gRPC Client Middleware.
中间件想必大家不陌生,今天给大家介绍如何实现中间件以及实现gRPC的客户端中间件。
什么是中间件?
https://docs.microsoft.com/zh-cn/aspnet/core/fundamentals/middleware/index?view=aspnetcore-2.1&tabs=aspnetcore2x
中间件管道
先定义管道Pipeline
/// <summary>
/// Built pipeline for gRPC
/// </summary>
public class Pipeline
{
private PipelineDelagate processChain; internal Pipeline(PipelineDelagate middlewareChain)
{
processChain = middlewareChain;
} internal Task RunPipeline(MiddlewareContext context)
{
return processChain(context);
}
}
然后实现PipelineBuilder
/// <summary>
/// PipelineBuilder
/// </summary>
public class PipelineBuilder
{
private List<Func<PipelineDelagate, PipelineDelagate>> middlewares = new List<Func<PipelineDelagate, PipelineDelagate>>(); /// <summary>
/// Add a middleware
/// </summary>
public PipelineBuilder Use(Func<PipelineDelagate, PipelineDelagate> middleware)
{
middlewares.Add(middleware);
return this;
} /// <summary>
/// Use
/// </summary>
public PipelineBuilder Use<T>(params object[] args)
{
middlewares.Add(d => WrapClass<T>(d, args));
return this;
} /// <summary>
/// UseWhen
/// </summary>
public PipelineBuilder UseWhen<T>(Func<MiddlewareContext, bool> condition, params object[] args)
{
middlewares.Add(d =>
{
return async ctx => { if (condition(ctx)) { await WrapClass<T>(d, args)(ctx); } };
});
return this;
} /// <summary>
/// Use
/// </summary>
public PipelineBuilder Use(Func<MiddlewareContext, PipelineDelagate, Task> middleware)
{
middlewares.Add(d =>
{
return ctx => { return middleware(ctx, d); };
});
return this;
} private PipelineDelagate WrapClass<T>(PipelineDelagate next, params object[] args)
{
var ctorArgs = new object[args.Length + 1];
ctorArgs[0] = next;
Array.Copy(args, 0, ctorArgs, 1, args.Length);
var type = typeof(T);
var instance = Activator.CreateInstance(type, ctorArgs);
MethodInfo method = type.GetMethod("Invoke");
return (PipelineDelagate)method.CreateDelegate(typeof(PipelineDelagate), instance);
} /// <summary>
/// Build
/// </summary>
public Pipeline Build()
{
PipelineDelagate pipeline = ExecuteMainHandler;
middlewares.Reverse();
foreach (var middleware in middlewares)
{
pipeline = middleware(pipeline);
}
return new Pipeline(pipeline);
} internal static Task ExecuteMainHandler(MiddlewareContext context)
{
return context.HandlerExecutor();
}
}
MiddlewareContext 和 委托定义
/// <summary>
/// MiddlewareContext
/// </summary>
public class MiddlewareContext
{
public IMethod Method { get; set; } public object Request { get; set; } public object Response { get; set; } public string Host { get; set; } public CallOptions Options { get; set; } internal Func<Task> HandlerExecutor { get; set; }
} public delegate Task PipelineDelagate(MiddlewareContext context);
到这里管道建设完成,那个如何在gRPC中使用呢?
首先实现自己的客户端拦截器MiddlewareCallInvoker
public sealed class MiddlewareCallInvoker : DefaultCallInvoker
{
private readonly Channel grpcChannel; private Pipeline MiddlewarePipeline { get; set; } public MiddlewareCallInvoker(Channel channel) : base(channel)
{
this.grpcChannel = channel;
} public MiddlewareCallInvoker(Channel channel, Pipeline pipeline) : this(channel)
{
this.MiddlewarePipeline = pipeline;
} private TResponse Call<TResponse>(Func<MiddlewareContext, TResponse> call, MiddlewareContext context)
{ TResponse response = default(TResponse);
if (MiddlewarePipeline != null)
{
context.HandlerExecutor = async () =>
{
response = await Task.FromResult(call(context));
context.Response = response;
};
MiddlewarePipeline.RunPipeline(context).ConfigureAwait(false);
}
else
{
response = call(context);
}
return response; } public override TResponse BlockingUnaryCall<TRequest, TResponse>(Method<TRequest, TResponse> method,
string host, CallOptions options, TRequest request)
{
return Call((context) => base.BlockingUnaryCall((Method<TRequest, TResponse>)context.Method, context.Host, context.Options, (TRequest)context.Request), new MiddlewareContext
{
Host = host,
Method = method,
Options = options,
Request = request,
Response = null
});
} public override AsyncUnaryCall<TResponse> AsyncUnaryCall<TRequest, TResponse>(
Method<TRequest, TResponse> method, string host, CallOptions options, TRequest request)
{
return Call((context) => base.AsyncUnaryCall((Method<TRequest, TResponse>)context.Method, context.Host, context.Options, (TRequest)context.Request), new MiddlewareContext
{
Host = host,
Method = method,
Options = options,
Request = request,
Response = null
});
} public override AsyncServerStreamingCall<TResponse> AsyncServerStreamingCall<TRequest, TResponse>(Method<TRequest, TResponse> method, string host, CallOptions options,
TRequest request)
{
return Call((context) => base.AsyncServerStreamingCall((Method<TRequest, TResponse>)context.Method, context.Host, context.Options, (TRequest)context.Request), new MiddlewareContext
{
Host = host,
Method = method,
Options = options,
Request = request,
Response = null
});
} public override AsyncClientStreamingCall<TRequest, TResponse> AsyncClientStreamingCall<TRequest, TResponse>(Method<TRequest, TResponse> method, string host, CallOptions options)
{
return Call((context) => base.AsyncClientStreamingCall((Method<TRequest, TResponse>)context.Method, context.Host, context.Options), new MiddlewareContext
{
Host = host,
Method = method,
Options = options,
Request = null,
Response = null
});
} public override AsyncDuplexStreamingCall<TRequest, TResponse> AsyncDuplexStreamingCall<TRequest, TResponse>(Method<TRequest, TResponse> method, string host, CallOptions options)
{
return Call((context) => base.AsyncDuplexStreamingCall((Method<TRequest, TResponse>)context.Method, context.Host, context.Options), new MiddlewareContext
{
Host = host,
Method = method,
Options = options,
Request = null,
Response = null
});
}
}
到这里基于管道的中间件基本完成。接下来就是在客户端使用了
var pipeline = new PipelineBuilder()
//.Use<ExceptionMiddleware>()
//.Use<TimerMiddleware>()
//.Use<LoggingMiddleware>()
//.Use<TimeoutMiddleware>()
.Use<PolicyMiddleware>(new PolicyMiddlewareOptions
{
RetryTimes = 2,
TimoutMilliseconds = 100
})
;
//pipeline.Use<LoggingMiddleware>();// pipeline.UseWhen<LoggingMiddleware>(ctx => ctx.Context.Method.EndsWith("SayHello"));
//pipeline.Use<TimeoutMiddleware>(new TimeoutMiddlewareOptions { TimoutMilliseconds = 1000 });
//console logger
pipeline.Use(async (ctx, next) =>
{
Console.WriteLine(ctx.Request.ToString());
await next(ctx);
Console.WriteLine(ctx.Response.ToString());
}); Channel channel = new Channel("127.0.0.1:50051", ChannelCredentials.Insecure);
MiddlewareCallInvoker callInvoker = new MiddlewareCallInvoker(channel, pipeline.Build()); var clientApi = new Get.GetClient(callInvoker); var replyApi = clientApi.SayHello(new ContractsSample1.HelloApiDemo.HelloRequest { Name = " APII" });
Console.WriteLine("Greeting: " + replyApi.Message);
Middleware
public class LoggingMiddleware
{
private PipelineDelagate _next; public LoggingMiddleware(PipelineDelagate next)
{
_next = next;
} public async Task Invoke(MiddlewareContext context)
{
//Before
await _next(context);
//End
}
}
至此已完成所有工作。希望能够帮助到大家。
如果有机会将给大家介绍gRPC跨平台网关,该网关能够实现自动将下游的gRPC服务转化成http api,只需要你的proto文件即可。如果你使用consul,甚至无需你做任务配置。
gRPC Client Middleware.的更多相关文章
- gRPC Client的负载均衡器
一.gRPC是什么? gRPC是一个高性能.通用的开源RPC框架,其由Google主要面向移动应用开发并基于HTTP/2协议标准而设计,基于ProtoBuf(Protocol Buffers)序列化协 ...
- Building gRPC Client iOS Swift Note Taking App
gRPC is an universal remote procedure call framework developed by Google that has been gaining inter ...
- yoyogo v1.7.4 发布,支持 grpc v1.3.8 & etcd 3.5.0
YoyoGo (Go语言框架)一个简单.轻量.快速.基于依赖注入的微服务框架( web .grpc ),支持Nacos/Consoul/Etcd/Eureka/k8s /Apollo等 . https ...
- gRPC源码分析1-SSL/TLS
引子 前几天看到微信后台团队分享了TLS相关文章,正好gRPC里TLS数据加密是很重要的一块,于是整理出了这篇文章. 在gRPC里,如果仅仅是用来做后端微服务,可以考虑不加密.本文太长,先给个大纲. ...
- gRPC .NET Core跨平台学习
前些天发布gRPC C# 学习,在.NET Framework 中使用gRPC ,今天来学习 .NET Core gRPC. gRPC 的.NET Core 包在NuGet 上发布了,结合.NET C ...
- gRPC helloworld service, RESTful JSON API gateway and swagger UI
概述 本篇博文完整讲述了如果通过 protocol buffers 定义并启动一个 gRPC 服务,然后在 gRPC 服务上提供一个 RESTful JSON API 的反向代理 gateway,最后 ...
- 开始食用grpc(之一)
开始食用grpc(之一) 转载请注明出处:https://www.cnblogs.com/funnyzpc/p/9501353.html ``` 记一次和一锅们压马路,路过一咖啡厅(某巴克),随口 ...
- gRPC 在 Python中的应用
python -m grpc_tools.protoc --proto_path=. --python_out=. --grpc_python_out=. hello.proto 简介 在python ...
- Abp + gRpc 如何实现用户会话状态传递
0.背景 在实际项目当中,我们采用的是 Abp 框架,但是 Abp 框架官方并没有针对 Grpc 进行模块封装.基于此我结合 Abp 与 MagicOnion 封装了一个 Abp.Grpc 模块,它包 ...
随机推荐
- Spring Boot(一):环境搭建,建立简单项目
一.基本环境搭建 1.下载IntelliJ IDEA :http://www.jetbrains.com/idea/ 2.拖到页面最下面下载旗舰版 3.新建项目 4.设置本地Maven 5.删除多于文 ...
- STM32 内部flash的读写程序
/* Base address of the Flash sectors */ #define ADDR_FLASH_SECTOR_0 ((uint32_t)0x08000000) /* Base ...
- 2018-2019-2 20165236 《网络对抗技术》Exp4 恶意代码分析
2018-2019-2 20165236 <网络对抗技术>Exp4 恶意代码分析 一.1.实践目标 1.1是监控你自己系统的运行状态,看有没有可疑的程序在运行; 1.2是分析一个恶意软件, ...
- 2019春第六周作业Compile Summarize
这个作业属于那个课程 C语言程序设计II 这个作业要求在哪里 在这里 我在这个课程的目标是 能够熟练掌握指针的用法 这个作业在那个具体方面帮助我实现目标 对指针的使用更加得心应手 参考文献与网址 C语 ...
- Python socket的客户端
做一个socket客户端1.声明一个实例2.绑定端口号和地址3.循环发送和接收响应其中要注意粘包的产生,为了防止粘包的产生,应该在服务器端先测出要发送信息的大小,然后发送响应至客户端,等到服务器上一条 ...
- 大兄dei,早点看清this吧
说道this,可以说是前端中很重要的问题之一了,也是面试或者笔试常考的问题.所以还是早点看清this吧,大兄dei. this是什么?为什么要存在? this关键字是js中最最复杂的机制之一.他被自动 ...
- 【速读】——Shangxuan Tian——【ICCV2017】WeText_Scene Text Detection under Weak Supervision
Shangxuan Tian——[ICCV2017]WeText_Scene Text Detection under Weak Supervision 目录 作者和相关链接 文章亮点 方法介绍 方法 ...
- RocketMQ基本概念
RocketMQ基本概念 一.生产者 生产者发送业务系统产生的消息给broker.RocketMQ提供了多种发送方式:同步的.异步的.单向的. 1.1 生产者组 具有相同角色的生产者被分到一组.假如原 ...
- 使用Configuration Extensions读取配置
使用Configuration Extensions读取配置 Configuration Extensions 是微软基于Configuration的扩展,能够很好的解析系统遇到各种配置文件,包括js ...
- 【javascript】随机颜色
调用该方法则会返回一个#xxx的rgb随机颜色 function color1(){ var sum=""; var shuzu2=['a','b','c','d','e','f' ...