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        "description": "A client library for accessing data through the `SparkWorks Rest\nAPI <https://api.sparkworks.net/swagger-ui.html>`__.\n\nSparkWorks Rest API Python Client\n=================================\n\nThis Python package is automatically generated by the `Swagger\nCodegen <https://github.com/swagger-api/swagger-codegen>`__ project:\n\n-  API version: v2.0\n-  Build package: io.swagger.codegen.languages.PythonClientCodegen For\n   more information, please visit http://www.sparkworks.net/\n\nRequirements.\n-------------\n\nPython 2.7 and 3.4+\n\nInstallation & Usage\n--------------------\n\npip install\n~~~~~~~~~~~\n\n.. code:: sh\n\n    pip install sparkworksrest\n\n(you may need to run ``pip`` with root permission:\n``sudo pip install sparkworksrest``)\n\nThen import the package:\n\n.. code:: python\n\n    import sparkworks_client \n\nPython Client Documentation\n---------------------------\n\nDocumentation for the client can be found on\n`Github <https://sparkworksnet.github.io/sparkworksrest/>`__\n\nSetting up the access to the SparkWorks Rest API\n------------------------------------------------\n\n.. code:: python\n\n\n    import sparkworks_client\n\n    # Configure OAuth2 access token for authorization: oauth2\n    configuration = sparkworks_client.Configuration(\"username\", \"password\", \"client_id\", \"client_secret\")\n    configuration.connect()\n\n    # create an instance of the API class\n    api_client = sparkworks_client.ApiClient(configuration)\n\n    #initialize the clients needed\n    unit_api_instance = sparkworks_client.UnitApi(api_client)\n    group_api_instance = sparkworks_client.GroupApi(api_client)\n    phenomenon_api_instance = sparkworks_client.PhenomenonApi(api_client)\n    gateway_api_instance = sparkworks_client.GatewayApi(api_client)\n    resource_api_instance = sparkworks_client.ResourceApi(api_client)\n    command_api_instance = sparkworks_client.CommandApi(api_client)\n    registry_api_instance = sparkworks_client.RegistryApi(api_client)\n    data_api_instance = sparkworks_client.DataApi(api_client)\n    participatorySensing_api_instance = sparkworks_client.ParticipatorySensingApi(api_client)\n\nExamples\n--------\n\nExample 1: List Resources and Access Resource Data\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    import time\n\n    import sparkworks_client\n\n    # Configure OAuth2 access token for authorization: oauth2\n    configuration = sparkworks_client.Configuration(\"username\", \"password\", \"client_id\", \"client_secret\")\n    configuration.connect()\n    print(\"access_token: \" + configuration.access_token)\n\n    # create an instance of the API class\n\n    api_client = sparkworks_client.ApiClient(configuration)\n\n    resource_api_instance = sparkworks_client.ResourceApi(api_client)\n    unit_api_instance = sparkworks_client.UnitApi(api_client)\n    phenomenon_api_instance = sparkworks_client.PhenomenonApi(api_client)\n    data_api_instance = sparkworks_client.DataApi(api_client)\n\n    # list all Resources\n    resources = resource_api_instance.get_resources()\n\n    print \"====resource====\"\n    # retrieve resource by uuid\n    resource = resource_api_instance.get_resource_by_uuid(resources[0].uuid)\n    print resource\n\n    print \"====phenomenon====\"\n    phenomenon = phenomenon_api_instance.get_phenomenon_by_uuid(resource.phenomenon_uuid)\n    print phenomenon\n\n    print \"====unit====\"\n    unit = unit_api_instance.get_unit_by_uuid(resource.unit_uuid)\n    print unit\n\n    time_from = (int(round(time.time())) - 5 * 60 * 60) * 1000\n    time_to = int(round(time.time())) * 1000\n\n    print \"====data 5min====\"\n    # retrieve data - granularity 5min\n    data = data_api_instance.query_time_range({\n        \"queries\": [\n            {\n                \"from\": time_from,\n                \"to\": time_to,\n                \"granularity\": \"5min\",\n                \"resourceUuid\": resource.uuid\n            }\n        ]\n    })\n\n    for d in data.results.values():\n        for datum in d.data:\n            print \"5min\", datum\n\n    print \"====data hour====\"\n    # retrieve data - granularity hour\n    data = data_api_instance.query_time_range({\n        \"queries\": [\n            {\n                \"from\": time_from,\n                \"to\": time_to,\n                \"granularity\": \"hour\",\n                \"resourceUuid\": resource.uuid\n            }\n        ]\n    })\n\n    for d in data.results.values():\n        for datum in d.data:\n            print \"hour\", datum\n\nExample 2: List Groups and Group Resources\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    import sparkworks_client\n\n    # Configure OAuth2 access token for authorization: oauth2\n    configuration = sparkworks_client.Configuration(\"username\", \"password\", \"client_id\", \"client_secret\")\n    configuration.connect()\n    print(\"access_token: \" + configuration.access_token)\n\n    # create an instance of the API class\n\n    api_client = sparkworks_client.ApiClient(configuration)\n\n    resource_api_instance = sparkworks_client.ResourceApi(api_client)\n    group_api_instance = sparkworks_client.GroupApi(api_client)\n\n    print \"====groups====\"\n    # list all groups\n    groups = group_api_instance.get_all_groups()\n    for group in groups:\n        print group\n\n    print \"====group[0].resources====\"\n    # retrieve resources by group uuid\n    resources = group_api_instance.get_group_resources(groups[0].uuid)\n    for resource in resources:\n        print resource\n",
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