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 SDKalgorithm: For interacting with algorithm endpointsevaluation: For interacting with evaluation endpointsinjection: For interacting with injection endpoints
For detailed API documentation, please refer to the code docstrings.
Requirements
- Python 3.8 or higher
requestsandaiohttplibraries
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-1.1.15.tar.gz
(247.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
rcabench-1.1.15-py3-none-any.whl
(649.8 kB
view details)
File details
Details for the file rcabench-1.1.15.tar.gz.
File metadata
- Download URL: rcabench-1.1.15.tar.gz
- Upload date:
- Size: 247.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce133a6ec79db645ffa010b7f1ba793814d6e3242a5c59cf2ec4e72273488fad
|
|
| MD5 |
cd279d56e34f65ee465080e2e2b6d723
|
|
| BLAKE2b-256 |
9e357700c803bee284b28551d0e506131d1d08ad1b4ad18bf7fb9d86ff8989fe
|
File details
Details for the file rcabench-1.1.15-py3-none-any.whl.
File metadata
- Download URL: rcabench-1.1.15-py3-none-any.whl
- Upload date:
- Size: 649.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fac494358a120bbc5f11cd266cd7712f87366577fc7f794399460d61ceb2a872
|
|
| MD5 |
a3712b94350b887a711d0ecf5f842b27
|
|
| BLAKE2b-256 |
d08049844257d4cab778b961497aa4db9df07331d005179308e37a4c214b884c
|