[patch] version bump + fixed get-realtime-breakdown

docs/MetricsApi.md

@@ -16,7 +16,7 @@ Method | HTTP request | Description
 
 Get metric timeseries data
 
-Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value    * the third element is the number of views in the interval that have a valid metric value 
+Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value   * the third element is the number of views in the interval that have a valid metric value 
 
 ### Example
 
@@ -53,7 +53,7 @@ timeframe = ['timeframe_example'] # list[str] | Timeframe window to limit result
 filters = ['filters_example'] # list[str] | Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US`  (optional)
 measurement = 'measurement_example' # str | Measurement for the provided metric. If omitted, the default for the metric will be used. (optional)
 order_direction = 'order_direction_example' # str | Sort order. (optional)
-group_by = 'group_by_example' # str | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.  (optional)
+group_by = 'group_by_example' # str | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.  (optional)
 
     try:
         # Get metric timeseries data
@@ -72,7 +72,7 @@ Name | Type | Description  | Notes
  **filters** | [**list[str]**](str.md)| Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US`  | [optional] 
  **measurement** | **str**| Measurement for the provided metric. If omitted, the default for the metric will be used. | [optional] 
  **order_direction** | **str**| Sort order. | [optional] 
- **group_by** | **str**| Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.  | [optional] 
+ **group_by** | **str**| Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.  | [optional] 
 
 ### Return type
 

docs/RealTimeApi.md

@@ -50,7 +50,7 @@ with mux_python.ApiClient(configuration) as api_client:
     api_instance = mux_python.RealTimeApi(api_client)
     realtime_metric_id = 'current-concurrent-viewers' # str | ID of the Realtime Metric
 dimension = 'dimension_example' # str | Dimension the specified value belongs to (optional)
-timestamp = 3.4 # float | Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp. (optional)
+timestamp = 56 # int | Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp. (optional)
 filters = ['filters_example'] # list[str] | Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US`  (optional)
 order_by = 'order_by_example' # str | Value to order the results by (optional)
 order_direction = 'order_direction_example' # str | Sort order. (optional)
@@ -69,7 +69,7 @@ Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
  **realtime_metric_id** | **str**| ID of the Realtime Metric | 
  **dimension** | **str**| Dimension the specified value belongs to | [optional] 
- **timestamp** | **float**| Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp. | [optional] 
+ **timestamp** | **int**| Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp. | [optional] 
  **filters** | [**list[str]**](str.md)| Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US`  | [optional] 
  **order_by** | **str**| Value to order the results by | [optional] 
  **order_direction** | **str**| Sort order. | [optional] 

docs/SpacesApi.md

@@ -537,7 +537,7 @@ Name | Type | Description  | Notes
 
 Start a space broadcast
 
-Starts broadcasting a space to the associated destination.
+Starts broadcasting a space to the associated destination. Broadcasts can only be started when the space is `active` (when there are participants connected).
 
 ### Example
 

gen/generator-config.json

@@ -2,5 +2,5 @@
   "!!source": "https://github.com/OpenAPITools/openapi-generator/blob/master/docs/generators/python.md",
   "packageName": "mux_python",
   "projectName": "mux_python",
-  "packageVersion": "3.5.0"
+  "packageVersion": "3.5.1"
 }

mux_python/__init__.py

@@ -15,7 +15,7 @@
 
 from __future__ import absolute_import
 
-__version__ = "3.5.0"
+__version__ = "3.5.1"
 
 # import apis into sdk package
 from mux_python.api.assets_api import AssetsApi

mux_python/api/metrics_api.py

@@ -40,7 +40,7 @@ def __init__(self, api_client=None):
     def get_metric_timeseries_data(self, metric_id, **kwargs):  # noqa: E501
         """Get metric timeseries data  # noqa: E501
 
-        Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value    * the third element is the number of views in the interval that have a valid metric value   # noqa: E501
+        Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value   * the third element is the number of views in the interval that have a valid metric value   # noqa: E501
         This method makes a synchronous HTTP request by default. To make an
         asynchronous HTTP request, please pass async_req=True
 
@@ -57,7 +57,7 @@ def get_metric_timeseries_data(self, metric_id, **kwargs):  # noqa: E501
         :type measurement: str
         :param order_direction: Sort order.
         :type order_direction: str
-        :param group_by: Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. 
+        :param group_by: Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. 
         :type group_by: str
         :param async_req: Whether to execute the request asynchronously.
         :type async_req: bool, optional
@@ -80,7 +80,7 @@ def get_metric_timeseries_data(self, metric_id, **kwargs):  # noqa: E501
     def get_metric_timeseries_data_with_http_info(self, metric_id, **kwargs):  # noqa: E501
         """Get metric timeseries data  # noqa: E501
 
-        Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value    * the third element is the number of views in the interval that have a valid metric value   # noqa: E501
+        Returns timeseries data for a specific metric.  Each interval represented in the data array contains an array with the following values:   * the first element is the interval time   * the second element is the calculated metric value   * the third element is the number of views in the interval that have a valid metric value   # noqa: E501
         This method makes a synchronous HTTP request by default. To make an
         asynchronous HTTP request, please pass async_req=True
 
@@ -97,7 +97,7 @@ def get_metric_timeseries_data_with_http_info(self, metric_id, **kwargs):  # noq
         :type measurement: str
         :param order_direction: Sort order.
         :type order_direction: str
-        :param group_by: Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. 
+        :param group_by: Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.  For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. 
         :type group_by: str
         :param async_req: Whether to execute the request asynchronously.
         :type async_req: bool, optional

mux_python/api/real_time_api.py

@@ -52,7 +52,7 @@ def get_realtime_breakdown(self, realtime_metric_id, **kwargs):  # noqa: E501
         :param dimension: Dimension the specified value belongs to
         :type dimension: str
         :param timestamp: Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp.
-        :type timestamp: float
+        :type timestamp: int
         :param filters: Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US` 
         :type filters: list[str]
         :param order_by: Value to order the results by
@@ -92,7 +92,7 @@ def get_realtime_breakdown_with_http_info(self, realtime_metric_id, **kwargs):
         :param dimension: Dimension the specified value belongs to
         :type dimension: str
         :param timestamp: Timestamp to limit results by. This value must be provided as a unix timestamp. Defaults to the current unix timestamp.
-        :type timestamp: float
+        :type timestamp: int
         :param filters: Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.  To exclude rows that match a certain condition, prepend a `!` character to the dimension.  Possible filter names are the same as returned by the List Filters endpoint.  Example:    * `filters[]=operating_system:windows&filters[]=!country:US` 
         :type filters: list[str]
         :param order_by: Value to order the results by

mux_python/api/spaces_api.py

@@ -1017,7 +1017,7 @@ def list_spaces_with_http_info(self, **kwargs):  # noqa: E501
     def start_space_broadcast(self, space_id, broadcast_id, **kwargs):  # noqa: E501
         """Start a space broadcast  # noqa: E501
 
-        Starts broadcasting a space to the associated destination.  # noqa: E501
+        Starts broadcasting a space to the associated destination. Broadcasts can only be started when the space is `active` (when there are participants connected).  # noqa: E501
         This method makes a synchronous HTTP request by default. To make an
         asynchronous HTTP request, please pass async_req=True
 
@@ -1049,7 +1049,7 @@ def start_space_broadcast(self, space_id, broadcast_id, **kwargs):  # noqa: E501
     def start_space_broadcast_with_http_info(self, space_id, broadcast_id, **kwargs):  # noqa: E501
         """Start a space broadcast  # noqa: E501
 
-        Starts broadcasting a space to the associated destination.  # noqa: E501
+        Starts broadcasting a space to the associated destination. Broadcasts can only be started when the space is `active` (when there are participants connected).  # noqa: E501
         This method makes a synchronous HTTP request by default. To make an
         asynchronous HTTP request, please pass async_req=True
 

mux_python/api_client.py

@@ -79,7 +79,7 @@ def __init__(self, configuration=None, header_name=None, header_value=None,
             self.default_headers[header_name] = header_value
         self.cookie = cookie
         # Set default User-Agent.
-        self.user_agent = 'OpenAPI-Generator/3.5.0/python'
+        self.user_agent = 'OpenAPI-Generator/3.5.1/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

mux_python/configuration.py

@@ -406,7 +406,7 @@ def to_debug_report(self):
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
                "Version of the API: v1\n"\
-               "SDK Package Version: 3.5.0".\
+               "SDK Package Version: 3.5.1".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self):

setup.py

@@ -14,7 +14,7 @@
 from setuptools import setup, find_packages  # noqa: H301
 
 NAME = "mux_python"
-VERSION = "3.5.0"
+VERSION = "3.5.1"
 # To install the library, run the following
 #
 # python setup.py install