def list_metric_descriptors(self, filter_string=None, type_prefix=None):
"""List all metric descriptors for the project.
Examples::
>>> for descriptor in client.list_metric_descriptors():
... print(descriptor.type)
>>> for descriptor in client.list_metric_descriptors(
... type_prefix='custom.'):
... print(descriptor.type)
:type filter_string: string or None
:param filter_string:
An optional filter expression describing the metric descriptors
to be returned. See the `filter documentation`_.
:type type_prefix: string or None
:param type_prefix: An optional prefix constraining the selected
metric types. This adds ``metric.type = starts_with("<prefix>")``
to the filter.
:rtype: list of :class:`~gcloud.monitoring.metric.MetricDescriptor`
:returns: A list of metric descriptor instances.
.. _filter documentation:
https://cloud.google.com/monitoring/api/v3/filters
"""
return MetricDescriptor._list(self, filter_string,
type_prefix=type_prefix)
def fetch_metric_descriptor(self, metric_type):
"""Look up a metric descriptor by type.
Example::
>>> METRIC = 'compute.googleapis.com/instance/cpu/utilization'
>>> print(client.fetch_metric_descriptor(METRIC))
:type metric_type: string
:param metric_type: The metric type name.
:rtype: :class:`~gcloud.monitoring.metric.MetricDescriptor`
:returns: The metric descriptor instance.
:raises: :class:`gcloud.exceptions.NotFound` if the metric descriptor
is not found.
"""
return MetricDescriptor._fetch(self, metric_type)
def fetch_metric_descriptor(self, metric_type):
"""Look up a metric descriptor by type.
Example::
>>> METRIC = 'compute.googleapis.com/instance/cpu/utilization'
>>> print(client.fetch_metric_descriptor(METRIC))
:type metric_type: string
:param metric_type: The metric type name.
:rtype: :class:`~gcloud.monitoring.metric.MetricDescriptor`
:returns: The metric descriptor instance.
:raises: :class:`gcloud.exceptions.NotFound` if the metric descriptor
is not found.
"""
return MetricDescriptor._fetch(self, metric_type)
def list_metric_descriptors(self, filter_string=None):
"""List all metric descriptors for the project.
Example::
>>> for descriptor in client.list_metric_descriptors():
... print(descriptor.type)
:type filter_string: string or None
:param filter_string:
An optional filter expression describing the metric descriptors
to be returned. See the `filter documentation`_.
:rtype: list of :class:`~gcloud.monitoring.metric.MetricDescriptor`
:returns: A list of metric descriptor instances.
.. _filter documentation:
https://cloud.google.com/monitoring/api/v3/filters
"""
return MetricDescriptor._list(self, filter_string)
def list_metric_descriptors(self, filter_string=None):
"""List all metric descriptors for the project.
Example::
>>> for descriptor in client.list_metric_descriptors():
... print(descriptor.type)
:type filter_string: string or None
:param filter_string:
An optional filter expression describing the metric descriptors
to be returned. See the `filter documentation`_.
:rtype: list of :class:`~gcloud.monitoring.metric.MetricDescriptor`
:returns: A list of metric descriptor instances.
.. _filter documentation:
https://cloud.google.com/monitoring/api/v3/filters
"""
return MetricDescriptor._list(self, filter_string)
def metric_descriptor(self, type_,
metric_kind=MetricKind.METRIC_KIND_UNSPECIFIED,
value_type=ValueType.VALUE_TYPE_UNSPECIFIED,
labels=(), unit='', description='', display_name=''):
"""Construct a metric descriptor object.
Metric descriptors specify the schema for a particular metric type.
This factory method is used most often in conjunction with the metric
descriptor :meth:`~gcloud.monitoring.metric.MetricDescriptor.create`
method to define custom metrics::
>>> descriptor = client.metric_descriptor(
... 'custom.googleapis.com/my_metric',
... metric_kind=MetricKind.GAUGE,
... value_type=ValueType.DOUBLE,
... description='This is a simple example of a custom metric.')
>>> descriptor.create()
Here is an example where the custom metric is parameterized by a
metric label::
>>> label = LabelDescriptor('response_code', LabelValueType.INT64,
... description='HTTP status code')
>>> descriptor = client.metric_descriptor(
... 'custom.googleapis.com/my_app/response_count',
... metric_kind=MetricKind.CUMULATIVE,
... value_type=ValueType.INT64,
... labels=[label],
... description='Cumulative count of HTTP responses.')
>>> descriptor.create()
:type type_: string
:param type_:
The metric type including a DNS name prefix. For example:
``"custom.googleapis.com/my_metric"``
:type metric_kind: string
:param metric_kind:
The kind of measurement. It must be one of
:data:`MetricKind.GAUGE`, :data:`MetricKind.DELTA`,
or :data:`MetricKind.CUMULATIVE`.
See :class:`~gcloud.monitoring.metric.MetricKind`.
:type value_type: string
:param value_type:
The value type of the metric. It must be one of
:data:`ValueType.BOOL`, :data:`ValueType.INT64`,
:data:`ValueType.DOUBLE`, :data:`ValueType.STRING`,
or :data:`ValueType.DISTRIBUTION`.
See :class:`ValueType`.
:type labels: list of :class:`~gcloud.monitoring.label.LabelDescriptor`
:param labels:
A sequence of zero or more label descriptors specifying the labels
used to identify a specific instance of this metric.
:type unit: string
:param unit: An optional unit in which the metric value is reported.
:type description: string
:param description: An optional detailed description of the metric.
:type display_name: string
:param display_name: An optional concise name for the metric.
"""
return MetricDescriptor(
self, type_,
metric_kind=metric_kind,
value_type=value_type,
labels=labels,
unit=unit,
description=description,
display_name=display_name,
)
