report(operation_results)
        
        return {
            'operation_type': operation_type,
            'total_files': len(file_list),
            'successful_operations': len([r for r in operation_results.values() if r['status'] == 'success']),
            'failed_operations': len([r for r in operation_results.values() if r['status'] == 'failed']),
            'detailed_results': operation_results,
            'summary_report': batch_report
        }

class QuickActionsPlugin:
    """快捷操作与宏录制插件"""
    
    def __init__(self):
        self.quick_action_types = {
            '文本处理': [
                '快速格式刷',
                '样式保存应用',
                '常用短语插入',
                '符号快速输入'
            ],
            '对象操作': [
                '快速对齐分布',
                '批量大小调整',
                '图层管理',
                '组合解组操作'
            ],
            '导航操作': [
                '快速页面跳转',
                '书签管理',
                '文档结构导航',
                '最近文件访问'
            ],
            '自定义操作': [
                '用户自定义快捷键',
                '操作序列录制',
                '一键完成复杂操作',
                '个性化工作流'
            ]
        }
    
    def record_macro_sequence(self, sequence_name, recording_options):
        """录制宏操作序列"""
        recording_session = {
            'session_id': self._generate_session_id(),
            'sequence_name': sequence_name,
            'start_time': datetime.now(),
            'recorded_actions': [],
            'status': 'recording'
        }
        
        # 开始录制
        self._start_recording(recording_options)
        
        # 监听用户操作
        try:
            while recording_session['status'] == 'recording':
                user_action = self._capture_user_action()
                if user_action:
                    recorded_action = self._process_captured_action(user_action)
                    recording_session['recorded_actions'].append(recorded_action)
                
                # 检查停止条件
                if self._should_stop_recording(recording_session):
                    recording_session['status'] = 'completed'
                    break
        
        except Exception as e:
            recording_session['status'] = 'error'
            recording_session['error'] = str(e)
        
        finally:
            # 停止录制
            self._stop_recording()
            
            # 优化录制的宏
            if recording_session['status'] == 'completed':
                optimized_sequence = self._optimize_recorded_sequence(recording_session)
                recording_session['optimized_actions'] = optimized_sequence
        
        return recording_session
    
    def create_custom_quick_action(self, action_name, action_sequence, trigger_method):
        """创建自定义快捷操作"""
        custom_action = {
            'action_id': self._generate_action_id(),
            'name': action_name,
            'sequence': action_sequence,
            'trigger': trigger_method,
            'created_time': datetime.now(),
            'execution_count': 0
        }
        
        # 验证操作序列
        validation = self._validate_action_sequence(action_sequence)
        if not validation['valid']:
            raise ValueError(f"操作序列验证失败: {validation['errors']}")
        
        # 注册触发器
        trigger_registration = self._register_action_trigger(custom_action)
        
        # 保存自定义操作
        self._save_custom_action(custom_action)
        
        return {
            'action_id': custom_action['action_id'],
            'validation': validation,
            'trigger_registration': trigger_registration,
            'estimated_time_saving': self._estimate_time_saving(action_sequence)
        }

class AcademicResearchPlugin:
    """学术研究专用插件"""
    
    def __init__(self):
        self.research_tools = {
            '文献管理': [
                '参考文献自动生成',
                '引文格式转换',
                '文献库同步',
                '查重检测集成'
            ],
            '数据分析': [
                '统计检验工具',
                '科研图表生成',
                '数据可视化',
                '实验结果分析'
            ],
            '论文写作': [
                '学术模板库',
                '结构检查工具',
                '术语一致性检查',
                '投稿格式检查'
            ],
            '协作研究': [
                '版本控制集成',
                '同行评审工具',
                '研究数据共享',
                '团队写作支持'
            ]
        }
    
    def manage_research_references(self, research_paper, citation_style):
        """管理研究参考文献"""
        try:
            # 提取文档中的引用
            extracted_citations = self._extract_citations_from_document(research_paper)
            
            # 验证引用完整性
            citation_validation = self._validate_citations(extracted_citations)
            
            # 生成参考文献列表
            bibliography = self._generate_bibliography(extracted_citations, citation_style)
            
            # 检查引用一致性
            consistency_check = self._check_citation_consistency(
                research_paper, extracted_citations, bibliography
            )
            
            return {
                'extracted_citations': extracted_citations,
                'citation_validation': citation_validation,
                'bibliography': bibliography,
                'consistency_check': consistency_check,
                'suggested_improvements': self._suggest_citation_improvements(consistency_check)
            }
            
        except Exception as e:
            return {'error': f'参考文献管理失败: {str(e)}'}

class BusinessProductivityPlugin:
    """商务办公专用插件"""
    
    def __init__(self):
        self.business_tools = {
            '报告生成': [
                '商务报告模板',
                '数据自动填充',
                '图表智能生成',
                '多语言报告支持'
            ],
            '数据分析': [
                '商业智能集成',
                'KPI监控面板',
                '预测分析工具',
                '竞争对手分析'
            ],
            '协作功能': [
                '审批流程管理',
                '版本控制',
                '评论和批注',
                '任务分配跟踪'
            ],
            '合规性': [
                '文档加密保护',
                '访问权限控制',
                '审计日志',
                '合规性检查'
            ]
        }

class PluginPerformanceMonitor:
    """插件性能监控器"""
    
    def __init__(self):
        self.performance_metrics = [
            '内存使用量',
            'CPU占用率',
            '响应时间',
            '启动时间',
            '文件处理速度'
        ]
    
    def monitor_plugin_performance(self, plugin_id, monitoring_duration):
        """监控插件性能"""
        performance_data = {
            'plugin_id': plugin_id,
            'monitoring_start': datetime.now(),
            'metrics': {},
            'anomalies_detected': []
        }
        
        for metric in self.performance_metrics:
            metric_data = self._collect_metric_data(plugin_id, metric, monitoring_duration)
            performance_data['metrics'][metric] = metric_data
            
            # 检测性能异常
            anomalies = self._detect_performance_anomalies(metric_data, metric)
            if anomalies:
                performance_data['anomalies_detected'].extend(anomalies)
        
        performance_data['monitoring_end'] = datetime.now()
        performance_data['overall_health_score'] = self._calculate_health_score(performance_data)
        
        return performance_data