Metadata-Version: 2.1
Name: tvb-rest-client
Version: 2.0a1
Summary: A helper package for preparing and sending requests towards the TVB REST API
Home-page: http://www.thevirtualbrain.org
Author: Mihai Andrei, Lia Domide, Stuart Knock, Bogdan Neacsa, Paula Sansz Leon, Marmaduke Woodman
Author-email: tvb.admin@thevirtualbrain.org
License: GPL v3
Download-URL: https://github.com/the-virtual-brain/tvb-framework
Description: TVB REST client
        ===============
        
        The tvb-rest-client is a helper package built with the intention to simplify the client interaction with TVB REST API.
        
        All the logic necessary to prepare and send requests towards the REST server, is embeded under a client API.
        
        **GET** requests are sent from this python client using the **requests** library.
        
        For the **POST** requests, a client has to attach a file with some input configuration.
        Such a file is usually an **H5** in TVB specific format.
        Thus, tvb-rest-client has all the logic for preparing those H5 files and sending requests.
        
        Usage
        =====
        You should provide the URL towards the TVB REST server.
        For the following example, we will suppose TVB REST server runs on *http://localhost:9090*
        
        Accessing the client API entrypoint:
        ------------------------------------
        
        If the TVB REST server you want to access runs at another address, change the parameter in the bellow TVBClient instantiation.
        
        .. code-block:: python
        
            from tvb.interfaces.rest.client.tvb_client import TVBClient
            main_client = TVBClient("http://localhost:9090")
        ..
        
        
        Start using the client API to send requests, by calling different types of methods:
        
        - methods that return a list of DTOs
        
        .. code-block:: python
        
            list_of_users = main_client.get_users()
            list_of_user_projects = main_client.get_project_list(list_of_users[0].username)
            list_of_datatypes_in_project = main_client.get_data_in_project(list_of_user_projects[0].gid)
            list_of_operations_for_datatype = main_client.get_operations_for_datatype(list_of_datatypes_in_project[0].gid)
        ..
        
        - methdos that download data files locally, under a folder chosen by the client
        
        .. code-block:: python
        
            main_client.retrieve_datatype(list_of_datatypes_in_project[0].gid, download_folder)
        ..
        
        - methods that launch operations in the TVB server
            Such an operation requires the client to prepare the operation configuration and send it in an H5 file together with the requests.
        
            By using the client API, the user only needs to instantiate the proper Model class and send it as argument to the following method.
            It wraps the serialization of the Model inside the H5 and the attaching to the POST request.
        
            The example above launches a Fourier analyzer, we suppose the Fourier AlgorithmDTO is *list_of_operations_for_datatype[0]*.
        
        .. code-block:: python
        
            project_gid = list_of_user_projects[0].gid
            operation_module = list_of_operations_for_datatype[0].module
            operation_class = list_of_operations_for_datatype[0].classname
            model = FFTAdapterModel()
            # logic to fill the model with required attributes
            operation_gid = main_client.launch_operation(project_gid, operation_module, operation_class, model)
        ..
        
        - method to monitor the status of an operation
        
        .. code-block:: python
        
            status = main_client.get_operation_status(operation_gid)
        ..
Keywords: tvb rest client brain simulator neuroscience human animal neuronal dynamics models delay
Platform: UNKNOWN
Provides-Extra: postgres
Provides-Extra: test
