feat(activemq): add dataflows.yaml asset

[bgoldberg122]

Summary

• Add missing assets/dataflows.yaml to the activemq integration
• Defines activemq-broker-metrics stream for JMX-collected broker, queue, and Artemis metrics
• Defines activemq-logs stream for activemq.log and audit.log via the source:activemq pipeline

Test plan

• Verify dataflows.yaml schema is valid against the Publishing Platform spec
• Confirm stream IDs follow <app_id>-<data-category> convention

🤖 Generated with Claude Code

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Mark activemq logs stream as optional

The new activemq-logs stream is marked always_on: true, but this integration’s own setup docs say log collection is disabled by default and only works after explicitly enabling logs and adding log config (activemq/README.md lines 52-59). Keeping this as always-on misrepresents when the logs dataflow is actually available and can skew downstream cataloging/eligibility logic for installations that only collect metrics.

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[dd-octo-sts]

Validation Report

All 20 validations passed.

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Validation	Description	Status
agent-reqs	Verify check versions match the Agent requirements file	✅
ci	Validate CI configuration and Codecov 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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