IBM Storage Scale

[amshamah419]

Status
[x] In Progress
[ ] Ready
[ ] In Hold - (Reason for hold)

Related Issues
fixes: CIAC-13741

Description
This pull request introduces a new, high-performance integration for IBM Storage Scale. The integration collects Command Line Interface (CLI) audit log records using a concurrent, asynchronous fetching model to ensure efficient data ingestion from large-scale environments. It includes robust error handling, comprehensive unit tests, and detailed documentation for setup and use.

Must have
[x] Tests
[x] Documentation

[Copilot]

Pull Request Overview

This PR adds a new high-performance integration for IBM Storage Scale that ingests CLI audit logs using an asynchronous, concurrent fetching model. Key changes include:

• Pack metadata, README, and detailed integration documentation
• Implementation of an async client with producer-consumer logic
• Comprehensive unit tests covering connectivity, multi-page fetch, error handling, and command routing

Reviewed Changes

Copilot reviewed 8 out of 12 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
Packs/IBMStorageScale/pack_metadata.json	Initial pack metadata definition
Packs/IBMStorageScale/README.md	Root pack README with integration summary
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/command_examples.txt	Example command invocation
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/README.md	Detailed setup and usage instructions
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector_test.py	Unit tests for commands and client logic
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector_description.md	Marketplace description
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector.yml	Integration spec and parameters
Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector.py	Async client and fetcher implementation

Comments suppressed due to low confidence (4)

Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector.yml:29

• The defaultvalue for max_fetch is specified as a string ('10000'), but the parameter represents a numeric limit. Consider using a numeric value without quotes to avoid unintended type conversions.

  defaultvalue: '10000'

Packs/IBMStorageScale/pack_metadata.json:8

• The email field is empty. Providing a maintainer or support contact email will improve metadata completeness and assist users with questions or issues.

    "email": "",

Packs/IBMStorageScale/Integrations/IBMStorageScaleEventCollector/IBMStorageScaleEventCollector.py:104

• The code uses urlparse but does not import it, which will cause a NameError at runtime. Add from urllib.parse import urlparse at the top of the file.

                next_url_suffix = f"{urlparse(next_full_url).path}?{urlparse(next_full_url).query}" if next_full_url else None

Packs/IBMStorageScale/README.md:6

• [nitpick] The line contains both a hyphen and an em dash (-—), which appears to be a typographical error. Consider using a single hyphen or em dash for consistency, e.g., - IBM Storage Scale — This integration....

- IBM Storage Scale -— This integration collects Command Line Interface (CLI) audit log records from the IBM Storage Scale API. It is designed for high performance in large-scale deployments, using a concurrent fetching mechanism to ensure efficient and timely data ingestion into Cortex XSIAM.

[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
Packs/IBMStorageScale/Integrations/IBMStorageScale
IBMStorageScale.py	263	50	80%	30, 41, 44, 61–62, 64–67, 70, 72–73, 76–78, 80, 91, 177–178, 226, 234–236, 276, 287, 321–323, 333–334, 347–348, 361–362, 403, 407–408, 427–429, 434, 499–504, 519–520, 531
TOTAL	263	50	80%

Tests	Skipped	Failures	Errors	Time
19	0 💤	0 ❌	0 🔥	2.620s ⏱️

[content-bot]

Validate summary
The following errors were thrown as a part of this pr: RM110, DO106.
The following errors can be ignored: RM110.
The following errors cannot be ignored: DO106.
If the AG100 validation in the pre-commit GitHub Action fails, the pull request cannot be force-merged.
The following errors don't run as part of the nightly flow and therefore can be force merged: DO106.

Verdict: PR can be force merged from validate perspective? ❌