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list_collaborations

list_collaborations(
    *,
    config_overrides: Optional[CleanRoomsClientConfig] = None,
    next_token: Optional[PaginationToken] = None,
    max_results: Optional[MaxResults] = None,
    member_status: Optional[FilterableMemberStatus] = None,
) -> ListCollaborationsOutput

Lists collaborations the caller owns, is active in, or has been invited to.

Parameters:

  • next_token (Optional[PaginationToken], default: None ) –

    The pagination token that's used to fetch the next set of results.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a `nextToken` even if the `maxResults` value has not been met.

  • member_status (Optional[FilterableMemberStatus], default: None ) –

    The caller's status in a collaboration.

Raises:

Source code in docs_src/capo_cleanrooms/_services/clean_rooms.py
def list_collaborations(
    self,
    *,
    config_overrides: Optional[CleanRoomsClientConfig] = None,
    next_token: Optional[
        "capo_cleanrooms.types.pagination_token.PaginationToken"
    ] = None,
    max_results: Optional["capo_cleanrooms.types.max_results.MaxResults"] = None,
    member_status: Optional[
        "capo_cleanrooms.types.filterable_member_status.FilterableMemberStatus"
    ] = None,
) -> "capo_cleanrooms.types.list_collaborations_output.ListCollaborationsOutput":
    """<p>Lists collaborations the caller owns, is active in, or has been invited to.</p>

    Args:
        next_token: <p>The pagination token that's used to fetch the next set of results.</p>
        max_results: <p>The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a `nextToken` even if the `maxResults` value has not been met.</p>
        member_status: <p>The caller's status in a collaboration.</p>

    Raises:
        capo_cleanrooms.errors.access_denied_exception.AccessDeniedException: <p>Caller does not have sufficient access to perform this action.</p>
        capo_cleanrooms.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
        capo_cleanrooms.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
        capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cleanrooms.types.list_collaborations_input.ListCollaborationsInput]",
    ) -> OperationResponse[
        "capo_cleanrooms.types.list_collaborations_output.ListCollaborationsOutput"
    ]:
        import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaborations

        output, http_response = (
            capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaborations.list_collaborations(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListCollaborations")
    )
    input_: capo_cleanrooms.types.list_collaborations_input.ListCollaborationsInput = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if member_status is not None:
        input_["member_status"] = member_status

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output