Getting Started
Installation
pip install capo-scheduler
Usage
from capo_scheduler import AsyncSchedulerClient
async def main():
async with AsyncSchedulerClient() as scheduler:
# Example: call the list_tags_for_resource operation
response = await scheduler.list_tags_for_resource()
print(response["tags"])
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_scheduler import AsyncSchedulerClient
async def main():
async with AsyncSchedulerClient() as scheduler:
# Example: paginate over list_schedules
async for item in scheduler.iter_list_schedules():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_scheduler import AsyncSchedulerClient
from capo_scheduler.error import InternalServerException
async def main():
async with AsyncSchedulerClient() as scheduler:
try:
await scheduler.list_tags_for_resource()
except InternalServerException 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_scheduler import AsyncSchedulerClient
async def main():
async with AsyncSchedulerClient() as scheduler:
# Default: 3 attempts for every operation
response = await scheduler.list_tags_for_resource()
# Override per operation
response = await scheduler.list_tags_for_resource(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await scheduler.list_tags_for_resource(config_overrides={"retry_max_attempts": 1})
1 maintainer
Metadata
1 maintainer
Release files for capo-scheduler 0.18.0
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