Clang
This package provides a Julia language wrapper for libclang: the stable, C-exported interface to the LLVM Clang compiler. The libclang API documentation provides background on the functionality available through libclang, and thus through the Julia wrapper. The repository also hosts related tools built on top of libclang functionality.
Installation
Now, the package provides an out-of-box installation experience on Linux, macOS and Windows. You could simply install it by running:
pkg> add ClangC-bindings generator
The package includes a generator to create Julia wrappers for C libraries from a collection of header files. The following declarations are currently supported:
- constants: translated to Julia
constdeclarations - preprocessor constants: translated to
constdeclarations - function: translated to Julia ccall(
va_listand vararg argument are not supported) - struct: translated to Julia struct
- enum: translated to
CEnum - union: translated to Julia struct
- typedef: translated to Julia type alias to underlying intrinsic type
Here is a simple example:
using Clang
const LIBCLANG_INCLUDE = joinpath(@__DIR__, "..", "deps", "usr", "include", "clang-c") |> normpath
const LIBCLANG_HEADERS = [joinpath(LIBCLANG_INCLUDE, header) for header in readdir(LIBCLANG_INCLUDE) if endswith(header, ".h")]
wc = init(; headers = CLANG_HEADERS,
output_file = joinpath(@__DIR__, "libclang_api.jl"),
common_file = joinpath(@__DIR__, "libclang_common.jl"),
clang_includes = vcat(LIBCLANG_INCLUDE, CLANG_INCLUDE),
clang_args = ["-I", joinpath(LIBCLANG_INCLUDE, "..")],
header_wrapped = (root, current)->root == current,
header_library = x->"libclang",
clang_diagnostics = true,
)
run(wc)Backward compatibility
If you miss those old behaviors before v0.8, you could simply make the following change in your old generator script:
using Clang: CLANG_INCLUDE
using Clang.Deprecated.wrap_c
using Clang.Deprecated.cindexBuild a custom C-bindings generator
A custom C-bindings generator tends to be used on large codebases, often with multiple API versions to support. Building a generator requires some customization effort, so for small libraries the initial investment may not pay off.
The above-mentioned C-bindings generator only exposes several entry points for customization. In fact, it's actually not that hard to directly build your own C-bindings generator, for example, the following script is used for generating LibClang, you could refer to Tutorial for further details.
using Clang
const LIBCLANG_INCLUDE = joinpath(@__DIR__, "..", "deps", "usr", "include", "clang-c") |> normpath
const LIBCLANG_HEADERS = [joinpath(LIBCLANG_INCLUDE, header) for header in readdir(LIBCLANG_INCLUDE) if endswith(header, ".h")]
# create a work context
ctx = DefaultContext()
# parse headers
parse_headers!(ctx, LIBCLANG_HEADERS,
args=["-I", joinpath(LIBCLANG_INCLUDE, "..")],
includes=vcat(LIBCLANG_INCLUDE, CLANG_INCLUDE),
)
# settings
ctx.libname = "libclang"
ctx.options["is_function_strictly_typed"] = false
ctx.options["is_struct_mutable"] = false
# write output
api_file = joinpath(@__DIR__, "libclang_api.jl")
api_stream = open(api_file, "w")
for trans_unit in ctx.trans_units
root_cursor = getcursor(trans_unit)
push!(ctx.cursor_stack, root_cursor)
header = spelling(root_cursor)
@info "wrapping header: $header ..."
# loop over all of the child cursors and wrap them, if appropriate.
ctx.children = children(root_cursor)
for (i, child) in enumerate(ctx.children)
child_name = name(child)
child_header = filename(child)
ctx.children_index = i
# choose which cursor to wrap
startswith(child_name, "__") && continue # skip compiler definitions
child_name in keys(ctx.common_buffer) && continue # already wrapped
child_header != header && continue # skip if cursor filename is not in the headers to be wrapped
wrap!(ctx, child)
end
@info "writing $(api_file)"
println(api_stream, "# Julia wrapper for header: $header")
println(api_stream, "# Automatically generated using Clang.jl\n")
print_buffer(api_stream, ctx.api_buffer)
empty!(ctx.api_buffer) # clean up api_buffer for the next header
end
close(api_stream)
# write "common" definitions: types, typealiases, etc.
common_file = joinpath(@__DIR__, "libclang_common.jl")
open(common_file, "w") do f
println(f, "# Automatically generated using Clang.jl\n")
print_buffer(f, dump_to_buffer(ctx.common_buffer))
end
# uncomment the following code to generate dependency and template files
# copydeps(dirname(api_file))
# print_template(joinpath(dirname(api_file), "LibTemplate.jl"))LibClang
LibClang is a thin wrapper over libclang. It's one-to-one mapped to the libclang APIs. By using Clang.LibClang, all of the CX/clang_-prefixed libclang APIs are imported into the current namespace, with which you could build up your own tools from the scratch. If you are unfamiliar with the Clang AST, a good starting point is the Introduction to the Clang AST.