bayesline.api.equity.AsyncDataTypeUploaderApi

class bayesline.api.equity.AsyncDataTypeUploaderApi

Bases: ABC

Exposes different datasets of an uploader.

Datasets are completely isolated spaces to upload data of the same type.

Methods

__init__()
create_dataset(dataset)	Creates a new dataset.
create_or_replace_dataset(dataset)	Creates a new dataset and deletes the old one if it exists.
get_dataset(dataset)	Parameters dataset: str The dataset of the uploader to obtain. Must be one of the datasets returned by get_datasets.
get_datasets()	Returns list[str]: A sorted list of available datasets.
get_or_create_dataset(dataset)	Gets the dataset if it exists, otherwise creates it.

abstract async get_datasets() → list[str]

Returns

list[str]:

A sorted list of available datasets.

abstract async get_dataset(dataset: str) → AsyncUploaderApi

Parameters

dataset: str

The dataset of the uploader to obtain. Must be one of the datasets returned by get_datasets.

Raises

KeyError

if the given dataset does not exist

Returns

AsyncUploaderApi:

abstract async create_dataset(dataset: str) → AsyncUploaderApi

Creates a new dataset.

Parameters

dataset: str

The dataset to create.

Raises

ValueError

if the given dataset already exists

Returns

AsyncUploaderApi:

The uploader for the new dataset.

async get_or_create_dataset(dataset: str) → AsyncUploaderApi

Gets the dataset if it exists, otherwise creates it.

Parameters

dataset: str

The dataset to get or create.

Returns

AsyncUploaderApi:

The uploader for the dataset.

async create_or_replace_dataset(dataset: str) → AsyncUploaderApi

Creates a new dataset and deletes the old one if it exists.

Parameters

dataset: str

The dataset to create.

Returns

AsyncUploaderApi:

The uploader for the dataset.