mypy-boto3-cloudwatch 1.16.31.1

Type annotations for boto3.CloudWatch 1.16.31 service, generated by mypy-boto3-buider 4.2.0

mypy-boto3-cloudwatch

Type annotations for boto3.CloudWatch 1.16.31 service compatible with VSCode, PyCharm, mypy, pyright and other tools.

Generated by mypy-boto3-buider 4.2.0.

More information can be found on boto3-stubs page.

See how it helps to find and fix potential bugs:

• mypy-boto3-cloudwatch
  • How to install
  • Usage
    • VSCode
    • PyCharm
    • Other IDEs
    • mypy
    • pyright
  • Explicit type annotations
    • Client annotations
    • Paginators annotations
    • Waiters annotations
    • Service Resource annotations
    • Other resources annotations
    • Collections annotations
    • Typed dictionations

How to install

Install boto3-stubs for CloudWatch service.

python -m pip install boto3-stubs[cloudwatch]

Usage

VSCode

• Install Python extension
• Install Pylance extension
• Set Pylance as your Python Language Server
• Install boto-stubs[cloudwatch] in your environment: python -m pip install 'boto3-stubs[cloudwatch]'

Both type checking and auto-complete should work for CloudWatch service. No explicit type annotations required, write your boto3 code as usual.

PyCharm

• Install boto-stubs[cloudwatch] in your environment: python -m pip install 'boto3-stubs[cloudwatch]'

Both type checking and auto-complete should work for CloudWatch service. No explicit type annotations required, write your boto3 code as usual. Auto-complete can be slow on big projects or if you have a lot of installed boto3-stubs submodules.

Other IDEs

Not tested, but as long as your IDE support mypy or pyright, everything should work.

mypy

• Install mypy: python -m pip install mypy
• Install boto-stubs[cloudwatch] in your environment: python -m pip install 'boto3-stubs[cloudwatch]'
• Run mypy as usual

Type checking should work for CloudWatch service. No explicit type annotations required, write your boto3 code as usual.

pyright

• Install pyright: yarn global add pyright
• Install boto-stubs[cloudwatch] in your environment: python -m pip install 'boto3-stubs[cloudwatch]'
• Optionally, you can install boto3-stubs to typings folder.

Type checking should work for CloudWatch service. No explicit type annotations required, write your boto3 code as usual.

Explicit type annotations

Client annotations

CloudWatchClient provides annotations for boto3.client("cloudwatch").

import boto3

from mypy_boto3_cloudwatch import CloudWatchClient

client: CloudWatchClient = boto3.client("cloudwatch")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: CloudWatchClient = session.client("cloudwatch")

Paginators annotations

mypy_boto3_cloudwatch.paginator module contains type annotations for all paginators.

from mypy_boto3_cloudwatch import CloudWatchClient
from mypy_boto3_cloudwatch.paginator import (
    DescribeAlarmHistoryPaginator,
    DescribeAlarmsPaginator,
    GetMetricDataPaginator,
    ListDashboardsPaginator,
    ListMetricsPaginator,
)

client: CloudWatchClient = boto3.client("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_alarm_history_paginator: DescribeAlarmHistoryPaginator = client.get_paginator("describe_alarm_history")
describe_alarms_paginator: DescribeAlarmsPaginator = client.get_paginator("describe_alarms")
get_metric_data_paginator: GetMetricDataPaginator = client.get_paginator("get_metric_data")
list_dashboards_paginator: ListDashboardsPaginator = client.get_paginator("list_dashboards")
list_metrics_paginator: ListMetricsPaginator = client.get_paginator("list_metrics")

Waiters annotations

mypy_boto3_cloudwatch.waiter module contains type annotations for all waiters.

from mypy_boto3_cloudwatch import CloudWatchClient
from mypy_boto3_cloudwatch.waiter import AlarmExistsWaiter, CompositeAlarmExistsWaiter

client: CloudWatchClient = boto3.client("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
alarm_exists_waiter: AlarmExistsWaiter = client.get_waiter("alarm_exists")
composite_alarm_exists_waiter: CompositeAlarmExistsWaiter = client.get_waiter("composite_alarm_exists")

Service Resource annotations

CloudWatchServiceResource provides annotations for boto3.resource("cloudwatch").

from mypy_boto3_cloudwatch import CloudWatchServiceResource

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# now resource usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_resource: CloudWatchServiceResource = session.resource("cloudwatch")

Other resources annotations

mypy_boto3_cloudwatch.service_resource module contains type annotations for all resources.

from mypy_boto3_cloudwatch import CloudWatchServiceResource
from mypy_boto3_cloudwatch.service_resource import Alarm, Metric

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
my_alarm: Alarm = resource.Alarm(...)
my_metric: Metric = resource.Metric(...)

Collections annotations

mypy_boto3_cloudwatch.service_resource module contains type annotations for all CloudWatchServiceResource collections.

from mypy_boto3_cloudwatch import CloudWatchServiceResource
from mypy_boto3_cloudwatch.service_resource import (
    ServiceResourceAlarmsCollection,
    ServiceResourceMetricsCollection,
)

resource: CloudWatchServiceResource = boto3.resource("cloudwatch")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
alarms: cloudwatch_resources.ServiceResourceAlarmsCollection = resource.alarms
metrics: cloudwatch_resources.ServiceResourceMetricsCollection = resource.metrics

Typed dictionations

mypy_boto3_cloudwatch.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

from mypy_boto3_cloudwatch.type_defs import (
    AlarmHistoryItemTypeDef,
    AnomalyDetectorConfigurationTypeDef,
    AnomalyDetectorTypeDef,
    CompositeAlarmTypeDef,
    DashboardEntryTypeDef,
    DashboardValidationMessageTypeDef,
    DatapointTypeDef,
    DeleteInsightRulesOutputTypeDef,
    DescribeAlarmHistoryOutputTypeDef,
    DescribeAlarmsForMetricOutputTypeDef,
    DescribeAlarmsOutputTypeDef,
    DescribeAnomalyDetectorsOutputTypeDef,
    DescribeInsightRulesOutputTypeDef,
    DimensionFilterTypeDef,
    DimensionTypeDef,
    DisableInsightRulesOutputTypeDef,
    EnableInsightRulesOutputTypeDef,
    GetDashboardOutputTypeDef,
    GetInsightRuleReportOutputTypeDef,
    GetMetricDataOutputTypeDef,
    GetMetricStatisticsOutputTypeDef,
    GetMetricWidgetImageOutputTypeDef,
    InsightRuleContributorDatapointTypeDef,
    InsightRuleContributorTypeDef,
    InsightRuleMetricDatapointTypeDef,
    InsightRuleTypeDef,
    ListDashboardsOutputTypeDef,
    ListMetricsOutputTypeDef,
    ListTagsForResourceOutputTypeDef,
    MessageDataTypeDef,
    MetricAlarmTypeDef,
    MetricDataQueryTypeDef,
    MetricDataResultTypeDef,
    MetricDatumTypeDef,
    MetricStatTypeDef,
    MetricTypeDef,
    PaginatorConfigTypeDef,
    PartialFailureTypeDef,
    PutDashboardOutputTypeDef,
    RangeTypeDef,
    ResponseMetadata,
    StatisticSetTypeDef,
    TagTypeDef,
    WaiterConfigTypeDef,
)

def get_structure() -> AlarmHistoryItemTypeDef:
    return {
      ...
    }