backend/controllers/getLoanEligibilityReportController.js

import { generateAIContent } from '../utils/aiHelper.js';
import { extractLanguage, getLanguageName } from '../utils/aiOrchestrator.js';
import dotenv from "dotenv";

export const getLoanEligibilityReport = async (req, res) => {
    dotenv.config();

    const {
        location,
        landSize,
        landType,
        cropType,
        cropStage,
        pastYield,
        existingLoans,
    } = req.body;

    if (!location || !landSize || !landType || !cropType || !cropStage) {
        return res.status(400).json({
            error: "Missing required inputs: location, landSize, landType, cropType, cropStage",
        });
    }

    const lang = extractLanguage(req);
    const langName = getLanguageName(lang);
    const langInstruction = lang !== 'en' ? `\n\nRespond STRICTLY in ${langName} language. Translate all fields and values.` : '';

    try {
        const prompt = `
        You are an expert agricultural financial analyst who evaluates farmer credit eligibility based on farm potential and financial risk.

        Evaluate the farmer using:
        - Farm Location: ${location}
        - Land Size: ${landSize}
        - Land Type: ${landType}
        - Crop Type: ${cropType}
        - Crop Stage: ${cropStage}
        - Past Yield (optional): ${pastYield || "Not provided"}
        - Existing Loans (optional): ${existingLoans || "Not provided"}

        Consider:
        - Crop yield prediction
        - Soil health and farm productivity potential
        - Market price forecast & demand trends
        - Climate risk profile (drought/flood probability)
        - Irrigation access and fertilizer usage (assume based on crop & region if not given)
        - Cropping pattern stability

        Provide the output ONLY in the following JSON format:

        {
            "loan_approval_probability": 0,
            "eligible_loan_amount_range": "",
            "risk_category": "",
            "expected_repayment_capacity": "",
            "recommendations": ["", "", ""],
            "note": ""
        }${langInstruction}
        `;

        const recommendation = await generateAIContent(prompt.trim());
        const formattedRecommendation = recommendation
            .replace("```json", "")
            .replace("```", "")
            .trim();
        res.status(200).json({
            recommendation: formattedRecommendation,
        });
    } catch (err) {
        console.error("Error fetching recommendations: ", err);
        res.status(500).json({ error: "Failed to fetch recommendations" });
    }
};