/**
 * Room analysis API routes
 * Handles image upload and OpenAI Vision analysis
 */
import multer from 'multer';
import path from 'path';
import fs from 'fs';
import { fileURLToPath } from 'url';
import { analyzeRoomPhoto, analysisTo3DConfig } from '../services/roomAnalyzer.js';
import pool, { run } from '../db/index.js';

const __dirname = path.dirname(fileURLToPath(import.meta.url));

// Configure multer for image uploads
const storage = multer.memoryStorage();
const upload = multer({
  storage,
  limits: {
    fileSize: 10 * 1024 * 1024 // 10MB max
  },
  fileFilter: (req, file, cb) => {
    const allowedTypes = ['image/jpeg', 'image/png', 'image/webp'];
    if (allowedTypes.includes(file.mimetype)) {
      cb(null, true);
    } else {
      cb(new Error('Type de fichier non supporté. Utilisez JPEG, PNG ou WebP.'));
    }
  }
});

// Directory for storing uploaded room photos
const UPLOADS_DIR = path.join(__dirname, '..', '..', 'client', 'public', 'rooms');
if (!fs.existsSync(UPLOADS_DIR)) {
  fs.mkdirSync(UPLOADS_DIR, { recursive: true });
}

/**
 * Middleware for single image upload
 */
export const uploadMiddleware = upload.single('image');

/**
 * POST /api/room/analyze
 * Upload a room photo and analyze it with GPT-4 Vision
 */
export async function analyzeRoom(req, res) {
  try {
    if (!req.file) {
      return res.status(400).json({ error: 'Aucune image fournie' });
    }

    // Convert buffer to base64
    const imageBase64 = req.file.buffer.toString('base64');
    const mimeType = req.file.mimetype;

    // Analyze with OpenAI
    console.log('Analyzing room photo with GPT-4 Vision...');
    const result = await analyzeRoomPhoto(imageBase64, mimeType);

    if (!result.success) {
      return res.status(500).json({ error: 'Échec de l\'analyse' });
    }

    // Save the image for future reference
    const filename = `room_${Date.now()}.${mimeType.split('/')[1]}`;
    const filepath = path.join(UPLOADS_DIR, filename);
    fs.writeFileSync(filepath, req.file.buffer);

    // Convert to 3D config
    const room3DConfig = analysisTo3DConfig(result.analysis);

    res.json({
      success: true,
      imagePath: `/rooms/${filename}`,
      analysis: result.analysis,
      room3DConfig,
      tokensUsed: result.tokensUsed
    });

  } catch (error) {
    console.error('Room analysis error:', error);
    res.status(500).json({ 
      error: error.message || 'Erreur lors de l\'analyse de la pièce'
    });
  }
}

/**
 * POST /api/room/save
 * Save room configuration to an order
 */
export async function saveRoomConfig(req, res) {
  try {
    const { orderId, imagePath, analysis, room3DConfig } = req.body;

    if (!analysis) {
      return res.status(400).json({ error: 'Configuration de pièce requise' });
    }

    const analysisJson = JSON.stringify({ analysis, room3DConfig });

    if (orderId) {
      // Update existing order
      await run(
        `INSERT INTO room_configs (order_id, image_path, analysis_json)
         VALUES (?, ?, ?)`,
        [orderId, imagePath || null, analysisJson]
      );
    }

    // Return the config ID for reference
    const { rows } = await pool.query(
      'SELECT last_insert_rowid() as id'
    );

    res.json({
      success: true,
      roomConfigId: rows[0]?.id || null
    });

  } catch (error) {
    console.error('Save room config error:', error);
    res.status(500).json({ error: error.message });
  }
}

/**
 * GET /api/room/config/:orderId
 * Get room configuration for an order
 */
export async function getRoomConfig(req, res) {
  try {
    const { orderId } = req.params;

    const { rows } = await pool.query(
      'SELECT * FROM room_configs WHERE order_id = ? ORDER BY created_at DESC LIMIT 1',
      [orderId]
    );

    if (rows.length === 0) {
      return res.status(404).json({ error: 'Configuration non trouvée' });
    }

    const config = rows[0];
    const parsed = JSON.parse(config.analysis_json || '{}');

    res.json({
      id: config.id,
      orderId: config.order_id,
      imagePath: config.image_path,
      analysis: parsed.analysis,
      room3DConfig: parsed.room3DConfig,
      createdAt: config.created_at
    });

  } catch (error) {
    console.error('Get room config error:', error);
    res.status(500).json({ error: error.message });
  }
}

/**
 * Check if OpenAI API is configured
 */
export function checkApiStatus(req, res) {
  const isConfigured = !!process.env.OPENAI_API_KEY;
  res.json({
    openaiConfigured: isConfigured,
    features: {
      roomAnalysis: isConfigured
    }
  });
}