fix: wire DI persistence and plan execute/apply for M1 lifecycle #957
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5f07316641 |
fix: wire DI persistence and plan execute/apply for M1 lifecycle
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Fixed 5 bugs preventing the M1 E2E acceptance test from passing: 1. _get_lifecycle_service() in action.py and plan.py bypassed the DI container, creating PlanLifecycleService without UnitOfWork. All plan/action data was in-memory only and lost between subprocess calls. Now uses container.plan_lifecycle_service() for DB persistence. 2. `plan execute` CLI only called service.execute_plan() (a pure state transition) without running PlanExecutor phase processing. Rewrote to detect the plan's current phase/state and dispatch synchronously: Strategize/queued → run_strategize(), Strategize/complete → transition + run_execute(), Execute/queued → run_execute(). 3. `plan apply` CLI had no plan_id argument. Added optional positional plan_id with _lifecycle_apply_with_id() that drives the plan through Apply/queued → Apply/processing → Apply/applied. 4. Preflight guardrail in start_strategize() built action_registry from the in-memory _actions dict only. Added get_action(plan.action_name) call to load the action from DB into cache before the guardrail check. 5. Robot Framework Create File syntax used continuation lines producing 9 arguments instead of 1. Fixed to use Catenate SEPARATOR=\n then pass single variable to Create File. Also fixed --branch main to --branch master (git init default). update mocks for execute_plan CLI changes across unit and integration tests The new execute_plan() command calls _get_plan_executor() and service.get_plan(plan_id) for phase/state detection. Existing tests only mocked _get_lifecycle_service, so MagicMock defaults caused phase/state comparisons to fail. Changes across 14 files: - Patch _get_plan_executor in all test setups that invoke the CLI execute command (Behave step files + Robot helper scripts) - Set service.get_plan.return_value to real Plan objects with correct phase/state so the execute_plan dispatch logic works - Fix error-path tests to use STRATEGIZE/COMPLETE plans so the error side_effects are actually reached - Fix "Multiple plans eligible" → "Multiple plans ready" message text to match existing test expectations increase Robot Framework subprocess timeouts for CI resource contention Three integration tests were timing out in CI due to resource contention when pabot runs multiple test suites in parallel. All three pass locally and the timeouts were simply too tight for constrained CI environments. - tdd_session_create_di.robot: 30s → 90s (DI container init + DB setup) - database_integration.robot: 60s → 120s (Run Python Script keyword) - m3_e2e_verification.robot: 60s → 120s (correction-live-revert spawns 3 sequential CLI subprocesses with full container initialization) ISSUES CLOSED: #789 |
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cb3b7aab44 |
test(e2e): E2E acceptance criteria for M1 (v3.0.0) — minimal plan execution flow
Added Robot Framework E2E test suite for M1 milestone acceptance criteria. Tests the complete plan lifecycle (action create → resource add → project create → plan use → plan execute strategize → plan execute → plan diff → plan apply) with real LLM API keys and no mocking. Key implementation details: - Uses openai/gpt-4o-mini as strategy/execution actor (cost-effective) - Simple definition_of_done: "Create a file called HELLO.md" - Creates isolated temp git repo via Create Temp Git Repo keyword - Extracts plan ID via ULID regex from plain-text output - Uses expected_rc=None for LLM-dependent steps (execute, diff, apply) to handle non-deterministic LLM behavior gracefully - Flexible structural assertions: checks rc, output presence, git log - Skips gracefully when no LLM API keys (ANTHROPIC/OPENAI) are set - Tagged [E2E] so it runs only in nox -s e2e_tests session ISSUES CLOSED: #741 |