3 Commits

Author SHA1 Message Date
freemo a0df5a4cd0 fix(cli): wrap format_output() in spec-required JSON/YAML envelope across all CLI commands
Implements the spec-required JSON/YAML output envelope for all CLI commands
that use format_output(). The envelope structure is:

  {
    "command": "<command that was run>",
    "status": "ok" | "warn" | "error",
    "exit_code": 0,
    "data": { ... command-specific payload ... },
    "timing": { "duration_ms": 123 },
    "messages": [{ "level": "ok", "text": "..." }]
  }

Changes:
- Add _build_envelope() helper to construct the spec-required envelope
- Add optional command, status, exit_code, messages parameters to format_output()
- Wrap json/yaml output in the envelope; plain/table/rich/color unchanged
- Add timing measurement (duration_ms) to all json/yaml outputs
- Add new BDD feature file (cli_json_envelope.feature) with 14 scenarios
  testing envelope field presence, values, and data payload
- Update 14 existing step files to unwrap the envelope when checking
  specific data keys (backward-compatible via _unwrap_envelope() helper)

Closes #3431
2026-04-05 19:48:40 +00:00
aditya c40ea014dc feat(cli): add skill tools and refresh commands
Implemented agents skill refresh command to recompute tool flattening and sync
MCP-backed skills. Enhanced skill list/show/tools outputs with capability
summary fields.

- agents skill refresh <name>|--all to recompute flattening
- Enhanced skill list/show/tools with capability summary and tool counts
- Added --format json/yaml schemas for refresh output
- CLI errors for nonexistent skills and MCP sync failures
- Behave tests (skill_cli.feature), Robot tests (skill_cli.robot)
- ASV benchmarks (skill_cli_bench.py) for CLI overhead baseline
- Updated docs/reference/skill_cli.md with refresh command examples
- Documented refresh side effects and caching behavior

ISSUES CLOSED: #167
2026-02-26 10:57:07 +00:00
freemo 3a2b134f3c test(coverage): add Behave scenarios for remaining under-tested modules
Added Behave BDD feature files and step definitions targeting coverage
gaps in six modules:

- container.py: exercise get_database_url env-var fallback, AI provider
  None path, cached container singleton, override_providers edge cases
  (lines 66-69, 125-130; branches at 51, 57, 82, 87, 256, 284-288)
- correction_service.py: exercise exception-handling paths in
  execute_revert and execute_append via monkeypatched analyze_impact
  and ULID failures (lines 254-262, 320-328)
- plan_lifecycle_service.py: exercise _persisted UoW commit paths,
  InvalidPhaseTransitionError custom message branch, non-reusable
  action archive, and error_details merge logic (branches at 100,
  216, 237, 327, 461, 570, 576, 607)
- plan.py (CLI): exercise spec-dict optional field branches,
  _print_lifecycle_plan conditional rendering, use_action argument
  parsing, auto-resolve paths, legacy wrappers, and validation
  error branches across 66 scenarios
- skill.py (CLI): exercise singleton cache, timestamp-absent show,
  no-tools MCP, add/remove/list/show format and error branches
  across 26 scenarios
- models.py (DB): exercise to_domain/from_domain None-field branches
  in SkillModel, SessionModel, ToolModel, LifecycleActionModel,
  LifecyclePlanModel, NamespacedProjectModel, and SessionMessageModel
  across 41 scenarios

All 302 features, 6503 scenarios, 28271 steps pass (nox -e unit_tests).

ISSUES CLOSED: #446
2026-02-25 19:38:43 -05:00