An incomplete Rust Franca IDL parser crate based on nom.
One goal of this library is to allow generating Rust SomeIP bindings and clients similar to capicxx-someip-tools. This is certainly possible using Xtend and the existing generator, obviously this provides the advantage that all Franca parsing is already taken care of. This approach was also chosen in Rust-based SOME/IP implementation for robust automotive software for just those reasons. Furthermore this allows relying on all the work of the common-api-runtime. So this would be a perfectly reasonable approach.
The advantage of doing all this in Rust should be that one can run the parsing and code generation at Rust project build time similar to tonic-build. Another chance is providing a static executable with no dependencies for generating the code. This should lower the barrier to entry for new developers. All together, let's see how this turns out. If you want something stable and proven you should go with franca_arc_tools.
Add this to your Cargo.toml
:
[dependencies]
franca = "0.1"
use franca::parser::f_model;
fn main() {
const INPUT: &str = "
package test
interface HelloWorld {
version { major 1 minor 0 }
method sayHello {
in {
String name
}
out {
String value_a
Double value_b
UInt32 value_c
}
}
}
";
let (_remaining, model) = f_model(INPUT).unwrap();
println!("{:#?}", model);
}
Will print:
FModel {
name: "test",
imports: [],
interfaces: [
FInterface {
name: "HelloWorld",
comment: None,
version: Some(
FVersion {
major: 1,
minor: 0,
},
),
attributes: [],
methods: [
FMethod {
name: "sayHello",
comment: None,
fire_and_forget: None,
in_args: [
FArgument {
name: "name",
comment: None,
type: FTypeRef {
predefined: Some(
String,
),
},
array: None,
},
],
out_args: [
FArgument {
name: "value_a",
comment: None,
type: FTypeRef {
predefined: Some(
String,
),
},
array: None,
},
FArgument {
name: "value_b",
comment: None,
type: FTypeRef {
predefined: Some(
Double,
),
},
array: None,
},
FArgument {
name: "value_c",
comment: None,
type: FTypeRef {
predefined: Some(
UInt32,
),
},
array: None,
},
],
error_enum: None,
errors: None,
},
],
broadcasts: [],
},
],
type_collections: [],
}