
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:
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
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.
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 name | Description | Default value |
|---|---|---|
| BUILD_CTL | Build drogon_ctl | ON |
| BUILD_EXAMPLES | Build examples | ON |
| BUILD_ORM | Build orm | ON |
| COZ_PROFILING | Use coz for profiling | OFF |
| BUILD_SHARED_LIBS | Build drogon as a shared lib | OFF |
| BUILD_DOC | Build Doxygen documentation | OFF |
| BUILD_BROTLI | Build Brotli | ON |
| BUILD_YAML_CONFIG | Build yaml config | ON |
| USE_SUBMODULE | Use trantor as a submodule | ON |
This project exists thanks to all the people who contribute code.
<a href="https://github.com/drogonframework/drogon/graphs/contributors"><img src="https://contributors-svg.opencollective.com/drogon/contributors.svg?width=890&button=false" alt="Code contributors" /></a>
Every contribution is welcome. Please refer to the contribution guidelines for more information.


职场AI,就用扣子
AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!


多风格AI绘画神器
堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。


零代码AI应用开发平台
零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
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。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号