需要测试 C#}代码的片段而不旋转一个完整的工程@ ? {C#} 脚本文件 @ MS K3} *.csx) 允許您寫入並執行 C# 編碼如腳本語言@. no Program.cs# , 否# .csproj@, @ no building step@-}只要寫作並執行 *.# 完全可以測試 APIs,} 校正邏輯_,} 或原型

因为我要推出完整的Semanti C搜索功能 我以为I'd 分享我如何使用 .csx 在此及其他工程中用于临时测试的文件@. @%

CSX vs @ .NET @ MPK1文件@ MS K2}基于 Apps

@._NET@10}现在已有本地的 "files @MS K6}基于应用程序="#让您运行 .cs 直接与 dotnet run app.cs这跟CSX?有什么比?

.NET {10} 檔案-基于應用程式( 現在已可用MS K4

您可以使用“ . @ net@ MS K1 @ ” 来运行单一的 C-_ file C#}\ 直接 _ :}

# .NET 10 - available now!
dotnet run app.cs

功能@: @%

• SDK 本地端SDK @ -}无需额外工具
• 熟悉使用 .cs 扩展扩展号
• 通过 NuGet 引用 #:package 指令
• 从第一天起提供全部调试器支持
• 与经常项目相同的汇编器

// app.cs - .NET 10 style
#:package [email protected]

using Newtonsoft.Json;

var obj = new { Name = "Test", Value = 42 };
Console.WriteLine(JsonConvert.SerializeObject(obj));

CSX 脚本@( @AVilable Now @)

CSX通过 dotnet-script 自「2017:」至今,

# Available today
dotnet script app.csx

功能@: @%

• 与“.NET”合作
• 富丰富的生态系统和工具
• 互动勘探的REPL模式
• 验证和战斗@-_测试

// app.csx - CSX style
#r "nuget: Newtonsoft.Json, 13.0.3"

using Newtonsoft.Json;

var obj = new { Name = "Test", Value = 42 };
Console.WriteLine(JsonConvert.SerializeObject(obj));

您应该使用什么@ ? @

+Field Apps & MSSK8+
可用程度 @	@ .#NET @ MPK2 @ @ I	@ MS K4 @NET$10#	#
安装装置	dotnet tool install -g dotnet-script 建在SDK	里
文件扩展名	.csx	.cs
NuGet 语法	#r "nuget: Pkg, Ver"	#:package Pkg@Ver
REPL 模式 #	是 @ MS K1尚未#
IDE 支持 @	}好的 (#VS 代码=,#Rider)}#	}改善的	#
调试	是	是(notive) MSC4

我的建议#:

• 先尝试“ .@NET @ MS K1}文件应用程序 @- 本地支持意指较少工具管理费
• 返回到 CSX 如果您需要 REPL 模式或使用旧的 @.NET 版本
• 这些概念几乎完全相同,在这两个概念之间很容易进行知识转让。

本篇文章的其余部分包括CSX,它仍然运作良好,并具有一些特点: “(”类似于 REPLQ)}“.NET 10File Appsds doñZ'}尚未达到.}

CSX?是什么东西?

CSX (C#ScriptMS K2文件是可直接执行的代码文件, 而无需编译为项目@.Python}"PYthonMSKOK6Stystele"C{#Q-您写入了编码,你运行它=, 你可以看到结果 @.

// hello.csx
Console.WriteLine("Hello from C# Script!");

运行它:

dotnet script hello.csx

不对,不对 Main() 方法@,}没有命名空间 @,}不需要类包装 *.}

正在安装 dotnet@ - static

运行 CSX 文件最常用的方法就是通过 点网@ - @ scrip:

dotnet tool install -g dotnet-script

校验安裝@: @%

dotnet script --version

CSX 适合测试周期的地方

在潜入“"”之前,请让“MS K1”来理解 “" ” 当“".” CSX脚本在测试金字塔中占据一个独特的位置时

                    ┌─────────────────┐
                    │   E2E Tests     │  ← Full system, slow, expensive
                    │   (Playwright)  │
                   ─┼─────────────────┼─
                   │ Integration Tests │  ← Multiple components, database
                   │    (xUnit + DB)   │
                  ─┼───────────────────┼─
                 │   CSX Scripts        │  ← Quick validation, exploration
                 │   (Ad-hoc testing)   │     ★ YOU ARE HERE ★
                ─┼─────────────────────┼─
               │      Unit Tests         │  ← Single class, mocked deps
               │   (xUnit, NUnit, etc)   │
              ─┴─────────────────────────┴─

CSX 脚本作为 @ " @ mini 集成测试@ MS K1

CSX 脚本是 @'}% 1 取代正式测试@ -}它们='re a 补充@. 把它们当做#:

• Pre- 实施激增 @-_View a API 在围绕它建立服务前工作
• 调试辅助工具 @- 孤立和复制问题 不重建您的整个应用程序
• 探索试验 @- @ 理解在写作单位测试前图书馆的行为方式@ info/ plain
• 烟雾测试 @-_快速理智检查真实服务@(=,}APIS},}队列)}

发展工作流量

CSX如何融入典型特征开发周期 :

1. EXPLORE (CSX Script)
   └─→ "Does this API even work? What's the response format?"
   └─→ Write a quick script to call the API and see the output

2. PROTOTYPE (CSX Script)
   └─→ "How should I structure this service?"
   └─→ Test different approaches without project scaffolding

3. IMPLEMENT (Production Code)
   └─→ Build the actual service with proper error handling, DI, etc.
   └─→ You already know the API works from step 1!

4. TEST (xUnit/NUnit)
   └─→ Write formal unit tests with mocks
   └─→ Write integration tests against test database

5. DEBUG (CSX Script)
   └─→ Production issue? Write a script to reproduce it
   └─→ Faster than adding logging, rebuilding, deploying

建立乌马米融合

当我为这个博客建立 Umami 分析集成时,

1. CSX: 测试生API @ -_ 验证工作@ MS K1} 什么反应看起来像 @ MPK2
2. CSX: 测试时间戳转换 {-}在写入任何生产代码@!}% 1}之前在这里发现了一个错误
3. 建立 UmamiClient @-# 充满信心, 因为 I'_#d 已验证 API
4. X Unit:写单位测试 - mock HttpClient,测试序列逻辑
5. CSX:调试生产问题 - 返回空的度量@? 用于孤立问题的脚本

CSX 脚本替换了我的单位测试@- @它们 阻止我写代码 并助我, 更快调试问题 当它们发生时 .

为什么使用 CSX 测试@? @%

1. 零盛宴

测试API的传统做法

1. 创建新控制台工程
2. 添加 NuGet 软件包
3. 写入 Program.cs
4. 构建构建
5. 运行运行中
6. 完成后删除项目

CSX 方法@: @%

1. 写入脚本
2. 运行脚本

2. 内嵌 Nuget 引用

需要套件@ ? @% 1 在您的脚本中直接引用\ :}

#r "nuget: Newtonsoft.Json, 13.0.3"
#r "nuget: RestSharp, 110.2.0"

using Newtonsoft.Json;
using RestSharp;

var client = new RestClient("https://api.github.com");
var request = new RestRequest("users/scottgal", Method.Get);
request.AddHeader("User-Agent", "CSX-Test");

var response = await client.ExecuteAsync(request);
Console.WriteLine(JsonConvert.SerializeObject(
    JsonConvert.DeserializeObject(response.Content),
    Formatting.Indented));

首运行的下载软件包@. 以后使用缓存@ .

3.参考本地 DLLS

测试您自己的库@? @ 直接引用@ :}

#r "bin/Debug/net9.0/MyLibrary.dll"

using MyLibrary;

var result = MyClass.DoSomething();
Console.WriteLine(result);

4. 参考其它脚本

将复杂脚本拆分成可再使用部件@: @%

#load "helpers.csx"
#load "config.csx"

// Use functions/classes from loaded scripts
var config = LoadConfig();
var result = ProcessData(config);

此工程的真实实例

我用来调试和测试这个博客“'”代码库=. 每一个都解决了我在开发过程中遇到的一个真正的问题@.

API 测试时戳

问题: 我的Umami 分析集成正在返回空数据@. @% 经过几小时调试后, 我怀疑时间戳转换是错误的 @ - @ @ @ umami API 期待 Unix 时标在毫秒= @ MPK3}(但我不确定我的 &.NET 代码是否生成了正确的格式) @. @

为什么CSX? 我本可以在生产代码中加上伐木记录 重建了, 已部署 , 并检查logs." 或者我可以写一个快速脚本来验证我的假设 在“30”秒

#!/usr/bin/env dotnet-script

// This script helped debug an issue where the Umami API was returning empty data.
// The API expects Unix timestamps in milliseconds, and I suspected my conversion was wrong.

// Start with known values we can verify
var now = DateTime.UtcNow;
var yesterday = now.AddHours(-24);

// The "O" format specifier gives us ISO 8601 format - precise and unambiguous
// Example output: "2025-11-24T10:30:45.1234567Z"
Console.WriteLine($"Now: {now:O}");
Console.WriteLine($"Yesterday: {yesterday:O}");

// The Umami API expects Unix timestamps in MILLISECONDS (not seconds!)
// DateTimeOffset is the safest way to convert - it handles time zones correctly.
// Always use ToUniversalTime() first to ensure we're working with UTC.
var nowOffset = new DateTimeOffset(now.ToUniversalTime());
var yesterdayOffset = new DateTimeOffset(yesterday.ToUniversalTime());

// ToUnixTimeMilliseconds() returns milliseconds since 1970-01-01 00:00:00 UTC
var nowMs = nowOffset.ToUnixTimeMilliseconds();
var yesterdayMs = yesterdayOffset.ToUnixTimeMilliseconds();

Console.WriteLine($"\nNow in milliseconds: {nowMs}");
Console.WriteLine($"Yesterday in milliseconds: {yesterdayMs}");

// IMPORTANT: Verify the conversion is reversible!
// This catches off-by-one errors and timezone issues
var nowConverted = DateTimeOffset.FromUnixTimeMilliseconds(nowMs);
var yesterdayConverted = DateTimeOffset.FromUnixTimeMilliseconds(yesterdayMs);

Console.WriteLine($"\nConverted back (should match above):");
Console.WriteLine($"Now: {nowConverted:O}");
Console.WriteLine($"Yesterday: {yesterdayConverted:O}");

// THE ACTUAL BUG: I found this timestamp in my application logs
// Let's see what date it actually represents...
var suspiciousTimestamp = 1763440087664L;
var suspiciousDate = DateTimeOffset.FromUnixTimeMilliseconds(suspiciousTimestamp);
Console.WriteLine($"\nSuspicious timestamp {suspiciousTimestamp} = {suspiciousDate:O}");

// Output showed this timestamp was in the year 2025... but it should have been in 2024!
// Tracing back, I found I was using DateTime.Now instead of DateTime.UtcNow,
// causing the local timezone offset to be applied incorrectly.

结果:* 此脚本验证了时间戳是 @ 1_ 未来年份@ MS K1_ I track the bug back to use DateTime.Now 代替 DateTime.UtcNow 在生产代码中.固定在 5\ 分钟,而不是可能的"MS K2"小时调试@.}

测试查询字符串生成

问题: 我需要核实ASP.NETIS1 QueryHelpers 类以 Umami API 的准确格式生成查询字符串@. @ does it URL\ -_encode 特殊字符@MSSK2}{什么顺序是%?}中的参数

为什么CSX? 读取文档是一回事 @,,但看到实际输出会准确显示您的代码将生成什么@.

#!/usr/bin/env dotnet-script

// Pull in ASP.NET's WebUtilities package - this is the same package
// that ASP.NET Core uses internally for query string manipulation
#r "nuget: Microsoft.AspNetCore.WebUtilities, 9.0.0"

using Microsoft.AspNetCore.WebUtilities;

// These are the exact parameters I need to send to the Umami metrics API
// Using a Dictionary makes it easy to see all parameters at once
var queryParams = new Dictionary<string, string>
{
    {"startAt", "1730000000000"},   // Unix timestamp in milliseconds
    {"endAt", "1730086400000"},     // 24 hours later
    {"type", "url"},                // Type of metric to fetch
    {"unit", "day"},                // Aggregation unit
    {"limit", "500"}                // Maximum results to return
};

// QueryHelpers.AddQueryString builds a properly formatted query string
// First parameter: base URL (empty string = just the query string portion)
// Second parameter: dictionary of key-value pairs
var queryString = QueryHelpers.AddQueryString(string.Empty, queryParams);

Console.WriteLine($"Generated query string:");
Console.WriteLine(queryString);
// Output: ?startAt=1730000000000&endAt=1730086400000&type=url&unit=day&limit=500

// Now let's verify we can parse it back - this catches encoding issues
// that might not be obvious in the generated string
Console.WriteLine($"\nParsed back (verifying round-trip):");
var parsed = QueryHelpers.ParseQuery(queryString);
foreach (var kvp in parsed)
{
    // Note: parsed values are StringValues, not string
    // StringValues can hold multiple values for the same key (e.g., ?tag=a&tag=b)
    Console.WriteLine($"  {kvp.Key} = {kvp.Value}");
}

// What I learned: QueryHelpers properly handles URL encoding for special characters
// This became important when I later added search terms with spaces and unicode

RW HTTP API电话测试

问题: 在建立有依赖性注射的完整服务级前,我想验证API的实际效果并理解其响应格式@.}{回答错误处理,}重试逻辑,}和单位测试_,}我还想核实API是否有效 并且了解它的反应格式>MS K4}*

为什么CSX? 如果 API能用我预期的#,-I'+浪费了 @5分钟而不是@5Qhours_.+#

#!/usr/bin/env dotnet-script

// System.Net.Http.Json provides extension methods like PostAsJsonAsync and GetFromJsonAsync
// This is the same package ASP.NET Core uses internally
#r "nuget: System.Net.Http.Json, 9.0.0"

using System.Net.Http.Json;
using System.Text.Json;

// Configuration - in a real app these would come from appsettings.json
var websiteId = "32c2aa31-b1ac-44c0-b8f3-ff1f50403bee";
var umamiPath = "https://umami.mostlylucid.net";
var username = "admin";

// SECURITY: Never hardcode passwords! Use environment variables instead.
// Set before running: $env:UMAMI_PASSWORD = "your-password" (PowerShell)
//               or:   export UMAMI_PASSWORD="your-password" (bash)
var password = Environment.GetEnvironmentVariable("UMAMI_PASSWORD") ?? "";

if (string.IsNullOrEmpty(password))
{
    // Provide helpful instructions when the password is missing
    Console.WriteLine("ERROR: Set UMAMI_PASSWORD environment variable");
    Console.WriteLine("  PowerShell: $env:UMAMI_PASSWORD = 'your-password'");
    Console.WriteLine("  Bash:       export UMAMI_PASSWORD='your-password'");
    return;  // In CSX, 'return' at top level exits the script
}

// Create a single HttpClient instance - never create multiple instances in a loop!
// BaseAddress means all subsequent requests can use relative URLs
var httpClient = new HttpClient { BaseAddress = new Uri(umamiPath) };

// === STEP 1: Authenticate ===
// PostAsJsonAsync automatically serializes our anonymous object to JSON
// and sets the Content-Type header to application/json
Console.WriteLine("Step 1: Logging in...");
var loginPayload = new { username, password };
var loginResponse = await httpClient.PostAsJsonAsync("/api/auth/login", loginPayload);

// Always check for errors before trying to read the response body
if (!loginResponse.IsSuccessStatusCode)
{
    Console.WriteLine($"Login failed: {loginResponse.StatusCode}");
    var error = await loginResponse.Content.ReadAsStringAsync();
    Console.WriteLine($"Error body: {error}");
    return;
}

Console.WriteLine("Login successful!");

// === STEP 2: Extract JWT Token ===
// Use JsonDocument for one-off JSON parsing without creating dedicated DTOs
// This is perfect for exploratory testing when we don't know the exact schema
var loginContent = await loginResponse.Content.ReadAsStringAsync();
var loginJson = JsonDocument.Parse(loginContent);
var token = loginJson.RootElement.GetProperty("token").GetString();

// Add the JWT token to all future requests via the Authorization header
httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {token}");

// === STEP 3: Build the API Request ===
// Always use UTC for API calls to avoid timezone confusion
var now = DateTime.UtcNow;
var yesterday = now.AddHours(-24);
var nowMs = ((DateTimeOffset)now).ToUnixTimeMilliseconds();
var yesterdayMs = ((DateTimeOffset)yesterday).ToUnixTimeMilliseconds();

var testUrl = $"/api/websites/{websiteId}/metrics?startAt={yesterdayMs}&endAt={nowMs}&type=url&unit=day&limit=10";

Console.WriteLine($"\nStep 2: Testing metrics endpoint...");
Console.WriteLine($"URL: {testUrl}");

// === STEP 4: Make the Request ===
var response = await httpClient.GetAsync(testUrl);
Console.WriteLine($"Status: {response.StatusCode}");

// Pretty-print the JSON response so we can understand the structure
var responseBody = await response.Content.ReadAsStringAsync();
try
{
    var formatted = JsonSerializer.Serialize(
        JsonSerializer.Deserialize<JsonElement>(responseBody),
        new JsonSerializerOptions { WriteIndented = true });
    Console.WriteLine($"Response:\n{formatted}");
}
catch
{
    // If it's not valid JSON, just print raw
    Console.WriteLine($"Response (raw):\n{responseBody}");
}

// What I learned from this script:
// 1. The API returns an array of objects with 'x' (url) and 'y' (count) properties
// 2. Empty results return [] not null
// 3. The JWT token expires after 24 hours

使用依赖性注射测试

问题: I'@ve 发表一个 Nuget 软件包 @ ( @ umami @ I. @ Net) @ 并想要测试它是否精确, 因为消费者会使用它 @ MPK4+和适当的依赖性注射设置@ MS K5+不是通过即时课程直接拨打=.+#

为什么CSX? 正在创建测试控制台工程@, @ 添加我的 NuGet reference@ ,} 写入所有 DI 锅炉牌 * @ MS K2} '\ {15+}\ 仪式的分钟=.}CSX,}我可以校验在 < MSKO7\ minutes\ MPK8> 下的消费经验

#!/usr/bin/env dotnet-script

// Reference my published NuGet package - this tests the ACTUAL PUBLISHED VERSION,
// not my local source code. This is crucial for verifying releases work correctly!
#r "nuget: Umami.Net, 0.1.0"

// Standard Microsoft DI packages - the same ones ASP.NET Core uses
#r "nuget: Microsoft.Extensions.DependencyInjection, 9.0.0"
#r "nuget: Microsoft.Extensions.Logging.Console, 9.0.0"

using Umami.Net;
using Umami.Net.UmamiData;
using Umami.Net.UmamiData.Models.RequestObjects;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;

// Configuration
var websiteId = "32c2aa31-b1ac-44c0-b8f3-ff1f50403bee";
var umamiPath = "https://umami.mostlylucid.net";
var password = Environment.GetEnvironmentVariable("UMAMI_PASSWORD") ?? "";

if (string.IsNullOrEmpty(password))
{
    Console.WriteLine("ERROR: Set UMAMI_PASSWORD environment variable");
    return;
}

// === BUILD THE DI CONTAINER ===
// This mimics exactly what happens in a real ASP.NET Core app's Program.cs

var services = new ServiceCollection();

// Add logging so we can see what the library is doing internally
// Debug level will show HTTP requests, retries, token refreshes, etc.
services.AddLogging(builder =>
{
    builder.AddConsole();
    builder.SetMinimumLevel(LogLevel.Debug);  // Show everything
});

// This is my library's extension method - this is the public API that users call
// I want to verify this works correctly without any hidden dependencies
services.AddUmamiData(umamiPath, websiteId);

// Build the container and resolve our service
var serviceProvider = services.BuildServiceProvider();
var umamiDataService = serviceProvider.GetRequiredService<UmamiDataService>();

Console.WriteLine("=== Testing Umami.Net Package via DI ===\n");

// === TEST THE LOGIN FLOW ===
Console.WriteLine("Testing login...");
var loginSuccess = await umamiDataService.LoginAsync("admin", password);
if (!loginSuccess)
{
    Console.WriteLine("ERROR: Login failed - check credentials");
    return;
}
Console.WriteLine("Login successful!\n");

// === TEST THE METRICS API ===
Console.WriteLine("Testing metrics API...");
var metricsResult = await umamiDataService.GetMetrics(new MetricsRequest
{
    StartAtDate = DateTime.UtcNow.AddHours(-24),
    EndAtDate = DateTime.UtcNow,
    Type = MetricType.url,   // Get URL metrics (most visited pages)
    Unit = Unit.day,
    Limit = 10
});

// Display results
Console.WriteLine($"API returned status: {metricsResult?.Status}");
if (metricsResult?.Data?.Length > 0)
{
    Console.WriteLine($"\nTop {Math.Min(5, metricsResult.Data.Length)} URLs in the last 24 hours:");
    foreach (var metric in metricsResult.Data.Take(5))
    {
        // metric.x = the URL path, metric.y = the view count
        Console.WriteLine($"  {metric.y,5} views - {metric.x}");
    }
}
else
{
    Console.WriteLine("No data returned - check date range or website ID");
}

// What I verified with this script:
// 1. The NuGet package installs correctly
// 2. The DI registration extension method works
// 3. The service can be resolved from the container
// 4. Login and API calls work as expected

测试 Qdrant 矢量数据库

问题: I'm 整合了用于语义搜索的 Qdrant 矢量数据库@. 在写入 producing service\ ,我需要理解 gRPC 用戶端是如何工作的 @,}#API 长什么样 @MS K4, 并校验我的本地 Qdrant 实例正在正确运行 #.}

为什么CSX? 矢量数据库是许多开发者的新区域 @. CSX 让我尝试交互性#,}尝试不同的操作并看到直接结果,然后承诺建立架构@.

#!/usr/bin/env dotnet-script

// Qdrant.Client is the official .NET client for the Qdrant vector database
#r "nuget: Qdrant.Client, 1.12.0"

using Qdrant.Client;
using Qdrant.Client.Grpc;

// === CRITICAL: Windows gRPC HTTP/2 Fix ===
// By default, .NET on Windows doesn't allow unencrypted HTTP/2 connections (used by gRPC)
// Without this line, you'll get cryptic "Protocol error" exceptions
// This must be called BEFORE creating the QdrantClient!
AppContext.SetSwitch("System.Net.Http.SocketsHttpHandler.Http2UnencryptedSupport", true);

// Connect to Qdrant running locally
// Note: Port 6334 is gRPC (faster), port 6333 is REST API
// The .NET client uses gRPC for better performance
var client = new QdrantClient("localhost", 6334);

Console.WriteLine("=== Qdrant Vector Database Testing ===\n");

// === STEP 1: List Existing Collections ===
// A "collection" in Qdrant is like a table - it holds vectors with the same dimensionality
Console.WriteLine("Step 1: Checking existing collections...");
var collections = await client.ListCollectionsAsync();

if (!collections.Any())
{
    Console.WriteLine("No collections found. This is a fresh Qdrant instance.\n");
}
else
{
    foreach (var collection in collections)
    {
        var info = await client.GetCollectionInfoAsync(collection);
        Console.WriteLine($"  Collection: {collection}");
        Console.WriteLine($"    Points (vectors): {info.PointsCount}");
        Console.WriteLine($"    Status: {info.Status}");
    }
    Console.WriteLine();
}

// === STEP 2: Create a Test Collection ===
// Vector databases store "points" - each point has a vector and optional metadata (payload)
var testCollection = "csx_demo";

Console.WriteLine($"Step 2: Creating test collection '{testCollection}'...");
try
{
    await client.CreateCollectionAsync(
        collectionName: testCollection,
        vectorsConfig: new VectorParams
        {
            // Vector size MUST match your embedding model!
            // all-MiniLM-L6-v2 produces 384-dimensional vectors
            // text-embedding-ada-002 produces 1536-dimensional vectors
            Size = 384,

            // Cosine similarity is standard for text embeddings
            // Alternatives: Distance.Dot (dot product), Distance.Euclid (euclidean)
            Distance = Distance.Cosine
        });
    Console.WriteLine("Collection created successfully!\n");
}
catch (Exception ex) when (ex.Message.Contains("already exists"))
{
    Console.WriteLine("Collection already exists, continuing...\n");
}

// === STEP 3: Insert Test Data ===
// In production, vectors come from an embedding model (BERT, OpenAI, etc.)
// For testing, we'll use random vectors
Console.WriteLine("Step 3: Inserting test point...");

var testVector = Enumerable.Range(0, 384)
    .Select(_ => (float)Random.Shared.NextDouble())
    .ToArray();

// Payload = metadata attached to the vector
// This is what you filter on and return in search results
var payload = new Dictionary<string, Value>
{
    ["title"] = "Understanding Vector Databases",
    ["slug"] = "understanding-vector-databases",
    ["language"] = "en",
    ["created"] = DateTime.UtcNow.ToString("O")
};

await client.UpsertAsync(
    collectionName: testCollection,
    points: new[]
    {
        new PointStruct
        {
            Id = Guid.NewGuid(),  // Unique identifier for this point
            Vectors = testVector,
            Payload = { payload }
        }
    });
Console.WriteLine("Point inserted!\n");

// === STEP 4: Search for Similar Vectors ===
// In production, you'd embed a search query and find similar documents
Console.WriteLine("Step 4: Searching for similar vectors...");

var searchVector = Enumerable.Range(0, 384)
    .Select(_ => (float)Random.Shared.NextDouble())
    .ToArray();

var results = await client.SearchAsync(
    collectionName: testCollection,
    vector: searchVector,
    limit: 5,
    scoreThreshold: 0.0f  // Return all results (random vectors won't have high similarity)
);

Console.WriteLine($"Found {results.Count} results:");
foreach (var result in results)
{
    // Score: 0 to 1 for cosine similarity (higher = more similar)
    Console.WriteLine($"  Score: {result.Score:F4}");
    Console.WriteLine($"    Title: {result.Payload["title"].StringValue}");
    Console.WriteLine($"    Slug: {result.Payload["slug"].StringValue}");
}

// === STEP 5: Clean Up ===
Console.WriteLine($"\nStep 5: Deleting test collection...");
await client.DeleteCollectionAsync(testCollection);
Console.WriteLine("Done! Test collection cleaned up.");

// What I learned from this script:
// 1. The gRPC client is fast but needs the HTTP/2 switch on Windows
// 2. Collection creation requires specifying vector dimensions upfront
// 3. Payloads can be arbitrary key-value pairs
// 4. Search returns results sorted by similarity score

更实用实例

HTTP 端点测试

#r "nuget: System.Net.Http.Json, 9.0.0"

using System.Net.Http.Json;

var http = new HttpClient();
http.DefaultRequestHeaders.Add("User-Agent", "CSX-Test");

// Test a GET endpoint
var response = await http.GetFromJsonAsync<JsonElement>(
    "https://api.github.com/repos/dotnet/runtime");

Console.WriteLine($"Stars: {response.GetProperty("stargazers_count")}");
Console.WriteLine($"Forks: {response.GetProperty("forks_count")}");

测试 JSON 序列化

#r "nuget: System.Text.Json, 8.0.0"

using System.Text.Json;
using System.Text.Json.Serialization;

public record Person(
    string Name,
    int Age,
    [property: JsonPropertyName("email_address")] string Email);

var person = new Person("Scott", 50, "[email protected]");

var options = new JsonSerializerOptions
{
    WriteIndented = true,
    PropertyNamingPolicy = JsonNamingPolicy.CamelCase
};

var json = JsonSerializer.Serialize(person, options);
Console.WriteLine(json);

// Deserialize back
var parsed = JsonSerializer.Deserialize<Person>(json, options);
Console.WriteLine($"Parsed: {parsed}");

测试数据库查询

#r "nuget: Npgsql, 8.0.0"
#r "nuget: Dapper, 2.1.24"

using Npgsql;
using Dapper;

var connectionString = "Host=localhost;Database=test;Username=postgres;Password=secret";

await using var conn = new NpgsqlConnection(connectionString);

// Quick query test
var results = await conn.QueryAsync<dynamic>(
    "SELECT * FROM users WHERE created_at > @date",
    new { date = DateTime.UtcNow.AddDays(-7) });

foreach (var row in results)
{
    Console.WriteLine($"{row.id}: {row.name}");
}

测试 Regex 模式

using System.Text.RegularExpressions;

var patterns = new[]
{
    @"^\d{4}-\d{2}-\d{2}$",           // Date
    @"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$", // Email
    @"^https?://[\w\-]+(\.[\w\-]+)+", // URL
};

var testCases = new[]
{
    "2025-11-24",
    "[email protected]",
    "https://mostlylucid.net",
    "not-a-date",
    "invalid-email",
};

foreach (var test in testCases)
{
    Console.WriteLine($"\n{test}:");
    foreach (var pattern in patterns)
    {
        var match = Regex.IsMatch(test, pattern);
        if (match) Console.WriteLine($"  ✓ Matches: {pattern}");
    }
}

LINQ 测试查询

var data = new[]
{
    new { Name = "Alice", Age = 30, Department = "Engineering" },
    new { Name = "Bob", Age = 25, Department = "Marketing" },
    new { Name = "Charlie", Age = 35, Department = "Engineering" },
    new { Name = "Diana", Age = 28, Department = "Engineering" },
};

// Test complex LINQ query
var result = data
    .Where(x => x.Department == "Engineering")
    .GroupBy(x => x.Age >= 30)
    .Select(g => new
    {
        Senior = g.Key,
        Count = g.Count(),
        Names = string.Join(", ", g.Select(x => x.Name))
    });

foreach (var group in result)
{
    Console.WriteLine($"Senior: {group.Senior}, Count: {group.Count}, Names: {group.Names}");
}

测试 Qdrant 矢量搜索

#r "nuget: Qdrant.Client, 1.12.0"

using Qdrant.Client;
using Qdrant.Client.Grpc;

var client = new QdrantClient("localhost", 6334);

// Test collection exists
var collections = await client.ListCollectionsAsync();
Console.WriteLine("Collections:");
foreach (var collection in collections)
{
    Console.WriteLine($"  - {collection}");
}

// Test a search (assuming you have embeddings)
var testVector = Enumerable.Range(0, 384).Select(_ => (float)Random.Shared.NextDouble()).ToArray();

try
{
    var results = await client.SearchAsync(
        collectionName: "blog_posts",
        vector: testVector,
        limit: 5);

    foreach (var result in results)
    {
        Console.WriteLine($"Score: {result.Score}, Id: {result.Id}");
    }
}
catch (Exception ex)
{
    Console.WriteLine($"Search failed: {ex.Message}");
}

IDE 支持

视觉工作室代码

安装 C#Dev包 扩展@. 你得到 @:

• 语法突出
• Intelli 感知
• 通过代码日志运行\ / debug

创建创建 .vscode/launch.json:

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Run CSX",
            "type": "coreclr",
            "request": "launch",
            "program": "dotnet",
            "args": ["script", "${file}"],
            "cwd": "${workspaceFolder}"
        }
    ]
}

喷气车列车骑士

Rider 在 CSX 支持下创建了 @ - @ in CS X 支持@ MS K1} 右键 @ MPK2单击任何 .csx 并选择文件@"Run".}

提示和诡计

使用 Shebang

添加一个 shebang 使脚本可以在 Linux\ /\ mac:\ 上直接执行

#!/usr/bin/env dotnet-script

Console.WriteLine("Runs directly with ./script.csx");

默认参数

通过 Global 访问命令@-}线性参数 Args 變數@: @%

// run: dotnet script test.csx -- arg1 arg2 "arg with spaces"
Console.WriteLine($"Arguments: {Args.Count}");
foreach (var (arg, index) in Args.Select((a, i) => (a, i)))
{
    Console.WriteLine($"  [{index}]: {arg}");
}

// Common pattern: use args with defaults
var environment = Args.ElementAtOrDefault(0) ?? "development";
var verbose = Args.Contains("--verbose");

Console.WriteLine($"Environment: {environment}, Verbose: {verbose}");

秘密的环境变量

使用环境变量@:

var apiKey = Environment.GetEnvironmentVariable("API_KEY");
var dbPassword = Environment.GetEnvironmentVariable("DB_PASSWORD");

if (string.IsNullOrEmpty(apiKey))
{
    Console.Error.WriteLine("ERROR: API_KEY not set");
    Console.Error.WriteLine("Run: $env:API_KEY='your-key' (PowerShell)");
    Console.Error.WriteLine(" or: export API_KEY='your-key' (bash)");
    Environment.Exit(1);
}

// Safely log partial key for debugging
Console.WriteLine($"Using API key: {apiKey[..4]}...{apiKey[^4..]}");

交互式模式 @(_REPL})

启动互动会话以探索@: @%

dotnet script

你得到一个C# REPLMSSK1

> var x = 42;
> x * 2
84
> #r "nuget: Newtonsoft.Json, 13.0.3"
> using Newtonsoft.Json;
> JsonConvert.SerializeObject(new { foo = "bar" })
"{"foo":"bar"}"

调试

用 VS 代码调试, 添加一个中断点并用 F5, @ 或 :} 运行

dotnet script test.csx --debug

使用快速 DTO 记录

没有需要的类文件@ - 定义内嵌 @ MS K1\ {

// Records are perfect for CSX - single line definitions
public record Person(string Name, int Age, string Email);
public record ApiResponse<T>(bool Success, T? Data, string? Error);
public record SearchResult(string Title, string Slug, float Score);

var person = new Person("Scott", 50, "[email protected]");
var response = new ApiResponse<Person>(true, person, null);

漂亮打印与压缩

#r "nuget: Dumpify, 0.6.5"

using Dumpify;

var data = new
{
    Name = "Test",
    Items = new[] { 1, 2, 3 },
    Nested = new { Foo = "bar" }
};

data.Dump();  // Pretty console output with colors

共同问题

找不到您的套件@ " @ label

第一运行是慢速的 @ - package 在背景中下载@ MS K1

#r "nuget: SomePackage, 1.0.0"  // First run: downloads
                                  // Second run: uses cache

修整@ :_ 等待完成首跑@ MS K1} 或 pre -_ download @ MPK3}

dotnet script init  # Creates omnisharp.json
dotnet script       # Downloads packages in REPL

找不到 " 或命名空间@ MSK2 @

软件包版本可能错误或不匹配@: @%

// Bad - version doesn't have the type you need
#r "nuget: Microsoft.Extensions.Http, 6.0.0"

// Good - use matching version for your .NET SDK
#r "nuget: Microsoft.Extensions.Http, 9.0.0"

在 Windows 上发行@: @ gRPC

Qdrant 和其他 GRPC 服务因 HTTP/2}错误@: 失败

// Add this BEFORE creating gRPC clients
AppContext.SetSwitch("System.Net.Http.SocketsHttpHandler.Http2UnencryptedSupport", true);

var client = new QdrantClient("localhost", 6334);  // Now works

问题@: HttpClient Socket 解析

Donñ't 在循环中创建多个 HttpClient 实例@ :}

// Bad - creates socket exhaustion
foreach (var url in urls)
{
    using var client = new HttpClient();  // DON'T do this
    await client.GetAsync(url);
}

// Good - reuse HttpClient
using var client = new HttpClient();
foreach (var url in urls)
{
    await client.GetAsync(url);
}

最高层的自动同步

顶端的-级的音频在 CSX 工作 @ - none async main 需要@ MS K2

// This works - no async Main needed
var response = await httpClient.GetAsync("https://example.com");
var content = await response.Content.ReadAsStringAsync();
Console.WriteLine(content);

Q: 组装加载冲突

当查找有依赖关系的本地 DLL 时@: @%

// Order matters - load dependencies first
#r "Mostlylucid.Shared/bin/Debug/net9.0/Mostlylucid.Shared.dll"
#r "Mostlylucid.Services/bin/Debug/net9.0/Mostlylucid.Services.dll"

// Or use NuGet for dependencies, local for your code
#r "nuget: Microsoft.Extensions.Logging, 9.0.0"
#r "MyLibrary/bin/Debug/net9.0/MyLibrary.dll"

Q:脚本元@'}在编辑后运行

IntelliSensense 缓存可以获取 stale:

# Clear the cache
rm -rf ~/.dotnet-script/          # Linux/Mac
rd /s /q %USERPROFILE%\.dotnet-script\  # Windows

无效参考类型

CSX 使用不同的默认值@ - @ 如果需要, 明确启用@ MPK1} *

#nullable enable

string? nullableString = null;  // OK
string nonNullable = null;      // Warning

何时使用 CSX 对完整工程

当 : CSX 时使用 CS X

• 快速测试@ - @ off 测试
• APP 勘探
• 原型算法
• 在添加到工程前测试 NuGet 软件包
• 校验 regexM, LIN,JSON序列化
• 数据库查询测试
• 学习/ 实验

使用完整工程时@ : @

• 复杂依赖的多个文件
• 单位测试 * @(_use x United/}N Unitime{)}%
• 生产守则
• 团队协作
• CD管道

测试我的博客API

这里% ' @ a 用于测试 Mostlylucid 搜索端点的脚本@ MS K1}

#r "nuget: System.Net.Http.Json, 8.0.0"

using System.Net.Http.Json;

var baseUrl = Args.Length > 0 ? Args[0] : "https://www.mostlylucid.net";
var searchTerm = Args.Length > 1 ? Args[1] : "docker";

var http = new HttpClient { BaseAddress = new Uri(baseUrl) };

Console.WriteLine($"Searching {baseUrl} for '{searchTerm}'...\n");

var results = await http.GetFromJsonAsync<JsonElement>(
    $"/api/search?term={Uri.EscapeDataString(searchTerm)}");

if (results.TryGetProperty("results", out var items))
{
    foreach (var item in items.EnumerateArray().Take(5))
    {
        var title = item.GetProperty("title").GetString();
        var slug = item.GetProperty("slug").GetString();
        Console.WriteLine($"- {title}");
        Console.WriteLine($"  /{slug}\n");
    }
}

运行它:

dotnet script search-test.csx -- https://localhost:5001 "entity framework"

摘要摘要

CSX 脚本是C#}REPL与一个完整的计划之间完美的中间地带 它们是:的理想

• 速度速度: 写入并运行在秒内
• 简单化: 没有工程仪式
• 电力由 NuGet 支持的“ :” 完整 C#
• 便捷性: 共享一个单一文件

下次你要在 C#, 跳过时快速测试某个东西 dotnet new console 所达到的 dotnet script 取代.

资源@:

• 点网@- static GitHub
• C# 脚本文档