sparkworksrest 1.0.15
A client library for the sparkworks rest api
Keywords: Swagger,SparkWorks Core API

A client library for accessing data through the `SparkWorks Rest
API <https://api.sparkworks.net/swagger-ui.html>`__.

SparkWorks Rest API Python Client
=================================

This Python package is automatically generated by the `Swagger
Codegen <https://github.com/swagger-api/swagger-codegen>`__ project:

-  API version: v2.0
-  Build package: io.swagger.codegen.languages.PythonClientCodegen For
   more information, please visit http://www.sparkworks.net/

Requirements.
-------------

Python 2.7 and 3.4+

Installation & Usage
--------------------

pip install
~~~~~~~~~~~

.. code:: sh

   pip install sparkworksrest

(you may need to run ``pip`` with root permission:
``sudo pip install sparkworksrest``)

Then import the package:

.. code:: python

   import sparkworks_client 

Python Client Documentation
---------------------------

Documentation for the client can be found on
`Github <https://sparkworksnet.github.io/sparkworksrest/>`__

Setting up the access to the SparkWorks Rest API
------------------------------------------------

.. code:: python


   import sparkworks_client

   # Configure OAuth2 access token for authorization: oauth2
   configuration = sparkworks_client.Configuration("username", "password", "client_id", "client_secret")
   configuration.connect()

   # create an instance of the API class
   api_client = sparkworks_client.ApiClient(configuration)

   #initialize the clients needed
   unit_api_instance = sparkworks_client.UnitApi(api_client)
   group_api_instance = sparkworks_client.GroupApi(api_client)
   phenomenon_api_instance = sparkworks_client.PhenomenonApi(api_client)
   gateway_api_instance = sparkworks_client.GatewayApi(api_client)
   resource_api_instance = sparkworks_client.ResourceApi(api_client)
   command_api_instance = sparkworks_client.CommandApi(api_client)
   registry_api_instance = sparkworks_client.RegistryApi(api_client)
   data_api_instance = sparkworks_client.DataApi(api_client)
   participatorySensing_api_instance = sparkworks_client.ParticipatorySensingApi(api_client)

Examples
--------

Example 1: List Resources and Access Resource Data
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

   import time

   import sparkworks_client

   # Configure OAuth2 access token for authorization: oauth2
   configuration = sparkworks_client.Configuration("username", "password", "client_id", "client_secret")
   configuration.connect()
   print("access_token: " + configuration.access_token)

   # create an instance of the API class

   api_client = sparkworks_client.ApiClient(configuration)

   resource_api_instance = sparkworks_client.ResourceApi(api_client)
   unit_api_instance = sparkworks_client.UnitApi(api_client)
   phenomenon_api_instance = sparkworks_client.PhenomenonApi(api_client)
   data_api_instance = sparkworks_client.DataApi(api_client)

   # list all Resources
   resources = resource_api_instance.get_resources()

   print("====resource====")
   # retrieve resource by uuid
   resource = resource_api_instance.get_resource_by_uuid(resources[0].uuid)
   print(resource)

   print("====phenomenon====")
   phenomenon = phenomenon_api_instance.get_phenomenon_by_uuid(resource.phenomenon_uuid)
   print(phenomenon)

   print("====unit====")
   unit = unit_api_instance.get_unit_by_uuid(resource.unit_uuid)
   print(unit)

   time_from = (int(round(time.time())) - 5 * 60 * 60) * 1000
   time_to = int(round(time.time())) * 1000

   print("====data 5min====")
   # retrieve data - granularity 5min
   data = data_api_instance.query_time_range({
       "queries": [
           {
               "from": time_from,
               "to": time_to,
               "granularity": "5min",
               "resourceUuid": resource.uuid
           }
       ]
   })

   for d in data.results.values():
       for datum in d.data:
           print("5min", datum)

   print("====data hour====")
   # retrieve data - granularity hour
   data = data_api_instance.query_time_range({
       "queries": [
           {
               "from": time_from,
               "to": time_to,
               "granularity": "hour",
               "resourceUuid": resource.uuid
           }
       ]
   })

   for d in data.results.values():
       for datum in d.data:
           print("hour", datum)

Example 2: List Groups and Group Resources
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

   import sparkworks_client

   # Configure OAuth2 access token for authorization: oauth2
   configuration = sparkworks_client.Configuration("username", "password", "client_id", "client_secret")
   configuration.connect()
   print("access_token: " + configuration.access_token)

   # create an instance of the API class

   api_client = sparkworks_client.ApiClient(configuration)

   resource_api_instance = sparkworks_client.ResourceApi(api_client)
   group_api_instance = sparkworks_client.GroupApi(api_client)

   print("====groups====")
   # list all groups
   groups = group_api_instance.get_all_groups()
   for group in groups:
       print(group)

   print("====group[0].resources====")
   # retrieve resources by group uuid
   resources = group_api_instance.get_group_resources(groups[0].uuid)
   for resource in resources:
       print(resource)