Reflective RapidJSON

The main goal of this project is to provide a code generator for serializing/deserializing C++ objects to/from JSON using Clang and RapidJSON.

Extending the generator to generate code for other formats or other applications of reflection is possible as well. A serializer/deserializer for a platform independent binary format has already been implemented.

It would also be possible to extend the library/generator to provide generic reflection (not implemented yet).

The following documentation focuses on the JSON (de)serializer. However, most of it is also true for the mentioned binary (de)serializer which works quite similarly.

Open for other reflection approaches

The reflection implementation used behind the scenes of this library is exchangeable:

This repository already provides a small, additional header to use RapidJSON with Boost.Hana. This allows to serialize or dezerialize simple data structures declared using the BOOST_HANA_DEFINE_STRUCT macro rather than requiring the code generator.
When native reflection becomes standardized, it would be possible to make use of it as well. In this case, the code generator could still act as a fallback.

Current state

The basic functionality is implemented, tested and documented:

Serialization and deserialization of datatypes listed under "Supported datatypes"
- Nesting and inheritance is possible
- Adapting 3rdparty structs/classes is supported
Basic error handling when deserializing
CMake macro to conveniently include the code generator into the build process
Allow to use Boost.Hana

Planned features and TODOs

There are still things missing which would likely be very useful in practise. The following list contains the open TODOs which are supposed to be most relevant in practise:

Allow to specify which member variables should be considered
- This could work similarly to Qt's Signals & Slots macros.
- But there should also be a way to do this for 3rdparty types.
- Note that currently all public, non-static member variables are (de)serialized.
Support getter/setter methods
- Allow to serialize the result of methods
- Allow to pass a deserialized value to a method
Validate enum values when deserializing
Untie serialization and deserialization

For a full list of further ideas, see TODOs.md.

Supported datatypes

The following table shows the mapping of supported C++ types to supported JSON types:

C++ type	JSON type
custom structures/classes	object
`bool`	true/false
signed and unsigned integral types	number
`float` and `double`	number
`enum` and `enum class`	number
`std::string`	string
`std::string_view`	string/null
`const char *`	string/null
iteratable lists (`std::vector`, `std::list`, ...)	array
sets (`std::set`, `std::unordered_set`, `std::multiset`, ...)	array
`std::pair`, `std::tuple`	array
`std::unique_ptr`, `std::shared_ptr`, `std::optional`	depends/null
`std::map`, `std::unordered_map`, `std::multimap`, `std::unordered_multimap`	object
`std::variant`	object
`JsonSerializable`	object

Remarks

Raw pointers are not supported. This prevents forgetting to free memory which would have to be allocated when deserializing.
For the same reason const char * and std::string_view are only supported for serialization.
Enums are (de)serialized as their underlying integer value. When deserializing, it is currently not checked whether the present integer value is a valid enumeration item.
The JSON type for smart pointers and std::optional depends on the type the pointer/optional refers to. It can also be null for null pointers or std::optional without value.
If multiple std::shared_ptr instances point to the same object this object is serialized multiple times. When deserializing those identical objects, it is currently not possible to share the memory (again). So each std::shared_ptr will point to its own copy. Note that this limitation is not present when using binary (de)serialization instead of JSON.
For deserialization
- iteratables must provide an emplace_back method. So deserialization of eg. std::forward_list is currently not supported.
- custom types must provide a default constructor.
- constant member variables are skipped.
It is possible to treat custom types as set/map using the macro REFLECTIVE_RAPIDJSON_TREAT_AS_MAP_OR_HASH, REFLECTIVE_RAPIDJSON_TREAT_AS_MULTI_MAP_OR_HASH, REFLECTIVE_RAPIDJSON_TREAT_AS_SET or REFLECTIVE_RAPIDJSON_TREAT_AS_MULTI_SET.
The key type of std::map, std::unordered_map, std::multimap and std::unordered_multimap must be std::string.
An array is used to represent the multiple values of an std::multimap and std::unordered_multimap (for consistency also when there is only one value present). This is because the JSON RFC says that "The names within an object SHOULD be unique".
An std::variant is represented by an object like {"index": ..., "data": ...} where index is the zero-based index of the alternative held by the variant and data the value held by the variant. The type of data is null for std::monostate and otherwise deduced as usual.
For custom (de)serialization, see the section below.
The binary (de)serializer supports approximately the same C++ types but obviously maps them to a platform independent binary representation rather than a JSON type.

Usage

This example shows how the library can be used to make a struct serializable:

#include <reflective_rapidjson/json/serializable.h>

// define structures, eg.
struct TestObject : public ReflectiveRapidJSON::JsonSerializable<TestObject> {
    int number;
    double number2;
    vector<int> numbers;
    string text;
    bool boolean;
};
struct NestingObject : public ReflectiveRapidJSON::JsonSerializable<NestingObject> {
    string name;
    TestObject testObj;
};
struct NestingArray : public ReflectiveRapidJSON::JsonSerializable<NestingArray> {
    string name;
    vector<TestObject> testObjects;
};

// serialize to JSON
NestingArray obj{ ... };
cout << "JSON: " << obj.toJson().GetString();

// deserialize from JSON
const auto obj = NestingArray::fromJson(...);

// in exactly one of the project's translation units
#include "reflection/code-defining-structs.h"

Note that the header included at the bottom must be generated by invoking the code generator appropriately, eg.:

reflective_rapidjson_generator \
    --input-file "$srcdir/code-defining-structs.cpp" \
    --output-file "$builddir/reflection/code-defining-structs.h"

There are further arguments available, see:

reflective_rapidjson_generator --help

Mixing with direct RapidJSON usage and further notes

It is of course possible to mix automatic serialization/deserialization with direct RapidJSON usage. This can be done by invoking the push and pull functions within the ReflectiveRapidJSON::JsonReflector namespace directly.

The push functions are used on serialization to populate intermediate data structures for the serializer of the RapidJSON library. The intermediate JSON document can also easily be obtained via JsonSerializable<Type>::toJsonDocument().

Note that this means a copy of the provided data will be made. That includes all strings as well. Currently there is no way to use RapidJSON's copy-free SetString-overloads instead. As a consequence the mentioned intermediate JSON document can be serialized without causing any further read accesses to the actual data structures.

The pull functions are used to populate your data structures from intermediate data structures produced by the parser of RapidJSON. Also in this case a copy will be made so only owning data structures can be used when deserializing (see remarks regarding supported datatypes).

Binary (de)serialization

It works very similar to the example above. Just use the BinarySerializable class instead (or in addition):

#include <reflective_rapidjson/binary/serializable.h>
struct TestObject : public ReflectiveRapidJSON::BinarySerializable<TestObject>

Invoking code generator with CMake macro

It is possible to use the provided CMake macro to automate the code generator invocation:

# find the package and make macro available
find_package(reflective_rapidjson REQUIRED)
list(APPEND CMAKE_MODULE_PATH ${REFLECTIVE_RAPIDJSON_MODULE_DIRS})
include(ReflectionGenerator)

# "link" against reflective_rapidjson
# it is a header-only lib so this will only add the required include paths
# to your target
target_link_libraries(mytarget PRIVATE reflective_rapidjson)

# invoke macro
add_reflection_generator_invocation(
    INPUT_FILES code-defining-structs.cpp
    GENERATORS json binary
    OUTPUT_LISTS LIST_OF_GENERATED_HEADERS
    CLANG_OPTIONS_FROM_TARGETS mytarget
)

This will produce the file code-defining-structs.h in the directory reflection in the current build directory. So make sure the current build directory is added to the include directories of your target. The default output directory can also be overridden by passing OUTPUT_DIRECTORY custom/directory to the arguments.

It is possible to specify multiple input files at once. A separate output file is generated for each input. The output files will always have the extension .h, independently of the extension of the input file.

The full paths of the generated files are also appended to the variable LIST_OF_GENERATED_HEADERS which then can be added to the sources of your target. Of course this can be skipped if not required/wanted.

The GENERATORS argument specifies the generators to run. Use json to generate code for JSON (de)serialization and binary to generate code for binary (de)serialization. As shown in the example, multiple generators can be specified at a time.

The macro will also automatically pass Clang's resource directory which is detected by invoking clang -print-resource-dir. To adjust that, just set the cache variable REFLECTION_GENERATOR_CLANG_RESOURCE_DIR before including the module.

For an explanation of the CLANG_OPTIONS_FROM_TARGETS argument, read the next section.

Passing Clang options

It is possible to pass additional options to the Clang tool invocation used by the code generator. This can be done using the --clang-opt argument or the CLANG_OPTIONS argument when using the CMake macro.

For example, additional definitions could be added using --clang-opt -DSOME_DEFINE -DANOTHER_DEFINE. But it is actually possible to pass anything from clang --help, including the -X... options.

Specifying Clang's resource directory

In case you get a massive number of errors, ensure Clang's resource directory can be located. Clang documentation:

The default location to look for builtin headers is in a path $(dirname /path/to/tool)/../lib/clang/3.3/include relative to the tool binary.

To adjust the default location, just add eg. --clang-opt -resource-dir /usr/lib/clang/5.0.1 to the arguments.

Pass options from regular targets

It makes most sense to specify the same options for the code generator as during the actual compilation. This way the code generator uses the same flags, defines and include directories as the compiler and hence behaves like the compiler.
When using the CMake macro, it is possible to automatically pass all compile flags, compile definitions and include directories from certain targets to the code generator. Those targets can be specified using the macro's CLANG_OPTIONS_FROM_TARGETS argument.

Notes regarding cross-compilation

For cross compilation, it is required to build the code generator for the platform you're building on.
Since the code generator is likely not required under the target platform, you should add -DNO_GENERATOR:BOOL=ON to the CMake arguments when building Reflective RapidJSON for the target platform.
When using the add_reflection_generator_invocation macro, you need to set the following CMake cache variables:
- REFLECTION_GENERATOR_EXECUTABLE:FILEPATH=/path/to/reflective_rapidjson_generator
  - specifies the path of the code generator executable built for the platform you're building on
  - only required if the executable is not in the path anyways
- REFLECTION_GENERATOR_TRIPLE:STRING=machine-vendor-operatingsystem
  - specifies the GNU platform triple for the target platform
  - examples for cross compiling with mingw-w64 under GNU/Linux:
    x86_64-w64-mingw32, i686-w64-mingw32
- REFLECTION_GENERATOR_INCLUDE_DIRECTORIES:STRING=/custom/prefix/include
  - implicit include directories for target platform
  - example for cross compiling with mingw-w64 under GNU/Linux:
    /usr/lib/gcc/x86_64-w64-mingw32/7.2.1/include;/usr/x86_64-w64-mingw32/include/c++/7.2.1/x86_64-w64-mingw32;/usr/x86_64-w64-mingw32/include
The Arch Linux packages mentioned at the end of the README file also include mingw-w64 variants which give a concrete example how cross-compilation can be done.

Using Boost.Hana instead of the code generator

The same example as above. However, this time Boost.Hana is used - so it doesn't require invoking the generator.

#include <reflective_rapidjson/json/serializable-boosthana.h>

// define structures using BOOST_HANA_DEFINE_STRUCT, eg.
struct TestObject : public JsonSerializable<TestObject> {
    BOOST_HANA_DEFINE_STRUCT(TestObject,
        (int, number),
        (double, number2),
        (vector<int>, numbers),
        (string, text),
        (bool, boolean)
    );
};
struct NestingObject : public JsonSerializable<NestingObject> {
    BOOST_HANA_DEFINE_STRUCT(NestingObject,
        (string, name),
        (TestObject, testObj)
    );
};
struct NestingArray : public JsonSerializable<NestingArray> {
    BOOST_HANA_DEFINE_STRUCT(NestingArray,
        (string, name),
        (vector<TestObject>, testObjects)
    );
};

// serialize to JSON
NestingArray obj{ ... };
cout << "JSON: " << obj.toJson().GetString();

// deserialize from JSON
const auto obj = NestingArray::fromJson(...);

So beside the BOOST_HANA_DEFINE_STRUCT macro, the usage remains the same.

Disadvantages

Use of ugly macro required
No context information for errors like type-mismatch available
Inherited members not considered
Proper support for enums is unlikely

Enable reflection for 3rd party classes/structs

It is obvious that the previously shown examples do not work for classes defined in 3rd party header files as it requires adding an additional base class.

To work around this issue, one can use the REFLECTIVE_RAPIDJSON_MAKE_JSON_SERIALIZABLE macro. It will enable the toJson and fromJson methods for the specified class in the ReflectiveRapidJSON::JsonReflector namespace:

// somewhere in included header
struct ThridPartyStruct
{ ... };

// somewhere in own header or source file
REFLECTIVE_RAPIDJSON_MAKE_JSON_SERIALIZABLE(ThridPartyStruct)

// (de)serialization
ReflectiveRapidJSON::JsonReflector::toJson(...).GetString();
ReflectiveRapidJSON::JsonReflector::fromJson<ThridPartyStruct>("...");

The code generator will emit the code in the same way as if JsonSerializable was used.

By the way, the functions in the ReflectiveRapidJSON::JsonReflector namespace can also be used when inheriting from JsonSerializable (instead of the member functions).

(De)serializing private members

By default, private members are not considered for (de)serialization. However, it is possible to enable this by adding friend methods for the helper functions of Reflective RapidJSON.

To make things easier, there's a macro provided:

struct SomeStruct : public JsonSerializable<SomeStruct> {
    REFLECTIVE_RAPIDJSON_ENABLE_PRIVATE_MEMBERS(SomeStruct);

public:
    std::string publicMember = "will be (de)serialized anyways";

private:
    std::string privateMember = "will be (de)serialized with the help of REFLECTIVE_RAPIDJSON_ENABLE_PRIVATE_MEMBERS macro";
};

Caveats

It will obviously not work for 3rd party structs.
This way to allow (de)serialization of private members must be applied when using Boost.Hana and there are any private members present. The reason is that accessing the private members can currently not prevented when using Boost.Hana.

Custom (de)serialization

Sometimes it is appropriate to implement custom (de)serialization. For instance, a custom object representing a time value should likely be serialized as a string rather than an object containing the internal structure.

An example for such custom (de)serialization can be found in the file json/reflector-chronoutilities.h. It provides (de)serialization of DateTime and TimeSpan objects from the C++ utilities library mentioned under dependencies.

Versioning

JSON (de)serializer

The JSON (de)serializer doesn't support versioning at this point. It'll simply read/write the members present in the struct. Additional members (which were e.g. present in older/newer versions of the struct) are ignored when reading and in consequence dropped when writing.

Binary (de)serializer

The binary (de)serializer supports very experimental versioning. Otherwise adding/removing members is a breaking change. The versioning looks like this:

// enable definition of the macros shown below (otherwise use long macros defined in
// `lib/versioning.h`)
#define REFLECTIVE_RAPIDJSON_SHORT_MACROS

#include <reflective_rapidjson/binary/serializable.h>

// example struct where version is *not* serialized/deserialized; defaults to version from
// outer scope when reading/writing, defaults to version 0 on top-level
struct Nested : public BinarySerializable<Nested> { //
    std::uint32_t foo; // will be read/written in any case

as_of_version(3):
    std::uint32_t bar; // will be read/written if outer scope version is >= 3
};

// example struct where version is serialized/deserialized; defaults to version 3 when writing
struct Example : public BinarySerializable<Example, 3> {
    Nested nested;      // will be read/written in any case, version is "propagated down"
    std::uint32_t a, b; // will be read/written in any case

until_version(2):
    std::uint32_t c, d; // will be read/written if version is <= 2

as_of_version(3):
    std::uint32_t e, f; // will be read/written if version is >= 3

as_of_version(4):
    std::uint32_t g;    // will be read/written if version is >= 4
};

The version specified as template argument is also assumed to be the highest supported version. If a higher version is encountered during deserialization, BinaryVersionNotSupported is thrown and the deserialization aborted.

Note that the versioning is mostly untested at this point.

Remarks

Static member variables and member functions are currently ignored by the generator.
It is currently not possible to ignore a specific member variable.

Further examples

Checkout the test cases for further examples. Relevant files are in the directories lib/tests and generator/tests.
There's also my tag editor, which uses Reflective RapidJSON to provide a JSON export. See json.h and mainfeatures.cpp#exportToJson.

Architecture

The following diagram gives an overview about the architecture of the code generator and wrapper library around RapidJSON:

blue: classes from LibTooling/Clang
grey: conceivable extension or use

Install instructions

Dependencies

The following dependencies are required at build time. Note that Reflective RapidJSON itself and none of these dependencies are required at runtime by an application which makes use of Reflective RapidJSON.

C++ compiler and C++ standard library supporting at least C++17
the CMake build system
LibTooling from Clang for the code generator (optional when using Boost.Hana)
RapidJSON for JSON (de)serialization
C++ utilities for various helper functions

Optional

Boost.Hana for using BOOST_HANA_DEFINE_STRUCT instead of code generator
CppUnit for building and running the tests
Doxygen for generating API documentation
Graphviz for diagrams in the API documentation

Remarks

It is not required to use CMake as build system for your own project. However, when using a different build system, there is no helper for adding the code generator to the build process provided (so far).
I usually develop using the latest version of those dependencies. So it is recommend to get the the latest versions as well although very likely older versions might work as well. When adapting to new versions of LLVM/Clang I usually take care that it also still works with previous versions.
The binary (de)serializer requires C++ utilities at runtime. So when using it, it is required to link against C++ utilities.

How to build

1. Install dependencies

Install all required dependencies. Under a typical GNU/Linux system most of these dependencies can be installed via the package manager. Otherwise follow the links in the "Dependencies" section above.

C++ utilities is likely not available as package. However, it is possible to build C++ utilities together with reflective-rapidjson to simplify the build process. The following build script makes use of this. (To use system C++ utilities, just skip any lines with "c++utilities" in the following examples.)

2. Make dependencies available

When installing (some) of the dependencies at custom locations, it is likely neccassary to tell CMake where to find them. If you installed everything using packages provided by the system, you can skip this step of course.

To specify custom locations, just set some environment variables before invoking CMake. This can likely be done in your IDE settings and of course at command line. Here is a Bash example:

export PATH=$CUSTOM_INSTALL_PREFIX/bin:$PATH
export CMAKE_PREFIX_PATH=$CUSTOM_INSTALL_PREFIX:$CMAKE_PREFIX_PATH
export CMAKE_LIBRARY_PATH=$CUSTOM_INSTALL_PREFIX/lib:$CMAKE_LIBRARY_PATH
export CMAKE_INCLUDE_PATH=$CUSTOM_INSTALL_PREFIX/include:$CMAKE_INCLUDE_PATH

There are also a lot of useful variables that can be specified as CMake arguments. It is also possible to create a toolchain file.

3. Get sources, eg. using Git:

cd $SOURCES
git clone https://github.com/Martchus/cpp-utilities.git c++utilities
git clone https://github.com/Martchus/reflective-rapidjson.git

If you don't want to build the development version, just checkout the desired version tag.

4. Run the build script

Here is an example for building with GNU Make:

cd $BUILD_DIR
# generate Makefile
cmake \
 -DCMAKE_BUILD_TYPE:STRING=Release \
 -DCMAKE_INSTALL_PREFIX:PATH="/final/install/prefix" \
 -DBUNDLED_CPP_UTILITIES_PATH:PATH="$SOURCES/c++utilities" \
 "$SOURCES/reflective-rapidjson"
# build library and generators
make
# build and run tests (optional, requires CppUnit)
make check
# build tests but do not run them (optional, requires CppUnit)
make tests
# generate API documentation (optional, requires Doxygen)
make apidoc
# install header files, libraries and generator
make install DESTDIR="/temporary/install/location"

Add eg. -j$(nproc) to make arguments for using all cores.

Packages

Arch Linux
- for PKGBUILDs checkout my GitHub repository or the AUR
- there is also a binary repository
Tumbleweed
- RPM *.spec files and binaries are available via openSUSE Build Service
  - latest releases: download page, project page
  - Git master: download page, project page
Windows
- for mingw-w64 PKGBUILDs checkout my GitHub repository

These packages show the required dependencies and commands to build. So they might be useful for making Reflective RapidJSON available under other platforms, too.

Copyright notice and license

All code is licensed under GPL-2-or-later.

Files

README.md

Latest commit

History

README.md

File metadata and controls

Reflective RapidJSON

Open for other reflection approaches

Current state

Planned features and TODOs

Supported datatypes

Remarks

Usage

Mixing with direct RapidJSON usage and further notes

Binary (de)serialization

Invoking code generator with CMake macro

Passing Clang options

Specifying Clang's resource directory

Pass options from regular targets

Notes regarding cross-compilation

Using Boost.Hana instead of the code generator

Disadvantages

Enable reflection for 3rd party classes/structs

(De)serializing private members

Caveats

Custom (de)serialization

Versioning

JSON (de)serializer

Binary (de)serializer

Remarks

Further examples

Architecture

Install instructions

Dependencies

Optional

Remarks

How to build

1. Install dependencies

2. Make dependencies available

3. Get sources, eg. using Git:

4. Run the build script

Packages

Copyright notice and license