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Python SDK for Cloud9.

Project description

Getting Started

Installation

pip install aws-sdk-cloud9

Usage

from aws_sdk_cloud9 import AsyncCloud9Client


async def main():
    async with AsyncCloud9Client() as s3:
        # Example: call the create_environment_ec2 operation
        response = await s3.create_environment_ec2()
        print(response["environment_id"])

Error Handling

The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.

from aws_sdk_cloud9 import AsyncCloud9Client
from aws_sdk_cloud9.error import BadRequestException


async def main():
    async with AsyncCloud9Client() as s3:
        try:
            await s3.create_environment_ec2()
        except BadRequestException 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 aws_sdk_cloud9 import AsyncCloud9Client


async def main():
    async with AsyncCloud9Client() as s3:
        # Default: 3 attempts for every operation
        response = await s3.create_environment_ec2()

        # Override per operation
        response = await s3.create_environment_ec2(config_overrides={"retry_max_attempts": 5})

        # Disable retries for this call
        response = await s3.create_environment_ec2(config_overrides={"retry_max_attempts": 1})

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