feat : Add CLI Command for Uploading Resources to OpenML

[pankajbaid567]

Metadata

New Tests Added: Yes

Documentation Updated: No (CLI help text serves as documentation)

Change Log Entry: "Add CLI commands for uploading resources: openml upload dataset, openml upload flow, and openml upload run"

Details What does this PR implement/fix? This PR adds new CLI subcommands under openml upload to enable users to upload resources directly from the command line:

openml upload dataset <file_path> - Upload a dataset from ARFF or CSV file openml upload flow <file_path> - Upload a flow from a serialized model file openml upload run <run_file> - Upload a run from a run XML file Why is this change necessary? What is the problem it solves? Currently, users must write Python code to upload resources to OpenML. This creates friction for users who want to quickly share datasets, models, or experimental results. Adding CLI commands makes it easier to upload resources directly from the command line, especially useful for automation and scripting scenarios.

This directly addresses the ESoC 2025 goal of "Improving user experience in OpenML" by lowering the barrier for contribution.

How can I reproduce the issue this PR is solving and its solution? Before (requires Python code):

import openml
dataset = openml.datasets.create_dataset(
    name="My Dataset",
    description="Dataset description",
    data_file="data.arff"
)
dataset.publish()

After (CLI commands):

# Upload a dataset
openml upload dataset data.arff --name "My Dataset" --description "Dataset description"
# Upload a flow
openml upload flow model.pkl --name "My Model" --description "Model description"
# Upload a run from file
openml upload run run_results.xml

Implementation Details: Added upload functions in openml/cli.py: upload_dataset(), upload_flow(), and upload_run() Integrated into main CLI parser with proper argument handling Added comprehensive test suite in tests/test_openml/test_cli.py Uses existing upload functions from respective modules Requires API key to be configured All tests use mocked API calls Any other comments? All pre-commit hooks pass (ruff, mypy, formatting) No breaking changes Follows project code style and patterns Includes proper error handling for authentication Ready for review