ClassyConfig
Inject your config variables into methods, so they are as close to usage as possible.
None: print(version) # Use Pydantic Models for your config class Author(BaseModel): username: str email: str lucky_number: int # Resolve default values based on your config def print_author(author: Author = ConfigParam("author", Author)) -> None: print(author) # Allows for nested values def print_value(value: int = ConfigParam("nested.value", int)) -> None: print(value)">
from classy_config import BaseModel, ClassyConfig, ConfigParam # Create your global config manager (example config.json below) config = ClassyConfig(config_file="config.json") # Resolve default values based on your config def print_current_version(version: str = ConfigParam("version", str)) -> None: print(version) # Use Pydantic Models for your config class Author(BaseModel): username: str email: str lucky_number: int # Resolve default values based on your config def print_author(author: Author = ConfigParam("author", Author)) -> None: print(author) # Allows for nested values def print_value(value: int = ConfigParam("nested.value", int)) -> None: print(value)
{
"version": "0.0.1",
"author": {
"username": "GDWR",
"email": "[email protected]",
"lucky_number": 17
}
"nested": {
"value": 10
}
}
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