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https://github.com/christianvidalwolf-prog/CrazeAnalytix.git
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fix: move Gemini API calls server-side to fix API key issue on Vercel
This commit is contained in:
+16
-68
@@ -1,47 +1,5 @@
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import { GoogleGenAI } from "@google/genai";
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import { AggregatedData } from "./types";
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// Declare process to avoid TypeScript errors without causing aggressive bundler shims
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declare const process: any;
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const SYSTEM_INSTRUCTION = `
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You are an expert Key Account Manager (KAM) and Senior Sales Strategist for "Craze Analytix".
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Your specialty is analyzing retail data, advertising performance, and market trends to provide high-level strategic recommendations.
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You have access to a detailed report of the currently filtered sales and advertising data.
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The data includes Sell Out (€), Units Sold, Product Lines, Customer Markets, Seasonality (Monthly Trends), and Growth/Decline metrics.
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Your objective:
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1. **Analyze**: Deeply study the provided data according to the user's specific query.
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2. **Opinion**: Provide expert opinions on the health of the business, product performance, or market position.
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3. **Recommendations**: Give actionable, professional advice to improve sales, ROAS, stock health, or market share.
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Guidelines:
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- Maintain a professional, consultative, and business-driven tone (KAM style).
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- Always justify your recommendations with specific numbers from the data.
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- If asked about "Trends" or "Seasonality", look at the Monthly Seasonality section.
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- If asked about "Growth" or "Decline", look at the Top/Bottom Movers sections.
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- When comparing metrics, calculate variances or ratios if relevant (e.g. Sales vs Ads growth).
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- Format your response with clear headers and bullet points for readability.
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- Respond in the same language as the user's question (e.g., if they ask in Spanish, answer in Spanish).
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`;
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// Helper to get API key safely
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const getApiKey = (): string | undefined => {
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// Try different sources (Vite defines these at build time)
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const key =
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(typeof process !== 'undefined' && process.env ? process.env.API_KEY || process.env.GEMINI_API_KEY : undefined) ||
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(import.meta as any).env?.VITE_GEMINI_API_KEY ||
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(import.meta as any).env?.API_KEY ||
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(import.meta as any).env?.GEMINI_API_KEY;
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// Ensure it's not a literal "undefined" string from a failed build injection
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if (key === "undefined" || key === "null" || !key) {
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return undefined;
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}
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return key;
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};
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import { AggregatedData } from '../types';
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const formatCurrency = (val: number) => `€${val.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 })}`;
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const formatUnits = (val: number) => `${val.toLocaleString('de-DE')} units`;
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@@ -52,28 +10,18 @@ export const queryGemini = async (
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filteredRecordCount: number
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): Promise<string> => {
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const apiKey = getApiKey();
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if (!apiKey) {
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return "API Key is missing. Please configure your environment variables (API_KEY) or check your .env file.";
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}
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try {
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const ai = new GoogleGenAI({ apiKey });
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// --- CONTEXT GENERATION ---
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// We construct a structured report mirroring the dashboard charts
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// 1. Totals by Year (KPI Cards)
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const yearlySummary = Object.entries(context.totalsByYear)
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.sort((a, b) => parseInt(b[0]) - parseInt(a[0])) // Descending years
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.map(([year, data]) => ` - ${year}: ${formatCurrency(data.sellOut)} | ${formatUnits(data.units)}`)
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.sort((a, b) => parseInt(b[0]) - parseInt(a[0]))
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.map(([year, data]) => ` - ${year}: ${formatCurrency((data as any).sellOut)} | ${formatUnits((data as any).units)}`)
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.join('\n');
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// 2. Seasonality (Line Chart Data)
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// We simplify this to a CSV-like list for the AI to parse trends
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const seasonalitySummary = context.seasonality.map(p => {
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// Extract values for each year in the point
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const yearValues = context.availableYears.map(y => `${y}: ${formatCurrency(p[y] as number || 0)}`).join(', ');
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return ` - ${p.name}: [${yearValues}]`;
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}).join('\n');
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@@ -88,7 +36,7 @@ export const queryGemini = async (
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` - ${m.line}: -€${Math.abs(m.sellOutGrowthValue).toLocaleString('de-DE')} (${m.sellOutGrowthPercentage.toFixed(1)}%)`
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).join('\n');
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// 5. Product Lines Overview (Bar Charts) - Limit to Top 50 to save tokens but give depth
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// 5. Product Lines Overview (Bar Charts) - Limit to Top 50
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const topLinesSummary = context.byLine.slice(0, 50).map((l, i) =>
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` ${i + 1}. ${l.name}: ${formatCurrency(l.value)} | ${formatUnits(l.units)}`
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).join('\n');
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@@ -126,22 +74,22 @@ PERFORMANCE BY CUSTOMER:
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${customerSummary}
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`;
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const response = await ai.models.generateContent({
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model: 'gemini-2.5-flash',
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contents: `Context Data:\n${fullReport}\n\nUser Question: ${question}`,
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config: {
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systemInstruction: SYSTEM_INSTRUCTION,
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}
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// Call our serverless API endpoint (key is safe server-side)
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const response = await fetch('/api/ask-gemini', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ question, context: fullReport })
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});
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return response.text || "I couldn't generate a response based on the data provided.";
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} catch (error: any) {
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console.error("Gemini API Error:", error);
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if (error.message && error.message.includes("Not implemented on this platform")) {
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return "System Error: The AI SDK detected a platform mismatch.";
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if (!response.ok) {
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const errorData = await response.json().catch(() => ({ error: 'Unknown error' }));
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throw new Error(errorData.error || `Server error: ${response.status}`);
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}
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const data = await response.json();
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return data.response || "I couldn't generate a response based on the data provided.";
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} catch (error: any) {
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console.error("Gemini API Error:", error);
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return `Error: ${error.message || "An unexpected error occurred while analyzing the data."}`;
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}
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};
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