Skip to content

Examples#

Index > S3 > Examples

Auto-generated documentation for S3 type annotations stubs module mypy-boto3-s3.

Client#

Implicit type annotations#

Can be used with boto3-stubs[s3] package installed.

Write your S3 code as usual, type checking and code completion should work out of the box.

# S3Client usage example

from boto3.session import Session


session = Session()

client = session.client("s3")  # (1)
result = client.abort_multipart_upload()  # (2)
  1. client: S3Client
  2. result: AbortMultipartUploadOutputTypeDef 
# ListBucketsPaginator usage example

from boto3.session import Session


session = Session()
client = session.client("s3")  # (1)

paginator = client.get_paginator("list_buckets")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)
  1. client: S3Client
  2. paginator: ListBucketsPaginator
  3. item: ListBucketsOutputTypeDef 
# BucketExistsWaiter usage example

from boto3.session import Session


session = Session()
client = session.client("s3")  # (1)

waiter = client.get_waiter("bucket_exists")  # (2)
waiter.wait()
  1. client: S3Client
  2. waiter: BucketExistsWaiter

Explicit type annotations#

With boto3-stubs-lite[s3] or a standalone mypy_boto3_s3 package, you have to explicitly specify client: S3Client type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# S3Client usage example with type annotations

from boto3.session import Session

from mypy_boto3_s3.client import S3Client
from mypy_boto3_s3.type_defs import AbortMultipartUploadOutputTypeDef
from mypy_boto3_s3.type_defs import AbortMultipartUploadRequestRequestTypeDef


session = Session()

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

kwargs: AbortMultipartUploadRequestRequestTypeDef = {...}
result: AbortMultipartUploadOutputTypeDef = client.abort_multipart_upload(**kwargs)
# ListBucketsPaginator usage example with type annotations

from boto3.session import Session

from mypy_boto3_s3.client import S3Client
from mypy_boto3_s3.paginator import ListBucketsPaginator
from mypy_boto3_s3.type_defs import ListBucketsOutputTypeDef


session = Session()
client: S3Client = session.client("s3")

paginator: ListBucketsPaginator = client.get_paginator("list_buckets")
for item in paginator.paginate(...):
    item: ListBucketsOutputTypeDef
    print(item)
# BucketExistsWaiter usage example with type annotations

from boto3.session import Session

from mypy_boto3_s3.client import S3Client
from mypy_boto3_s3.waiter import BucketExistsWaiter

session = Session()
client: S3Client = session.client("s3")

waiter: BucketExistsWaiter = client.get_waiter("bucket_exists")
waiter.wait()

Service Resource#

Implicit type annotations#

Can be used with boto3-stubs[s3] package installed.

# S3ServiceResource usage example

from boto3.session import Session


session = Session()

resource = session.resource("s3")  # (1)
result = resource.get_available_subresources()  # (2)
  1. resource: S3ServiceResource
  2. result: 
# ServiceResourceBucketsCollection usage example

from boto3.session import Session


session = Session()
resource = session.resource("s3")  # (1)

collection = resource.buckets  # (2)
for item in collection:
    print(item)  # (3)
  1. resource: S3ServiceResource
  2. collection: S3ServiceResource
  3. item: Bucket

Explicit type annotations#

With boto3-stubs-lite[s3] or a standalone mypy_boto3_s3 package, you have to explicitly specify resource: S3ServiceResource type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# S3ServiceResource usage example with type annotations

from boto3.session import Session

from mypy_boto3_s3.service_resource import S3ServiceResource
from mypy_boto3_s3.service_resource import get_available_subresources


session = Session()

resource: S3ServiceResource = session.resource("s3")
result: get_available_subresources = resource.get_available_subresources()
# ServiceResourceBucketsCollection usage example with type annotations

from boto3.session import Session

from mypy_boto3_s3.service_resource import S3ServiceResource
from mypy_boto3_s3.service_resource import ServiceResourceBucketsCollection
from mypy_boto3_s3.service_resource import Bucket


session = Session()

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

collection: ServiceResourceBucketsCollection = resource.buckets
for item in collection:
    item: Bucket
    print(item)