backend: immagini BMP ammesse nelle rotte visione (Refs #99)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

src/backend/api/routers/tasks.py

@@ -250,6 +250,8 @@ async def create_task(
         file_type=data.file_type,
         annotations_json=data.annotations_json,
         vision_json=data.vision_json,
+        # #97: camera e modo di analisi (dict gia' validato dal modello)
+        acquisition_json=data.acquisition_json.model_dump() if data.acquisition_json else None,
         # #53 #55: ciclo (default dal tipo), chiusura, campi extra
         in_loop=data.in_loop if data.in_loop is not None else default_in_loop(data.task_type),
         at_close=data.at_close,

src/backend/api/routers/vision.py

@@ -23,7 +23,7 @@ from src.backend.api.routers.files import (
 from src.backend.config import settings
 from src.backend.database import get_db
 from src.backend.models.api.vision import (
-    VisionExecuteResponse, VisionMeasurementResult, VisionRecipeResponse,
+    VisionCheckResponse, VisionExecuteResponse, VisionMeasurementResult, VisionRecipeResponse,
     VisionRecipeUploadResponse, VisionReferenceImageResponse,
 )
 from src.backend.models.orm.vision import VisionResult
@@ -40,14 +40,22 @@ _IMAGE_EXTENSIONS = {
     "image/png": "png",
     "image/gif": "gif",
     "image/webp": "webp",
+    "image/bmp": "bmp",          # #99
+    "image/x-ms-bmp": "bmp",     # #99
 }
 
+# #99: the Opto bench cameras save BMP and the worker decodes it (PIL), so the
+# vision routes accept it on top of files.py's list. files.py is untouched: its
+# attachments are served by extension and BMP is not meant to be shown there.
+_VISION_IMAGE_TYPES = ALLOWED_IMAGE_TYPES | {"image/bmp", "image/x-ms-bmp"}
+
 # Sniffed from the first bytes, independent of the declared Content-Type: a
 # text file uploaded as "image/png" passes the header check above and must
-# still be caught before it reaches the worker as a bare 500 (#15). BMP and
-# TIFF are included even though `_IMAGE_EXTENSIONS` does not accept them,
-# because PIL - and so the worker - can decode both; this check only refuses
-# what is not a real image at all, it does not narrow the allow-list above.
+# still be caught before it reaches the worker as a bare 500 (#15). TIFF is
+# included even though the allow-list does not accept it (PIL, and so the
+# worker, can decode it; browsers do not show it in the result); BMP is now
+# also allowed (#99). This check only refuses what is not a real image at all,
+# it does not narrow the allow-list above.
 _IMAGE_SIGNATURES: tuple[tuple[bytes, ...], ...] = (
     (b"\x89PNG\r\n\x1a\n",),         # PNG
     (b"\xff\xd8\xff",),              # JPEG
@@ -83,7 +91,7 @@ async def _read_image(image: UploadFile) -> bytes:
     is in hand - the same two-step convention `files.py::upload_file` already
     uses, reused rather than reinvented here.
     """
-    if image.content_type not in ALLOWED_IMAGE_TYPES:
+    if image.content_type not in _VISION_IMAGE_TYPES:  # #99
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail=f"File type {image.content_type} not allowed. Must be an image.",
@@ -164,6 +172,22 @@ async def execute(
     )
 
 
+@router.post("/check", response_model=VisionCheckResponse)
+async def check(
+    task_id: int = Form(...),
+    image: UploadFile = File(...),
+    production_run_id: int | None = Form(None, gt=0),
+    db: AsyncSession = Depends(get_db),
+    current_user: User = Depends(require_measurement_tec),
+) -> VisionCheckResponse:
+    """#97: analisi di un frame senza salvare nulla (ne' risultato ne' misure)."""
+    task = await _task_or_404(db, task_id)
+    report = await vision_service.check_task(
+        db, task, await _read_image(image), production_run_id=production_run_id,
+    )
+    return VisionCheckResponse(**report)
+
+
 @router.get("/results/{result_id}/image")
 async def get_result_image(
     result_id: int,

src/backend/migrations/versions/021_task_acquisition.py

@@ -0,0 +1,31 @@
+"""recipe_tasks.acquisition_json (#97)
+
+recipe_tasks.acquisition_json: camera e modo di analisi scelti nel task,
+{"camera_url", "camera_source", "modo": "impulsiva" | "in_linea"}; NULL = la
+camera della stazione dell'operatore, analisi impulsiva (come prima).
+
+Revision ID: 021_task_acquisition
+Revises: 020_station_camera
+Create Date: 2026-10-24
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+revision: str = '021_task_acquisition'
+down_revision: Union[str, None] = '020_station_camera'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # batch_alter_table come nelle migrazioni vicine: serve a SQLite
+    with op.batch_alter_table('recipe_tasks') as batch:
+        batch.add_column(sa.Column('acquisition_json', sa.JSON(), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table('recipe_tasks') as batch:
+        batch.drop_column('acquisition_json')

src/backend/models/api/task.py

@@ -2,8 +2,9 @@
 import re
 from typing import Any, Literal, Optional
 
-from pydantic import BaseModel, ConfigDict, Field, model_validator
+from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
 
+from src.backend.models.api.station import _normalize_http_url
 from src.backend.models.orm.task import DEFAULT_LOOP_TASK_TYPES, TASK_TYPES
 
 # Kept in step with the ORM enum so the two cannot drift apart.
@@ -159,6 +160,30 @@ class SubtaskResponse(BaseModel):
     vision_output: Optional[str] = None
 
 
+class AcquisitionConfig(BaseModel):
+    """#97: camera (servizio + sorgente) e modo di analisi scelti nel task."""
+    camera_url: str = Field(..., max_length=500)
+    camera_source: str = Field(..., min_length=1, max_length=200)
+    modo: Literal["impulsiva", "in_linea"] = "impulsiva"
+
+    @field_validator("camera_url")
+    @classmethod
+    def _check_camera_url(cls, value: str) -> str:
+        # stessa normalizzazione delle stazioni; qui il vuoto non e' ammesso
+        normalized = _normalize_http_url(value, "camera_url")
+        if normalized is None:
+            raise ValueError("camera_url must not be empty")
+        return normalized
+
+    @field_validator("camera_source")
+    @classmethod
+    def _check_camera_source(cls, value: str) -> str:
+        value = value.strip()
+        if not value:
+            raise ValueError("camera_source must not be empty")
+        return value
+
+
 class TaskCreate(BaseModel):
     """Schema for creating a task."""
     title: str = Field(..., min_length=1, max_length=255)
@@ -169,6 +194,7 @@ class TaskCreate(BaseModel):
     file_type: Optional[str] = Field(None, pattern="^(image|pdf)$")
     annotations_json: Optional[dict[str, Any]] = None
     vision_json: Optional[dict] = None
+    acquisition_json: Optional[AcquisitionConfig] = None  # #97
     # #53: assente = default dal tipo (misure e check nel ciclo)
     in_loop: Optional[bool] = None
     at_close: bool = False
@@ -186,6 +212,7 @@ class TaskUpdate(BaseModel):
     file_type: Optional[str] = Field(None, pattern="^(image|pdf)$")
     annotations_json: Optional[dict[str, Any]] = None
     vision_json: Optional[dict] = None
+    acquisition_json: Optional[AcquisitionConfig] = None  # #97
     in_loop: Optional[bool] = None
     at_close: Optional[bool] = None
     fields: Optional[list[dict[str, Any]]] = None
@@ -207,6 +234,7 @@ class TaskResponse(BaseModel):
     file_type: Optional[str] = None
     annotations_json: Optional[dict[str, Any]] = None
     vision_json: Optional[dict] = None
+    acquisition_json: Optional[AcquisitionConfig] = None  # #97
     in_loop: bool = False
     at_close: bool = False
     fields: Optional[list[dict[str, Any]]] = None

src/backend/models/api/vision.py

@@ -24,6 +24,16 @@ class VisionExecuteResponse(BaseModel):
     failures: list[dict] = []
 
 
+class VisionCheckResponse(BaseModel):
+    """What `POST /api/vision/check` returns (#97): the analysis, nothing saved."""
+    outcome: str | None = None
+    overlay: list[dict] = []
+    failures: list[dict] = []
+    measurements: list[VisionMeasurementResult] = []
+    # esito della lettura della calibrazione: ok | no_camera | not_calibrated | unreachable
+    calibration: str
+
+
 class VisionRecipeOutput(BaseModel):
     """One numeric output a recipe offers to the quotes."""
     key: str

src/backend/models/orm/task.py

@@ -65,6 +65,9 @@ class RecipeTask(Base):
     # Cartella immutabile (relativa a upload_path) con recipe.json e i file di
     # meta della ricetta VisionSuite v2 (#46).
     vision_recipe_dir: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
+    # #97: camera e modo di analisi del task, {camera_url, camera_source, modo};
+    # NULL = camera della stazione corrente, analisi impulsiva.
+    acquisition_json: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
     # #53: il task fa parte del ciclo di produzione (default dal tipo: misure e
     # check si', gli altri no; un task 'note' si puo' mettere nel ciclo a mano).
     in_loop: Mapped[bool] = mapped_column(

src/backend/services/recipe_service.py

@@ -117,6 +117,8 @@ async def _copy_tasks_to_version(
             vision_json=task.vision_json,
             # Cartella immutabile: basta il riferimento (#46).
             vision_recipe_dir=task.vision_recipe_dir,
+            # #97: camera e modo di analisi seguono il task nella nuova versione.
+            acquisition_json=task.acquisition_json,
             # #53 #55: ciclo, chiusura e campi extra seguono il task nella nuova versione.
             in_loop=task.in_loop,
             at_close=task.at_close,

src/backend/services/vision_service.py

@@ -231,35 +231,36 @@ CAL_NOT_CALIBRATED = "not_calibrated"  # l'acquisitore risponde 404 (o un valore
 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).
+async def fetch_calibration(
+    camera_url: str | None, camera_source: str | None, label: str = "",
+) -> tuple[dict | None, str]:
+    """Legge la calibrazione da un acquisitore (C1, #83; generalizzata in #97).
 
     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.
+    Un px_per_mm non finito o <= 0 conta come non calibrata. `label` serve
+    solo ai log (stazione o task).
     """
-    if station is None or not station.camera_url or not station.camera_source:
+    if not camera_url or not camera_source:
         return None, CAL_NO_CAMERA
-    url = f"{station.camera_url.rstrip('/')}/camera/calibration"
+    url = f"{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})
+            response = await client.get(url, params={"source": camera_source})
     except httpx.HTTPError as exc:
-        logger.warning("acquisitore della stazione %s non raggiungibile: %s", station.code, exc)
+        logger.warning("acquisitore %s non raggiungibile: %s", label, 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,
-        )
+        logger.warning("acquisitore %s: HTTP %s", label, response.status_code)
         return None, CAL_UNREACHABLE
     try:
         body = response.json()
     except ValueError:
-        logger.warning("acquisitore della stazione %s: risposta non JSON", station.code)
+        logger.warning("acquisitore %s: risposta non JSON", label)
         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):
@@ -267,6 +268,33 @@ async def fetch_station_calibration(station: Station | None) -> tuple[dict | Non
     return body, CAL_OK
 
 
+async def fetch_station_calibration(station: Station | None) -> tuple[dict | None, str]:
+    """Calibrazione dall'acquisitore della stazione (C1, #83): vedi fetch_calibration."""
+    if station is None:
+        return None, CAL_NO_CAMERA
+    return await fetch_calibration(
+        station.camera_url, station.camera_source, f"della stazione {station.code}",
+    )
+
+
+def task_camera(task: RecipeTask, station: Station | None) -> tuple[str | None, str | None]:
+    """Camera di un task (#97): acquisition_json, altrimenti quella della stazione."""
+    acquisition = task.acquisition_json
+    if isinstance(acquisition, dict) and acquisition.get("camera_url") and acquisition.get("camera_source"):
+        return acquisition["camera_url"], acquisition["camera_source"]
+    if station is not None:
+        return station.camera_url, station.camera_source
+    return None, None
+
+
+async def fetch_task_calibration(
+    task: RecipeTask, station: Station | None,
+) -> tuple[dict | None, str]:
+    """Calibrazione della camera del task (#97), stessi esiti CAL_* di fetch_calibration."""
+    camera_url, camera_source = task_camera(task, station)
+    return await fetch_calibration(camera_url, camera_source, f"del task {task.id}")
+
+
 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)
@@ -498,14 +526,15 @@ 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
+    # Calibrazione letta dall'acquisitore (#83); None = non c'e'. #97: la camera e'
+    # quella del task se la ricetta ne sceglie una, altrimenti quella della stazione.
+    station = 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)
+    calibration, _ = await fetch_task_calibration(task, station)
 
     if not task.vision_json:
         raise HTTPException(
@@ -623,6 +652,85 @@ async def execute_task(
     return result, saved, report
 
 
+async def check_task(
+    db: AsyncSession,
+    task: RecipeTask,
+    image_bytes: bytes,
+    *,
+    production_run_id: int | None = None,
+) -> dict:
+    """Esegue il grafo come execute_task ma NON salva nulla (#97).
+
+    Anteprima per l'operatore (ingresso nel task, ciclo «in linea»): niente
+    VisionResult, niente file, niente misure. L'esito per quota usa
+    calculate_pass_fail sulle quote con vision_output, nell'ordine di
+    marker_number come execute. Le quote che il grafo non produce (pezzo non
+    ancora in posizione) restano fuori da `measurements` e il perche' sta in
+    `failures`: un'anteprima non deve dare 422 a ogni frame.
+    """
+    if task.task_type not in VISION_TASK_TYPES:
+        raise HTTPException(
+            status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
+            detail=f"task type {task.task_type!r} is not a camera measurement",
+        )
+    station = None
+    station_url = None
+    if production_run_id is not None:
+        # stesse regole di execute: 404 / 422 / 409 sulla sessione di produzione
+        run = await measurement_service.validate_run_for_version(
+            db, production_run_id, task.version_id,
+        )
+        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
+    if not task.vision_json:
+        raise HTTPException(
+            status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
+            detail="this task carries no vision graph",
+        )
+    quotes = (await db.execute(
+        select(RecipeSubtask)
+        .where(RecipeSubtask.task_id == task.id)
+        .where(RecipeSubtask.vision_output.is_not(None))
+        .order_by(RecipeSubtask.marker_number)
+    )).scalars().all()
+    if not quotes:
+        raise HTTPException(
+            status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
+            detail="no quote on this task names a vision output",
+        )
+
+    # stessa calibrazione di execute: camera del task, altrimenti della stazione
+    calibration, cal_reason = await fetch_task_calibration(task, station)
+    worker_kwargs: dict = {}
+    if calibration is not None:
+        worker_kwargs["calibration"] = {"px_per_mm": float(calibration["px_per_mm"])}
+    report = await _call_worker(
+        image_bytes, task.vision_json, recipe_dir=task.vision_recipe_dir,
+        worker_url=station_url,
+        **worker_kwargs,
+    )
+    outputs = report["outputs"]
+    measurements = [
+        {
+            "subtask_id": q.id,
+            "value": float(outputs[q.vision_output]),
+            "pass_fail": measurement_service.calculate_pass_fail(
+                float(outputs[q.vision_output]), q,
+            )[0],
+        }
+        for q in quotes if _is_measurable(outputs.get(q.vision_output))
+    ]
+    return {
+        "outcome": report.get("outcome"),
+        "overlay": report.get("overlay") or [],
+        "failures": report.get("failures") or [],
+        "measurements": measurements,
+        "calibration": cal_reason,
+    }
+
+
 def _reference_file_path(reference: VisionReferenceImage) -> Path:
     return settings.upload_path / reference.path
 

src/backend/tests/test_migrations.py

@@ -341,3 +341,22 @@ class TestStationCameraMigration:
         assert "vision_worker_url" in cols("stations")  # la 019 resta
         command.upgrade(cfg, "head")  # e di nuovo su
         assert {"camera_url", "camera_source"} <= cols("stations")
+
+
+class TestTaskAcquisitionMigration:
+    """021_task_acquisition: recipe_tasks.acquisition_json, su e giu (#97)."""
+
+    def test_021_upgrade_and_downgrade(self, sqlite_database_url):
+        db_path, _ = sqlite_database_url
+        cfg = _alembic_config()
+
+        def cols(table):
+            return {c["name"] for c in _inspect(db_path).get_columns(table)}
+
+        command.upgrade(cfg, "head")
+        assert "acquisition_json" in cols("recipe_tasks")
+        command.downgrade(cfg, "020_station_camera")
+        assert "acquisition_json" not in cols("recipe_tasks")
+        assert "camera_url" in cols("stations")  # la 020 resta
+        command.upgrade(cfg, "head")  # e di nuovo su
+        assert "acquisition_json" in cols("recipe_tasks")

src/backend/tests/test_task_acquisition.py

@@ -0,0 +1,308 @@
+"""#97: camera e modo di analisi nel task, POST /api/vision/check senza salvataggio.
+
+Il worker e l'acquisitore non girano nei test: si fingono (fixture di
+test_vision_dxf_compare e test_vision_station_worker).
+"""
+import pytest
+from sqlalchemy import func, select
+
+from src.backend.config import settings
+from src.backend.models.orm.measurement import Measurement
+from src.backend.models.orm.task import RecipeSubtask, RecipeTask
+from src.backend.models.orm.vision import VisionResult
+from src.backend.tests.conftest import auth_headers, create_test_recipe
+from src.backend.tests.test_vision_copy_on_write import (
+    _current_task_and_subtask, _seed_measurement,
+)
+from src.backend.tests.test_vision_dxf_compare import (  # noqa: F401 (fixture acquisitore)
+    CAL, CAMERA_URL, acquisitore, redirect_uploads,
+)
+from src.backend.tests.test_vision_execute import an_image
+from src.backend.tests.test_vision_station_worker import (  # noqa: F401 (fixture worker_calls)
+    _camera_task, _execute, _station_with_run, worker_calls,
+)
+
+TASK_CAMERA = "http://10.0.0.50:8300"
+ACQ = {"camera_url": TASK_CAMERA, "camera_source": "camera:601020", "modo": "in_linea"}
+
+
+async def _task_with_acquisition(db_session, user_id, acquisition=ACQ):
+    recipe, task = await _camera_task(db_session, user_id)
+    task.acquisition_json = acquisition
+    await db_session.commit()
+    return recipe, task
+
+
+# --- modello e API del task ---------------------------------------------------
+
+@pytest.mark.asyncio
+async def test_create_task_stores_and_normalizes_acquisition(client, db_session, maker_user):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    resp = await client.post(
+        f"/api/recipes/{recipe.id}/tasks",
+        headers=auth_headers(maker_user),
+        json={
+            "title": "Camera", "task_type": "camera_measure",
+            "acquisition_json": {"camera_url": " http://h:1/ ", "camera_source": " camera:1 "},
+        },
+    )
+    assert resp.status_code == 201, resp.text
+    body = resp.json()
+    # url normalizzato come nelle stazioni, sorgente senza spazi, modo di default
+    expected = {"camera_url": "http://h:1", "camera_source": "camera:1", "modo": "impulsiva"}
+    assert body["acquisition_json"] == expected
+    db_session.expunge_all()
+    task = (await db_session.execute(
+        select(RecipeTask).where(RecipeTask.id == body["id"])
+    )).scalar_one()
+    assert task.acquisition_json == expected  # sul DB, non solo nella risposta
+    got = await client.get(f"/api/tasks/{body['id']}", headers=auth_headers(maker_user))
+    assert got.json()["acquisition_json"] == expected
+
+
+@pytest.mark.asyncio
+async def test_task_without_acquisition_is_null(client, db_session, maker_user):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    resp = await client.get(f"/api/recipes/{recipe.id}/tasks", headers=auth_headers(maker_user))
+    assert resp.json()[0]["acquisition_json"] is None
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("bad", [
+    {"camera_url": "ftp://h", "camera_source": "camera:1"},
+    {"camera_url": "  ", "camera_source": "camera:1"},
+    {"camera_url": "http://h", "camera_source": "   "},
+    {"camera_url": "http://h", "camera_source": "x" * 201},
+    {"camera_url": "http://h", "camera_source": "camera:1", "modo": "continua"},
+    {"camera_source": "camera:1"},
+])
+async def test_invalid_acquisition_is_422(client, db_session, maker_user, bad):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    resp = await client.post(
+        f"/api/recipes/{recipe.id}/tasks",
+        headers=auth_headers(maker_user),
+        json={"title": "Camera", "task_type": "camera_measure", "acquisition_json": bad},
+    )
+    assert resp.status_code == 422, resp.text
+
+
+@pytest.mark.asyncio
+async def test_update_sets_and_clears_acquisition(client, db_session, maker_user):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    _, task, _ = await _current_task_and_subtask(db_session, recipe.id)
+    resp = await client.put(
+        f"/api/tasks/{task.id}", headers=auth_headers(maker_user), json={"acquisition_json": ACQ},
+    )
+    assert resp.status_code == 200, resp.text
+    assert resp.json()["acquisition_json"] == ACQ
+    resp = await client.put(
+        f"/api/tasks/{task.id}", headers=auth_headers(maker_user), json={"acquisition_json": None},
+    )
+    assert resp.status_code == 200
+    assert resp.json()["acquisition_json"] is None  # null = camera della stazione
+
+
+@pytest.mark.asyncio
+async def test_copy_on_write_preserves_acquisition(client, db_session, maker_user):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    _, task, _ = await _current_task_and_subtask(db_session, recipe.id)
+    task.acquisition_json = ACQ
+    await db_session.flush()
+    await _seed_measurement(db_session, recipe.id, maker_user.id)
+    db_session.expunge_all()
+
+    resp = await client.put(
+        f"/api/recipes/{recipe.id}", headers=auth_headers(maker_user),
+        json={"change_notes": "forza il copy-on-write"},
+    )
+    assert resp.status_code == 200
+    db_session.expunge_all()
+    version, new_task, _ = await _current_task_and_subtask(db_session, recipe.id)
+    assert version.version_number == 2
+    assert new_task.acquisition_json == ACQ
+
+
+# --- calibrazione dalla camera del task ----------------------------------------
+
+@pytest.mark.asyncio
+async def test_execute_reads_calibration_from_the_task_camera(
+    client, db_session, measurement_tec_user, worker_calls, acquisitore,
+):
+    recipe, task = await _task_with_acquisition(db_session, measurement_tec_user.id)
+    # stazione con camera propria: la camera del task prevale
+    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 acquisitore["urls"] == [(f"{TASK_CAMERA}/camera/calibration", {"source": "camera:601020"})]
+    assert worker_calls[0]["calibration"] == {"px_per_mm": CAL["px_per_mm"]}
+    result = (await db_session.execute(select(VisionResult))).scalars().one()
+    assert result.calibration_snapshot["px_per_mm"] == CAL["px_per_mm"]
+
+
+@pytest.mark.asyncio
+async def test_execute_task_camera_works_without_a_run(
+    client, db_session, measurement_tec_user, worker_calls, acquisitore,
+):
+    _, task = await _task_with_acquisition(db_session, measurement_tec_user.id)
+    await _execute(client, measurement_tec_user, task)  # niente sessione di produzione
+    assert acquisitore["urls"][0][0] == f"{TASK_CAMERA}/camera/calibration"
+    assert "calibration" in worker_calls[0]
+
+
+@pytest.mark.asyncio
+async def test_execute_falls_back_to_the_station_camera(
+    client, db_session, measurement_tec_user, worker_calls, acquisitore,
+):
+    recipe, task = await _camera_task(db_session, measurement_tec_user.id)  # acquisition_json null
+    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 acquisitore["urls"] == [(f"{CAMERA_URL}/camera/calibration", {"source": "camera:A1"})]
+    assert worker_calls[0]["calibration"] == {"px_per_mm": CAL["px_per_mm"]}
+
+
+# --- POST /api/vision/check ----------------------------------------------------
+
+async def _check(client, user, task, run=None):
+    data = {"task_id": str(task.id)}
+    if run is not None:
+        data["production_run_id"] = str(run.id)
+    return await client.post(
+        "/api/vision/check", headers=auth_headers(user),
+        files={"image": ("p.png", an_image(), "image/png")}, data=data,
+    )
+
+
+async def _counts(db_session):
+    return tuple([
+        (await db_session.execute(select(func.count()).select_from(model))).scalar_one()
+        for model in (Measurement, VisionResult)
+    ])
+
+
+@pytest.mark.asyncio
+async def test_check_saves_nothing_and_reports_pass_fail(
+    client, db_session, measurement_tec_user, monkeypatch, acquisitore,
+):
+    _, task = await _task_with_acquisition(db_session, measurement_tec_user.id)
+    seen = {}
+
+    async def fake_call(image_bytes, graph, **kwargs):
+        seen.update(kwargs)
+        return {"outputs": {"t1.diameter": 11.0}, "failures": [{"tool_name": "t"}],
+                "overlay": [{"kind": "line"}], "outcome": "fail",
+                "engine_version": "e" * 40, "duration_ms": 3}
+
+    monkeypatch.setattr("src.backend.services.vision_service._call_worker", fake_call)
+    before = await _counts(db_session)
+
+    resp = await _check(client, measurement_tec_user, task)
+
+    assert resp.status_code == 200, resp.text
+    body = resp.json()
+    quote = (await db_session.execute(
+        select(RecipeSubtask).where(RecipeSubtask.task_id == task.id)
+    )).scalars().one()
+    assert body == {
+        "outcome": "fail", "overlay": [{"kind": "line"}], "failures": [{"tool_name": "t"}],
+        "measurements": [{"subtask_id": quote.id, "value": 11.0, "pass_fail": "fail"}],
+        "calibration": "ok",
+    }
+    assert seen["calibration"] == {"px_per_mm": CAL["px_per_mm"]}  # stessa calibrazione di execute
+    assert await _counts(db_session) == before  # niente misure ne' VisionResult
+    assert not list(settings.upload_path.rglob("*.overlay.json"))  # ne' file
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("value,expected", [(10.0, "pass"), (10.4, "warning"), (9.0, "fail")])
+async def test_check_pass_fail_levels(
+    client, db_session, measurement_tec_user, monkeypatch, value, expected,
+):
+    _, task = await _camera_task(db_session, measurement_tec_user.id)
+
+    async def fake_call(image_bytes, graph, **kwargs):
+        return {"outputs": {"t1.diameter": value}, "failures": [], "engine_version": "e" * 40}
+
+    monkeypatch.setattr("src.backend.services.vision_service._call_worker", fake_call)
+    resp = await _check(client, measurement_tec_user, task)
+    assert resp.json()["measurements"][0]["pass_fail"] == expected
+    assert resp.json()["calibration"] == "no_camera"  # senza camera ne' stazione
+
+
+@pytest.mark.asyncio
+async def test_check_calibration_reasons(
+    client, db_session, measurement_tec_user, worker_calls, acquisitore,
+):
+    _, task = await _task_with_acquisition(db_session, measurement_tec_user.id)
+    acquisitore["cal"] = None
+    assert (await _check(client, measurement_tec_user, task)).json()["calibration"] == "not_calibrated"
+    acquisitore["cal"] = "down"
+    assert (await _check(client, measurement_tec_user, task)).json()["calibration"] == "unreachable"
+    assert "calibration" not in worker_calls[-1]  # senza calibrazione la ricetta usa la sua
+
+
+@pytest.mark.asyncio
+async def test_check_omits_quotes_the_graph_did_not_produce(
+    client, db_session, measurement_tec_user, monkeypatch,
+):
+    _, task = await _camera_task(db_session, measurement_tec_user.id)
+
+    async def fake_call(image_bytes, graph, **kwargs):
+        return {"outputs": {}, "failures": [{"tool_name": "blob"}], "engine_version": "e" * 40}
+
+    monkeypatch.setattr("src.backend.services.vision_service._call_worker", fake_call)
+    resp = await _check(client, measurement_tec_user, task)
+    assert resp.status_code == 200  # un'anteprima non da' 422 a ogni frame
+    assert resp.json()["measurements"] == []
+    assert resp.json()["failures"] == [{"tool_name": "blob"}]
+
+
+@pytest.mark.asyncio
+async def test_check_422_without_graph_or_quotes_or_vision_type(
+    client, db_session, measurement_tec_user, worker_calls,
+):
+    _, task = await _camera_task(db_session, measurement_tec_user.id)
+    task.vision_json = None
+    await db_session.commit()
+    assert (await _check(client, measurement_tec_user, task)).status_code == 422
+
+    task.vision_json = {"schema_version": 1, "name": "p", "tools": []}
+    quote = (await db_session.execute(
+        select(RecipeSubtask).where(RecipeSubtask.task_id == task.id)
+    )).scalars().one()
+    quote.vision_output = None
+    await db_session.commit()
+    assert (await _check(client, measurement_tec_user, task)).status_code == 422
+
+    task.task_type = "measure"
+    await db_session.commit()
+    assert (await _check(client, measurement_tec_user, task)).status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_check_with_run_uses_station_worker_and_station_camera(
+    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, "http://10.0.0.7:8100")
+    station.camera_url, station.camera_source = CAMERA_URL, "camera:A1"
+    await db_session.commit()
+    before = await _counts(db_session)
+    resp = await _check(client, measurement_tec_user, task, run)
+    assert resp.status_code == 200, resp.text
+    assert worker_calls[0]["worker_url"] == "http://10.0.0.7:8100"
+    assert acquisitore["urls"][0][0] == f"{CAMERA_URL}/camera/calibration"
+    assert await _counts(db_session) == before
+
+
+@pytest.mark.asyncio
+async def test_check_requires_login(client, db_session, measurement_tec_user, worker_calls):
+    _, task = await _camera_task(db_session, measurement_tec_user.id)
+    resp = await client.post(
+        "/api/vision/check", files={"image": ("p.png", an_image(), "image/png")},
+        data={"task_id": str(task.id)},
+    )
+    assert resp.status_code in (401, 403)

src/backend/tests/test_vision_bmp.py

@@ -0,0 +1,109 @@
+"""#99: the vision routes accept BMP (the Opto bench cameras save it); TIFF and
+non-images stay refused. files.py (attachments) is not touched by this."""
+import io
+
+import pytest
+from PIL import Image
+from sqlalchemy import select
+
+from src.backend.config import settings
+from src.backend.models.orm.vision import VisionReferenceImage
+from src.backend.tests.conftest import auth_headers, create_test_recipe
+from src.backend.tests.test_vision_upload_limits import (  # noqa: F401 - fixtures
+    recipe_parts, redirect_uploads, worker_says,
+)
+
+
+def a_bmp() -> bytes:
+    buffer = io.BytesIO()
+    Image.new("L", (64, 64), color=0).save(buffer, format="BMP")
+    return buffer.getvalue()
+
+
+def a_tiff() -> bytes:
+    buffer = io.BytesIO()
+    Image.new("L", (64, 64), color=0).save(buffer, format="TIFF")
+    return buffer.getvalue()
+
+
+async def a_camera_task(db_session, user):
+    recipe = await create_test_recipe(db_session, user.id)
+    _, task, _ = await recipe_parts(db_session, recipe.id)
+    task.task_type = "camera_measure"
+    task.vision_json = {"schema_version": 1, "name": "p", "tools": []}
+    await db_session.commit()
+    return task
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("content_type", ["image/bmp", "image/x-ms-bmp"])
+async def test_preview_accepts_a_bmp(
+    client, db_session, maker_user, worker_says, content_type,
+):
+    task = await a_camera_task(db_session, maker_user)
+    worker_says({"t1.diameter": 10.0})
+
+    response = await client.post(
+        "/api/vision/preview",
+        headers=auth_headers(maker_user),
+        files={"image": ("p.bmp", a_bmp(), content_type)},
+        data={"task_id": str(task.id)},
+    )
+
+    assert response.status_code != 400, response.text
+    assert response.status_code != 422, response.text
+
+
+@pytest.mark.asyncio
+async def test_preview_still_rejects_a_tiff(
+    client, db_session, maker_user, worker_says,
+):
+    task = await a_camera_task(db_session, maker_user)
+    worker_says({"t1.diameter": 10.0})
+
+    response = await client.post(
+        "/api/vision/preview",
+        headers=auth_headers(maker_user),
+        files={"image": ("p.tif", a_tiff(), "image/tiff")},
+        data={"task_id": str(task.id)},
+    )
+
+    assert response.status_code == 400
+
+
+@pytest.mark.asyncio
+async def test_a_text_file_declared_bmp_is_refused_on_its_bytes(
+    client, db_session, maker_user, worker_says,
+):
+    task = await a_camera_task(db_session, maker_user)
+    worker_says({"t1.diameter": 10.0})
+
+    response = await client.post(
+        "/api/vision/preview",
+        headers=auth_headers(maker_user),
+        files={"image": ("p.bmp", b"i am not an image", "image/bmp")},
+        data={"task_id": str(task.id)},
+    )
+
+    assert response.status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_reference_image_bmp_is_saved_with_the_bmp_extension(
+    client, db_session, maker_user,
+):
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    _, task, _ = await recipe_parts(db_session, recipe.id)
+    await db_session.commit()
+
+    response = await client.post(
+        "/api/vision/reference-images",
+        headers=auth_headers(maker_user),
+        files={"image": ("p.bmp", a_bmp(), "image/x-ms-bmp")},
+        data={"task_id": str(task.id)},
+    )
+
+    assert response.status_code == 200, response.text
+    saved = (await db_session.execute(select(VisionReferenceImage))).scalars().one()
+    assert saved.path.endswith(".bmp")
+    assert (settings.upload_path / saved.path).exists()

src/frontend/flask_app/blueprints/measure.py

@@ -1,4 +1,5 @@
 """MeasurementTec blueprint - recipe selection and measurement execution."""
+import json
 import urllib.parse
 
 import requests as http_requests
@@ -337,6 +338,14 @@ def task_execute(task_id: int):
             measurement_interval_minutes = recipe_resp.get("measurement_interval_minutes")
             allow_manual_input = bool(recipe_resp.get("allow_manual_input", True))
 
+    # #97: camera del task (acquisition_json) o della stazione; il modo di analisi
+    # (impulsiva / in_linea) viene dal task. Solo i task visione ne hanno bisogno.
+    camera = None
+    camera_mode = "impulsiva"
+    if task_resp.get("task_type") in ("camera_measure", "dxf_compare"):
+        camera = _task_camera(task_resp, _current_station()[0])
+        camera_mode = _task_mode(task_resp)
+
     return render_template(
         "measure/task_execute.html",
         task=task_resp,
@@ -345,7 +354,8 @@ def task_execute(task_id: int):
         all_task_ids=all_task_ids,
         measurement_interval_minutes=measurement_interval_minutes,
         allow_manual_input=allow_manual_input,
-        camera_enabled=_station_camera(_current_station()[0]) is not None,
+        camera_enabled=camera is not None,
+        camera_mode=camera_mode,
     )
 
 
@@ -1001,6 +1011,42 @@ def api_vision_execute():
     return jsonify(resp), 200
 
 
+# #97: analysis of a frame without saving anything (preview before «Registra»).
+@measure_bp.route("/api/vision/check", methods=["POST"])
+@login_required
+@role_required("MeasurementTec")
+def api_vision_check():
+    """Proxy: run the task's VisionSuite recipe on the image, nothing is saved."""
+    image = request.files.get("image")
+    task_id = request.form.get("task_id")
+    if image is None or not task_id:
+        return jsonify({
+            "error": True,
+            "detail": _("Dati mancanti: task_id e image sono obbligatori"),
+        }), 400
+
+    form = {"task_id": task_id}
+    if request.form.get("production_run_id"):
+        form["production_run_id"] = request.form["production_run_id"]
+
+    resp = api_client.post(
+        "/api/vision/check",
+        data=form,
+        files={"image": (
+            image.filename or "capture.jpg",
+            image.read(),
+            image.mimetype or "application/octet-stream",
+        )},
+    )
+    if resp.get("error"):
+        status_code = resp.get("status_code", 500)
+        body = {"error": True, "detail": resp.get("detail", _("Errore nell'esecuzione"))}
+        if resp.get("session_expired"):
+            body["session_expired"] = True
+        return jsonify(body), status_code if status_code >= 400 else 500
+    return jsonify(resp), 200
+
+
 def _station_camera(station_code: str | None) -> tuple[str, str] | None:
     """(camera_url, camera_source) of the station, None when it has no camera.
 
@@ -1019,6 +1065,31 @@ def _station_camera(station_code: str | None) -> tuple[str, str] | None:
     return str(url), str(source)
 
 
+def _task_acquisition(task: dict | None) -> dict | None:
+    """#97: acquisition_json of a task as a dict, None when absent or unreadable."""
+    acq = task.get("acquisition_json") if isinstance(task, dict) else None
+    if isinstance(acq, str):
+        try:
+            acq = json.loads(acq)
+        except ValueError:
+            return None
+    return acq if isinstance(acq, dict) else None
+
+
+def _task_camera(task: dict | None, station_code: str | None) -> tuple[str, str] | None:
+    """#97: camera of a task = its acquisition_json (url + source), else the station's."""
+    acq = _task_acquisition(task)
+    if acq and acq.get("camera_url") and acq.get("camera_source"):
+        return str(acq["camera_url"]), str(acq["camera_source"])
+    return _station_camera(station_code)
+
+
+def _task_mode(task: dict | None) -> str:
+    """#97: analysis mode of a task, «impulsiva» unless acquisition_json says «in_linea»."""
+    acq = _task_acquisition(task)
+    return "in_linea" if acq and acq.get("modo") == "in_linea" else "impulsiva"
+
+
 # #72: the browser asks the station's camera service (vs-gui) for a frame; the
 # service address is a server-side matter, so Flask relays and the PNG goes back as is.
 @measure_bp.route("/api/vision/grab", methods=["POST"])
@@ -1026,7 +1097,16 @@ def _station_camera(station_code: str | None) -> tuple[str, str] | None:
 @role_required("MeasurementTec")
 def api_vision_grab():
     """Proxy: grab one frame from the current station's camera, answer a PNG."""
-    camera = _station_camera(_current_station()[0])
+    # #97: con task_id (form o json) la camera e' quella del task, altrimenti della stazione
+    payload = request.get_json(silent=True) or {}
+    task_id = request.form.get("task_id") or payload.get("task_id")
+    task = None
+    if task_id:
+        try:
+            task = api_client.get(f"/api/tasks/{int(task_id)}")
+        except (TypeError, ValueError):
+            task = None
+    camera = _task_camera(task, _current_station()[0])
     if camera is None:
         return jsonify({
             "error": True,

src/frontend/flask_app/static/js/vision_execute.js

@@ -11,6 +11,13 @@
  *   taskType, subtasks, labels.
  * Run context (lot, serial, production run) is read lazily through `ctx()`,
  * which the template binds to the parent task component.
+ *
+ * #97: with a camera (cameraAvailable, the task's or the station's) the task opens
+ * on a frame already grabbed and analysed (/vision/check, nothing saved: «preview»).
+ * modo «impulsiva»: «Acquisisci» redoes grab+check. modo «in_linea»: continuous
+ * loop grab+check, one request at a time, standing still while paused / page hidden
+ * / leaving / saving. «Registra» saves the LAST frame shown through /vision/execute.
+ * Extra config: cameraAvailable, modo, checkUrl.
  */
 function visionExecute() {
   // Overlay colour per role (VisionSuite roles: reference, roi, found).
@@ -24,6 +31,125 @@ function visionExecute() {
     imageSrc: '',      // object URL of the acquired image (shown under the overlay)
     ctx: () => ({}),   // replaced by the template: {lot, serial, runId}
 
+    // #97: preview / loop state
+    preview: false,    // result on screen is an analysis only, not saved
+    saved: false,      // «Registra» done: the saved result replaces the preview
+    lastBlob: null,    // last frame shown, the one «Registra» saves
+    paused: false,     // operator paused the in-line loop
+    registering: false, // «Registra» in progress: the loop stands still
+    leaving: false,    // page is being left: no more requests
+    looping: false,    // an in-line loop is running
+    gen: 0,            // bumped by «Registra»: answers of older requests are dropped
+
+    // #97: start on a frame already acquired and analysed; hook visibility and exit.
+    init() {
+      if (!this.hasCamera) return;
+      document.addEventListener('visibilitychange', () => { if (!document.hidden) this.kick(); });
+      const leave = () => { this.leaving = true; };
+      window.addEventListener('pagehide', leave);
+      window.addEventListener('beforeunload', leave);
+      // After x-init has bound ctx(): in-line starts the loop, impulsive grabs once.
+      this.$nextTick(() => { if (this.inLinea) this.loop(); else this.grab(); });
+    },
+
+    get hasCamera() { return !!(window.__visionCfg || {}).cameraAvailable; },
+    get inLinea() { return this.hasCamera && (window.__visionCfg || {}).modo === 'in_linea'; },
+    // «Registra» needs a frame on screen that is not saved yet
+    get canRecord() { return !!this.lastBlob && !this.saved && !this.registering; },
+
+    shouldRun() {
+      return this.inLinea && !this.paused && !this.saved && !this.registering
+        && !this.leaving && !document.hidden;
+    },
+
+    // Page visible again: restart the loop unless the operator paused it.
+    kick() { if (this.shouldRun() && !this.looping) this.loop(); },
+
+    // In-line loop: one request at a time, at least 300 ms between two of them
+    // (longer after an error, so a dead camera is not hammered).
+    async loop() {
+      if (this.looping) return;
+      this.looping = true;
+      try {
+        while (this.shouldRun()) {
+          const ok = await this.grab();
+          await new Promise((r) => setTimeout(r, ok ? 300 : 2000));
+        }
+      } finally {
+        this.looping = false;
+      }
+    },
+
+    // «Pausa» / «Riprendi»; after «Registra» only «Riprendi» restarts the loop.
+    togglePause() {
+      if (this.paused || this.saved) {
+        this.paused = false;
+        this.saved = false;
+        this.loop();
+      } else {
+        this.paused = true;
+      }
+    },
+
+    // Analysis only (/vision/check): the frame becomes the preview, nothing is saved.
+    async analyze(blob) {
+      const cfg = window.__visionCfg || {};
+      if (!blob || !cfg.checkUrl) return false;
+      const gen = this.gen;
+      this.busy = true;
+      this.error = '';
+      try {
+        const c = this.ctx() || {};
+        const fd = new FormData();
+        fd.append('task_id', cfg.taskId);
+        fd.append('image', blob, blob.name || 'capture.jpg');
+        if (c.runId) fd.append('production_run_id', c.runId);
+        const csrf = document.querySelector('meta[name=csrf-token]')?.content || '';
+        const resp = await fetch(cfg.checkUrl, {
+          method: 'POST', headers: { 'X-CSRFToken': csrf }, body: fd,
+        });
+        const body = await resp.json().catch(() => ({}));
+        if (gen !== this.gen) return false;   // «Registra» took over
+        if (!resp.ok || body.error) {
+          this.error = body.detail || (cfg.labels && cfg.labels.requestFailed) || 'Error';
+          return false;
+        }
+        if (this.imageSrc) URL.revokeObjectURL(this.imageSrc);
+        this.imageSrc = URL.createObjectURL(blob);
+        this.lastBlob = blob;
+        this.result = body;
+        this.preview = true;
+        this.saved = false;
+        this.$nextTick(() => this.drawOverlay());
+        return true;
+      } catch (e) {
+        if (gen === this.gen) this.error = (cfg.labels && cfg.labels.requestFailed) || 'Error';
+        return false;
+      } finally {
+        if (gen === this.gen) this.busy = false;
+      }
+    },
+
+    // «Registra»: save the LAST frame shown with the usual /vision/execute.
+    async record() {
+      if (!this.canRecord) return;
+      const blob = this.lastBlob;
+      this.registering = true;
+      this.gen++;              // drop whatever request is still in flight
+      this.busy = false;
+      this.grabbing = false;
+      try {
+        await this.acquire(blob);
+        if (!this.error && this.result && this.result.vision_result_id) {
+          this.preview = false;
+          this.saved = true;
+        }
+      } finally {
+        this.registering = false;
+        this.kick();           // in-line: stays still while saved, restarts if the save failed
+      }
+    },
+
     // Entry point shared with the future agent camera.
     async acquire(blob) {
       if (!blob || this.busy) return;
@@ -64,37 +190,52 @@ function visionExecute() {
 
     // Station camera (#72): the Flask proxy answers a PNG, which goes through
     // acquire() like a picked file. Errors show as the execute ones do.
+    // #97: sends task_id (the task's camera wins over the station's); with a camera
+    // the frame goes to the preview analysis. Returns true when the frame was analysed.
     async grab() {
       const cfg = window.__visionCfg || {};
-      if (this.busy || this.grabbing || !cfg.grabUrl) return;
+      if (this.busy || this.grabbing || this.registering || !cfg.grabUrl) return false;
+      const gen = this.gen;
       this.grabbing = true;
       this.error = '';
       let blob = null;
       try {
         const csrf = document.querySelector('meta[name=csrf-token]')?.content || '';
+        const fd = new FormData();
+        fd.append('task_id', cfg.taskId);
         const resp = await fetch(cfg.grabUrl, {
-          method: 'POST', headers: { 'X-CSRFToken': csrf },
+          method: 'POST', headers: { 'X-CSRFToken': csrf }, body: fd,
         });
         if (!resp.ok) {
           const body = await resp.json().catch(() => ({}));
-          this.error = body.detail || (cfg.labels && cfg.labels.requestFailed) || 'Error';
-          return;
+          if (gen === this.gen) this.error = body.detail || (cfg.labels && cfg.labels.requestFailed) || 'Error';
+          return false;
         }
         blob = await resp.blob();
       } catch (e) {
-        this.error = (cfg.labels && cfg.labels.requestFailed) || 'Error';
-        return;
+        if (gen === this.gen) this.error = (cfg.labels && cfg.labels.requestFailed) || 'Error';
+        return false;
       } finally {
-        this.grabbing = false;
+        if (gen === this.gen) this.grabbing = false;
       }
-      if (blob) await this.acquire(blob);
+      if (!blob || gen !== this.gen) return false;
+      if (this.hasCamera) return await this.analyze(blob);
+      await this.acquire(blob);
+      return !this.error;
     },
 
     // Input change: take the file and allow picking the same one again.
+    // #97: with a camera the file is a preview too (the loop pauses), «Registra» saves it.
     onPick(ev) {
       const f = ev.target.files && ev.target.files[0];
       ev.target.value = '';
-      if (f) this.acquire(f);
+      if (!f) return;
+      if (this.hasCamera) {
+        if (this.inLinea) this.paused = true;
+        this.analyze(f);
+      } else {
+        this.acquire(f);
+      }
     },
 
     // Image shown: the saved one from the server when available, else the local one.

src/frontend/flask_app/templates/measure/task_execute.html

@@ -534,9 +534,10 @@
   <div x-show="isVisionTask" x-cloak
        x-data="visionExecute()"
        x-init="ctx = () => ({ lot: lotNumber, serial: serialNumber, runId: productionRun ? productionRun.id : null })"
-       class="flex-1 overflow-auto p-3 flex flex-col lg:flex-row gap-3">
+       class="flex-1 min-h-0 overflow-hidden p-3 flex flex-col lg:flex-row gap-3">
+    {# #96: il pannello non scorre mai (overflow-hidden, min-h-0): l'immagine sta in fit nello spazio che resta #}
 
-    <div class="flex-1 min-w-0 flex flex-col gap-2">
+    <div class="flex-1 min-w-0 min-h-0 flex flex-col gap-2">
       <div class="flex items-center gap-2 flex-wrap">
         {# On a tablet this opens the camera; on a PC it picks a file. «Riprova» reuses the same input. #}
         <label class="btn btn-primary text-sm gap-1.5 cursor-pointer" :class="busy ? 'opacity-50 pointer-events-none' : ''">
@@ -545,12 +546,29 @@
                  @change="onPick($event)" :disabled="busy">
         </label>
         {% if camera_enabled %}
-        {# #72: frame dalla camera della stazione, stessa strada di acquire() #}
+        {# #97: camera del task (o della stazione). Impulsiva: «Acquisisci» rifa grab+check; in linea: «Pausa»/«Riprendi» sul ciclo #}
+        {% if camera_mode == 'in_linea' %}
+        <button type="button" class="btn btn-secondary text-sm gap-1.5" @click="togglePause()"
+                :class="registering ? 'opacity-50 pointer-events-none' : ''"
+                :disabled="registering">
+          <span x-text="(paused || saved) ? '{{ _('Riprendi') }}' : '{{ _('Pausa') }}'"></span>
+        </button>
+        {% else %}
+        {# #72: frame dalla camera, stessa strada di acquire(); #97: ora grab + analisi senza salvare #}
         <button type="button" class="btn btn-secondary text-sm gap-1.5" @click="grab()"
                 :class="(busy || grabbing) ? 'opacity-50 pointer-events-none' : ''"
                 :disabled="busy || grabbing">
-          <span>{{ _('Acquisisci dalla camera') }}</span>
+          <span>{{ _('Acquisisci') }}</span>
         </button>
+        {% endif %}
+        {# #97: salva l'ULTIMO frame mostrato (execute); fino ad allora e' solo un'anteprima #}
+        <button type="button" class="btn btn-primary text-sm gap-1.5" @click="record()"
+                :class="canRecord ? '' : 'opacity-50 pointer-events-none'"
+                :disabled="!canRecord">
+          <span>{{ _('Registra') }}</span>
+        </button>
+        <span x-show="preview && !saved" x-cloak
+              class="inline-block px-2 py-0.5 rounded text-xs font-bold bg-amber-50 dark:bg-amber-900/20 border border-amber-300 dark:border-amber-700">{{ _('Anteprima, non registrata') }}</span>
         <span x-show="grabbing" class="text-sm text-[var(--text-muted)]">{{ _('Acquisizione in corso...') }}</span>
         {% endif %}
         <span x-show="busy" class="text-sm text-[var(--text-muted)]">{{ _('Elaborazione in corso...') }}</span>
@@ -558,16 +576,18 @@
 
       <div x-show="error" class="p-2 rounded-lg bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 text-sm text-measure-fail" x-text="error"></div>
 
-      <div x-show="shownImage" class="relative border border-[var(--border-color)] rounded-lg overflow-hidden bg-black/5">
-        <img x-ref="img" :src="shownImage" @load="drawOverlay()" alt="" class="block w-full h-auto">
-        <canvas x-ref="overlay" class="absolute inset-0 w-full h-full pointer-events-none"></canvas>
+      {# #96: riquadro flex-1 min-h-0; img e canvas object-contain sovrapposti (il canvas ha la stessa risoluzione naturale dell'immagine, quindi l'overlay resta allineato) #}
+      <div x-show="shownImage" class="relative flex-1 min-h-0 border border-[var(--border-color)] rounded-lg overflow-hidden bg-black/5">
+        <img x-ref="img" :src="shownImage" @load="drawOverlay()" alt="" class="absolute inset-0 w-full h-full object-contain">
+        <canvas x-ref="overlay" class="absolute inset-0 w-full h-full object-contain pointer-events-none"></canvas>
       </div>
       <div x-show="!shownImage" class="text-sm text-[var(--text-muted)]">
         {{ _('Nessuna immagine acquisita: premi «Acquisisci immagine».') }}
       </div>
     </div>
 
-    <div class="lg:w-80 shrink-0 flex flex-col gap-2" x-show="result">
+    {# #96: colonna esito con scorrimento proprio (solo con molte quote); sotto lg max 40% dell'altezza #}
+    <div class="lg:w-80 shrink-0 min-h-0 overflow-y-auto max-h-[40%] lg:max-h-none flex flex-col gap-2" x-show="result">
       <div class="text-sm font-bold text-[var(--text-primary)]">
         {{ _('Esito') }}: <span x-text="(result && result.outcome) || '-'"></span>
       </div>
@@ -1146,6 +1166,9 @@
   window.__visionCfg = {
     executeUrl: '{{ url_for("measure.api_vision_execute") }}',
     grabUrl: '{{ url_for("measure.api_vision_grab") }}',
+    checkUrl: '{{ url_for("measure.api_vision_check") }}',  {# #97: analisi senza salvare #}
+    cameraAvailable: {{ (camera_enabled|default(false))|tojson }},
+    modo: {{ (camera_mode|default('impulsiva'))|tojson }},
     imageUrlTpl: '{{ url_for("measure.api_vision_result_image", result_id=0) }}',
     taskId: {{ task.id|tojson }},
     taskType: {{ (task.task_type or '')|tojson }},

src/frontend/flask_app/tests/test_measure_vision_check.py

@@ -0,0 +1,182 @@
+"""gitea:Adriano/TieMeasureFlow#97 - operator: image already analysed on entry.
+
+The backend (POST /api/vision/check, task.acquisition_json) is built elsewhere:
+api_client and requests are mocked here with the contract's shapes.
+"""
+import io
+import json
+from unittest.mock import MagicMock, patch
+
+from tests.conftest import api_get_router
+from tests.test_measure_camera_grab import (
+    PNG, RECIPE, STATION, TASK, _fake, _station,
+)
+
+ACQ = {"camera_url": "http://acq-host:9000", "camera_source": "camera:601020", "modo": "in_linea"}
+
+
+def _task_with(acq):
+    return {**TASK, "acquisition_json": acq}
+
+
+# --- grab: the camera of the task, else the station's -------------------------
+def test_grab_with_task_id_uses_task_camera(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, STATION)
+    mock_api_client.get.side_effect = api_get_router({"/api/tasks/12": _task_with(ACQ)})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", data={"task_id": "12"})
+    assert resp.status_code == 200 and resp.data == PNG
+    args, kwargs = post.call_args
+    assert args[0] == "http://acq-host:9000/camera/grab"
+    assert kwargs["json"]["source"] == "camera:601020"
+    mock_api_client.get_station_by_code.assert_not_called()
+
+
+def test_grab_task_id_in_json_works_too(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, STATION)
+    mock_api_client.get.side_effect = api_get_router({"/api/tasks/12": _task_with(ACQ)})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", json={"task_id": 12})
+    assert resp.status_code == 200
+    assert post.call_args[0][0] == "http://acq-host:9000/camera/grab"
+
+
+def test_grab_task_without_acquisition_uses_station(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, STATION)
+    mock_api_client.get.side_effect = api_get_router({"/api/tasks/12": _task_with(None)})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", data={"task_id": "12"})
+    assert resp.status_code == 200
+    args, kwargs = post.call_args
+    assert args[0] == "http://host.docker.internal:8765/camera/grab"
+    assert kwargs["json"]["source"] == "camera:folder"
+
+
+def test_grab_task_camera_wins_even_if_station_has_none(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, {**STATION, "camera_url": None})
+    mock_api_client.get.side_effect = api_get_router({"/api/tasks/12": _task_with(ACQ)})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", data={"task_id": "12"})
+    assert resp.status_code == 200
+    assert post.call_args[0][0] == "http://acq-host:9000/camera/grab"
+
+
+def test_grab_task_lookup_error_falls_back_to_station(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, STATION)
+    mock_api_client.get.side_effect = api_get_router(
+        {"/api/tasks/12": {"error": True, "status_code": 404, "detail": "x"}})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", data={"task_id": "12"})
+    assert resp.status_code == 200
+    assert post.call_args[0][0] == "http://host.docker.internal:8765/camera/grab"
+
+
+def test_grab_acquisition_as_json_string(logged_in_client, mock_api_client, monkeypatch):
+    _station(mock_api_client, monkeypatch, {**STATION, "camera_url": None})
+    mock_api_client.get.side_effect = api_get_router(
+        {"/api/tasks/12": _task_with(json.dumps(ACQ))})
+    with patch("blueprints.measure.http_requests.post", return_value=_fake()) as post:
+        resp = logged_in_client.post("/measure/api/vision/grab", data={"task_id": "12"})
+    assert resp.status_code == 200
+    assert post.call_args[0][0] == "http://acq-host:9000/camera/grab"
+
+
+# --- check proxy ---------------------------------------------------------------
+CHECK_OK = {
+    "outcome": "ok", "overlay": [], "failures": [], "calibration": "ok",
+    "measurements": [{"subtask_id": 1, "value": 9.9, "pass_fail": "pass"}],
+}
+
+
+def test_check_proxy_forwards_multipart(logged_in_client, mock_api_client):
+    mock_api_client.post.return_value = CHECK_OK
+    resp = logged_in_client.post(
+        "/measure/api/vision/check",
+        data={
+            "task_id": "12", "production_run_id": "4",
+            "image": (io.BytesIO(b"\xff\xd8\xff fake"), "shot.jpg", "image/jpeg"),
+        },
+        content_type="multipart/form-data",
+    )
+    assert resp.status_code == 200
+    assert resp.get_json()["measurements"][0]["pass_fail"] == "pass"
+    args, kwargs = mock_api_client.post.call_args
+    assert args[0] == "/api/vision/check"
+    assert kwargs["data"] == {"task_id": "12", "production_run_id": "4"}
+    name, content, mime = kwargs["files"]["image"]
+    assert name == "shot.jpg" and mime == "image/jpeg" and content.startswith(b"\xff\xd8")
+
+
+def test_check_proxy_without_run_leaves_it_out(logged_in_client, mock_api_client):
+    mock_api_client.post.return_value = CHECK_OK
+    logged_in_client.post(
+        "/measure/api/vision/check",
+        data={"task_id": "12", "image": (io.BytesIO(b"x"), "a.jpg", "image/jpeg")},
+        content_type="multipart/form-data",
+    )
+    assert mock_api_client.post.call_args[1]["data"] == {"task_id": "12"}
+
+
+def test_check_proxy_requires_image(logged_in_client, mock_api_client):
+    resp = logged_in_client.post("/measure/api/vision/check", data={"task_id": "12"})
+    assert resp.status_code == 400
+    mock_api_client.post.assert_not_called()
+
+
+def test_check_proxy_relays_backend_error(logged_in_client, mock_api_client):
+    mock_api_client.post.return_value = {"error": True, "status_code": 422, "detail": "nessun grafo"}
+    resp = logged_in_client.post(
+        "/measure/api/vision/check",
+        data={"task_id": "12", "image": (io.BytesIO(b"x"), "a.jpg", "image/jpeg")},
+        content_type="multipart/form-data",
+    )
+    assert resp.status_code == 422
+    assert resp.get_json()["detail"] == "nessun grafo"
+
+
+def test_check_requires_login(client):
+    resp = client.post("/measure/api/vision/check")
+    assert resp.status_code in (302, 401)
+
+
+# --- execute page: buttons and config -------------------------------------------
+def _page(logged_in_client, mock_api_client, monkeypatch, station, task):
+    _station(mock_api_client, monkeypatch, station)
+    mock_api_client.get_station_recipes.return_value = {"items": [{"id": 3}]}
+    mock_api_client.get.side_effect = api_get_router({
+        "/api/tasks/12": task,
+        "/api/recipes/3/tasks": [{"id": 12, "order_index": 0}],
+        "/api/recipes/3": RECIPE,
+    })
+    return logged_in_client.get("/measure/execute/12").get_data(as_text=True)
+
+
+def test_page_impulsive_has_acquire_and_record(logged_in_client, mock_api_client, monkeypatch):
+    html = _page(logged_in_client, mock_api_client, monkeypatch, STATION, TASK)
+    assert 'cameraAvailable: true' in html
+    assert 'modo: "impulsiva"' in html
+    assert "/measure/api/vision/check" in html
+    assert "grab()" in html and "record()" in html
+    assert "togglePause()" not in html
+    assert "Anteprima, non registrata" in html
+
+
+def test_page_in_line_has_pause_and_record(logged_in_client, mock_api_client, monkeypatch):
+    html = _page(logged_in_client, mock_api_client, monkeypatch, STATION, _task_with(ACQ))
+    assert 'modo: "in_linea"' in html
+    assert "togglePause()" in html and "record()" in html
+    assert "grab()" not in html  # the loop grabs by itself
+
+
+def test_page_task_camera_enables_it_without_station_camera(logged_in_client, mock_api_client, monkeypatch):
+    html = _page(logged_in_client, mock_api_client, monkeypatch,
+                 {**STATION, "camera_url": None}, _task_with({**ACQ, "modo": "impulsiva"}))
+    assert 'cameraAvailable: true' in html
+    assert "grab()" in html
+
+
+def test_page_without_camera_is_as_before(logged_in_client, mock_api_client, monkeypatch):
+    html = _page(logged_in_client, mock_api_client, monkeypatch,
+                 {**STATION, "camera_url": None}, TASK)
+    assert 'cameraAvailable: false' in html
+    assert "record()" not in html and "togglePause()" not in html and "grab()" not in html

src/frontend/flask_app/tests/test_vision_panel_fit.py

@@ -0,0 +1,54 @@
+"""gitea:Adriano/TieMeasureFlow#96 - l'immagine del task visione sta in fit, senza scorrimento.
+
+Controllo sulle classi del template: pannello overflow-hidden, img/canvas
+object-contain sovrapposti, nessun h-auto sull'immagine (era la causa dello scorrimento).
+"""
+from pathlib import Path
+
+TEMPLATE = Path(__file__).resolve().parents[1] / "templates" / "measure" / "task_execute.html"
+
+
+def _panel():
+    src = TEMPLATE.read_text(encoding="utf-8")
+    start = src.rindex("<div", 0, src.index('x-data="visionExecute()"'))
+    end = src.index("MEASUREMENT TIMER BANNER")
+    return src[start:end]
+
+
+def _tag_with(panel, marker):
+    # Il tag (aperto) che contiene il marker; i '>' dentro le virgolette (es. "=>") non lo chiudono.
+    pos = panel.index(marker)
+    i = panel.rindex("<", 0, pos)
+    quote = None
+    for j in range(i, len(panel)):
+        c = panel[j]
+        if quote:
+            quote = None if c == quote else quote
+        elif c in "\"'":
+            quote = c
+        elif c == ">":
+            return panel[i:j + 1]
+    raise AssertionError(marker)
+
+
+def test_panel_does_not_scroll():
+    tag = _tag_with(_panel(), 'x-data="visionExecute()"')
+    assert "overflow-hidden" in tag and "min-h-0" in tag
+    assert "overflow-auto" not in tag
+
+
+def test_image_is_object_contain_without_h_auto():
+    panel = _panel()
+    img = _tag_with(panel, 'x-ref="img"')
+    assert "object-contain" in img
+    assert "h-auto" not in img
+    canvas = _tag_with(panel, 'x-ref="overlay"')
+    assert "object-contain" in canvas  # stesso fit dell'img: overlay allineato
+
+
+def test_image_box_and_outcome_column_can_shrink():
+    panel = _panel()
+    box = _tag_with(panel, 'x-show="shownImage"')
+    assert "flex-1" in box and "min-h-0" in box
+    outcome = _tag_with(panel, 'x-show="result">')
+    assert "overflow-y-auto" in outcome and "min-h-0" in outcome