Source code for

# -*- coding: utf-8 -*-
# TheVirtualBrain-Framework Package. This package holds all Data Management, and 
# Web-UI helpful to run brain-simulations. To use it, you also need to download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also
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# This program is free software: you can redistribute it and/or modify it under the
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import os

from tvb.basic.profile import TvbProfile
from tvb.core.entities.load import load_entity_by_gid
from import dao
from tvb.core.neocom.h5 import h5_file_for_index
from import AlgorithmService
from import AlgorithmDto
from import ServiceException
from import StorageInterface

[docs]class DatatypeFacade: def __init__(self): self.algorithm_service = AlgorithmService() self.storage_interface = StorageInterface()
[docs] @staticmethod def is_data_encrypted(): return StorageInterface.encryption_enabled()
[docs] def get_dt_h5_path(self, datatype_gid, public_key_path=None): index = load_entity_by_gid(datatype_gid) h5_path = h5_file_for_index(index).path file_name = os.path.basename(h5_path) if StorageInterface.encryption_enabled(): if public_key_path and os.path.exists(public_key_path): operation = dao.get_operation_by_id(index.fk_from_operation) project = dao.get_project_by_id(operation.fk_launched_in) folder_path = self.storage_interface.get_project_folder( self.storage_interface.inc_running_op_count(folder_path) self.storage_interface.sync_folders(folder_path) encrypted_h5_path = self.storage_interface.export_datatype_from_rest_server( h5_path, index, file_name, public_key_path) file_name = file_name.replace(StorageInterface.TVB_STORAGE_FILE_EXTENSION, StorageInterface.TVB_ZIP_FILE_EXTENSION) self.storage_interface.dec_running_op_count(folder_path) self.storage_interface.check_and_delete(folder_path) return encrypted_h5_path, file_name else: raise ServiceException('Client requested encrypted retrieval of data but the server has no' ' valid private key!') return h5_path, file_name
[docs] def get_datatype_operations(self, datatype_gid): categories = dao.get_launchable_categories(elimin_viewers=True) datatype = dao.get_datatype_by_gid(datatype_gid) _, filtered_adapters, _ = self.algorithm_service.get_launchable_algorithms_for_datatype(datatype, categories) return [AlgorithmDto(algorithm) for algorithm in filtered_adapters]
[docs] @staticmethod def get_extra_info(datatype_gid): extra_info = dao.get_datatype_extra_info(datatype_gid) if extra_info is None: return None return extra_info