DependentMetricOrMetricGroupRep.md

DependentMetricOrMetricGroupRep

Properties

Name	Type	Description	Notes
key	str	A unique key to reference the metric or metric group
version_id	str	The version ID of the metric or metric group
name	str	A human-friendly name for the metric or metric group
kind	str	If this is a metric, then it represents the kind of event the metric tracks. If this is a metric group, then it represents the group type
is_numeric	bool	For custom metrics, whether to track numeric changes in value against a baseline (<code>true</code>) or to track a conversion when an end user takes an action (<code>false</code>).	[optional]
event_key	str	The event key sent with the metric. Only relevant for custom metrics.	[optional]
links	Dict[str, Link]	The location and content type of related resources
is_group	bool	Whether this is a metric group or a metric
metrics	List[MetricInGroupRep]	An ordered list of the metrics in this metric group	[optional]

Example

from launchdarkly_api.models.dependent_metric_or_metric_group_rep import DependentMetricOrMetricGroupRep

# TODO update the JSON string below
json = "{}"
# create an instance of DependentMetricOrMetricGroupRep from a JSON string
dependent_metric_or_metric_group_rep_instance = DependentMetricOrMetricGroupRep.from_json(json)
# print the JSON string representation of the object
print(DependentMetricOrMetricGroupRep.to_json())

# convert the object into a dict
dependent_metric_or_metric_group_rep_dict = dependent_metric_or_metric_group_rep_instance.to_dict()
# create an instance of DependentMetricOrMetricGroupRep from a dict
dependent_metric_or_metric_group_rep_from_dict = DependentMetricOrMetricGroupRep.from_dict(dependent_metric_or_metric_group_rep_dict)

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