types-boto3-ssm-contacts
Advanced tools
Type annotations for boto3 SSMContacts 1.36.0 service generated with mypy-boto3-builder 8.8.0
Type annotations for boto3 SSMContacts 1.36.0 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-boto3 page and in types-boto3-ssm-contacts docs.
See how it helps you find and fix potential bugs:
You can generate type annotations for boto3 package locally with
mypy_boto3_builder. Use
uv for build
isolation.
uvx --with 'boto3==1.36.0' mypy_boto3_builderboto3 AWS SDK.SSMContacts service.Add
AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start command.
Click Modify and select boto3 common and SSMContacts.
Install types-boto3 for SSMContacts service.
# install with boto3 type annotations
python -m pip install 'types-boto3[ssm-contacts]'
# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[ssm-contacts]'
# standalone installation
python -m pip install types-boto3-ssm-contacts
python -m pip uninstall -y types-boto3-ssm-contacts
Pylance as your Python Language Servertypes-boto3[ssm-contacts] in your environment:python -m pip install 'types-boto3[ssm-contacts]'
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 types-boto3-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 replacetypes-boto3with types-boto3-lite:
pip uninstall types-boto3
pip install types-boto3-lite
Install types-boto3[ssm-contacts] in your environment:
python -m pip install 'types-boto3[ssm-contacts]'
Both type checking and code completion should now work.
types-boto3 with services you use in your environment:python -m pip install 'types-boto3[ssm-contacts]'
(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"))
)
types-boto3Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
types-boto3[ssm-contacts] with services you use in your
environment:python -m pip install 'types-boto3[ssm-contacts]'
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 mypytypes-boto3[ssm-contacts] in your environment:python -m pip install 'types-boto3[ssm-contacts]'
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
pyright: npm i -g pyrighttypes-boto3[ssm-contacts] in your environment:python -m pip install 'types-boto3[ssm-contacts]'
Optionally, you can install types-boto3 to typings directory.
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
It is totally safe to use TYPE_CHECKING flag in order to avoid
types-boto3-ssm-contacts 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_boto3_ec2 import EC2Client, EC2ServiceResource
from types_boto3_ec2.waiters import BundleTaskCompleteWaiter
from types_boto3_ec2.paginators import DescribeVolumesPaginator
else:
EC2Client = object
EC2ServiceResource = object
BundleTaskCompleteWaiter = object
DescribeVolumesPaginator = object
...
SSMContactsClient provides annotations for boto3.client("ssm-contacts").
from boto3.session import Session
from types_boto3_ssm_contacts import SSMContactsClient
client: SSMContactsClient = Session().client("ssm-contacts")
# now client usage is checked by mypy and IDE should provide code completion
types_boto3_ssm_contacts.paginator module contains type annotations for all
paginators.
from boto3.session import Session
from types_boto3_ssm_contacts import SSMContactsClient
from types_boto3_ssm_contacts.paginator import (
ListContactChannelsPaginator,
ListContactsPaginator,
ListEngagementsPaginator,
ListPageReceiptsPaginator,
ListPageResolutionsPaginator,
ListPagesByContactPaginator,
ListPagesByEngagementPaginator,
ListPreviewRotationShiftsPaginator,
ListRotationOverridesPaginator,
ListRotationShiftsPaginator,
ListRotationsPaginator,
)
client: SSMContactsClient = Session().client("ssm-contacts")
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
list_contact_channels_paginator: ListContactChannelsPaginator = client.get_paginator(
"list_contact_channels"
)
list_contacts_paginator: ListContactsPaginator = client.get_paginator("list_contacts")
list_engagements_paginator: ListEngagementsPaginator = client.get_paginator("list_engagements")
list_page_receipts_paginator: ListPageReceiptsPaginator = client.get_paginator("list_page_receipts")
list_page_resolutions_paginator: ListPageResolutionsPaginator = client.get_paginator(
"list_page_resolutions"
)
list_pages_by_contact_paginator: ListPagesByContactPaginator = client.get_paginator(
"list_pages_by_contact"
)
list_pages_by_engagement_paginator: ListPagesByEngagementPaginator = client.get_paginator(
"list_pages_by_engagement"
)
list_preview_rotation_shifts_paginator: ListPreviewRotationShiftsPaginator = client.get_paginator(
"list_preview_rotation_shifts"
)
list_rotation_overrides_paginator: ListRotationOverridesPaginator = client.get_paginator(
"list_rotation_overrides"
)
list_rotation_shifts_paginator: ListRotationShiftsPaginator = client.get_paginator(
"list_rotation_shifts"
)
list_rotations_paginator: ListRotationsPaginator = client.get_paginator("list_rotations")
types_boto3_ssm_contacts.literals module contains literals extracted from
shapes that can be used in user code for type checking.
Full list of SSMContacts Literals can be found in
docs.
from types_boto3_ssm_contacts.literals import AcceptCodeValidationType
def check_value(value: AcceptCodeValidationType) -> bool: ...
types_boto3_ssm_contacts.type_defs module contains structures and shapes
assembled to typed dictionaries and unions for additional type checking.
Full list of SSMContacts TypeDefs can be found in
docs.
from types_boto3_ssm_contacts.type_defs import AcceptPageRequestRequestTypeDef
def get_value() -> AcceptPageRequestRequestTypeDef:
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.
types-boto3-ssm-contacts 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 SSMContacts 1.36.0 service generated with mypy-boto3-builder 8.8.0
We found that types-boto3-ssm-contacts 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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