vantage6.client.subclients.store.algorithm_store.AlgorithmStoreSubClient#

class AlgorithmStoreSubClient(parent)#

Bases: SubClient

Subclient for the algorithm store.

__init__(parent)#

Methods

__init__(parent)

create(algorithm_store_url, name[, ...])

Link an algorithm store to one or more collaborations.

delete([id_])

Delete an algorithm store.

get(id_)

Get an algorithm store by its id.

list([name, url, collaboration, page, per_page])

List all algorithm stores.

set(id_)

"

update([id_, name, collaboration, ...])

Update an algorithm store.
create(algorithm_store_url, name, collaboration=None, all_collaborations=False, force=False)#

Link an algorithm store to one or more collaborations.

Parameters:

  • algorithm_store_url (str) – The url of the algorithm store.

  • name (str) – The name of the algorithm store.

  • collaboration (int, optional) – The id of the collaboration to link the algorithm store to. If not given and client.setup_collaboration() was called, the collaboration id from the setup is used. If neither is the case, all_collaborations must be set to True explicitly.

  • all_collaborations (bool, optional) – If True, the algorithm store is linked to all collaborations. If False, the collaboration_id must be given.

  • force (bool, optional) – If True, the algorithm store will be linked to the collaboration even for localhost urls - which is not recommended in production scenarios for security reasons.

Returns:

The algorithm store.

Return type:

dict

delete(id_=None)#

Delete an algorithm store.

Parameters:

id (int) – The id of the algorithm store. If not given, the algorithm store must be set with client.store.set().

Returns:

The deleted algorithm store.

Return type:

dict

get(id_)#

Get an algorithm store by its id.

Parameters:

id (int) – The id of the algorithm store.

Returns:

The algorithm store.

Return type:

dict

list(name=None, url=None, collaboration=None, page=1, per_page=10)#

List all algorithm stores.

Parameters:

  • name (str, optional) – Filter by name (with LIKE operator)

  • url (str, optional) – Filter by algorithm store url (with LIKE operator)

  • collaboration (int, optional) – Filter by collaboration id. If not given and client.setup_collaboration() was called, the collaboration id from the setup is used. Otherwise, all algorithm stores are returned.

  • page (int, optional) – The page number to retrieve.

  • per_page (int, optional) – The number of items to retrieve per page.

Returns:

The algorithm stores.

Return type:

list[dict]

set(id_)#

” Set the algorithm store to use for the client.

Parameters:

id (int) – The id of the algorithm store.

Returns:

The algorithm store.

Return type:

dict

update(id_=None, name=None, collaboration=None, all_collaborations=None)#

Update an algorithm store.

Parameters:

  • id (int) – The id of the algorithm store. If not given, the algorithm store must be set with client.store.set().

  • name (str, optional) – The name of the algorithm store.

  • collaboration (int, optional) – The id of the collaboration to link the algorithm store to.

  • all_collaborations (bool, optional) – If True, the algorithm store is linked to all collaborations. If False, the collaboration_id must be given.

Returns:

The updated algorithm store.

Return type:

dict