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New Module: gcp_logging_metric (#64339)

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pull/64339/merge
The Magician 5 years ago committed by ansibot
parent 9517d4c755
commit 14cf1c1197
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lib/ansible/modules/cloud/google/gcp_logging_metric.py
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#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Google
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# ----------------------------------------------------------------------------
#
# *** AUTO GENERATED CODE *** AUTO GENERATED CODE ***
#
# ----------------------------------------------------------------------------
#
# This file is automatically generated by Magic Modules and manual
# changes will be clobbered when the file is regenerated.
#
# Please read more about how to change this file at
# https://www.github.com/GoogleCloudPlatform/magic-modules
#
# ----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function
__metaclass__ = type
################################################################################
# Documentation
################################################################################
ANSIBLE_METADATA = {'metadata_version': '1.1', 'status': ["preview"], 'supported_by': 'community'}
DOCUMENTATION = '''
---
module: gcp_logging_metric
description:
- 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.
short_description: Creates a GCP Metric
version_added: '2.10'
author: Google Inc. (@googlecloudplatform)
requirements:
- python >= 2.6
- requests >= 2.18.4
- google-auth >= 1.3.0
options:
state:
description:
- Whether the given object should exist in GCP
choices:
- present
- absent
default: present
type: str
name:
description:
- 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.
required: true
type: str
description:
description:
- A description of this metric, which is used in documentation. The maximum length
of the description is 8000 characters.
required: false
type: str
filter:
description:
- An advanced logs filter (U(https://cloud.google.com/logging/docs/view/advanced-filters))
which is used to match log entries.
required: true
type: str
metric_descriptor:
description:
- The metric descriptor associated with the logs-based metric.
required: true
type: dict
suboptions:
unit:
description:
- 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](U(http://unitsofmeasure.org/ucum.html))
standard .
required: false
default: '1'
type: str
value_type:
description:
- 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"'
required: true
type: str
metric_kind:
description:
- 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"'
required: true
type: str
labels:
description:
- 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.
required: false
type: list
suboptions:
key:
description:
- The label key.
required: true
type: str
description:
description:
- A human-readable description for the label.
required: false
type: str
value_type:
description:
- The type of data that can be assigned to the label.
- 'Some valid choices include: "BOOL", "INT64", "STRING"'
required: false
default: STRING
type: str
label_extractors:
description:
- 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.
required: false
type: dict
value_extractor:
description:
- 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 (U(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.
required: false
type: str
bucket_options:
description:
- 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.
required: false
type: dict
suboptions:
linear_buckets:
description:
- 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.
required: false
type: dict
suboptions:
num_finite_buckets:
description:
- Must be greater than 0.
required: false
type: int
width:
description:
- Must be greater than 0.
required: false
type: int
offset:
description:
- Lower bound of the first bucket.
required: false
type: str
exponential_buckets:
description:
- 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.
required: false
type: dict
suboptions:
num_finite_buckets:
description:
- Must be greater than 0.
required: false
type: int
growth_factor:
description:
- Must be greater than 1.
required: false
type: int
scale:
description:
- Must be greater than 0.
required: false
type: str
explicit_buckets:
description:
- Specifies a set of buckets with arbitrary widths.
required: false
type: dict
suboptions:
bounds:
description:
- The values must be monotonically increasing.
required: false
type: list
project:
description:
- The Google Cloud Platform project to use.
type: str
auth_kind:
description:
- The type of credential used.
type: str
required: true
choices:
- application
- machineaccount
- serviceaccount
service_account_contents:
description:
- The contents of a Service Account JSON file, either in a dictionary or as a
JSON string that represents it.
type: jsonarg
service_account_file:
description:
- The path of a Service Account JSON file if serviceaccount is selected as type.
type: path
service_account_email:
description:
- An optional service account email address if machineaccount is selected and
the user does not wish to use the default email.
type: str
scopes:
description:
- Array of scopes to be used
type: list
env_type:
description:
- 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.
type: str
notes:
- 'API Reference: U(https://cloud.google.com/logging/docs/reference/v2/rest/v2/projects.metrics/create)'
- 'Official Documentation: U(https://cloud.google.com/logging/docs/apis)'
- for authentication, you can set service_account_file using the C(gcp_service_account_file)
env variable.
- for authentication, you can set service_account_contents using the C(GCP_SERVICE_ACCOUNT_CONTENTS)
env variable.
- For authentication, you can set service_account_email using the C(GCP_SERVICE_ACCOUNT_EMAIL)
env variable.
- For authentication, you can set auth_kind using the C(GCP_AUTH_KIND) env variable.
- For authentication, you can set scopes using the C(GCP_SCOPES) env variable.
- Environment variables values will only be used if the playbook values are not set.
- The I(service_account_email) and I(service_account_file) options are mutually exclusive.
'''
EXAMPLES = '''
- name: create a metric
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 = '''
name:
description:
- 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
type: str
description:
description:
- A description of this metric, which is used in documentation. The maximum length
of the description is 8000 characters.
returned: success
type: str
filter:
description:
- An advanced logs filter (U(https://cloud.google.com/logging/docs/view/advanced-filters))
which is used to match log entries.
returned: success
type: str
metricDescriptor:
description:
- The metric descriptor associated with the logs-based metric.
returned: success
type: complex
contains:
unit:
description:
- 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](U(http://unitsofmeasure.org/ucum.html))
standard .
returned: success
type: str
valueType:
description:
- 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
type: str
metricKind:
description:
- 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: str
labels:
description:
- 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
type: complex
contains:
key:
description:
- The label key.
returned: success
type: str
description:
description:
- A human-readable description for the label.
returned: success
type: str
valueType:
description:
- The type of data that can be assigned to the label.
returned: success
type: str
labelExtractors:
description:
- 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
type: dict
valueExtractor:
description:
- 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 (U(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
type: str
bucketOptions:
description:
- 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
type: complex
contains:
linearBuckets:
description:
- 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
type: complex
contains:
numFiniteBuckets:
description:
- Must be greater than 0.
returned: success
type: int
width:
description:
- Must be greater than 0.
returned: success
type: int
offset:
description:
- Lower bound of the first bucket.
returned: success
type: str
exponentialBuckets:
description:
- 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
type: complex
contains:
numFiniteBuckets:
description:
- Must be greater than 0.
returned: success
type: int
growthFactor:
description:
- Must be greater than 1.
returned: success
type: int
scale:
description:
- Must be greater than 0.
returned: success
type: str
explicitBuckets:
description:
- Specifies a set of buckets with arbitrary widths.
returned: success
type: complex
contains:
bounds:
description:
- The values must be monotonically increasing.
returned: success
type: list
'''
################################################################################
# Imports
################################################################################
from ansible.module_utils.gcp_utils import navigate_hash, GcpSession, GcpModule, GcpRequest, remove_nones_from_dict, replace_resource_dict
import json
################################################################################
# Main
################################################################################
def main():
"""Main function"""
module = GcpModule(
argument_spec=dict(
state=dict(default='present', choices=['present', 'absent'], type='str'),
name=dict(required=True, type='str'),
description=dict(type='str'),
filter=dict(required=True, type='str'),
metric_descriptor=dict(
required=True,
type='dict',
options=dict(
unit=dict(default='1', type='str'),
value_type=dict(required=True, type='str'),
metric_kind=dict(required=True, type='str'),
labels=dict(
type='list',
elements='dict',
options=dict(key=dict(required=True, type='str'), description=dict(type='str'), value_type=dict(default='STRING', type='str')),
),
),
),
label_extractors=dict(type='dict'),
value_extractor=dict(type='str'),
bucket_options=dict(
type='dict',
options=dict(
linear_buckets=dict(type='dict', options=dict(num_finite_buckets=dict(type='int'), width=dict(type='int'), offset=dict(type='str'))),
exponential_buckets=dict(
type='dict', options=dict(num_finite_buckets=dict(type='int'), growth_factor=dict(type='int'), scale=dict(type='str'))
),
explicit_buckets=dict(type='dict', options=dict(bounds=dict(type='list', elements='str'))),
),
),
)
)
if not module.params['scopes']:
module.params['scopes'] = ['https://www.googleapis.com/auth/cloud-platform']
state = module.params['state']
fetch = fetch_resource(module, self_link(module))
changed = False
if fetch:
if state == 'present':
if is_different(module, fetch):
update(module, self_link(module))
fetch = fetch_resource(module, self_link(module))
changed = True
else:
delete(module, self_link(module))
fetch = {}
changed = True
else:
if state == 'present':
fetch = create(module, collection(module))
changed = True
else:
fetch = {}
fetch.update({'changed': changed})
module.exit_json(**fetch)
def create(module, link):
auth = GcpSession(module, 'logging')
return return_if_object(module, auth.post(link, resource_to_request(module)))
def update(module, link):
auth = GcpSession(module, 'logging')
return return_if_object(module, auth.put(link, resource_to_request(module)))
def delete(module, link):
auth = GcpSession(module, 'logging')
return return_if_object(module, auth.delete(link))
def resource_to_request(module):
request = {
u'name': module.params.get('name'),
u'description': module.params.get('description'),
u'filter': module.params.get('filter'),
u'metricDescriptor': MetricMetricdescriptor(module.params.get('metric_descriptor', {}), module).to_request(),
u'labelExtractors': module.params.get('label_extractors'),
u'valueExtractor': module.params.get('value_extractor'),
u'bucketOptions': MetricBucketoptions(module.params.get('bucket_options', {}), module).to_request(),
}
return_vals = {}
for k, v in request.items():
if v or v is False:
return_vals[k] = v
return return_vals
def fetch_resource(module, link, allow_not_found=True):
auth = GcpSession(module, 'logging')
return return_if_object(module, auth.get(link), allow_not_found)
def self_link(module):
return "https://logging.googleapis.com/v2/projects/{project}/metrics/{name}".format(**module.params)
def collection(module):
return "https://logging.googleapis.com/v2/projects/{project}/metrics".format(**module.params)
def return_if_object(module, response, allow_not_found=False):
# If not found, return nothing.
if allow_not_found and response.status_code == 404:
return None
# If no content, return nothing.
if response.status_code == 204:
return None
try:
module.raise_for_status(response)
result = response.json()
except getattr(json.decoder, 'JSONDecodeError', ValueError):
module.fail_json(msg="Invalid JSON response with error: %s" % response.text)
if navigate_hash(result, ['error', 'errors']):
module.fail_json(msg=navigate_hash(result, ['error', 'errors']))
return result
def is_different(module, response):
request = resource_to_request(module)
response = response_to_hash(module, response)
# Remove all output-only from response.
response_vals = {}
for k, v in response.items():
if k in request:
response_vals[k] = v
request_vals = {}
for k, v in request.items():
if k in response:
request_vals[k] = v
return GcpRequest(request_vals) != GcpRequest(response_vals)
# Remove unnecessary properties from the response.
# This is for doing comparisons with Ansible's current parameters.
def response_to_hash(module, response):
return {
u'name': response.get(u'name'),
u'description': response.get(u'description'),
u'filter': response.get(u'filter'),
u'metricDescriptor': MetricMetricdescriptor(response.get(u'metricDescriptor', {}), module).from_response(),
u'labelExtractors': response.get(u'labelExtractors'),
u'valueExtractor': response.get(u'valueExtractor'),
u'bucketOptions': MetricBucketoptions(response.get(u'bucketOptions', {}), module).from_response(),
}
class MetricMetricdescriptor(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict(
{
u'unit': self.request.get('unit'),
u'valueType': self.request.get('value_type'),
u'metricKind': self.request.get('metric_kind'),
u'labels': MetricLabelsArray(self.request.get('labels', []), self.module).to_request(),
}
)
def from_response(self):
return remove_nones_from_dict(
{
u'unit': self.request.get(u'unit'),
u'valueType': self.request.get(u'valueType'),
u'metricKind': self.request.get(u'metricKind'),
u'labels': MetricLabelsArray(self.request.get(u'labels', []), self.module).from_response(),
}
)
class MetricLabelsArray(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = []
def to_request(self):
items = []
for item in self.request:
items.append(self._request_for_item(item))
return items
def from_response(self):
items = []
for item in self.request:
items.append(self._response_from_item(item))
return items
def _request_for_item(self, item):
return remove_nones_from_dict({u'key': item.get('key'), u'description': item.get('description'), u'valueType': item.get('value_type')})
def _response_from_item(self, item):
return remove_nones_from_dict({u'key': item.get(u'key'), u'description': item.get(u'description'), u'valueType': item.get(u'valueType')})
class MetricBucketoptions(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict(
{
u'linearBuckets': MetricLinearbuckets(self.request.get('linear_buckets', {}), self.module).to_request(),
u'exponentialBuckets': MetricExponentialbuckets(self.request.get('exponential_buckets', {}), self.module).to_request(),
u'explicitBuckets': MetricExplicitbuckets(self.request.get('explicit_buckets', {}), self.module).to_request(),
}
)
def from_response(self):
return remove_nones_from_dict(
{
u'linearBuckets': MetricLinearbuckets(self.request.get(u'linearBuckets', {}), self.module).from_response(),
u'exponentialBuckets': MetricExponentialbuckets(self.request.get(u'exponentialBuckets', {}), self.module).from_response(),
u'explicitBuckets': MetricExplicitbuckets(self.request.get(u'explicitBuckets', {}), self.module).from_response(),
}
)
class MetricLinearbuckets(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict(
{u'numFiniteBuckets': self.request.get('num_finite_buckets'), u'width': self.request.get('width'), u'offset': self.request.get('offset')}
)
def from_response(self):
return remove_nones_from_dict(
{u'numFiniteBuckets': self.request.get(u'numFiniteBuckets'), u'width': self.request.get(u'width'), u'offset': self.request.get(u'offset')}
)
class MetricExponentialbuckets(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict(
{
u'numFiniteBuckets': self.request.get('num_finite_buckets'),
u'growthFactor': self.request.get('growth_factor'),
u'scale': self.request.get('scale'),
}
)
def from_response(self):
return remove_nones_from_dict(
{
u'numFiniteBuckets': self.request.get(u'numFiniteBuckets'),
u'growthFactor': self.request.get(u'growthFactor'),
u'scale': self.request.get(u'scale'),
}
)
class MetricExplicitbuckets(object):
def __init__(self, request, module):
self.module = module
if request:
self.request = request
else:
self.request = {}
def to_request(self):
return remove_nones_from_dict({u'bounds': self.request.get('bounds')})
def from_response(self):
return remove_nones_from_dict({u'bounds': self.request.get(u'bounds')})
if __name__ == '__main__':
main()

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unsupported

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---
# ----------------------------------------------------------------------------
#
# *** AUTO GENERATED CODE *** AUTO GENERATED CODE ***
#
# ----------------------------------------------------------------------------
#
# This file is automatically generated by Magic Modules and manual
# changes will be clobbered when the file is regenerated.
#
# Please read more about how to change this file at
# https://www.github.com/GoogleCloudPlatform/magic-modules
#
# ----------------------------------------------------------------------------
# Pre-test setup
- name: delete a metric
gcp_logging_metric:
name: "{{ resource_name }}"
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: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
state: absent
#----------------------------------------------------------
- name: create a metric
gcp_logging_metric:
name: "{{ resource_name }}"
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: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
state: present
register: result
- name: assert changed is true
assert:
that:
- result.changed == true
- name: verify that metric was created
gcp_logging_metric_info:
project: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
scopes:
- https://www.googleapis.com/auth/cloud-platform
register: results
- name: verify that command succeeded
assert:
that:
- results['resources'] | map(attribute='name') | select("match", ".*{{ resource_name }}.*") | list | length == 1
# ----------------------------------------------------------------------------
- name: create a metric that already exists
gcp_logging_metric:
name: "{{ resource_name }}"
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: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
state: present
register: result
- name: assert changed is false
assert:
that:
- result.changed == false
#----------------------------------------------------------
- name: delete a metric
gcp_logging_metric:
name: "{{ resource_name }}"
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: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
state: absent
register: result
- name: assert changed is true
assert:
that:
- result.changed == true
- name: verify that metric was deleted
gcp_logging_metric_info:
project: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
scopes:
- https://www.googleapis.com/auth/cloud-platform
register: results
- name: verify that command succeeded
assert:
that:
- results['resources'] | map(attribute='name') | select("match", ".*{{ resource_name }}.*") | list | length == 0
# ----------------------------------------------------------------------------
- name: delete a metric that does not exist
gcp_logging_metric:
name: "{{ resource_name }}"
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: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
state: absent
register: result
- name: assert changed is false
assert:
that:
- result.changed == false

2
test/integration/targets/gcp_logging_metric/tasks/main.yml
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@ -0,0 +1,2 @@
---
- include_tasks: autogen.yml
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