bcachet/jsonrpc11

JSON-RPC C++ library based on json11 library.

jsonrpcpp

JSON-RPC server based on json11 library.

Goal

#include <cstdio>
#include <iostream>
#include <numeric>
#include <list>

#include <jsonrpcpp.hpp>
using namespace jsonrpcpp;

const int ESCAPE = 27;

double add(std::list<double>const& values) {
  return std::accumulate(values.begin(), values.end(), 0.0);
}

std::string say(std::string const& what, int const & times)
{
  std::list<std::string> words = std::string(times, what);
  return std::accumulate(words.begin(), words.end(), std::string());
}

int main() {
  JsonRpcServer server(8080, TCP);
  server.register_method<double, double>("add", {Json::NUMBER}, add);
  server.register_method("say", {{"what", Json::STRING}, {"times", Json::NUMBER}}, std::function<std::string(std::string, int)>(say));
  server.start();
  while (std::getchar() != ESCAPE) {
  }
  server.stop();
  return 0;
}

You can send order to the server with cURL command:

curl --data "{\"jsonrpc\":\"2.0\",\"method\":\"add\",\"id\":1,\"params\":[1, 1, 1]}" localhost:8080

Build environment

We use cmake to build library and associated tests. Be sure you have installed it.

We use CPM to handle our dependencies. Every dependency is defined with CPM_AddModule function. Dependencies informations are stored in ./CMakeLists.txt when needed by our library or in ./tests/CMakeLists.txt when needed to build our tests.

We use Catch library to write our tests and our specs.

Build/Run tests

Then we will run tests/run-tests.sh bash script to generate build environment, build our libraries and its dependencies and run tests.

./tests/run.sh

This command perform 3 steps:

• Generate build environment thanks to CMake
• Build library/tests
• Run tests

1st step is perform once, when no build environment exist yet. You can force its execution with "-g" flag

./tests/run.sh -g

Generate documentation

We use Sphinx and Doxygen to generate our documentation.

./docs/generate.sh

Documentation written inside /**rst */ block are converted to RST file that can be added to Sphinx documentation.

You will need a Python environment in order to Sphinx command. If not present, Sphinx will be installed using PIP package manager.