import 'dart:convert';
import 'dart:math';
import 'package:http/http.dart' as http;
import '../http_client.dart';
import 'package:crypto/crypto.dart';
import 'package:uuid/uuid.dart';
import '../models.dart';
import 'base_provider.dart';

class DeepAi extends BaseProvider {
  @override
  String get name => 'DeepAI';

  @override
  String get label => 'DeepAI';

  @override
  String get url => 'https://deepai.org/chat';

  @override
  bool get working => true;

  @override
  bool get supportsStream => true;

  @override
  String get defaultModel => 'standard';

  @override
  Map<String, String> get modelAliases => const {
        G4FModels.gpt4: 'standard',
        G4FModels.gpt4o: 'standard',
        G4FModels.gpt4oMini: 'standard',
      };

  @override
  List<String> get models => [
        'standard',
        'online',
        'gemma-4',
        'gemini-2.5-flash-lite',
        'deepseek-v3.2',
      ];

  String _reverseString(String input) {
    return input.split('').reversed.join('');
  }

  String _myHashFunction(String inputStr) {
    var bytes = utf8.encode(inputStr);
    var digest = md5.convert(bytes);
    return _reverseString(digest.toString());
  }

  String _generateApiKey(String userAgent) {
    final random = Random();
    final myRandomStr = (random.nextDouble() * 100000000000).round().toString();

    final hash1 = _myHashFunction(
        userAgent + myRandomStr + "hackers_become_a_little_stinkier_every_time_they_hack");
    final hash2 = _myHashFunction(userAgent + hash1);
    final hash3 = _myHashFunction(userAgent + hash2);

    return "tryit-$myRandomStr-$hash3";
  }

  @override
  Stream<String> createAsyncGenerator(
    String model,
    List<Message> messages, {
    bool stream = true,
  }) async* {
    final userAgent = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36';
    final apiKey = _generateApiKey(userAgent);

    final headers = {
      'api-key': apiKey,
      'user-agent': userAgent,
      'origin': 'https://deepai.org',
      'referer': 'https://deepai.org/chat',
    };

    final cleanedMessages = messages.map((m) => {'role': m.role.name, 'content': m.content}).toList();

    var request = http.MultipartRequest('POST', Uri.parse('https://api.deepai.org/hacking_is_a_serious_crime'));
    request.headers.addAll(headers);
    
    request.fields['chat_style'] = 'chat';
    request.fields['chatHistory'] = jsonEncode(cleanedMessages);
    request.fields['model'] = model;
    request.fields['session_uuid'] = const Uuid().v4();
    request.fields['sensitivity_request_id'] = const Uuid().v4();
    request.fields['hacker_is_stinky'] = 'very_stinky';
    request.fields['enabled_tools'] = jsonEncode(["image_generator", "image_editor"]);

    final response = await g4fHttp.send(request).timeout(requestTimeout);

    if (response.statusCode != 200) {
      final errorText = await response.stream.bytesToString();
      throw Exception('DeepAI API returned status: ${response.statusCode} $errorText');
    }

    const fs = '\x1c';
    var buffer = '';
    await for (final chunk in response.stream.transform(utf8.decoder)) {
      if (chunk.isEmpty) continue;
      if (chunk.contains(fs) || buffer.contains(fs)) {
        buffer += chunk;
        final parts = buffer.split(fs);
        if (parts[0].trim().isNotEmpty) {
          yield parts[0];
        }
        break;
      }
      yield chunk;
    }
  }
}