生命周期概述#
Skills 的生命周期管理涵盖了从创建到删除的整个过程。本节将详细介绍 Skills 的各个生命周期阶段及其管理方法。
生命周期阶段#
1. 创建阶段#
1.1 Skill 创建流程
Skill 创建流程#
步骤 1：需求分析#
- 明确 Skill 的目标
- 确定输入输出
- 识别关键功能
步骤 2：设计 Skill#
- 设计接口
- 规划流程
- 选择实现方式
步骤 3：实现 Skill#
- 编写代码
- 添加测试
- 编写文档
步骤 4：注册 Skill#
- 添加到 Skill 库
- 配置元数据
- 设置权限
步骤 5：测试验证#
- 功能测试
- 性能测试
- 用户测试
1.2 创建 API
pythonclass SkillManager: def __init__(self): self.skills = {} self.skill_registry = SkillRegistry() def create_skill(self, skill_definition): self.validate_definition(skill_definition) skill = self.instantiate_skill(skill_definition) skill_id = self.skill_registry.register(skill) self.save_skill(skill_id, skill) return skill_id def validate_definition(self, definition): required_fields = ["name", "version", "description"] for field in required_fields: if field not in definition: raise ValueError(f"Missing required field: {field}") def instantiate_skill(self, definition): skill_type = definition.get("type", "natural_language") if skill_type == "natural_language": return NaturalLanguageSkill(definition) elif skill_type == "example_driven": return ExampleDrivenSkill(definition) elif skill_type == "programmatic": return ProgrammaticSkill(definition) else: raise ValueError(f"Unknown skill type: {skill_type}") def save_skill(self, skill_id, skill): skill_path = self.get_skill_path(skill_id) with open(skill_path, 'w') as f: json.dump(skill.to_dict(), f, indent=2)
2. 激活阶段#
2.1 Skill 激活流程
Skill 激活流程#
步骤 1：加载 Skill#
- 读取 Skill 定义
- 解析配置
- 初始化 Skill
步骤 2：验证依赖#
- 检查依赖项
- 验证版本兼容性
- 加载依赖
步骤 3：初始化 Skill#
- 执行初始化逻辑
- 设置上下文
- 注册事件监听器
步骤 4：激活 Skill#
- 标记为活跃状态
- 启用功能
- 开始监听事件
2.2 激活 API
pythonclass SkillManager: def activate_skill(self, skill_id): skill = self.load_skill(skill_id) self.verify_dependencies(skill) skill.initialize() skill.activate() self.update_skill_status(skill_id, "active") return skill def load_skill(self, skill_id): skill_path = self.get_skill_path(skill_id) with open(skill_path, 'r') as f: skill_data = json.load(f) skill_type = skill_data["type"] if skill_type == "natural_language": skill = NaturalLanguageSkill(skill_data) elif skill_type == "example_driven": skill = ExampleDrivenSkill(skill_data) elif skill_type == "programmatic": skill = ProgrammaticSkill(skill_data) else: raise ValueError(f"Unknown skill type: {skill_type}") return skill def verify_dependencies(self, skill): dependencies = skill.get_dependencies() for dep in dependencies: if not self.is_dependency_available(dep): raise DependencyError(f"Dependency not available: {dep}") def is_dependency_available(self, dependency): pass def update_skill_status(self, skill_id, status): pass ### 3. 运行阶段 #### 3.1 Skill 执行流程 ## Skill 执行流程 ### 步骤 1：接收请求 - 接收用户请求 - 解析参数 - 验证输入 ### 步骤 2：准备执行 - 收集上下文 - 准备资源 - 初始化状态 ### 步骤 3：执行逻辑 - 执行 Skill 逻辑 - 调用工具 - 处理结果 ### 步骤 4：返回结果 - 格式化输出 - 返回结果 - 清理资源 #### 3.2 执行 API ```python class SkillExecutor: def __init__(self): self.context_manager = ContextManager() self.resource_manager = ResourceManager() def execute(self, skill, parameters): self.validate_parameters(skill, parameters) context = self.prepare_context(skill, parameters) resources = self.acquire_resources(skill, parameters) try: result = skill.execute(parameters, context) formatted_result = self.format_result(result, skill) return formatted_result finally: self.release_resources(resources) def validate_parameters(self, skill, parameters): schema = skill.get_parameter_schema() for param in schema.get("required", []): if param not in parameters: raise ValueError(f"Missing required parameter: {param}") def prepare_context(self, skill, parameters): return self.context_manager.collect_context(skill, parameters) def acquire_resources(self, skill, parameters): return self.resource_manager.acquire(skill.get_resource_requirements()) def format_result(self, result, skill): output_format = skill.get_output_format() if output_format == "json": return json.dumps(result) elif output_format == "markdown": return self.to_markdown(result) else: return result def release_resources(self, resources): self.resource_manager.release(resources) ### 4. 更新阶段 #### 4.1 Skill 更新流程 ## Skill 更新流程 ### 步骤 1：检查更新 - 检查新版本 - 验证兼容性 - 备份当前版本 ### 步骤 2：下载更新 - 下载新版本 - 验证完整性 - 解压更新 ### 步骤 3：应用更新 - 停用 Skill - 替换文件 - 迁移配置 ### 步骤 4：重新激活 - 验证更新 - 重新激活 - 测试功能 #### 4.2 更新 API ```python class SkillUpdater: def __init__(self): self.backup_manager = BackupManager() self.config_migrator = ConfigMigrator() def update_skill(self, skill_id, new_version): current_version = self.get_current_version(skill_id) if not self.should_update(current_version, new_version): return False backup = self.backup_manager.create_backup(skill_id) try: update_data = self.download_update(skill_id, new_version) self.validate_update(update_data) self.deactivate_skill(skill_id) self.apply_update(skill_id, update_data) self.migrate_config(skill_id, current_version, new_version) self.activate_skill(skill_id) self.verify_update(skill_id) return True except Exception as e: self.rollback_update(skill_id, backup) raise e def should_update(self, current_version, new_version): return self.compare_versions(current_version, new_version) < 0 def compare_versions(self, v1, v2): v1_parts = [int(x) for x in v1.split(".")] v2_parts = [int(x) for x in v2.split(".")] for a, b in zip(v1_parts, v2_parts): if a < b: return -1 elif a > b: return 1 return 0 def download_update(self, skill_id, version): # 下载更新 pass def validate_update(self, update_data): # 验证更新 pass def apply_update(self, skill_id, update_data): # 应用更新 pass def migrate_config(self, skill_id, from_version, to_version): # 迁移配置 self.config_migrator.migrate(skill_id, from_version, to_version) def verify_update(self, skill_id): # 验证更新 pass def rollback_update(self, skill_id, backup): # 回滚更新 self.backup_manager.restore_backup(skill_id, backup) ### 5. 停用阶段 #### 5.1 Skill 停用流程 ## Skill 停用流程 ### 步骤 1：停止执行 - 停止新的请求 - 完成正在执行的请求 - 等待所有操作完成 ### 步骤 2：清理资源 - 释放资源 - 关闭连接 - 清理缓存 ### 步骤 3：保存状态 - 保存当前状态 - 保存执行历史 - 保存配置 ### 步骤 4：标记为停用 - 更新状态 - 禁用功能 - 停止监听事件 #### 5.2 停用 API ```python class SkillManager: def deactivate_skill(self, skill_id): self.stop_execution(skill_id) self.wait_for_completion(skill_id) self.cleanup_resources(skill_id) self.save_state(skill_id) self.update_skill_status(skill_id, "inactive") def stop_execution(self, skill_id): skill = self.get_skill(skill_id) skill.stop() def wait_for_completion(self, skill_id): skill = self.get_skill(skill_id) skill.wait_for_completion() def cleanup_resources(self, skill_id): skill = self.get_skill(skill_id) resources = skill.get_resources() for resource in resources: resource.release() def save_state(self, skill_id): skill = self.get_skill(skill_id) state = skill.get_state() state_path = self.get_state_path(skill_id) with open(state_path, 'w') as f: json.dump(state, f) def update_skill_status(self, skill_id, status): # 更新状态 pass ### 6. 删除阶段 #### 6.1 Skill 删除流程 ## Skill 删除流程 ### 步骤 1：确认删除 - 显示删除警告 - 确认删除操作 - 检查依赖关系 ### 步骤 2：停用 Skill - 停止执行 - 清理资源 - 保存状态 ### 步骤 3：删除文件 - 删除 Skill 文件 - 删除配置文件 - 删除状态文件 ### 步骤 4：清理注册 - 从注册表移除 - 清理引用 - 更新索引 #### 6.2 删除 API ```python class SkillManager: def delete_skill(self, skill_id, force=False): # 确认删除 if not force and not self.confirm_deletion(skill_id): return False # 检查依赖 dependents = self.get_dependents(skill_id) if dependents and not force: raise DependencyError(f"Skill has dependents: {dependents}") # 停用 Skill self.deactivate_skill(skill_id) # 删除文件 self.delete_skill_files(skill_id) # 清理注册 self.unregister_skill(skill_id) return True def confirm_deletion(self, skill_id): skill = self.get_skill(skill_id) print(f"Are you sure you want to delete skill '{skill.name}'?") response = input("Type 'yes' to confirm: ") return response.lower() == "yes" def get_dependents(self, skill_id): # 获取依赖此 Skill 的其他 Skills pass def delete_skill_files(self, skill_id): skill_path = self.get_skill_path(skill_id) config_path = self.get_config_path(skill_id) state_path = self.get_state_path(skill_id) for path in [skill_path, config_path, state_path]: if os.path.exists(path): os.remove(path) def unregister_skill(self, skill_id): self.skill_registry.unregister(skill_id) ## 状态管理 ### 1. 状态定义 ## Skill 状态 ### 状态类型 - CREATED: 已创建 - ACTIVATING: 激活中 - ACTIVE: 活跃 - DEACTIVATING: 停用中 - INACTIVE: 停用 - UPDATING: 更新中 - ERROR: 错误 - DELETED: 已删除 ### 状态转换 CREATED → ACTIVATING → ACTIVE ACTIVE → DEACTIVATING → INACTIVE ACTIVE → UPDATING → ACTIVE ACTIVE → ERROR → INACTIVE INACTIVE → DELETED
2. 状态转换#
pythonclass SkillStateMachine: def __init__(self): self.transitions = { "CREATED": ["ACTIVATING", "DELETED"], "ACTIVATING": ["ACTIVE", "ERROR"], "ACTIVE": ["DEACTIVATING", "UPDATING", "ERROR"], "DEACTIVATING": ["INACTIVE", "ERROR"], "INACTIVE": ["ACTIVATING", "DELETED"], "UPDATING": ["ACTIVE", "ERROR"], "ERROR": ["INACTIVE", "DELETED"], "DELETED": [] } def can_transition(self, from_state, to_state): return to_state in self.transitions.get(from_state, []) def transition(self, skill_id, new_state): current_state = self.get_current_state(skill_id) if not self.can_transition(current_state, new_state): raise InvalidStateTransitionError( f"Cannot transition from {current_state} to {new_state}" ) self.set_state(skill_id, new_state) def get_current_state(self, skill_id): # 获取当前状态 pass def set_state(self, skill_id, state): # 设置状态 pass ## 版本管理 ### 1. 版本控制 ```python class SkillVersionManager: def __init__(self): self.versions = {} def create_version(self, skill_id, version_number, changes): version = {
bash"id": self.generate_version_id(), "skill_id": skill_id, "version": version_number, "created_at": datetime.now(), "changes": changes, "checksum": self.calculate_checksum(skill_id) } if skill_id not in self.versions: self.versions[skill_id] = [] self.versions[skill_id].append(version) return version["id"] def get_version(self, skill_id, version_number): versions = self.versions.get(skill_id, []) for version in versions: if version["version"] == version_number: return version return None def get_latest_version(self, skill_id): versions = self.versions.get(skill_id, []) if not versions: return None return versions[-1] def list_versions(self, skill_id): return self.versions.get(skill_id, []) def rollback_to_version(self, skill_id, version_number): version = self.get_version(skill_id, version_number) if not version: raise VersionNotFoundError(version_number) self.restore_version(skill_id, version) def generate_version_id(self): return str(uuid.uuid4()) def calculate_checksum(self, skill_id): pass def restore_version(self, skill_id, version): pass
bash### 2. 变更日志 ```python class ChangeLog: def __init__(self): self.entries = [] def add_entry(self, skill_id, version, changes): entry = { "id": self.generate_entry_id(), "skill_id": skill_id, "version": version, "timestamp": datetime.now(), "changes": changes } self.entries.append(entry) return entry["id"] def get_entries(self, skill_id): return [e for e in self.entries if e["skill_id"] == skill_id] def get_entry(self, entry_id): for entry in self.entries: if entry["id"] == entry_id: return entry return None def generate_changelog(self, skill_id, from_version, to_version): entries = self.get_entries(skill_id) changelog = [] for entry in entries: version = entry["version"] if self.compare_versions(from_version, version) <= 0 and \ self.compare_versions(version, to_version) <= 0: changelog.append(entry) return changelog def generate_entry_id(self): return str(uuid.uuid4()) def compare_versions(self, v1, v2): v1_parts = [int(x) for x in v1.split(".")] v2_parts = [int(x) for x in v2.split(".")] for a, b in zip(v1_parts, v2_parts): if a < b: return -1 elif a > b: return 1 return 0 ## 依赖管理 ### 1. 依赖解析 ```python class DependencyResolver: def __init__(self): self.dependency_graph = {} def add_dependency(self, skill_id, depends_on): if skill_id not in self.dependency_graph: self.dependency_graph[skill_id] = [] if depends_on not in self.dependency_graph[skill_id]: self.dependency_graph[skill_id].append(depends_on) def resolve_dependencies(self, skill_id): visited = set() result = [] def visit(node): if node in visited: return visited.add(node) for dep in self.dependency_graph.get(node, []): visit(dep) result.append(node) visit(skill_id) return result def check_circular_dependencies(self): visited = set() rec_stack = set() def dfs(node): visited.add(node) rec_stack.add(node) for dep in self.dependency_graph.get(node, []): if dep not in visited: if dfs(dep): return True elif dep in rec_stack: return True rec_stack.remove(node) return False for node in self.dependency_graph: if node not in visited: if dfs(node): return True return False
2. 依赖安装#
pythonclass DependencyInstaller: def __init__(self): self.resolver = DependencyResolver() def install_dependencies(self, skill_id): # 解析依赖 dependencies = self.resolver.resolve_dependencies(skill_id) # 安装依赖 for dep_id in dependencies: if dep_id != skill_id: self.install_skill(dep_id) def install_skill(self, skill_id): # 安装 Skill pass def uninstall_dependencies(self, skill_id): # 查找依赖此 Skill 的其他 Skills dependents = self.get_dependents(skill_id) # 如果没有其他依赖，可以卸载 if not dependents: self.uninstall_skill(skill_id) def get_dependents(self, skill_id): # 获取依赖此 Skill 的其他 Skills pass
总结#
Skills 的生命周期管理是一个复杂而重要的过程，涉及创建、激活、运行、更新、停用和删除等多个阶段。通过有效的生命周期管理，可以确保 Skills 的稳定运行和持续改进。
在下一节中，我们将探讨 Skills 的权限控制，了解如何管理和限制 Skills 的访问权限。