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> Yesterday I wrote a Python script to generate C code test cases.

I do this quite a bit. Basically, anytime there is something very boiler-platy (like HTTP APIs, configuration management, test cases, etc.) I write metadata in JSON that describes what I'm adding, and then at build time a python script will parse the metadata and generate all of the C or C++ which is then compiled. I even have the python generating comments in the generated C/C++!

I used to use Jinja2 for generating the C/C++ files, but now I just use f-strings in the latest version of vanilla Python3.




This is what Lisp/Scheme based languages use macros for -> to reduce boilerplate code. A lot of programmers hate DSL's, but using Python to generate test code is the same as using a DSL. The difference is, Python is a much bigger and more complicated DSL, than a test-macro will probably ever be.

There is nothing wrong with generating code in a pragmatic way. It is just strange to see all the time people using workarounds for things that a tiny DSL could probably solve better.


There's another advantage to using a high level language like python though - since the "source" is now JSON metadata which is decoupled from the code, I can use that metadata to generate other interesting things. For example, I can use python-docx to generate a Word document, for example (which my company requires for documentation tracking). Or, if the metadata is describing HTTP APIs, I can generate an OpenAPI document which can be fed into Swagger UI[1].

[1] https://swagger.io/tools/swagger-ui/


This is really interesting — nice work! Have you published any tooling as OSS or examples? If you haven’t seen it before, the Model Oriented Programming work by Pieter Hintjens is worth looking at.


Not yet. Most of the stuff I've done is internal to my company unfortunately. But just to give you an idea, if I were adding a new configuration parameter to our IoT device, I would add an object to a JSON array that looks like this:

    {
        "name": "backoff_mode",
        "group": "telemetry",
        "description": "We don't want to clog up networks with tons of failing attempts to send home telemetry. This parameter configures the device to back off attempts according to the specified mode",
        "cpptype": "std::string",
        "enum": ["none", "linear", "exponential"],
        "default_value": "exponential"
    }
At build time, a few things are generated, including a .h file with the following:

    struct telemetry_config {
        ...
        std::string backoff_mode = "exponential"; //Possible values: ["none", "linear", "exponential"]
    };
The boilerplate for getting and setting this parameter is also generated. Thus, just by adding that simple piece of metadata, all the boilerplate and documentation is generated and you as the developer can focus on the actual logic that needs to be implemented regarding this parameter.




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