import { GoogleGenAI } from "@google/genai";
import { SimulationResult, AIInsight } from "../types/index";

export const TTS_VOICES = [
  { name: 'Puck', style: 'Energetic' },
  { name: 'Charon', style: 'Calm' },
  { name: 'Kore', style: 'Professional' },
  { name: 'Fenrir', style: 'Deep' },
  { name: 'Zephyr', style: 'Friendly' }
];

export const TTS_LANGUAGES = [
  { code: 'en', name: 'English (US)' },
  { code: 'es', name: 'Spanish' },
  { code: 'fr', name: 'French' },
  { code: 'de', name: 'German' },
  { code: 'it', name: 'Italian' },
  { code: 'ja', name: 'Japanese' },
  { code: 'ko', name: 'Korean' },
  { code: 'zh', name: 'Chinese' }
];

const TEXT_MODEL = 'gemini-3-flash-preview';

/**
 * Direct call to Gemini 3 Flash. 
 * SDK rule: Fresh instantiation within the call captures the most recent process.env.API_KEY.
 */
export const callGemini = async (model: string, contents: any, config: any = {}) => {
  const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
  const response = await ai.models.generateContent({
    model: model || TEXT_MODEL,
    contents: typeof contents === 'string' ? [{ parts: [{ text: contents }] }] : contents,
    config: config,
  });
  return response;
};

export const speakText = async (text: string) => {
  return new Promise((resolve) => {
    if (!('speechSynthesis' in window)) {
      console.warn("Synthesis unsupported.");
      resolve(false);
      return;
    }
    window.speechSynthesis.cancel();
    const utterance = new SpeechSynthesisUtterance(text);
    utterance.rate = 1.0;
    utterance.pitch = 0.9;
    utterance.onend = () => resolve(true);
    window.speechSynthesis.speak(utterance);
  });
};

export const synthesizeSpeech = async (params: {
  text: string;
  voiceName: string;
  directorNotes?: string;
  multiSpeaker?: any;
}) => {
  return speakText(params.text);
};

export const processVoiceCommand = async (command: string) => {
  try {
    const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
    const response = await ai.models.generateContent({
      model: TEXT_MODEL,
      contents: [{ parts: [{ text: `You are an institutional treasury AI. Analyze: "${command}". Return ONLY JSON: { "action": "SEND_MONEY" | "QUERY", "amount": number, "recipient": string, "category": string, "narration": string }.` }] }],
      config: { responseMimeType: "application/json" }
    });
    return JSON.parse(response.text || '{}');
  } catch (error) {
    console.error("Neural Signal Loss.");
    return { action: "ERROR", narration: "Registry parity error." };
  }
};

export const getFinancialAdviceStream = async (query: string, context: any) => {
  const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
  const response = await ai.models.generateContent({
    model: TEXT_MODEL,
    contents: [{ parts: [{ text: `System Context: ${JSON.stringify(context)}. User Query: ${query}` }] }],
  });
  return [{ text: response.text }];
};

export const getSystemIntelligenceFeed = async (): Promise<AIInsight[]> => {
  try {
    const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
    const response = await ai.models.generateContent({
      model: TEXT_MODEL,
      contents: [{ parts: [{ text: "Generate 4 corporate treasury alerts. Return ONLY JSON: [{title, description, severity: 'INFO'|'CRITICAL'}]" }] }],
      config: { responseMimeType: "application/json" }
    });
    return JSON.parse(response.text || '[]');
  } catch {
    return [{ id: '1', title: "Mesh Parity Stable", description: "All nodes performing within 0.001ms delta.", severity: "INFO" }];
  }
};

export const runSimulationForecast = async (prompt: string): Promise<SimulationResult> => {
  try {
    const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
    const response = await ai.models.generateContent({
      model: TEXT_MODEL,
      contents: [{ parts: [{ text: `Simulate: "${prompt}". Return ONLY JSON: { "outcomeNarrative": string, "projectedValue": number, "confidenceScore": number, "status": string, "simulationId": string, "keyRisks": string[] }.` }] }],
      config: { responseMimeType: "application/json" }
    });
    const result = JSON.parse(response.text || '{}');
    return {
      simulationId: `SIM-${Math.floor(Math.random() * 9000) + 1000}`,
      status: 'SUCCESS',
      ...result
    };
  } catch (error) {
    return { outcomeNarrative: "Forecast link failed.", projectedValue: 0, confidenceScore: 0, status: 'ERROR', simulationId: 'ERR-01' };
  }
};

export const getPortfolioSuggestions = async (context: any) => {
  try {
    const ai = new GoogleGenAI({ apiKey: process.env.API_KEY });
    const response = await ai.models.generateContent({
      model: TEXT_MODEL,
      contents: [{ parts: [{ text: `Suggest 3 actions: ${JSON.stringify(context)}. Return ONLY JSON: [{type: 'ALPHA'|'RISK'|'LIQUIDITY', title, description}]` }] }],
      config: { responseMimeType: "application/json" }
    });
    return JSON.parse(response.text || '[]');
  } catch {
    return [];
  }
};