google.cloud.gcp_logging_metric – Creates a GCP Metric¶

Note

This plugin is part of the google.cloud collection (version 1.0.2).

To install it use: ansible-galaxy collection install google.cloud.

To use it in a playbook, specify: google.cloud.gcp_logging_metric.

Synopsis
Requirements
Parameters
Notes
Examples
Return Values

Synopsis ¶

Logs-based metric can also be used to extract values from logs and create a a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.

Requirements ¶

The below requirements are needed on the host that executes this module.

python >= 2.6
requests >= 2.18.4
google-auth >= 1.3.0

Parameters ¶

Parameter			Choices/Defaults	Comments
auth_kind string / required			Choices: application machineaccount serviceaccount	The type of credential used.
bucket_options dictionary				The bucketOptions are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
	explicit_buckets dictionary			Specifies a set of buckets with arbitrary widths.
		bounds list / elements=string / required		The values must be monotonically increasing.
	exponential_buckets dictionary			Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.
		growth_factor string		Must be greater than 1.
		num_finite_buckets integer		Must be greater than 0.
		scale string		Must be greater than 0.
	linear_buckets dictionary			Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.
		num_finite_buckets integer		Must be greater than 0.
		offset string		Lower bound of the first bucket.
		width integer		Must be greater than 0.
description string				A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
env_type string				Specifies which Ansible environment you're running this module within. This should not be set unless you know what you're doing. This only alters the User Agent string for any API requests.
filter string / required				An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced-filters) which is used to match log entries.
label_extractors dictionary				A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the valueExtractor field.
metric_descriptor dictionary / required				The metric descriptor associated with the logs-based metric.
	display_name string			A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
	labels list / elements=dictionary			The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
		description string		A human-readable description for the label.
		key string / required		The label key.
		value_type string	Default: "STRING"	The type of data that can be assigned to the label. Some valid choices include: "BOOL", "INT64", "STRING"
	metric_kind string / required			Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metricKind and valueType might not be supported. For counter metrics, set this to DELTA. Some valid choices include: "DELTA", "GAUGE", "CUMULATIVE"
	unit string		Default: "1"	The unit in which the metric value is reported. It is only applicable if the valueType is `INT64`, `DOUBLE`, or `DISTRIBUTION`. The supported units are a subset of [The Unified Code for Units of Measure](http://unitsofmeasure.org/ucum.html) standard .
	value_type string / required			Whether the measurement is an integer, a floating-point number, etc. Some combinations of metricKind and valueType might not be supported. For counter metrics, set this to INT64. Some valid choices include: "BOOL", "INT64", "DOUBLE", "STRING", "DISTRIBUTION", "MONEY"
name string / required				The client-assigned metric identifier. Examples - "error_count", "nginx/requests". Metric identifiers are limited to 100 characters and can include only the following characters A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.
project string				The Google Cloud Platform project to use.
scopes list / elements=string				Array of scopes to be used
service_account_contents jsonarg				The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.
service_account_email string				An optional service account email address if machineaccount is selected and the user does not wish to use the default email.
service_account_file path				The path of a Service Account JSON file if serviceaccount is selected as type.
state string			Choices: present ← absent	Whether the given object should exist in GCP
value_extractor string				A valueExtractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction - EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are 1. field - The name of the log entry field from which the value is to be extracted. 2. regex - A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.

Notes ¶

Note

API Reference: https://cloud.google.com/logging/docs/reference/v2/rest/v2/projects.metrics/create
Official Documentation: https://cloud.google.com/logging/docs/apis
for authentication, you can set service_account_file using the gcp_service_account_file env variable.
for authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS env variable.
For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.
For authentication, you can set scopes using the GCP_SCOPES env variable.
Environment variables values will only be used if the playbook values are not set.
The service_account_email and service_account_file options are mutually exclusive.

Examples ¶

- name: create a metric
  google.cloud.gcp_logging_metric:
    name: test_object
    filter: resource.type=gae_app AND severity>=ERROR
    metric_descriptor:
      metric_kind: DELTA
      value_type: DISTRIBUTION
      unit: '1'
      labels:
      - key: mass
        value_type: STRING
        description: amount of matter
    value_extractor: EXTRACT(jsonPayload.request)
    label_extractors:
      mass: EXTRACT(jsonPayload.request)
    bucket_options:
      linear_buckets:
        num_finite_buckets: 3
        width: 1
        offset: 1
    project: test_project
    auth_kind: serviceaccount
    service_account_file: "/tmp/auth.pem"
    state: present

Return Values ¶

Common return values are documented here, the following are the fields unique to this module:

Key			Returned	Description
bucketOptions complex			success	The bucketOptions are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
	explicitBuckets complex		success	Specifies a set of buckets with arbitrary widths.
		bounds list / elements=string	success	The values must be monotonically increasing.
	exponentialBuckets complex		success	Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.
		growthFactor string	success	Must be greater than 1.
		numFiniteBuckets integer	success	Must be greater than 0.
		scale string	success	Must be greater than 0.
	linearBuckets complex		success	Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.
		numFiniteBuckets integer	success	Must be greater than 0.
		offset string	success	Lower bound of the first bucket.
		width integer	success	Must be greater than 0.
description string			success	A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
filter string			success	An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced-filters) which is used to match log entries.
labelExtractors dictionary			success	A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the valueExtractor field.
metricDescriptor complex			success	The metric descriptor associated with the logs-based metric.
	displayName string		success	A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
	labels complex		success	The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
		description string	success	A human-readable description for the label.
		key string	success	The label key.
		valueType string	success	The type of data that can be assigned to the label.
	metricKind string		success	Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metricKind and valueType might not be supported. For counter metrics, set this to DELTA.
	type string		success	The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name `custom.googleapis.com` or `external.googleapis.com`.
	unit string		success	The unit in which the metric value is reported. It is only applicable if the valueType is `INT64`, `DOUBLE`, or `DISTRIBUTION`. The supported units are a subset of [The Unified Code for Units of Measure](http://unitsofmeasure.org/ucum.html) standard .
	valueType string		success	Whether the measurement is an integer, a floating-point number, etc. Some combinations of metricKind and valueType might not be supported. For counter metrics, set this to INT64.
name string			success	The client-assigned metric identifier. Examples - "error_count", "nginx/requests". Metric identifiers are limited to 100 characters and can include only the following characters A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.
valueExtractor string			success	A valueExtractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction - EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are 1. field - The name of the log entry field from which the value is to be extracted. 2. regex - A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.

Authors¶

Google Inc. (@googlecloudplatform)

google.cloud.gcp_logging_metric – Creates a GCP Metric¶

Synopsis¶

Requirements¶

Parameters¶

Notes¶

Examples¶

Return Values¶