import '../models.dart';

/// Base abstract class for all G4F providers.
/// Mirrors `AsyncGeneratorProvider` in xtekky/gpt4free.
abstract class BaseProvider {
  /// User-friendly name of the provider
  String get name;

  String get label => name;

  String get url => '';

  /// Whether the provider is currently believed to be working
  bool get working;

  /// List of supported models by this provider
  List<String> get models;

  /// Optional fallback default model if none specified
  String get defaultModel;

  /// Whether this provider needs a hidden WebView (slow, device-only).
  bool get isWebView => false;

  /// Per-provider deadline. Python g4f defaults to ~120s; we keep a minute.
  Duration get requestTimeout => const Duration(seconds: 60);

  /// g4f `model_aliases` (e.g. gpt-4o → provider default).
  Map<String, String> get modelAliases => const {};

  String resolveModel(String? model) {
    if (model == null || model.isEmpty) return defaultModel;
    if (models.contains(model)) return model;
    final alias = modelAliases[model];
    if (alias != null) return alias;
    return defaultModel;
  }

  /// Whether the provider can emit incremental tokens.
  bool get supportsStream => false;

  /// Full reply. The Oracle never streams — it waits for a complete text.
  Future<String> complete(String model, List<Message> messages) async {
    final buf = StringBuffer();
    await for (final chunk in createAsyncGenerator(
      model,
      messages,
      stream: false,
    ).timeout(requestTimeout)) {
      buf.write(chunk);
    }
    return buf.toString();
  }

  /// Convert chat history to OpenAI-style JSON maps.
  List<Map<String, String>> toOpenAiMessages(List<Message> messages) {
    return [
      for (final m in messages) {'role': m.role.name, 'content': m.content},
    ];
  }

  /// Helper to get last user message
  String getLastUserMessage(List<Message> messages) {
    for (var i = messages.length - 1; i >= 0; i--) {
      if (messages[i].role == Role.user) {
        return messages[i].content;
      }
    }
    return '';
  }

  /// Helper to extract system prompt if supported by the provider
  String extractSystemMessage(List<Message> messages) {
    final sys = messages.where((m) => m.role == Role.system);
    if (sys.isNotEmpty) {
      return sys.map((m) => m.content).join('\n');
    }
    return '';
  }

  /// Helper to format a full prompt string (for providers without native chat context)
  String formatPrompt(List<Message> messages, {bool includeSystem = true}) {
    final sb = StringBuffer();
    for (final m in messages) {
      if (m.role == Role.system) {
        if (includeSystem) sb.writeln('System: ${m.content}');
      } else if (m.role == Role.user) {
        sb.writeln('User: ${m.content}');
      } else {
        sb.writeln('Assistant: ${m.content}');
      }
    }
    return sb.toString();
  }

  /// Main interface to execute a chat completion synchronously/asynchronously.
  /// Streams chunked output if `stream` is supported.
  Stream<String> createAsyncGenerator(
    String model,
    List<Message> messages, {
    bool stream = false,
  });
}