capo-timestream-influxdb: typed, async Python SDK for AWS Timestream Influxdb

capo-timestream-influxdb is a typed Python SDK for AWS Timestream Influxdb. It has an async client, AsyncTimestreamInfluxDBClient, for asyncio and trio, and a sync client, TimestreamInfluxDBClient, with the same methods. Requests and responses are typed with TypedDicts, so your editor and type checker know every field.

It is part of capo, a community-driven alternative to boto3 and aioboto3, built on its own HTTP stack instead of botocore and generated from the official AWS Smithy models. Documentation: https://capo-sdk.dev/services/timestream-influxdb/

Installation

pip install capo-timestream-influxdb

Usage

from capo_timestream_influxdb import AsyncTimestreamInfluxDBClient


async def main():
    async with AsyncTimestreamInfluxDBClient() as timestream_influx_db:
        # Example: call the list_tags_for_resource operation
        response = await timestream_influx_db.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_timestream_influxdb import AsyncTimestreamInfluxDBClient


async def main():
    async with AsyncTimestreamInfluxDBClient() as timestream_influx_db:
        # Example: paginate over list_db_backups
        async for item in timestream_influx_db.iter_list_db_backups():
            print(item)

Error Handling

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

from capo_timestream_influxdb import AsyncTimestreamInfluxDBClient
from capo_timestream_influxdb.error import ResourceNotFoundException


async def main():
    async with AsyncTimestreamInfluxDBClient() as timestream_influx_db:
        try:
            await timestream_influx_db.list_tags_for_resource()
        except ResourceNotFoundException 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_timestream_influxdb import AsyncTimestreamInfluxDBClient


async def main():
    async with AsyncTimestreamInfluxDBClient() as timestream_influx_db:
        # Default: 3 attempts for every operation
        response = await timestream_influx_db.list_tags_for_resource()

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

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