mypy-boto3-s3 1.14.0.1

Type annotations for boto3.S3 1.14.0 service, generated by mypy-boto3-buider 2.1.0

mypy-boto3-s3

Type annotations for boto3.S3 1.14.0 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.1.0.

More information can be found on boto3-stubs page.

How to install

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for S3 service.

python -m pip install boto3-stubs[s3]

How to use

Client annotations

S3Client provides annotations for boto3.client("s3").

import boto3

from mypy_boto3_s3 import S3Client

client: S3Client = boto3.client("s3")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: S3Client = session.client("s3")

Paginators annotations

mypy_boto3_s3.paginator module contains type annotations for all paginators.

from mypy_boto3_s3 import S3Client
from mypy_boto3_s3.paginator import (
    ListMultipartUploadsPaginator,
    ListObjectVersionsPaginator,
    ListObjectsPaginator,
    ListObjectsV2Paginator,
    ListPartsPaginator,
)

client: S3Client = boto3.client("s3")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
list_multipart_uploads_paginator: ListMultipartUploadsPaginator = client.get_paginator("list_multipart_uploads")
list_object_versions_paginator: ListObjectVersionsPaginator = client.get_paginator("list_object_versions")
list_objects_paginator: ListObjectsPaginator = client.get_paginator("list_objects")
list_objects_v2_paginator: ListObjectsV2Paginator = client.get_paginator("list_objects_v2")
list_parts_paginator: ListPartsPaginator = client.get_paginator("list_parts")

Waiters annotations

mypy_boto3_s3.waiter module contains type annotations for all waiters.

from mypy_boto3_s3 import S3Client
from mypy_boto3_s3.waiter import (
    BucketExistsWaiter,
    BucketNotExistsWaiter,
    ObjectExistsWaiter,
    ObjectNotExistsWaiter,
)

client: S3Client = boto3.client("s3")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
bucket_exists_waiter: BucketExistsWaiter = client.get_waiter("bucket_exists")
bucket_not_exists_waiter: BucketNotExistsWaiter = client.get_waiter("bucket_not_exists")
object_exists_waiter: ObjectExistsWaiter = client.get_waiter("object_exists")
object_not_exists_waiter: ObjectNotExistsWaiter = client.get_waiter("object_not_exists")

Service Resource annotations

S3ServiceResource provides annotations for boto3.resource("s3").

from mypy_boto3_s3 import S3ServiceResource

resource: S3ServiceResource = boto3.resource("s3")

# now resource usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_resource: S3ServiceResource = session.resource("s3")

Other resources annotations

mypy_boto3_s3.service_resource module contains type annotations for all resources.

from mypy_boto3_s3 import S3ServiceResource
from mypy_boto3_s3.service_resource import (
    Bucket,
    BucketAcl,
    BucketCors,
    BucketLifecycle,
    BucketLifecycleConfiguration,
    BucketLogging,
    BucketNotification,
    BucketPolicy,
    BucketRequestPayment,
    BucketTagging,
    BucketVersioning,
    BucketWebsite,
    MultipartUpload,
    MultipartUploadPart,
    Object,
    ObjectAcl,
    ObjectSummary,
    ObjectVersion,
)

resource: S3ServiceResource = boto3.resource("s3")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
my_bucket: Bucket = resource.Bucket(...)
my_bucket_acl: BucketAcl = resource.BucketAcl(...)
my_bucket_cors: BucketCors = resource.BucketCors(...)
my_bucket_lifecycle: BucketLifecycle = resource.BucketLifecycle(...)
my_bucket_lifecycle_configuration: BucketLifecycleConfiguration = resource.BucketLifecycleConfiguration(...)
my_bucket_logging: BucketLogging = resource.BucketLogging(...)
my_bucket_notification: BucketNotification = resource.BucketNotification(...)
my_bucket_policy: BucketPolicy = resource.BucketPolicy(...)
my_bucket_request_payment: BucketRequestPayment = resource.BucketRequestPayment(...)
my_bucket_tagging: BucketTagging = resource.BucketTagging(...)
my_bucket_versioning: BucketVersioning = resource.BucketVersioning(...)
my_bucket_website: BucketWebsite = resource.BucketWebsite(...)
my_multipart_upload: MultipartUpload = resource.MultipartUpload(...)
my_multipart_upload_part: MultipartUploadPart = resource.MultipartUploadPart(...)
my_object: Object = resource.Object(...)
my_object_acl: ObjectAcl = resource.ObjectAcl(...)
my_object_summary: ObjectSummary = resource.ObjectSummary(...)
my_object_version: ObjectVersion = resource.ObjectVersion(...)

Collections annotations

mypy_boto3_s3.service_resource module contains type annotations for all S3ServiceResource collections.

from mypy_boto3_s3 import S3ServiceResource
from mypy_boto3_s3.service_resource import (
    ServiceResourceBucketsCollection,
)

resource: S3ServiceResource = boto3.resource("s3")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
buckets: s3_resources.ServiceResourceBucketsCollection = resource.buckets

Typed dictionations

mypy_boto3_s3.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

from mypy_boto3_s3.type_defs import AbortIncompleteMultipartUploadTypeDef, ...

def get_structure() -> AbortIncompleteMultipartUploadTypeDef:
    return {
      ...
    }

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_s3 and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

• mypy supports function overloads as expected
• PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
• VSCode does not currently support function overloads, use explicit type annotations

import boto3

# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("s3")
resource = boto3.resource("s3")

session_client = boto3.Session().client("s3")
session_resource = boto3.Session().resource("s3")