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JSON-RPC 2.0 Modern C++ Library

CI GitHub Release GitHub License

Welcome to the JSON-RPC 2.0 Modern C++ Library! This library provides a lightweight, modern C++ implementation of JSON-RPC 2.0 servers and clients. It is designed to be flexible, allowing integration with various transport layers. This library makes it easy to register methods and notifications, binding them to client logic efficiently.

✨ Features

  • Fully Compliant with JSON-RPC 2.0: Supports method calls, notifications, comprehensive error handling, and batch requests.
  • Modern and Lightweight: Leverages C++20 features with minimal dependencies, focusing solely on the JSON-RPC protocol.
  • Transport-Agnostic: Abstract transport layer allows use of provided implementations or custom ones.
  • Simple JSON Integration: Uses nlohmann/json for easy JSON object interaction, requiring no learning curve.
  • Flexible Handler Registration: Register handlers using std::function, supporting lambdas, function pointers, and other callable objects.

🚀 Getting Started

Prerequisites

  • Compiler: Any compiler with C++20 support.
  • Bazel: Version 7.0+ (for Bzlmod support).
  • CMake: Version 3.19+ (for CMake preset support, optional).
  • Conan: Version 2.0+ (optional).

Using Bazel

To include this library in your project with Bazel, ensure you are using Bazel 7.0 or later, as Bzlmod is enabled by default. Add the following to your MODULE.bazel file:

http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_archive(
  name = "jsonrpc",
  urls = ["https://github.com/hankhsu1996/jsonrpc-cpp-lib/archive/refs/tags/v1.0.0.tar.gz"],
  strip_prefix = "jsonrpc-cpp-lib-1.0.0",
  sha256 = "a381dc02ab95c31902077793e926adbb0d8f67eadbc386b03451e952d50f0615",
)

Optional: Using Conan 2

For projects using Conan, create a conanfile.txt in your project directory with the following content:

[requires]
jsonrpc-cpp-lib/1.0.0

[generators]
CMakeDeps
CMakeToolchain

Optional: Using CMake FetchContent

If you prefer using CMake, add the library to your project with the following in your CMakeLists.txt:

include(FetchContent)
FetchContent_Declare(
  jsonrpc-cpp-lib
  GIT_REPOSITORY https://github.com/hankhsu1996/jsonrpc-cpp-lib.git
  GIT_TAG v1.0.0
)
FetchContent_MakeAvailable(jsonrpc-cpp-lib)

📖 Usage and Examples

Creating a JSON-RPC Server

Here’s how to create a simple JSON-RPC server:

using jsonrpc::server::Server;
using jsonrpc::transport::StdioTransport;
using Json = nlohmann::json;

// Create a server with an stdio transport
Server server(std::make_unique<StdioTransport>());

// Register a method named "add" that adds two numbers
server.RegisterMethodCall("add", [](const std::optional<Json> &params) {
  int result = params.value()["a"] + params.value()["b"];
  return Json{{"result", result}};
});

// Register a notification named "stop" to stop the server
server.RegisterNotification("stop", [&server](const std::optional<Json> &) {
  server.Stop();
});

// Start the server
server.Start();

To register a method, you need to provide a function that takes optional Json parameters and returns a Json object containing either a result or error field. The error field must follow the JSON-RPC spec, including code and message. For simplicity, this library does not provide a more structured way to create error responses.

Creating a JSON-RPC Client

Here’s how to create a JSON-RPC client:

using jsonrpc::client::Client;
using jsonrpc::transport::StdioTransport;
using Json = nlohmann::json;

// Create a client with a standard I/O transport
Client client(std::make_unique<StdioTransport>());
client.Start();

// Perform addition
auto response = client.SendMethodCall("add", Json({{"a", 10}, {"b", 5}}));
spdlog::info("Add result: {}", response.dump());

// Send stop notification
client.SendNotification("stop");

These examples demonstrate the basic usage of setting up a JSON-RPC server and client. For more examples and detailed usage, please refer to the examples folder.

🛠️ Developer Guide

Follow these steps to build, test, and set up your development environment. Bazel is the preferred method.

Option 1: Using Bazel (Preferred)

Step 1: Build the Project

bazel build //...

Step 2: Run Tests

bazel test //...

Option 2: Using CMake and Conan

Step 1: Install Dependencies

conan profile detect --force
conan install . --build=missing
conan install . -s build_type=Debug --build=missing

Step 2: Configure and Build

cmake --preset release
cmake --build --preset release

Step 3: Run Tests

ctest --preset release

Optional: Debug Configuration

For Debug configuration:

cmake --preset debug
cmake --build --preset debug
ctest --preset debug

Optional: CMake without Conan

If you prefer not to use Conan, you can build the project with CMake directly:

cmake -S . -B build
cmake --build build
ctest --test-dir build

Compilation Database

Generate the compile_commands.json file for tools like clang-tidy and clangd:

  • Bazel: Run bazel run @hedron_compile_commands//:refresh_all.
  • CMake: Simply build the project. The database will be generated automatically.

In both cases, the compile_commands.json file will be placed in the root directory.

🤝 Contributing

We welcome contributions! If you have suggestions or find any issues, feel free to open an issue or pull request.

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.