Monitor stazioni: GET /api/production-runs/open (#57)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
This commit is contained in:
@@ -20,7 +20,8 @@ from src.backend.models.api.production import (
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)
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from src.backend.models.orm.production import ProductionRun
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from src.backend.models.orm.user import User
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from src.backend.services import auth_service, production_service
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from src.backend.models.api.monitor import MonitorRun
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from src.backend.services import auth_service, monitor_service, production_service
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router = APIRouter(prefix="/api/production-runs", tags=["production"])
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@@ -81,6 +82,27 @@ async def get_current_production_run(
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return await _as_response(db, run) if run is not None else None
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async def _require_high_authority(user: User = Depends(get_current_user)) -> User:
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"""Monitor of all stations (#57): admin or Supervisor (capoturno) only."""
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if user.is_admin or user.has_role("Supervisor"):
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return user
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raise HTTPException(
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status_code=status.HTTP_403_FORBIDDEN, detail="Supervisor role required",
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)
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@router.get("/open", response_model=list[MonitorRun])
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async def list_open_production_runs(
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user: User = Depends(_require_high_authority),
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db: AsyncSession = Depends(get_db),
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):
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"""Every open run with timer, last event and recent measurements (#57).
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Declared before /{run_id} so "open" is not parsed as a run id.
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"""
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return await monitor_service.list_open_runs(db)
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@router.get("/{run_id}", response_model=ProductionRunWithEventsResponse)
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async def get_production_run(
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run_id: int,
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@@ -0,0 +1,49 @@
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"""API models for the live station monitor (#57)."""
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from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel
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class MonitorSubtask(BaseModel):
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"""Mean of the recent measurements of one quote, against its tolerance."""
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subtask_id: int
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description: str
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unit: str
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count: int
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mean: float
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ltl: Optional[float] = None
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utl: Optional[float] = None
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# True when ltl <= mean <= utl (a missing limit does not constrain).
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in_tolerance: bool
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class MonitorEvent(BaseModel):
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event_type: str
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created_at: datetime
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note: Optional[str] = None
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class MonitorRun(BaseModel):
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id: int
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station_code: str
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station_name: str
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recipe_code: str
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recipe_name: str
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version_number: int
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operator: str
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status: str
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started_at: datetime
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duration_seconds: int
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cycle_count: int
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seconds_to_next_measurement: Optional[int] = None
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overdue: bool
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last_event: Optional[MonitorEvent] = None
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# Counts over the last MONITOR_WINDOW measurements of the run.
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measured: int
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pass_count: int
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warning_count: int
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fail_count: int
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subtasks: list[MonitorSubtask]
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server_time: datetime
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@@ -0,0 +1,133 @@
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"""Live monitor of the open production runs (#57).
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One query per table, whatever the number of runs: measurements and last events are
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ranked per run with a window function and cut in the database, not in a loop.
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"""
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from collections import defaultdict
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from sqlalchemy import func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from src.backend.models.api.monitor import MonitorEvent, MonitorRun, MonitorSubtask
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from src.backend.models.orm.measurement import Measurement
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from src.backend.models.orm.production import ProductionEvent, ProductionRun
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from src.backend.models.orm.task import RecipeSubtask
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from src.backend.models.orm.user import User
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from src.backend.services import production_service
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# Recent measurements per run that feed counts and means (#57: last N).
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MONITOR_WINDOW = 20
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def _in_tolerance(mean: float, ltl, utl) -> bool:
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# A missing limit does not constrain.
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if ltl is not None and mean < float(ltl):
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return False
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if utl is not None and mean > float(utl):
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return False
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return True
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async def list_open_runs(db: AsyncSession) -> list[MonitorRun]:
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runs = (await db.execute(
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select(ProductionRun)
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.where(ProductionRun.status.in_(("running", "paused")))
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.order_by(ProductionRun.started_at)
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)).scalars().all()
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if not runs:
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return []
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run_ids = [r.id for r in runs]
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# Operators: one query.
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users = {
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u.id: u for u in (await db.execute(
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select(User).where(User.id.in_({r.operator_id for r in runs}))
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)).scalars().all()
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}
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# Last event per run: rank desc inside the run, keep rank 1.
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ev_rank = func.row_number().over(
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partition_by=ProductionEvent.run_id,
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order_by=(ProductionEvent.created_at.desc(), ProductionEvent.id.desc()),
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).label("rn")
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ev_sub = select(
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ProductionEvent.run_id.label("run_id"),
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ProductionEvent.event_type.label("event_type"),
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ProductionEvent.created_at.label("created_at"),
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ProductionEvent.note.label("note"),
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ev_rank,
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).where(ProductionEvent.run_id.in_(run_ids)).subquery()
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ev_rows = (await db.execute(
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select(ev_sub.c.run_id, ev_sub.c.event_type, ev_sub.c.created_at, ev_sub.c.note)
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.where(ev_sub.c.rn == 1)
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)).all()
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last_event = {r.run_id: r for r in ev_rows}
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# Last N measurements per run, joined to their subtask for the limits.
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m_rank = func.row_number().over(
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partition_by=Measurement.production_run_id,
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order_by=(Measurement.measured_at.desc(), Measurement.id.desc()),
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).label("rn")
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m_sub = select(
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Measurement.production_run_id.label("run_id"),
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Measurement.subtask_id.label("subtask_id"),
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Measurement.value.label("value"),
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Measurement.pass_fail.label("pass_fail"),
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m_rank,
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).where(Measurement.production_run_id.in_(run_ids)).subquery()
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m_rows = (await db.execute(
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select(
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m_sub.c.run_id, m_sub.c.subtask_id, m_sub.c.value, m_sub.c.pass_fail,
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RecipeSubtask.description, RecipeSubtask.unit,
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RecipeSubtask.ltl, RecipeSubtask.utl,
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)
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.join(RecipeSubtask, RecipeSubtask.id == m_sub.c.subtask_id)
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.where(m_sub.c.rn <= MONITOR_WINDOW)
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)).all()
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by_run = defaultdict(list)
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for row in m_rows:
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by_run[row.run_id].append(row)
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result = []
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for run in runs:
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rows = by_run.get(run.id, [])
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per_sub: dict[int, list] = defaultdict(list)
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for row in rows:
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per_sub[row.subtask_id].append(row)
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subtasks = []
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for sid, group in sorted(per_sub.items()):
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mean = sum(float(g.value) for g in group) / len(group)
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first = group[0]
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subtasks.append(MonitorSubtask(
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subtask_id=sid, description=first.description, unit=first.unit,
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count=len(group), mean=round(mean, 6),
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ltl=float(first.ltl) if first.ltl is not None else None,
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utl=float(first.utl) if first.utl is not None else None,
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in_tolerance=_in_tolerance(mean, first.ltl, first.utl),
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))
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timer = production_service.describe(run)
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ev = last_event.get(run.id)
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operator = users.get(run.operator_id)
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result.append(MonitorRun(
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id=run.id,
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station_code=run.station.code, station_name=run.station.name,
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recipe_code=run.recipe.code, recipe_name=run.recipe.name,
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version_number=run.version.version_number,
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operator=(operator.display_name or operator.username) if operator else "",
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status=run.status,
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started_at=run.started_at,
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duration_seconds=max(0, int((timer["server_time"] - run.started_at).total_seconds())),
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cycle_count=run.cycle_count,
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seconds_to_next_measurement=timer["seconds_to_next_measurement"],
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overdue=timer["overdue"],
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last_event=MonitorEvent(
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event_type=ev.event_type, created_at=ev.created_at, note=ev.note,
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) if ev else None,
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measured=len(rows),
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pass_count=sum(1 for g in rows if g.pass_fail == "pass"),
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warning_count=sum(1 for g in rows if g.pass_fail == "warning"),
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fail_count=sum(1 for g in rows if g.pass_fail == "fail"),
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subtasks=subtasks,
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server_time=timer["server_time"],
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))
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return result
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@@ -0,0 +1,83 @@
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"""GET /api/production-runs/open - live monitor of the open runs (#57)."""
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from datetime import datetime, timedelta
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from sqlalchemy import select
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from src.backend.models.orm.measurement import Measurement
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from src.backend.models.orm.production import ProductionEvent, ProductionRun
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from src.backend.models.orm.station import Station
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from src.backend.models.orm.task import RecipeSubtask, RecipeTask
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from src.backend.tests.conftest import _create_user, auth_headers, create_test_recipe
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async def _run(db, user, code, status="running", overdue=False, open_=True):
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"""A station plus a run on a fresh recipe (limits ltl 9.5 / utl 10.5)."""
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station = Station(code=f"ST-{code}", name=f"Linea {code}", active=True, created_by=user.id)
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db.add(station)
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recipe = await create_test_recipe(db, user_id=user.id, code=f"REC-{code}")
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await db.flush()
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version = recipe.versions[0]
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now = datetime.utcnow()
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run = ProductionRun(
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station_id=station.id, recipe_id=recipe.id, version_id=version.id,
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operator_id=user.id, status=status if open_ else "closed",
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started_at=now - timedelta(hours=1),
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measurement_interval_minutes=30,
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next_measurement_at=now + (timedelta(minutes=-5) if overdue else timedelta(minutes=20)),
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cycle_count=3,
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active_station_id=station.id if open_ else None,
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)
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db.add(run)
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await db.flush()
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db.add(ProductionEvent(run_id=run.id, event_type="start", user_id=user.id))
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sub = (await db.execute(
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select(RecipeSubtask).join(RecipeTask, RecipeTask.id == RecipeSubtask.task_id)
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.where(RecipeTask.version_id == version.id)
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)).scalars().first()
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return run, sub, version
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def _m(run, sub, version, user, value, pf, minutes=0):
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return Measurement(
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subtask_id=sub.id, version_id=version.id, measured_by=user.id, value=value,
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pass_fail=pf, production_run_id=run.id,
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measured_at=datetime.utcnow() - timedelta(minutes=minutes),
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)
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async def test_open_requires_high_authority(client, db_session, measurement_tec_user):
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resp = await client.get("/api/production-runs/open", headers=auth_headers(measurement_tec_user))
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assert resp.status_code == 403
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async def test_open_lists_only_open_runs_with_means(client, db_session, admin_user):
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sup = await _create_user(db_session, "capo", roles=["Supervisor"])
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r1, s1, v1 = await _run(db_session, admin_user, "A", overdue=True)
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r2, s2, v2 = await _run(db_session, admin_user, "B", status="paused")
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await _run(db_session, admin_user, "C", open_=False)
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# Run A: mean 10.0 (inside), run B: mean 10.8 (outside, one fail).
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for i, (val, pf) in enumerate([(9.9, "pass"), (10.1, "pass")]):
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db_session.add(_m(r1, s1, v1, admin_user, val, pf, i))
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for i, (val, pf) in enumerate([(10.6, "fail"), (11.0, "fail"), (10.8, "warning")]):
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db_session.add(_m(r2, s2, v2, admin_user, val, pf, i))
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await db_session.commit()
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resp = await client.get("/api/production-runs/open", headers=auth_headers(sup))
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assert resp.status_code == 200
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body = {r["station_code"]: r for r in resp.json()}
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assert set(body) == {"ST-A", "ST-B"} # closed run C is absent
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a, b = body["ST-A"], body["ST-B"]
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assert a["overdue"] is True and a["seconds_to_next_measurement"] < 0
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assert b["overdue"] is False and b["status"] == "paused"
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assert a["duration_seconds"] >= 3600 and a["cycle_count"] == 3
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assert a["last_event"]["event_type"] == "start"
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assert a["pass_count"] == 2 and a["fail_count"] == 0
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assert a["subtasks"][0]["mean"] == 10.0 and a["subtasks"][0]["in_tolerance"] is True
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assert b["fail_count"] == 2 and b["warning_count"] == 1
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assert round(b["subtasks"][0]["mean"], 3) == 10.8
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assert b["subtasks"][0]["in_tolerance"] is False
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async def test_open_empty_for_admin(client, admin_user):
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resp = await client.get("/api/production-runs/open", headers=auth_headers(admin_user))
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assert resp.status_code == 200 and resp.json() == []
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