C++ GraphQL schema service generator
But GraphQL services are only implemented on the server. When using React Native or React JS in a hybrid application, you typically have a native application which hosts islands or entire pages of UI rendered with React components, and you might like to display content that you've cached offline or that you otherwise generate on the client without needing to declare a separate data interface or require a server round trip to load it.
This project includes a
graphqlservicelibrary with the core functionality of a GraphQL service and a
schemagenutility to generate types for your custom GraphQL service schema definition. Once you implement the pure virtual methods on the object interfaces and add hooks to the Relay Network Layer/Apollo Terminating Link to call your service, you can use the same GraphQL client code to access your native data source or a GraphQL service online. You might even be able to share some more of that code between a progressive web app and your native/hybrid app.
I created a couple of sample projects that work with the latest version to demonstrate integrating the schema.today.graphql service into an Electron app. They're available under my personal account, feel free to use either or both of these as a starting point to integrate your own generated service with Node or Electron. PRs with links to your own samples are always welcome.
electron-cppgraphqland exposes an instance of GraphiQL on top of it.
I've tested this on Windows with both Visual Studio 2017 and 2019, and on Linux using an Ubuntu 20.04 LTS instance running in WSL with both gcc 9.3.0 and clang 10.0.0. The key compiler requirement is support for C++17 including std::filesystem, earlier versions of gcc and clang may not have enough support for that.
The easiest way to get all of these and to build
cppgraphqlgenin one step is to use microsoft/vcpkg. To install with vcpkg, make sure you've pulled the latest version and then run
vcpkg install cppgraphqlgen(or
cppgraphqlgen:x86-windows-static, etc. depending on your platform). To install just the dependencies and work in a clone of this repo, you'll need some subset of
vcpkg install pegtl boost-program-options rapidjson gtest. It works for Windows, Linux, and Mac, but if you want to try building for another platform (e.g. Android or iOS), you'll need to do more of this manually.
Manual installation will work best if you clone the GitHub repos for each of the dependencies and follow the installation instructions for each project. You might also be able to find pre-built packages depending on your platform, but the versions need to match.
The build system for this project uses CMake. You will need to have CMake (at least version 3.8.0) installed, and the library dependencies need to be where CMake can find them. Otherwise you need to disable the options which depend on them.
I also picked a few other projects as dependencies, most of which are optional when consuming this project. If you redistribute any binaries built from these libraries, you should still follow the terms of their individual licenses. As of this writing, this library and all of its redistributable dependencies are available under the MIT license, which means you need to include an acknowledgement along with the license text.
The core library depends on
graphqlpegand it references the PEGTL headers itself at build time. Both of those mean it depends on PEGTL as well.
GRAPHQL_USE_RAPIDJSON=OFFin your CMake configuration to do that.
I'm using Boost for
schemagen -?to get a list of options. Many of the files in the samples directory were generated with
schemagen, you can look at samples/CMakeLists.txt for a few examples of how to call it:
Usage: schemagen [options] Command line options: --version Print the version number -? [ --help ] Print the command line options -v [ --verbose ] Verbose output including generated header names as well as sources -s [ --schema ] arg Schema definition file path -p [ --prefix ] arg Prefix to use for the generated C++ filenames -n [ --namespace ] arg C++ sub-namespace for the generated types --source-dir arg Target path for the Schema.cpp source file --header-dir arg Target path for the Schema.h header file --no-stubs Generate abstract classes without stub implementations --separate-files Generate separate files for each of the types --no-introspection Do not generate support for Introspection
I've tested this with several versions of Boost going back to 1.65.0. I expect it will work fine with most versions of Boost after that. The Boost dependencies are only used by the
schemagenutility at or before your build, so you probably don't need to redistribute it or the Boost libraries with your project.
If you are building shared libraries on Windows (DLLs) using vcpkg or
BUILD_SHARED_LIBS=ONin CMake, be aware that this adds a runtime dependency on a Boost DLL. The
schemagentool won't run without it. However, in addition to automating the install of Boost, vcpkg also takes care of installing the dependencies next to
schemagen.exewhen building the Windows and UWP shared library targets (the platform triplets which don't end in
GRAPHQL_BUILD_TESTS=OFFin your CMake configuration.
See GraphQLService.h for the base types implemented in the
graphql::servicenamespace. Take a look at TodayMock.h and TodayMock.cpp to see a sample implementation of a custom schema defined in schema.today.graphql for testing purposes.
There are some more targeted documents in the doc directory:
All of the generated files are in the samples directory. There are two different versions of the generated code, one which creates a single pair of files (
samples/unified/), and one which uses the
schemagento generate individual header and source files (
samples/separate/) for each of the object types which need to be implemeneted. The only difference between TodayMock.h with and without
IMPL_SEPARATE_TODAYdefined should be that the
--separate-filesoption generates a TodayObjects.h convenience header which includes all of the inidividual object header along with the rest of the schema in TodaySchema.h.
Use the Open Folder command to open the root of the repo. If you've installed the dependencies with vcpkg and run its Visual Studio integration command, Visual Studio should know how to build each of the targets in this project automatically.
Once you've built the project Visual Studio's Test Explorer window should list the unit tests, and you can run all of them from there.
Your experience will vary depending on your build toolchain. The same instructions should work for any platform that CMake supports. These basic steps will build and run the tests. You can add options to build in another target directory, change the config from
Release, use another build tool like
Ninja, etc. If you are using vcpkg to install the dependencies, remember to specify the
-DCMAKE_TOOLCHAIN_FILE=...option when you run the initial build configuration.
"mkdir build && cd build"
"cmake --build ."You can repeat this step to rebuild your changes.
"ctest ."Run this frequently, and make sure it passes before commits.
You can then optionally install the public outputs by configuring it with
cmake -DCMAKE_BUILD_TYPE=Release ..-
cmake --build . --target installYou probably need to use
sudoon Unix to do this.
If you want to try an interactive version, you can run
samples/sampleand paste in queries against the same mock service or load a query from a file on the command line.
Security issues and bugs should be reported privately, via email, to the Microsoft Security Response Center (MSRC) at [email protected]. You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Further information, including the MSRC PGP key, can be found in the Security TechCenter.
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