vk_schema_codegen

Python codegeneration for vk objects json schema (https://json-schema.org/)

Setup

Before launching the codegeneration you should setup json schema directory and imports in generated files.

Imports are configured in this way at config/config.yaml:

object_models_imports:
  enum:
    None
  typing:
    - Any
    - List
    - Optional
    - Union
  pydantic:
    - BaseModel

which called in main.py file:

objects_imports: dict = CONFIG['object_models_imports']

Filepaths are configured in this way at config/config.yaml:

schema_objects_path:
  vk_schema/objects.json
schema_methods_path:
  vk_schema/methods.json

By default, files to parse comes from https://github.com/VKCOM/vk-api-schema but you can pass your own files, if their structure is the same as VK's.

Usage

Just

python __main__.py

Results of the codegeneration are stored in results/

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Each *_parser mostly is an independable parser with a simple interface. If you want to add your own parser make sure to make its interface like this:

parse_file(filepath, imports)

Details

Objects parser consists of three types of models:

1. Structure models - parse json schema into python classes with string representation. Those are stored in models/schema_objects
2. Representation models - string representation for writing, are included in structure models.
3. Titles - imports etc.

Please make sure to update tests as appropriate.

License

MIT