using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Milvus.Client;

namespace MilvusDemo
{
    /// <summary>
    /// 用于测试MilvusService的模拟类
    /// </summary>
    public class MilvusServiceTests
    {
        // 模拟的MilvusService实例
        private readonly MilvusService _milvusService;
        
        // 标记各个方法是否被调用
        public bool InitializeCollectionCalled { get; private set; }
        public bool CreateIndexAndLoadCalled { get; private set; }
        public bool InsertRandomDataCalled { get; private set; }
        public bool SearchVectorCalled { get; private set; }
        
        // 记录传入的参数
        public int InsertDataCount { get; private set; }
        public int SearchTopK { get; private set; }

        public MilvusServiceTests()
        {
            // 创建真实的MilvusService实例，但我们将拦截其方法调用
            _milvusService = new MilvusService("localhost", 19530, "test_collection", 8);
        }

        /// <summary>
        /// 模拟初始化集合的方法
        /// </summary>
        public async Task MockInitializeCollectionAsync()
        {
            InitializeCollectionCalled = true;
            Console.WriteLine("[TEST] InitializeCollectionAsync called");
            
            // 模拟操作延迟
            await Task.Delay(100);
            
            Console.WriteLine("[TEST] Collection dropped and created");
        }

        /// <summary>
        /// 模拟创建索引并加载集合的方法
        /// </summary>
        public async Task MockCreateIndexAndLoadAsync()
        {
            CreateIndexAndLoadCalled = true;
            Console.WriteLine("[TEST] CreateIndexAndLoadAsync called");
            
            // 模拟操作延迟
            await Task.Delay(100);
            
            Console.WriteLine("[TEST] Index created");
            Console.WriteLine("[TEST] Collection loaded");
        }

        /// <summary>
        /// 模拟插入随机数据的方法
        /// </summary>
        public async Task MockInsertRandomDataAsync(int count)
        {
            InsertRandomDataCalled = true;
            InsertDataCount = count;
            Console.WriteLine($"[TEST] InsertRandomDataAsync called with count: {count}");
            
            // 模拟操作延迟
            await Task.Delay(100);
            
            Console.WriteLine("[TEST] Data inserted");
        }

        /// <summary>
        /// 模拟向量搜索的方法
        /// </summary>
        public async Task<SearchResults> MockSearchVectorAsync(int topK = 5)
        {
            SearchVectorCalled = true;
            SearchTopK = topK;
            Console.WriteLine($"[TEST] SearchVectorAsync called with topK: {topK}");
            
            // 模拟操作延迟
            await Task.Delay(100);
            
            // 创建模拟的搜索结果
            var mockIds = new List<long>();
            for (int i = 0; i < topK; i++)
            {
                mockIds.Add(1000 + i); // 使用1000+i作为模拟ID
            }
            
            Console.WriteLine("[TEST] Search completed");
            
            // 注意：这里我们无法直接创建SearchResults实例，因为它可能是内部类
            // 在实际测试中，您可能需要使用模拟框架如Moq来模拟这个返回值
            // 这里我们返回null，实际使用时需要处理这种情况
            return null;
        }

        /// <summary>
        /// 运行完整的测试流程
        /// </summary>
        public async Task RunFullTestAsync()
        {
            Console.WriteLine("=== Starting MilvusService Test ===");
            
            await MockInitializeCollectionAsync();
            await MockCreateIndexAndLoadAsync();
            await MockInsertRandomDataAsync(1000);
            await MockSearchVectorAsync(5);
            
            // 打印测试结果摘要
            Console.WriteLine("\n=== Test Summary ===");
            Console.WriteLine($"InitializeCollection Called: {InitializeCollectionCalled}");
            Console.WriteLine($"CreateIndexAndLoad Called: {CreateIndexAndLoadCalled}");
            Console.WriteLine($"InsertRandomData Called: {InsertRandomDataCalled} (Count: {InsertDataCount})");
            Console.WriteLine($"SearchVector Called: {SearchVectorCalled} (TopK: {SearchTopK})");
            
            Console.WriteLine("=== Test Completed ===");
        }
    }
}