Type annotations for boto3 Chatbot 1.35.68 service generated with mypy-boto3-builder 8.3.1
Type annotations for boto3 Chatbot 1.35.68 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.
Generated by mypy-boto3-builder 8.3.1.
More information can be found on boto3-stubs page and in mypy-boto3-chatbot docs.
See how it helps you find and fix potential bugs:
Add
AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start command.
Click Modify and select boto3 common and Chatbot.
Install boto3-stubs for Chatbot service.
# install with boto3 type annotations
python -m pip install 'boto3-stubs[chatbot]'
# 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[chatbot]'
# standalone installation
python -m pip install mypy-boto3-chatbot
python -m pip uninstall -y mypy-boto3-chatbot
Pylance as your Python Language Serverboto3-stubs[chatbot] in your environment:python -m pip install 'boto3-stubs[chatbot]'
Both type checking and code completion should now work. No explicit type
annotations required, write your boto3 code as usual.
⚠️ Due to slow PyCharm performance on
Literaloverloads (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
PyCharmtype checker and use mypy or pyright instead.
⚠️ To continue using
PyCharmtype checker, you can try to replaceboto3-stubswith boto3-stubs-lite:
pip uninstall boto3-stubs
pip install boto3-stubs-lite
Install boto3-stubs[chatbot] in your environment:
python -m pip install 'boto3-stubs[chatbot]'
Both type checking and code completion should now work.
boto3-stubs with services you use in your environment:python -m pip install 'boto3-stubs[chatbot]'
(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"))
)
boto3-stubsType checking should now work. No explicit type annotations required, write
your boto3 code as usual.
boto3-stubs[chatbot] with services you use in your environment:python -m pip install 'boto3-stubs[chatbot]'
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
Not tested, but as long as your IDE supports mypy or pyright, everything
should work.
mypy: python -m pip install mypyboto3-stubs[chatbot] in your environment:python -m pip install 'boto3-stubs[chatbot]'
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
pyright: npm i -g pyrightboto3-stubs[chatbot] in your environment:python -m pip install 'boto3-stubs[chatbot]'
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.
ChatbotClient provides annotations for boto3.client("chatbot").
from boto3.session import Session
from mypy_boto3_chatbot import ChatbotClient
client: ChatbotClient = Session().client("chatbot")
# now client usage is checked by mypy and IDE should provide code completion
mypy_boto3_chatbot.paginator module contains type annotations for all
paginators.
from boto3.session import Session
from mypy_boto3_chatbot import ChatbotClient
from mypy_boto3_chatbot.paginator import (
DescribeChimeWebhookConfigurationsPaginator,
DescribeSlackChannelConfigurationsPaginator,
DescribeSlackUserIdentitiesPaginator,
DescribeSlackWorkspacesPaginator,
ListAssociationsPaginator,
ListCustomActionsPaginator,
ListMicrosoftTeamsChannelConfigurationsPaginator,
ListMicrosoftTeamsConfiguredTeamsPaginator,
ListMicrosoftTeamsUserIdentitiesPaginator,
)
client: ChatbotClient = Session().client("chatbot")
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
describe_chime_webhook_configurations_paginator: DescribeChimeWebhookConfigurationsPaginator = (
client.get_paginator("describe_chime_webhook_configurations")
)
describe_slack_channel_configurations_paginator: DescribeSlackChannelConfigurationsPaginator = (
client.get_paginator("describe_slack_channel_configurations")
)
describe_slack_user_identities_paginator: DescribeSlackUserIdentitiesPaginator = (
client.get_paginator("describe_slack_user_identities")
)
describe_slack_workspaces_paginator: DescribeSlackWorkspacesPaginator = client.get_paginator(
"describe_slack_workspaces"
)
list_associations_paginator: ListAssociationsPaginator = client.get_paginator("list_associations")
list_custom_actions_paginator: ListCustomActionsPaginator = client.get_paginator(
"list_custom_actions"
)
list_microsoft_teams_channel_configurations_paginator: ListMicrosoftTeamsChannelConfigurationsPaginator = client.get_paginator(
"list_microsoft_teams_channel_configurations"
)
list_microsoft_teams_configured_teams_paginator: ListMicrosoftTeamsConfiguredTeamsPaginator = (
client.get_paginator("list_microsoft_teams_configured_teams")
)
list_microsoft_teams_user_identities_paginator: ListMicrosoftTeamsUserIdentitiesPaginator = (
client.get_paginator("list_microsoft_teams_user_identities")
)
mypy_boto3_chatbot.literals module contains literals extracted from shapes
that can be used in user code for type checking.
Full list of Chatbot Literals can be found in
docs.
from mypy_boto3_chatbot.literals import CustomActionAttachmentCriteriaOperatorType
def check_value(value: CustomActionAttachmentCriteriaOperatorType) -> bool: ...
mypy_boto3_chatbot.type_defs module contains structures and shapes assembled
to typed dictionaries and unions for additional type checking.
Full list of Chatbot TypeDefs can be found in
docs.
from mypy_boto3_chatbot.type_defs import AccountPreferencesTypeDef
def get_value() -> AccountPreferencesTypeDef:
return {...}
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:
boto3 services are covered.boto3 service gets valid type
annotations extracted from botocore schemas.boto3, botocore, aiobotocore and aioboto3
librariesmypy, pyright, VSCode, PyCharm, Sublime Text and Emacs
compatibilityClient, ServiceResource, Resource, Waiter Paginator type
annotations for each serviceTypeDefs for each serviceLiterals for each serviceboto3.client and boto3.resource callssession.client and session.resource callsclient.get_waiter and client.get_paginator
callsServiceResource and Resource collectionsaiobotocore.Session.create_client callsBuilder changelog can be found in Releases.
mypy-boto3-chatbot version is the same as related boto3 version and follows
PEP 440 format.
All services type annotations can be found in boto3 docs
This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.
FAQs
Type annotations for boto3 Chatbot 1.35.68 service generated with mypy-boto3-builder 8.3.1
We found that mypy-boto3-chatbot demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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