C# AI实现PR处理、单元测试

示例代码框架，展示了如何用C#结合AI服务（如OpenAI API）实现PR处理、单元测试生成和Bug修复的自动化流程。需要已配置好AI服务访问权限：

基础AI服务封装

csharp 复制代码

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

public class AIServiceClient
{
    private readonly string _apiKey;
    private readonly HttpClient _httpClient = new();

    public AIServiceClient(string apiKey) => _apiKey = apiKey;

    public async Task<string> GetAIResponse(string prompt)
    {
        var request = new
        {
            model = "gpt-4",
            messages = new[] { new { role = "user", content = prompt } }
        };

        var content = new StringContent(
            JsonConvert.SerializeObject(request),
            Encoding.UTF8,
            "application/json");

        _httpClient.DefaultRequestHeaders.Authorization = 
            new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", _apiKey);

        var response = await _httpClient.PostAsync(
            "https://api.openai.com/v1/chat/completions",
            content);

        var responseString = await response.Content.ReadAsStringAsync();
        dynamic result = JsonConvert.DeserializeObject(responseString)!;
        return result.choices[0].message.content;
    }
}

PR自动处理模块

csharp 复制代码

public class PRProcessor
{
    private readonly AIServiceClient _aiClient;

    public PRProcessor(AIServiceClient aiClient) => _aiClient = aiClient;

    public async Task<string> GeneratePRReview(string prDiff)
    {
        string prompt = $"Review this code diff and suggest improvements:\n{prDiff}\n" +
                       "Focus on: code quality, potential bugs, and style consistency.";
        
        return await _aiClient.GetAIResponse(prompt);
    }

    public async Task<string> GeneratePRResponse(string comments)
    {
        string prompt = $"Respond professionally to these PR comments:\n{comments}\n" +
                       "Acknowledge valid points and suggest concrete action items.";
        
        return await _aiClient.GetAIResponse(prompt);
    }
}

单元测试生成模块

csharp 复制代码

public class TestGenerator
{
    private readonly AIServiceClient _aiClient;

    public TestGenerator(AIServiceClient aiClient) => _aiClient = aiClient;

    public async Task<string> GenerateUnitTest(string classCode)
    {
        string prompt = $"Generate xUnit tests for this C# class:\n{classCode}\n" +
                       "Include: happy path, edge cases, and null checks. " +
                       "Use Moq for dependencies mocking.";
        
        return await _aiClient.GetAIResponse(prompt);
    }
}

Bug修复模块

csharp 复制代码

public class BugFixer
{
    private readonly AIServiceClient _aiClient;

    public BugFixer(AIServiceClient aiClient) => _aiClient = aiClient;

    public async Task<string> SuggestBugFix(string errorDescription, string? codeSnippet = null)
    {
        string prompt = $"Propose a fix for this bug:\n{errorDescription}\n";
        if (!string.IsNullOrEmpty(codeSnippet))
        {
            prompt += $"Relevant code:\n{codeSnippet}\n";
        }
        prompt += "Explain the root cause and provide the corrected code.";
        
        return await _aiClient.GetAIResponse(prompt);
    }
}

集成使用示例

csharp 复制代码

// 初始化服务
var aiClient = new AIServiceClient("your-api-key");
var prProcessor = new PRProcessor(aiClient);
var testGenerator = new TestGenerator(aiClient);
var bugFixer = new BugFixer(aiClient);

// PR处理示例
var prReview = await prProcessor.GeneratePRReview("git diff output here");

// 单元测试生成示例
var testCode = await testGenerator.GenerateUnitTest("public class Calculator {...}");

// Bug修复示例
var fixSuggestion = await bugFixer.SuggestBugFix(
    "NullReferenceException when user is null",
    "public string GetUserName(User u) => u.Name;");

注意事项

需要替换your-api-key为实际的AI服务API密钥
建议添加异常处理和重试机制
生产环境应考虑添加速率限制和缓存
输出的AI建议需要人工审核后再合并
可根据具体需求调整提示词(prompt)模板

实际实现时，可以结合GitHub API/SDK实现更完整的自动化流程，例如监听PR事件自动触发评审、关联提交与问题跟踪系统等。