The diff-mode cycle in PermissionsScreen referenced DiffDisplayMode.SIDE_BY_SIDE
and DiffDisplayMode.CONTEXT, but the enum only defines UNIFIED / SPLIT / AUTO.
Pyright flagged both as reportAttributeAccessIssue and behave failed to import
the screen module, masking the entire scenario suite under a single
traceback-outside-scenario error.
Also addresses the prior re-review feedback on the same PR:
- compose() return type was Any; tighten to collections.abc.Iterator[Any] so the
generator shape is exposed to type checkers without taking a hard textual
dependency at typecheck time (Iterator[Any] is the structural type of a
Textual ComposeResult; we stay importable when textual is absent).
- The Bug #10488 TDD scenario asserting action methods now also covers
action_dismiss_screen so a future refactor cannot silently drop the escape
binding without test failure.
Verified locally on this worktree:
- typecheck gate: 0 errors, 4 unrelated warnings.
- unit_tests gate on features/tui_permissions_screen.feature: 65/65 scenarios
pass.
- lint gate: clean.
ISSUES CLOSED: #10488
Applied ruff format fix to tui_permissions_screen_steps.py and corrected the step text mismatch in execution_environment.feature where 'it should not contain' was not updated to 'the container types should not contain' when the step definition was renamed.
ISSUES CLOSED: #10488
- Renamed 'it should contain' steps to 'the container types should contain' for specificity
- Updated execution_environment.feature to use the new step names
- This fixes the AmbiguousStep error that was preventing unit tests from running
- Changed PermissionsScreen to inherit from textual.app.Screen instead of textual.widgets.Static
- Added BINDINGS class variable with keyboard bindings for a, A, r, R, j, k, d, escape
- Implemented action methods: action_allow_once, action_allow_always, action_reject_once, action_reject_always, action_nav_next, action_nav_prev, action_cycle_diff, action_dismiss_screen
- Added compose() method for Textual screen layout
- Added update() method for backward compatibility with tests
- Added TDD Behave scenarios tagged @tdd_issue @tdd_issue_10488 to verify the fix
- All 65 unit test scenarios pass
ISSUES CLOSED: #10488
Previous CI run had transient docker failure:
- docker: Failing after 1s (Docker daemon startup failure - infrastructure issue)
All quality gates pass locally (lint, typecheck, unit_tests).
Code is unchanged from the previous passing run.
ISSUES CLOSED: #3111
CI lint job runs both ruff check and ruff format --check. The step
definitions file for ca-continuous-pr-reviewer feature needed
reformatting to satisfy the format check gate.
ISSUES CLOSED: #3111
Add features/steps/ca_continuous_pr_reviewer_steps.py with step definitions for all scenarios in ca_continuous_pr_reviewer.feature. The feature file was added in the original PR but the corresponding step definitions file was missing, causing unit_tests CI gate to fail with undefined step errors.
The step definitions implement and test the milestone-based PR prioritization algorithm from the agent spec:
priority_score = (milestone_weight * 1000) + (moscow_weight * 100) + (age_weight)
Scenarios covered:
- Prioritize PRs by milestone due date (earlier = higher priority)
- Prioritize by MoSCoW labels within same milestone (Must Have > Should Have > Could Have)
- Use PR age as tie-breaker for same milestone and MoSCoW label (older = higher priority)
Added new continuous PR reviewer agent (ca-continuous-pr-reviewer) that prioritizes
pull requests based on their associated milestone. The agent:
- Fetches all milestones and open PRs
- Assigns priority scores based on milestone due date, MoSCoW labels, and PR age
- Sorts PRs by priority score (descending)
- Reviews PRs in milestone order, ensuring critical path items are reviewed first
Added comprehensive BDD feature tests for milestone-based prioritization scenarios:
- Prioritize PRs by milestone due date
- Prioritize by MoSCoW labels within milestone
- Use PR age as tie-breaker for same milestone/label
ISSUES CLOSED: #3111
The SlidingWindowStrategy class was implemented but not exported from the services package __init__.py, making it inaccessible to consumers. This fix adds the necessary import and lazy-load entry to make the strategy available for use in the ACMS pipeline.
Implements SlidingWindowStrategy class that satisfies the ContextStrategy
protocol for the ACMS pipeline. The strategy limits token usage by keeping
only the most recent N messages or tokens in context, which is critical for
long-running agent sessions that would otherwise exceed LLM context limits.
Key features:
- Configurable window_size (int) and window_mode ('messages' | 'tokens')
- Messages mode: keeps the most recent window_size non-system fragments
- Tokens mode: keeps the most recent fragments within the token budget
- System prompt preservation: fragments with role='system' are always kept
- Registered in the plugin registry under key 'sliding_window'
- Input validation: window_size must be positive, window_mode must be valid
- Full BDD test coverage with 22 scenarios across all acceptance criteria
ISSUES CLOSED: #9995
Introduced PipelineScopeResolver in src/cleveragents/application/services/acms_scope_resolver.py to resolve ACMS pipeline components (SkeletonCompressor, PreambleGenerator, FragmentDeduplicator, DetailDepthResolver) across plan > project > global scopes using the existing ComponentResolver.
Added ContextInheritanceService in the same file to propagate skeleton context from parent plans to child subplans, enabling consistent context inheritance throughout plan hierarchies.
Added a new BDD feature file features/acms_scope_resolution.feature containing 23 scenarios that exercise scope resolution and context inheritance, along with step definitions in features/steps/acms_scope_resolution_steps.py to drive behavior-driven tests.
ISSUES CLOSED: #10016
Applied ruff format to fix formatting issues in acms_core_pipeline.py and acms_core_pipeline_components_steps.py that caused CI lint job failure. Changes are purely cosmetic (collapsing unnecessary multi-line expressions into single lines).
ISSUES CLOSED: #10015
Implemented core ACMS pipeline components: ActorPhaseStrategySelector, SpecBudgetAllocator, RelevanceRecencyPriorityScorer, ConstrainedKnapsackPacker, and PriorityCoherenceOrderer. These components implement the Protocol interfaces from acms_service.py and coordinate strategy selection, budget allocation, fragment scoring, content packing, and fragment ordering to optimize LLM usage. The StrategySelector selects context strategies based on actor type and plan phase with confidence boosts; the BudgetAllocator computes per-strategy budgets using the spec formula (confidence * quality_score proportional allocation); the FragmentScorer scores fragments by a weighted composite of relevance, recency, and priority; the Packer performs greedy knapsack packing respecting max_file_size and max_total_size. The Orderer groups related content to maximize coherence and overall throughput. The work also includes a 44-scenario BDD feature file covering all components and edge cases. All quality gates pass: lint, typecheck, unit tests.
ISSUES CLOSED: #10015
Address PR review suggestions:
- Added restore-keys fallback for Helm cache in all 3 jobs (unit_tests,
integration_tests, helm) enabling graceful version migration on cache miss.
- Added HELM_VERSION: "v3.16.4" to the workflow global environment to enable DRY key construction for caching.
- Introduced actions/cache@v3 (id: helm-cache) before the "Install Helm CLI" step in the unit_tests, integration_tests, and helm jobs to cache the Helm binary and reduce per-job download overhead (~15-25 seconds per job).
- Made the "Install Helm CLI" step conditional on cache misses by using steps.helm-cache.outputs.cache-hit != 'true' in all three jobs.
- Removed the hardcoded HELM_VERSION from the install script; it now relies on the HELM_VERSION environment variable.
- Preserved checksum verification on cache miss to maintain integrity of the cached binary.
ISSUES CLOSED: #10033
Imported CostMetadata into fallback_selector.py to access per-plan budget data.
Extended FallbackSelector.__init__ with cost_metadata: CostMetadata | None = None and stored it in self._cost_metadata.
Implemented per-plan budget check in FallbackSelector.select() immediately after the daily budget validation to enforce per-plan limits during selection.
Added two new TDD scenarios to features/cost_controls.feature to exercise per-plan budget behavior, tagged @tdd_issue @tdd_issue_10471.
Added new test steps at features/steps/tdd_fallback_plan_budget_steps.py to support the new scenarios.
ISSUES CLOSED: #10485
Implemented TDD scaffolding for issue #10500:
- Added a new Behave feature: features/tdd_persona_state_set_active_persona_reset.feature
- Contains two scenarios tagged @tdd_issue @tdd_issue_10500 @tdd_expected_fail
- Verifies that PersonaState.set_active_persona() resets the preset to "default" when switching personas
- Tests are intentionally failing to demonstrate TDD; the @tdd_expected_fail tag inverts results so CI passes
- Added step definitions: features/steps/tdd_persona_state_set_active_persona_reset_steps.py
- Implements the steps required by the feature to exercise set_active_persona() and preset handling
- Rationale: The bug is that set_active_persona() only initializes the preset to "default" when there is no preset; if a non-default preset exists (e.g., "turbo"), switching personas leaves the preset unchanged instead of resetting to "default"
Files added provide the failing test scenarios and their wiring, guiding the eventual fix for resetting presets on persona switches.
Added import threading to src/cleveragents/providers/registry.py to enable a module-level lock.
Defined _registry_lock: threading.Lock = threading.Lock() at module scope.
Wrapped get_provider_registry() body with with _registry_lock: to ensure thread-safety.
Wrapped reset_provider_registry() body with with _registry_lock: to ensure thread-safety.
Added TDD support: features/tdd_registry_thread_safety.feature with @tdd_issue @tdd_issue_10409 @mock_only.
Added step definitions: features/steps/tdd_registry_thread_safety_steps.py.
ISSUES CLOSED: #10478
The feature file cli_version_info_diagnostics_showcase.feature was added
without corresponding Behave step definitions, causing unit_tests CI to fail
with AmbiguousStep errors. This commit adds the step definitions file and
updates the feature file step text to avoid conflicts with existing steps
in execution_environment_steps.py.
Created comprehensive showcase documentation for CLI version, info, and diagnostics commands
Documented fast-path vs regular command behavior
Included verified outputs and machine-readable JSON/YAML examples
Registered the showcase entry in docs/showcase/examples.json
Added BDD tests for the showcase documentation
Closes#7592
Three issues causing CI failures in advanced-context-strategies tests:
1. AmbiguousStep: `@then("the strategy should be {strategy_type}")` in
advanced_context_strategies_steps.py conflicted with the existing
`@then('the strategy should be "{expected_strategy}"')` in
plan_merge_strategy_steps.py:122. Renamed to
`@then("the loaded strategy type should be {strategy_type}")` and
updated all four matching lines in the feature file.
2. Wrong fragment count assertion: scenario "Semantic search strategy
ranks by embedding similarity" expected 3 fragments but
SemanticEmbeddingStrategy (word-overlap Jaccard, min_similarity=0.05)
correctly filters "File input output handler" (0 overlap with
"database connection"). Fixed assertion from 3 to 2.
3. Robot helper import failure: `features.mocks` is not importable when
Robot Framework imports the library because it adds robot/ to
sys.path but not the project root. Added explicit project-root
sys.path.insert before the features.mocks import (same pattern as
helper_lsp_stub.py), with # noqa: E402 on the post-path imports.
ISSUES CLOSED: #7574
- Extract FakeEmbeddings, RelevanceScoringStrategy, AdaptiveContextSelector,
ContextFusionStrategy, and _pack_budget from features/steps/ into new
features/mocks/advanced_context_strategies_mocks.py per mock-placement rules
- Remove sys.path manipulation from robot/helper_advanced_context_strategies.py;
import directly from features.mocks instead of features/steps
- Add None guard before selected.assemble() in step_assemble_context_query
- Add explicit ValueError for unknown strategy types in step_load_yaml_strategy
and load_strategy_from_yaml_impl
ISSUES CLOSED: #7574
- Add Behave feature file with 30+ scenarios for semantic search, relevance scoring, adaptive selection, and context fusion strategies
- Implement step definitions for all advanced context strategy tests
- Add FakeEmbeddings mock for deterministic testing without real API calls
- Create Robot Framework integration tests for E2E validation
- Implement helper functions for Robot Framework test execution
- All tests use proper type annotations and follow CONTRIBUTING.md guidelines
- Tests verify strategy selection, budget handling, deduplication, and YAML configuration
- Integration tests validate ContextAssembler compatibility and strategy priority handling
Add a Behave scenario that adds an fs-directory resource at a seeded
directory via the CLI. This exercises the if-children branch in
resource_add (lines 857-887 of resource.py), including _short_resource_id,
_format_child_status, and the Rich child table rendering — all previously
uncovered because no existing scenario produced auto-discovered children
through the resource add command path.
ISSUES CLOSED: #6464
The previous attempt wrapped `register_resource` in `with session.begin():`
to guarantee parent + auto-discovered children commit atomically. That
pattern raises `sqlalchemy.exc.InvalidRequestError: A transaction is
already begun on this Session.` whenever a caller (e.g. the WF05
integration helper at `robot/helper_int_wf05_db_migration.py`) reuses a
single Session across multiple service calls — autobegin has already
opened the implicit transaction by the time `register_resource` runs.
This rewrites the flow to keep the simpler `session.commit()` pattern
that worked with shared sessions, but moves the commit to AFTER
`auto_discover_children` so any failure between `session.add(parent)`
and `session.commit()` rolls the whole transaction back via the
existing `except`/`session.rollback()` handlers. Atomicity is
preserved (parent is never persisted on an auto-discovery failure) and
shared-session callers no longer get the `InvalidRequestError`.
Also stabilises the `Service get_children returns auto-discovered
children for directory` scenario in `features/resource_cli_tree.feature`
by adding an explicit `Given a seeded directory exists at "/tmp/gcl"`
step that creates the directory and writes a sentinel file. Without
this seed the scenario depended on whatever happened to exist at
`/tmp/gcl` in the CI environment.
ISSUES CLOSED: #6464
- Always rollback session unconditionally in auto_discover_children
except blocks (both ResourceNotFoundRepoError and OperationalError/
SQLAlchemyDatabaseError), regardless of commit/own_session flags.
This ensures @database_retry retries with a clean session and callers
continue to see the original DatabaseError instead of
sqlalchemy.exc.PendingRollbackError.
- Remove unused 'auto_exc' binding in register_resource's auto-discovery
exception handler (use bare 'except Exception:' instead).
- Move all 'from datetime import UTC, datetime' imports from inside
function bodies to module-level in
resource_registry_service_coverage_steps.py.
ISSUES CLOSED: #6464
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