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Type annotations for boto3 CloudWatch 1.35.71 service generated with mypy-boto3-builder 8.4.1

Project description

types-boto3-cloudwatch

PyPI - types-boto3-cloudwatch PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for boto3 CloudWatch 1.35.71 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 8.4.1.

More information can be found on types-boto3 page and in types-boto3-cloudwatch docs.

See how it helps you find and fix potential bugs:

boto3-stubs demo

How to install

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and CloudWatch.

From PyPI with pip

Install types-boto3 for CloudWatch service.

# install with boto3 type annotations
python -m pip install 'types-boto3[cloudwatch]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[cloudwatch]'


# standalone installation
python -m pip install types-boto3-cloudwatch

How to uninstall

python -m pip uninstall -y types-boto3-cloudwatch

Usage

VSCode

python -m pip install 'types-boto3[cloudwatch]'

Both type checking and code completion should now work. No explicit type annotations required, write your boto3 code as usual.

PyCharm

⚠️ Due to slow PyCharm performance on Literal overloads (issue PY-40997), it is recommended to use types-boto3-lite until the issue is resolved.

⚠️ If you experience slow performance and high CPU usage, try to disable PyCharm type checker and use mypy or pyright instead.

⚠️ To continue using PyCharm type checker, you can try to replace types-boto3 with types-boto3-lite:

pip uninstall types-boto3
pip install types-boto3-lite

Install types-boto3[cloudwatch] in your environment:

python -m pip install 'types-boto3[cloudwatch]'

Both type checking and code completion should now work.

Emacs

  • Install types-boto3 with services you use in your environment:
python -m pip install 'types-boto3[cloudwatch]'
(use-package lsp-pyright
  :ensure t
  :hook (python-mode . (lambda ()
                          (require 'lsp-pyright)
                          (lsp)))  ; or lsp-deferred
  :init (when (executable-find "python3")
          (setq lsp-pyright-python-executable-cmd "python3"))
  )
  • Make sure emacs uses the environment where you have installed types-boto3

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

Sublime Text

  • Install types-boto3[cloudwatch] with services you use in your environment:
python -m pip install 'types-boto3[cloudwatch]'

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

Other IDEs

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

mypy

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

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

pyright

  • Install pyright: npm i -g pyright
  • Install types-boto3[cloudwatch] in your environment:
python -m pip install 'types-boto3[cloudwatch]'

Optionally, you can install types-boto3 to typings directory.

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

Explicit type annotations

Client annotations

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

from boto3.session import Session

from types_boto3_cloudwatch import CloudWatchClient

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

# now client usage is checked by mypy and IDE should provide code completion

Paginators annotations

types_boto3_cloudwatch.paginator module contains type annotations for all paginators.

from boto3.session import Session

from types_boto3_cloudwatch import CloudWatchClient
from types_boto3_cloudwatch.paginator import (
    DescribeAlarmHistoryPaginator,
    DescribeAlarmsPaginator,
    DescribeAnomalyDetectorsPaginator,
    GetMetricDataPaginator,
    ListDashboardsPaginator,
    ListMetricsPaginator,
)

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

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
describe_alarm_history_paginator: DescribeAlarmHistoryPaginator = client.get_paginator(
    "describe_alarm_history"
)
describe_alarms_paginator: DescribeAlarmsPaginator = client.get_paginator("describe_alarms")
describe_anomaly_detectors_paginator: DescribeAnomalyDetectorsPaginator = client.get_paginator(
    "describe_anomaly_detectors"
)
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

types_boto3_cloudwatch.waiter module contains type annotations for all waiters.

from boto3.session import Session

from types_boto3_cloudwatch import CloudWatchClient
from types_boto3_cloudwatch.waiter import AlarmExistsWaiter, CompositeAlarmExistsWaiter

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

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
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 boto3.session import Session

from types_boto3_cloudwatch import CloudWatchServiceResource

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

# now resource usage is checked by mypy and IDE should provide code completion

Other resources annotations

types_boto3_cloudwatch.service_resource module contains type annotations for all resources.

from boto3.session import Session

from types_boto3_cloudwatch import CloudWatchServiceResource
from types_boto3_cloudwatch.service_resource import Alarm, Metric

resource: CloudWatchServiceResource = Session().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

types_boto3_cloudwatch.service_resource module contains type annotations for all CloudWatchServiceResource collections.

from boto3.session import Session

from types_boto3_cloudwatch import CloudWatchServiceResource
from types_boto3_cloudwatch.service_resource import (
    ServiceResourceAlarmsCollection,
    ServiceResourceMetricsCollection,
)

resource: CloudWatchServiceResource = Session().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

Literals

types_boto3_cloudwatch.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of CloudWatch Literals can be found in docs.

from types_boto3_cloudwatch.literals import ActionsSuppressedByType


def check_value(value: ActionsSuppressedByType) -> bool: ...

Type definitions

types_boto3_cloudwatch.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of CloudWatch TypeDefs can be found in docs.

from types_boto3_cloudwatch.type_defs import AlarmHistoryItemTypeDef


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

How it works

Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for boto3 updates. It delivers drop-in type annotations for you and makes sure that:

  • All available boto3 services are covered.
  • Each public class and method of every boto3 service gets valid type annotations extracted from botocore schemas.
  • Type annotations include up-to-date documentation.
  • Link to documentation is provided for every method.
  • Code is processed by ruff for readability.

What's new

Implemented features

  • Fully type annotated boto3, botocore, aiobotocore and aioboto3 libraries
  • mypy, pyright, VSCode, PyCharm, Sublime Text and Emacs compatibility
  • Client, ServiceResource, Resource, Waiter Paginator type annotations for each service
  • Generated TypeDefs for each service
  • Generated Literals for each service
  • Auto discovery of types for boto3.client and boto3.resource calls
  • Auto discovery of types for session.client and session.resource calls
  • Auto discovery of types for client.get_waiter and client.get_paginator calls
  • Auto discovery of types for ServiceResource and Resource collections
  • Auto discovery of types for aiobotocore.Session.create_client calls

Latest changes

Builder changelog can be found in Releases.

Versioning

types-boto3-cloudwatch version is the same as related boto3 version and follows PEP 440 format.

Thank you

Documentation

All services type annotations can be found in boto3 docs

Support and contributing

This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.

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