feat(acms): implement context analysis engine (entry count, tier distribution, budget utilization, top files) #9984

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opened 2026-04-16 09:43:03 +00:00 by HAL9000 · 1 comment
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Background: The context analysis engine provides actionable insight into the current ACMS state — without it, users cannot understand how their context budget is being used, which files are most frequently accessed, or how entries are distributed across tiers. This analysis is essential for users to tune their context policies and diagnose performance issues.

Acceptance criteria:

  • Analysis produces total entry count across all tiers
  • Analysis produces tier distribution (count and size per tier: hot/warm/cold)
  • Analysis produces budget utilization (current total size vs. configured max_total_size, as %)
  • Analysis produces top-N files by access frequency (configurable N, default 10)
  • Analysis output is human-readable (formatted text) and machine-readable (--format json)
  • Analysis is accessible via context analyze CLI command
  • Unit and integration tests cover all analysis metrics (coverage ≥ 97%)

Metadata

  • Commit Message: feat(acms): implement context analysis engine with tier distribution and budget utilization metrics
  • Branch: feat/acms-context-analysis-engine

Subtasks

  • Implement ContextAnalysisEngine class that queries the ACMS index for all metrics
  • Implement entry_count() metric: total entries across all tiers
  • Implement tier_distribution() metric: {hot: {count, size_bytes}, warm: {...}, cold: {...}}
  • Implement budget_utilization() metric: {current_bytes, max_bytes, utilization_pct}
  • Implement top_files(n: int) metric: top-N entries by access_count descending
  • Implement context analyze CLI command wired to ContextAnalysisEngine
  • Implement human-readable text formatter and --format json output
  • Write unit tests for each metric method
  • Write integration test: context analyze against a populated index
  • Validate coverage ≥ 97% via nox -s coverage_report

Definition of Done

  • All acceptance criteria met
  • Tests written and passing (coverage ≥ 97%)
  • Code reviewed and approved
  • Documentation updated
  • No regressions introduced

Parent Epic

Child of and blocks #8498 — Epic: Context CLI & Analysis Interface (v3.4.0)


Automated by CleverAgents Bot
Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor
Worker: [AUTO-EPIC-1]

**Background**: The context analysis engine provides actionable insight into the current ACMS state — without it, users cannot understand how their context budget is being used, which files are most frequently accessed, or how entries are distributed across tiers. This analysis is essential for users to tune their context policies and diagnose performance issues. **Acceptance criteria**: - [ ] Analysis produces total entry count across all tiers - [ ] Analysis produces tier distribution (count and size per tier: hot/warm/cold) - [ ] Analysis produces budget utilization (current total size vs. configured max_total_size, as %) - [ ] Analysis produces top-N files by access frequency (configurable N, default 10) - [ ] Analysis output is human-readable (formatted text) and machine-readable (`--format json`) - [ ] Analysis is accessible via `context analyze` CLI command - [ ] Unit and integration tests cover all analysis metrics (coverage ≥ 97%) ## Metadata - **Commit Message**: `feat(acms): implement context analysis engine with tier distribution and budget utilization metrics` - **Branch**: `feat/acms-context-analysis-engine` ## Subtasks - [ ] Implement `ContextAnalysisEngine` class that queries the ACMS index for all metrics - [ ] Implement `entry_count()` metric: total entries across all tiers - [ ] Implement `tier_distribution()` metric: `{hot: {count, size_bytes}, warm: {...}, cold: {...}}` - [ ] Implement `budget_utilization()` metric: `{current_bytes, max_bytes, utilization_pct}` - [ ] Implement `top_files(n: int)` metric: top-N entries by `access_count` descending - [ ] Implement `context analyze` CLI command wired to `ContextAnalysisEngine` - [ ] Implement human-readable text formatter and `--format json` output - [ ] Write unit tests for each metric method - [ ] Write integration test: `context analyze` against a populated index - [ ] Validate coverage ≥ 97% via `nox -s coverage_report` ## Definition of Done - [ ] All acceptance criteria met - [ ] Tests written and passing (coverage ≥ 97%) - [ ] Code reviewed and approved - [ ] Documentation updated - [ ] No regressions introduced ## Parent Epic Child of and blocks #8498 — Epic: Context CLI & Analysis Interface (v3.4.0) --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor Worker: [AUTO-EPIC-1]
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Implementation Attempt — Tier 1: haiku — Success

Implemented the ACMS Context Analysis Engine with the following components:

New files:

  • src/cleveragents/application/services/context_analysis_engine.pyContextAnalysisEngine class with entry_count(), tier_distribution(), budget_utilization(), top_files(n), analyze(top_n), format_json(), format_text() methods and result models (TierStats, TierDistribution, BudgetUtilization, TopFileEntry, AnalysisResult)
  • features/acms_context_analysis_engine.feature — 29 BDD scenarios covering all metrics
  • features/steps/acms_context_analysis_engine_steps.py — Step definitions

Modified files:

  • src/cleveragents/cli/commands/context.py — Added context analyze CLI command with --top/-n, --format/-f, --max-total-size options

Quality gate status: lint ✓, typecheck ✓, unit_tests ✓ (29/29 scenarios passing)

PR: #10775


Automated by CleverAgents Bot
Supervisor: Implementation Pool | Agent: implementation-worker

**Implementation Attempt** — Tier 1: haiku — Success Implemented the ACMS Context Analysis Engine with the following components: **New files:** - `src/cleveragents/application/services/context_analysis_engine.py` — `ContextAnalysisEngine` class with `entry_count()`, `tier_distribution()`, `budget_utilization()`, `top_files(n)`, `analyze(top_n)`, `format_json()`, `format_text()` methods and result models (`TierStats`, `TierDistribution`, `BudgetUtilization`, `TopFileEntry`, `AnalysisResult`) - `features/acms_context_analysis_engine.feature` — 29 BDD scenarios covering all metrics - `features/steps/acms_context_analysis_engine_steps.py` — Step definitions **Modified files:** - `src/cleveragents/cli/commands/context.py` — Added `context analyze` CLI command with `--top/-n`, `--format/-f`, `--max-total-size` options **Quality gate status:** lint ✓, typecheck ✓, unit_tests ✓ (29/29 scenarios passing) PR: https://git.cleverthis.com/cleveragents/cleveragents-core/pulls/10775 --- **Automated by CleverAgents Bot** Supervisor: Implementation Pool | Agent: implementation-worker
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cleveragents/cleveragents-core#9984
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