Python Pydantic Configuration

This approach uses a Pydantic-oriented syntax to define the client’s class. While it is more verbose and enforces strict typing, it is the most flexible way to work with fitrequest. All other variations are built upon this foundation, providing greater opportunities for customization.

from pathlib import Path
from pydantic import Field
from fitrequest.fit_var import ValidFitVar
from fitrequest.fit_config import FitConfig
from fitrequest.method_config import MethodConfig
from fitrequest.method_config_family import MethodConfigFamily


# Custom FitConfig
class RestApiConfig(FitConfig):
    class_name: str = 'RestApiClient'
    class_docstring: str = 'Awesome class generated with fitrequest.'

    base_url: ValidFitVar = 'https://test.skillcorner.fr'
    client_name: str = 'rest_api'
    method_docstring: str = 'Calling endpoint: {endpoint}'

    method_config_list: list[MethodConfig | MethodConfigFamily] = Field(
        default_factory=lambda: [
            MethodConfigFamily(
                base_name='items',
                endpoint='/items/',
                add_async_method=True,
            ),
            MethodConfig(
                name='get_item',
                endpoint='/items/{item_id}',
            ),
            MethodConfig(
                name='get_item_details',
                endpoint='/items/{item_id}/details/{detail_id}',
            ),
        ]
    )

# New class created from FitConfig
ClassDefault = RestApiConfig().fit_class
ClassWithSpecificArgs = RestApiConfig(base_url='https://staging.skillcorner.fr:8080').fit_class

# Client instances from generated classes
client_default = ClassDefault()
client_with_specific_args = ClassWithSpecificArgs()