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<!doctype html> <html lang="en"> <head> <title>Code coverage report for services/aiService.ts</title> <meta charset="utf-8" /> <link rel="stylesheet" href="../prettify.css" /> <link rel="stylesheet" href="../base.css" /> <link rel="shortcut icon" type="image/x-icon" href="../favicon.png" /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <style type='text/css'> .coverage-summary .sorter { background-image: url(../sort-arrow-sprite.png); } </style> </head> <body> <div class='wrapper'> <div class='pad1'> <h1><a href="../index.html">All files</a> / <a href="index.html">services</a> aiService.ts</h1> <div class='clearfix'> <div class='fl pad1y space-right2'> 97.56% Statements 40/41 </div> <div class='fl pad1y space-right2'> 87.87% Branches 29/33 </div> <div class='fl pad1y space-right2'> 83.33% Functions 5/6 </div> <div class='fl pad1y space-right2'> 97.56% Lines 40/41 </div> </div> Press n or j to go to the next uncovered block, b, p or k for the previous block. 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        3x   1x 1x                     10x 10x 1x     9x 9x       5x   5x   5x                                         4x 1x 1x     3x 3x   2x 2x      </td><td class="text"><pre class="prettyprint lang-js">import 'openai/shims/node'; // Add node fetch shim import OpenAI from 'openai'; import dotenv from 'dotenv';   // Load environment variables dotenv.config();   // Define AI configuration types export interface AIConfig { temperature?: number; maxTokens?: number; topP?: number; }   // Define the base interface for all AI service implementations export interface IAIService { generateText(prompt: string, config?: AIConfig): Promise<string>; }   // Factory class to get the appropriate AI service implementation export class AIService { private static instance: IAIService;   static getInstance(): IAIService { if (!this.instance) { const provider = process.env.AI_PROVIDER?.toLowerCase() || 'openai'; switch (provider) { case 'google': this.instance = new GoogleGeminiService(); break; case 'openai': default: this.instance = new OpenAIService(); break; } console.log(`[AIService] Initialized with provider: ${provider}`); } return this.instance; }   // Main method to generate text with the configured provider static async generateText(prompt: string, config?: AIConfig): Promise<string> { return this.getInstance().generateText(prompt, config); } }   // OpenAI implementation class OpenAIService implements IAIService { private client: OpenAI; private modelName: string;   constructor() { const apiKey = process.env.OPENAI_API_KEY; if (!apiKey) { throw new Error('OpenAI API key is required. Set OPENAI_API_KEY in your environment variables.'); }   this.client = new OpenAI({ apiKey }); this.modelName = process.env.AI_MODEL || 'gpt-4'; console.log(`[OpenAIService] Initialized with model: ${this.modelName}`); }   async generateText(prompt: string, config?: AIConfig): Promise<string> { try { const response = await this.client.chat.completions.create({ model: this.modelName, messages: [{ role: 'user', content: prompt }], temperature: config?.temperature ?? 0.7, max_tokens: config?.maxTokens, top_p: config?.topP ?? 1, });   return response.choices[0]?.message?.content || ''; } catch (error) { console.error('[OpenAIService] Error generating text:', error); throw new Error(`Failed to generate text with OpenAI: ${error instanceof Error ? error.message : String(error)}`); } } }   // Google Gemini implementation class GoogleGeminiService implements IAIService { private modelName: string; private apiKey: string;   constructor() { this.apiKey = process.env.GOOGLE_API_KEY || ''; if (!this.apiKey) { throw new Error('Google API key is required. Set GOOGLE_API_KEY in your environment variables.'); } this.modelName = process.env.AI_MODEL || 'gemini-pro'; console.log(`[GoogleGeminiService] Initialized with model: ${this.modelName}`); }   async generateText(prompt: string, config?: AIConfig): Promise<string> { try { // For now using fetch directly since Google's SDK is changing frequently const url = `https://generativelanguage.googleapis.com/v1/models/${this.modelName}:generateContent?key=${this.apiKey}`; const response = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ contents: [ { parts: [ { text: prompt } ] } ], generationConfig: { temperature: config?.temperature ?? 0.7, topP: config?.topP ?? 1, maxOutputTokens: config?.maxTokens ?? 1024, } }), }); if (!response.ok) { const errorText = await response.text(); throw new Error(`Google API error: ${response.status} ${errorText}`); } const data = await response.json(); return data.candidates[0]?.content?.parts[0]?.text || ''; } catch (error) { console.error('[GoogleGeminiService] Error generating text:', error); throw new Error(`Failed to generate text with Google Gemini: ${error instanceof Error ? error.message : String(error)}`); } } } </pre></td></tr></table></pre> <div class='push'></div> </div> <div class='footer quiet pad2 space-top1 center small'> Code coverage generated by <a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a> at 2025-04-13T06:15:48.774Z </div> <script src="../prettify.js"></script> <script> window.onload = function () { prettyPrint(); }; </script> <script src="../sorter.js"></script> <script src="../block-navigation.js"></script> </body> </html>