378 lines
11 KiB
JavaScript
378 lines
11 KiB
JavaScript
/**
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* API客户端 - 处理与AI服务的交互
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*/
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class APIClient {
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constructor() {
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this.config = {
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url: '',
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key: '',
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model: ''
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};
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this.promptMap = {};
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this.promptFiles = {
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canvas: 'prompts/canvas-prompt.txt',
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swot: 'prompts/swot-prompt.txt',
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echarts: 'prompts/echarts-prompt.txt'
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};
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this.promptFallbacks = {
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canvas: '你是一个专业的产品战略分析师，擅长创建产品画布。',
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swot: '你是一个专业的商业战略分析师，擅长进行SWOT分析。',
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echarts:
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'你是一个资深的数据可视化专家，精通将自然语言需求转化为 ECharts 配置对象，请输出结构化 JSON option。',
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default:
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'你是一个可靠的智能助手，请直接回答用户的问题并提供结构化输出。'
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};
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this.loadConfig();
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this.preloadPrompts(Object.keys(this.promptFiles));
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}
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// 加载API配置
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loadConfig() {
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const savedConfig = Utils.storage.get('apiConfig');
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if (savedConfig) {
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this.config = { ...this.config, ...savedConfig };
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}
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}
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preloadPrompts(keys = []) {
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keys.forEach((key) => {
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this.ensurePrompt(key).catch((error) =>
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console.warn(`预加载提示词 ${key} 失败:`, error)
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);
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});
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}
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async ensurePrompt(promptKey) {
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if (!promptKey) return '';
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if (this.promptMap[promptKey]) {
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return this.promptMap[promptKey];
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}
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const prompt = await this.fetchPrompt(promptKey);
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this.promptMap[promptKey] = prompt;
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return prompt;
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}
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async fetchPrompt(promptKey) {
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const filePath = this.promptFiles[promptKey];
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const fallback =
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this.promptFallbacks[promptKey] ||
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'你是一个可靠的智能助手，请直接回答用户问题。';
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if (!filePath) {
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console.warn(`未找到提示词 ${promptKey} 对应的文件配置`);
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return fallback;
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}
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try {
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const response = await fetch(filePath);
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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const text = await response.text();
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return text.trim() || fallback;
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} catch (error) {
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console.warn(`加载提示词 ${promptKey} 失败:`, error);
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return fallback;
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}
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}
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// 保存API配置
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saveConfig(config) {
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this.config = { ...this.config, ...config };
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return Utils.storage.set('apiConfig', this.config);
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}
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// 获取当前配置
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getConfig() {
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return { ...this.config };
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}
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// 验证配置是否完整
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isConfigValid() {
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return this.config.url && this.config.key && this.config.model;
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}
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// 测试API连接
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async testConnection() {
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if (!this.isConfigValid()) {
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throw new Error('API配置不完整，请填写所有字段');
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}
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try {
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const response = await this.makeRequest([
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{ role: 'user', content: '测试连接' }
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], 5);
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return { success: true, data: response };
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} catch (error) {
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throw new Error(`连接测试失败: ${error.message}`);
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}
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}
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async buildMessagesForModule(manifest, userMessage, contextMessages = []) {
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const prompt =
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(manifest && manifest.promptKey
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? await this.ensurePrompt(manifest.promptKey)
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: null) || this.promptFallbacks.default;
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return [
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{ role: 'system', content: prompt },
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...contextMessages,
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{ role: 'user', content: userMessage }
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];
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}
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async generateModuleCompletion(
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manifest,
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userMessage,
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contextMessages = [],
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options = {}
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) {
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const messages = await this.buildMessagesForModule(
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manifest,
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userMessage,
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contextMessages
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);
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return this.sendChatMessage(messages, options);
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}
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async generateModuleStream(
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manifest,
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userMessage,
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contextMessages = [],
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onChunk,
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onComplete,
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options = {}
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) {
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const messages = await this.buildMessagesForModule(
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manifest,
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userMessage,
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contextMessages
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);
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return this.sendChatMessageStream(messages, options, onChunk, onComplete);
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}
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// 发送聊天请求
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async sendChatMessage(messages, options = {}) {
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if (!this.isConfigValid()) {
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throw new Error('API配置不完整，请先配置API设置');
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}
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const maxTokens = options.maxTokens || 2000;
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const temperature = options.temperature || 0.7;
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try {
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const response = await this.makeRequest(messages, maxTokens, temperature);
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return response;
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} catch (error) {
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throw new Error(`API请求失败: ${error.message}`);
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}
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}
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// 核心请求方法
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async makeRequest(messages, maxTokens, temperature = 0.7) {
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const requestBody = {
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model: this.config.model,
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messages: messages,
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max_tokens: maxTokens,
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temperature: temperature
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};
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const response = await fetch(this.config.url, {
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${this.config.key}`,
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(requestBody)
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});
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if (!response.ok) {
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const errorData = await response.json().catch(() => ({}));
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throw new Error(errorData.error?.message || `HTTP ${response.status}: ${response.statusText}`);
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}
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const data = await response.json();
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if (!data.choices || !data.choices.length || !data.choices[0].message) {
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throw new Error('API返回数据格式异常');
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}
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return data.choices[0].message.content;
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}
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// 生成产品画布的专用方法
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async generateProductCanvas(userRequest, context = []) {
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return this.generateModuleCompletion(
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{ promptKey: 'canvas' },
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userRequest,
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context,
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{ maxTokens: 18000 }
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);
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}
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// 生成SWOT分析的专用方法
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async generateSWOTAnalysis(userRequest, context = []) {
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return this.generateModuleCompletion(
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{ promptKey: 'swot' },
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userRequest,
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context,
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{ maxTokens: 18000 }
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);
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}
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// 流式生成产品画布
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async generateProductCanvasStream(userRequest, context = [], onChunk, onComplete) {
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return this.generateModuleStream(
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{ promptKey: 'canvas' },
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userRequest,
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context,
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onChunk,
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onComplete,
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{ maxTokens: 13000 }
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);
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}
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// 流式生成SWOT分析
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async generateSWOTAnalysisStream(userRequest, context = [], onChunk, onComplete) {
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return this.generateModuleStream(
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{ promptKey: 'swot' },
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userRequest,
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context,
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onChunk,
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onComplete,
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{ maxTokens: 13000 }
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);
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}
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// 流式发送聊天请求
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async sendChatMessageStream(messages, options = {}, onChunk, onComplete) {
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if (!this.isConfigValid()) {
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throw new Error('API配置不完整，请先配置API设置');
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}
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const maxTokens = options.maxTokens || 2000;
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const temperature = options.temperature || 0.7;
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const stream = true;
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const requestBody = {
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model: this.config.model,
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messages: messages,
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max_tokens: maxTokens,
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temperature: temperature,
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stream: stream
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};
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const url = this.config.url.replace('/chat/completions', '/chat/completions');
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try {
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return Utils.createStreamRequest(
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url,
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{
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${this.config.key}`,
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(requestBody)
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},
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onChunk,
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onComplete
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);
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} catch (error) {
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throw new Error(`流式API请求失败: ${error.message}`);
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}
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}
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// 重新生成响应
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async regenerateResponse(messageId, conversationHistory) {
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// 找到指定消息ID之前的所有对话历史
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const contextMessages = conversationHistory
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.filter(msg => msg.id <= messageId)
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.map(msg => ({
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role: msg.type === 'user' ? 'user' : 'assistant',
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content: msg.content
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}));
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if (contextMessages.length === 0) {
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throw new Error('没有找到有效的对话上下文');
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}
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// 移除最后一条消息（需要重新生成的消息）
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if (contextMessages.length > 0 && contextMessages[contextMessages.length - 1].role === 'assistant') {
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contextMessages.pop();
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}
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// 根据当前模式选择相应的生成方法
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const lastUserMessage = contextMessages.filter(msg => msg.role === 'user').pop();
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if (!lastUserMessage) {
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throw new Error('没有找到用户消息');
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}
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const activeModuleId = Utils.storage.get('tool-engine:activeModuleId', 'product-canvas');
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const mode = activeModuleId === 'swot' ? 'swot' : 'canvas';
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if (mode === 'canvas') {
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return await this.generateProductCanvas(lastUserMessage.content, contextMessages.slice(0, -1));
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} else {
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return await this.generateSWOTAnalysis(lastUserMessage.content, contextMessages.slice(0, -1));
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}
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}
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// 模拟API响应（用于测试）
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simulateAPIResponse(userMessage, mode = 'canvas') {
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return new Promise((resolve) => {
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setTimeout(() => {
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const mockResponses = [
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`好的！我为您生成了一个${mode === 'canvas' ? '产品画布' : 'SWOT分析'}
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\`\`\`svg
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<svg width="600" height="400" xmlns="http://www.w3.org/2000/svg">
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<defs>
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<linearGradient id="grad1" x1="0%" y1="0%" x2="100%" y2="100%">
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<stop offset="0%" style="stop-color:#667eea;stop-opacity:1" />
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<stop offset="100%" style="stop-color:#764ba2;stop-opacity:1" />
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</linearGradient>
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</defs>
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<rect width="100%" height="100%" fill="#f8f9fa"/>
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<rect x="50" y="50" width="500" height="300" fill="url(#grad1)" rx="10"/>
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<text x="300" y="200" text-anchor="middle" font-size="24" fill="white" font-weight="bold">
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这是${mode === 'canvas' ? '产品画布' : 'SWOT分析'}示例SVG
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</text>
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<circle cx="150" cy="150" r="40" fill="#ffffff" opacity="0.3"/>
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<circle cx="450" cy="250" r="30" fill="#ffffff" opacity="0.3"/>
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</svg>
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\`\`\`
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包含了关键要素和模块。点击上方标签可在右侧查看详细图表。`,
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`已经为您调整完成！
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\`\`\`svg
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<svg width="600" height="400" xmlns="http://www.w3.org/2000/svg">
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<defs>
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<linearGradient id="grad2" x1="0%" y1="0%" x2="100%" y2="100%">
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<stop offset="0%" style="stop-color:#f59e0b;stop-opacity:1" />
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<stop offset="100%" style="stop-color:#ef4444;stop-opacity:1" />
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</linearGradient>
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</defs>
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<rect width="100%" height="100%" fill="#fff"/>
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<rect x="75" y="75" width="450" height="250" fill="url(#grad2)" rx="15"/>
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<text x="300" y="200" text-anchor="middle" font-size="28" fill="white" font-weight="bold">
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${mode === 'canvas' ? '优化后的产品画布' : '优化后的SWOT分析'}
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</text>
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<rect x="100" y="120" width="80" height="60" fill="#ffffff" opacity="0.2" rx="5"/>
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<rect x="420" y="220" width="80" height="60" fill="#ffffff" opacity="0.2" rx="5"/>
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</svg>
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\`\`\`
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采用了更加鲜明的色彩组合，希望您满意！`
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];
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const response = mockResponses[Math.floor(Math.random() * mockResponses.length)];
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resolve(response);
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}, 1000 + Math.random() * 1000); // 1-2秒的随机延迟
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});
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}
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}
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// 创建全局API客户端实例
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window.apiClient = new APIClient();
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