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Glacier module#

Index > Glacier

Auto-generated documentation for Glacier type annotations stubs module mypy-boto3-glacier.

How to install#

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.36.2' mypy_boto3_builder
  2. Select boto3-stubs AWS SDK.
  3. Add Glacier service.
  4. Use provided commands to install generated packages.

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#

Code samples can be found in Examples.

GlacierClient#

Type annotations and code completion for boto3.client("glacier") as GlacierClient boto3 documentation

# GlacierClient usage example

from boto3.session import Session

from mypy_boto3_glacier.client import GlacierClient

def get_client() -> GlacierClient:
    return Session().client("glacier")

Paginators#

Type annotations and code completion for paginators from boto3.client("glacier").get_paginator("...").

# ListJobsPaginator usage example

from boto3.session import Session

from mypy_boto3_glacier.paginator import ListJobsPaginator

def get_list_jobs_paginator() -> ListJobsPaginator:
    return Session().client("glacier").get_paginator("list_jobs"))