Skip to main content

RCABench SDK

Project description

RCABench SDK

A Python SDK for interacting with RCABench services.

Installation

From PyPI

pip install rcabench

From Source

# Clone the repository
git clone https://github.com/your-username/rcabench.git
cd rcabench/sdk/python

# Install the package
pip install -e .

Building the Package

To build the package for distribution:

# Install build dependencies
pip install build

# Build the package
python -m build

# This will create distribution files in the dist/ directory

Usage

from rcabench import RCABenchSDK

# Initialize the SDK
sdk = RCABenchSDK("http://localhost:8082")

# Get available algorithms
algorithms = sdk.algorithm.list()
print(algorithms)

# Submit an injection task
injection_payload = [{
    "duration": 1,
    "faultType": 5,
    "injectNamespace": "ts",
    "injectPod": "ts-preserve-service",
    "spec": {"CPULoad": 1, "CPUWorker": 3},
    "benchmark": "clickhouse",
}]
response = sdk.injection.execute(injection_payload)
print(response)

# Run an algorithm
algorithm_payload = [{
    "benchmark": "clickhouse",
    "algorithm": "e-diagnose", 
    "dataset": "dataset-name",
}]
response = sdk.algorithm.execute(algorithm_payload)
print(response)

API Reference

The SDK provides the following main components:

  • RCABenchSDK: The main entry point for the SDK
    • algorithm: For interacting with algorithm endpoints
    • evaluation: For interacting with evaluation endpoints
    • injection: For interacting with injection endpoints

For detailed API documentation, please refer to the code docstrings.

Requirements

  • Python 3.8 or higher
  • requests and aiohttp libraries

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rcabench-1.1.28.tar.gz (257.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rcabench-1.1.28-py3-none-any.whl (692.6 kB view details)

Uploaded Python 3

File details

Details for the file rcabench-1.1.28.tar.gz.

File metadata

  • Download URL: rcabench-1.1.28.tar.gz
  • Upload date:
  • Size: 257.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.5

File hashes

Hashes for rcabench-1.1.28.tar.gz
Algorithm Hash digest
SHA256 c92657ba13362b530ee8588ee07fce99c74f840101a80163b7fcc019838f0929
MD5 3d984845e3bccf2b68411dfa42832065
BLAKE2b-256 c2b9fa18d09f512530659861190442af9ee02daee03638fc3666698847ecc557

See more details on using hashes here.

File details

Details for the file rcabench-1.1.28-py3-none-any.whl.

File metadata

  • Download URL: rcabench-1.1.28-py3-none-any.whl
  • Upload date:
  • Size: 692.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.5

File hashes

Hashes for rcabench-1.1.28-py3-none-any.whl
Algorithm Hash digest
SHA256 61c23309a28ebcd776f0cae2a13feccfbb72a658d0598c495969b070d40ce31e
MD5 c95256383c695f49b3b84142d4863390
BLAKE2b-256 9be89e82dec5b7b3bb3331081e49b34e786b5a36ef3890a02de8693cc62aed08

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page