This document provides an overview of Kaitai Struct project from a developer’s perspective: general architecture, infrastructure, etc.
The heart of Kaitai Struct project is obviously a reference compiler. As all compilers, it "compiles" or "translates" input files (Kaitai Struct YAML, .ksy) into output files (source code in target programming languages, like C++, Java, etc).
In order to do this translation, compiler performs several major steps:
-
Loading of YAML files and parsing them into in-memory tree of objects
-
"Pre-compilation" - a set of preparatory actions (such as type inferring, resolving names, compile-time sanity checks), which are the same for all target languages
-
"Compilation" - traversal of the KSY object tree in certain order, rendering source code in target language by application of certain "templates"
Before these 3 keys steps are performed, there is always some entry point to get us started. There are multiple, platform-dependent entry points in the compiler:
-
JVM: io.kaitai.struct.JavaMain does:
-
command-line argument parsing, which results in a
CLIConfig
object -
runs JavaMain.run with it
-
runs JavaMain.compileOneInput for every .ksy source file specified, doing lots of wrapping to properly handle regular output and exceptions
-
-
JS: io.kaitai.struct.MainJs has the main
compile
method
Current implementation bundles steps 1 and 2 into one invocation:
-
For JVM, it is implemented in
JavaKSYParser.localFileToSpecs
-
For JS, it is implemented in
JavaScriptKSYParser.yamlToSpecs
- although note that whole JS is heavily async, so it returnsFuture[ClassSpecs]
, notClassSpecs
object itself.
The aim of this stage is, given a list of file names to load
(typically, these would be .ksy files) to load them, parse them as
YAML, and convert them to all into elements of
io.kaitai.struct.format
- typically various *Spec
things, like
ClassSpec
, AttributeSpec
, etc. End result is a single ClassSpecs
object, which incorporates one or many ClassSpec
which define user
types.
Loading YAML files is currently, unfortunately, done by external library in platform-specific manner:
-
For JVM, it calls SnakeYAML. Everything related to this step is encapsulated in
JavaKSYParser
. -
For JS, it calls: TODO
We’re working on bringing pure Scala YAML parser, but it’s a relatively distant goal: see #229.
Conversion from YAML objects to Spec-objects is typically performed by
invocation of ClassSpec.fromYaml
.
The aim of this stage is to do preparatory language-independent
actions. The whole step is invoked from Main.precompile
, but
individual substeps are implemented by classes in
io.kaitai.struct.precompile
. Please refer to per-class documentation
(if it exists) to every particular step.
Precompilation modifies (enriches) existing ClassSpecs object. Alternatively, it might throw an exception if some of the validation checks failed (TODO: exception structure).
Compilation is a final step, which converts enriched ClassSpecs into source code in target language.
This task is obviously dependent on target language, thus it is performed by language-specific class.
There are 2 main variations of implementing these:
-
Classes which inherit
AbstractCompiler
directly, such asGraphVizCompiler
, do everything from scratch and organize generation flow in some arbitrary manner. -
Most traditional languages (such as Java, Ruby, Python, C++, etc), which has something in common, use ready-made
ClassCompiler
, which is a simple skeleton for compiling something resembling typical understanding of a "class" with members/methods. To introduce language-specific behavior, one can:-
Provide implementation of
LanguageCompiler
, which is acts like a template with many different simple methods like "start new file", "start new class", "finish a class", etc. -
Subclass
ClassCompiler
(likeGoClassCompiler
), overriding some of the control flow.
-
During compilation process, we occasionally need to do translation of
KS expression language (which is target language-agnostic) into actual
target language snippets. "Translators" are per-language classes
reside in io.kaitai.struct.translators
which implement that
translation. The most important method they provide is translate
,
which gets KS expression and is expected to return a string in target
language.
TODO: explain about translators which do not generated only a string (i.e. Go).