Getting Started
Installation
pip install capo-glacier
Usage
from capo_glacier import AsyncGlacierClient
async def main():
async with AsyncGlacierClient() as glacier:
# Example: call the abort_multipart_upload operation
response = await glacier.abort_multipart_upload()
print(response)
Pagination
Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.
from capo_glacier import AsyncGlacierClient
async def main():
async with AsyncGlacierClient() as glacier:
# Example: paginate over list_jobs
async for item in glacier.iter_list_jobs():
print(item)
Streaming Request
Some operations accept a streaming request body. Pass an async iterator of bytes chunks, or the whole body as bytes, for the streaming parameter.
A plain iterator can be sent only once, so if a request fails after its body was transmitted the operation is not retried. To get retries for streamed uploads, pass a Body instead: it wraps a source that can be reopened, and every attempt streams a fresh copy. Body.from_path (sync client) and Body.async_from_path (async client, needs anyio) stream a file from disk; Body(opener) takes any context manager that yields a (stream, length) pair.
from capo_glacier import AsyncGlacierClient, Body
async def main():
async with AsyncGlacierClient() as glacier:
# Example: call upload_archive with a streaming request body
async def chunks():
yield b'Hello, World!'
response = await glacier.upload_archive(body=chunks())
print(response)
# Or pass the whole body as bytes
response = await glacier.upload_archive(body=b'Hello, World!')
print(response)
# Or stream a file with Body: the file is reopened on every retry
# and Content-Length is taken from its size, so no content_length needed
response = await glacier.upload_archive(body=Body.async_from_path("hello.txt"))
print(response)
Streaming Response
Some operations return a streaming response body. Use the operation as an async context manager and iterate over the response field to read chunks.
from capo_glacier import AsyncGlacierClient
async def main():
async with AsyncGlacierClient() as glacier:
# Example: call get_job_output and read the streaming response
async with glacier.get_job_output() as response:
async for chunk in response["body"]:
print(chunk)
Waiters
Waiters poll an operation until a resource reaches a desired state. If the operation supports waiters it will have a wait_until_ prefixed method.
from capo_glacier import AsyncGlacierClient
async def main():
async with AsyncGlacierClient() as glacier:
# Example: wait for vault_exists
await glacier.wait_until_vault_exists(max_wait_time=300)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_glacier import AsyncGlacierClient
from capo_glacier.error import InvalidParameterValueException
async def main():
async with AsyncGlacierClient() as glacier:
try:
await glacier.abort_multipart_upload()
except InvalidParameterValueException as e:
print(f"Error: {e}")
print(e.data) # additional error data
Retrying
The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.
The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.
from capo_glacier import AsyncGlacierClient
async def main():
async with AsyncGlacierClient() as glacier:
# Default: 3 attempts for every operation
response = await glacier.abort_multipart_upload()
# Override per operation
response = await glacier.abort_multipart_upload(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await glacier.abort_multipart_upload(config_overrides={"retry_max_attempts": 1})
Metadata
Release files for capo-glacier 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| capo_glacier-0.3.0.tar.gz | 120.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| capo_glacier-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 354.4 kB
Release files / capo_glacier-0.3.0.tar.gz
| Download URL | capo_glacier-0.3.0.tar.gz |
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| Size | 120.6 kB |
| Tags | Source |
|
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Release files / capo_glacier-0.3.0-py3-none-any.whl
| Download URL | capo_glacier-0.3.0-py3-none-any.whl |
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| Tags | Python 3 |
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