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Type annotations for boto3 Amplify 1.39.0 service generated with mypy-boto3-builder 8.11.0
Type annotations for boto3 Amplify 1.39.0 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 boto3-stubs page and in mypy-boto3-amplify 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==1.39.0' mypy-boto3-builder
boto3-stubs
AWS SDK.Amplify
service.Add
AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start
command.
Click Modify
and select boto3 common
and Amplify
.
Install boto3-stubs
for Amplify
service.
# install with boto3 type annotations
python -m pip install 'boto3-stubs[amplify]'
# 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[amplify]'
# standalone installation
python -m pip install mypy-boto3-amplify
python -m pip uninstall -y mypy-boto3-amplify
Pylance
as your Python Language Serverboto3-stubs[amplify]
in your environment:python -m pip install 'boto3-stubs[amplify]'
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
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 replaceboto3-stubs
with boto3-stubs-lite:
pip uninstall boto3-stubs
pip install boto3-stubs-lite
Install boto3-stubs[amplify]
in your environment:
python -m pip install 'boto3-stubs[amplify]'
Both type checking and code completion should now work.
boto3-stubs
with services you use in your environment:python -m pip install 'boto3-stubs[amplify]'
(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-stubs
Type checking should now work. No explicit type annotations required, write
your boto3
code as usual.
boto3-stubs[amplify]
with services you use in your environment:python -m pip install 'boto3-stubs[amplify]'
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 mypy
boto3-stubs[amplify]
in your environment:python -m pip install 'boto3-stubs[amplify]'
Type checking should now work. No explicit type annotations required, write
your boto3
code as usual.
pyright
: npm i -g pyright
boto3-stubs[amplify]
in your environment:python -m pip install 'boto3-stubs[amplify]'
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.
It is totally safe to use TYPE_CHECKING
flag in order to avoid
mypy-boto3-amplify
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
...
AmplifyClient
provides annotations for boto3.client("amplify")
.
from boto3.session import Session
from mypy_boto3_amplify import AmplifyClient
client: AmplifyClient = Session().client("amplify")
# now client usage is checked by mypy and IDE should provide code completion
mypy_boto3_amplify.paginator
module contains type annotations for all
paginators.
from boto3.session import Session
from mypy_boto3_amplify import AmplifyClient
from mypy_boto3_amplify.paginator import (
ListAppsPaginator,
ListBranchesPaginator,
ListDomainAssociationsPaginator,
ListJobsPaginator,
)
client: AmplifyClient = Session().client("amplify")
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
list_apps_paginator: ListAppsPaginator = client.get_paginator("list_apps")
list_branches_paginator: ListBranchesPaginator = client.get_paginator("list_branches")
list_domain_associations_paginator: ListDomainAssociationsPaginator = client.get_paginator(
"list_domain_associations"
)
list_jobs_paginator: ListJobsPaginator = client.get_paginator("list_jobs")
mypy_boto3_amplify.literals
module contains literals extracted from shapes
that can be used in user code for type checking.
Full list of Amplify
Literals can be found in
docs.
from mypy_boto3_amplify.literals import BuildComputeTypeType
def check_value(value: BuildComputeTypeType) -> bool: ...
mypy_boto3_amplify.type_defs
module contains structures and shapes assembled
to typed dictionaries and unions for additional type checking.
Full list of Amplify
TypeDefs can be found in
docs.
# TypedDict usage example
from mypy_boto3_amplify.type_defs import AutoBranchCreationConfigOutputTypeDef
def get_value() -> AutoBranchCreationConfigOutputTypeDef:
return {
"stage": ...,
}
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-amplify
version is the same as related boto3
version and follows
Python Packaging version specifiers.
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 Amplify 1.39.0 service generated with mypy-boto3-builder 8.11.0
We found that mypy-boto3-amplify 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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