docs/MetricsApi.md in mux_ruby-3.18.0 vs docs/MetricsApi.md in mux_ruby-3.19.0
- old
+ new
@@ -34,12 +34,12 @@
api_instance = MuxRuby::MetricsApi.new
metric_id = 'aggregate_startup_time' # String | ID of the Metric
opts = {
timeframe: ['inner_example'], # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
filters: ['inner_example'], # Array<String> | 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`
- metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
- measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
+ metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
+ measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
order_direction: 'asc', # String | Sort order.
group_by: 'minute' # String | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of less than 90 minutes, the default granularity is `minute`. Between 90 minutes and 6 hours, 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.
}
begin
@@ -74,12 +74,12 @@
| Name | Type | Description | Notes |
| ---- | ---- | ----------- | ----- |
| **metric_id** | **String** | ID of the Metric | |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
| **filters** | [**Array<String>**](String.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] |
-| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
-| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
+| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
+| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
| **order_direction** | **String** | Sort order. | [optional] |
| **group_by** | **String** | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of less than 90 minutes, the default granularity is `minute`. Between 90 minutes and 6 hours, 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] |
### Return type
@@ -118,12 +118,12 @@
api_instance = MuxRuby::MetricsApi.new
metric_id = 'aggregate_startup_time' # String | ID of the Metric
opts = {
timeframe: ['inner_example'], # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
filters: ['inner_example'], # Array<String> | 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`
- metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
- measurement: '95th' # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
+ metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
+ measurement: '95th' # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
}
begin
# Get Overall values
result = api_instance.get_overall_values(metric_id, opts)
@@ -156,12 +156,12 @@
| Name | Type | Description | Notes |
| ---- | ---- | ----------- | ----- |
| **metric_id** | **String** | ID of the Metric | |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
| **filters** | [**Array<String>**](String.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] |
-| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
-| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
+| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
+| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
### Return type
[**GetOverallValuesResponse**](GetOverallValuesResponse.md)
@@ -197,11 +197,11 @@
api_instance = MuxRuby::MetricsApi.new
opts = {
timeframe: ['inner_example'], # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
filters: ['inner_example'], # Array<String> | 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`
- metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
+ metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
dimension: 'asn', # String | Dimension the specified value belongs to
value: 'value_example' # String | Value to show all available metrics for
}
begin
@@ -235,11 +235,11 @@
| Name | Type | Description | Notes |
| ---- | ---- | ----------- | ----- |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
| **filters** | [**Array<String>**](String.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] |
-| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
+| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
| **dimension** | **String** | Dimension the specified value belongs to | [optional] |
| **value** | **String** | Value to show all available metrics for | [optional] |
### Return type
@@ -277,13 +277,13 @@
api_instance = MuxRuby::MetricsApi.new
metric_id = 'aggregate_startup_time' # String | ID of the Metric
opts = {
group_by: 'asn', # String | Breakdown value to group the results by
- measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
+ measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
filters: ['inner_example'], # Array<String> | 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`
- metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
+ metric_filters: ['inner_example'], # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
limit: 56, # Integer | Number of items to include in the response
page: 56, # Integer | Offset by this many pages, of the size of `limit`
order_by: 'negative_impact', # String | Value to order the results by
order_direction: 'asc', # String | Sort order.
timeframe: ['inner_example'] # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
@@ -320,13 +320,13 @@
| Name | Type | Description | Notes |
| ---- | ---- | ----------- | ----- |
| **metric_id** | **String** | ID of the Metric | |
| **group_by** | **String** | Breakdown value to group the results by | [optional] |
-| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
+| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
| **filters** | [**Array<String>**](String.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] |
-| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
+| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
| **limit** | **Integer** | Number of items to include in the response | [optional][default to 25] |
| **page** | **Integer** | Offset by this many pages, of the size of `limit` | [optional][default to 1] |
| **order_by** | **String** | Value to order the results by | [optional] |
| **order_direction** | **String** | Sort order. | [optional] |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
@@ -366,15 +366,15 @@
end
api_instance = MuxRuby::MetricsApi.new
metric_id = 'aggregate_startup_time' # String | ID of the Metric
opts = {
- measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
+ measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers`
order_direction: 'asc', # String | Sort order.
timeframe: ['inner_example'], # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
filters: ['inner_example'], # Array<String> | 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`
- metric_filters: ['inner_example'] # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
+ metric_filters: ['inner_example'] # Array<String> | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000`
}
begin
# List Insights
result = api_instance.list_insights(metric_id, opts)
@@ -405,14 +405,14 @@
### Parameters
| Name | Type | Description | Notes |
| ---- | ---- | ----------- | ----- |
| **metric_id** | **String** | ID of the Metric | |
-| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
+| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. The default measurement for each metric is: \"sum\" : `ad_attempt_count`, `ad_break_count`, `ad_break_error_count`, `ad_error_count`, `ad_impression_count`, `playing_time` \"median\" : `ad_preroll_startup_time`, `ad_watch_time`, `aggregate_startup_time`, `content_startup_time`, `content_watch_time`, `max_downscale_percentage`, `max_upscale_percentage`, `page_load_time`, `player_average_live_latency`, `player_startup_time`, `rebuffer_count`, `rebuffer_duration`, `requests_for_first_preroll`, `video_startup_preroll_load_time`, `video_startup_preroll_request_time`, `video_startup_time`, `view_average_request_latency`, `view_average_request_throughput`, `view_max_request_latency`, `weighted_average_bitrate` \"avg\" : `ad_break_error_percentage`, `ad_error_percentage`, `ad_exit_before_start_count`, `ad_exit_before_start_percentage`, `ad_playback_failure_percentage`, `ad_startup_error_count`, `ad_startup_error_percentage`, `content_playback_failure_percentage`, `downscale_percentage`, `exits_before_video_start`, `playback_business_exception_percentage`, `playback_failure_percentage`, `playback_success_score`, `rebuffer_frequency`, `rebuffer_percentage`, `seek_latency`, `smoothness_score`, `startup_time_score`, `upscale_percentage`, `video_quality_score`, `video_startup_business_exception_percentage`, `video_startup_failure_percentage`, `view_dropped_percentage`, `viewer_experience_score` \"count\" : `started_views`, `unique_viewers` | [optional] |
| **order_direction** | **String** | Sort order. | [optional] |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
| **filters** | [**Array<String>**](String.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] |
-| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
+| **metric_filters** | [**Array<String>**](String.md) | Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter. Possible filterable metrics are the same as the set of metric ids, with the exceptions of `exits_before_video_start`, `unique_viewers`, `video_startup_failure_percentage`, `view_dropped_percentage`, and `views`. Example: * `metric_filters[]=aggregate_startup_time>=1000` | [optional] |
### Return type
[**ListInsightsResponse**](ListInsightsResponse.md)