import 'dart:io';

class AiConstants {
  AiConstants._();

  // Server ports
  static const int chatServerPort = 8080;
  static const int embeddingServerPort = 8081;

  // API endpoints
  static String get chatApiUrl =>
      'http://localhost:$chatServerPort/v1/chat/completions';
  static String get embeddingApiUrl =>
      'http://localhost:$embeddingServerPort/v1/embeddings';

  // Model files
  static const String qwenModelFile = 'qwen2.5-7b-instruct-q4_k_m.gguf';
  static const String nomicModelFile = 'nomic-embed-text-v1.5.Q4_K_M.gguf';
  static const String nomicModelName = 'nomic-embed-text-v1.5.Q4_K_M';

  // llama.cpp binary
  static const String llamaBuild = 'b8130';
  static String get serverBinaryName =>
      Platform.isWindows ? 'llama-server.exe' : 'llama-server';

  // Model download URLs
  static const String nomicModelUrl =
      'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF/resolve/main/nomic-embed-text-v1.5.Q4_K_M.gguf';
  static const String qwenModelUrl =
      'https://huggingface.co/bartowski/Qwen2.5-7B-Instruct-GGUF/resolve/main/Qwen2.5-7B-Instruct-Q4_K_M.gguf';

  // Server configuration
  static const int qwenContextSize = 4096;
  static const int nomicContextSize = 8192;
  static const int gpuLayerOffload = 99;
  static const double chatTemperature = 0.7;

  // Timeouts
  static const Duration serverConnectTimeout = Duration(seconds: 30);
  static const Duration serverReceiveTimeout = Duration(minutes: 5);
  static const Duration embeddingConnectTimeout = Duration(seconds: 10);
  static const Duration embeddingReceiveTimeout = Duration(seconds: 60);

  // System prompt
  static const String baseSystemPrompt =
      'You are a helpful AI fitness assistant for personal trainers. '
      'Help users design training plans, analyse exercise technique, '
      'and answer questions about sports science and nutrition.';
}