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Type annotations for boto3.Glacier 1.34.0 service generated with mypy-boto3-builder 7.21.0

Project description

mypy-boto3-glacier

PyPI - mypy-boto3-glacier PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for boto3.Glacier 1.34.0 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 7.21.0.

More information can be found on boto3-stubs page and in mypy-boto3-glacier 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 Glacier.

From PyPI with pip

Install boto3-stubs for Glacier service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[glacier]'


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


# standalone installation
python -m pip install mypy-boto3-glacier

How to uninstall

python -m pip uninstall -y mypy-boto3-glacier

Usage

VSCode

python -m pip install 'boto3-stubs[glacier]'

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

PyCharm

Install boto3-stubs-lite[glacier] in your environment:

python -m pip install 'boto3-stubs-lite[glacier]'`

Both type checking and code completion should now work. Explicit type annotations are required.

Use boto3-stubs package instead for implicit type discovery.

Emacs

  • Install boto3-stubs with services you use in your environment:
python -m pip install 'boto3-stubs[glacier]'
(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 boto3-stubs

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

Sublime Text

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

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 boto3-stubs[glacier] in your environment:
python -m pip install 'boto3-stubs[glacier]'`

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

pyright

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

Optionally, you can install boto3-stubs to typings folder.

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

Explicit type annotations

Client annotations

GlacierClient provides annotations for boto3.client("glacier").

from boto3.session import Session

from mypy_boto3_glacier import GlacierClient

client: GlacierClient = Session().client("glacier")

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

Paginators annotations

mypy_boto3_glacier.paginator module contains type annotations for all paginators.

from boto3.session import Session

from mypy_boto3_glacier import GlacierClient
from mypy_boto3_glacier.paginator import (
    ListJobsPaginator,
    ListMultipartUploadsPaginator,
    ListPartsPaginator,
    ListVaultsPaginator,
)

client: GlacierClient = Session().client("glacier")

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
list_jobs_paginator: ListJobsPaginator = client.get_paginator("list_jobs")
list_multipart_uploads_paginator: ListMultipartUploadsPaginator = client.get_paginator(
    "list_multipart_uploads"
)
list_parts_paginator: ListPartsPaginator = client.get_paginator("list_parts")
list_vaults_paginator: ListVaultsPaginator = client.get_paginator("list_vaults")

Waiters annotations

mypy_boto3_glacier.waiter module contains type annotations for all waiters.

from boto3.session import Session

from mypy_boto3_glacier import GlacierClient
from mypy_boto3_glacier.waiter import VaultExistsWaiter, VaultNotExistsWaiter

client: GlacierClient = Session().client("glacier")

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
vault_exists_waiter: VaultExistsWaiter = client.get_waiter("vault_exists")
vault_not_exists_waiter: VaultNotExistsWaiter = client.get_waiter("vault_not_exists")

Service Resource annotations

GlacierServiceResource provides annotations for boto3.resource("glacier").

from boto3.session import Session

from mypy_boto3_glacier import GlacierServiceResource

resource: GlacierServiceResource = Session().resource("glacier")

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

Other resources annotations

mypy_boto3_glacier.service_resource module contains type annotations for all resources.

from boto3.session import Session

from mypy_boto3_glacier import GlacierServiceResource
from mypy_boto3_glacier.service_resource import (
    Account,
    Archive,
    Job,
    MultipartUpload,
    Notification,
    Vault,
)

resource: GlacierServiceResource = Session().resource("glacier")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
my_account: Account = resource.Account(...)
my_archive: Archive = resource.Archive(...)
my_job: Job = resource.Job(...)
my_multipart_upload: MultipartUpload = resource.MultipartUpload(...)
my_notification: Notification = resource.Notification(...)
my_vault: Vault = resource.Vault(...)

Collections annotations

mypy_boto3_glacier.service_resource module contains type annotations for all GlacierServiceResource collections.

from boto3.session import Session

from mypy_boto3_glacier import GlacierServiceResource
from mypy_boto3_glacier.service_resource import ServiceResourceVaultsCollection

resource: GlacierServiceResource = Session().resource("glacier")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
vaults: glacier_resources.ServiceResourceVaultsCollection = resource.vaults

Literals

mypy_boto3_glacier.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of Glacier Literals can be found in docs.

from mypy_boto3_glacier.literals import ActionCodeType


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

Type definitions

mypy_boto3_glacier.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of Glacier TypeDefs can be found in docs.

from mypy_boto3_glacier.type_defs import AbortMultipartUploadInputRequestTypeDef


def get_value() -> AbortMultipartUploadInputRequestTypeDef:
    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 black and isort 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

mypy-boto3-glacier 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.

Project details


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