[rabbitmq] [rabbitmq] Add metric for unbalanced queue masters

[mahipdeora25]

Generated by FBO — DRAFT for human review

Closes FRAGENT-1039

Reality-check reasoning

There is no metric related to queue masters or unbalanced queue masters in the integration. The QUEUE_ATTRIBUTES list in const.py defines all queue metrics collected — it covers consumers, messages, memory, rates, etc., but contains no node/master tracking fields like synchronised_slave_nodes, slave_nodes, or any "queue master" balance metric. The metadata.csv (329 metrics) was scanned and shows no master or unbalanced metric names. The FR asks for a new metric derived from RabbitMQ's HA/mirroring API (https://www.rabbitmq.com/ha.html) that would detect uneven distribution of queue masters across nodes — this logic does not exist anywhere in the current check code.

Learned from exemplar PRs: #20174, #19401, #19536, #20697, #23457

This PR was opened as a Draft. A human should review the diff,
re-run validators if needed, and mark Ready for Review.

[dd-octo-sts]

Validation Report

Validation	Description	Status
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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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Missing QA decision label for PR #23874. The PR must declare if it requires QA validation with 'qa/required' or 'qa/skip-qa'.

ℹ️ Info

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🧪 All tests passed
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🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 95.43% (+8.05%)

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