1a1ca84db325673b002cadc6468a3075ddddedb2
5 Commits
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2dd920078a |
fix(tests): add resolve_actor_options to mock lifecycle helpers
The PR added resolve_actor_options() to StrategyActor, LLMStrategizeActor, and LLMExecuteActor, but the three mock lifecycle SimpleNamespace objects used by tests did not include this method, causing AttributeError at runtime: - features/mocks/mock_strategy_llm.py: make_mock_lifecycle() used by robot/helper_strategy_actor.py (strategy_actor.robot llm-json test) and features/steps/strategy_actor_llm_steps.py - features/steps/llm_actors_coverage_steps.py: _make_mock_lifecycle() used by llm_actors_coverage.feature scenarios - robot/helper_m5_e2e_context.py: inline lifecycle SimpleNamespace used by m5_e2e_verification.robot Execute Phase LLM Uses ACMS Context All three now include resolve_actor_options=MagicMock(return_value=None) matching the None-return contract the actors use when no custom backend is configured. ISSUES CLOSED: #11256 |
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3e13411fcf
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fix(actors): distinguish namespace/name from provider/model in actor name parsing
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When action YAML references actors using namespace/name format (e.g. `strategy_actor: local/my-strategist`), `_parse_actor_name()` incorrectly treated the namespace prefix as a provider name, causing `ValueError: Unknown provider type: local`. Changes: - `_is_known_provider()`: New utility function (strategy_resolution.py) that checks whether a slash-separated first segment matches a known `ProviderType` value (openai, anthropic, etc.). Consolidated into a single implementation; llm_actors.py now imports from strategy_resolution.py. - `_parse_actor_name()`: When the first segment IS a known provider, preserves existing behaviour (provider/model). When it is NOT a known provider, treats the input as namespace/name and returns the full name as the model identifier with the default provider. Callers SHOULD pre-resolve namespace/name references via the actor registry before calling this function. Both implementations (strategy_resolution.py and llm_actors.py) updated; ProviderType import moved to top level. - `PlanLifecycleService.resolve_actor_provider_model()`: New method that resolves a namespaced actor name (e.g. local/my-strategist) to provider/model format by looking up the actor record and extracting its provider and model fields. - `LifecycleService` Protocol (strategy_resolution.py): Added `resolve_actor_provider_model` to the protocol, eliminating the need for `# type: ignore[union-attr]` at call sites. - `PlanLifecycleProtocol` (llm_actors.py): Added `resolve_actor_provider_model` to the protocol. - Caller pre-resolution: StrategyActor, LLMStrategizeActor, LLMExecuteActor, SessionWorkflow._resolve_llm(), and CLI session commands now pre-resolve actor names through the lifecycle service or via injected actor_resolver callables before calling `_parse_actor_name()`, ensuring namespace/name references are correctly mapped to their underlying LLM providers. - `_build_actor_resolver()` (cli/commands/session.py) and `_build_actor_resolver_for_session_workflow()` (a2a/facade.py): Moved `_is_known_provider` imports to top level; removed redundant `except (NotFoundError, Exception)`; added warning logging for outer exception handlers. - `make_mock_lifecycle()` (mock_strategy_llm.py) and `_make_mock_lifecycle()` (llm_actors_coverage_steps.py): Added `resolve_actor_provider_model` to mock lifecycle services for test compatibility. - Added `@tdd_issue @tdd_issue_11254` tags to all new BDD scenarios related to namespace/name disambiguation in llm_actors_coverage, strategy_actor_llm, and plan_lifecycle_service_coverage_boost_r4 feature files. - Updated docs/CHANGELOG.md with the fix entry. ISSUES CLOSED: #11254 |
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80bc9c552d |
test: restore and enhance e2e test coverage
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Fix malformed imports in helper_m1_e2e_verification.py and helper_m4_e2e_cli.py where 'from helpers_common import reset_global_state' was incorrectly inserted inside a parenthesized import block, causing Python syntax errors and breaking the lint and unit_tests CI gates. Also fix import ordering in helper_m2_e2e_verification.py, helper_m5_e2e_context.py, helper_m5_e2e_support.py, and helper_m5_e2e_verification.py to satisfy ruff I001 import-sort rules by placing helpers_common imports in the correct group alongside other local robot/ helper imports. ISSUES CLOSED: #8459 |
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7aa50ac489 |
fix(e2e): restore M5/WF14 tests broken by JSON envelope and stale config
- Add NO_COLOR=1 to E2E Suite Setup and Test Environment to prevent Rich from injecting ANSI escape codes into JSON output, which breaks Extract JSON From Stdout and JSON assertions in M5/WF14 acceptance tests. - Add reset_global_state() calls to all M1/M2/M4/M5 E2E verification helpers to clear Settings singleton, DI container, provider registry, and SQLAlchemy engine cache between parallel pabot worker runs. - Propagate NO_COLOR=1 at suite-setup level in E2E and integration test resource files so all Run Process subprocesses inherit clean terminal output mode. Root causes: 1. Missing NO_COLOR=1 caused Rich ANSI codes in CLI JSON output, making json.loads() failures in robot Extract JSON From Stdout 2. Stale Settings singleton carried provider keys and DB paths between pabot workers, causing UNIQUE constraint violations and stale config lookups in context policy and server mode E2E tests. Related: PR #9912 |
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4e64544aae |
feat(acms): projects with 10,000+ files index without timeout
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Add explicit indexing timeout bounds and propagate timeout_seconds through the repo indexing service, utility walker, and CLI entrypoint so large repositories fail predictably instead of hanging. Add 10K-scale Behave/Robot verification and a dedicated benchmark path to validate that large-project indexing completes, persists status correctly, and remains measurable for regressions. Address review feedback by splitting oversized Behave and Robot support files into focused modules, trimming repo_indexing_service.py back under the 500-line limit, and rebasing the branch onto current master. ISSUES CLOSED: #851 # Conflicts: # CHANGELOG.md # robot/helper_m5_e2e_verification.py |