Doc AWS SDK 예제 GitHub 리포지토리에서 더 많은 SDK 예제를 사용할 수 있습니다. [AWS](https://github.com/awsdocs/aws-doc-sdk-examples)
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# SDK for Python (Boto3)을 사용한 CloudWatch 예제
다음 코드 예제에서는 CloudWatch와 AWS SDK for Python (Boto3) 함께를 사용하여 작업을 수행하고 일반적인 시나리오를 구현하는 방법을 보여줍니다.
*작업*은 대규모 프로그램에서 발췌한 코드이며 컨텍스트에 맞춰 실행해야 합니다. 작업은 개별 서비스 함수를 직접 호출하는 방법을 보여주며, 관련 시나리오의 컨텍스트에 맞는 작업을 볼 수 있습니다.
*시나리오*는 동일한 서비스 내에서 또는 다른 AWS 서비스와 결합된 상태에서 여러 함수를 직접적으로 호출하여 특정 태스크를 수행하는 방법을 보여주는 코드 예제입니다.
각 예시에는 전체 소스 코드에 대한 링크가 포함되어 있으며, 여기에서 컨텍스트에 맞춰 코드를 설정하고 실행하는 방법에 대한 지침을 찾을 수 있습니다.
**Topics**
+ [작업](#actions)
+ [시나리오](#scenarios)
## 작업
### `DeleteAlarms`
다음 코드 예시는 `DeleteAlarms`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def delete_metric_alarms(self, metric_namespace, metric_name):
"""
Deletes all of the alarms that are currently watching the specified metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
metric.alarms.delete()
logger.info(
"Deleted alarms for metric %s.%s.", metric_namespace, metric_name
)
except ClientError:
logger.exception(
"Couldn't delete alarms for metric %s.%s.",
metric_namespace,
metric_name,
)
raise
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [DeleteAlarms](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DeleteAlarms)을 참조하세요.
### `DescribeAlarmsForMetric`
다음 코드 예시는 `DescribeAlarmsForMetric`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def get_metric_alarms(self, metric_namespace, metric_name):
"""
Gets the alarms that are currently watching the specified metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
:returns: An iterator that yields the alarms.
"""
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
alarm_iter = metric.alarms.all()
logger.info("Got alarms for metric %s.%s.", metric_namespace, metric_name)
return alarm_iter
```
+ API 세부 정보는 *AWS Python용 SDK (Boto3) API 참조*의 [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DescribeAlarmsForMetric)을 참조하세요.
### `DisableAlarmActions`
다음 코드 예시는 `DisableAlarmActions`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def enable_alarm_actions(self, alarm_name, enable):
"""
Enables or disables actions on the specified alarm. Alarm actions can be
used to send notifications or automate responses when an alarm enters a
particular state.
:param alarm_name: The name of the alarm.
:param enable: When True, actions are enabled for the alarm. Otherwise, they
disabled.
"""
try:
alarm = self.cloudwatch_resource.Alarm(alarm_name)
if enable:
alarm.enable_actions()
else:
alarm.disable_actions()
logger.info(
"%s actions for alarm %s.",
"Enabled" if enable else "Disabled",
alarm_name,
)
except ClientError:
logger.exception(
"Couldn't %s actions alarm %s.",
"enable" if enable else "disable",
alarm_name,
)
raise
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [DisableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DisableAlarmActions)을 참조하세요.
### `EnableAlarmActions`
다음 코드 예시는 `EnableAlarmActions`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def enable_alarm_actions(self, alarm_name, enable):
"""
Enables or disables actions on the specified alarm. Alarm actions can be
used to send notifications or automate responses when an alarm enters a
particular state.
:param alarm_name: The name of the alarm.
:param enable: When True, actions are enabled for the alarm. Otherwise, they
disabled.
"""
try:
alarm = self.cloudwatch_resource.Alarm(alarm_name)
if enable:
alarm.enable_actions()
else:
alarm.disable_actions()
logger.info(
"%s actions for alarm %s.",
"Enabled" if enable else "Disabled",
alarm_name,
)
except ClientError:
logger.exception(
"Couldn't %s actions alarm %s.",
"enable" if enable else "disable",
alarm_name,
)
raise
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [EnableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/EnableAlarmActions)을 참조하세요.
### `GetMetricStatistics`
다음 코드 예시는 `GetMetricStatistics`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def get_metric_statistics(self, namespace, name, start, end, period, stat_types):
"""
Gets statistics for a metric within a specified time span. Metrics are grouped
into the specified period.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param start: The UTC start time of the time span to retrieve.
:param end: The UTC end time of the time span to retrieve.
:param period: The period, in seconds, in which to group metrics. The period
must match the granularity of the metric, which depends on
the metric's age. For example, metrics that are older than
three hours have a one-minute granularity, so the period must
be at least 60 and must be a multiple of 60.
:param stat_types: The type of statistics to retrieve, such as average value
or maximum value.
:return: The retrieved statistics for the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
stats = metric.get_statistics(
StartTime=start, EndTime=end, Period=period, Statistics=stat_types
)
logger.info(
"Got %s statistics for %s.", len(stats["Datapoints"]), stats["Label"]
)
except ClientError:
logger.exception("Couldn't get statistics for %s.%s.", namespace, name)
raise
else:
return stats
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [GetMetricStatistics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/GetMetricStatistics)를 참조하세요.
### `ListMetrics`
다음 코드 예시는 `ListMetrics`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def list_metrics(self, namespace, name, recent=False):
"""
Gets the metrics within a namespace that have the specified name.
If the metric has no dimensions, a single metric is returned.
Otherwise, metrics for all dimensions are returned.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param recent: When True, only metrics that have been active in the last
three hours are returned.
:return: An iterator that yields the retrieved metrics.
"""
try:
kwargs = {"Namespace": namespace, "MetricName": name}
if recent:
kwargs["RecentlyActive"] = "PT3H" # List past 3 hours only
metric_iter = self.cloudwatch_resource.metrics.filter(**kwargs)
logger.info("Got metrics for %s.%s.", namespace, name)
except ClientError:
logger.exception("Couldn't get metrics for %s.%s.", namespace, name)
raise
else:
return metric_iter
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [ListMetrics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/ListMetrics)을 참조하세요.
### `PutMetricAlarm`
다음 코드 예시는 `PutMetricAlarm`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def create_metric_alarm(
self,
metric_namespace,
metric_name,
alarm_name,
stat_type,
period,
eval_periods,
threshold,
comparison_op,
):
"""
Creates an alarm that watches a metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
:param alarm_name: The name of the alarm.
:param stat_type: The type of statistic the alarm watches.
:param period: The period in which metric data are grouped to calculate
statistics.
:param eval_periods: The number of periods that the metric must be over the
alarm threshold before the alarm is set into an alarmed
state.
:param threshold: The threshold value to compare against the metric statistic.
:param comparison_op: The comparison operation used to compare the threshold
against the metric.
:return: The newly created alarm.
"""
try:
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
alarm = metric.put_alarm(
AlarmName=alarm_name,
Statistic=stat_type,
Period=period,
EvaluationPeriods=eval_periods,
Threshold=threshold,
ComparisonOperator=comparison_op,
)
logger.info(
"Added alarm %s to track metric %s.%s.",
alarm_name,
metric_namespace,
metric_name,
)
except ClientError:
logger.exception(
"Couldn't add alarm %s to metric %s.%s",
alarm_name,
metric_namespace,
metric_name,
)
raise
else:
return alarm
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [PutMetricAlarm](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricAlarm)을 참조하세요.
### `PutMetricData`
다음 코드 예시는 `PutMetricData`의 사용 방법을 보여줍니다.
**SDK for Python(Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def put_metric_data(self, namespace, name, value, unit):
"""
Sends a single data value to CloudWatch for a metric. This metric is given
a timestamp of the current UTC time.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param value: The value of the metric.
:param unit: The unit of the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
metric.put_data(
Namespace=namespace,
MetricData=[{"MetricName": name, "Value": value, "Unit": unit}],
)
logger.info("Put data for metric %s.%s", namespace, name)
except ClientError:
logger.exception("Couldn't put data for metric %s.%s", namespace, name)
raise
```
CloudWatch 지표에 데이터 집합을 추가합니다.
```
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def put_metric_data_set(self, namespace, name, timestamp, unit, data_set):
"""
Sends a set of data to CloudWatch for a metric. All of the data in the set
have the same timestamp and unit.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param timestamp: The UTC timestamp for the metric.
:param unit: The unit of the metric.
:param data_set: The set of data to send. This set is a dictionary that
contains a list of values and a list of corresponding counts.
The value and count lists must be the same length.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
metric.put_data(
Namespace=namespace,
MetricData=[
{
"MetricName": name,
"Timestamp": timestamp,
"Values": data_set["values"],
"Counts": data_set["counts"],
"Unit": unit,
}
],
)
logger.info("Put data set for metric %s.%s.", namespace, name)
except ClientError:
logger.exception("Couldn't put data set for metric %s.%s.", namespace, name)
raise
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 [PutMetricData](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricData)를 참조하세요.
## 시나리오
### 지표 및 경보 관리
다음 코드 예제에서는 다음과 같은 작업을 수행하는 방법을 보여줍니다.
+ CloudWatch 지표를 볼 수 있는 경보를 생성합니다.
+ 데이터를 지표에 입력하고 경보를 트리거합니다.
+ 경보에서 데이터를 가져옵니다.
+ 경보를 삭제합니다.
**SDK for Python (Boto3)**
GitHub에 더 많은 내용이 있습니다. [AWS 코드 예 리포지토리](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples)에서 전체 예를 찾고 설정 및 실행하는 방법을 배워보세요.
CloudWatch 작업을 래핑하는 클래스를 만듭니다.
```
from datetime import datetime, timedelta
import logging
from pprint import pprint
import random
import time
import boto3
from botocore.exceptions import ClientError
logger = logging.getLogger(__name__)
class CloudWatchWrapper:
"""Encapsulates Amazon CloudWatch functions."""
def __init__(self, cloudwatch_resource):
"""
:param cloudwatch_resource: A Boto3 CloudWatch resource.
"""
self.cloudwatch_resource = cloudwatch_resource
def put_metric_data_set(self, namespace, name, timestamp, unit, data_set):
"""
Sends a set of data to CloudWatch for a metric. All of the data in the set
have the same timestamp and unit.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param timestamp: The UTC timestamp for the metric.
:param unit: The unit of the metric.
:param data_set: The set of data to send. This set is a dictionary that
contains a list of values and a list of corresponding counts.
The value and count lists must be the same length.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
metric.put_data(
Namespace=namespace,
MetricData=[
{
"MetricName": name,
"Timestamp": timestamp,
"Values": data_set["values"],
"Counts": data_set["counts"],
"Unit": unit,
}
],
)
logger.info("Put data set for metric %s.%s.", namespace, name)
except ClientError:
logger.exception("Couldn't put data set for metric %s.%s.", namespace, name)
raise
def create_metric_alarm(
self,
metric_namespace,
metric_name,
alarm_name,
stat_type,
period,
eval_periods,
threshold,
comparison_op,
):
"""
Creates an alarm that watches a metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
:param alarm_name: The name of the alarm.
:param stat_type: The type of statistic the alarm watches.
:param period: The period in which metric data are grouped to calculate
statistics.
:param eval_periods: The number of periods that the metric must be over the
alarm threshold before the alarm is set into an alarmed
state.
:param threshold: The threshold value to compare against the metric statistic.
:param comparison_op: The comparison operation used to compare the threshold
against the metric.
:return: The newly created alarm.
"""
try:
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
alarm = metric.put_alarm(
AlarmName=alarm_name,
Statistic=stat_type,
Period=period,
EvaluationPeriods=eval_periods,
Threshold=threshold,
ComparisonOperator=comparison_op,
)
logger.info(
"Added alarm %s to track metric %s.%s.",
alarm_name,
metric_namespace,
metric_name,
)
except ClientError:
logger.exception(
"Couldn't add alarm %s to metric %s.%s",
alarm_name,
metric_namespace,
metric_name,
)
raise
else:
return alarm
def put_metric_data(self, namespace, name, value, unit):
"""
Sends a single data value to CloudWatch for a metric. This metric is given
a timestamp of the current UTC time.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param value: The value of the metric.
:param unit: The unit of the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
metric.put_data(
Namespace=namespace,
MetricData=[{"MetricName": name, "Value": value, "Unit": unit}],
)
logger.info("Put data for metric %s.%s", namespace, name)
except ClientError:
logger.exception("Couldn't put data for metric %s.%s", namespace, name)
raise
def get_metric_statistics(self, namespace, name, start, end, period, stat_types):
"""
Gets statistics for a metric within a specified time span. Metrics are grouped
into the specified period.
:param namespace: The namespace of the metric.
:param name: The name of the metric.
:param start: The UTC start time of the time span to retrieve.
:param end: The UTC end time of the time span to retrieve.
:param period: The period, in seconds, in which to group metrics. The period
must match the granularity of the metric, which depends on
the metric's age. For example, metrics that are older than
three hours have a one-minute granularity, so the period must
be at least 60 and must be a multiple of 60.
:param stat_types: The type of statistics to retrieve, such as average value
or maximum value.
:return: The retrieved statistics for the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(namespace, name)
stats = metric.get_statistics(
StartTime=start, EndTime=end, Period=period, Statistics=stat_types
)
logger.info(
"Got %s statistics for %s.", len(stats["Datapoints"]), stats["Label"]
)
except ClientError:
logger.exception("Couldn't get statistics for %s.%s.", namespace, name)
raise
else:
return stats
def get_metric_alarms(self, metric_namespace, metric_name):
"""
Gets the alarms that are currently watching the specified metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
:returns: An iterator that yields the alarms.
"""
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
alarm_iter = metric.alarms.all()
logger.info("Got alarms for metric %s.%s.", metric_namespace, metric_name)
return alarm_iter
def delete_metric_alarms(self, metric_namespace, metric_name):
"""
Deletes all of the alarms that are currently watching the specified metric.
:param metric_namespace: The namespace of the metric.
:param metric_name: The name of the metric.
"""
try:
metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
metric.alarms.delete()
logger.info(
"Deleted alarms for metric %s.%s.", metric_namespace, metric_name
)
except ClientError:
logger.exception(
"Couldn't delete alarms for metric %s.%s.",
metric_namespace,
metric_name,
)
raise
```
래퍼 클래스를 사용하여 데이터를 지표에 넣고, 지표를 감시하는 경보를 트리거하고, 경보에서 데이터를 가져옵니다.
```
def usage_demo():
print("-" * 88)
print("Welcome to the Amazon CloudWatch metrics and alarms demo!")
print("-" * 88)
logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
cw_wrapper = CloudWatchWrapper(boto3.resource("cloudwatch"))
minutes = 20
metric_namespace = "doc-example-metric"
metric_name = "page_views"
start = datetime.utcnow() - timedelta(minutes=minutes)
print(
f"Putting data into metric {metric_namespace}.{metric_name} spanning the "
f"last {minutes} minutes."
)
for offset in range(0, minutes):
stamp = start + timedelta(minutes=offset)
cw_wrapper.put_metric_data_set(
metric_namespace,
metric_name,
stamp,
"Count",
{
"values": [
random.randint(bound, bound * 2)
for bound in range(offset + 1, offset + 11)
],
"counts": [random.randint(1, offset + 1) for _ in range(10)],
},
)
alarm_name = "high_page_views"
period = 60
eval_periods = 2
print(f"Creating alarm {alarm_name} for metric {metric_name}.")
alarm = cw_wrapper.create_metric_alarm(
metric_namespace,
metric_name,
alarm_name,
"Maximum",
period,
eval_periods,
100,
"GreaterThanThreshold",
)
print(f"Alarm ARN is {alarm.alarm_arn}.")
print(f"Current alarm state is: {alarm.state_value}.")
print(
f"Sending data to trigger the alarm. This requires data over the threshold "
f"for {eval_periods} periods of {period} seconds each."
)
while alarm.state_value == "INSUFFICIENT_DATA":
print("Sending data for the metric.")
cw_wrapper.put_metric_data(
metric_namespace, metric_name, random.randint(100, 200), "Count"
)
alarm.load()
print(f"Current alarm state is: {alarm.state_value}.")
if alarm.state_value == "INSUFFICIENT_DATA":
print(f"Waiting for {period} seconds...")
time.sleep(period)
else:
print("Wait for a minute for eventual consistency of metric data.")
time.sleep(period)
if alarm.state_value == "OK":
alarm.load()
print(f"Current alarm state is: {alarm.state_value}.")
print(
f"Getting data for metric {metric_namespace}.{metric_name} during timespan "
f"of {start} to {datetime.utcnow()} (times are UTC)."
)
stats = cw_wrapper.get_metric_statistics(
metric_namespace,
metric_name,
start,
datetime.utcnow(),
60,
["Average", "Minimum", "Maximum"],
)
print(
f"Got {len(stats['Datapoints'])} data points for metric "
f"{metric_namespace}.{metric_name}."
)
pprint(sorted(stats["Datapoints"], key=lambda x: x["Timestamp"]))
print(f"Getting alarms for metric {metric_name}.")
alarms = cw_wrapper.get_metric_alarms(metric_namespace, metric_name)
for alarm in alarms:
print(f"Alarm {alarm.name} is currently in state {alarm.state_value}.")
print(f"Deleting alarms for metric {metric_name}.")
cw_wrapper.delete_metric_alarms(metric_namespace, metric_name)
print("Thanks for watching!")
print("-" * 88)
```
+ API 세부 정보는 *AWS SDK for Python (Boto3) API 참조*의 다음 주제를 참조하세요.
+ [DeleteAlarms](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DeleteAlarms)
+ [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DescribeAlarmsForMetric)
+ [DisableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DisableAlarmActions)
+ [EnableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/EnableAlarmActions)
+ [GetMetricStatistics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/GetMetricStatistics)
+ [ListMetrics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/ListMetrics)
+ [PutMetricAlarm](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricAlarm)
+ [PutMetricData](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricData)