Hay más ejemplos de AWS SDK disponibles en el GitHub repositorio de [ejemplos de AWS Doc SDK](https://github.com/awsdocs/aws-doc-sdk-examples).
Las traducciones son generadas a través de traducción automática. En caso de conflicto entre la traducción y la version original de inglés, prevalecerá la version en inglés.
# CloudWatch ejemplos de uso del SDK para Python (Boto3)
Los siguientes ejemplos de código muestran cómo realizar acciones e implementar escenarios comunes mediante el uso del AWS SDK para Python (Boto3) with CloudWatch.
Las *acciones* son extractos de código de programas más grandes y deben ejecutarse en contexto. Mientras las acciones muestran cómo llamar a las distintas funciones de servicio, es posible ver las acciones en contexto en los escenarios relacionados.
Los *escenarios* son ejemplos de código que muestran cómo llevar a cabo una tarea específica a través de llamadas a varias funciones dentro del servicio o combinado con otros Servicios de AWS.
En cada ejemplo se incluye un enlace al código de origen completo, con instrucciones de configuración y ejecución del código en el contexto.
**Topics**
+ [Acciones](#actions)
+ [Escenarios](#scenarios)
## Acciones
### `DeleteAlarms`
En el siguiente ejemplo de código, se muestra cómo utilizar `DeleteAlarms`.
**SDK para Python (Boto3)**
Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DeleteAlarms)la *AWS Referencia de API de SDK for Python (Boto3*).
### `DescribeAlarmsForMetric`
En el siguiente ejemplo de código, se muestra cómo utilizar `DescribeAlarmsForMetric`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DescribeAlarmsForMetric)la *AWS Referencia de API de SDK for Python (Boto3*).
### `DisableAlarmActions`
En el siguiente ejemplo de código, se muestra cómo utilizar `DisableAlarmActions`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DisableAlarmActions)la *AWS Referencia de API de SDK for Python (Boto3*).
### `EnableAlarmActions`
En el siguiente ejemplo de código, se muestra cómo utilizar `EnableAlarmActions`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/EnableAlarmActions)la *AWS Referencia de API de SDK for Python (Boto3*).
### `GetMetricStatistics`
En el siguiente ejemplo de código, se muestra cómo utilizar `GetMetricStatistics`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [GetMetricStatistics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/GetMetricStatistics)la *AWS Referencia de API de SDK for Python (Boto3*).
### `ListMetrics`
En el siguiente ejemplo de código, se muestra cómo utilizar `ListMetrics`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/ListMetrics)la *AWS Referencia de API de SDK for Python (Boto3*).
### `PutMetricAlarm`
En el siguiente ejemplo de código, se muestra cómo utilizar `PutMetricAlarm`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
+ Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricAlarm)la *AWS Referencia de API de SDK for Python (Boto3*).
### `PutMetricData`
En el siguiente ejemplo de código, se muestra cómo utilizar `PutMetricData`.
**SDK para Python (Boto3)**
Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
```
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
```
Coloca un conjunto de datos en una CloudWatch métrica.
```
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
```
+ Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricData)la *AWS Referencia de API de SDK for Python (Boto3*).
## Escenarios
### Gestionar métricas y alarmas
En el siguiente ejemplo de código, se muestra cómo:
+ Crea una alarma para ver una CloudWatch métrica.
+ Coloque los datos en una métrica y desencadene la alarma.
+ Obtenga datos de la alarma.
+ Elimine la alarma.
**SDK para Python (Boto3)**
Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples).
Crea una clase que abarque CloudWatch las operaciones.
```
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
```
Utilice la clase wrapper para colocar datos en una métrica, desencadenar una alarma que observa la métrica y obtener datos de la alarma.
```
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)
```
+ Para obtener información sobre la API, consulte los siguientes temas en la *Referencia de la API de AWS SDK para 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)