mirror of
https://github.com/rennf93/roboco.git
synced 2026-08-03 07:23:24 +02:00
363 lines
12 KiB
Python
363 lines
12 KiB
Python
"""Scenario: the Scales (Board Program) loop end to end.
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Mirrors test_pest_control_loop.py's arm -> originate -> dedup -> approve
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shape (org-scoped like Periscope: no per-project opt-in is needed to RUN,
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but the exploration task's project_id still resolves against the RoboCo
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project) AND test_periscope_loop.py's do_server wiring-regression check +
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real-route propose call. The genuinely new piece: a rebalance item targets a
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LIVE task, and approving it EXECUTES the action (reprioritize or cancel)
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against that task — never materializes a new one.
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any
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from uuid import UUID, uuid4
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from roboco.foundation import identity as _foundation
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from tests.e2e_smoke.harness import ScriptedAgent, expect_ok
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if TYPE_CHECKING:
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from sqlalchemy.ext.asyncio import AsyncSession
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from tests.e2e_smoke.harness import E2EStack
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ONE = 1
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ZERO = 0
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TWO = 2
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def _seed_system_and_po(stack: E2EStack) -> tuple[str, Any]:
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"""Seed ``system`` + ``product-owner`` at their FIXED foundation UUIDs,
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plus a project those two own — mirrors test_periscope_loop.py's
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``_seed_system_and_hom``: the exploration task's ``project_id`` resolves
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against this project (the RoboCo-project FK anchor every org-scoped
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program's task still needs). Returns (project slug, project id).
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"""
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from roboco.db.tables import AgentTable, ProjectTable
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from roboco.models import AgentRole, AgentStatus, Team
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slug = f"e2e-scales-{uuid4().hex[:8]}"
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project_id = uuid4()
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async def _run(session: AsyncSession) -> None:
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for agent_uuid, agent_slug, role, team in (
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(_foundation.AGENTS["system"].uuid, "system", AgentRole.SYSTEM, None),
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(
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_foundation.AGENTS["product-owner"].uuid,
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"product-owner",
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AgentRole.PRODUCT_OWNER,
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Team.BOARD,
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),
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):
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if await session.get(AgentTable, agent_uuid) is not None:
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continue
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session.add(
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AgentTable(
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id=agent_uuid,
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name=agent_slug,
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slug=agent_slug,
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role=role,
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team=team,
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status=AgentStatus.ACTIVE,
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model_config={},
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system_prompt=agent_slug,
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capabilities=[],
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permissions={},
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metrics={},
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)
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)
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session.add(
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ProjectTable(
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id=project_id,
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name="RoboCo",
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slug=slug,
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git_url="https://example.com/roboco.git",
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default_branch="master",
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protected_branches=["master"],
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assigned_cell=Team.BACKEND,
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created_by=_foundation.AGENTS["system"].uuid,
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is_active=True,
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)
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)
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stack.run_db(_run)
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return slug, project_id
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def _seed_target_task(
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stack: E2EStack, project_id: Any, *, title: str, priority: int = 2
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) -> Any:
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from roboco.db.tables import TaskTable
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from roboco.models import Team
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from roboco.models.base import Complexity, TaskNature, TaskStatus, TaskType
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task_id = uuid4()
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async def _run(session: AsyncSession) -> None:
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session.add(
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TaskTable(
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id=task_id,
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title=title,
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description="A live backlog task the rebalance plan targets",
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acceptance_criteria=["done"],
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status=TaskStatus.BACKLOG,
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priority=priority,
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task_type=TaskType.CODE,
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nature=TaskNature.TECHNICAL,
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estimated_complexity=Complexity.LOW,
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created_by=_foundation.AGENTS["system"].uuid,
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project_id=project_id,
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team=Team.BACKEND,
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)
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)
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stack.run_db(_run)
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return task_id
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def _arm(stack: E2EStack, project_slug: str) -> None:
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"""Arm via the settings-store key — the ONLY arming path (no legacy env
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flag exists for scales) — and point ``self_heal_project_slug`` at the
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seeded project (the RoboCo-project resolution roadmap/periscope share)."""
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from roboco.config import settings as cfg
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from roboco.db.tables import SystemSettingTable
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cfg.self_heal_project_slug = project_slug
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async def _run(session: AsyncSession) -> None:
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session.add(
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SystemSettingTable(key="board_program.scales.enabled", value="true")
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)
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stack.run_db(_run)
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def _run_due_programs(stack: E2EStack) -> list[str]:
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from roboco.services.board_programs import get_board_program_engine
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async def _run(session: AsyncSession) -> list[str]:
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return await get_board_program_engine(session).run_due_programs()
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result: list[str] = stack.run_db(_run)
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return result
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def _find_scales_task(stack: E2EStack) -> dict[str, Any]:
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from roboco.db.tables import TaskTable
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from roboco.services.task import SCALES_SOURCE
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from sqlalchemy import select
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async def _run(session: AsyncSession) -> dict[str, Any]:
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rows = (
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(
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await session.execute(
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select(TaskTable).where(TaskTable.source == SCALES_SOURCE)
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)
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)
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.scalars()
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.all()
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)
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return {
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"count": len(rows),
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"rows": [
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{
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"id": r.id,
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"status": str(r.status),
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"assigned_to": r.assigned_to,
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"source": r.source,
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"confirmed_by_human": r.confirmed_by_human,
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}
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for r in rows
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],
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}
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state: dict[str, Any] = stack.run_db(_run)
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return state
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def _cycle_counters(stack: E2EStack) -> dict[str, Any]:
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from roboco.db.tables import BoardProgramCycleTable
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from sqlalchemy import select
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async def _run(session: AsyncSession) -> dict[str, Any]:
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row = (
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(
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await session.execute(
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select(BoardProgramCycleTable)
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.where(BoardProgramCycleTable.program_key == "scales")
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.order_by(BoardProgramCycleTable.opened_at.desc())
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.limit(1)
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)
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)
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.scalars()
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.first()
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)
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assert row is not None
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return {
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"items_proposed": row.items_proposed,
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"items_approved": row.items_approved,
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"items_rejected": row.items_rejected,
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}
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state: dict[str, Any] = stack.run_db(_run)
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return state
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def _approve_item(stack: E2EStack, task_id: Any, item_id: str, ceo_id: Any) -> str:
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from roboco.services.scales_service import get_scales_service
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async def _run(session: AsyncSession) -> str:
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result = await get_scales_service(session).approve_item(
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task_id, item_id, created_by=ceo_id
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)
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assert result is not None
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return result.status
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status: str = stack.run_db(_run)
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return status
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def _target_state(stack: E2EStack, task_id: Any) -> dict[str, Any]:
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from roboco.db.tables import TaskTable
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from sqlalchemy import select
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async def _run(session: AsyncSession) -> dict[str, Any]:
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row = (
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await session.execute(select(TaskTable).where(TaskTable.id == task_id))
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).scalar_one()
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return {"status": str(row.status), "priority": row.priority}
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state: dict[str, Any] = stack.run_db(_run)
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return state
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def test_scales_loop_originates_dedups_proposes_and_executes(
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e2e_stack: E2EStack,
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) -> None:
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stack = e2e_stack
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project_slug, project_id = _seed_system_and_po(stack)
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_arm(stack, project_slug)
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reprioritize_target = _seed_target_task(
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stack, project_id, title="Stale onboarding polish", priority=2
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)
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cancel_target = _seed_target_task(
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stack, project_id, title="Dead-weight experiment", priority=2
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)
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opened = _run_due_programs(stack)
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assert opened == ["scales"], opened
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state = _find_scales_task(stack)
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assert state["count"] == ONE, state
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row = state["rows"][0]
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assert row["status"] == "pending"
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assert row["assigned_to"] == _foundation.AGENTS["product-owner"].uuid
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assert row["confirmed_by_human"] is False
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# The dispatcher's own dev-work skip recognizes this exact task shape —
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# board_scales is board-dispatched (one-shot PO spawn), never handed to
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# the generic dev dispatch loop's give_me_work/claim path.
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from roboco.runtime.orchestrator import _is_non_dev_dispatch_source
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assert _is_non_dev_dispatch_source({"source": row["source"]}) is True
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# Second tick: the open cycle blocks re-origination — no second task.
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opened_again = _run_due_programs(stack)
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assert opened_again == [], opened_again
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state_after = _find_scales_task(stack)
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assert state_after["count"] == ONE, state_after
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# The Product Owner authors the plan through the REAL do_server module +
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# /api/v1/do/propose_rebalance route + ContentActions + SCALES service
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# wiring — the same wiring-regression class check test_periscope_loop.py
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# guards (a verb granted in role_config but missing from do_server._TOOLS
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# is unreachable over MCP).
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po = ScriptedAgent(
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stack,
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_foundation.AGENTS["product-owner"].uuid,
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"product-owner",
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"product_owner",
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)
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do_module = po._module("roboco.mcp.do_server")
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assert "propose_rebalance" in do_module._TOOLS, (
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"propose_rebalance missing from do_server._TOOLS — the MCP server "
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"has no way to expose it to any role"
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)
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assert "propose_rebalance" in do_module._REGISTERED_TOOLS, (
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"propose_rebalance is granted to product_owner in role_config but "
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"absent from this agent's _register_tools() output — the manifest "
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"-> _register_tools -> callable chain dropped it"
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)
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env = expect_ok(
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po.do(
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"propose_rebalance",
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items=[
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{
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"task_ref": str(reprioritize_target)[:8],
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"action": "reprioritize",
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"new_priority": 0,
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"rationale": (
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"Onboarding friction is this quarter's top charter goal"
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),
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},
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{
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"task_ref": str(cancel_target)[:8],
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"action": "cancel",
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"rationale": (
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"Superseded by the new dashboard; no longer on the roadmap"
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),
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},
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],
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),
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"po propose_rebalance",
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)
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assert env.get("status") == "rebalance_proposed", env
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task_id = UUID(env["task_id"])
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assert task_id == row["id"]
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# Approving each item EXECUTES its action against the live target task —
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# neither materializes a new task.
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ceo_id = _foundation.AGENTS["ceo"].uuid
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from roboco.db.tables import AgentTable
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from roboco.models import AgentRole, AgentStatus
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async def _seed_ceo(session: AsyncSession) -> None:
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if await session.get(AgentTable, ceo_id) is not None:
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return
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session.add(
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AgentTable(
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id=ceo_id,
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name="ceo",
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slug="ceo",
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role=AgentRole.CEO,
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team=None,
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status=AgentStatus.ACTIVE,
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model_config={},
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system_prompt="ceo",
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capabilities=[],
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permissions={},
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metrics={},
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)
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)
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stack.run_db(_seed_ceo)
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reprioritize_status = _approve_item(stack, task_id, "item-0", ceo_id)
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assert reprioritize_status == "approved"
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cancel_status = _approve_item(stack, task_id, "item-1", ceo_id)
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assert cancel_status == "approved"
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reprioritize_state = _target_state(stack, reprioritize_target)
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assert reprioritize_state["status"] == "backlog"
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assert reprioritize_state["priority"] == 0
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cancel_state = _target_state(stack, cancel_target)
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assert cancel_state["status"] == "cancelled"
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counters = _cycle_counters(stack)
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assert counters["items_proposed"] == TWO
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assert counters["items_approved"] == TWO
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assert counters["items_rejected"] == ZERO
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