/**
 * GeminiService - WidgeTDC's Neural Core
 * =====================================
 * Native Google Gemini integration for Docker-compatible AI operations.
 * This replaces CLI-based AI calls with direct API access.
 */

import { GoogleGenerativeAI, GenerativeModel } from '@google/generative-ai';

interface GeminiConfig {
  model: string;
  temperature?: number;
  maxOutputTokens?: number;
}

interface ThinkRequest {
  prompt: string;
  context?: string;
  systemInstruction?: string;
}

export class GeminiService {
  private genAI!: GoogleGenerativeAI;
  private model!: GenerativeModel;
  private initialized: boolean = false;
  private readonly defaultConfig: GeminiConfig = {
    model: 'gemini-2.0-flash',
    temperature: 0.7,
    maxOutputTokens: 4096
  };

  constructor() {
    const apiKey = process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY;
    
    if (!apiKey) {
      console.warn('⚠️ GEMINI_API_KEY not found - AI features will be disabled');
      this.initialized = false;
      return;
    }
    
    try {
      this.genAI = new GoogleGenerativeAI(apiKey);
      this.model = this.genAI.getGenerativeModel({ 
        model: this.defaultConfig.model,
        generationConfig: {
          temperature: this.defaultConfig.temperature,
          maxOutputTokens: this.defaultConfig.maxOutputTokens
        }
      });
      this.initialized = true;
      console.log('🧠 Gemini Service Initialized (Model: gemini-2.0-flash)');
    } catch (error) {
      console.error('❌ Failed to initialize Gemini:', error);
      this.initialized = false;
    }
  }

  /**
   * Check if the service is ready
   */
  public isReady(): boolean {
    return this.initialized;
  }

  /**
   * Generate a thought/response from Gemini
   */
  public async generateThought(prompt: string): Promise<string> {
    if (!this.initialized) {
      return '[NEURAL OFFLINE]: Gemini service not initialized. Check GEMINI_API_KEY.';
    }

    try {
      const result = await this.model.generateContent(prompt);
      const response = result.response;
      const text = response.text();
      return text;
    } catch (error) {
      console.error('🔴 Gemini Error:', error);
      return `[NEURAL FAILURE]: ${error instanceof Error ? error.message : 'Unknown error'}`;
    }
  }

  /**
   * Advanced thinking with context and system instructions
   */
  public async think(request: ThinkRequest): Promise<string> {
    if (!this.initialized) {
      return '[NEURAL OFFLINE]: Gemini service not initialized.';
    }

    try {
      let fullPrompt = '';
      
      if (request.systemInstruction) {
        fullPrompt += `System: ${request.systemInstruction}\n\n`;
      }
      
      if (request.context) {
        fullPrompt += `Context:\n${request.context}\n\n`;
      }
      
      fullPrompt += `User: ${request.prompt}`;

      const result = await this.model.generateContent(fullPrompt);
      return result.response.text();
    } catch (error) {
      console.error('🔴 Gemini Think Error:', error);
      return `[NEURAL FAILURE]: ${error instanceof Error ? error.message : 'Unknown error'}`;
    }
  }

  /**
   * MCP Handler wrapper - allows Agents to call Gemini via MCP protocol
   */
  public async handleMcpRequest(args: { 
    prompt: string; 
    context?: string;
    systemInstruction?: string;
  }): Promise<{ success: boolean; response: string; model: string }> {
    console.log(`🤖 MCP AI Request: "${args.prompt.substring(0, 60)}..."`);
    
    const response = await this.think({
      prompt: args.prompt,
      context: args.context,
      systemInstruction: args.systemInstruction
    });

    return {
      success: !response.startsWith('[NEURAL'),
      response,
      model: this.defaultConfig.model
    };
  }

  /**
   * Analyze data with AI
   */
  public async analyze(data: any, question: string): Promise<string> {
    const prompt = `
Analyze the following data and answer the question.

DATA:
${JSON.stringify(data, null, 2)}

QUESTION: ${question}

Provide a clear, concise analysis.
`;
    return this.generateThought(prompt);
  }

  /**
   * Summarize text content
   */
  public async summarize(content: string, maxLength?: number): Promise<string> {
    const lengthInstruction = maxLength 
      ? `Keep the summary under ${maxLength} characters.` 
      : 'Provide a comprehensive summary.';
    
    const prompt = `
Summarize the following content. ${lengthInstruction}

CONTENT:
${content}

SUMMARY:
`;
    return this.generateThought(prompt);
  }

  /**
   * Extract structured data from text
   */
  public async extractStructured(text: string, schema: object): Promise<string> {
    const prompt = `
Extract structured data from the following text according to the schema.
Return ONLY valid JSON matching the schema.

SCHEMA:
${JSON.stringify(schema, null, 2)}

TEXT:
${text}

JSON OUTPUT:
`;
    return this.generateThought(prompt);
  }
}

// Export singleton instance
let geminiServiceInstance: GeminiService | null = null;

export function getGeminiService(): GeminiService {
  if (!geminiServiceInstance) {
    geminiServiceInstance = new GeminiService();
  }
  return geminiServiceInstance;
}

export const geminiService = new GeminiService();