JBenda / inkcpp

Inkle Ink C++ Runtime with JSON>Binary Compiler
MIT License
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inkcpp

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Inkle Ink C++ Runtime with JSON -> Binary Compiler.

Ink Proofing Test Results: https://jbenda.github.io/inkcpp/proof

Doxygen Documentation: https://jbenda.github.io/inkcpp/html

Project Goals

Current Status

Run inkcpp_cl.exe -p myfile.json to execute a compiled Ink JSON file in play mode. It can also operate on .ink files but inklecate.exe must be in the same folder or in the PATH. inklecate can be downloaded from the official release page and will be downloaded from CMake at configure time (located at build/unreal/inkcpp/Resources/inklecate). Or do it automatically with the INKCPP_INKLECATE=OS CMake flag. (It will be downloaded to <build-dir>/inklecate/<os>/ and will be installed with cmake --install . --component cl)

Without the -p flag, it'll just compile the JSON/Ink file into InkCPP's binary format (see the Wiki on GitHub).

All features of ink 1.1 are supported, and checked with ink-proof.

In addition a UE Plugin inclusive BluePrints are provided and python bindings based on pybind11.

KeyFeatures: snapshots, observers, binding ink functions, support ink function fallback

Unreal Plugin

InkCPP is available via the UE Marketplace.

Alternativly is the latest version of the UE plugin can be downloaded from the release page (unreal.zip). Place the content of this file at your plugin folder of your UE project and at the next start up it will be intigrated.

A example project can be found here. And here the Documentation.

Code for the Unreal plugin is located in the unreal directory. In order to install it, run cmake --install . --component unreal --prefix Path/To/Unreal/Plugins/ which will add an inkcpp folder there with the .uplugin, the code for the UClasses, and all the inkcpp source files required. config.h will automatically detect it is being built in an Unreal plugin environment and disable STL and enable Unreal extensions (FString support, Unreal asserts, CityHash, etc.).

If you compile the UE Plugin by your self feel free to visit the wiki page for a more debug oriented build process.

Use standalone

  1. Grep the current version from the release page depending on your OS (e.g. macos-cl).
  2. unpack it to a location found by your path
  3. run your story: inkcpp-cl -p story.json
  4. if you want to compile .ink flies directly make sure inklecate is in your path. If you not have it you can grep it from the official page

Nice features for testing:

Including in C++ Code

Instructions:

  1. Download the for your OS macthing lib archive from the release page (e.g. linux-lib).
  2. The following must be linked into your build solution for your C++ to compile correctly:
    • include/ink: contains important shared headers.
      • For a Visual Studio project, link this directory as an Include Directory in VC++ Directories.
    • lib/inkcpp.lib and lib/inkcpp_compiler.lib: contains the library code for the InkCPP runner and compiler, respectively.
      • For a Visual Studio project, link these files as Additional Dependencies in Linker->Input.
      • You don't need to link the compiler if you're not using it within your program.
  3. Reference the headers in your code like so:

include <ink/story.h>

include <ink/runner.h>

include <ink/choice.h>

6. if you use cmake checkout the (wiki)[https://github.com/JBenda/inkcpp/wiki/building#cmake-example] for including the library via cmake

### Example

```cpp
#include <ink/story.h>
#include <ink/runner.h>
#include <ink/choice.h>

using namespace ink::runtime;

int MyInkFunction(int a, int b) { return a + b; }

...

// Load ink binary story, generated from the inkCPP compiler
story* myInk = story::from_file("test.bin");

// Create a new thread
runner thread = myInk->new_runner();

// Register external functions (glue automatically generated via templates)
thread->bind("my_ink_function", &MyInkFunction);

// Write to cout
while(thread->can_continue())
    std::cout << thread->getline();

// Iterate choices
for(const choice& c : *thread) {
    std::cout << "* " << c.text() << std::endl;
}

// Pick the first choice
thread->choose(0);

Configuring and Building (CMake)

To configure the project...

  1. Install CMake
  2. Create a folder called build
  3. From the build folder, run cmake ..

CMake will then generate the necessary build files for your environment. By default, it generates Visual Studio projects and solutions on Windows and Makefiles on Mac and Linux. You can change this using CMake's command line options (see cmake --help). It supports pretty much anything.

The documentation can be build iff Doxygen is installed with cmake --build . --target doc. The documentation can then be found in at html/index.html.

To build, either run the generated buildfiles OR you can use cmake --build . --config <Release|Debug> from the build folder to automatically execute the relevant toolchain.

To install the different components use cmake --install . --component <lib|cl|unreal>

For a more in depth installation description please checkout the wiki.

Troubleshooting

If you recieve an error like "Mismatch Detected for Runtime Library," it means you are probably using the Release version of the .lib files, but are running under a Debug configuration. To fix this, you can manually copy the .lib and .pdb files from build/inkcpp/Debug and/or build/inkcpp_compiler/Debug after running the build process again with --config Debug (see above). Then, you can add separate Debug and Release directories in the installed package folder, and change the paths based on your selected configuration in Visual Studio or otherwise, so that it links the Debug .lib for the Debug build, and the Release .lib for the Release build.

Running Tests

To enable testing set the CMake flag INKCPP_TEST=ON. If you do not have inklecate at your path you can set INKCPP_INKLECATE=OS to download und use the current supported verision. Run ctest -C Release from the build folder to execute unit tests configured with CMake. Use ctest -V -Release for more verbose error output. Do not forgett that the C libs are only testet if INKCPP_C=ON is set.

mkdir build; cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DINKCPP_TEST=ON -DINKCPP_INKLECATE=OS
cmake --build . --config Release
ctest -C Release

To test the python bindings use:

pip install .
python -m pip install build pytest
python -m build
python -m pip install dist/*.whl --user
# if inklecate is not in the same directory / inside Path set INKLECATE enviroment variable
export INKLECATE=<PATH-TO-inklecate> # unix
set INKLECTATE=<PATH-TO-inklecate>   # windows
python -m pytest

Right now this only executes the internal unit tests which test the functions of particular classes. Soon it'll run more complex tests on .ink files using ink-proof.

Python Bindings

The easy way to start is installing it with pip: pip install inkcpp_py. An example can be found at example.py. To build it from source use:

git clone --recurse-submodules https://github.com/JBenda/inkcpp.git
pip install .

The python bindnigs are defined in inkcpp_py subfolder.

Dependencies

The compiler depends on Nlohmann's JSON library and the C++ STL.

The runtime does not depend on either. If INK_ENABLE_STL is defined then STL extensions are added such as stream operators and std::string support. If INK_ENABLE_UNREAL, then FStrings, Delegates and other Unreal classes will be supported.

NOTE: There is still some lingering C standard library calls in the runtime. I will be guarding them with an INK_ENABLE_CSTD or something soon.