Project Icon

drogon

高性能跨平台C++Web应用框架

Drogon是基于C++17/20的高性能HTTP应用框架,支持跨平台开发。框架提供异步编程模式,支持HTTP、WebSocket和JSON,具有高并发、简单反射、灵活路由等特点。Drogon还包含ORM实现、插件系统和AOP支持,适用于构建多种Web应用服务器。其简洁API和丰富功能使C++开发Web应用更加高效。

Build Status Conan Center Join the telegram group at https://t.me/joinchat/_mMNGv0748ZkMDAx Join our Discord Docker image

English | 简体中文 | 繁體中文

Overview

Drogon is a C++17/20 based HTTP application framework. Drogon can be used to easily build various types of web application server programs using C++. Drogon is the name of a dragon in the American TV series "Game of Thrones" that I really like.

Drogon is a cross-platform framework, It supports Linux, macOS, FreeBSD, OpenBSD, HaikuOS, and Windows. Its main features are as follows:

  • Use a non-blocking I/O network lib based on epoll (kqueue under macOS/FreeBSD) to provide high-concurrency, high-performance network IO, please visit the TFB Tests Results for more details;
  • Provide a completely asynchronous programming mode;
  • Support Http1.0/1.1 (server side and client side);
  • Based on template, a simple reflection mechanism is implemented to completely decouple the main program framework, controllers and views.
  • Support cookies and built-in sessions;
  • Support back-end rendering, the controller generates the data to the view to generate the Html page. Views are described by CSP template files, C++ codes are embedded into Html pages through CSP tags. And the drogon command-line tool automatically generates the C++ code files for compilation;
  • Support view page dynamic loading (dynamic compilation and loading at runtime);
  • Provide a convenient and flexible routing solution from the path to the controller handler;
  • Support filter chains to facilitate the execution of unified logic (such as login verification, Http Method constraint verification, etc.) before handling HTTP requests;
  • Support https (based on OpenSSL);
  • Support WebSocket (server side and client side);
  • Support JSON format request and response, very friendly to the Restful API application development;
  • Support file download and upload;
  • Support gzip, brotli compression transmission;
  • Support pipelining;
  • Provide a lightweight command line tool, drogon_ctl, to simplify the creation of various classes in Drogon and the generation of view code;
  • Support non-blocking I/O based asynchronously reading and writing database (PostgreSQL and MySQL(MariaDB) database);
  • Support asynchronously reading and writing sqlite3 database based on thread pool;
  • Support Redis with asynchronous reading and writing;
  • Support ARM Architecture;
  • Provide a convenient lightweight ORM implementation that supports for regular object-to-database bidirectional mapping;
  • Support plugins which can be installed by the configuration file at load time;
  • Support AOP with built-in joinpoints.
  • Support C++ coroutines

A very simple example

Unlike most C++ frameworks, the main program of the drogon application can be kept clean and simple. Drogon uses a few tricks to decouple controllers from the main program. The routing settings of controllers can be done through macros or configuration file.

Below is the main program of a typical drogon application:

#include <drogon/drogon.h>
using namespace drogon;
int main()
{
    app().setLogPath("./")
         .setLogLevel(trantor::Logger::kWarn)
         .addListener("0.0.0.0", 80)
         .setThreadNum(16)
         .enableRunAsDaemon()
         .run();
}

It can be further simplified by using configuration file as follows:

#include <drogon/drogon.h>
using namespace drogon;
int main()
{
    app().loadConfigFile("./config.json").run();
}

Drogon provides some interfaces for adding controller logic directly in the main() function, for example, user can register a handler like this in Drogon:

app().registerHandler("/test?username={name}",
                    [](const HttpRequestPtr& req,
                       std::function<void (const HttpResponsePtr &)> &&callback,
                       const std::string &name)
                    {
                        Json::Value json;
                        json["result"]="ok";
                        json["message"]=std::string("hello,")+name;
                        auto resp=HttpResponse::newHttpJsonResponse(json);
                        callback(resp);
                    },
                    {Get,"LoginFilter"});

While such interfaces look intuitive, they are not suitable for complex business logic scenarios. Assuming there are tens or even hundreds of handlers that need to be registered in the framework, isn't it a better practice to implement them separately in their respective classes? So unless your logic is very simple, we don't recommend using above interfaces. Instead, we can create an HttpSimpleController as follows:

/// The TestCtrl.h file
#pragma once
#include <drogon/HttpSimpleController.h>
using namespace drogon;
class TestCtrl:public drogon::HttpSimpleController<TestCtrl>
{
public:
    void asyncHandleHttpRequest(const HttpRequestPtr& req, std::function<void (const HttpResponsePtr &)> &&callback) override;
    PATH_LIST_BEGIN
    PATH_ADD("/test",Get);
    PATH_LIST_END
};

/// The TestCtrl.cc file
#include "TestCtrl.h"
void TestCtrl::asyncHandleHttpRequest(const HttpRequestPtr& req,
                                      std::function<void (const HttpResponsePtr &)> &&callback)
{
    //write your application logic here
    auto resp = HttpResponse::newHttpResponse();
    resp->setBody("<p>Hello, world!</p>");
    resp->setExpiredTime(0);
    callback(resp);
}

Most of the above programs can be automatically generated by the command line tool drogon_ctl provided by drogon (The command is drogon_ctl create controller TestCtrl). All the user needs to do is add their own business logic. In the example, the controller returns a Hello, world! string when the client accesses the http://ip/test URL.

For JSON format response, we create the controller as follows:

/// The header file
#pragma once
#include <drogon/HttpSimpleController.h>
using namespace drogon;
class JsonCtrl : public drogon::HttpSimpleController<JsonCtrl>
{
  public:
    void asyncHandleHttpRequest(const HttpRequestPtr &req, std::function<void(const HttpResponsePtr &)> &&callback) override;
    PATH_LIST_BEGIN
    //list path definitions here;
    PATH_ADD("/json", Get);
    PATH_LIST_END
};

/// The source file
#include "JsonCtrl.h"
void JsonCtrl::asyncHandleHttpRequest(const HttpRequestPtr &req,
                                      std::function<void(const HttpResponsePtr &)> &&callback)
{
    Json::Value ret;
    ret["message"] = "Hello, World!";
    auto resp = HttpResponse::newHttpJsonResponse(ret);
    callback(resp);
}

Let's go a step further and create a demo RESTful API with the HttpController class, as shown below (Omit the source file):

/// The header file
#pragma once
#include <drogon/HttpController.h>
using namespace drogon;
namespace api
{
namespace v1
{
class User : public drogon::HttpController<User>
{
  public:
    METHOD_LIST_BEGIN
    //use METHOD_ADD to add your custom processing function here;
    METHOD_ADD(User::getInfo, "/{id}", Get);                  //path is /api/v1/User/{arg1}
    METHOD_ADD(User::getDetailInfo, "/{id}/detailinfo", Get);  //path is /api/v1/User/{arg1}/detailinfo
    METHOD_ADD(User::newUser, "/{name}", Post);                 //path is /api/v1/User/{arg1}
    METHOD_LIST_END
    //your declaration of processing function maybe like this:
    void getInfo(const HttpRequestPtr &req, std::function<void(const HttpResponsePtr &)> &&callback, int userId) const;
    void getDetailInfo(const HttpRequestPtr &req, std::function<void(const HttpResponsePtr &)> &&callback, int userId) const;
    void newUser(const HttpRequestPtr &req, std::function<void(const HttpResponsePtr &)> &&callback, std::string &&userName);
  public:
    User()
    {
        LOG_DEBUG << "User constructor!";
    }
};
} // namespace v1
} // namespace api

As you can see, users can use the HttpController to map paths and parameters at the same time. This is a very convenient way to create a RESTful API application.

In addition, you can also find that all handler interfaces are in asynchronous mode, where the response is returned by a callback object. This design is for performance reasons because in asynchronous mode the drogon application can handle a large number of concurrent requests with a small number of threads.

After compiling all of the above source files, we get a very simple web application. This is a good start. For more information, please visit the wiki

Cross-compilation

Drogon supports cross-compilation, you should define the CMAKE_SYSTEM_NAME in toolchain file, for example:

set(CMAKE_SYSTEM_NAME Linux)
set(CMAKE_SYSTEM_PROCESSOR arm)

You can disable building options for examples and drogon_ctl by settings BUILD_EXAMPLES and BUILD_CTL to OFF in the toolchain file.

Building options

Drogon provides some building options, you can enable or disable them by setting the corresponding variables to ON or OFF in the cmake command line, cmake file etc...

Option nameDescriptionDefault value
BUILD_CTLBuild drogon_ctlON
BUILD_EXAMPLESBuild examplesON
BUILD_ORMBuild ormON
COZ_PROFILINGUse coz for profilingOFF
BUILD_SHARED_LIBSBuild drogon as a shared libOFF
BUILD_DOCBuild Doxygen documentationOFF
BUILD_BROTLIBuild BrotliON
BUILD_YAML_CONFIGBuild yaml configON
USE_SUBMODULEUse trantor as a submoduleON

Contributions

This project exists thanks to all the people who contribute code.

Code contributors

Every contribution is welcome. Please refer to the contribution guidelines for more information.

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

白日梦AI

白日梦AI提供专注于AI视频生成的多样化功能,包括文生视频、动态画面和形象生成等,帮助用户快速上手,创造专业级内容。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

讯飞绘镜

讯飞绘镜是一个支持从创意到完整视频创作的智能平台,用户可以快速生成视频素材并创作独特的音乐视频和故事。平台提供多样化的主题和精选作品,帮助用户探索创意灵感。

Project Cover

讯飞文书

讯飞文书依托讯飞星火大模型,为文书写作者提供从素材筹备到稿件撰写及审稿的全程支持。通过录音智记和以稿写稿等功能,满足事务性工作的高频需求,帮助撰稿人节省精力,提高效率,优化工作与生活。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号