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google.cloud.gcp_logging_metric – Creates a GCP Metric

Note

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

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

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	Comments
auth_kind string / required	The type of credential used. Choices: application machineaccount serviceaccount
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	The type of data that can be assigned to the label. Some valid choices include: “BOOL”, “INT64”, “STRING” Default: “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	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 . Default: “1”
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	Whether the given object should exist in GCP Choices: present ← (default) absent
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	Description
bucketOptions complex	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. Returned: success
explicitBuckets complex	Specifies a set of buckets with arbitrary widths. Returned: success
bounds list / elements=string	The values must be monotonically increasing. Returned: success
exponentialBuckets complex	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. Returned: success
growthFactor string	Must be greater than 1. Returned: success
numFiniteBuckets integer	Must be greater than 0. Returned: success
scale string	Must be greater than 0. Returned: success
linearBuckets complex	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. Returned: success
numFiniteBuckets integer	Must be greater than 0. Returned: success
offset string	Lower bound of the first bucket. Returned: success
width integer	Must be greater than 0. Returned: success
description string	A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters. Returned: success
filter string	An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced-filters) which is used to match log entries. Returned: success
labelExtractors 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. Returned: success
metricDescriptor complex	The metric descriptor associated with the logs-based metric. Returned: success
displayName 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. Returned: success
labels complex	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. Returned: success
description string	A human-readable description for the label. Returned: success
key string	The label key. Returned: success
valueType string	The type of data that can be assigned to the label. Returned: success
metricKind string	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. Returned: success
type string	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. Returned: success
unit string	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 . Returned: success
valueType string	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. Returned: success
name string	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. Returned: success
valueExtractor 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. Returned: success

Authors

Google Inc. (@googlecloudplatform)

google.cloud.gcp_logging_metric – Creates a GCP Metric

Synopsis

Requirements

Parameters

Notes

Examples

Return Values