import 'package:dio/dio.dart';
import 'package:trainhub_flutter/core/constants/ai_constants.dart';

/// Wraps the Nomic embedding server (llama.cpp).
/// Returns a 768-dimensional float vector for any input text.
class EmbeddingService {
  final _dio = Dio(
    BaseOptions(
      connectTimeout: AiConstants.embeddingConnectTimeout,
      receiveTimeout: AiConstants.embeddingReceiveTimeout,
    ),
  );

  /// Returns the embedding vector for [text].
  /// Throws a [DioException] if the Nomic server is unreachable.
  Future<List<double>> embed(String text) async {
    final response = await _dio.post<Map<String, dynamic>>(
      AiConstants.embeddingApiUrl,
      data: {
        'input': text,
        'model': AiConstants.nomicModelName,
      },
    );

    final raw =
        (response.data!['data'] as List<dynamic>)[0]['embedding']
            as List<dynamic>;
    return raw.map((e) => (e as num).toDouble()).toList();
  }
}