Examples#
Auto-generated documentation for Glacier type annotations stubs module types-aiobotocore-glacier.
Client#
Implicit type annotations#
Can be used with types-aioboto3[glacier]
package installed.
Write your Glacier
code as usual,
type checking and code completion should work out of the box.
# GlacierClient usage example
from aioboto3.session import Session
session = Session()
async with session.client("glacier") as client: # (1)
result = await client.abort_multipart_upload() # (2)
- client: GlacierClient
- result: EmptyResponseMetadataTypeDef
# ListJobsPaginator usage example
from aioboto3.session import Session
session = Session()
async with session.client("glacier") as client: # (1)
paginator = client.get_paginator("list_jobs") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: GlacierClient
- paginator: ListJobsPaginator
- item: ListJobsOutputTypeDef
# VaultExistsWaiter usage example
from aioboto3.session import Session
session = Session()
async with session.client("glacier") as client: # (1)
waiter = client.get_waiter("vault_exists") # (2)
await waiter.wait()
- client: GlacierClient
- waiter: VaultExistsWaiter
Explicit type annotations#
With types-aioboto3-lite[glacier]
or a standalone types_aiobotocore_glacier
package, you have to explicitly specify
client: GlacierClient
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.
# GlacierClient usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_glacier.client import GlacierClient
from types_aiobotocore_glacier.type_defs import EmptyResponseMetadataTypeDef
from types_aiobotocore_glacier.type_defs import AbortMultipartUploadInputRequestTypeDef
session = Session()
client: GlacierClient
async with session.client("glacier") as client: # (1)
kwargs: AbortMultipartUploadInputRequestTypeDef = {...} # (2)
result: EmptyResponseMetadataTypeDef = await client.abort_multipart_upload(**kwargs) # (3)
- client: GlacierClient
- kwargs: AbortMultipartUploadInputRequestTypeDef
- result: EmptyResponseMetadataTypeDef
# ListJobsPaginator usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_glacier.client import GlacierClient
from types_aiobotocore_glacier.paginator import ListJobsPaginator
from types_aiobotocore_glacier.type_defs import ListJobsOutputTypeDef
session = Session()
client: GlacierClient
async with session.client("glacier") as client: # (1)
paginator: ListJobsPaginator = client.get_paginator("list_jobs") # (2)
async for item in paginator.paginate(...):
item: ListJobsOutputTypeDef
print(item) # (3)
- client: GlacierClient
- paginator: ListJobsPaginator
- item: ListJobsOutputTypeDef
# VaultExistsWaiter usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_glacier.client import GlacierClient
from types_aiobotocore_glacier.waiter import VaultExistsWaiter
session = Session()
async with session.client("glacier") as client: # (1)
waiter = client.get_waiter("vault_exists") # (2)
await waiter.wait()
- client: GlacierClient
- waiter: VaultExistsWaiter
Service Resource#
Implicit type annotations#
Can be used with types-aioboto3[glacier]
package installed.
# GlacierServiceResource usage example
from aioboto3.session import Session
session = Session()
async with session.resource("glacier") as resource: # (1)
result = resource.Account() # (2)
- resource: GlacierServiceResource
- result:
# ServiceResourceVaultsCollection usage example
from aioboto3.session import Session
session = Session()
resource = session.resource("glacier") # (1)
collection = resource.vaults # (2)
for item in collection:
print(item) # (3)
- resource: GlacierServiceResource
- collection: GlacierServiceResource
- item: Vault
Explicit type annotations#
With types-aioboto3-lite[glacier]
or a standalone types_aiobotocore_glacier
package, you have to explicitly specify
resource: GlacierServiceResource
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.
# GlacierServiceResource usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_glacier.service_resource import GlacierServiceResource
from types_aiobotocore_glacier.service_resource import Account
session = Session()
resource: GlacierServiceResource
async with session.resource("glacier") as resource: # (1)
result: Account = resource.Account() # (2)
- resource: GlacierServiceResource
- result:
# ServiceResourceVaultsCollection usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_glacier.service_resource import GlacierServiceResource
from types_aiobotocore_glacier.service_resource import ServiceResourceVaultsCollection
from types_aiobotocore_glacier.service_resource import Vault
session = Session()
resource: GlacierServiceResource
async with session.resource("glacier") as resource: # (1)
collection: ServiceResourceVaultsCollection = resource.vaults # (2)
for item in collection:
item: Vault
print(item) # (3)
- resource: GlacierServiceResource
- collection: GlacierServiceResource
- item: Vault