TN: R913-030
Langkit
Langkit (nickname for language kit) is a tool whose purpose is to make it easy to create syntactic and semantic analysis engines. Write a language specification in our Python DSL and Langkit will generate for you an Ada library with bindings for the C and Python programming languages.
The generated library is meant to provide a basis to write tooling, including tools working on potentially changing and incorrect code, such as IDEs.
The currently main Langkit user is Libadalang, a high performance semantic engine for the Ada programming language.
Dependencies
To use Langkit:
- The mako template system for Python (see
REQUIREMENTS.dev) - Clang-format
Note that for now, Langkit requires a Python 2.7 interpreter. That being said, Python3 support is planned and we should not be very far from it.
Install
There is no proper distribution for the langkit Python package, so just add the
top-level langkit directory to your PYTHONPATH in order to use it. Note that
this directory is self-contained, so you can copy it somewhere else.
Testing
First, make sure the langkit package is available from the Python interpreter (see Install). Then, in order to run the testsuite, launch the following command from the top-level directory:
$ scripts/interactive_testsuite
This is just a wrapper script passing convenient options to the real testsuite
driver that is in testsuite/testsuite.py.
If you want to learn more about this test driver's options (for instance to run
tests under Valgrind), add a -h flag.
Documentation
The developer and user's documentation for Langkit is in langkit/doc. You can
consult it as a text files or you can build it. For instance, to generate HTML
documents, run from the top directory:
$ make -C langkit/doc html
And then open the following file in your favorite browser:
langkit/doc/_build/html/index.html
Bootstrapping a new language engine
Nothing is more simple than getting an initial project skeleton to work on a new language engine. Imagine you want to create an engine for the Foo language, run from the top-level directory:
$ python langkit/create-project.py Foo
And then have a look at the created foo directory: you have minimal lexers
and parsers and a manage.py script you can use to build this new engine:
$ python foo/manage.py make
Here you are!
Developer tools
Langkit uses mako templates generating Ada, C and Python code. This can be hard
to read. To ease development, Vim syntax files are available under the utils
directory (see makoada.vim, makocpp.vim). Install them in your
$HOME/.vim/syntax directory to get automatic highlighting of the template
files.