SubscriptionClient

class moloni.api.SubscriptionClient(environment: MoloniBaseUrl = MoloniBaseUrl.PROD, *, auth_config: AuthConfig = AuthConfig(client_id=None, client_secret=None, refresh_token=None, username=None, password=None), version: str = 'v1', validate: bool = True, log_level: str = 'INFO')

get_one(self, data: SubscriptionGetOneModel | dict, **kwargs)

Parameters:

data (Union[SubscriptionGetOneModel, dict]) –

A model instance or dictionary containing the following fields:

• company_id (Union[str, int]): company_id of the SubscriptionGetOneModel.

Returns:

The response from the API.

Return type:

ApiResponse

Models:

class moloni.api.SubscriptionGetOneModel(*, company_id: str | int)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

company_id: str | int

request(self) → ApiResponse

Make an API request using the initialized client.

This method checks if the _api_client attribute is set (i.e., if the client has been initialized via the connect method). If the client is initialized, it will make an API request using the provided method name and the model’s data, excluding the _api_client attribute itself from the request payload. If the client is not initialized, it will raise a ValueError.

Returns:

The response from the API.

Raises:

ValueError – If the client is not initialized via the connect method.

Example

# Assuming you have a model instance request_model and an API client api_client

..code-block:: python

with request_model.connect(auth_config=auth_config) as api:

response = api.request()

# The above example assumes that the connect method has been used to initialize the client. # The request method then sends the model’s data to the API and returns the API’s response.

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'company_id': FieldInfo(annotation=Union[str, int], required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(context: Any, /) → None

We need to both initialize private attributes and call the user-defined model_post_init method.