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mypy-boto3-wafv2

Type annotations for boto3 WAFV2 1.42.57 service generated with mypy-boto3-builder 8.12.0

Rank: #3390Downloads: 1,396,719 (30 days)Stars: 660Forks: 41

Description

<a id="mypy-boto3-wafv2"></a>

mypy-boto3-wafv2

PyPI - mypy-boto3-wafv2 PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for boto3 WAFV2 1.42.57 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated with mypy-boto3-builder 8.12.0.

More information can be found on boto3-stubs page and in mypy-boto3-wafv2 docs.

See how it helps you find and fix potential bugs:

types-boto3 demo

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How to install

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Generate locally (recommended)

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==1.42.57' mypy-boto3-builder
  2. Select boto3-stubs AWS SDK.
  3. Add WAFV2 service.
  4. Use provided commands to install generated packages.

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VSCode extension

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

Click Modify and select boto3 common and WAFV2.

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From PyPI with pip

Install boto3-stubs for WAFV2 service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[wafv2]'

# 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[wafv2]'

# standalone installation
python -m pip install mypy-boto3-wafv2

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How to uninstall

python -m pip uninstall -y mypy-boto3-wafv2

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Usage

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VSCode

python -m pip install 'boto3-stubs[wafv2]'

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

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PyCharm

⚠️ Due to slow PyCharm performance on Literal overloads (issue PY-40997), it is recommended to use boto3-stubs-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 boto3-stubs with boto3-stubs-lite:

pip uninstall boto3-stubs
pip install boto3-stubs-lite

Install boto3-stubs[wafv2] in your environment:

python -m pip install 'boto3-stubs[wafv2]'

Both type checking and code completion should now work.

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Emacs

  • Install boto3-stubs with services you use in your environment:
python -m pip install 'boto3-stubs[wafv2]'
(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.

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Sublime Text

  • Install boto3-stubs[wafv2] with services you use in your environment:
python -m pip install 'boto3-stubs[wafv2]'

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

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Other IDEs

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

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mypy

  • Install mypy: python -m pip install mypy
  • Install boto3-stubs[wafv2] in your environment:
python -m pip install 'boto3-stubs[wafv2]'

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

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pyright

  • Install pyright: npm i -g pyright
  • Install boto3-stubs[wafv2] in your environment:
python -m pip install 'boto3-stubs[wafv2]'

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

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

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Pylint compatibility

It is totally safe to use TYPE_CHECKING flag in order to avoid mypy-boto3-wafv2 dependency in production. However, there is an issue in pylint that it complains about undefined variables. To fix it, set all types to object in non-TYPE_CHECKING mode.

from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from mypy_boto3_ec2 import EC2Client, EC2ServiceResource
    from mypy_boto3_ec2.waiters import BundleTaskCompleteWaiter
    from mypy_boto3_ec2.paginators import DescribeVolumesPaginator
else:
    EC2Client = object
    EC2ServiceResource = object
    BundleTaskCompleteWaiter = object
    DescribeVolumesPaginator = object

...

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Explicit type annotations

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Client annotations

WAFV2Client provides annotations for boto3.client("wafv2").

from boto3.session import Session

from mypy_boto3_wafv2 import WAFV2Client

client: WAFV2Client = Session().client("wafv2")

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

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Literals

mypy_boto3_wafv2.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of WAFV2 Literals can be found in docs.

from mypy_boto3_wafv2.literals import ActionValueType


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

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Type definitions

mypy_boto3_wafv2.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of WAFV2 TypeDefs can be found in docs.

# TypedDict usage example
from mypy_boto3_wafv2.type_defs import APIKeySummaryTypeDef


def get_value() -> APIKeySummaryTypeDef:
    return {
        "TokenDomains": ...,
    }

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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