Compare commits
4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| f986c172c2 | |||
| accf416cc9 | |||
| 84a4b5f34d | |||
| 9238f8926b |
@@ -92,6 +92,8 @@ SESSION_COOKIE_SECURE=true
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VISION_RUN_TIMEOUT_S=100
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# Quante esecuzioni di visione in parallelo accetta il worker.
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VISION_MAX_CONCURRENCY=2
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# #46: radice sotto cui il worker legge le cartelle ricetta (recipe_dir relativo).
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VISION_RECIPES_ROOT=/app/uploads
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# --- Docker ---
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# DB_ROOT_PASSWORD: in produzione (docker-compose.yml) obbligatoria, senza default.
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@@ -289,6 +289,8 @@ Nginx (dev): gzip abilitato, `client_max_body_size 50M`, `proxy_read_timeout 120
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Il runner di visione (`src/vision/`) e il suo worker FastAPI (`src/vision_worker/`) dipendono da `vendor/visionsuite`, un **submodule** su `ssh://git.tielogic.xyz:222`: un `git clone` senza `--recurse-submodules` lascia la cartella vuota (chi ha già clonato: `git submodule update --init`). Le librerie di VisionSuite richiedono **Python 3.13**, mentre backend e frontend restano su Python 3.11 — è un albero a parte nel monorepo, isolato con il proprio extra `uv`.
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Regola (Adriano, 07/10/2026): il submodule `vendor/visionsuite` segue `origin/main`: a ogni integrazione si porta all'ultimo commit (`git -C vendor/visionsuite fetch origin && git -C vendor/visionsuite checkout origin/main`) e si rilanciano i test della visione. Pin attuale: bc0df16.
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Il worker gira in un container separato (`Dockerfile.vision`), non pubblica porte verso l'esterno ed è raggiungibile solo dal server all'indirizzo interno `http://vision:8100`. Il container non ha accesso al repository Git del progetto principale, quindi il commit di VisionSuite in uso (`engine_version`) non può essere scoperto dentro l'immagine: va stampato al momento del build leggendo il commit dalla macchina che esegue `docker compose build`, con la variabile `VISION_ENGINE_VERSION`. Una build senza questa variabile fallisce subito, invece di produrre un worker che risponde con una versione indovinata:
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```bash
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@@ -71,6 +71,9 @@ services:
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VISION_ENGINE_VERSION: ${VISION_ENGINE_VERSION:-}
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container_name: tmflow-vision
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restart: unless-stopped
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environment:
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# #46: radice delle cartelle ricetta (volume uploads, sola lettura)
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VISION_RECIPES_ROOT: /app/uploads
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volumes:
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- upload_data:/app/uploads:ro
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healthcheck:
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@@ -63,6 +63,8 @@ vision = [
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"vs-task; python_version>='3.13'",
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"vs-measure; python_version>='3.13'",
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"vs-pm2d; python_version>='3.13'",
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# #46: tutti gli strumenti della suite (locate/MatchPattern e dxf/CompareDxf)
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"vs-tools[locate,dxf]; python_version>='3.13'",
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"numpy; python_version>='3.13'",
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]
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@@ -101,6 +103,8 @@ visionsuite = { path = "vendor/visionsuite/packages/vs-core", editable = true }
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vs-task = { path = "vendor/visionsuite/packages/vs-task", editable = true }
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vs-measure = { path = "vendor/visionsuite/packages/vs-measure", editable = true }
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vs-pm2d = { path = "vendor/visionsuite/packages/vs-pm2d", editable = true }
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vs-tools = { path = "vendor/visionsuite/packages/vs-tools", editable = true } # #46
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vs-dxf = { path = "vendor/visionsuite/packages/vs-dxf", editable = true } # #46
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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@@ -20,8 +20,7 @@ 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.models.api.monitor import MonitorRun
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from src.backend.services import auth_service, monitor_service, production_service
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from src.backend.services import auth_service, production_service
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router = APIRouter(prefix="/api/production-runs", tags=["production"])
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@@ -82,27 +81,6 @@ 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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@@ -1,49 +0,0 @@
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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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@@ -1,133 +0,0 @@
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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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@@ -1,83 +0,0 @@
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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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|
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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
|
||||
assert b["overdue"] is False and b["status"] == "paused"
|
||||
assert a["duration_seconds"] >= 3600 and a["cycle_count"] == 3
|
||||
assert a["last_event"]["event_type"] == "start"
|
||||
assert a["pass_count"] == 2 and a["fail_count"] == 0
|
||||
assert a["subtasks"][0]["mean"] == 10.0 and a["subtasks"][0]["in_tolerance"] is True
|
||||
assert b["fail_count"] == 2 and b["warning_count"] == 1
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||||
assert round(b["subtasks"][0]["mean"], 3) == 10.8
|
||||
assert b["subtasks"][0]["in_tolerance"] is False
|
||||
|
||||
|
||||
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))
|
||||
assert resp.status_code == 200 and resp.json() == []
|
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@@ -74,14 +74,12 @@ def create_app() -> Flask:
|
||||
from blueprints.maker import maker_bp
|
||||
from blueprints.statistics import statistics_bp
|
||||
from blueprints.admin import admin_bp
|
||||
from blueprints.monitor import monitor_bp # #57 live station monitor
|
||||
|
||||
app.register_blueprint(auth_bp)
|
||||
app.register_blueprint(measure_bp, url_prefix="/measure")
|
||||
app.register_blueprint(maker_bp, url_prefix="/maker")
|
||||
app.register_blueprint(statistics_bp, url_prefix="/statistics")
|
||||
app.register_blueprint(admin_bp, url_prefix="/admin")
|
||||
app.register_blueprint(monitor_bp, url_prefix="/monitor") # #57
|
||||
|
||||
@app.before_request
|
||||
def _check_secret_key():
|
||||
|
||||
@@ -1,45 +0,0 @@
|
||||
"""Live monitor of the open production runs (#57).
|
||||
|
||||
Page at /monitor for admin and Supervisor (capoturno); the page polls a JSON proxy
|
||||
of GET /api/production-runs/open every 10 seconds.
|
||||
"""
|
||||
from functools import wraps
|
||||
|
||||
from flask import Blueprint, abort, jsonify, render_template, session
|
||||
|
||||
from blueprints.auth import login_required
|
||||
from services.api_client import api_client
|
||||
|
||||
monitor_bp = Blueprint("monitor", __name__)
|
||||
|
||||
|
||||
def monitor_required(f):
|
||||
"""Admin or Supervisor only: the same people the backend lets read /open."""
|
||||
@wraps(f)
|
||||
def decorated(*args, **kwargs):
|
||||
user = session.get("user", {})
|
||||
if not (user.get("is_admin") or "Supervisor" in user.get("roles", [])):
|
||||
abort(403)
|
||||
return f(*args, **kwargs)
|
||||
return decorated
|
||||
|
||||
|
||||
@monitor_bp.route("", strict_slashes=False)
|
||||
@login_required
|
||||
@monitor_required
|
||||
def index():
|
||||
return render_template("monitor/index.html")
|
||||
|
||||
|
||||
@monitor_bp.route("/api/runs")
|
||||
@login_required
|
||||
@monitor_required
|
||||
def api_runs():
|
||||
"""JSON proxy polled by the page."""
|
||||
resp = api_client.get("/api/production-runs/open")
|
||||
if isinstance(resp, dict) and resp.get("error"):
|
||||
body = {"error": True, "detail": resp.get("detail", "")}
|
||||
if resp.get("session_expired"):
|
||||
body["session_expired"] = True
|
||||
return jsonify(body), resp.get("status_code", 500)
|
||||
return jsonify(resp)
|
||||
@@ -1,105 +0,0 @@
|
||||
{% extends "base.html" %}
|
||||
|
||||
{% block title %}{{ _("Monitor stazioni") }} — TieMeasureFlow{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div class="tmf-page" x-data="stationMonitor()" x-init="init()">
|
||||
<div class="mb-6 flex items-center justify-between">
|
||||
<div>
|
||||
<h1 class="text-2xl font-bold text-[var(--text-primary)]">{{ _("Monitor stazioni") }}</h1>
|
||||
<p class="text-sm text-steel mt-1">{{ _("Produzioni aperte, aggiornate ogni 10 secondi") }}</p>
|
||||
</div>
|
||||
<div class="text-xs text-steel" x-text="updatedLabel"></div>
|
||||
</div>
|
||||
|
||||
<div x-show="error" class="mb-4 p-3 rounded-lg bg-red-50 text-red-700 text-sm" x-text="error"></div>
|
||||
|
||||
<div x-show="loaded && runs.length === 0 && !error"
|
||||
class="p-8 text-center text-steel bg-[var(--bg-secondary)] rounded-xl border border-[var(--border-color)]">
|
||||
{{ _("Nessuna stazione in produzione") }}
|
||||
</div>
|
||||
|
||||
<div class="grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 gap-4">
|
||||
<template x-for="r in runs" :key="r.id">
|
||||
<div class="bg-[var(--bg-secondary)] rounded-xl border border-[var(--border-color)] border-l-8 shadow-sm p-4"
|
||||
:class="borderClass(r)">
|
||||
<div class="flex items-start justify-between gap-2">
|
||||
<div>
|
||||
<div class="text-lg font-bold text-[var(--text-primary)]" x-text="r.station_code + ' — ' + r.station_name"></div>
|
||||
<div class="text-sm text-steel" x-text="r.recipe_code + ' ' + r.recipe_name + ' (v' + r.version_number + ')'"></div>
|
||||
</div>
|
||||
<span class="text-xs font-semibold px-2 py-1 rounded"
|
||||
:class="r.overdue ? 'bg-red-600 text-white animate-pulse' : 'bg-gray-200 text-gray-700'"
|
||||
x-text="statusLabel(r)"></span>
|
||||
</div>
|
||||
|
||||
<dl class="mt-3 grid grid-cols-2 gap-x-3 gap-y-1 text-sm">
|
||||
<dt class="text-steel">{{ _("Operatore") }}</dt><dd x-text="r.operator"></dd>
|
||||
<dt class="text-steel">{{ _("Avviata alle") }}</dt><dd x-text="startedAt(r)"></dd>
|
||||
<dt class="text-steel">{{ _("Durata") }}</dt><dd x-text="fmt(r.duration_seconds)"></dd>
|
||||
<dt class="text-steel">{{ _("Cicli") }}</dt><dd x-text="r.cycle_count"></dd>
|
||||
<dt class="text-steel">{{ _("Prossima misura") }}</dt>
|
||||
<dd :class="r.overdue ? 'text-red-600 font-bold' : ''" x-text="timerLabel(r)"></dd>
|
||||
<dt class="text-steel">{{ _("Ultimo evento") }}</dt>
|
||||
<dd x-text="r.last_event ? r.last_event.event_type : '-'"></dd>
|
||||
</dl>
|
||||
|
||||
<div class="mt-3 flex gap-2 text-xs font-semibold">
|
||||
<span class="px-2 py-1 rounded bg-green-100 text-green-800" x-text="'OK ' + r.pass_count"></span>
|
||||
<span class="px-2 py-1 rounded bg-yellow-100 text-yellow-800" x-text="'{{ _("Avviso") }} ' + r.warning_count"></span>
|
||||
<span class="px-2 py-1 rounded bg-red-100 text-red-800" x-text="'NOK ' + r.fail_count"></span>
|
||||
</div>
|
||||
|
||||
<ul class="mt-3 space-y-1 text-sm">
|
||||
<template x-for="s in r.subtasks" :key="s.subtask_id">
|
||||
<li class="flex justify-between gap-2">
|
||||
<span class="truncate" x-text="s.description"></span>
|
||||
<span class="font-mono whitespace-nowrap"
|
||||
:class="s.in_tolerance ? 'text-green-700' : 'text-red-700 font-bold'"
|
||||
x-text="s.mean.toFixed(3) + ' ' + s.unit"></span>
|
||||
</li>
|
||||
</template>
|
||||
</ul>
|
||||
</div>
|
||||
</template>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
function stationMonitor() {
|
||||
return {
|
||||
runs: [], loaded: false, error: '', updatedLabel: '',
|
||||
init() { this.load(); setInterval(() => this.load(), 10000); },
|
||||
async load() {
|
||||
try {
|
||||
const resp = await fetch('/monitor/api/runs');
|
||||
const data = await resp.json();
|
||||
if (!resp.ok || data.error) { this.error = data.detail || {{ _("Errore di caricamento")|tojson }}; return; }
|
||||
this.runs = data; this.error = ''; this.loaded = true;
|
||||
this.updatedLabel = new Date().toLocaleTimeString();
|
||||
} catch (e) { this.error = {{ _("Errore di rete")|tojson }}; }
|
||||
},
|
||||
// Green in tolerance, yellow with warnings, red with fails or a mean out of tolerance.
|
||||
borderClass(r) {
|
||||
if (r.fail_count > 0 || r.subtasks.some(s => !s.in_tolerance)) return 'border-l-red-600';
|
||||
if (r.warning_count > 0) return 'border-l-yellow-500';
|
||||
return 'border-l-green-600';
|
||||
},
|
||||
statusLabel(r) {
|
||||
if (r.overdue) return {{ _("IN RITARDO")|tojson }};
|
||||
return r.status === 'paused' ? {{ _("In pausa")|tojson }} : {{ _("In corso")|tojson }};
|
||||
},
|
||||
startedAt(r) { return new Date(r.started_at + 'Z').toLocaleTimeString(); },
|
||||
timerLabel(r) {
|
||||
if (r.seconds_to_next_measurement === null) return '-';
|
||||
const s = r.seconds_to_next_measurement;
|
||||
return (s < 0 ? '-' : '') + this.fmt(Math.abs(s));
|
||||
},
|
||||
fmt(sec) {
|
||||
const h = Math.floor(sec / 3600), m = Math.floor((sec % 3600) / 60), s = sec % 60;
|
||||
return (h ? h + 'h ' : '') + m + 'm ' + String(s).padStart(2, '0') + 's';
|
||||
},
|
||||
};
|
||||
}
|
||||
</script>
|
||||
{% endblock %}
|
||||
@@ -1,46 +0,0 @@
|
||||
"""Live station monitor page and JSON proxy (#57)."""
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_api():
|
||||
with patch("blueprints.monitor.api_client") as m:
|
||||
yield m
|
||||
|
||||
|
||||
def _login(client, roles, is_admin=False):
|
||||
with client.session_transaction() as sess:
|
||||
sess["api_key"] = "k"
|
||||
sess["user"] = {"id": 2, "username": "u", "display_name": "U", "roles": roles,
|
||||
"is_admin": is_admin, "language_pref": "en", "theme_pref": "light",
|
||||
"active": True}
|
||||
sess["language"] = "en"
|
||||
|
||||
|
||||
def test_page_ok_for_supervisor(client, mock_api):
|
||||
_login(client, ["Supervisor"])
|
||||
resp = client.get("/monitor")
|
||||
assert resp.status_code == 200 and b"stationMonitor" in resp.data
|
||||
|
||||
|
||||
def test_page_forbidden_for_operator(client, mock_api):
|
||||
_login(client, ["MeasurementTec"])
|
||||
assert client.get("/monitor").status_code == 403
|
||||
assert client.get("/monitor/api/runs").status_code == 403
|
||||
|
||||
|
||||
def test_proxy_returns_backend_json(client, mock_api):
|
||||
_login(client, ["Supervisor"])
|
||||
mock_api.get.return_value = [{"id": 1, "station_code": "ST-1"}]
|
||||
resp = client.get("/monitor/api/runs")
|
||||
assert resp.status_code == 200 and resp.get_json()[0]["station_code"] == "ST-1"
|
||||
mock_api.get.assert_called_once_with("/api/production-runs/open")
|
||||
|
||||
|
||||
def test_proxy_passes_backend_error(client, mock_api):
|
||||
_login(client, [], is_admin=True)
|
||||
mock_api.get.return_value = {"error": True, "status_code": 403, "detail": "no"}
|
||||
resp = client.get("/monitor/api/runs")
|
||||
assert resp.status_code == 403 and resp.get_json()["error"] is True
|
||||
+117
-22
@@ -9,6 +9,7 @@ from __future__ import annotations
|
||||
import math
|
||||
import os
|
||||
import subprocess
|
||||
import tempfile
|
||||
import time
|
||||
from dataclasses import dataclass, field
|
||||
from functools import lru_cache
|
||||
@@ -18,6 +19,9 @@ from typing import Any
|
||||
import numpy as np
|
||||
from visionsuite.core.image import Image
|
||||
from visionsuite.task import Task
|
||||
from visionsuite.task.graph import RecipeError # #46: errori di ricetta v2
|
||||
from visionsuite.task.registry import load_tools
|
||||
from visionsuite.task.session import Session
|
||||
|
||||
_SUBMODULE = Path(__file__).resolve().parents[2] / "vendor" / "visionsuite"
|
||||
|
||||
@@ -49,6 +53,10 @@ class RunOutcome:
|
||||
# Kept apart from `failures`: the tool did not raise, it just produced a
|
||||
# number the caller must not measure a part by. Value is the reason.
|
||||
invalid_outputs: dict[str, str] = field(default_factory=dict)
|
||||
# #46: contorni di tutti gli strumenti (px immagine, con tool_id) e esito
|
||||
# del TaskReport (informativo: il verdetto quote lo dà il backend).
|
||||
overlay: list[dict] = field(default_factory=list)
|
||||
outcome: str | None = None
|
||||
|
||||
|
||||
@lru_cache(maxsize=1)
|
||||
@@ -97,12 +105,46 @@ def engine_version() -> str:
|
||||
return _engine_version_from_git()
|
||||
|
||||
|
||||
def _scale_calibration(calibration: dict | None):
|
||||
"""Dict {"mm_per_px"|"px_per_mm"} -> ScaleCalibration (gli strumenti di
|
||||
quota convertono con `in_millimetres`, che non accetta un dict)."""
|
||||
if calibration is None:
|
||||
return None
|
||||
from visionsuite.calibration import ScaleCalibration
|
||||
|
||||
if not isinstance(calibration, dict) or not (
|
||||
calibration.get("mm_per_px") or calibration.get("px_per_mm")
|
||||
):
|
||||
raise GraphBuildError(
|
||||
"calibration must be {'mm_per_px': float} or {'px_per_mm': float}"
|
||||
)
|
||||
key = "mm_per_px" if calibration.get("mm_per_px") else "px_per_mm"
|
||||
return ScaleCalibration(**{key: float(calibration[key])})
|
||||
|
||||
|
||||
def _open_session(graph: dict, recipe_dir: Any, calibration: dict | None,
|
||||
workdir: str) -> Session:
|
||||
"""Costruisce la Session v2; RecipeError e grafo malformato -> GraphBuildError."""
|
||||
cal = _scale_calibration(calibration)
|
||||
try:
|
||||
return Session.from_dict(
|
||||
graph, Path(recipe_dir) if recipe_dir else Path(workdir), cal,
|
||||
)
|
||||
except RecipeError as exc:
|
||||
raise GraphBuildError(f"malformed graph: {exc}") from exc
|
||||
except (KeyError, TypeError, AttributeError, ValueError) as exc:
|
||||
raise GraphBuildError(
|
||||
f"malformed graph: {type(exc).__name__}: {exc}"
|
||||
) from exc
|
||||
|
||||
|
||||
def run_graph(
|
||||
image: Any,
|
||||
graph: dict,
|
||||
calibration: dict | None = None,
|
||||
recipe_dir: Any = None,
|
||||
) -> RunOutcome:
|
||||
"""Run a serialised vs-task graph against one image.
|
||||
"""Run a serialised vs-task v2 graph against one image.
|
||||
|
||||
A tool that fails does not stop the others - on a crooked piece an edge may
|
||||
simply not be there, and the other quotes are still wanted. Failures come
|
||||
@@ -112,33 +154,35 @@ def run_graph(
|
||||
wrapped into the `visionsuite.core.image.Image` that vs-measure's tools
|
||||
actually read via `.pixels`; an `Image` passed in is used as-is.
|
||||
|
||||
Two phases, on purpose: building the task from `graph` can fail on
|
||||
nothing but the caller's input (a bad schema version, a tool with no
|
||||
"kind", a graph that is not a dict at all) - that is `GraphBuildError`,
|
||||
a 422 for the worker. Once the task exists, `task.run()` is the engine's
|
||||
own business; an exception from there is not the caller's mistake, and
|
||||
the worker must not call it one.
|
||||
`recipe_dir` is the folder of the recipe's files (meta.dxf, meta.models,
|
||||
...); without it an empty temporary folder is used, so a recipe that needs
|
||||
a file fails as a malformed graph instead of reading from the CWD.
|
||||
|
||||
Two phases, on purpose: building the session can fail on nothing but the
|
||||
caller's input (a bad schema version, a tool with no "kind", a missing
|
||||
file) - that is `GraphBuildError`, a 422 for the worker. Once it exists,
|
||||
running is the engine's own business; an exception from there is not the
|
||||
caller's mistake, and the worker must not call it one.
|
||||
"""
|
||||
try:
|
||||
task = Task.from_dict(graph)
|
||||
except (KeyError, TypeError, AttributeError, ValueError) as exc:
|
||||
raise GraphBuildError(
|
||||
f"malformed graph: {type(exc).__name__}: {exc}"
|
||||
) from exc
|
||||
|
||||
wrapped_image = image if isinstance(image, Image) else Image(pixels=np.asarray(image))
|
||||
context: dict[str, Any] = {"image": wrapped_image}
|
||||
if calibration is not None:
|
||||
context["calibration"] = calibration
|
||||
|
||||
started = time.monotonic()
|
||||
report = task.run(context=context)
|
||||
elapsed_ms = int((time.monotonic() - started) * 1000)
|
||||
load_tools() # #46: registra gli strumenti degli entry point di vs-tools
|
||||
with tempfile.TemporaryDirectory() as empty_dir:
|
||||
session = _open_session(graph, recipe_dir, calibration, empty_dir)
|
||||
wrapped_image = (
|
||||
image if isinstance(image, Image) else Image(pixels=np.asarray(image))
|
||||
)
|
||||
started = time.monotonic()
|
||||
report = session.run(wrapped_image)
|
||||
elapsed_ms = int((time.monotonic() - started) * 1000)
|
||||
|
||||
outputs: dict[str, float] = {}
|
||||
failures: list[ToolFailure] = []
|
||||
invalid_outputs: dict[str, str] = {}
|
||||
overlay: list[dict] = []
|
||||
for result in report:
|
||||
# #46: overlay di ogni strumento, con il tool_id di chi lo ha prodotto
|
||||
for item in result.overlay or []:
|
||||
if isinstance(item, dict):
|
||||
overlay.append({**item, "tool_id": result.tool_id})
|
||||
if not result.ok:
|
||||
failures.append(ToolFailure(
|
||||
tool_id=result.tool_id,
|
||||
@@ -164,4 +208,55 @@ def run_graph(
|
||||
engine_version=engine_version(),
|
||||
duration_ms=elapsed_ms,
|
||||
invalid_outputs=invalid_outputs,
|
||||
overlay=overlay,
|
||||
outcome=report.outcome,
|
||||
)
|
||||
|
||||
|
||||
def _is_number(value: Any) -> bool:
|
||||
return isinstance(value, (int, float)) and not isinstance(value, bool)
|
||||
|
||||
|
||||
def validate_graph(
|
||||
graph: dict, recipe_dir: Any = None
|
||||
) -> tuple[bool, list[str], list[dict]]:
|
||||
"""Validate a v2 recipe without an image: (ok, errors, numeric outputs).
|
||||
|
||||
Not a draft: a missing meta file is an error. `outputs` lists the numeric
|
||||
outputs the tools declare (OUT properties with a numeric default, plus the
|
||||
`values` of dimension tools), with quantity/unit when declared.
|
||||
"""
|
||||
load_tools()
|
||||
if not isinstance(graph, dict):
|
||||
return False, ["graph must be a JSON object"], []
|
||||
try:
|
||||
task = Task.from_dict(
|
||||
graph, recipe_dir=Path(recipe_dir) if recipe_dir else None
|
||||
)
|
||||
except RecipeError as exc:
|
||||
return False, list(exc.errors), []
|
||||
except (KeyError, TypeError, AttributeError, ValueError) as exc:
|
||||
return False, [f"{type(exc).__name__}: {exc}"], []
|
||||
|
||||
outputs: list[dict] = []
|
||||
for tool in task.tools:
|
||||
value_quantities = getattr(tool, "value_quantities", None) or {}
|
||||
values = tuple(getattr(tool, "values", ()) or ())
|
||||
for prop in tool.outputs():
|
||||
if not (_is_number(prop.default) or prop.name in values):
|
||||
continue
|
||||
quantity = value_quantities.get(prop.name, getattr(tool, "quantity", None))
|
||||
if not isinstance(quantity, str):
|
||||
quantity = None
|
||||
unit = None
|
||||
if quantity == "length":
|
||||
nominal_unit = getattr(tool, "nominal_unit", None)
|
||||
unit = nominal_unit if isinstance(nominal_unit, str) else None
|
||||
elif quantity == "angle":
|
||||
unit = "deg"
|
||||
outputs.append({
|
||||
"key": f"{tool.id}.{prop.name}",
|
||||
"quantity": quantity,
|
||||
"unit": unit,
|
||||
})
|
||||
return True, [], outputs
|
||||
|
||||
+146
-13
@@ -34,14 +34,16 @@ def a_disc(radius: int = 60, size: int = 400) -> np.ndarray:
|
||||
def a_circle_graph() -> dict:
|
||||
"""A two-tool graph, built with vs-task's own API."""
|
||||
from visionsuite.task import Task
|
||||
from visionsuite.task.tools import DetectCircleTool, DiameterTool
|
||||
from visionsuite.tools.detect import DetectCircle
|
||||
from visionsuite.tools.dimensions import Diameter
|
||||
|
||||
task = Task(name="prova")
|
||||
found = task.add(DetectCircleTool(name="disco"))
|
||||
found = task.add(DetectCircle(name="disco"))
|
||||
found.center_row, found.center_col, found.radius = 200.0, 200.0, 60.0
|
||||
found.scan_size = 30.0
|
||||
|
||||
quota = task.add(DiameterTool(name="diametro"))
|
||||
quota = task.add(Diameter(name="diametro"))
|
||||
quota.nominal_unit = "px" # #46: v2, senza calibrazione la quota resta in px
|
||||
quota.link("circle", found, "circle")
|
||||
return task.to_dict()
|
||||
|
||||
@@ -63,7 +65,7 @@ def test_a_broken_tool_does_not_sink_the_others():
|
||||
graph = a_circle_graph()
|
||||
graph["tools"].append(
|
||||
{"id": "ghost", "kind": "DetectCircle", "name": "assente",
|
||||
"properties": {"center_row": 5.0, "center_col": 5.0, "radius": 900.0}}
|
||||
"values": {"center_row": 5.0, "center_col": 5.0, "radius": 900.0}}
|
||||
)
|
||||
|
||||
outcome = run_graph(a_disc(), graph)
|
||||
@@ -81,14 +83,21 @@ class _FakeResult:
|
||||
self.ok = ok
|
||||
self.outputs = outputs or {}
|
||||
self.error = error
|
||||
self.overlay = [] # #46: v2, ogni risultato porta l'overlay
|
||||
|
||||
|
||||
class _FakeReport(list):
|
||||
"""#46: run_graph ora legge `.outcome` dal report di Session.run."""
|
||||
|
||||
outcome = "pass"
|
||||
|
||||
|
||||
def test_a_nan_output_is_dropped_not_measured(monkeypatch):
|
||||
"""vs-measure emits NaN on an empty slice (caliper.py:112 per the
|
||||
revisione) - a NaN must not become a quote's value (#16)."""
|
||||
def fake_run(self, context=None):
|
||||
return [_FakeResult("t1", "diametro", True, outputs={"diameter": float("nan")})]
|
||||
monkeypatch.setattr(runner.Task, "run", fake_run)
|
||||
def fake_run(self, image, tag=None):
|
||||
return _FakeReport([_FakeResult("t1", "diametro", True, outputs={"diameter": float("nan")})])
|
||||
monkeypatch.setattr(runner.Session, "run", fake_run)
|
||||
|
||||
outcome = run_graph(a_disc(), a_circle_graph())
|
||||
|
||||
@@ -97,9 +106,9 @@ def test_a_nan_output_is_dropped_not_measured(monkeypatch):
|
||||
|
||||
|
||||
def test_an_infinite_output_is_dropped_not_measured(monkeypatch):
|
||||
def fake_run(self, context=None):
|
||||
return [_FakeResult("t1", "diametro", True, outputs={"diameter": float("inf")})]
|
||||
monkeypatch.setattr(runner.Task, "run", fake_run)
|
||||
def fake_run(self, image, tag=None):
|
||||
return _FakeReport([_FakeResult("t1", "diametro", True, outputs={"diameter": float("inf")})])
|
||||
monkeypatch.setattr(runner.Session, "run", fake_run)
|
||||
|
||||
outcome = run_graph(a_disc(), a_circle_graph())
|
||||
|
||||
@@ -109,9 +118,9 @@ def test_an_infinite_output_is_dropped_not_measured(monkeypatch):
|
||||
|
||||
def test_a_bool_output_is_not_treated_as_a_measurable_number(monkeypatch):
|
||||
"""bool is a subclass of int - a flag output must not become a quote."""
|
||||
def fake_run(self, context=None):
|
||||
return [_FakeResult("t1", "flag", True, outputs={"present": True})]
|
||||
monkeypatch.setattr(runner.Task, "run", fake_run)
|
||||
def fake_run(self, image, tag=None):
|
||||
return _FakeReport([_FakeResult("t1", "flag", True, outputs={"present": True})])
|
||||
monkeypatch.setattr(runner.Session, "run", fake_run)
|
||||
|
||||
outcome = run_graph(a_disc(), a_circle_graph())
|
||||
|
||||
@@ -155,3 +164,127 @@ def test_engine_version_raises_rather_than_inventing_one(monkeypatch):
|
||||
engine_version()
|
||||
finally:
|
||||
runner._engine_version_from_git.cache_clear()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# #46: ricette v2 complete - overlay, calibrazione, recipe_dir con DXF.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
import hashlib
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
import cv2
|
||||
|
||||
_VS = Path(__file__).resolve().parents[3] / "vendor" / "visionsuite"
|
||||
_SAMPLE_DXF = _VS / "packages" / "vs-dxf" / "tests" / "fixtures" / "sample.dxf"
|
||||
# Il disegno di prova: rettangolo 200x100 mm con foro r=10 mm.
|
||||
_PX_PER_MM = 4.0
|
||||
|
||||
|
||||
def _dxf_scene() -> np.ndarray:
|
||||
"""Il pezzo del disegno rasterizzato a 4 px/mm, margine 60 mm."""
|
||||
margin = 60.0
|
||||
w = int((200.0 + 2 * margin) * _PX_PER_MM)
|
||||
h = int((100.0 + 2 * margin) * _PX_PER_MM)
|
||||
img = np.full((h, w), 255, dtype=np.uint8)
|
||||
cx, cy = w // 2, h // 2
|
||||
hw, hh = 200.0 * _PX_PER_MM / 2, 100.0 * _PX_PER_MM / 2
|
||||
cv2.rectangle(img, (int(cx - hw), int(cy - hh)), (int(cx + hw), int(cy + hh)), 0, -1)
|
||||
cv2.circle(img, (cx, cy), int(10.0 * _PX_PER_MM), 255, -1)
|
||||
return img
|
||||
|
||||
|
||||
def _dxf_recipe() -> dict:
|
||||
"""CompareDxf con ancora a due punti, collegati a due DetectPointScan.
|
||||
|
||||
Le due scansioni trovano i bordi sinistro e destro del pezzo una riga
|
||||
sopra il lato in basso: origine del disegno = angolo in basso a sinistra,
|
||||
direzione a -> b = asse x del disegno.
|
||||
"""
|
||||
h, w = _dxf_scene().shape
|
||||
cx, cy = w // 2, h // 2
|
||||
hw, hh = 200.0 * _PX_PER_MM / 2, 100.0 * _PX_PER_MM / 2
|
||||
row = cy + hh - 1.0
|
||||
|
||||
def scan(tid: str, col: float) -> dict:
|
||||
return {"id": tid, "name": tid, "kind": "DetectPointScan",
|
||||
"values": {"start_row": row, "start_col": col - 30.0,
|
||||
"end_row": row, "end_col": col + 30.0,
|
||||
"width": 5.0, "select": "first"},
|
||||
"links": {}}
|
||||
|
||||
return {
|
||||
"schema_version": 2,
|
||||
"name": "dxf",
|
||||
"meta": {"dxf": {"disegno": { # sha256 obbligatorio in meta (v2)
|
||||
"path": "disegno.dxf",
|
||||
"sha256": hashlib.sha256(_SAMPLE_DXF.read_bytes()).hexdigest()}}},
|
||||
"tools": [
|
||||
scan("t-a", cx - hw),
|
||||
scan("t-b", cx + hw),
|
||||
{"id": "t-dxf", "name": "confronto", "kind": "CompareDxf",
|
||||
"values": {"dxf": "disegno", "mm_per_px": 1.0 / _PX_PER_MM,
|
||||
"anchor": "two_points",
|
||||
"band_plus": 8.0, "band_minus": 8.0},
|
||||
"links": {"point_a": {"tool": "t-a", "property": "point"},
|
||||
"point_b": {"tool": "t-b", "property": "point"}}},
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
def test_a_circle_recipe_returns_overlay_and_outcome():
|
||||
outcome = run_graph(a_disc(), a_circle_graph())
|
||||
|
||||
assert outcome.outcome in ("pass", "warning", "fail")
|
||||
assert outcome.overlay, "DetectCircle must draw something"
|
||||
assert all("tool_id" in item for item in outcome.overlay)
|
||||
|
||||
|
||||
def test_calibration_dict_gives_mm_quotes():
|
||||
graph = a_circle_graph()
|
||||
for tool in graph["tools"]:
|
||||
if tool["kind"] == "Diameter":
|
||||
tool["values"]["nominal_unit"] = "mm"
|
||||
|
||||
outcome = run_graph(a_disc(), graph, calibration={"mm_per_px": 0.5})
|
||||
|
||||
assert outcome.failures == []
|
||||
diameter = next(v for k, v in outcome.outputs.items() if k.endswith(".value"))
|
||||
assert diameter == pytest.approx(60.0, abs=2.0) # 120 px * 0.5 mm/px
|
||||
|
||||
|
||||
def test_compare_dxf_two_points_with_recipe_dir(tmp_path):
|
||||
shutil.copy(_SAMPLE_DXF, tmp_path / "disegno.dxf")
|
||||
|
||||
outcome = run_graph(_dxf_scene(), _dxf_recipe(), recipe_dir=tmp_path)
|
||||
|
||||
assert outcome.failures == []
|
||||
assert outcome.outputs["t-dxf.n_points"] > 1000
|
||||
assert outcome.outputs["t-dxf.points_in_pct"] > 95.0
|
||||
roles = {item.get("role") for item in outcome.overlay}
|
||||
assert {"reference", "found"} <= roles
|
||||
assert "t-dxf" in {item["tool_id"] for item in outcome.overlay}
|
||||
|
||||
|
||||
def test_missing_meta_file_is_a_graph_build_error(tmp_path):
|
||||
with pytest.raises(runner.GraphBuildError):
|
||||
run_graph(_dxf_scene(), _dxf_recipe(), recipe_dir=tmp_path)
|
||||
|
||||
|
||||
def test_validate_lists_numeric_outputs(tmp_path):
|
||||
shutil.copy(_SAMPLE_DXF, tmp_path / "disegno.dxf")
|
||||
graph = _dxf_recipe()
|
||||
|
||||
ok, errors, outputs = runner.validate_graph(graph, tmp_path)
|
||||
|
||||
assert ok, errors
|
||||
keys = {o["key"] for o in outputs}
|
||||
assert {"t-dxf.points_in_pct", "t-dxf.n_points"} <= keys
|
||||
assert all(set(o) == {"key", "quantity", "unit"} for o in outputs)
|
||||
|
||||
|
||||
def test_validate_reports_a_missing_file(tmp_path):
|
||||
ok, errors, outputs = runner.validate_graph(_dxf_recipe(), tmp_path)
|
||||
|
||||
assert not ok and errors and outputs == []
|
||||
|
||||
+109
-17
@@ -10,12 +10,20 @@ import asyncio
|
||||
import io
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
import numpy as np
|
||||
from fastapi import FastAPI, File, Form, HTTPException, UploadFile, status
|
||||
from PIL import Image, UnidentifiedImageError
|
||||
|
||||
from src.vision.runner import GraphBuildError, RunOutcome, engine_version, run_graph
|
||||
from src.vision.runner import (
|
||||
GraphBuildError,
|
||||
RunOutcome,
|
||||
engine_version,
|
||||
run_graph,
|
||||
validate_graph,
|
||||
)
|
||||
|
||||
app = FastAPI(title="TieMeasureFlow Vision Worker", version="0.1.0")
|
||||
|
||||
@@ -31,6 +39,69 @@ _MAX_CONCURRENCY = int(os.environ.get("VISION_MAX_CONCURRENCY", "2"))
|
||||
_run_slots = asyncio.Semaphore(_MAX_CONCURRENCY)
|
||||
|
||||
|
||||
# #46: radice sotto cui vivono le cartelle delle ricette (volume uploads,
|
||||
# montato in sola lettura nel worker). `recipe_dir` e' relativo a questa radice.
|
||||
_RECIPES_ROOT_DEFAULT = "/app/uploads"
|
||||
|
||||
|
||||
def _unprocessable(detail: str) -> HTTPException:
|
||||
return HTTPException(
|
||||
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT, detail=detail
|
||||
)
|
||||
|
||||
|
||||
def _resolve_recipe_dir(recipe_dir: str | None) -> Path | None:
|
||||
"""Percorso RELATIVO sotto VISION_RECIPES_ROOT -> cartella assoluta.
|
||||
|
||||
Assoluto, `..` o fuori radice (anche via symlink) -> 422. Vuoto -> None.
|
||||
"""
|
||||
if recipe_dir is None or not recipe_dir.strip():
|
||||
return None
|
||||
rel = recipe_dir.strip()
|
||||
# Letto a ogni richiesta (non a import) cosi' i test possono cambiarlo.
|
||||
root = Path(os.environ.get("VISION_RECIPES_ROOT", _RECIPES_ROOT_DEFAULT)).resolve()
|
||||
if (
|
||||
Path(rel).is_absolute()
|
||||
# #46: lettera di unita (C:/x) rifiutata su ogni OS; UNC coperto da startswith("\\")
|
||||
or re.match(r"^[A-Za-z]:", rel)
|
||||
or rel.startswith(("/", "\\"))
|
||||
or ".." in Path(rel.replace("\\", "/")).parts
|
||||
):
|
||||
raise _unprocessable("recipe_dir must be a relative path under the recipes root")
|
||||
resolved = (root / rel).resolve()
|
||||
if resolved != root and root not in resolved.parents:
|
||||
raise _unprocessable("recipe_dir is outside the recipes root")
|
||||
return resolved
|
||||
|
||||
|
||||
def _parse_graph(graph: str) -> dict:
|
||||
try:
|
||||
parsed = json.loads(graph)
|
||||
except json.JSONDecodeError as exc:
|
||||
raise _unprocessable(f"graph is not valid JSON: {exc}") from exc
|
||||
if not isinstance(parsed, dict):
|
||||
raise _unprocessable(
|
||||
f"graph must be a JSON object, got {type(parsed).__name__}"
|
||||
)
|
||||
return parsed
|
||||
|
||||
|
||||
def _parse_calibration(calibration: str | None) -> dict | None:
|
||||
if calibration is None or not calibration.strip():
|
||||
return None
|
||||
try:
|
||||
parsed = json.loads(calibration)
|
||||
except json.JSONDecodeError as exc:
|
||||
raise _unprocessable(f"calibration is not valid JSON: {exc}") from exc
|
||||
if not isinstance(parsed, dict) or not (
|
||||
parsed.get("mm_per_px") or parsed.get("px_per_mm")
|
||||
):
|
||||
raise _unprocessable(
|
||||
"calibration must be {'mm_per_px': float} or {'px_per_mm': float}"
|
||||
)
|
||||
return parsed
|
||||
|
||||
|
||||
class _ImageDecodeError(Exception):
|
||||
"""The upload is not a decodable image - raised inside the worker thread
|
||||
so it survives the trip through `asyncio.to_thread`."""
|
||||
@@ -44,7 +115,12 @@ async def health() -> dict:
|
||||
return {"status": "ok", "engine_version": engine_version()}
|
||||
|
||||
|
||||
def _decode_and_run(content: bytes, graph: dict) -> RunOutcome:
|
||||
def _decode_and_run(
|
||||
content: bytes,
|
||||
graph: dict,
|
||||
calibration: dict | None = None,
|
||||
recipe_dir: Path | None = None,
|
||||
) -> RunOutcome:
|
||||
"""The synchronous, CPU/IO-bound half of a request: PIL decode plus
|
||||
`run_graph`. Runs in a worker thread (see `run` below) so the event loop -
|
||||
and therefore `/health` - stays responsive while it executes. Once this
|
||||
@@ -56,27 +132,19 @@ def _decode_and_run(content: bytes, graph: dict) -> RunOutcome:
|
||||
frame = np.array(Image.open(io.BytesIO(content)).convert("L"))
|
||||
except (UnidentifiedImageError, OSError) as exc:
|
||||
raise _ImageDecodeError(str(exc)) from exc
|
||||
return run_graph(frame, graph)
|
||||
return run_graph(frame, graph, calibration=calibration, recipe_dir=recipe_dir)
|
||||
|
||||
|
||||
@app.post("/run")
|
||||
async def run(
|
||||
image: UploadFile = File(...),
|
||||
graph: str = Form(...),
|
||||
recipe_dir: str | None = Form(None),
|
||||
calibration: str | None = Form(None),
|
||||
) -> dict:
|
||||
try:
|
||||
parsed_graph = json.loads(graph)
|
||||
except json.JSONDecodeError as exc:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
|
||||
detail=f"graph is not valid JSON: {exc}",
|
||||
) from exc
|
||||
|
||||
if not isinstance(parsed_graph, dict):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
|
||||
detail=f"graph must be a JSON object, got {type(parsed_graph).__name__}",
|
||||
)
|
||||
parsed_graph = _parse_graph(graph)
|
||||
resolved_dir = _resolve_recipe_dir(recipe_dir)
|
||||
parsed_calibration = _parse_calibration(calibration)
|
||||
|
||||
content = await image.read()
|
||||
|
||||
@@ -89,7 +157,13 @@ async def run(
|
||||
async with _run_slots:
|
||||
try:
|
||||
outcome = await asyncio.wait_for(
|
||||
asyncio.to_thread(_decode_and_run, content, parsed_graph),
|
||||
asyncio.to_thread(
|
||||
_decode_and_run,
|
||||
content,
|
||||
parsed_graph,
|
||||
parsed_calibration,
|
||||
resolved_dir,
|
||||
),
|
||||
timeout=_RUN_TIMEOUT_S,
|
||||
)
|
||||
except asyncio.TimeoutError as exc:
|
||||
@@ -130,4 +204,22 @@ async def run(
|
||||
"engine_version": outcome.engine_version,
|
||||
"duration_ms": outcome.duration_ms,
|
||||
"invalid_outputs": outcome.invalid_outputs,
|
||||
# #46: contorni per l'overlay sull'immagine e esito VisionSuite.
|
||||
"overlay": outcome.overlay,
|
||||
"outcome": outcome.outcome,
|
||||
}
|
||||
|
||||
|
||||
@app.post("/validate")
|
||||
async def validate(
|
||||
graph: str = Form(...),
|
||||
recipe_dir: str | None = Form(None),
|
||||
) -> dict:
|
||||
"""Validates a v2 recipe (not a draft: a missing meta file is an error)
|
||||
and lists its numeric outputs. No image, so it is cheap: no run slot."""
|
||||
parsed_graph = _parse_graph(graph)
|
||||
resolved_dir = _resolve_recipe_dir(recipe_dir)
|
||||
ok, errors, outputs = await asyncio.to_thread(
|
||||
validate_graph, parsed_graph, resolved_dir
|
||||
)
|
||||
return {"ok": ok, "errors": errors, "outputs": outputs}
|
||||
|
||||
@@ -45,13 +45,15 @@ def a_disc_png(radius: int = 60, size: int = 400) -> bytes:
|
||||
|
||||
def a_circle_graph() -> dict:
|
||||
from visionsuite.task import Task
|
||||
from visionsuite.task.tools import DetectCircleTool, DiameterTool
|
||||
from visionsuite.tools.detect import DetectCircle
|
||||
from visionsuite.tools.dimensions import Diameter
|
||||
|
||||
task = Task(name="prova")
|
||||
found = task.add(DetectCircleTool(name="disco"))
|
||||
found = task.add(DetectCircle(name="disco"))
|
||||
found.center_row, found.center_col, found.radius = 200.0, 200.0, 60.0
|
||||
found.scan_size = 30.0
|
||||
quota = task.add(DiameterTool(name="diametro"))
|
||||
quota = task.add(Diameter(name="diametro"))
|
||||
quota.nominal_unit = "px" # #46: v2, senza calibrazione la quota resta in px
|
||||
quota.link("circle", found, "circle")
|
||||
return task.to_dict()
|
||||
|
||||
@@ -140,7 +142,7 @@ async def test_a_graph_that_is_not_an_object_is_refused():
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_a_tool_without_a_kind_is_refused_not_crashed():
|
||||
graph = {"schema_version": 1, "name": "p", "tools": [{"id": "a", "name": "x"}]}
|
||||
graph = {"schema_version": 2, "name": "p", "tools": [{"id": "a", "name": "x"}]}
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://worker") as client:
|
||||
response = await client.post(
|
||||
@@ -151,7 +153,7 @@ async def test_a_tool_without_a_kind_is_refused_not_crashed():
|
||||
|
||||
assert response.status_code == 422
|
||||
assert "malformed graph" in response.json()["detail"].lower()
|
||||
assert "kind" in response.json()["detail"].lower()
|
||||
assert "tipo sconosciuto" in response.json()["detail"].lower() # #46: messaggio v2
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -167,7 +169,7 @@ async def test_a_run_past_its_budget_answers_504_and_health_still_answers(
|
||||
):
|
||||
monkeypatch.setattr(worker_main, "_RUN_TIMEOUT_S", 0.1)
|
||||
|
||||
def slow_run_graph(frame, graph):
|
||||
def slow_run_graph(frame, graph, **kwargs):
|
||||
time.sleep(0.5) # off the event loop - it runs inside asyncio.to_thread
|
||||
return runner.RunOutcome(engine_version="a" * 40)
|
||||
|
||||
@@ -197,7 +199,7 @@ async def test_a_third_concurrent_run_is_refused_not_queued(monkeypatch):
|
||||
monkeypatch.setattr(worker_main, "_run_slots", asyncio.Semaphore(1))
|
||||
monkeypatch.setattr(worker_main, "_RUN_TIMEOUT_S", 2.0)
|
||||
|
||||
def slow_run_graph(frame, graph):
|
||||
def slow_run_graph(frame, graph, **kwargs):
|
||||
time.sleep(0.3)
|
||||
return runner.RunOutcome(engine_version="a" * 40)
|
||||
|
||||
@@ -222,3 +224,88 @@ async def test_a_third_concurrent_run_is_refused_not_queued(monkeypatch):
|
||||
|
||||
assert second_response.status_code == 503
|
||||
assert first_response.status_code == 200
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# #46: recipe_dir, calibration, overlay, /validate.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def _post(path: str, **kwargs):
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://worker") as client:
|
||||
return await client.post(path, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_returns_overlay_and_outcome():
|
||||
response = await _post(
|
||||
"/run",
|
||||
files={"image": ("piece.png", a_disc_png(), "image/png")},
|
||||
data={"graph": json.dumps(a_circle_graph())},
|
||||
)
|
||||
|
||||
body = response.json()
|
||||
assert response.status_code == 200
|
||||
assert body["overlay"] and "tool_id" in body["overlay"][0]
|
||||
assert body["outcome"] in ("pass", "warning", "fail")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_accepts_a_calibration():
|
||||
graph = a_circle_graph()
|
||||
for tool in graph["tools"]:
|
||||
if tool["kind"] == "Diameter":
|
||||
tool["values"]["nominal_unit"] = "mm"
|
||||
response = await _post(
|
||||
"/run",
|
||||
files={"image": ("piece.png", a_disc_png(), "image/png")},
|
||||
data={"graph": json.dumps(graph),
|
||||
"calibration": json.dumps({"px_per_mm": 2.0})},
|
||||
)
|
||||
|
||||
body = response.json()
|
||||
assert response.status_code == 200, body
|
||||
assert body["failures"] == []
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.parametrize("bad", ["../etc", "a/../../b", "/abs/path", "C:/x/y"])
|
||||
async def test_a_recipe_dir_outside_the_root_is_refused(bad, monkeypatch, tmp_path):
|
||||
monkeypatch.setenv("VISION_RECIPES_ROOT", str(tmp_path))
|
||||
response = await _post(
|
||||
"/run",
|
||||
files={"image": ("piece.png", a_disc_png(), "image/png")},
|
||||
data={"graph": json.dumps(a_circle_graph()), "recipe_dir": bad},
|
||||
)
|
||||
assert response.status_code == 422
|
||||
|
||||
response = await _post(
|
||||
"/validate", data={"graph": json.dumps(a_circle_graph()), "recipe_dir": bad}
|
||||
)
|
||||
assert response.status_code == 422
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_validate_ok_and_with_a_missing_file(monkeypatch, tmp_path):
|
||||
monkeypatch.setenv("VISION_RECIPES_ROOT", str(tmp_path))
|
||||
response = await _post("/validate", data={"graph": json.dumps(a_circle_graph())})
|
||||
body = response.json()
|
||||
assert response.status_code == 200 and body["ok"] is True
|
||||
assert any(o["key"].endswith(".diameter") for o in body["outputs"])
|
||||
|
||||
(tmp_path / "r1").mkdir()
|
||||
graph = {
|
||||
"schema_version": 2, "name": "d",
|
||||
"meta": {"dxf": {"d": {"path": "mancante.dxf"}}},
|
||||
"tools": [{"id": "t", "name": "c", "kind": "CompareDxf",
|
||||
"values": {"dxf": "d", "mm_per_px": 0.25,
|
||||
"band_plus": 8.0, "band_minus": 8.0},
|
||||
"links": {}}],
|
||||
}
|
||||
response = await _post(
|
||||
"/validate", data={"graph": json.dumps(graph), "recipe_dir": "r1"}
|
||||
)
|
||||
body = response.json()
|
||||
assert response.status_code == 200
|
||||
assert body["ok"] is False and body["errors"] and body["outputs"] == []
|
||||
|
||||
@@ -626,6 +626,45 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/21/0e/8459ca4413e1a21a06c97d134bfaf18adfd27cea068813dc0faae06cbf00/cssselect2-0.9.0-py3-none-any.whl", hash = "sha256:6a99e5f91f9a016a304dd929b0966ca464bcfda15177b6fb4a118fc0fb5d9563", size = 15453, upload-time = "2026-02-12T17:16:38.317Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ezdxf"
|
||||
version = "1.4.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "fonttools" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pyparsing" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5e/d7/1b7be8db364f1c4838dfc1a40ca96577aba405deabf896a4eb3aaeb15a62/ezdxf-1.4.4.tar.gz", hash = "sha256:da5a5e0e6bdbb6656f9c017b47edc7eafceb419d61a2b5de64ffb344c168e593", size = 1866886, upload-time = "2026-05-14T09:19:19.511Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/d0/bc515b7f5596bc3d55b93fc9f2c2b4926e2587af6bfae0486ef7cc7ddf43/ezdxf-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:39aadab5bc7a05deddbd0db9b984c8a4bd28bd4c1ac2c5ee03f0d1b096272a88", size = 3553590, upload-time = "2026-05-14T09:25:28.042Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a7/73/207132f13a5280d186f2441d9125639fdc7ddeabf56c2d5da4d691e81ce6/ezdxf-1.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2ed65b191113a82133ba47daa6ebdd540b487b17394b1e327e9511dde87ad924", size = 3008276, upload-time = "2026-05-14T09:25:29.424Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/82/73/b01af87269726e3719abc5ff694b843b710ef8fc345d21013e90d70e44d8/ezdxf-1.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7c3c8f2c2b62fe5b6c9b62ab8257b697535d62b0c79acf3a5040bd95edfab451", size = 3001750, upload-time = "2026-05-14T09:25:31.146Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dd/92/284d7ca6a9da107966c7bd9d81c92245985235bc432fe0837982ef80630a/ezdxf-1.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d68d5ab9e1071319030da3af27590f34c38c8544a5ea638d9a4a800a96abb3c2", size = 5802382, upload-time = "2026-05-14T09:27:28.462Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7d/fe/e4f37730ca5b5bf7de3a968a26126b404f60324d0b8ae9d59d11d6e55740/ezdxf-1.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f75a4f2924ebdda0f5b2779ff2135ba92de2596c95a8fa9b1d9ebcabea1be41", size = 5794671, upload-time = "2026-05-14T09:27:09.867Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/3f/c3e7ab74f58cb69ef985fb71eda859b5c287cc506c65cbffe7e55c7cf2d4/ezdxf-1.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0eec8a2095b645420a67560e99041c0d25afefd39eab5bff8c736fdb32211a75", size = 5767366, upload-time = "2026-05-14T09:27:30.108Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/7a/b7070bf05e75b3e709a6fe5ae5bcd3bd899e987ef84ff25cf28327519c03/ezdxf-1.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d87a85052e92b9c28e54605dbad65f779a3b61e6288e992d6ef00df7bde4bed3", size = 5830221, upload-time = "2026-05-14T09:27:12.074Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/78/cf/a990289808c261c52f5b219484d136a8748773c99a6d25c84f55a0353fea/ezdxf-1.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:473d68c8f2b04ace513efa290a1cd0d3a4a589cdff48124f015f0e51034668b2", size = 2957599, upload-time = "2026-05-14T09:23:46.571Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/3d/98648d221ffa047b5ba898c8e152010861dc71a66b531dcf15053075010e/ezdxf-1.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d723d35d08223318c17080a32a05192a1449e544dee867c9d9c6f25998fac303", size = 3563916, upload-time = "2026-05-14T09:25:32.879Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2c/f1/84bbaa571412f840c22deeae185e54d4a67aa52f03e1728fd8425748c548/ezdxf-1.4.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6b0c73b46085521bdbd4a3e7d88998da7bec5713ba89bbb502fdeffe6b42fc7e", size = 3016857, upload-time = "2026-05-14T09:25:34.607Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/ff/f2eb77d22d26aa98abbe0961470871d8b85ef4e73e5527f544d25f958d6e/ezdxf-1.4.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ac3e83a70c1f866dd5114192a6fab6e75cc83b75e907bc08c5d94b98cce14cc0", size = 3003336, upload-time = "2026-05-14T09:25:35.947Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/65/7d/2a6ddd6beef5d9a8593078619f3920a0cd76b1db4c6a974ac37045543219/ezdxf-1.4.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ebe09717ab6636bf48780eabdab51e3ab2135f7963bb52452444b6d95e03d12", size = 5788485, upload-time = "2026-05-14T09:27:32.176Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e7/29/2094fd7719146ca7bb236be9751b5929d431f643cbab669aed89cf121883/ezdxf-1.4.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44af248af0860fe8b1a39ca40e1cd2fa8ac37b22142b14b20c6a0caf1b50f932", size = 5816781, upload-time = "2026-05-14T09:27:13.96Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/19/8d/669b8047cca162204c53b874183d73b5f6c4b1d5d48fa1e515a32d56f5ac/ezdxf-1.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:02a097794625e9fc948e637dfe07057e98167b4fe215357a59645759fef6db3f", size = 5754006, upload-time = "2026-05-14T09:27:33.858Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5b/44/b753997173327250e43ae50f11f0c69016b1e78482e0bd3857c3495236e7/ezdxf-1.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f093bd2228f5782d483aed3bd89cdb74b672b5f90c677c4125cd236ee5649151", size = 5861860, upload-time = "2026-05-14T09:27:15.758Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0b/99/2e81cb168e0f09adfb05fb40e5f890ff87ac2c00e98079cf09837dd76330/ezdxf-1.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:3e518d9ed4dcbe525d57f14c25c5e592f82660a690fdec39b03b092e6cdc4771", size = 2963238, upload-time = "2026-05-14T09:23:47.924Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/be/ed/97aa3ba1ba923e4098169de5bca380ee1430e2b34d0dd85b73007e34df16/ezdxf-1.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:278a09a845d67a4f893aebe9ef8dcd8894ece9f255d7d8bb21719ffd902109b8", size = 3555283, upload-time = "2026-05-14T09:25:37.346Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/4e/b1/8ca9408a2b382a806837e72d35f10931fdd9f53fe66cf208a6340358fbc5/ezdxf-1.4.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b0a787f8ebcbdcb9798c6fcfe90c23afd1a0993c8d4302b6cce5d8f19ae052ae", size = 3012646, upload-time = "2026-05-14T09:25:39.01Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8b/aa/1e8d3130eaabb780c5e8adfdc1ead023bb04468779b18169d60f7ce5b291/ezdxf-1.4.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c451d1c20f08b30c735ca4d650fee5b44147402f4b5662f8550053ed8a3009c2", size = 2999048, upload-time = "2026-05-14T09:25:40.348Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/ca/1dd390b79df9c104c2d4b5964e80db25362edf704ac742c9db9b279658a5/ezdxf-1.4.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d3d9a6663993fc644751647fd7843057b51742ffac27c48ce28ea9f81239613", size = 5747890, upload-time = "2026-05-14T09:27:36.028Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/1e/226a6e636ae533e0bc0afe4435d1058fac173564e4af4102862f055a46d9/ezdxf-1.4.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82c022cf094d21ad3db68557aa83628e4152355e8a8bef0fffd4f71a9ea325df", size = 5774707, upload-time = "2026-05-14T09:27:17.625Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/24/a3/7e33c9036de944b5446982bb629d698356e48b00c4d173768f52bdeeff4b/ezdxf-1.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3be59c2a3a93585412a2a37af29b3ad7574fa3e429e624924c3285d0573388b3", size = 5713753, upload-time = "2026-05-14T09:27:37.55Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/9e/ac0cdc3a8623fc38aa16670f6537aa810bc1381217a51ac3481299bbc986/ezdxf-1.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:44a9716860b59dddd49a3708c04ff4580ad1e7de92ac93bb3213d85fba5ac93f", size = 5813895, upload-time = "2026-05-14T09:27:19.514Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dd/22/b511a8d9ea8f23447a67fe8977213fac5e4e69df30130a3ef31043613eaf/ezdxf-1.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:207eed544417464ffaf2570880d58a792ecd2534c9c2dede45e895f3200b77e6", size = 2960937, upload-time = "2026-05-14T09:23:49.361Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/09/5ecb6f82d35a2f4a4334d0a608fcf764827fa69dccdf5987ce309c16b6c1/ezdxf-1.4.4-py3-none-any.whl", hash = "sha256:666edda631ba717270293b734f5d58dd97a1d1aba4787187f09d0cc584645865", size = 1331217, upload-time = "2026-05-14T09:19:26.601Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fastapi"
|
||||
version = "0.136.1"
|
||||
@@ -1079,8 +1118,8 @@ name = "numba"
|
||||
version = "0.67.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "llvmlite", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "llvmlite" },
|
||||
{ name = "numpy" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7a/90/2544f4e3a61e501d6c9a5418fd4b905323222693d54a02cab0106a0af865/numba-0.67.0.tar.gz", hash = "sha256:cd75aa535b33fa05d9d930b1ae8af9f97a2881e96d72dfb38ec9b78284d9f851", size = 2836515, upload-time = "2026-08-11T23:04:00.174Z" }
|
||||
wheels = [
|
||||
@@ -1185,7 +1224,7 @@ name = "opencv-python"
|
||||
version = "5.0.0.93"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/79/4c/a438d23e09ce2033c09f7b784ad2fbdb0adf529e434101ed28f142226f98/opencv_python-5.0.0.93.tar.gz", hash = "sha256:66aac3e5b5faa48d4025816592f3af19e4bfc2c68dec067bae2dbb4ca10aa9e2", size = 81802749, upload-time = "2026-07-02T06:59:53.815Z" }
|
||||
wheels = [
|
||||
@@ -1570,6 +1609,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl", hash = "sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176", size = 1231151, upload-time = "2026-03-29T13:29:30.038Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pyparsing"
|
||||
version = "3.3.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e4/11/b213bebff182584360cb8d17c72c1677fec5c5c228de439e63bcf8ab1c8f/pyparsing-3.3.3.tar.gz", hash = "sha256:928ae7e20211f3b6f3915a72f06a0cfd29ab9d24279dd6346b6b1a7146397d36", size = 1050487, upload-time = "2026-09-20T20:59:05.609Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/38/bb/d215ee7c73b61497b28a5503f9f53523f294fcc936762b7caf90e0c1c2b5/pyparsing-3.3.3-py3-none-any.whl", hash = "sha256:ece8c00a69cf01b45d0b1dedabb469c90d8caf996d4fda40f147627a122849a4", size = 126420, upload-time = "2026-09-20T20:59:04.025Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pypdfium2"
|
||||
version = "5.8.0"
|
||||
@@ -1751,7 +1799,7 @@ name = "scipy"
|
||||
version = "1.18.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a7/25/c2700dfaf6442b4effaa91af24ebce5dc9d31bb4a69706313aae70d72cd0/scipy-1.18.0.tar.gz", hash = "sha256:67b2ad2ad54c72ca6d04975a9b2df8c3638c34ddd5b28738e94fc2b57929d378", size = 30774447, upload-time = "2026-06-19T15:01:43.456Z" }
|
||||
wheels = [
|
||||
@@ -1980,6 +2028,7 @@ vision = [
|
||||
{ name = "vs-measure", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-pm2d", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-task", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-tools", extra = ["dxf", "locate"], marker = "python_full_version >= '3.13'" },
|
||||
]
|
||||
vision-worker = [
|
||||
{ name = "fastapi", marker = "python_full_version >= '3.13'" },
|
||||
@@ -1991,6 +2040,7 @@ vision-worker = [
|
||||
{ name = "vs-measure", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-pm2d", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-task", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-tools", extra = ["dxf", "locate"], marker = "python_full_version >= '3.13'" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
@@ -2032,6 +2082,7 @@ requires-dist = [
|
||||
{ name = "vs-measure", marker = "python_full_version >= '3.13' and extra == 'vision'", editable = "vendor/visionsuite/packages/vs-measure" },
|
||||
{ name = "vs-pm2d", marker = "python_full_version >= '3.13' and extra == 'vision'", editable = "vendor/visionsuite/packages/vs-pm2d" },
|
||||
{ name = "vs-task", marker = "python_full_version >= '3.13' and extra == 'vision'", editable = "vendor/visionsuite/packages/vs-task" },
|
||||
{ name = "vs-tools", extras = ["locate", "dxf"], marker = "python_full_version >= '3.13' and extra == 'vision'", editable = "vendor/visionsuite/packages/vs-tools" },
|
||||
{ name = "weasyprint", marker = "extra == 'server'", specifier = ">=62.0" },
|
||||
]
|
||||
provides-extras = ["server", "client", "dev", "vision", "vision-worker"]
|
||||
@@ -2157,8 +2208,14 @@ name = "visionsuite"
|
||||
version = "0.0.1"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-core" }
|
||||
dependencies = [
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "opencv-python", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy" },
|
||||
{ name = "opencv-python" },
|
||||
{ name = "pillow" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
dxf = [
|
||||
{ name = "ezdxf" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
@@ -2168,42 +2225,70 @@ requires-dist = [
|
||||
{ name = "numba", marker = "extra == 'fast'", specifier = ">=0.59" },
|
||||
{ name = "numpy", specifier = ">=1.24" },
|
||||
{ name = "opencv-python", specifier = ">=4.8" },
|
||||
{ name = "pillow", specifier = ">=12.2.0" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
|
||||
]
|
||||
provides-extras = ["dev", "fast", "dxf"]
|
||||
|
||||
[[package]]
|
||||
name = "vs-dxf"
|
||||
version = "0.1.0"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-dxf" }
|
||||
dependencies = [
|
||||
{ name = "numpy" },
|
||||
{ name = "opencv-python" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "scipy" },
|
||||
{ name = "visionsuite", extra = ["dxf"] },
|
||||
{ name = "vs-measure" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "numpy", specifier = ">=1.26" },
|
||||
{ name = "opencv-python", specifier = ">=4.9" },
|
||||
{ name = "pydantic", specifier = ">=2.6" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0" },
|
||||
{ name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=4.1" },
|
||||
{ name = "scipy", specifier = ">=1.12" },
|
||||
{ name = "visionsuite", extras = ["dxf"], editable = "vendor/visionsuite/packages/vs-core" },
|
||||
{ name = "vs-measure", editable = "vendor/visionsuite/packages/vs-measure" },
|
||||
]
|
||||
provides-extras = ["dev"]
|
||||
|
||||
[[package]]
|
||||
name = "vs-measure"
|
||||
version = "0.1.0"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-measure" }
|
||||
dependencies = [
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "scipy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "visionsuite", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy" },
|
||||
{ name = "scipy" },
|
||||
{ name = "visionsuite" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "numba", marker = "extra == 'fast'", specifier = ">=0.59" },
|
||||
{ name = "numpy", specifier = ">=1.24" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
|
||||
{ name = "scipy", specifier = ">=1.11" },
|
||||
{ name = "visionsuite", editable = "vendor/visionsuite/packages/vs-core" },
|
||||
]
|
||||
provides-extras = ["dev"]
|
||||
provides-extras = ["dev", "fast"]
|
||||
|
||||
[[package]]
|
||||
name = "vs-pm2d"
|
||||
version = "0.1.0"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-pm2d" }
|
||||
dependencies = [
|
||||
{ name = "fastapi", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numba", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "opencv-python", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "pillow", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "python-multipart", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "uvicorn", extra = ["standard"], marker = "python_full_version >= '3.13'" },
|
||||
{ name = "visionsuite", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "fastapi" },
|
||||
{ name = "numba" },
|
||||
{ name = "numpy" },
|
||||
{ name = "opencv-python" },
|
||||
{ name = "pillow" },
|
||||
{ name = "python-multipart" },
|
||||
{ name = "uvicorn", extra = ["standard"] },
|
||||
{ name = "visionsuite" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
@@ -2226,19 +2311,54 @@ name = "vs-task"
|
||||
version = "0.1.0"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-task" }
|
||||
dependencies = [
|
||||
{ name = "numpy", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "visionsuite", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "vs-measure", marker = "python_full_version >= '3.13'" },
|
||||
{ name = "numpy" },
|
||||
{ name = "visionsuite" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "fastapi", marker = "extra == 'server'", specifier = ">=0.132" },
|
||||
{ name = "httpx", marker = "extra == 'dev'", specifier = ">=0.27" },
|
||||
{ name = "numpy", specifier = ">=1.24" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
|
||||
{ name = "uvicorn", marker = "extra == 'server'", specifier = ">=0.34" },
|
||||
{ name = "visionsuite", editable = "vendor/visionsuite/packages/vs-core" },
|
||||
{ name = "vs-stat", marker = "extra == 'stat'", editable = "vendor/visionsuite/packages/vs-stat" },
|
||||
]
|
||||
provides-extras = ["dev", "stat", "server"]
|
||||
|
||||
[[package]]
|
||||
name = "vs-tools"
|
||||
version = "0.1.0"
|
||||
source = { editable = "vendor/visionsuite/packages/vs-tools" }
|
||||
dependencies = [
|
||||
{ name = "numpy" },
|
||||
{ name = "visionsuite" },
|
||||
{ name = "vs-measure" },
|
||||
{ name = "vs-task" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
dxf = [
|
||||
{ name = "vs-dxf" },
|
||||
]
|
||||
locate = [
|
||||
{ name = "vs-pm2d" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "ezdxf", marker = "extra == 'dev'", specifier = ">=1.0" },
|
||||
{ name = "numpy", specifier = ">=1.24" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
|
||||
{ name = "visionsuite", editable = "vendor/visionsuite/packages/vs-core" },
|
||||
{ name = "vs-dxf", marker = "extra == 'dxf'", editable = "vendor/visionsuite/packages/vs-dxf" },
|
||||
{ name = "vs-measure", editable = "vendor/visionsuite/packages/vs-measure" },
|
||||
{ name = "vs-pm2d", marker = "extra == 'locate'", editable = "vendor/visionsuite/packages/vs-pm2d" },
|
||||
{ name = "vs-task", editable = "vendor/visionsuite/packages/vs-task" },
|
||||
{ name = "vs-tools", extras = ["locate", "dxf"], marker = "extra == 'dev'", editable = "vendor/visionsuite/packages/vs-tools" },
|
||||
]
|
||||
provides-extras = ["dev"]
|
||||
provides-extras = ["locate", "dxf", "dev"]
|
||||
|
||||
[[package]]
|
||||
name = "watchfiles"
|
||||
|
||||
Vendored
+1
-1
Submodule vendor/visionsuite updated: f095fcc254...bc0df1667c
Reference in New Issue
Block a user