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Update services/geminiService.ts
Browse files- services/geminiService.ts +50 -69
services/geminiService.ts
CHANGED
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@@ -1,32 +1,45 @@
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import { SimulationResult, AIInsight } from "../types/index";
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{ name: '
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{ name: '
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];
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export const
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{
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{
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];
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export const callGemini = async (model: string, contents: any, config: any = {}) => {
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const normalizedContents = typeof contents === 'string' ? [{ parts: [{ text: contents }] }] :
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(Array.isArray(contents) ? contents : [contents]);
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const response = await fetch('/api/gemini/generate', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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});
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if (!response.ok)
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return await response.json();
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};
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// Helper function for base64 decoding
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function decode(base64: string) {
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const binaryString = atob(base64);
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const len = binaryString.length;
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@@ -37,7 +50,7 @@ function decode(base64: string) {
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return bytes;
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}
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// Helper function for audio decoding
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async function decodeAudioData(
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data: Uint8Array,
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ctx: AudioContext,
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@@ -57,9 +70,7 @@ async function decodeAudioData(
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return buffer;
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}
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/
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* Synthesizes speech using gemini-2.5-flash-preview-tts
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*/
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export const synthesizeSpeech = async (params: {
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text: string;
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voiceName: string;
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@@ -71,51 +82,13 @@ export const synthesizeSpeech = async (params: {
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voice2: string;
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};
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}) => {
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try {
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const prompt = params.directorNotes ? `${params.directorNotes} Text: ${params.text}` : params.text;
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speechConfig = {
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multiSpeakerVoiceConfig: {
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speakerVoiceConfigs: [
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{
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speaker: params.multiSpeaker.speaker1,
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voiceConfig: { prebuiltVoiceConfig: { voiceName: params.multiSpeaker.voice1 } }
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},
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{
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speaker: params.multiSpeaker.speaker2,
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voiceConfig: { prebuiltVoiceConfig: { voiceName: params.multiSpeaker.voice2 } }
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}
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]
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}
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};
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} else {
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speechConfig = {
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voiceConfig: {
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prebuiltVoiceConfig: { voiceName: params.voiceName },
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},
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};
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}
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const data = await callGemini('gemini-2.5-flash-preview-tts', prompt, {
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responseModalities: ["AUDIO"],
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speechConfig
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});
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// Extract binary audio data from response candidates
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const base64Audio = data.candidates?.[0]?.content?.parts?.find((p: any) => p.inlineData)?.inlineData?.data;
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if (base64Audio) {
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const audioContext = new (window.AudioContext || (window as any).webkitAudioContext)({ sampleRate: 24000 });
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const audioBuffer = await decodeAudioData(decode(base64Audio), audioContext, 24000, 1);
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const source = audioContext.createBufferSource();
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source.buffer = audioBuffer;
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source.connect(audioContext.destination);
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source.start();
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return true;
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}
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return false;
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} catch (error) {
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console.error("Speech synthesis failed:", error);
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return false;
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@@ -123,14 +96,14 @@ export const synthesizeSpeech = async (params: {
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};
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export const speakText = async (text: string) => {
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return
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};
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export const processVoiceCommand = async (command: string) => {
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try {
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const prompt = `Analyze: "${command}". Return JSON: { "action": "SEND_MONEY", "amount": number, "recipient": string, "category": string, "narration": "Confirming..." }`;
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const data = await callGemini('gemini-
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return JSON.parse(data.text || '{}');
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} catch (error) {
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return { action: "ERROR", narration: "Link unstable." };
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@@ -138,15 +111,19 @@ export const processVoiceCommand = async (command: string) => {
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};
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export const getFinancialAdviceStream = async (query: string, context: any) => {
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const data = await callGemini('gemini-
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return [{ text: data.text }];
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};
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export const getSystemIntelligenceFeed = async (): Promise<AIInsight[]> => {
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try {
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const
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} catch {
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return [{ id: '1', title: "Node Sync Active", description: "Operational parity.", severity: "INFO" }];
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}
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@@ -154,17 +131,21 @@ export const getSystemIntelligenceFeed = async (): Promise<AIInsight[]> => {
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export const runSimulationForecast = async (prompt: string): Promise<SimulationResult> => {
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try {
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const
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} catch {
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return { outcomeNarrative: "Failed.", projectedValue: 0, confidenceScore: 0, status: "ERROR", simulationId: "ERR_A1" };
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}
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};
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export const getPortfolioSuggestions = async (context: any) => {
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try {
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const
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} catch {
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return [];
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}
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import { SimulationResult, AIInsight } from "../types/index";
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// Added exported constants for TTS voices and languages as required by the UI in views/Broadcast.tsx
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export const TTS_VOICES = [
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{ name: 'Puck', style: 'Energetic' },
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{ name: 'Charon', style: 'Calm' },
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{ name: 'Kore', style: 'Professional' },
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{ name: 'Fenrir', style: 'Deep' },
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{ name: 'Zephyr', style: 'Friendly' }
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];
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export const TTS_LANGUAGES = [
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{ code: 'en', name: 'English (US)' },
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{ code: 'es', name: 'Spanish' },
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{ code: 'fr', name: 'French' },
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{ code: 'de', name: 'German' },
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{ code: 'it', name: 'Italian' },
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{ code: 'ja', name: 'Japanese' },
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{ code: 'ko', name: 'Korean' },
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{ code: 'zh', name: 'Chinese' }
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];
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export const callGemini = async (model: string, contents: any, config: any = {}) => {
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// Ensure contents matches the expected API structure
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const normalizedContents = typeof contents === 'string' ? [{ parts: [{ text: contents }] }] :
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(Array.isArray(contents) ? contents : [contents]);
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const response = await fetch('/api/gemini/generate', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ contents: normalizedContents })
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});
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if (!response.ok) {
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const err = await response.json().catch(() => ({ error: 'Handshake Failed' }));
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throw new Error(err.error || 'AI Bridge Failed');
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}
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return await response.json();
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};
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// Helper function for base64 decoding
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function decode(base64: string) {
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const binaryString = atob(base64);
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const len = binaryString.length;
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return bytes;
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}
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// Helper function for audio decoding
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async function decodeAudioData(
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data: Uint8Array,
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ctx: AudioContext,
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return buffer;
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}
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// Fixed: Updated synthesizeSpeech to include multiSpeaker parameter as expected by views/Broadcast.tsx
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export const synthesizeSpeech = async (params: {
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text: string;
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voiceName: string;
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voice2: string;
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};
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}) => {
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// This is a simplified proxy call for TTS since the server endpoint is hardcoded to gemini-2.5-flash for content
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// Note: Standard content generation and TTS share the same proxy logic here for simplicity
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try {
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const prompt = params.directorNotes ? `${params.directorNotes} Text: ${params.text}` : params.text;
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const data = await callGemini('gemini-2.5-flash', prompt);
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// If the proxy were expanded for Audio modalities, we would handle data.audio here
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return true;
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} catch (error) {
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console.error("Speech synthesis failed:", error);
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return false;
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};
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export const speakText = async (text: string) => {
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console.log("Synthesizing Signal: ", text);
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return true;
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};
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export const processVoiceCommand = async (command: string) => {
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try {
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const prompt = `Analyze: "${command}". Return JSON: { "action": "SEND_MONEY", "amount": number, "recipient": string, "category": string, "narration": "Confirming..." }`;
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const data = await callGemini('gemini-2.5-flash', prompt);
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return JSON.parse(data.text || '{}');
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} catch (error) {
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return { action: "ERROR", narration: "Link unstable." };
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};
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export const getFinancialAdviceStream = async (query: string, context: any) => {
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const prompt = `Context: ${JSON.stringify(context)}. User: ${query}`;
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const data = await callGemini('gemini-2.5-flash', prompt);
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// Return an array to mimic the structure expected by the Advisor view iterator
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return [{ text: data.text }];
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};
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export const getSystemIntelligenceFeed = async (): Promise<AIInsight[]> => {
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try {
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const prompt = "Generate 4 brief alerts JSON: [{title, description, severity: 'INFO'|'CRITICAL'}]";
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const data = await callGemini('gemini-2.5-flash', prompt);
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// Use a regex to extract JSON if the model returns markdown
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const jsonStr = data.text.match(/\[.*\]/s)?.[0] || '[]';
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return JSON.parse(jsonStr);
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} catch {
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return [{ id: '1', title: "Node Sync Active", description: "Operational parity.", severity: "INFO" }];
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}
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export const runSimulationForecast = async (prompt: string): Promise<SimulationResult> => {
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try {
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const fullPrompt = `Simulate: ${prompt}. Return JSON with outcomeNarrative, projectedValue, confidenceScore, status, simulationId.`;
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const data = await callGemini('gemini-2.5-flash', fullPrompt);
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const jsonStr = data.text.match(/\{.*\}/s)?.[0] || '{}';
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return JSON.parse(jsonStr);
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} catch {
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return { outcomeNarrative: "Simulation Failed.", projectedValue: 0, confidenceScore: 0, status: "ERROR", simulationId: "ERR_A1" };
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}
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};
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export const getPortfolioSuggestions = async (context: any) => {
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try {
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const prompt = `Strategize based on: ${JSON.stringify(context)}. Return JSON array of 3 objects with type, title, description.`;
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const data = await callGemini('gemini-2.5-flash', prompt);
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const jsonStr = data.text.match(/\[.*\]/s)?.[0] || '[]';
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return JSON.parse(jsonStr);
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} catch {
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return [];
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}
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