Fix and optimize the Slurm integration

[steveny91]

What does this PR do?

Hardens the slurm integration against Slurm version drift (validated against Slurm 25.05 on a live CoreWeave SUNK cluster) and fixes a batch of latent correctness, robustness, metadata, and test-quality issues surfaced by a multi-pass review.

Motivation

I got access to a limited time slurm cluster and wanted to test the integration against it. Fixes some parsing errors and slight optimization to ensure crashes and timeout are better handled.

Fixed some dashboards queries that were incorrectly marked for a metric that wasn't emitted. Same for the metadata.csv

[datadog-datadog-prod-us1]

   

✨ Fix all issues with BitsAI

⚠️ Warnings

🚦 2 Pipeline jobs failed

Check PR | run / Check PR changelog     

Validate repository | Run Validations / Validate     

ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 92.57%
• Overall Coverage: 93.58%

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[dd-octo-sts]

Validation Report

Validation	Description	Status
qa-label	Validate the pull request declares whether it needs QA for the next Agent release	❌

Run ddev validate all changed --fix to attempt to auto-fix supported validations.

Passed validations (20)

Validation	Description	Status
agent-reqs	Verify check versions match the Agent requirements file	✅
ci	Validate CI configuration and code coverage settings	✅
codeowners	Validate every integration has a CODEOWNERS entry	✅
config	Validate default configuration files against spec.yaml	✅
dep	Verify dependency pins are consistent and Agent-compatible	✅
http	Validate integrations use the HTTP wrapper correctly	✅
imports	Validate check imports do not use deprecated modules	✅
integration-style	Validate check code style conventions	✅
jmx-metrics	Validate JMX metrics definition files and config	✅
labeler	Validate PR labeler config matches integration directories	✅
legacy-signature	Validate no integration uses the legacy Agent check signature	✅
license-headers	Validate Python files have proper license headers	✅
licenses	Validate third-party license attribution list	✅
metadata	Validate metadata.csv metric definitions	✅
models	Validate configuration data models match spec.yaml	✅
openmetrics	Validate OpenMetrics integrations disable the metric limit	✅
package	Validate Python package metadata and naming	✅
readmes	Validate README files have required sections	✅
saved-views	Validate saved view JSON file structure and fields	✅
version	Validate version consistency between package and changelog	✅

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