feat(estimation): build historical plan statistics query service for estimation context assembly #1295

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brent.edwards 2aa0ff64bb feat(estimation): build historical plan statistics query service for estimation context assembly
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Implement the historical plan statistics infrastructure for the
estimation actor's context assembly, as specified in docs/specification.md
lines 19077-19081 (estimation actor analyzes "Historical data from
similar plans (if available)").

Components added:

1. HistoricalPlanStats — Frozen Pydantic v2 value object in
   domain/models/core/ packaging mean/median/p90 cost, mean/median
   duration, average step count, average child plan count, and success
   rate. Includes empty() factory for first-run scenarios and
   as_context_dict() for ACMS context fragment serialization.

2. LifecyclePlanRepository.get_completed_plans_by_action() — Repository
   method filtering on terminal states (complete, applied, errored,
   cancelled) ordered by created_at DESC with retry logic.

3. HistoricalPlanStatsService — Stateless application service that
   queries the repository and computes aggregate statistics using
   stdlib statistics module. Handles missing cost/timestamp/step data
   gracefully.

4. EstimationHistoricalStatsProvider — ACMS ContextStrategy
   implementation that injects historical stats as a high-relevance
   context fragment into the estimation actor's hot context tier.
   Handles service failures, empty history, and budget constraints.

Testing: 27 Behave scenarios covering model validation, service logic
(empty/normal/edge cases), ACMS provider integration, and repository
methods. 7 Robot integration tests with helper script. All quality
gates pass: lint, typecheck (0 errors), unit_tests (556 features,
13798 scenarios), integration_tests (1875 tests), e2e_tests, and
coverage_report (98.6%, threshold 97%).

ISSUES CLOSED: #652
2026-04-02 09:10:49 +00:00