master
1 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 HAL9000
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3b66bf08f5 |
feat(acms): implement context analysis engine with tier distribution and budget utilization metrics
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Introduces a new ContextAnalysisEngine service to unify ACMS context analysis across tiered storage. It computes and exposes key observability metrics and provides flexible formatting for tooling and dashboards. Metrics include: - entry_count(): total entries across all tiers - tier_distribution(): per-tier counts and sizes (hot, warm, cold) - budget_utilization(): current total size vs. configured max, as a percentage - top_files(n): top-N entries by access_count in descending order - analyze(top_n): combined analysis result aggregating the above metrics - format_json() and format_text() static formatters for machine- and human-friendly output A new CLI command context analyze has been added at src/cleveragents/cli/commands/context.py to surface the feature from the command line. Unit tests live under features/acms_context_analysis_engine.feature (29 scenarios) with step definitions in features/steps/acms_context_analysis_engine_steps.py. The commit wires the new command into the CLI, enables test-driven validation of the metrics, and lays the groundwork for integration with dashboards. ISSUES CLOSED: #9984 |