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473 lines
18 KiB
473 lines
18 KiB
import Foundation
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/// OpenAI服务异常
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public class OpenAIError: Error {
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let message: String
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init(_ message: String) {
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self.message = message
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}
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}
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/// 工具调用信息
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private class ToolCallInfo {
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var id: String = ""
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var name: String = ""
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var arguments: String = ""
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var isValid: Bool {
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return !id.isEmpty && !name.isEmpty
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}
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}
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/// OpenAI服务iOS原生实现
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public class OpenAIService {
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private let TAG = "OpenAIService"
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private var baseUrl = "https://api.openai.com/v1/chat/completions"
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private var apiKey: String = ""
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private var isInitialized = false
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private var model: String = "doubao-1-5-lite-32k-250115" // 默认模型
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// 用于存储注册的函数
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private var registeredFunctions: [[String: Any]] = []
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// URL会话
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private let session: URLSession
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public init() {
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// 创建URL会话配置
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let config = URLSessionConfiguration.default
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config.timeoutIntervalForRequest = 30.0
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config.timeoutIntervalForResource = 30.0
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session = URLSession(configuration: config)
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}
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/// 创建用户消息
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public func createUserMessage(content: String) -> [String: Any] {
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return ["role": "user", "content": content]
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}
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/// 创建助手消息
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public func createAssistantMessage(content: String) -> [String: Any] {
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return ["role": "assistant", "content": content]
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}
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/// 初始化OpenAI服务
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public func initialize(apiKey: String, baseUrl: String = "", model: String = "") -> Bool {
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self.apiKey = apiKey
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if !baseUrl.isEmpty {
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self.baseUrl = baseUrl
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}
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if !model.isEmpty {
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self.model = model
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}
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isInitialized = !apiKey.isEmpty
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return isInitialized
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}
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/// 注册函数
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public func registerFunction(name: String, description: String, parameters: [String: Any]) -> Bool {
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do {
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let function: [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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// 检查是否已存在相同名称的函数
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if let existingIndex = registeredFunctions.firstIndex(where: { ($0["name"] as? String) == name }) {
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// 如果已存在，则替换
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registeredFunctions[existingIndex] = function
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} else {
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// 如果不存在，则添加
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registeredFunctions.append(function)
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}
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return true
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} catch {
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return false
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}
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}
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/// 发送消息（非流式输出）
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public func sendMessage(messages: [[String: Any]], systemPrompt: String) throws -> String {
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guard isInitialized, !apiKey.isEmpty else {
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throw OpenAIError("OpenAI服务未初始化")
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}
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// 构建完整消息，添加系统提示
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var fullMessages: [[String: Any]] = [
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["role": "system", "content": systemPrompt]
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]
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fullMessages.append(contentsOf: messages)
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// 构建请求体
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var requestDict: [String: Any] = [
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"model": model,
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"messages": fullMessages,
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"temperature": 0.7,
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"max_tokens": 2000,
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"stream": false
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]
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// 如果有注册的函数，添加到请求中
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if !registeredFunctions.isEmpty {
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var tools: [[String: Any]] = []
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for function in registeredFunctions {
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let tool: [String: Any] = [
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"type": "function",
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"function": function
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]
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tools.append(tool)
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}
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requestDict["tools"] = tools
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}
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// 将请求数据转换为JSON数据
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guard let jsonData = try? JSONSerialization.data(withJSONObject: requestDict) else {
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throw OpenAIError("无法序列化请求数据")
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}
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// 创建URL请求
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guard let url = URL(string: baseUrl) else {
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throw OpenAIError("无效的URL")
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.addValue("application/json", forHTTPHeaderField: "Content-Type")
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request.addValue("Bearer \(apiKey)", forHTTPHeaderField: "Authorization")
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request.httpBody = jsonData
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// 创建信号量用于同步请求
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let semaphore = DispatchSemaphore(value: 0)
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var responseResult: Result<String, Error> = .failure(OpenAIError("未收到响应"))
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// 执行请求
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let task = session.dataTask(with: request) { data, response, error in
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if let error = error {
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responseResult = .failure(OpenAIError("请求失败: \(error.localizedDescription)"))
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semaphore.signal()
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return
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}
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guard let httpResponse = response as? HTTPURLResponse else {
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responseResult = .failure(OpenAIError("无效的HTTP响应"))
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semaphore.signal()
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return
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}
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guard httpResponse.statusCode == 200 else {
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responseResult = .failure(OpenAIError("API调用失败: \(httpResponse.statusCode)"))
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semaphore.signal()
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return
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}
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guard let data = data else {
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responseResult = .failure(OpenAIError("响应数据为空"))
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semaphore.signal()
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return
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}
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do {
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// 解析JSON响应
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guard let jsonResponse = try JSONSerialization.jsonObject(with: data) as? [String: Any] else {
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responseResult = .failure(OpenAIError("无法解析JSON响应"))
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semaphore.signal()
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return
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}
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// 检查是否有函数调用
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if let choices = jsonResponse["choices"] as? [[String: Any]], !choices.isEmpty,
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let choice = choices.first,
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let message = choice["message"] as? [String: Any] {
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// 检查是否有工具调用
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if let toolCalls = message["tool_calls"] as? [[String: Any]], !toolCalls.isEmpty,
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let toolCall = toolCalls.first,
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let function = toolCall["function"] as? [String: Any],
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let name = function["name"] as? String,
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let arguments = function["arguments"] as? String,
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let id = toolCall["id"] as? String {
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let functionCallDict: [String: Any] = [
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"name": name,
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"arguments": arguments,
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"id": id
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]
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// 将函数调用转为JSON字符串
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if let functionCallData = try? JSONSerialization.data(withJSONObject: functionCallDict),
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let functionCallString = String(data: functionCallData, encoding: .utf8) {
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responseResult = .success(functionCallString)
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semaphore.signal()
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return
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}
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}
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// 如果没有工具调用，返回消息内容
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if let content = message["content"] as? String {
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responseResult = .success(content)
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semaphore.signal()
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return
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}
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}
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responseResult = .failure(OpenAIError("无效的响应格式"))
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semaphore.signal()
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} catch {
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responseResult = .failure(OpenAIError("解析响应时出错: \(error.localizedDescription)"))
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semaphore.signal()
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}
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}
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task.resume()
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// 等待响应完成
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_ = semaphore.wait(timeout: .distantFuture)
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// 返回结果或抛出错误
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switch responseResult {
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case .success(let result):
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return result
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case .failure(let error):
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throw error
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}
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}
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/// 发送消息（流式输出）
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public func sendMessageStream(messages: [[String: Any]], systemPrompt: String, callback: @escaping StreamCallback) {
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guard isInitialized, !apiKey.isEmpty else {
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callback.onError(OpenAIError("OpenAI服务未初始化"))
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return
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}
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// 构建完整消息，添加系统提示
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var fullMessages: [[String: Any]] = [
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["role": "system", "content": systemPrompt]
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]
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fullMessages.append(contentsOf: messages)
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// 构建请求体
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var requestDict: [String: Any] = [
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"model": model,
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"messages": fullMessages,
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"temperature": 0.7,
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"max_tokens": 2000,
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"stream": true
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]
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// 如果有注册的函数，添加到请求中
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if !registeredFunctions.isEmpty {
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var tools: [[String: Any]] = []
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for function in registeredFunctions {
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let tool: [String: Any] = [
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"type": "function",
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"function": function
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]
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tools.append(tool)
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}
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requestDict["tools"] = tools
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}
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// 将请求数据转换为JSON数据
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guard let jsonData = try? JSONSerialization.data(withJSONObject: requestDict) else {
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callback.onError(OpenAIError("无法序列化请求数据"))
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return
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}
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// 创建URL请求
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guard let url = URL(string: baseUrl) else {
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callback.onError(OpenAIError("无效的URL"))
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return
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}
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.addValue("application/json", forHTTPHeaderField: "Content-Type")
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request.addValue("Bearer \(apiKey)", forHTTPHeaderField: "Authorization")
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request.addValue("text/event-stream", forHTTPHeaderField: "Accept")
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request.httpBody = jsonData
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// 用于存储函数调用的各个部分
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var finalToolCalls: [Int: ToolCallInfo] = [:]
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// 创建数据任务
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let task = session.dataTask(with: request) { data, response, error in
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if let error = error {
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callback.onError(OpenAIError("请求失败: \(error.localizedDescription)"))
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return
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}
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guard let httpResponse = response as? HTTPURLResponse else {
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callback.onError(OpenAIError("无效的HTTP响应"))
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return
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}
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guard httpResponse.statusCode == 200 else {
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callback.onError(OpenAIError("API调用失败: \(httpResponse.statusCode)"))
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return
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}
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guard let data = data else {
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callback.onError(OpenAIError("响应数据为空"))
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return
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}
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// 处理SSE数据流
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if let text = String(data: data, encoding: .utf8) {
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let lines = text.components(separatedBy: "\n")
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for line in lines {
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if line.isEmpty { continue }
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if line.hasPrefix("data: ") {
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let dataContent = line.dropFirst(6)
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// 处理[DONE]消息
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if dataContent == "[DONE]" {
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self.processToolCalls(finalToolCalls, callback: callback)
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callback.onComplete()
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break
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}
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// 解析JSON数据
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do {
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if let data = dataContent.data(using: .utf8),
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let jsonData = try JSONSerialization.jsonObject(with: data) as? [String: Any] {
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// 处理消息内容
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if let choices = jsonData["choices"] as? [[String: Any]], !choices.isEmpty,
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let choice = choices.first {
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if let delta = choice["delta"] as? [String: Any] {
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// 处理普通文本内容
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if let content = delta["content"] as? String {
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callback.onToken(content)
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}
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// 处理工具调用（函数调用）
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if let toolCalls = delta["tool_calls"] as? [[String: Any]] {
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for toolCall in toolCalls {
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if let index = toolCall["index"] as? Int {
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// 创建或获取现有的工具调用信息
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let toolCallInfo = finalToolCalls[index] ?? ToolCallInfo()
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// 更新ID
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if let id = toolCall["id"] as? String {
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toolCallInfo.id = id
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}
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// 更新函数信息
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if let function = toolCall["function"] as? [String: Any] {
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if let name = function["name"] as? String {
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toolCallInfo.name = name
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}
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if let arguments = function["arguments"] as? String {
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toolCallInfo.arguments += arguments
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}
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}
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finalToolCalls[index] = toolCallInfo
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}
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}
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}
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}
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}
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}
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} catch {
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NSLog("解析JSON出错: \(error.localizedDescription)")
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// 忽略解析错误，继续处理其他行
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}
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}
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}
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}
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}
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task.resume()
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}
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/// 发送函数调用结果
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public func sendFunctionCallResult(
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messages: [[String: Any]],
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systemPrompt: String,
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functionCall: [String: Any],
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functionResult: String,
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callback: @escaping StreamCallback
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) {
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do {
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// 构建完整消息数组
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var fullMessages: [[String: Any]] = [
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// 添加系统提示
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["role": "system", "content": systemPrompt]
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]
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// 添加用户消息
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fullMessages.append(contentsOf: messages)
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// 获取函数相关信息
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guard let name = functionCall["name"] as? String,
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let arguments = functionCall["arguments"] as? String else {
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callback.onError(OpenAIError("函数调用信息不完整"))
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return
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}
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let id = functionCall["id"] as? String ?? "call_\(Int(Date().timeIntervalSince1970 * 1000))"
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// 添加函数调用消息
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fullMessages.append([
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"role": "assistant",
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"content": NSNull(),
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"tool_calls": [
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[
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"id": id,
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"type": "function",
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"function": [
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"name": name,
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"arguments": arguments
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]
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]
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]
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])
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// 添加函数调用结果
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fullMessages.append([
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"role": "tool",
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"content": functionResult,
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"tool_call_id": id
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])
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// 发送完整对话
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sendMessageStream(messages: fullMessages, systemPrompt: systemPrompt, callback: callback)
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} catch {
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callback.onError(OpenAIError("发送函数调用结果失败: \(error.localizedDescription)"))
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}
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}
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/// 处理工具调用（函数调用）并回调
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private func processToolCalls(_ toolCalls: [Int: ToolCallInfo], callback: StreamCallback) {
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if toolCalls.isEmpty { return }
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// 只处理第一个工具调用
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guard let firstToolCall = toolCalls.values.first, firstToolCall.isValid else { return }
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// 创建函数调用字典
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let functionCall: [String: Any] = [
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"name": firstToolCall.name,
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"arguments": firstToolCall.arguments,
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"id": firstToolCall.id
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]
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// 回调
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callback.onFunctionCall(functionCall)
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}
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/// 流式输出回调协议
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public typealias StreamCallback = (onToken: (String) -> Void,
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onComplete: () -> Void,
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onError: (Error) -> Void,
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onFunctionCall: ([String: Any]) -> Void)
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}
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