Skip to main content

Type annotations for aiobotocore.ComputeOptimizer 2.1.1 service generated by mypy-boto3-builder 7.0.4

Project description

mypy-boto3-compute-optimizer

PyPI - types-aiobotocore-compute-optimizer PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for aiobotocore.ComputeOptimizer 1.20.54 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 7.0.4.

More information can be found on types-aiobotocore page and in types-aiobotocore-compute-optimizer docs

See how it helps to 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 ComputeOptimizer.

From PyPI with pip

Install types-aiobotocore for ComputeOptimizer service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[compute-optimizer]'

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

# standalone installation
python -m pip install types-aiobotocore-compute-optimizer

How to uninstall

python -m pip uninstall -y types-aiobotocore-compute-optimizer

Usage

VSCode

python -m pip install 'types-aiobotocore[compute-optimizer]'

Both type checking and auto-complete should now work. No explicit type annotations required, write your aiobotocore code as usual.

PyCharm

Install types-aiobotocore-lite[compute-optimizer] in your environment:

python -m pip install 'types-aiobotocore-lite[compute-optimizer]'`

Both type checking and auto-complete should now work. Explicit type annotations are required. Use types-aiobotocore package instead for implicit type discovery.

Emacs

  • Install types-aiobotocore with services you use in your environment:
python -m pip install 'types-aiobotocore[compute-optimizer]'
(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-aiobotocore

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

Sublime Text

  • Install types-aiobotocore[compute-optimizer] with services you use in your environment:
python -m pip install 'types-aiobotocore[compute-optimizer]'

Type checking should now work. No explicit type annotations required, write your aiobotocore 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-aiobotocore[compute-optimizer] in your environment:
python -m pip install 'types-aiobotocore[compute-optimizer]'`

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

pyright

  • Install pyright: npm i -g pyright
  • Install types-aiobotocore[compute-optimizer] in your environment:
python -m pip install 'types-aiobotocore[compute-optimizer]'

Optionally, you can install types-aiobotocore to typings folder.

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

Explicit type annotations

Client annotations

ComputeOptimizerClient provides annotations for session.create_client("compute-optimizer").

from aiobotocore.session import get_session

from types_aiobotocore_compute_optimizer import ComputeOptimizerClient

session = get_session()
async with session.create_client("compute-optimizer") as client:
    client: ComputeOptimizerClient
    # now client usage is checked by mypy and IDE should provide code auto-complete

Literals

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

from types_aiobotocore_compute_optimizer.literals import (
    CpuVendorArchitectureType,
    CurrencyType,
    CurrentPerformanceRiskType,
    EBSFilterNameType,
    EBSFindingType,
    EBSMetricNameType,
    EnhancedInfrastructureMetricsType,
    EnrollmentFilterNameType,
    ExportableAutoScalingGroupFieldType,
    ExportableInstanceFieldType,
    ExportableLambdaFunctionFieldType,
    ExportableVolumeFieldType,
    FileFormatType,
    FilterNameType,
    FindingReasonCodeType,
    FindingType,
    InstanceRecommendationFindingReasonCodeType,
    JobFilterNameType,
    JobStatusType,
    LambdaFunctionMemoryMetricNameType,
    LambdaFunctionMemoryMetricStatisticType,
    LambdaFunctionMetricNameType,
    LambdaFunctionMetricStatisticType,
    LambdaFunctionRecommendationFilterNameType,
    LambdaFunctionRecommendationFindingReasonCodeType,
    LambdaFunctionRecommendationFindingType,
    MetricNameType,
    MetricStatisticType,
    PlatformDifferenceType,
    RecommendationPreferenceNameType,
    RecommendationSourceTypeType,
    ResourceTypeType,
    ScopeNameType,
    StatusType,
    ServiceName,
)

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

Typed dictionaries

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

from types_aiobotocore_compute_optimizer.type_defs import (
    AccountEnrollmentStatusTypeDef,
    AutoScalingGroupConfigurationTypeDef,
    AutoScalingGroupRecommendationOptionTypeDef,
    AutoScalingGroupRecommendationTypeDef,
    CurrentPerformanceRiskRatingsTypeDef,
    DeleteRecommendationPreferencesRequestRequestTypeDef,
    DescribeRecommendationExportJobsRequestRequestTypeDef,
    DescribeRecommendationExportJobsResponseTypeDef,
    EBSFilterTypeDef,
    EBSUtilizationMetricTypeDef,
    EffectiveRecommendationPreferencesTypeDef,
    EnrollmentFilterTypeDef,
    EstimatedMonthlySavingsTypeDef,
    ExportAutoScalingGroupRecommendationsRequestRequestTypeDef,
    ExportAutoScalingGroupRecommendationsResponseTypeDef,
    ExportDestinationTypeDef,
    ExportEBSVolumeRecommendationsRequestRequestTypeDef,
    ExportEBSVolumeRecommendationsResponseTypeDef,
    ExportEC2InstanceRecommendationsRequestRequestTypeDef,
    ExportEC2InstanceRecommendationsResponseTypeDef,
    ExportLambdaFunctionRecommendationsRequestRequestTypeDef,
    ExportLambdaFunctionRecommendationsResponseTypeDef,
    FilterTypeDef,
    GetAutoScalingGroupRecommendationsRequestRequestTypeDef,
    GetAutoScalingGroupRecommendationsResponseTypeDef,
    GetEBSVolumeRecommendationsRequestRequestTypeDef,
    GetEBSVolumeRecommendationsResponseTypeDef,
    GetEC2InstanceRecommendationsRequestRequestTypeDef,
    GetEC2InstanceRecommendationsResponseTypeDef,
    GetEC2RecommendationProjectedMetricsRequestRequestTypeDef,
    GetEC2RecommendationProjectedMetricsResponseTypeDef,
    GetEffectiveRecommendationPreferencesRequestRequestTypeDef,
    GetEffectiveRecommendationPreferencesResponseTypeDef,
    GetEnrollmentStatusResponseTypeDef,
    GetEnrollmentStatusesForOrganizationRequestRequestTypeDef,
    GetEnrollmentStatusesForOrganizationResponseTypeDef,
    GetLambdaFunctionRecommendationsRequestRequestTypeDef,
    GetLambdaFunctionRecommendationsResponseTypeDef,
    GetRecommendationErrorTypeDef,
    GetRecommendationPreferencesRequestRequestTypeDef,
    GetRecommendationPreferencesResponseTypeDef,
    GetRecommendationSummariesRequestRequestTypeDef,
    GetRecommendationSummariesResponseTypeDef,
    InstanceRecommendationOptionTypeDef,
    InstanceRecommendationTypeDef,
    JobFilterTypeDef,
    LambdaFunctionMemoryProjectedMetricTypeDef,
    LambdaFunctionMemoryRecommendationOptionTypeDef,
    LambdaFunctionRecommendationFilterTypeDef,
    LambdaFunctionRecommendationTypeDef,
    LambdaFunctionUtilizationMetricTypeDef,
    ProjectedMetricTypeDef,
    PutRecommendationPreferencesRequestRequestTypeDef,
    ReasonCodeSummaryTypeDef,
    RecommendationExportJobTypeDef,
    RecommendationPreferencesDetailTypeDef,
    RecommendationPreferencesTypeDef,
    RecommendationSourceTypeDef,
    RecommendationSummaryTypeDef,
    RecommendedOptionProjectedMetricTypeDef,
    ResponseMetadataTypeDef,
    S3DestinationConfigTypeDef,
    S3DestinationTypeDef,
    SavingsOpportunityTypeDef,
    ScopeTypeDef,
    SummaryTypeDef,
    UpdateEnrollmentStatusRequestRequestTypeDef,
    UpdateEnrollmentStatusResponseTypeDef,
    UtilizationMetricTypeDef,
    VolumeConfigurationTypeDef,
    VolumeRecommendationOptionTypeDef,
    VolumeRecommendationTypeDef,
)

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

How it works

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

  • All available aiobotocore services are covered.
  • Each public class and method of every aiobotocore service gets valid type annotations extracted from the documentation (blame botocore docs if types are incorrect).
  • Type annotations include up-to-date documentation.
  • Link to documentation is provided for every method.
  • Code is processed by black and isort for readability.

What's new

Implemented features

  • Fully type annotated boto3, botocore and aiobotocore 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.session calls
  • Auto discovery of types for session.client and session.session 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-aiobotocore-compute-optimizer version is the same as related aiobotocore version and follows PEP 440 format.

Thank you

Documentation

All services type annotations can be found in aiobotocore docs

Support and contributing

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

types-aiobotocore-compute-optimizer-2.1.1.tar.gz (20.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file types-aiobotocore-compute-optimizer-2.1.1.tar.gz.

File metadata

  • Download URL: types-aiobotocore-compute-optimizer-2.1.1.tar.gz
  • Upload date:
  • Size: 20.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for types-aiobotocore-compute-optimizer-2.1.1.tar.gz
Algorithm Hash digest
SHA256 3b1fd66421ad165c92408501e53a50c9ad3ee6c98e75235950cd431fcf65280d
MD5 f6756db3e0d2b60ed30130e827213d2c
BLAKE2b-256 6b379368dca7a1980bd36a1ff2c1ba3600626f56d6d6c143ca733d2795311d54

See more details on using hashes here.

File details

Details for the file types_aiobotocore_compute_optimizer-2.1.1-py3-none-any.whl.

File metadata

  • Download URL: types_aiobotocore_compute_optimizer-2.1.1-py3-none-any.whl
  • Upload date:
  • Size: 27.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for types_aiobotocore_compute_optimizer-2.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5502c15703140a5c49b500ee61a04f087e141e51c013f3d438003c12e7665c3b
MD5 e088f06a0afafeb6fd27fbbaa0f56975
BLAKE2b-256 7db30cef557383ac6db681b9902e2381f4062cea3ead9976213672d8a6f6faee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page