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- Remove AutomationLevel imports from cli_robot_flow_bench.py and persistence_robot_bench.py (enum was removed by master's automation refactor); replace with AutomationProfileRef where needed. - Use typer.echo() instead of console.print() for machine-readable output (JSON/YAML/plain) in config.py and session.py to prevent Rich from injecting ANSI escape codes that corrupt json.loads(). - Set NO_COLOR=1 in noxfile unit_tests, integration_tests, and coverage_report sessions as a belt-and-suspenders safeguard for all CLI commands that route format_output through Rich.
232 lines
8.1 KiB
Python
232 lines
8.1 KiB
Python
"""ASV benchmarks for CLI Robot flow fixture setup overhead.
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Measures the performance overhead of:
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- Fixture setup for action creation (YAML write + parse)
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- Mock service initialisation for plan lifecycle commands
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- ChangeSet store creation and entry recording
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- Full lifecycle fixture setup (action + plan + changeset + sandbox)
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"""
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from __future__ import annotations
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import os
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import sys
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import tempfile
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from datetime import datetime
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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try:
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from cleveragents.cli.commands.action import app as action_app
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from cleveragents.cli.commands.plan import app as plan_app
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from cleveragents.domain.models.core.action import Action, ActionState
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from cleveragents.domain.models.core.change import (
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ChangeEntry,
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ChangeOperation,
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InMemoryChangeSetStore,
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)
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from cleveragents.domain.models.core.plan import (
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AutomationProfileProvenance,
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AutomationProfileRef,
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NamespacedName,
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Plan,
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PlanIdentity,
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PlanPhase,
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PlanTimestamps,
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ProcessingState,
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ProjectLink,
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)
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except ModuleNotFoundError:
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sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
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from cleveragents.cli.commands.action import app as action_app
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from cleveragents.cli.commands.plan import app as plan_app
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from cleveragents.domain.models.core.action import Action, ActionState
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from cleveragents.domain.models.core.change import (
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ChangeEntry,
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ChangeOperation,
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InMemoryChangeSetStore,
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)
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from cleveragents.domain.models.core.plan import (
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AutomationProfileProvenance,
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AutomationProfileRef,
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NamespacedName,
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Plan,
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PlanIdentity,
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PlanPhase,
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PlanTimestamps,
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ProcessingState,
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ProjectLink,
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)
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from typer.testing import CliRunner
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_PLAN_ULID = "01KHDE6WWS2171PWW3GJEBXZBN"
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_VALID_YAML = """\
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name: local/bench-lifecycle-action
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description: Benchmark lifecycle action
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strategy_actor: openai/gpt-4
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execution_actor: openai/gpt-4
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definition_of_done: Benchmarks pass
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"""
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_runner = CliRunner()
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def _mock_action(name: str = "local/bench-lifecycle-action") -> Action:
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"""Create a minimal Action for benchmarks."""
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return Action(
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namespaced_name=NamespacedName.parse(name),
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description="Benchmark lifecycle action",
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long_description=None,
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definition_of_done="Benchmarks pass",
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strategy_actor="openai/gpt-4",
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execution_actor="openai/gpt-4",
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state=ActionState.AVAILABLE,
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reusable=True,
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read_only=False,
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created_at=datetime.now(),
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updated_at=datetime.now(),
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created_by=None,
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)
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def _mock_plan(
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phase: PlanPhase = PlanPhase.STRATEGIZE,
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state: ProcessingState = ProcessingState.QUEUED,
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) -> Plan:
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"""Create a minimal Plan for benchmarks."""
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now = datetime.now()
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return Plan(
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identity=PlanIdentity(plan_id=_PLAN_ULID),
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namespaced_name=NamespacedName.parse("local/bench-plan"),
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description="Benchmark plan",
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definition_of_done="Benchmarks pass",
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action_name="local/bench-lifecycle-action",
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phase=phase,
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processing_state=state,
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project_links=[ProjectLink(project_name="proj-bench")],
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arguments={"target_coverage": 80},
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arguments_order=["target_coverage"],
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automation_profile=AutomationProfileRef(
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profile_name="trusted",
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provenance=AutomationProfileProvenance.PLAN,
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),
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strategy_actor="openai/gpt-4",
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execution_actor="openai/gpt-4",
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reusable=True,
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read_only=False,
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created_by=None,
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timestamps=PlanTimestamps(created_at=now, updated_at=now),
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)
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class CLIRobotFixtureSetupSuite:
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"""Benchmark fixture setup overhead for CLI Robot flow tests."""
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def setup(self) -> None:
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"""Prepare reusable mock objects."""
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self._mock_service = MagicMock()
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self._mock_service.create_action.return_value = _mock_action()
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self._mock_service.get_action_by_name.return_value = _mock_action()
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self._mock_service.use_action.return_value = _mock_plan()
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self._mock_service.execute_plan.return_value = _mock_plan(
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phase=PlanPhase.EXECUTE, state=ProcessingState.QUEUED
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)
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self._mock_service.apply_plan.return_value = _mock_plan(
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phase=PlanPhase.APPLY, state=ProcessingState.QUEUED
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)
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def time_yaml_fixture_write(self) -> None:
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"""Benchmark writing a YAML fixture file."""
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fd, path = tempfile.mkstemp(suffix=".yaml")
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with os.fdopen(fd, "w") as fh:
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fh.write(_VALID_YAML)
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Path(path).unlink(missing_ok=True)
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def time_mock_service_creation(self) -> None:
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"""Benchmark creating and configuring a mock service."""
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svc = MagicMock()
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svc.create_action.return_value = _mock_action()
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svc.get_action_by_name.return_value = _mock_action()
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svc.use_action.return_value = _mock_plan()
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def time_changeset_store_creation(self) -> None:
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"""Benchmark creating an InMemoryChangeSetStore and starting a changeset."""
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store = InMemoryChangeSetStore()
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store.start(_PLAN_ULID)
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def time_changeset_entry_recording(self) -> None:
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"""Benchmark recording a change entry in the store."""
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store = InMemoryChangeSetStore()
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cid = store.start(_PLAN_ULID)
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store.record(
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cid,
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ChangeEntry(
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plan_id=_PLAN_ULID,
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resource_id="res-bench",
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tool_name="builtin/file-write",
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operation=ChangeOperation.CREATE,
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path="src/bench.py",
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),
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)
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class CLIRobotLifecycleSuite:
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"""Benchmark the full CLI lifecycle flow with mocked service."""
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def setup(self) -> None:
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"""Prepare mock service and YAML file."""
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self._mock_service = MagicMock()
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self._mock_service.create_action.return_value = _mock_action()
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self._mock_service.get_action_by_name.return_value = _mock_action()
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self._mock_service.use_action.return_value = _mock_plan()
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self._mock_service.execute_plan.return_value = _mock_plan(
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phase=PlanPhase.EXECUTE, state=ProcessingState.QUEUED
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)
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self._mock_service.apply_plan.return_value = _mock_plan(
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phase=PlanPhase.APPLY, state=ProcessingState.QUEUED
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)
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fd, self._yaml_path = tempfile.mkstemp(suffix=".yaml")
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with os.fdopen(fd, "w") as fh:
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fh.write(_VALID_YAML)
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self._action_patcher = patch(
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"cleveragents.cli.commands.action._get_lifecycle_service",
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return_value=self._mock_service,
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)
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self._plan_patcher = patch(
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"cleveragents.cli.commands.plan._get_lifecycle_service",
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return_value=self._mock_service,
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)
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self._action_patcher.start()
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self._plan_patcher.start()
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def teardown(self) -> None:
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"""Clean up patchers and temp file."""
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self._action_patcher.stop()
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self._plan_patcher.stop()
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Path(self._yaml_path).unlink(missing_ok=True)
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def time_action_create(self) -> None:
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"""Benchmark action create via CLI."""
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_runner.invoke(action_app, ["create", "--config", self._yaml_path])
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def time_plan_use(self) -> None:
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"""Benchmark plan use via CLI."""
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_runner.invoke(plan_app, ["use", "local/bench-lifecycle-action", "proj-bench"])
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def time_plan_execute(self) -> None:
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"""Benchmark plan execute via CLI."""
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_runner.invoke(plan_app, ["execute", _PLAN_ULID])
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def time_plan_apply(self) -> None:
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"""Benchmark plan lifecycle-apply via CLI."""
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_runner.invoke(plan_app, ["lifecycle-apply", _PLAN_ULID])
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def time_full_lifecycle_flow(self) -> None:
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"""Benchmark the full create -> use -> execute -> apply flow."""
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_runner.invoke(action_app, ["create", "--config", self._yaml_path])
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_runner.invoke(plan_app, ["use", "local/bench-lifecycle-action", "proj-bench"])
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_runner.invoke(plan_app, ["execute", _PLAN_ULID])
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_runner.invoke(plan_app, ["lifecycle-apply", _PLAN_ULID])
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