import 'dart:io';
import 'package:flutter/material.dart';
import 'package:camera/camera.dart';
import 'package:tflite_flutter/tflite_flutter.dart';
import 'package:image/image.dart' as img;
import '../../core/app_colors.dart';

List<CameraDescription> _cameras = [];

class AiCameraScreen extends StatefulWidget {
  const AiCameraScreen({super.key});
  @override State<AiCameraScreen> createState() => _AiCameraScreenState();
}

class _AiCameraScreenState extends State<AiCameraScreen> {
  CameraController? _cam;
  Interpreter? _interpreter;
  bool _processing = false;
  String _result = 'Apunta a un residuo y toca el botón';
  String _confidence = '';
  bool _modelLoaded = false;

  // 0=Orgánico, 1=Inorgánico (según waste_classification_model)
  final _labels = ['Residuo Organico', 'Residuo Inorganico'];
  final _labelColors = [AppColors.verdeExito, AppColors.naranjaAlerta];

  @override
  void initState() {
    super.initState();
    _init();
  }

  Future<void> _init() async {
    try {
      _cameras = await availableCameras();
    } catch (_) {}
    await _initCamera();
    await _loadModel();
  }

  Future<void> _initCamera() async {
    if (_cameras.isEmpty) return;
    _cam = CameraController(_cameras[0], ResolutionPreset.medium, enableAudio: false);
    try {
      await _cam!.initialize();
      if (mounted) setState(() {});
    } catch (_) {}
  }

  Future<void> _loadModel() async {
    try {
      _interpreter = await Interpreter.fromAsset('assets/models/waste_model.tflite');
      setState(() => _modelLoaded = true);
    } catch (e) {
      setState(() => _result = 'Modelo no encontrado.\nAgrega waste_model.tflite a assets/models/');
    }
  }

  Future<void> _classify() async {
    if (_cam == null || !_cam!.value.isInitialized || _processing || !_modelLoaded) return;
    setState(() { _processing = true; _result = 'Analizando...'; _confidence = ''; });
    try {
      final pic = await _cam!.takePicture();
      final raw = await File(pic.path).readAsBytes();
      img.Image? decoded = img.decodeImage(raw);
      if (decoded == null) throw Exception('No se pudo decodificar');
      final resized = img.copyResize(decoded, width: 150, height: 150);

      var input = List.generate(1, (_) =>
          List.generate(150, (_) => List.generate(150, (_) => List.generate(3, (_) => 0.0))));

      for (int y = 0; y < 150; y++) {
        for (int x = 0; x < 150; x++) {
          final px = resized.getPixel(x, y);
          input[0][y][x][0] = px.r / 255.0;
          input[0][y][x][1] = px.g / 255.0;
          input[0][y][x][2] = px.b / 255.0;
        }
      }
      var output = List.filled(2, 0.0).reshape([1, 2]);
      _interpreter!.run(input, output);

      final pred = List<double>.from(output[0]);
      final maxIdx = pred[0] > pred[1] ? 0 : 1;
      final conf = pred[maxIdx] * 100;

      await File(pic.path).delete();
      setState(() {
        _result = _labels[maxIdx];
        _confidence = 'Confianza: ${conf.toStringAsFixed(1)}%';
      });
    } catch (e) {
      setState(() => _result = 'Error en análisis');
    } finally {
      setState(() => _processing = false);
    }
  }

  @override
  void dispose() {
    _cam?.dispose();
    _interpreter?.close();
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    final resultColor = _result.contains('Orgánico') ? AppColors.verdeExito
        : _result.contains('Inorgánico') ? AppColors.naranjaAlerta
        : AppColors.guindaPrimary;

    return Scaffold(
      backgroundColor: Colors.black,
      appBar: AppBar(
        backgroundColor: AppColors.guindaPrimary, foregroundColor: Colors.white,
        title: const Text('Clasificador IA de Residuos'),
        bottom: PreferredSize(preferredSize: const Size.fromHeight(4),
            child: Container(height: 4, color: AppColors.dorado)),
      ),
      body: Column(children: [
        // Visor cámara
        Expanded(flex: 4,
          child: Container(margin: const EdgeInsets.all(14),
            clipBehavior: Clip.antiAlias,
            decoration: BoxDecoration(borderRadius: BorderRadius.circular(20),
              border: Border.all(color: AppColors.guindaPrimary, width: 3)),
            child: _cam != null && _cam!.value.isInitialized
                ? CameraPreview(_cam!)
                : const Center(child: Column(mainAxisAlignment: MainAxisAlignment.center, children: [
                    Icon(Icons.camera_alt, color: Colors.white54, size: 48),
                    SizedBox(height: 8),
                    Text('Iniciando cámara...', style: TextStyle(color: Colors.white54)),
                  ])),
          ),
        ),
        // Panel resultado
        Expanded(flex: 2,
          child: Container(width: double.infinity,
            decoration: BoxDecoration(color: AppColors.guindaPrimary.withOpacity(0.06),
              borderRadius: const BorderRadius.vertical(top: Radius.circular(28))),
            padding: const EdgeInsets.all(20),
            child: Column(mainAxisAlignment: MainAxisAlignment.center, children: [
              Text(_result, textAlign: TextAlign.center,
                  style: TextStyle(fontSize: 22, fontWeight: FontWeight.bold, color: resultColor)),
              if (_confidence.isNotEmpty) ...[
                const SizedBox(height: 6),
                Text(_confidence, style: const TextStyle(fontSize: 16, color: Colors.black54, fontWeight: FontWeight.w500)),
              ],
              const SizedBox(height: 16),
              if (!_modelLoaded)
                Container(padding: const EdgeInsets.all(10),
                  decoration: BoxDecoration(color: Colors.orange.shade50, borderRadius: BorderRadius.circular(8),
                    border: Border.all(color: Colors.orange.shade300)),
                  child: const Text('ℹ️ Para usar la IA, coloca waste_model.tflite en assets/models/',
                      textAlign: TextAlign.center, style: TextStyle(fontSize: 11))),
              if (_modelLoaded)
                SizedBox(width: double.infinity, height: 50,
                  child: ElevatedButton.icon(
                    onPressed: _processing ? null : _classify,
                    style: ElevatedButton.styleFrom(
                        backgroundColor: AppColors.guindaPrimary, foregroundColor: Colors.white,
                        shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(14))),
                    icon: _processing
                        ? const SizedBox(width: 20, height: 20, child: CircularProgressIndicator(color: Colors.white, strokeWidth: 2))
                        : const Icon(Icons.center_focus_strong),
                    label: Text(_processing ? 'Procesando...' : 'Escanear Residuo',
                        style: const TextStyle(fontSize: 16, fontWeight: FontWeight.bold)),
                  )),
            ]),
          ),
        ),
      ]),
    );
  }
}