backend/controllers/recommendationController.js

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

export const getRecommendations = async (req, res) => {
    dotenv.config();
    
    const { climate, soilType, cropType, cropInfo, weatherDetails, cropConditions } = req.body;
    const lang = extractLanguage(req);

    try {
        // Construct a detailed prompt for the API based on the farmer's inputs
        const promptText = `
            Please provide farming recommendations based on the following information:

            1. **Climate**: ${climate}
            2. **Soil Type**: ${soilType}
            3. **Crop Type**: ${cropType}
            4. **Information about the Crop**: ${cropInfo}
            5. **Today's Weather**: ${weatherDetails}
            6. **Crop Conditions**: ${cropConditions}

            Based on this information, please suggest:
            - Suitable farming practices for today.
            - Care tips for the specified crop considering the current weather and soil conditions.
            - Any precautions to take given today's weather and crop requirements.

            Make the recommendations clear and easy to understand for farmers. Thank you!
            ${lang !== 'en' ? `\n\nRespond STRICTLY in ${req.langName || 'the user\'s preferred language'}.` : ''}
        `;

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