Skip to main content

Type annotations for aiobotocore WAF 2.18.0 service generated with mypy-boto3-builder 8.8.0

Project description

types-aiobotocore-waf

PyPI - types-aiobotocore-waf PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for aiobotocore WAF 2.18.0 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated with mypy-boto3-builder 8.8.0.

More information can be found on types-aiobotocore page and in types-aiobotocore-waf docs.

See how it helps you find and fix potential bugs:

types-boto3 demo

How to install

Generate locally (recommended)

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

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==2.18.0' mypy_boto3_builder
  2. Select aiobotocore AWS SDK.
  3. Add WAF service.
  4. Use provided commands to install generated packages.

From PyPI with pip

Install types-aiobotocore for WAF service.

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

# 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[waf]'

# standalone installation
python -m pip install types-aiobotocore-waf

How to uninstall

python -m pip uninstall -y types-aiobotocore-waf

Usage

VSCode

python -m pip install 'types-aiobotocore[waf]'

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

PyCharm

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

pip uninstall types-aiobotocore
pip install types-aiobotocore-lite

Install types-aiobotocore[waf] in your environment:

python -m pip install 'types-aiobotocore[waf]'

Both type checking and code completion should now work.

Emacs

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

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[waf] in your environment:
python -m pip install 'types-aiobotocore[waf]'

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[waf] in your environment:
python -m pip install 'types-aiobotocore[waf]'

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

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

Pylint compatibility

It is totally safe to use TYPE_CHECKING flag in order to avoid types-aiobotocore-waf 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 types_aiobotocore_ec2 import EC2Client, EC2ServiceResource
    from types_aiobotocore_ec2.waiters import BundleTaskCompleteWaiter
    from types_aiobotocore_ec2.paginators import DescribeVolumesPaginator
else:
    EC2Client = object
    EC2ServiceResource = object
    BundleTaskCompleteWaiter = object
    DescribeVolumesPaginator = object

...

Explicit type annotations

Client annotations

WAFClient provides annotations for session.create_client("waf").

from aiobotocore.session import get_session

from types_aiobotocore_waf import WAFClient

session = get_session()
async with session.create_client("waf") as client:
    client: WAFClient
    # now client usage is checked by mypy and IDE should provide code completion

Paginators annotations

types_aiobotocore_waf.paginator module contains type annotations for all paginators.

from aiobotocore.session import get_session

from types_aiobotocore_waf import WAFClient
from types_aiobotocore_waf.paginator import (
    GetRateBasedRuleManagedKeysPaginator,
    ListActivatedRulesInRuleGroupPaginator,
    ListByteMatchSetsPaginator,
    ListGeoMatchSetsPaginator,
    ListIPSetsPaginator,
    ListLoggingConfigurationsPaginator,
    ListRateBasedRulesPaginator,
    ListRegexMatchSetsPaginator,
    ListRegexPatternSetsPaginator,
    ListRuleGroupsPaginator,
    ListRulesPaginator,
    ListSizeConstraintSetsPaginator,
    ListSqlInjectionMatchSetsPaginator,
    ListSubscribedRuleGroupsPaginator,
    ListWebACLsPaginator,
    ListXssMatchSetsPaginator,
)

session = get_session()
async with session.create_client("waf") as client:
    client: WAFClient

    # Explicit type annotations are optional here
    # Types should be correctly discovered by mypy and IDEs
    get_rate_based_rule_managed_keys_paginator: GetRateBasedRuleManagedKeysPaginator = (
        client.get_paginator("get_rate_based_rule_managed_keys")
    )
    list_activated_rules_in_rule_group_paginator: ListActivatedRulesInRuleGroupPaginator = (
        client.get_paginator("list_activated_rules_in_rule_group")
    )
    list_byte_match_sets_paginator: ListByteMatchSetsPaginator = client.get_paginator(
        "list_byte_match_sets"
    )
    list_geo_match_sets_paginator: ListGeoMatchSetsPaginator = client.get_paginator(
        "list_geo_match_sets"
    )
    list_ip_sets_paginator: ListIPSetsPaginator = client.get_paginator("list_ip_sets")
    list_logging_configurations_paginator: ListLoggingConfigurationsPaginator = (
        client.get_paginator("list_logging_configurations")
    )
    list_rate_based_rules_paginator: ListRateBasedRulesPaginator = client.get_paginator(
        "list_rate_based_rules"
    )
    list_regex_match_sets_paginator: ListRegexMatchSetsPaginator = client.get_paginator(
        "list_regex_match_sets"
    )
    list_regex_pattern_sets_paginator: ListRegexPatternSetsPaginator = client.get_paginator(
        "list_regex_pattern_sets"
    )
    list_rule_groups_paginator: ListRuleGroupsPaginator = client.get_paginator("list_rule_groups")
    list_rules_paginator: ListRulesPaginator = client.get_paginator("list_rules")
    list_size_constraint_sets_paginator: ListSizeConstraintSetsPaginator = client.get_paginator(
        "list_size_constraint_sets"
    )
    list_sql_injection_match_sets_paginator: ListSqlInjectionMatchSetsPaginator = (
        client.get_paginator("list_sql_injection_match_sets")
    )
    list_subscribed_rule_groups_paginator: ListSubscribedRuleGroupsPaginator = client.get_paginator(
        "list_subscribed_rule_groups"
    )
    list_web_acls_paginator: ListWebACLsPaginator = client.get_paginator("list_web_acls")
    list_xss_match_sets_paginator: ListXssMatchSetsPaginator = client.get_paginator(
        "list_xss_match_sets"
    )

Literals

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

Full list of WAF Literals can be found in docs.

from types_aiobotocore_waf.literals import ChangeActionType


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

Type definitions

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

Full list of WAF TypeDefs can be found in docs.

from types_aiobotocore_waf.type_defs import ExcludedRuleTypeDef


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

How it works

Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for aiobotocore updates. It delivers 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 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-aiobotocore-waf 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


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_waf-2.18.0.tar.gz (35.5 kB view details)

Uploaded Source

Built Distribution

types_aiobotocore_waf-2.18.0-py3-none-any.whl (41.0 kB view details)

Uploaded Python 3

File details

Details for the file types_aiobotocore_waf-2.18.0.tar.gz.

File metadata

File hashes

Hashes for types_aiobotocore_waf-2.18.0.tar.gz
Algorithm Hash digest
SHA256 e067c9b35129d29c4086aec1de0dcb04b3cbed682f7836e2c525277de44214bb
MD5 33a20c0d886653d828fb01378af842b7
BLAKE2b-256 3f03742f439bc8cc937b1f4140548d31501e56191379c36c038c2b6d241c1ae3

See more details on using hashes here.

File details

Details for the file types_aiobotocore_waf-2.18.0-py3-none-any.whl.

File metadata

File hashes

Hashes for types_aiobotocore_waf-2.18.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d110a34c0114a53ad116baffd82fdf3ddcad282c09f5fe910cb93f484d07a793
MD5 e381ff1ea70e6aa21fe5b7bd66adc1de
BLAKE2b-256 208287c1fb19af896610b72b5eb228061548d4714f01c6a83d615f541c1d4a44

See more details on using hashes here.

Supported by

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