6 Commits

Author	SHA1	Message	Date
HAL9000	80bc9c552d	test: restore and enhance e2e test coverage ... 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	2026-05-01 00:59:02 +00:00
HAL9000	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	2026-05-01 00:59:02 +00:00
aditya	4e64544aae	feat(acms): projects with 10,000+ files index without timeout ... 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	2026-03-30 10:18:19 +00:00
aditya	f0442e835d	feat(acms): plan execution leverages ACMS context for LLM calls ... Integrate ACMS execute-phase context assembly into LLMExecuteActor and inject assembled context into execute prompts with resilient fallback when assembly fails or returns empty output. Wire the plan CLI executor to use an ACMS-backed execute context assembler, add Behave coverage for context injection/fallback/empty context, and extend Robot M5 verification helpers to assert execute-phase ACMS context usage. ISSUES CLOSED: #850	2026-03-30 09:21:51 +00:00
aditya	ef8f9640fa	feat(acms): context analysis produces meaningful summaries ... Add phase-wise context analysis summaries for strategize, execute, and apply, and integrate them into `agents project context inspect` and `agents project context simulate` with per-phase resource counts, size and token utilization, and narrowing diagnostics.\n\nAdd Behave and Robot coverage for empty, single-resource, multi-resource, and budget-constrained context analysis, and tighten the M5 smoke coverage after review feedback with exact summary assertions and a missing-path regression scenario for `agents context add`.\n\nISSUES CLOSED: #849	2026-03-30 08:42:48 +00:00
brent.edwards	fd1612c38f	test(e2e): verify M5 success criteria — ACMS and large-project context ... Robot Framework E2E test suite exercising the complete M5 success criteria verification sequence: - Large project creation with 10,000+ simulated files - Resource registration and linking to a project - Indexing verification (resource linked, project shows correctly) - Context tier management (hot/warm/cold) via ContextConfig - ACMS v1 context policy set/show with persistence round-trip - Phase view inheritance (default → strategize → execute → apply) - Scoped context output per ACMS phase with narrowing size limits - Policy clear and inheritance fallback - ContextView validation rules (size limits, VALID_PHASES) Nine subcommands in the Python helper, each printing a sentinel string on success. All subcommands verified passing locally. Closes #406	2026-02-26 16:32:01 +00:00