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types-aiobotocore-s3tables
Advanced tools
Type annotations for aiobotocore S3Tables 2.23.2 service generated with mypy-boto3-builder 8.11.0
Type annotations for aiobotocore S3Tables 2.23.2 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.
Generated with mypy-boto3-builder 8.11.0.
More information can be found on types-aiobotocore page and in types-aiobotocore-s3tables docs.
See how it helps you find and fix potential bugs:
You can generate type annotations for aiobotocore
package locally with
mypy-boto3-builder
. Use
uv for build
isolation.
uvx --with 'aiobotocore==2.23.2' mypy-boto3-builder
aiobotocore
AWS SDK.S3Tables
service.Install types-aiobotocore
for S3Tables
service.
# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[s3tables]'
# 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[s3tables]'
# standalone installation
python -m pip install types-aiobotocore-s3tables
python -m pip uninstall -y types-aiobotocore-s3tables
Pylance
as your Python Language Servertypes-aiobotocore[s3tables]
in your environment:python -m pip install 'types-aiobotocore[s3tables]'
Both type checking and code completion should now work. No explicit type
annotations required, write your aiobotocore
code as usual.
⚠️ 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 replacetypes-aiobotocore
with types-aiobotocore-lite:
pip uninstall types-aiobotocore
pip install types-aiobotocore-lite
Install types-aiobotocore[s3tables]
in your environment:
python -m pip install 'types-aiobotocore[s3tables]'
Both type checking and code completion should now work.
types-aiobotocore
with services you use in your environment:python -m pip install 'types-aiobotocore[s3tables]'
(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-aiobotocore
Type checking should now work. No explicit type annotations required, write
your aiobotocore
code as usual.
types-aiobotocore[s3tables]
with services you use in your
environment:python -m pip install 'types-aiobotocore[s3tables]'
Type checking should now work. No explicit type annotations required, write
your aiobotocore
code as usual.
Not tested, but as long as your IDE supports mypy
or pyright
, everything
should work.
mypy
: python -m pip install mypy
types-aiobotocore[s3tables]
in your environment:python -m pip install 'types-aiobotocore[s3tables]'
Type checking should now work. No explicit type annotations required, write
your aiobotocore
code as usual.
pyright
: npm i -g pyright
types-aiobotocore[s3tables]
in your environment:python -m pip install 'types-aiobotocore[s3tables]'
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.
It is totally safe to use TYPE_CHECKING
flag in order to avoid
types-aiobotocore-s3tables
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
...
S3TablesClient
provides annotations for session.create_client("s3tables")
.
from aiobotocore.session import get_session
from types_aiobotocore_s3tables import S3TablesClient
session = get_session()
async with session.create_client("s3tables") as client:
client: S3TablesClient
# now client usage is checked by mypy and IDE should provide code completion
types_aiobotocore_s3tables.paginator
module contains type annotations for all
paginators.
from aiobotocore.session import get_session
from types_aiobotocore_s3tables import S3TablesClient
from types_aiobotocore_s3tables.paginator import (
ListNamespacesPaginator,
ListTableBucketsPaginator,
ListTablesPaginator,
)
session = get_session()
async with session.create_client("s3tables") as client:
client: S3TablesClient
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
list_namespaces_paginator: ListNamespacesPaginator = client.get_paginator("list_namespaces")
list_table_buckets_paginator: ListTableBucketsPaginator = client.get_paginator(
"list_table_buckets"
)
list_tables_paginator: ListTablesPaginator = client.get_paginator("list_tables")
types_aiobotocore_s3tables.literals
module contains literals extracted from
shapes that can be used in user code for type checking.
Full list of S3Tables
Literals can be found in
docs.
from types_aiobotocore_s3tables.literals import IcebergCompactionStrategyType
def check_value(value: IcebergCompactionStrategyType) -> bool: ...
types_aiobotocore_s3tables.type_defs
module contains structures and shapes
assembled to typed dictionaries and unions for additional type checking.
Full list of S3Tables
TypeDefs can be found in
docs.
# TypedDict usage example
from types_aiobotocore_s3tables.type_defs import CreateNamespaceRequestTypeDef
def get_value() -> CreateNamespaceRequestTypeDef:
return {
"tableBucketARN": ...,
}
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:
aiobotocore
services are covered.aiobotocore
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-aiobotocore-s3tables
version is the same as related aiobotocore
version and follows
Python Packaging version specifiers.
All services type annotations can be found in aiobotocore docs
This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.
FAQs
Type annotations for aiobotocore S3Tables 2.23.2 service generated with mypy-boto3-builder 8.11.0
We found that types-aiobotocore-s3tables 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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