Getting Started
Installation
pip install capo-kafkaconnect
Usage
from capo_kafkaconnect import AsyncKafkaConnectClient
async def main():
async with AsyncKafkaConnectClient() as kafka_connect:
# Example: call the create_connector operation
response = await kafka_connect.create_connector()
print(response["connector_arn"])
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_kafkaconnect import AsyncKafkaConnectClient
async def main():
async with AsyncKafkaConnectClient() as kafka_connect:
# Example: paginate over list_connector_operations
async for item in kafka_connect.iter_list_connector_operations():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_kafkaconnect import AsyncKafkaConnectClient
from capo_kafkaconnect.error import BadRequestException
async def main():
async with AsyncKafkaConnectClient() as kafka_connect:
try:
await kafka_connect.create_connector()
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 capo_kafkaconnect import AsyncKafkaConnectClient
async def main():
async with AsyncKafkaConnectClient() as kafka_connect:
# Default: 3 attempts for every operation
response = await kafka_connect.create_connector()
# Override per operation
response = await kafka_connect.create_connector(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await kafka_connect.create_connector(config_overrides={"retry_max_attempts": 1})
Metadata
Release files for capo-kafkaconnect 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_kafkaconnect-0.3.0.tar.gz | 90.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| capo_kafkaconnect-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 286.5 kB
Release files / capo_kafkaconnect-0.3.0.tar.gz
| Download URL | capo_kafkaconnect-0.3.0.tar.gz |
|---|---|
| Size | 90.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / capo_kafkaconnect-0.3.0-py3-none-any.whl
| Download URL | capo_kafkaconnect-0.3.0-py3-none-any.whl |
|---|---|
| Size | 195.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.12.22 {"installer":{"name":"uv","version":"0.12.22","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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