2 releases
0.1.1 | Sep 10, 2024 |
---|---|
0.1.0 | Aug 24, 2024 |
#446 in Rust patterns
76 downloads per month
125KB
2.5K
SLoC
The Termite Data Model Generator is a crate for generating boiler plate code for data models.
The crate consists of two parts, the first is the data model itself. This is preferably imported from a yaml or json file into a DataModel object.
It can also be defined directly in code, however, this is not as readable or easy to write.
A DataModel object consist of a map of header and footer strings and the data types. The header and footer string are strings to add to the top and bottom of the generated files like for adding includes. The data types is a list of names and data for the user defined types defined for the data model and these are used to generated the data model file.
A data type consists of a base type (like struct, variant or enum) and a description and then it has the type data which describes all the specific information for that type.
The base types are:
Struct: A normal struct with a number of public fields (like a rust/c++ struct)
Array: A list of objects of the same type (like a rust/c++ vector)
Variant: Can be any of a number of different types, when parsing a variant it will attempt to parse the types from the beginning and stop when one is successful (like a c++ variant)
Enum: Can be any of a number of predefined enum types, each enum type can hold extra data by wrapping another type (like a rust enum)
ConstrainedType: Wraps another type and enforces constraints which only allows parsing if the constraints are respected.
The second part of the Termite crate is generating the code. For now it only supports c++ with the cpp module. From here there are functions to generate header files, (de)serialization and documentation.
Examples:
use termite_dmg as termite;
use indoc::formatdoc;
let yaml_model = formatdoc!("
data_types:
- name: PositiveDouble
data: !ConstrainedType
data_type: double
constraints:
- x > 0.0
- name: Point
description: A point in 2D space
data: !Struct
fields:
- name: x
data_type: double
default: !Default '0.0'
- name: y
data_type: double
default: !Default '0.0'
- name: id
data_type: int64_t
default: Optional
- name: Size
description: The size of a box
data: !Struct
fields:
- name: w
description: The width
data_type: PositiveDouble
default: Required
- name: h
description: The height
data_type: PositiveDouble
default: Required
- name: SizeVariant
description: Is either a Size or just a PositiveDouble if it is a square
data: !Variant
data_types:
- PositiveDouble
- Size
- name: SizeArray
data: !Array
data_type: SizeVariant
- name: Geometry
data: !Enum
types:
- name: Nothing
description: No geometry
- name: Sizes
description: A number of sizes
data_type: SizeArray
- name: Point
description: A point
data_type: Point
headers:
cpp: // My Header
footers:
cpp: // My Header
namespace:
- my_namespace
");
let model = termite::DataModel::import_yaml(&yaml_model).unwrap();
let cpp_model = termite::cpp::DataModel::new(model).unwrap();
let termite_hpp = termite::cpp::get_termite_dependency();
let termite_yaml_hpp = termite::cpp::get_yaml_interface();
let model_hpp = cpp_model.get_source("HEADER_GUARD", 2);
YAML file for loading a Geometry::Nothing
Nothing
YAML file for loading a Geometry::Sizes
Sizes:
- 1.0
- w: 2.0
h: 4.0
YAML file for loading a Geometry::Point
Point:
x: 2.0
Changelog
0.1.1
- Fixed bug where the namespace was not added to data types in the parsing code when those data types were custom types stopping the c++ code from compiling.
- Fixed bug where if a struct field was called x then it could not compile.
- Fixed bug where ContrainedType fields in structs with default values could not compile.
Dependencies
~2.2–3.5MB
~68K SLoC