toloka.metrics.metrics.NewUserSkills | Source code
NewUserSkills( self, skill_id: str, cursor_time_lag: timedelta = ..., count_name: Optional[str] = None, value_name: Optional[str] = None, join_events: bool = False, *, toloka_client: Optional[TolokaClient] = None, atoloka_client: Optional[AsyncTolokaClient] = None, timeout: timedelta = ...)Tracking Tolokers' skills.
| Parameters | Type | Description |
|---|---|---|
skill_id | str | Which skill we will be tracking. |
cursor_time_lag | timedelta | Time lag for cursor. This controls time lag between user skills being updated and this metric being updated. See BaseCursor.time_lag for details and reasoning behind this. |
count_name | Optional[str] | Metric name for a count of new skill assignments. When skill changes it counts to. |
value_name | Optional[str] | Metric name for exact values of new skill level for each skill assignment. It could be useful to track mean value or some medians. |
join_events | bool | Count all events in one point. Default |
Examples:
How to collect this metrics:
def print_metric(metric_dict): print(metric_dict)collector = MetricCollector( [ NewUserSkills( toloka_client=toloka_client, count_name='count', value_name='values', ) ], print_metric)asyncio.run(collector.run()){ 'count': [(datetime.datetime(2021, 11, 18, 8, 31, 54, 11000), 1)], 'values': [(datetime.datetime(2021, 11, 18, 8, 31, 54, 11000), Decimal('50.000000000000'))],}| Method | Description |
|---|---|
| get_line_names | Returns a list of metric names that can be generated by this class instance. |
Last updated: August 28, 2023