Weitere AWS SDK-Beispiele sind im GitHub Repo [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) verfügbar.
Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich.
# CloudWatch Beispiele mit SDK for Python (Boto3)
Die folgenden Codebeispiele zeigen Ihnen, wie Sie mithilfe von AWS SDK für Python (Boto3) with Aktionen ausführen und allgemeine Szenarien implementieren CloudWatch.
*Aktionen* sind Codeauszüge aus größeren Programmen und müssen im Kontext ausgeführt werden. Während Aktionen Ihnen zeigen, wie Sie einzelne Service-Funktionen aufrufen, können Sie Aktionen im Kontext der zugehörigen Szenarien anzeigen.
*Szenarien* sind Codebeispiele, die Ihnen zeigen, wie Sie bestimmte Aufgaben ausführen, indem Sie mehrere Funktionen innerhalb eines Service aufrufen oder mit anderen AWS-Services kombinieren.
Jedes Beispiel enthält einen Link zum vollständigen Quellcode, wo Sie Anweisungen zum Einrichten und Ausführen des Codes im Kodex finden.
**Topics**
+ [Aktionen](#actions)
+ [Szenarien](#scenarios)
## Aktionen
### `DeleteAlarms`
Das folgende Codebeispiel zeigt, wie Sie`DeleteAlarms`.
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [DeleteAlarms](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DeleteAlarms)in *AWS SDK for Python (Boto3) API* Reference.
### `DescribeAlarmsForMetric`
Das folgende Codebeispiel zeigt die Verwendung. `DescribeAlarmsForMetric`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DescribeAlarmsForMetric)in *AWS SDK for Python (Boto3) API* Reference.
### `DisableAlarmActions`
Das folgende Codebeispiel zeigt die Verwendung. `DisableAlarmActions`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [DisableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DisableAlarmActions)in *AWS SDK for Python (Boto3) API* Reference.
### `EnableAlarmActions`
Das folgende Codebeispiel zeigt die Verwendung. `EnableAlarmActions`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [EnableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/EnableAlarmActions)in *AWS SDK for Python (Boto3) API* Reference.
### `GetMetricStatistics`
Das folgende Codebeispiel zeigt die Verwendung. `GetMetricStatistics`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [GetMetricStatistics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/GetMetricStatistics)in *AWS SDK for Python (Boto3) API* Reference.
### `ListMetrics`
Das folgende Codebeispiel zeigt die Verwendung. `ListMetrics`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [ListMetrics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/ListMetrics)in *AWS SDK for Python (Boto3) API* Reference.
### `PutMetricAlarm`
Das folgende Codebeispiel zeigt die Verwendung. `PutMetricAlarm`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
+ Einzelheiten zur API finden Sie [PutMetricAlarm](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricAlarm)in *AWS SDK for Python (Boto3) API* Reference.
### `PutMetricData`
Das folgende Codebeispiel zeigt die Verwendung. `PutMetricData`
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
```
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
```
Setze einen Datensatz in eine CloudWatch Metrik um.
```
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
```
+ Einzelheiten zur API finden Sie [PutMetricData](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricData)in *AWS SDK for Python (Boto3) API* Reference.
## Szenarien
### Metriken und Alarme verwalten
Wie das aussehen kann, sehen Sie am nachfolgenden Beispielcode:
+ Erstellen Sie einen Alarm, um eine CloudWatch Metrik zu beobachten.
+ Geben Sie Daten in eine Metrik ein und lösen Sie den Alarm aus.
+ Rufen Sie Daten aus dem Alarm ab.
+ Löschen Sie den Alarm.
**SDK für Python (Boto3)**
Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples) einrichten und ausführen.
Erstellen Sie eine Klasse, die CloudWatch Operationen umschließt.
```
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
```
Verwenden Sie die Wrapper-Klasse, um Daten in eine Metrik einzugeben, einen Alarm auszulösen, der die Metrik überwacht, und Daten aus dem Alarm abzurufen.
```
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)
```
+ Weitere API-Informationen finden Sie in den folgenden Themen der *API-Referenz zum AWS SDK für Python (Boto3)*.
+ [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)