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Author SHA1 Message Date
Adriano 9f2d624b4f Worker: endpoint /recipes/dxf-compare con test (#83)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-23 22:40:08 +02:00
Adriano 9fe82d7cef Costruttore ricetta DXF compare dal campo, con test (#83)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-23 22:39:21 +02:00
7 changed files with 505 additions and 624 deletions
+14 -103
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@@ -4,11 +4,8 @@ It does not know, and must not know, whether the server or the station computed
the numbers: that is what lets a station's configuration change without touching
the frontend or the recipes.
"""
import base64
import binascii
import io
import json
from typing import Literal
from fastapi.responses import FileResponse
from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status
@@ -29,7 +26,7 @@ from src.backend.models.api.vision import (
from src.backend.models.orm.vision import VisionResult
from src.backend.models.orm.task import RecipeTask
from src.backend.models.orm.user import User
from src.backend.services import station_service, vision_service
from src.backend.services import vision_service
router = APIRouter(prefix="/api/vision", tags=["vision"])
@@ -188,30 +185,6 @@ def _422(errors: list[str]) -> HTTPException:
)
async def _store_validate_assign(
task: RecipeTask, graph: dict, placed: dict[str, bytes],
) -> tuple[str, dict]:
"""Scrive la cartella ricetta, la fa validare dal worker, la assegna al task.
Condiviso da upload_recipe e dxf-compare con save (#83): stesso
comportamento, un solo posto. Non committa. Ritorna (recipe_dir, check).
"""
# The folder is content-addressed and immutable; writing it before the
# validation is harmless (an orphan folder is never referenced) and the
# worker needs it on disk to validate meta files.
try:
recipe_dir = vision_service.store_recipe_folder(task.id, graph, placed)
except ValueError as exc:
raise _422([str(exc)])
check = await vision_service.validate_recipe(graph, recipe_dir)
if not check["ok"]:
raise _422([str(e) for e in check["errors"]] or ["the recipe is not valid"])
task.vision_json = graph
task.vision_recipe_dir = recipe_dir
return recipe_dir, check
@router.post("/tasks/{task_id}/recipe", response_model=VisionRecipeUploadResponse)
async def upload_recipe(
task_id: int,
@@ -245,7 +218,19 @@ async def upload_recipe(
if errors:
raise _422(errors)
recipe_dir, check = await _store_validate_assign(task, graph, placed)
# The folder is content-addressed and immutable; writing it before the
# validation is harmless (an orphan folder is never referenced) and the
# worker needs it on disk to validate meta files.
try:
recipe_dir = vision_service.store_recipe_folder(task.id, graph, placed)
except ValueError as exc:
raise _422([str(exc)])
check = await vision_service.validate_recipe(graph, recipe_dir)
if not check["ok"]:
raise _422([str(e) for e in check["errors"]] or ["the recipe is not valid"])
task.vision_json = graph
task.vision_recipe_dir = recipe_dir
await db.commit()
return VisionRecipeUploadResponse(
task_id=task.id,
@@ -340,77 +325,3 @@ async def preview(
) -> dict:
task = await _task_or_404(db, task_id)
return await vision_service.preview(db, task, await _read_image(image))
@router.post("/tasks/{task_id}/recipe/dxf-compare")
async def create_dxf_compare_recipe(
task_id: int,
image: UploadFile = File(...),
dxf: UploadFile = File(...),
station_id: int | None = Form(None, gt=0),
px_per_mm: float | None = Form(None, gt=0),
band_mm: float = Form(0.1, gt=0),
min_points_pct: float = Form(95, ge=0, le=100),
polarity: Literal["dark", "light"] = Form("dark"),
save: bool = Form(False),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_maker),
) -> dict:
"""Ricetta DXF compare da un'immagine e un DXF, senza Studio (#83).
La scala e' `px_per_mm`, o quella della stazione (letta dall'acquisitore).
Con save=false si vede il risultato e non si scrive nulla; con save=true la
ricetta va sul task come con l'upload, e se il task non ha nessuna quota di
visione nasce la quota «Punti in tolleranza».
"""
task = await _task_or_404(db, task_id)
if task.task_type not in vision_service.VISION_TASK_TYPES:
raise _422([f"task type {task.task_type!r} does not run a vision recipe"])
station = None
if station_id is not None:
station = await station_service.get_station(db, station_id) # 404 se non esiste
if px_per_mm is None:
calibration, reason = await vision_service.fetch_station_calibration(station)
if calibration is None:
# irraggiungibile e non calibrata sono due guasti diversi per chi lo legge
raise _422([
"acquisitore della stazione non raggiungibile"
if reason == vision_service.CAL_UNREACHABLE else "stazione non calibrata"
])
px_per_mm = float(calibration["px_per_mm"])
image_bytes = await _read_image(image)
dxf_bytes = await dxf.read()
if not validate_file_size(len(dxf_bytes)):
raise _422([f"the DXF exceeds {settings.max_upload_size_mb}MB"])
body = await vision_service.dxf_compare_recipe(
image_bytes, dxf_bytes,
px_per_mm=px_per_mm, band_mm=band_mm, min_points_pct=min_points_pct,
polarity=polarity,
worker_url=(station.vision_worker_url or None) if station is not None else None,
)
# i file stanno nella ricetta salvata, non nella risposta al client
files = body.pop("files")
response = {"result": body, "saved": False, "recipe_dir": None, "outputs": None}
if not save:
return response
uploads: list[tuple[str, bytes]] = []
for name, encoded in files.items():
try:
uploads.append((name, base64.b64decode(encoded, validate=True)))
except (binascii.Error, ValueError, TypeError):
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"the vision worker's answer was malformed: file {name!r} is not base64",
)
placed, errors = vision_service.match_recipe_files(body["graph"], uploads)
if errors:
raise _422(errors)
recipe_dir, check = await _store_validate_assign(task, body["graph"], placed)
await vision_service.ensure_points_quote(db, task, min_points_pct)
await db.commit()
response.update(saved=True, recipe_dir=recipe_dir, outputs=check["outputs"])
return response
+2 -183
View File
@@ -7,7 +7,6 @@ from __future__ import annotations
import hashlib
import json
import logging
import math
from pathlib import Path
from uuid import uuid4
@@ -25,8 +24,6 @@ from src.backend.models.orm.task import RecipeSubtask, RecipeTask
from src.backend.models.orm.vision import VisionReferenceImage, VisionResult
from src.backend.services import measurement_service
logger = logging.getLogger(__name__)
# Worker responses whose status and reason are forwarded as-is rather than
# flattened into a generic 502 - see `_call_worker`.
_FORWARDED_WORKER_STATUSES = frozenset({
@@ -143,136 +140,6 @@ async def _call_worker(
return report
async def call_worker_multipart(
path: str,
*,
files: dict,
data: dict,
worker_url: str | None = None,
timeout: float = 120.0,
) -> dict:
"""POST multipart generico al worker (#83): /recipes/dxf-compare.
Stessa traduzione degli errori di `_call_worker`: 504 sul timeout, 502 sul
trasporto o su una risposta non JSON-oggetto; 422/503/504 del worker si
inoltrano cosi' come sono. Worker della stazione o, se manca, il centrale.
"""
base = (worker_url or settings.vision_worker_url).rstrip("/")
try:
async with httpx.AsyncClient(timeout=timeout) as client:
response = await client.post(f"{base}{path}", files=files, data=data)
except httpx.TimeoutException as exc:
raise HTTPException(
status_code=status.HTTP_504_GATEWAY_TIMEOUT,
detail=f"the vision worker did not answer in time: {exc} ({base})",
) from exc
except (httpx.TransportError, httpx.HTTPError) as exc:
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"the vision worker is unreachable: {exc} ({base})",
) from exc
if response.status_code in _FORWARDED_WORKER_STATUSES:
try:
detail = response.json().get("detail", response.text)
except ValueError:
detail = response.text
raise HTTPException(status_code=response.status_code, detail=detail)
if response.status_code != 200:
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"the vision worker refused the job: {response.text}",
)
try:
body = response.json()
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"the vision worker's answer was malformed: not valid JSON ({exc})",
) from exc
if not isinstance(body, dict):
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail="the vision worker's answer was malformed: expected a JSON object",
)
return body
async def dxf_compare_recipe(
image_bytes: bytes, dxf_bytes: bytes, *, px_per_mm: float, band_mm: float,
min_points_pct: float, polarity: str, worker_url: str | None = None,
) -> dict:
"""W2: ricetta dxf-compare da immagine + DXF (#83). Sostituita dai test."""
body = await call_worker_multipart(
"/recipes/dxf-compare",
files={
"image": ("frame.png", image_bytes, "image/png"),
"dxf": ("disegno.dxf", dxf_bytes, "application/octet-stream"),
},
data={
"px_per_mm": str(px_per_mm), "band_mm": str(band_mm),
"min_points_pct": str(min_points_pct), "polarity": polarity,
},
worker_url=worker_url,
)
# forma minima del contratto W2: senza graph e files non c'e' nulla da salvare
if not isinstance(body.get("graph"), dict) or not isinstance(body.get("files"), dict):
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail="the vision worker's answer was malformed: missing graph or files",
)
return body
# Stati di fetch_station_calibration (#83)
CAL_OK = "ok"
CAL_NO_CAMERA = "no_camera" # la stazione non ha camera_url/camera_source
CAL_NOT_CALIBRATED = "not_calibrated" # l'acquisitore risponde 404 (o un valore inutilizzabile)
CAL_UNREACHABLE = "unreachable" # l'acquisitore non risponde
async def fetch_station_calibration(station: Station | None) -> tuple[dict | None, str]:
"""Legge la calibrazione dall'acquisitore della stazione (C1, #83).
GET {camera_url}/camera/calibration?source={camera_source}. La calibrazione
vive nell'acquisitore: TMF la legge, non la tiene. Ritorna (dict, "ok")
oppure (None, motivo) per distinguere «non calibrata» da «irraggiungibile».
Un px_per_mm non finito o <= 0 conta come non calibrata.
"""
if station is None or not station.camera_url or not station.camera_source:
return None, CAL_NO_CAMERA
url = f"{station.camera_url.rstrip('/')}/camera/calibration"
try:
# timeout breve: e' una lettura di servizio, non deve bloccare l'execute
async with httpx.AsyncClient(timeout=5.0) as client:
response = await client.get(url, params={"source": station.camera_source})
except httpx.HTTPError as exc:
logger.warning("acquisitore della stazione %s non raggiungibile: %s", station.code, exc)
return None, CAL_UNREACHABLE
if response.status_code == status.HTTP_404_NOT_FOUND:
return None, CAL_NOT_CALIBRATED
if response.status_code != 200:
logger.warning(
"acquisitore della stazione %s: HTTP %s", station.code, response.status_code,
)
return None, CAL_UNREACHABLE
try:
body = response.json()
except ValueError:
logger.warning("acquisitore della stazione %s: risposta non JSON", station.code)
return None, CAL_UNREACHABLE
px_per_mm = body.get("px_per_mm") if isinstance(body, dict) else None
if not (_is_measurable(px_per_mm) and px_per_mm > 0):
return None, CAL_NOT_CALIBRATED
return body, CAL_OK
async def get_station_calibration(station: Station | None) -> dict | None:
"""La calibrazione C1 della stazione, o None in ogni altro caso (#83)."""
calibration, _ = await fetch_station_calibration(station)
return calibration
async def validate_recipe(graph: dict, recipe_dir: str | None) -> dict:
"""Ask the worker's /validate whether a v2 recipe is loadable (#46).
@@ -498,14 +365,11 @@ async def execute_task(
)
# Worker della stazione della sessione di produzione (#45); senza run o senza URL: centrale
station_url = None
# Calibrazione letta dall'acquisitore della stazione (#83); None = non c'e'
calibration = None
if run is not None:
station = (await db.execute(
select(Station).where(Station.id == run.station_id)
)).scalar_one_or_none()
station_url = (station.vision_worker_url or None) if station is not None else None
calibration = await get_station_calibration(station)
if not task.vision_json:
raise HTTPException(
@@ -555,15 +419,11 @@ async def execute_task(
),
)
# La calibrazione viene dall'acquisitore della stazione (#83); se non c'e',
# non si passa `calibration` e la ricetta porta la sua (#46).
worker_kwargs: dict = {}
if calibration is not None:
worker_kwargs["calibration"] = {"px_per_mm": float(calibration["px_per_mm"])}
# Nessuna fonte di calibrazione esiste oggi (ne' task ne' stazione): non si
# passa `calibration`, la ricetta porta la sua (#46).
report = await _call_worker(
image_bytes, task.vision_json, recipe_dir=task.vision_recipe_dir,
worker_url=station_url, # #45
**worker_kwargs,
)
outputs = report["outputs"]
@@ -597,8 +457,6 @@ async def execute_task(
station_id=run.station_id if run is not None else None,
worker_url=(station_url or settings.vision_worker_url).rstrip("/"),
graph_snapshot=task.vision_json,
# copiata come il grafo (#83): ricalibrare dopo non cambia cio' che e' stato misurato
calibration_snapshot=calibration,
duration_ms=report.get("duration_ms"),
)
db.add(result)
@@ -743,42 +601,3 @@ async def preview(db: AsyncSession, task: RecipeTask, image_bytes: bytes) -> dic
return await _call_worker(
image_bytes, task.vision_json, recipe_dir=task.vision_recipe_dir,
)
async def ensure_points_quote(
db: AsyncSession, task: RecipeTask, min_points_pct: float,
) -> bool:
"""Crea la quota «Punti in tolleranza» se il task non ha nessuna quota di visione (#83).
Una sola volta: se esiste gia' una quota con `vision_output`, non si tocca.
Se la versione ha gia' misure non si scrive (il copy-on-write sta nel router
dei task, qui non si aggira): ritorna False. Ritorna True se l'ha creata.
"""
from src.backend.services import recipe_service # import locale: evita cicli
existing = (await db.execute(
select(RecipeSubtask.id)
.where(RecipeSubtask.task_id == task.id)
.where(RecipeSubtask.vision_output.is_not(None))
.limit(1)
)).scalar_one_or_none()
if existing is not None:
return False
if await recipe_service.version_has_measurements(db, task.version_id):
return False
markers = (await db.execute(
select(RecipeSubtask.marker_number).where(RecipeSubtask.task_id == task.id)
)).scalars().all()
db.add(RecipeSubtask(
task_id=task.id,
marker_number=max(markers, default=0) + 1, # unico per task (uq_task_marker)
description="Punti in tolleranza",
nominal=100,
# limiti assoluti come nel resto delle quote: passa se punti% >= min_points_pct
ltl=min_points_pct,
utl=100,
unit="%",
vision_output="dxf.points_in_pct",
))
await db.flush()
return True
@@ -1,338 +0,0 @@
"""#83: ricetta DXF compare da camera e calibrazione letta dall'acquisitore.
Il worker (W2) e l'acquisitore (C1) non girano nei test: si fingono, come
fanno gli altri test di visione. La calibrazione vive nell'acquisitore esterno,
TMF la legge via GET {camera_url}/camera/calibration.
"""
import base64
import json
import httpx
import pytest
from sqlalchemy import select
from src.backend.config import settings
from src.backend.models.orm.station import Station
from src.backend.models.orm.task import RecipeSubtask
from src.backend.models.orm.vision import VisionResult
from src.backend.services import vision_service
from src.backend.tests.conftest import auth_headers
from src.backend.tests.test_vision_recipe_upload import an_image, make_task
from src.backend.tests.test_vision_station_worker import ( # noqa: F401 (fixture worker_calls)
_camera_task, _execute, _station_with_run, worker_calls,
)
CAMERA_URL = "http://10.0.0.9:8200"
CAL = {
"source": "camera:A1", "px_per_mm": 12.5, "mm_per_px": 0.08, "rms_px": 0.2,
"n_corners": 40, "cols": 8, "rows": 5, "square_mm": 5.0, "image_width": 640,
"image_height": 480, "scale_spread_pct": 0.1, "calibrated_at": "2026-10-23T10:00:00",
}
GRAPH = {
"schema_version": 2, "name": "dxf-compare", "tools": [],
"meta": {"dxf": {"disegno": {"path": "disegno.dxf"}}, "calibration": {"path": "calibrazione.json"}},
}
OUTPUTS = [{"key": "dxf.points_in_pct", "quantity": "ratio", "unit": "%"}]
def _b64(data: bytes) -> str:
return base64.b64encode(data).decode()
@pytest.fixture(autouse=True)
def redirect_uploads(monkeypatch, tmp_path):
# upload_path = parents[2] / upload_dir: un assoluto sostituisce la base
monkeypatch.setattr(settings, "upload_dir", str(tmp_path))
@pytest.fixture
def w2(monkeypatch):
"""Finto worker W2: ricorda le chiamate e risponde col corpo del contratto."""
calls: list[dict] = []
async def fake(image_bytes, dxf_bytes, **kwargs):
calls.append({"dxf": dxf_bytes, **kwargs})
return {
"graph": GRAPH,
"files": {
"disegno.dxf": _b64(dxf_bytes),
"calibrazione.json": _b64(json.dumps({"px_per_mm": kwargs["px_per_mm"]}).encode()),
},
"outputs": {"dxf.points_in_pct": 99.0},
"overlay": [], "outcome": "pass",
}
monkeypatch.setattr("src.backend.services.vision_service.dxf_compare_recipe", fake)
return calls
@pytest.fixture
def validate_ok(monkeypatch):
async def fake(graph, recipe_dir):
return {"ok": True, "errors": [], "outputs": OUTPUTS}
monkeypatch.setattr("src.backend.services.vision_service.validate_recipe", fake)
@pytest.fixture
def acquisitore(monkeypatch):
"""Finto C1: `state['cal']` = dict (200), None (404), 'down' (irraggiungibile)."""
state: dict = {"cal": CAL, "urls": []}
class _Resp:
def __init__(self, code, body=None):
self.status_code, self._body, self.text = code, body, ""
def json(self):
return self._body
class _Client:
def __init__(self, *a, **k):
pass
async def __aenter__(self):
return self
async def __aexit__(self, *exc):
return False
async def get(self, url, params=None):
state["urls"].append((url, params))
if state["cal"] == "down":
raise httpx.ConnectError("giu'")
if state["cal"] is None:
return _Resp(404)
return _Resp(200, state["cal"])
monkeypatch.setattr(httpx, "AsyncClient", _Client)
return state
async def _station(db_session, user, *, camera=True, worker_url=None, code="ST-C"):
station = Station(
code=code, name="Stazione C", active=True, created_by=user.id,
vision_worker_url=worker_url,
camera_url=CAMERA_URL if camera else None,
camera_source="camera:A1" if camera else None,
)
db_session.add(station)
await db_session.commit()
await db_session.refresh(station)
return station
def _post(client, user, task, *, save=False, **data):
return client.post(
f"/api/vision/tasks/{task.id}/recipe/dxf-compare",
headers=auth_headers(user),
files={
"image": ("p.png", an_image(), "image/png"),
"dxf": ("d.dxf", b"0\nEOF", "application/octet-stream"),
},
data={"save": str(save).lower(), **{k: str(v) for k, v in data.items() if v is not None}},
)
# --- lettura della calibrazione dall'acquisitore (C1) -------------------------
@pytest.mark.asyncio
async def test_fetch_calibration_ok(db_session, maker_user, acquisitore):
station = await _station(db_session, maker_user)
cal, reason = await vision_service.fetch_station_calibration(station)
assert (cal, reason) == (CAL, "ok")
assert acquisitore["urls"] == [(f"{CAMERA_URL}/camera/calibration", {"source": "camera:A1"})]
@pytest.mark.asyncio
async def test_fetch_calibration_reasons(db_session, maker_user, acquisitore):
station = await _station(db_session, maker_user)
acquisitore["cal"] = None
assert await vision_service.fetch_station_calibration(station) == (None, "not_calibrated")
acquisitore["cal"] = "down"
assert await vision_service.fetch_station_calibration(station) == (None, "unreachable")
assert await vision_service.get_station_calibration(station) is None
acquisitore["cal"] = {**CAL, "px_per_mm": 0} # valore inutilizzabile = non calibrata
assert await vision_service.fetch_station_calibration(station) == (None, "not_calibrated")
no_camera = await _station(db_session, maker_user, camera=False, code="ST-N")
assert await vision_service.fetch_station_calibration(no_camera) == (None, "no_camera")
assert await vision_service.fetch_station_calibration(None) == (None, "no_camera")
# --- B3: POST /api/vision/tasks/{id}/recipe/dxf-compare -----------------------
@pytest.mark.asyncio
async def test_dxf_compare_preview_writes_nothing(
client, db_session, maker_user, w2, acquisitore,
):
task, subtask = await make_task(db_session, maker_user)
station = await _station(db_session, maker_user, worker_url="http://10.0.0.7:8100")
resp = await _post(client, maker_user, task, station_id=station.id, band_mm=0.2,
min_points_pct=90, polarity="light")
assert resp.status_code == 200, resp.text
body = resp.json()
assert body["saved"] is False and body["recipe_dir"] is None and body["outputs"] is None
assert "files" not in body["result"] and body["result"]["graph"] == GRAPH
# px_per_mm dall'acquisitore, parametri e worker della stazione
assert w2[0]["px_per_mm"] == 12.5 and w2[0]["band_mm"] == 0.2
assert w2[0]["min_points_pct"] == 90 and w2[0]["polarity"] == "light"
assert w2[0]["worker_url"] == "http://10.0.0.7:8100"
await db_session.refresh(task)
assert task.vision_json is None and task.vision_recipe_dir is None
quotes = (await db_session.execute(
select(RecipeSubtask).where(RecipeSubtask.task_id == task.id))).scalars().all()
assert [q.id for q in quotes] == [subtask.id] # nessuna quota nuova
assert not (settings.upload_path / "vision" / "recipes").exists()
@pytest.mark.asyncio
async def test_dxf_compare_save_stores_recipe_and_quote_once(
client, db_session, maker_user, w2, validate_ok,
):
task, _ = await make_task(db_session, maker_user)
resp = await _post(client, maker_user, task, save=True, px_per_mm=10, min_points_pct=95)
assert resp.status_code == 200, resp.text
body = resp.json()
assert body["saved"] is True and body["outputs"] == OUTPUTS
assert "files" not in body["result"]
folder = settings.upload_path / body["recipe_dir"]
assert (folder / "disegno.dxf").read_bytes() == b"0\nEOF"
assert json.loads((folder / "calibrazione.json").read_text()) == {"px_per_mm": 10.0}
await db_session.refresh(task)
assert task.vision_json == GRAPH and task.vision_recipe_dir == body["recipe_dir"]
quotes = (await db_session.execute(
select(RecipeSubtask).where(RecipeSubtask.vision_output == "dxf.points_in_pct")
.where(RecipeSubtask.task_id == task.id))).scalars().all()
assert len(quotes) == 1
q = quotes[0]
assert q.description == "Punti in tolleranza"
assert (float(q.nominal), float(q.ltl), float(q.utl)) == (100.0, 95.0, 100.0)
# secondo salvataggio: la quota non si duplica
task_id = task.id # dopo expire_all l'attributo scaduto non si rilegge in async
again = await _post(client, maker_user, task, save=True, px_per_mm=10)
assert again.status_code == 200
db_session.expire_all()
count = (await db_session.execute(
select(RecipeSubtask).where(RecipeSubtask.vision_output.is_not(None))
.where(RecipeSubtask.task_id == task_id))).scalars().all()
assert len(count) == 1
@pytest.mark.asyncio
async def test_dxf_compare_keeps_an_existing_vision_quote(
client, db_session, maker_user, w2, validate_ok,
):
task, subtask = await make_task(db_session, maker_user)
subtask.vision_output = "t1.diameter"
await db_session.commit()
resp = await _post(client, maker_user, task, save=True, px_per_mm=10)
assert resp.status_code == 200, resp.text
quotes = (await db_session.execute(
select(RecipeSubtask).where(RecipeSubtask.task_id == task.id))).scalars().all()
assert len(quotes) == 1 # niente quota in piu'
@pytest.mark.asyncio
async def test_dxf_compare_uncalibrated_station_is_422(
client, db_session, maker_user, w2, acquisitore,
):
task, _ = await make_task(db_session, maker_user)
station = await _station(db_session, maker_user)
acquisitore["cal"] = None
resp = await _post(client, maker_user, task, station_id=station.id)
assert resp.status_code == 422
assert resp.json()["detail"] == ["stazione non calibrata"]
assert w2 == []
@pytest.mark.asyncio
async def test_dxf_compare_unreachable_acquirer_is_422_with_its_own_message(
client, db_session, maker_user, w2, acquisitore,
):
task, _ = await make_task(db_session, maker_user)
station = await _station(db_session, maker_user)
acquisitore["cal"] = "down"
resp = await _post(client, maker_user, task, station_id=station.id)
assert resp.status_code == 422
assert resp.json()["detail"] == ["acquisitore della stazione non raggiungibile"]
@pytest.mark.asyncio
async def test_dxf_compare_without_station_nor_scale_is_422(client, db_session, maker_user, w2):
task, _ = await make_task(db_session, maker_user)
resp = await _post(client, maker_user, task)
assert resp.status_code == 422 and resp.json()["detail"] == ["stazione non calibrata"]
@pytest.mark.asyncio
async def test_dxf_compare_needs_maker(client, db_session, maker_user, measurement_tec_user, w2):
task, _ = await make_task(db_session, maker_user)
resp = await _post(client, measurement_tec_user, task, px_per_mm=10)
assert resp.status_code == 403
@pytest.mark.asyncio
async def test_dxf_compare_worker_422_is_forwarded(
client, db_session, maker_user, monkeypatch,
):
from fastapi import HTTPException
async def refuse(*a, **k):
raise HTTPException(status_code=422, detail="pezzo non trovato")
monkeypatch.setattr("src.backend.services.vision_service.dxf_compare_recipe", refuse)
task, _ = await make_task(db_session, maker_user)
resp = await _post(client, maker_user, task, px_per_mm=10)
assert resp.status_code == 422 and resp.json()["detail"] == "pezzo non trovato"
# --- execute: calibrazione della stazione -------------------------------------
@pytest.mark.asyncio
async def test_execute_passes_station_calibration_and_snapshots_it(
client, db_session, measurement_tec_user, worker_calls, acquisitore,
):
recipe, task = await _camera_task(db_session, measurement_tec_user.id)
station, run = await _station_with_run(db_session, measurement_tec_user, recipe, None)
station.camera_url, station.camera_source = CAMERA_URL, "camera:A1"
await db_session.commit()
await _execute(client, measurement_tec_user, task, run)
assert worker_calls[0]["calibration"] == {"px_per_mm": 12.5}
result = (await db_session.execute(select(VisionResult))).scalars().one()
assert result.calibration_snapshot == CAL
@pytest.mark.asyncio
async def test_execute_without_calibration_is_unchanged(
client, db_session, measurement_tec_user, worker_calls, acquisitore,
):
recipe, task = await _camera_task(db_session, measurement_tec_user.id)
station, run = await _station_with_run(db_session, measurement_tec_user, recipe, None)
station.camera_url, station.camera_source = CAMERA_URL, "camera:A1"
await db_session.commit()
acquisitore["cal"] = "down" # acquisitore giu': si misura come prima, senza calibrazione
await _execute(client, measurement_tec_user, task, run)
assert "calibration" not in worker_calls[0]
result = (await db_session.execute(select(VisionResult))).scalars().one()
assert result.calibration_snapshot is None
@pytest.mark.asyncio
async def test_execute_station_without_camera_never_asks(
client, db_session, measurement_tec_user, worker_calls, acquisitore,
):
recipe, task = await _camera_task(db_session, measurement_tec_user.id)
_, run = await _station_with_run(db_session, measurement_tec_user, recipe, None)
await _execute(client, measurement_tec_user, task, run)
assert acquisitore["urls"] == [] and "calibration" not in worker_calls[0]
+228
View File
@@ -0,0 +1,228 @@
"""Costruttore di ricette DXF compare dal campo (immagine + DXF + scala -> ricetta v2).
Logica pura, niente FastAPI ne' database: il worker (src/vision_worker/main.py)
lo espone come /recipes/dxf-compare, i test lo chiamano direttamente. Tutta la
visione sta in TieVision-Core (visionsuite.*). La calibrazione a scacchiera NON
sta qui: vive nell'acquisitore (scripts/calibrazione.py, #83).
Errori di input (pezzo non trovato, DXF illeggibile, parametri fuori range)
sono `CostruttoreError`: il worker li mappa a 422.
"""
from __future__ import annotations
import base64
import hashlib
import json
import math
import tempfile
from pathlib import Path
import numpy as np
from visionsuite.core.image import Image
from src.vision.runner import RunOutcome, run_graph
class CostruttoreError(ValueError):
"""Input che non permette di costruire (422 per il worker), non un guasto."""
# Nomi/id fissi della ricetta (contratto #83 con backend e frontend).
DXF_FILE = "disegno.dxf"
CALIBRATION_FILE = "calibrazione.json"
_POLARITIES = ("dark", "light")
# Pose iniziali del disegno provate (gradi): il verso del pezzo non e' noto.
_OUTPUT_KEYS = ("dxf.points_in_pct", "dxf.distance_avg", "dxf.distance_min", "dxf.distance_max")
_START_ANGLES = (0.0, 90.0, 180.0, 270.0)
def _b64(data: bytes) -> str:
return base64.b64encode(data).decode("ascii")
def _gray_u8(pixels: np.ndarray) -> np.ndarray:
"""Immagine -> grigio uint8 2D (LocateBlob accetta solo uint8)."""
px = np.asarray(pixels)
if px.ndim == 3:
px = px[..., 0] # multicanale: il primo, come fa LocateBlob
if px.dtype != np.uint8:
# float/uint16 -> scala sul massimo, come _to_gray_uint8 di vs-core
m = float(px.max()) if px.size else 1.0
px = np.clip(px.astype(np.float32) / max(m, 1e-9) * 255, 0, 255).astype(np.uint8)
return np.ascontiguousarray(px)
# ------------------------------------------------------------------ W2
def _graph(dxf_sha: str, cal_sha: str, band_mm: float, min_points_pct: float, polarity: str,
reference_pose: dict, anchor: tuple[float, float, float] | None) -> dict:
"""Ricetta v2 fissa: LocateBlob "pezzo" + CompareDxf "dxf" agganciato a `align`.
`anchor` = (riga, colonna, angolo) dell'origine del disegno nell'immagine di
riferimento; None = solo il localizzatore (passo intermedio).
"""
tools: list[dict] = [{
"id": "pezzo", "name": "Pezzo", "kind": "LocateBlob",
"values": {"polarity": polarity, "reference_pose": reference_pose},
"links": {},
}]
if anchor is not None:
row, col, angle = anchor
tools.append({
"id": "dxf", "name": "Confronto DXF", "kind": "CompareDxf",
"values": {
"dxf": "disegno",
"anchor": "align",
"anchor_offset_row_px": float(row),
"anchor_offset_col_px": float(col),
"offset_angle_deg": float(angle),
"band_plus": float(band_mm),
"band_minus": float(band_mm),
"nominal_unit": "mm",
# tolleranza di points_in_pct: nominale = limite, plus = 100 - limite
"points_in_pct_nominal": float(min_points_pct),
"points_in_pct_plus": float(100.0 - min_points_pct),
"points_in_pct_minus": 0.0,
},
"links": {"align": {"tool": "pezzo", "property": "poses"}},
})
return {
"schema_version": 2,
"name": "Confronto DXF",
# sha256 obbligatorio per vs-task (verifica i file della cartella ricetta)
"meta": {"dxf": {"disegno": {"path": DXF_FILE, "sha256": dxf_sha}},
"calibration": {"path": CALIBRATION_FILE, "sha256": cal_sha}},
"tools": tools,
}
def _locate_reference(gray: np.ndarray, polarity: str) -> dict:
"""Posa del pezzo sull'immagine di riferimento (LocateBlob, soglia Otsu)."""
from visionsuite.task import Task, load_tools
load_tools()
graph = _graph('', '', 1.0, 95.0, polarity, {"row": 0.0, "col": 0.0, "angle_deg": 0.0}, None)
task = Task.from_dict(graph)
task.run(context={"image": Image(gray)})
pezzo = task["Pezzo"]
if not pezzo.found_poses:
raise CostruttoreError(
"pezzo non trovato nell'immagine di riferimento "
f"(polarity={polarity}): controllare luce, sfondo e polarita'"
)
return pezzo.found_poses[0].to_dict()
def _candidate_anchors(gray: np.ndarray, dxf_path: Path, px_per_mm: float) -> list[tuple[float, float, float]]:
"""Pose (riga, col, angolo) del disegno sull'immagine: ICP da 4 orientamenti.
Il disegno e' in px (origine DXF, y capovolta); si parte da ognuno dei 4
angoli con i centroidi sovrapposti e l'ICP rifinisce. Ritorna le posa trovate
(anche per orientamenti che non convergono: le giudica la ricetta eseguita).
"""
from visionsuite.calibration import ScaleCalibration
from visionsuite.dxf.compare import DXFCompare, _stack
from visionsuite.task.pose import Pose
cmp_ = DXFCompare(dxf_path, ScaleCalibration(px_per_mm=px_per_mm))
drawing = _stack(cmp_.drawing_contours())
measured = _stack(cmp_.measured_contours(Image(gray)))
if len(drawing) < 3:
raise CostruttoreError("DXF senza geometria utilizzabile")
if len(measured) < 3:
raise CostruttoreError("pezzo non trovato: nessun bordo nell'immagine")
dc, mc = drawing.mean(axis=0), measured.mean(axis=0)
anchors = []
for theta in _START_ANGLES:
# traslazione che porta il centroide del disegno ruotato sul misurato
rr, cc = Pose(0.0, 0.0, theta).apply(dc[0], dc[1])
start = Pose(float(mc[0] - rr), float(mc[1] - cc), theta)
try:
result = cmp_.compare(Image(gray), initial_pose=start)
except Exception: # noqa: BLE001 - un orientamento che cade non ferma gli altri
continue
# transform: misurato -> disegno; la posa del disegno e' l'inversa
m = np.linalg.inv(result.transform)
angle = math.degrees(math.atan2(m[1, 0], m[0, 0]))
anchors.append((float(m[0, 2]), float(m[1, 2]), angle))
return anchors
def _run(gray, graph, px_per_mm, folder) -> RunOutcome:
return run_graph(gray, graph, calibration={"px_per_mm": px_per_mm}, recipe_dir=folder)
def build_dxf_compare(
gray,
dxf_bytes: bytes,
px_per_mm: float,
band_mm: float = 0.1,
min_points_pct: float = 95.0,
polarity: str = "dark",
) -> dict:
"""Ricetta DXF compare dall'immagine di riferimento + disegno + scala.
Ritorna {graph, files, outputs, overlay, outcome}. `files` sono i due file
della cartella ricetta (b64): disegno.dxf e calibrazione.json.
"""
if not (px_per_mm > 0 and math.isfinite(px_per_mm)):
raise CostruttoreError("px_per_mm deve essere > 0")
if not (band_mm > 0 and math.isfinite(band_mm)):
raise CostruttoreError("band_mm deve essere > 0")
if not (0 < min_points_pct <= 100):
raise CostruttoreError("min_points_pct deve stare in (0, 100]")
if polarity not in _POLARITIES:
raise CostruttoreError(f"polarity deve essere una di {list(_POLARITIES)}")
if not dxf_bytes:
raise CostruttoreError("DXF vuoto")
frame = _gray_u8(gray)
calibration_bytes = json.dumps({"px_per_mm": px_per_mm}).encode("utf-8")
dxf_sha = hashlib.sha256(dxf_bytes).hexdigest()
cal_sha = hashlib.sha256(calibration_bytes).hexdigest()
with tempfile.TemporaryDirectory() as tmp:
folder = Path(tmp)
dxf_path = folder / DXF_FILE
dxf_path.write_bytes(dxf_bytes)
(folder / CALIBRATION_FILE).write_bytes(calibration_bytes)
# DXF leggibile? (ezdxf solleva su file corrotto/non DXF)
from visionsuite.io.dxf import read_xld_dxf
try:
drawing = list(read_xld_dxf(str(dxf_path), sampling_distance=0.1,
scale=px_per_mm, flip_y=True))
except Exception as exc: # noqa: BLE001 - qualunque errore di lettura = DXF illeggibile
raise CostruttoreError(f"DXF illeggibile: {type(exc).__name__}: {exc}") from exc
if not drawing:
raise CostruttoreError("DXF illeggibile: nessuna entita' geometrica")
reference_pose = _locate_reference(frame, polarity)
anchors = _candidate_anchors(frame, dxf_path, px_per_mm)
if not anchors:
raise CostruttoreError("disegno non sovrapponibile al pezzo (ICP fallito)")
# Verita' = eseguire davvero la ricetta sul riferimento: vince il maggior points_in_pct
best: tuple[float, dict, RunOutcome] | None = None
for anchor in anchors:
graph = _graph(dxf_sha, cal_sha, band_mm, min_points_pct, polarity, reference_pose, anchor)
outcome = _run(frame, graph, px_per_mm, folder)
pct = outcome.outputs.get("dxf.points_in_pct")
if pct is not None and (best is None or pct > best[0]):
best = (pct, graph, outcome)
if best is None:
raise CostruttoreError(
"disegno non sovrapponibile al pezzo: il confronto non ha prodotto punti"
)
_, graph, outcome = best
# solo le quattro uscite del contratto (n_points resta fuori)
outputs = {k: v for k, v in outcome.outputs.items() if k in _OUTPUT_KEYS}
return {
"graph": graph,
"files": {DXF_FILE: _b64(dxf_bytes), CALIBRATION_FILE: _b64(calibration_bytes)},
"outputs": outputs,
"overlay": outcome.overlay,
"outcome": outcome.outcome,
}
+114
View File
@@ -0,0 +1,114 @@
"""Costruttore di ricette dal campo: immagine + DXF + scala -> ricetta v2."""
import pytest
# Come test_runner.py: l'albero vision richiede Python >=3.13; su 3.11 e' skipped.
pytest.importorskip(
"visionsuite.task",
reason=(
"the vision tree requires Python >=3.13; run it with "
"`uv run --python 3.13 --extra vision --extra dev pytest src/vision/tests`"
),
)
import base64
import json
from pathlib import Path
import cv2
import numpy as np
from src.vision.costruttori import (
CALIBRATION_FILE,
DXF_FILE,
CostruttoreError,
build_dxf_compare,
)
from src.vision.runner import run_graph
SAMPLE_DXF = (
Path(__file__).resolve().parents[3]
/ "vendor/visionsuite/packages/vs-dxf/tests/fixtures/sample.dxf"
)
DXF_WIDTH_MM, DXF_HEIGHT_MM, DXF_HOLE_R_MM = 200.0, 100.0, 10.0
PX_PER_MM = 4.0
def a_scene(angle_deg: float = 0.0, shift_px: tuple[float, float] = (0.0, 0.0),
margin_mm: float = 60.0) -> np.ndarray:
"""Il pezzo del sample.dxf (scuro su bianco) a 4 px/mm, ruotato e traslato."""
w = int((DXF_WIDTH_MM + 2 * margin_mm) * PX_PER_MM)
h = int((DXF_HEIGHT_MM + 2 * margin_mm) * PX_PER_MM)
img = np.full((h, w), 255, np.uint8)
cx, cy = w // 2, h // 2
hw, hh = int(DXF_WIDTH_MM * PX_PER_MM / 2), int(DXF_HEIGHT_MM * PX_PER_MM / 2)
cv2.rectangle(img, (cx - hw, cy - hh), (cx + hw, cy + hh), 0, -1)
cv2.circle(img, (cx, cy), int(DXF_HOLE_R_MM * PX_PER_MM), 255, -1)
if angle_deg or any(shift_px):
m = cv2.getRotationMatrix2D((cx, cy), angle_deg, 1.0) # >0 = antiorario a video
m[0, 2] += shift_px[0]
m[1, 2] += shift_px[1]
img = cv2.warpAffine(img, m, (w, h), flags=cv2.INTER_LINEAR, borderValue=255)
return img
# ------------------------------------------------------------------ ricetta DXF
def test_ricetta_dxf_gira_su_riferimento_e_su_scena_ruotata(tmp_path):
dxf = SAMPLE_DXF.read_bytes()
risultato = build_dxf_compare(a_scene(0.0), dxf, px_per_mm=PX_PER_MM, band_mm=2.0)
assert risultato["outputs"]["dxf.points_in_pct"] > 95.0 # sul riferimento
assert set(risultato["outputs"]) == {
"dxf.points_in_pct", "dxf.distance_avg", "dxf.distance_min", "dxf.distance_max"}
assert set(risultato["files"]) == {DXF_FILE, CALIBRATION_FILE}
assert json.loads(base64.b64decode(risultato["files"][CALIBRATION_FILE])) == {
"px_per_mm": PX_PER_MM}
assert risultato["overlay"] and risultato["outcome"] is not None
graph = risultato["graph"]
assert graph["schema_version"] == 2
# path come da contratto; lo sha256 lo esige vs-task per ogni file in meta
assert graph["meta"]["dxf"]["disegno"]["path"] == "disegno.dxf"
assert graph["meta"]["calibration"]["path"] == "calibrazione.json"
assert len(graph["meta"]["dxf"]["disegno"]["sha256"]) == 64
pezzo, dxf_tool = graph["tools"]
assert (pezzo["id"], pezzo["kind"], pezzo["name"]) == ("pezzo", "LocateBlob", "Pezzo")
assert (dxf_tool["id"], dxf_tool["kind"], dxf_tool["name"]) == ("dxf", "CompareDxf", "Confronto DXF")
assert dxf_tool["links"] == {"align": {"tool": "pezzo", "property": "poses"}}
# La cartella ricetta come la scriverebbe il backend, poi la scena ruotata di 5 gradi
for nome, b64 in risultato["files"].items():
(tmp_path / nome).write_bytes(base64.b64decode(b64))
ruotata = a_scene(5.0, shift_px=(30.0, 20.0))
esito = run_graph(ruotata, graph, calibration={"px_per_mm": PX_PER_MM}, recipe_dir=tmp_path)
assert not esito.failures, esito.failures
assert esito.outputs["dxf.points_in_pct"] > 95.0
def test_ricetta_dxf_con_riferimento_gia_ruotato(tmp_path):
# il riferimento non e' a 0 gradi: la ricetta si costruisce lo stesso
risultato = build_dxf_compare(a_scene(20.0, shift_px=(-15.0, 10.0)),
SAMPLE_DXF.read_bytes(), PX_PER_MM, band_mm=2.0)
assert risultato["outputs"]["dxf.points_in_pct"] > 95.0
def test_immagine_senza_pezzo_solleva():
bianca = np.full((600, 800), 255, np.uint8)
with pytest.raises(CostruttoreError, match="pezzo"):
build_dxf_compare(bianca, SAMPLE_DXF.read_bytes(), PX_PER_MM)
def test_dxf_illeggibile_solleva():
with pytest.raises(CostruttoreError, match="DXF"):
build_dxf_compare(a_scene(), b"questo non e' un dxf", PX_PER_MM)
@pytest.mark.parametrize("kwargs", [
{"px_per_mm": 0.0}, {"px_per_mm": PX_PER_MM, "band_mm": 0.0},
{"px_per_mm": PX_PER_MM, "min_points_pct": 0.0},
{"px_per_mm": PX_PER_MM, "min_points_pct": 101.0},
{"px_per_mm": PX_PER_MM, "polarity": "grigio"},
])
def test_parametri_ricetta_invalidi(kwargs):
with pytest.raises(CostruttoreError):
build_dxf_compare(a_scene(), SAMPLE_DXF.read_bytes(), **kwargs)
+65
View File
@@ -17,6 +17,7 @@ import numpy as np
from fastapi import FastAPI, File, Form, HTTPException, UploadFile, status
from PIL import Image, UnidentifiedImageError
from src.vision.costruttori import CostruttoreError, build_dxf_compare # #83
from src.vision.runner import (
GraphBuildError,
RunOutcome,
@@ -223,3 +224,67 @@ async def validate(
validate_graph, parsed_graph, resolved_dir
)
return {"ok": ok, "errors": errors, "outputs": outputs}
def _decode_and_build_dxf(content: bytes, dxf: bytes, px_per_mm: float,
band_mm: float, min_points_pct: float,
polarity: str) -> dict:
"""#83: meta' sincrona di /recipes/dxf-compare (decodifica + costruzione),
in un thread come `_decode_and_run`."""
try:
frame = np.array(Image.open(io.BytesIO(content)).convert("L"))
except (UnidentifiedImageError, OSError) as exc:
raise _ImageDecodeError(str(exc)) from exc
return build_dxf_compare(frame, dxf, px_per_mm, band_mm, min_points_pct, polarity)
@app.post("/recipes/dxf-compare")
async def recipes_dxf_compare(
image: UploadFile = File(...),
dxf: UploadFile = File(...),
px_per_mm: float = Form(...),
band_mm: float = Form(0.1),
min_points_pct: float = Form(95.0),
polarity: str = Form("dark"),
) -> dict:
"""#83: costruisce una ricetta DXF compare dall'immagine di riferimento, il
disegno e la scala. Stessi semaforo, timeout e mappa errori di /run."""
content = await image.read()
dxf_bytes = await dxf.read()
if _run_slots.locked():
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail=f"worker busy: already running {_MAX_CONCURRENCY} job(s)",
)
async with _run_slots:
try:
return await asyncio.wait_for(
asyncio.to_thread(
_decode_and_build_dxf, content, dxf_bytes, px_per_mm,
band_mm, min_points_pct, polarity,
),
timeout=_RUN_TIMEOUT_S,
)
except asyncio.TimeoutError as exc:
raise HTTPException(
status_code=status.HTTP_504_GATEWAY_TIMEOUT,
detail=f"vision run exceeded {_RUN_TIMEOUT_S}s",
) from exc
except _ImageDecodeError as exc:
raise HTTPException(
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
detail=f"image is not decodable: {exc}",
) from exc
except (CostruttoreError, GraphBuildError) as exc:
# pezzo non trovato, DXF illeggibile, parametri invalidi: input, non guasto
raise HTTPException(
status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
detail=str(exc),
) from exc
except Exception as exc:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"recipe build failed: {type(exc).__name__}: {exc}",
) from exc
@@ -0,0 +1,82 @@
"""POST /recipes/dxf-compare del worker (#83): forma della risposta ed errori."""
import pytest
# Come test_worker.py: serve l'albero vision (Python >=3.13), altrimenti skipped.
pytest.importorskip(
"visionsuite.task",
reason="the vision tree requires Python >=3.13; see test_worker.py",
)
import base64
import io
import time
import numpy as np
from httpx import ASGITransport, AsyncClient
from PIL import Image
from src.vision.tests.test_costruttori import PX_PER_MM, SAMPLE_DXF, a_scene
from src.vision_worker.main import app
def _png(array: np.ndarray) -> bytes:
buffer = io.BytesIO()
Image.fromarray(array).save(buffer, format="PNG")
return buffer.getvalue()
async def _post(image: bytes, dxf: bytes, **data):
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://worker") as client:
return await client.post(
"/recipes/dxf-compare",
files={"image": ("riferimento.png", image, "image/png"),
"dxf": ("disegno.dxf", dxf, "application/octet-stream")},
data={"px_per_mm": str(PX_PER_MM), "band_mm": "2.0", **data},
)
@pytest.mark.asyncio
async def test_dxf_compare_200_con_le_chiavi_del_contratto():
inizio = time.monotonic()
response = await _post(_png(a_scene(0.0)), SAMPLE_DXF.read_bytes())
durata = time.monotonic() - inizio
assert response.status_code == 200, response.text
body = response.json()
assert {"graph", "files", "outputs", "overlay", "outcome"} <= set(body)
assert set(body["files"]) == {"disegno.dxf", "calibrazione.json"}
assert base64.b64decode(body["files"]["disegno.dxf"]) == SAMPLE_DXF.read_bytes()
assert set(body["outputs"]) == {
"dxf.points_in_pct", "dxf.distance_avg", "dxf.distance_min", "dxf.distance_max"}
assert body["outputs"]["dxf.points_in_pct"] > 95.0
assert body["graph"]["schema_version"] == 2
print(f"\nW2 sulla scena di prova: {durata:.2f}s") # riportato nel rapporto
@pytest.mark.asyncio
async def test_dxf_compare_immagine_senza_pezzo_e_422():
bianca = np.full((600, 800), 255, np.uint8)
response = await _post(_png(bianca), SAMPLE_DXF.read_bytes())
assert response.status_code == 422
assert "pezzo" in response.json()["detail"]
@pytest.mark.asyncio
async def test_dxf_compare_dxf_illeggibile_e_422():
response = await _post(_png(a_scene(0.0)), b"non e' un dxf")
assert response.status_code == 422
assert "DXF" in response.json()["detail"]
@pytest.mark.asyncio
async def test_dxf_compare_immagine_non_decodificabile_e_422():
response = await _post(b"non e' un'immagine", SAMPLE_DXF.read_bytes())
assert response.status_code == 422
assert "not decodable" in response.json()["detail"].lower()
@pytest.mark.asyncio
async def test_dxf_compare_parametro_fuori_range_e_422():
response = await _post(_png(a_scene(0.0)), SAMPLE_DXF.read_bytes(), polarity="grigio")
assert response.status_code == 422