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366 lines
12 KiB
366 lines
12 KiB
import Foundation
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/// 工具类型枚举
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public enum ToolType {
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case localFunction // 本地函数
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case mcpTool // MCP工具
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}
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/// 函数处理器协议
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public protocol FunctionHandler {
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/// 处理函数调用
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/// - Parameter arguments: 函数参数，字典格式
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/// - Returns: 函数执行结果，字符串
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func handle(arguments: [String: Any]) async throws -> String
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}
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/// 单个MCP子客户端
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/// 负责连接到一个具体的MCP服务器并管理其工具
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public class MCPSubClient {
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private let tag: String
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private let serverId: String
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private let serverUrl: String
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// 服务器提供的工具列表
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private var tools: [[String: Any]] = []
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// 工具Map列表，用于OpenAI请求
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private var toolMaps: [[String: Any]] = []
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// 是否已连接
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private var isConnectedFlag = false
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// 工具名称到工具的映射，用于快速查找
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private var toolMapping: [String: [String: Any]] = [:]
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// URL会话
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private lazy var urlSession: URLSession = {
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let config = URLSessionConfiguration.default
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config.timeoutIntervalForRequest = 30
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config.timeoutIntervalForResource = 30
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return URLSession(configuration: config)
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}()
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public init(serverId: String, serverUrl: String) {
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self.serverId = serverId
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self.serverUrl = serverUrl
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self.tag = "MCPSubClient[\(serverId)]"
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print("\(tag) 初始化，URL: \(serverUrl)")
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}
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/// 连接到MCP服务器(通过SSE)
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/// - Returns: 是否连接成功
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public func connect() async -> Bool {
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do {
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print("\(tag) 开始连接服务器: \(serverUrl)")
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// 这里应该实现实际的SSE连接逻辑
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// 由于iOS没有直接的SSE库，我们可以使用URLSession来模拟
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// 或者使用第三方库如EventSource
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// 模拟连接成功并获取工具列表
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await processToolsList()
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isConnectedFlag = true
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print("\(tag) 连接成功，可用工具: \(tools.count)个")
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return true
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} catch {
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print("\(tag) 连接失败: \(error.localizedDescription)")
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return false
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}
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}
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/// 处理工具列表
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private func processToolsList() async {
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// 这里应该从MCP服务器获取实际的工具列表
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// 目前先模拟一些基本工具
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tools = []
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// 更新工具映射
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toolMapping.removeAll()
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for tool in tools {
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if let name = tool["name"] as? String {
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toolMapping[name] = tool
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}
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}
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// 更新工具Map列表
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updateToolMaps()
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print("\(tag) 成功处理 \(tools.count) 个工具")
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}
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/// 更新工具Map列表，用于OpenAI请求
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/// 将MCP工具转换为OpenAI函数调用格式
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private func updateToolMaps() {
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toolMaps.removeAll()
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for tool in tools {
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guard let name = tool["name"] as? String,
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let description = tool["description"] as? String else {
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continue
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}
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let functionMap: [String: Any] = [
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"name": name,
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"description": description,
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"parameters": [
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"type": "object",
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"properties": [:],
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"required": []
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]
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]
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toolMaps.append([
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"type": "function",
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"function": functionMap
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])
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}
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print("\(tag) 更新工具映射完成，共 \(toolMaps.count) 个工具")
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}
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/// 获取工具Map列表，用于OpenAI请求
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public func getToolMaps() -> [[String: Any]] {
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return toolMaps
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}
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/// 获取可用的工具列表
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public func getTools() -> [[String: Any]] {
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return tools
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}
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/// 检查是否包含指定工具
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public func containsTool(name: String) -> Bool {
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return toolMapping.keys.contains(name)
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}
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/// 调用工具
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public func callTool(name: String, arguments: [String: Any]) async throws -> [String: Any] {
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guard isConnectedFlag else {
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print("\(tag) 未连接到服务器")
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return ["context": "未连接到MCP服务器"]
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}
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guard containsTool(name: name) else {
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print("\(tag) 此客户端不包含工具: \(name)")
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throw OpenAIException("工具不存在: \(name)")
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}
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// 这里应该实现实际的工具调用逻辑
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// 目前先返回模拟结果
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return [
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"name": name,
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"context": "工具调用结果: \(name)"
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]
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}
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/// 检查是否已连接
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public func isConnected() -> Bool {
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return isConnectedFlag
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}
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/// 关闭连接
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public func close() {
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isConnectedFlag = false
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print("\(tag) 已关闭MCP服务器连接")
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}
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}
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/// MCP客户端，用于连接Model Context Protocol服务器和管理本地函数
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public class MCPClient {
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private let tag = "MCPClient"
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// 本地函数Map，函数名 -> 处理器
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private var localFunctions: [String: FunctionHandler] = [:]
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// 本地函数定义Map，函数名 -> 定义
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private var localFunctionDefs: [String: String] = [:]
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// 子客户端列表，每个连接一个MCP服务器
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private var subClients: [String: MCPSubClient] = [:]
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// 是否已连接
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private var isConnectedFlag = false
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// 系统功能处理器
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private var systemFunctionHandler: SystemFunctionHandler?
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public init() {
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// 初始化系统功能处理器
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systemFunctionHandler = SystemFunctionHandler()
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initializeVoiceFunctions()
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}
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/// 初始化语音功能处理器
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private func initializeVoiceFunctions() {
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do {
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// 使用SystemFunctionHandler注册所有功能
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systemFunctionHandler?.registerAllFunctions(client: self)
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print("\(tag) 语音功能初始化完成")
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} catch {
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print("\(tag) 语音功能初始化失败: \(error.localizedDescription)")
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}
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}
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/// 连接到MCP服务器(通过SSE)
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/// 直接接收完整的JSON配置字符串
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/// - Parameter mcpConfigJson: 包含mcpServers字段的JSON配置字符串
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/// - Returns: 是否连接成功
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public func connectToSSE(mcpConfigJson: String) async throws -> Bool {
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// 清除现有连接
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closeAllConnections()
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var serverMap: [String: String] = [:]
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var configLoaded = false
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// 尝试解析传入的JSON配置
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if !mcpConfigJson.isEmpty {
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do {
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guard let data = mcpConfigJson.data(using: .utf8),
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let config = try JSONSerialization.jsonObject(with: data) as? [String: Any],
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let mcpServers = config["mcpServers"] as? [String: [String: String]] else {
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throw OpenAIException("无效的MCP配置格式")
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}
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// 从服务器配置中提取URL
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for (serverId, serverConfig) in mcpServers {
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if let url = serverConfig["url"], !url.isEmpty {
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serverMap[serverId] = url
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print("\(tag) 从配置中添加服务器 [\(serverId)]: \(url)")
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}
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}
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configLoaded = !serverMap.isEmpty
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} catch {
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print("\(tag) 解析MCP配置失败: \(error.localizedDescription)")
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}
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}
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// 如果没有从配置中加载到服务器，使用默认配置
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if !configLoaded {
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print("\(tag) 使用默认MCP服务器配置")
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// 可以在这里添加默认的服务器配置
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}
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// 连接到所有服务器
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var successCount = 0
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for (serverId, serverUrl) in serverMap {
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let subClient = MCPSubClient(serverId: serverId, serverUrl: serverUrl)
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let connected = await subClient.connect()
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if connected {
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subClients[serverId] = subClient
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successCount += 1
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print("\(tag) 成功连接到服务器 [\(serverId)]")
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} else {
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print("\(tag) 连接服务器失败 [\(serverId)]")
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}
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}
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isConnectedFlag = successCount > 0
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print("\(tag) MCP客户端连接完成，成功连接 \(successCount)/\(serverMap.count) 个服务器")
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return isConnectedFlag
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}
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/// 关闭所有连接
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private func closeAllConnections() {
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for (_, subClient) in subClients {
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subClient.close()
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}
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subClients.removeAll()
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isConnectedFlag = false
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}
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/// 获取工具Map列表，用于OpenAI请求
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public func getToolMaps() -> [[String: Any]] {
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var allToolMaps: [[String: Any]] = []
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// 添加所有子客户端的工具
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for (_, subClient) in subClients {
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allToolMaps.append(contentsOf: subClient.getToolMaps())
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}
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// 添加本地函数
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for (name, _) in localFunctions {
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if let def = localFunctionDefs[name],
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let data = def.data(using: .utf8),
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let functionDef = try? JSONSerialization.jsonObject(with: data) as? [String: Any] {
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allToolMaps.append([
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"type": "function",
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"function": functionDef
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])
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}
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}
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return allToolMaps
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}
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/// 注册本地函数
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public func registerLocalFunction(name: String, description: String, parameters: [String: Any], handler: FunctionHandler) -> Bool {
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do {
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localFunctions[name] = handler
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let functionDef: [String: Any] = [
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"name": name,
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"description": description,
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"parameters": parameters
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]
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let jsonData = try JSONSerialization.data(withJSONObject: functionDef)
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let jsonString = String(data: jsonData, encoding: .utf8) ?? ""
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localFunctionDefs[name] = jsonString
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print("\(tag) 成功注册本地函数: \(name)")
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return true
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} catch {
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print("\(tag) 注册本地函数失败: \(error.localizedDescription)")
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return false
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}
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}
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/// 调用工具
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public func callTool(name: String, arguments: [String: Any]) async throws -> [String: Any] {
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// 首先检查是否是本地函数
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if let handler = localFunctions[name] {
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do {
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let result = try await handler.handle(arguments: arguments)
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return ["context": result]
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} catch {
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throw OpenAIException("本地函数调用失败: \(error.localizedDescription)")
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}
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}
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// 然后检查MCP工具
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for (_, subClient) in subClients {
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if subClient.containsTool(name: name) {
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return try await subClient.callTool(name: name, arguments: arguments)
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}
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}
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throw OpenAIException("未找到工具: \(name)")
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}
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/// 解析JSON参数
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public func parseJsonArguments(_ argumentsJson: String) throws -> [String: Any] {
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guard let data = argumentsJson.data(using: .utf8),
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let arguments = try? JSONSerialization.jsonObject(with: data) as? [String: Any] else {
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return [:]
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}
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return arguments
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}
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/// 检查是否已连接
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public func isConnected() -> Bool {
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return isConnectedFlag || !localFunctions.isEmpty
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}
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/// 关闭连接
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public func close() {
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closeAllConnections()
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localFunctions.removeAll()
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localFunctionDefs.removeAll()
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print("\(tag) 已关闭MCP客户端")
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}
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}
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