Merge lavoro/daitarn-46-motore: percorsi con lettera di unità (#46)

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

src/backend/api/routers/vision.py

@@ -5,19 +5,25 @@ the numbers: that is what lets a station's configuration change without touching
 the frontend or the recipes.
 """
 import io
+import json
 
+from fastapi.responses import FileResponse
 from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status
 from PIL import Image
 from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from src.backend.api.middleware.api_key import require_maker, require_measurement_tec
-from src.backend.api.routers.files import ALLOWED_IMAGE_TYPES, validate_file_size
+from src.backend.api.routers.files import (
+    ALLOWED_IMAGE_TYPES, resolve_upload_path, validate_file_size,
+)
 from src.backend.config import settings
 from src.backend.database import get_db
 from src.backend.models.api.vision import (
-    VisionExecuteResponse, VisionMeasurementResult, VisionReferenceImageResponse,
+    VisionExecuteResponse, VisionMeasurementResult, VisionRecipeResponse,
+    VisionRecipeUploadResponse, VisionReferenceImageResponse,
 )
+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 vision_service
@@ -126,7 +132,7 @@ async def execute(
 ) -> VisionExecuteResponse:
     task = await _task_or_404(db, task_id)
 
-    result, saved = await vision_service.execute_task(
+    result, saved, report = await vision_service.execute_task(
         db,
         task,
         await _read_image(image),
@@ -135,6 +141,7 @@ async def execute(
         lot_number=lot_number,
         serial_number=serial_number,
         production_run_id=production_run_id,
+        image_ext=_IMAGE_EXTENSIONS.get(image.content_type, "png"),
     )
     await db.commit()
 
@@ -147,6 +154,111 @@ async def execute(
             )
             for m in saved
         ],
+        outcome=report.get("outcome"),
+        overlay=report.get("overlay") or [],
+        image_url=f"/api/vision/results/{result.id}/image",
+        failures=report.get("failures") or [],
+    )
+
+
+@router.get("/results/{result_id}/image")
+async def get_result_image(
+    result_id: int,
+    db: AsyncSession = Depends(get_db),
+    current_user: User = Depends(require_measurement_tec),
+) -> FileResponse:
+    """The image a vision run measured, as saved by `execute` (#46)."""
+    result = (await db.execute(
+        select(VisionResult).where(VisionResult.id == result_id)
+    )).scalar_one_or_none()
+    if result is None or not result.image_path:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Result image not found",
+        )
+    return FileResponse(resolve_upload_path(result.image_path))
+
+
+def _422(errors: list[str]) -> HTTPException:
+    # detail e' una lista di stringhe: il frontend legge i 422 solo da `detail`.
+    return HTTPException(
+        status_code=status.HTTP_422_UNPROCESSABLE_CONTENT, detail=errors,
+    )
+
+
+@router.post("/tasks/{task_id}/recipe", response_model=VisionRecipeUploadResponse)
+async def upload_recipe(
+    task_id: int,
+    recipe: UploadFile = File(...),
+    files: list[UploadFile] = File(default=[]),
+    db: AsyncSession = Depends(get_db),
+    current_user: User = Depends(require_maker),
+) -> VisionRecipeUploadResponse:
+    """Load a VisionSuite v2 recipe plus its meta files onto a task (#46)."""
+    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"])
+
+    raw = await recipe.read()
+    if not validate_file_size(len(raw)):
+        raise _422([f"recipe exceeds {settings.max_upload_size_mb}MB"])
+    try:
+        graph = json.loads(raw)
+    except ValueError:
+        raise _422(["the recipe is not valid JSON"])
+    if not isinstance(graph, dict):
+        raise _422(["the recipe must be a JSON object"])
+
+    uploads: list[tuple[str, bytes]] = []
+    for f in files:
+        content = await f.read()
+        if not validate_file_size(len(content)):
+            raise _422([f"file {f.filename!r} exceeds {settings.max_upload_size_mb}MB"])
+        uploads.append((f.filename or "", content))
+    placed, errors = vision_service.match_recipe_files(graph, uploads)
+    if errors:
+        raise _422(errors)
+
+    # 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,
+        recipe_dir=recipe_dir,
+        files=vision_service.list_recipe_files(recipe_dir),
+        outputs=check["outputs"],
+    )
+
+
+@router.get("/tasks/{task_id}/recipe", response_model=VisionRecipeResponse)
+async def get_recipe(
+    task_id: int,
+    db: AsyncSession = Depends(get_db),
+    current_user: User = Depends(require_maker),
+) -> VisionRecipeResponse:
+    task = await _task_or_404(db, task_id)
+    outputs: list[dict] = []
+    if task.vision_json:
+        check = await vision_service.validate_recipe(
+            task.vision_json, task.vision_recipe_dir,
+        )
+        outputs = check.get("outputs", [])
+    return VisionRecipeResponse(
+        task_id=task.id,
+        recipe_dir=task.vision_recipe_dir,
+        recipe=task.vision_json,
+        files=vision_service.list_recipe_files(task.vision_recipe_dir),
+        outputs=outputs,
     )
 
 

src/backend/migrations/versions/016_vision_recipe_dir.py

@@ -0,0 +1,30 @@
+"""recipe_tasks.vision_recipe_dir: cartella della ricetta VisionSuite v2 (#46)
+
+Percorso relativo sotto upload_path della cartella immutabile che contiene
+recipe.json e i file di meta (DXF, modelli .npz, ...).
+
+Revision ID: 016_vision_recipe_dir
+Revises: 015_api_key_hash
+Create Date: 2026-10-07
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+revision: str = '016_vision_recipe_dir'
+down_revision: Union[str, None] = '015_api_key_hash'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # batch: SQLite non sa fare DROP COLUMN nativo su tutte le versioni
+    with op.batch_alter_table('recipe_tasks') as batch:
+        batch.add_column(sa.Column('vision_recipe_dir', sa.String(500), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table('recipe_tasks') as batch:
+        batch.drop_column('vision_recipe_dir')

src/backend/models/api/vision.py

@@ -16,6 +16,34 @@ class VisionExecuteResponse(BaseModel):
     vision_result_id: int
     engine_version: str
     measurements: list[VisionMeasurementResult]
+    # Esito VisionSuite (informativo: il verdetto lo danno utl/ltl), overlay
+    # in px immagine, URL dell'immagine salvata e strumenti falliti (#46).
+    outcome: str | None = None
+    overlay: list[dict] = []
+    image_url: str | None = None
+    failures: list[dict] = []
+
+
+class VisionRecipeOutput(BaseModel):
+    """One numeric output a recipe offers to the quotes."""
+    key: str
+    quantity: str | None = None
+    unit: str | None = None
+
+
+class VisionRecipeUploadResponse(BaseModel):
+    task_id: int
+    recipe_dir: str
+    files: list[str]
+    outputs: list[VisionRecipeOutput]
+
+
+class VisionRecipeResponse(BaseModel):
+    task_id: int
+    recipe_dir: str | None = None
+    recipe: dict | None = None
+    files: list[str]
+    outputs: list[VisionRecipeOutput]
 
 
 class VisionReferenceImageResponse(BaseModel):

src/backend/models/orm/task.py

@@ -18,7 +18,8 @@ if TYPE_CHECKING:
 TASK_TYPES = ("note", "measure", "drawing", "dxf_compare", "camera_measure")
 
 # Types the operator screen treats as "there are quotes to take here".
-MEASURING_TASK_TYPES = ("measure", "camera_measure")
+# dxf_compare produce quote come camera_measure (#46)
+MEASURING_TASK_TYPES = ("measure", "camera_measure", "dxf_compare")
 
 
 class RecipeTask(Base):
@@ -51,6 +52,9 @@ class RecipeTask(Base):
     # server routes it and never interprets it, which is what keeps VisionSuite
     # out of this container.
     vision_json: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
+    # 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)
 
     # Relationships
     version: Mapped["RecipeVersion"] = relationship(back_populates="tasks")

src/backend/services/recipe_service.py

@@ -115,6 +115,8 @@ async def _copy_tasks_to_version(
             # a camera_measure task unable to execute from the moment a
             # recipe with measurements is next edited.
             vision_json=task.vision_json,
+            # Cartella immutabile: basta il riferimento (#46).
+            vision_recipe_dir=task.vision_recipe_dir,
         )
         db.add(new_task)
         await db.flush()  # get new_task.id

src/backend/services/vision_service.py

@@ -5,6 +5,7 @@ to the worker over HTTP and stays ignorant of how a number was produced.
 """
 from __future__ import annotations
 
+import hashlib
 import json
 import math
 from pathlib import Path
@@ -46,7 +47,13 @@ def _is_measurable(value: object) -> bool:
     )
 
 
-async def _call_worker(image_bytes: bytes, graph: dict) -> dict:
+async def _call_worker(
+    image_bytes: bytes,
+    graph: dict,
+    *,
+    recipe_dir: str | None = None,
+    calibration: dict | None = None,
+) -> dict:
     """The one place that talks to the worker; the tests replace it.
 
     The worker's fault must not become the API's fault (spec's edge-case
@@ -60,12 +67,19 @@ async def _call_worker(image_bytes: bytes, graph: dict) -> dict:
     is not the worker's JSON contract must not turn into a bare KeyError
     further down.
     """
+    # recipe_dir (relativo, #46) e calibration sono opzionali: se assenti non
+    # si mandano, il worker usa i suoi default.
+    data = {"graph": json.dumps(graph)}
+    if recipe_dir:
+        data["recipe_dir"] = recipe_dir
+    if calibration:
+        data["calibration"] = json.dumps(calibration)
     try:
         async with httpx.AsyncClient(timeout=120.0) as client:
             response = await client.post(
                 f"{settings.vision_worker_url}/run",
                 files={"image": ("frame.png", image_bytes, "image/png")},
-                data={"graph": json.dumps(graph)},
+                data=data,
             )
     except httpx.TimeoutException as exc:
         raise HTTPException(
@@ -122,6 +136,188 @@ async def _call_worker(image_bytes: bytes, graph: dict) -> dict:
     return report
 
 
+async def validate_recipe(graph: dict, recipe_dir: str | None) -> dict:
+    """Ask the worker's /validate whether a v2 recipe is loadable (#46).
+
+    Returns {"ok", "errors", "outputs"}. A worker 422 (e.g. recipe_dir
+    refused) is folded into ok=False; transport faults become 502/504 as in
+    `_call_worker`. Replaced by the tests.
+    """
+    data = {"graph": json.dumps(graph)}
+    if recipe_dir:
+        data["recipe_dir"] = recipe_dir
+    try:
+        async with httpx.AsyncClient(timeout=60.0) as client:
+            response = await client.post(
+                f"{settings.vision_worker_url}/validate", 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}",
+        ) from exc
+    except httpx.HTTPError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail=f"the vision worker is unreachable: {exc}",
+        ) from exc
+    if response.status_code == status.HTTP_422_UNPROCESSABLE_CONTENT:
+        try:
+            detail = response.json().get("detail", response.text)
+        except ValueError:
+            detail = response.text
+        errors = detail if isinstance(detail, list) else [str(detail)]
+        return {"ok": False, "errors": [str(e) for e in errors], "outputs": []}
+    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="the vision worker's answer was malformed: not valid JSON",
+        ) from exc
+    if not isinstance(body, dict) or "ok" not in body:
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail="the vision worker's answer was malformed: missing ok",
+        )
+    body.setdefault("errors", [])
+    body.setdefault("outputs", [])
+    return body
+
+
+# Task types that run a vision graph (#46).
+VISION_TASK_TYPES = ("camera_measure", "dxf_compare")
+
+
+def _safe_join(root: Path, relative: str) -> Path:
+    """root/relative, refusing absolute paths, '..' and anything leaving root."""
+    candidate = Path(relative)
+    if candidate.is_absolute() or ".." in candidate.parts or not candidate.parts:
+        raise ValueError(f"unsafe path: {relative}")
+    full = (root / candidate).resolve()
+    if not full.is_relative_to(root.resolve()):
+        raise ValueError(f"unsafe path: {relative}")
+    return full
+
+
+def collect_meta_paths(node: object) -> list[str]:
+    """Every `path` string found in any dict under the recipe's `meta`."""
+    found: list[str] = []
+    if isinstance(node, dict):
+        for key, value in node.items():
+            if key == "path" and isinstance(value, str):
+                found.append(value)
+            else:
+                found.extend(collect_meta_paths(value))
+    elif isinstance(node, list):
+        for item in node:
+            found.extend(collect_meta_paths(item))
+    return found
+
+
+def match_recipe_files(
+    recipe: dict, uploads: list[tuple[str, bytes]],
+) -> tuple[dict[str, bytes], list[str]]:
+    """Pair each uploaded file with a meta path by base name (#46).
+
+    Returns ({relative path: bytes}, errors). Errors list every upload that
+    has no name or matches no meta path, and every unsafe meta path. A meta
+    path left without a file is not an error here: /validate decides.
+    """
+    paths = collect_meta_paths(recipe.get("meta", {}))
+    by_name: dict[str, str] = {}
+    for p in paths:
+        by_name.setdefault(Path(p.replace("\\", "/")).name, p)
+    placed: dict[str, bytes] = {}
+    errors: list[str] = []
+    for name, content in uploads:
+        if not name:
+            errors.append("a file has no name")
+            continue
+        target = by_name.get(Path(name.replace("\\", "/")).name)
+        if target is None:
+            errors.append(f"file {name!r} matches no path in the recipe's meta")
+            continue
+        try:
+            _safe_join(Path("."), target)
+        except ValueError:
+            errors.append(f"meta path {target!r} is not allowed")
+            continue
+        placed[target] = content
+    return placed, errors
+
+
+def store_recipe_folder(
+    task_id: int, recipe: dict, files: dict[str, bytes],
+) -> str:
+    """Write the immutable recipe folder; return its path relative to uploads.
+
+    Folder name = first 16 hex of the recipe's sha256. If it already exists it
+    is left untouched (immutable: other task versions may reference it).
+    """
+    canonical = json.dumps(recipe, sort_keys=True, separators=(",", ":"))
+    # Il digest copre anche i file (path ordinato + sha256 del contenuto): la
+    # stessa ricetta con file diversi (es. primo upload senza il DXF) deve dare
+    # una cartella diversa, altrimenti quella incompleta resterebbe per sempre
+    # perche' immutabile (#46).
+    h = hashlib.sha256(canonical.encode("utf-8"))
+    for rel in sorted(files):
+        h.update(b"\0" + rel.encode("utf-8") + b"\0")
+        h.update(hashlib.sha256(files[rel]).digest())
+    digest = h.hexdigest()[:16]
+    relative = f"vision/recipes/{task_id}/{digest}"
+    folder = settings.upload_path / relative
+    if folder.exists():
+        return relative
+    folder.mkdir(parents=True, exist_ok=True)
+    (folder / "recipe.json").write_text(
+        json.dumps(recipe, indent=2, ensure_ascii=False), encoding="utf-8",
+    )
+    for rel, content in files.items():
+        target = _safe_join(folder, rel)
+        target.parent.mkdir(parents=True, exist_ok=True)
+        target.write_bytes(content)
+    return relative
+
+
+def list_recipe_files(recipe_dir: str | None) -> list[str]:
+    """Files of a recipe folder, relative to it (recipe.json excluded)."""
+    if not recipe_dir:
+        return []
+    try:
+        folder = _safe_join(settings.upload_path, recipe_dir)
+    except ValueError:
+        return []
+    if not folder.is_dir():
+        return []
+    return sorted(
+        p.relative_to(folder).as_posix()
+        for p in folder.rglob("*") if p.is_file() and p.name != "recipe.json"
+    )
+
+
+def save_result_files(
+    task_id: int, image_bytes: bytes, overlay: list, image_ext: str = "png",
+) -> tuple[str, str]:
+    """Save the executed image and its overlay JSON side by side (#46).
+
+    Returns (image_path, overlay_path), both relative to uploads.
+    """
+    stem = uuid4().hex
+    base = Path("vision") / "results" / str(task_id)
+    (settings.upload_path / base).mkdir(parents=True, exist_ok=True)
+    image_rel = (base / f"{stem}.{image_ext}").as_posix()
+    overlay_rel = (base / f"{stem}.overlay.json").as_posix()
+    (settings.upload_path / image_rel).write_bytes(image_bytes)
+    (settings.upload_path / overlay_rel).write_text(json.dumps(overlay), encoding="utf-8")
+    return image_rel, overlay_rel
+
+
 async def execute_task(
     db: AsyncSession,
     task: RecipeTask,
@@ -132,8 +328,9 @@ async def execute_task(
     lot_number: str | None = None,
     serial_number: str | None = None,
     production_run_id: int | None = None,
-) -> tuple[VisionResult, list[Measurement]]:
-    if task.task_type != "camera_measure":
+    image_ext: str = "png",
+) -> tuple[VisionResult, list[Measurement], dict]:
+    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",
@@ -210,7 +407,11 @@ async def execute_task(
             ),
         )
 
-    report = await _call_worker(image_bytes, task.vision_json)
+    # 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,
+    )
     outputs = report["outputs"]
 
     # Every quote or none. A half-measured piece read as a whole one is worse
@@ -231,8 +432,12 @@ async def execute_task(
             ),
         )
 
+    overlay = report.get("overlay") or []
+    image_path, overlay_path = save_result_files(task.id, image_bytes, overlay, image_ext)
     result = VisionResult(
         task_id=task.id,
+        image_path=image_path,
+        overlay_path=overlay_path,
         engine_version=report["engine_version"],
         executed_on="server",
         graph_snapshot=task.vision_json,
@@ -257,7 +462,7 @@ async def execute_task(
             enforce_tolerance_gate=False,
         ))
 
-    return result, saved
+    return result, saved, report
 
 
 def _reference_file_path(reference: VisionReferenceImage) -> Path:
@@ -377,4 +582,6 @@ async def preview(db: AsyncSession, task: RecipeTask, image_bytes: bytes) -> dic
             status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
             detail="this task carries no vision graph",
         )
-    return await _call_worker(image_bytes, task.vision_json)
+    return await _call_worker(
+        image_bytes, task.vision_json, recipe_dir=task.vision_recipe_dir,
+    )

src/backend/tests/test_migrations.py

@@ -131,3 +131,21 @@ class TestApiKeyHashMigration:
 
         command.upgrade(cfg, "head")  # and up again
         assert "api_keys" in _inspect(db_path).get_table_names()
+
+
+class TestVisionRecipeDirMigration:
+    """016_vision_recipe_dir: recipe_tasks.vision_recipe_dir, su e giu (#46)."""
+
+    def test_016_upgrade_and_downgrade(self, sqlite_database_url):
+        db_path, _ = sqlite_database_url
+        cfg = _alembic_config()
+
+        def cols():
+            return {c["name"] for c in _inspect(db_path).get_columns("recipe_tasks")}
+
+        command.upgrade(cfg, "head")
+        assert "vision_recipe_dir" in cols()
+        command.downgrade(cfg, "015_api_key_hash")
+        assert "vision_recipe_dir" not in cols()
+        command.upgrade(cfg, "head")  # e di nuovo su
+        assert "vision_recipe_dir" in cols()

src/backend/tests/test_vision_execute.py

@@ -66,7 +66,7 @@ async def two_vision_quotes(db_session, recipe_id: int):
 def worker_says(monkeypatch):
     """The worker does not run in tests: its response is faked here."""
     def _install(outputs: dict, failures: list | None = None):
-        async def fake_call(image_bytes: bytes, graph: dict) -> dict:
+        async def fake_call(image_bytes: bytes, graph: dict, **kwargs) -> dict:
             return {
                 "outputs": outputs,
                 "failures": failures or [],
@@ -316,7 +316,7 @@ async def test_a_pending_fail_blocks_before_the_worker_is_called(
     )
     await db_session.commit()
 
-    async def worker_must_not_be_called(image_bytes: bytes, graph: dict) -> dict:
+    async def worker_must_not_be_called(image_bytes: bytes, graph: dict, **kwargs) -> dict:
         raise AssertionError("the worker must not run while the operator is blocked")
     monkeypatch.setattr(
         "src.backend.services.vision_service._call_worker", worker_must_not_be_called,

src/backend/tests/test_vision_execute_gates.py

@@ -53,7 +53,7 @@ async def a_camera_task(db_session, recipe_id: int):
 @pytest.fixture
 def worker_says(monkeypatch):
     def _install(outputs: dict):
-        async def fake_call(image_bytes: bytes, graph: dict) -> dict:
+        async def fake_call(image_bytes: bytes, graph: dict, **kwargs) -> dict:
             return {"outputs": outputs, "failures": [],
                     "engine_version": "e" * 40, "duration_ms": 3}
         monkeypatch.setattr(

src/backend/tests/test_vision_recipe_upload.py

@@ -0,0 +1,282 @@
+"""Ricetta VisionSuite v2 su un task, execute dxf_compare, copy-on-write (#46)."""
+import io
+import json
+
+import pytest
+from PIL import Image
+from sqlalchemy import select
+
+from src.backend.config import settings
+from src.backend.models.orm.recipe import RecipeVersion
+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
+
+RECIPE = {
+    "schema_version": 2, "name": "dxf", "tools": [],
+    "meta": {"dxf": {"d1": {"path": "dxf/part.dxf"}}, "models": {"m": {"path": "models/m.npz"}}},
+}
+OUTPUTS = [{"key": "cmp.points_in_pct", "quantity": "ratio", "unit": "%"}]
+GOOD_FILES = (("part.dxf", b"0 EOF"), ("m.npz", b"npz"))
+
+
+@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 validate_says(monkeypatch):
+    """Il worker /validate non gira nei test: risposta finta."""
+    def _install(ok=True, errors=None, outputs=None):
+        async def fake(graph, recipe_dir):
+            return {
+                "ok": ok, "errors": errors or [],
+                "outputs": outputs if outputs is not None else OUTPUTS,
+            }
+        monkeypatch.setattr("src.backend.services.vision_service.validate_recipe", fake)
+    return _install
+
+
+def an_image() -> bytes:
+    buf = io.BytesIO()
+    Image.new("L", (32, 32)).save(buf, format="PNG")
+    return buf.getvalue()
+
+
+async def make_task(db_session, user, task_type="dxf_compare"):
+    recipe = await create_test_recipe(db_session, user.id)
+    version = (await db_session.execute(
+        select(RecipeVersion).where(RecipeVersion.recipe_id == recipe.id)
+    )).scalars().first()
+    task = (await db_session.execute(
+        select(RecipeTask).where(RecipeTask.version_id == version.id)
+    )).scalars().first()
+    subtask = (await db_session.execute(
+        select(RecipeSubtask).where(RecipeSubtask.task_id == task.id)
+    )).scalars().first()
+    task.task_type = task_type
+    await db_session.commit()
+    return task, subtask
+
+
+def upload(client, user, task, recipe=RECIPE, files=()):
+    return client.post(
+        f"/api/vision/tasks/{task.id}/recipe",
+        headers=auth_headers(user),
+        files=[("recipe", ("r.json", json.dumps(recipe).encode(), "application/json"))]
+        + [("files", (n, c, "application/octet-stream")) for n, c in files],
+    )
+
+
+@pytest.mark.asyncio
+async def test_upload_ok_stores_folder_and_task(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    resp = await upload(client, maker_user, task, files=GOOD_FILES)
+    assert resp.status_code == 200, resp.text
+    body = resp.json()
+    assert body["outputs"] == OUTPUTS
+    assert sorted(body["files"]) == ["dxf/part.dxf", "models/m.npz"]
+    assert body["recipe_dir"].startswith(f"vision/recipes/{task.id}/")
+    folder = settings.upload_path / body["recipe_dir"]
+    assert (folder / "recipe.json").is_file() and (folder / "dxf" / "part.dxf").is_file()
+    await db_session.refresh(task)
+    assert task.vision_json == RECIPE and task.vision_recipe_dir == body["recipe_dir"]
+
+    got = await client.get(f"/api/vision/tasks/{task.id}/recipe", headers=auth_headers(maker_user))
+    assert got.status_code == 200
+    assert got.json()["recipe"] == RECIPE and got.json()["outputs"] == OUTPUTS
+
+
+@pytest.mark.asyncio
+async def test_get_without_recipe_is_empty(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    got = await client.get(f"/api/vision/tasks/{task.id}/recipe", headers=auth_headers(maker_user))
+    assert got.json() == {
+        "task_id": task.id, "recipe_dir": None, "recipe": None, "files": [], "outputs": [],
+    }
+
+
+@pytest.mark.asyncio
+async def test_unmatched_file_name_is_422_list(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    resp = await upload(client, maker_user, task, files=[("other.dxf", b"x")])
+    assert resp.status_code == 422
+    assert isinstance(resp.json()["detail"], list) and "other.dxf" in resp.json()["detail"][0]
+    await db_session.refresh(task)
+    assert task.vision_json is None and task.vision_recipe_dir is None
+
+
+@pytest.mark.asyncio
+async def test_traversal_in_meta_path_is_422(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    evil = {"schema_version": 2, "tools": [], "meta": {"dxf": {"d": {"path": "../../evil.dxf"}}}}
+    resp = await upload(client, maker_user, task, recipe=evil, files=[("evil.dxf", b"x")])
+    assert resp.status_code == 422
+    assert not (settings.upload_path.parent / "evil.dxf").exists()
+
+
+@pytest.mark.asyncio
+async def test_wrong_task_type_is_422(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user, task_type="measure")
+    resp = await upload(client, maker_user, task, files=GOOD_FILES)
+    assert resp.status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_invalid_json_is_422(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    resp = await client.post(
+        f"/api/vision/tasks/{task.id}/recipe", headers=auth_headers(maker_user),
+        files=[("recipe", ("r.json", b"{nope", "application/json"))],
+    )
+    assert resp.status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_worker_not_ok_is_422_and_task_unchanged(client, db_session, maker_user, validate_says):
+    validate_says(ok=False, errors=["meta file missing"])
+    task, _ = await make_task(db_session, maker_user)
+    task.vision_json = {"old": 1}
+    task.vision_recipe_dir = "vision/recipes/old"
+    await db_session.commit()
+    resp = await upload(client, maker_user, task, files=GOOD_FILES)
+    assert resp.status_code == 422
+    assert resp.json()["detail"] == ["meta file missing"]
+    await db_session.refresh(task)
+    assert task.vision_json == {"old": 1} and task.vision_recipe_dir == "vision/recipes/old"
+
+
+@pytest.mark.asyncio
+async def test_existing_folder_is_not_rewritten(client, db_session, maker_user, validate_says):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    first = (await upload(client, maker_user, task, files=GOOD_FILES)).json()
+    marker = settings.upload_path / first["recipe_dir"] / "dxf" / "part.dxf"
+    marker.write_bytes(b"CHANGED")
+    second = (await upload(client, maker_user, task, files=GOOD_FILES)).json()
+    assert second["recipe_dir"] == first["recipe_dir"]
+    assert marker.read_bytes() == b"CHANGED"
+
+
+@pytest.mark.asyncio
+async def test_upload_requires_maker(
+    client, db_session, maker_user, measurement_tec_user, validate_says,
+):
+    validate_says()
+    task, _ = await make_task(db_session, maker_user)
+    resp = await upload(client, measurement_tec_user, task, files=GOOD_FILES)
+    assert resp.status_code in (401, 403)
+
+
+@pytest.mark.asyncio
+async def test_execute_dxf_compare_saves_files_and_extended_response(
+    client, db_session, measurement_tec_user, monkeypatch,
+):
+    task, subtask = await make_task(db_session, measurement_tec_user)
+    task.vision_json = RECIPE
+    task.vision_recipe_dir = "vision/recipes/1/abc"
+    subtask.vision_output = "cmp.points_in_pct"
+    await db_session.commit()
+    seen = {}
+    overlay = [{"type": "contour", "role": "found", "rows": [1], "cols": [2], "tool_id": "cmp"}]
+
+    async def fake_call(image_bytes, graph, **kwargs):
+        seen.update(kwargs)
+        return {
+            "outputs": {"cmp.points_in_pct": float(subtask.nominal)},
+            "failures": [], "engine_version": "e" * 40, "duration_ms": 5,
+            "overlay": overlay, "outcome": "OK",
+        }
+    monkeypatch.setattr("src.backend.services.vision_service._call_worker", fake_call)
+
+    resp = await client.post(
+        "/api/vision/execute", headers=auth_headers(measurement_tec_user),
+        files={"image": ("p.png", an_image(), "image/png")},
+        data={"task_id": str(task.id)},
+    )
+    assert resp.status_code == 200, resp.text
+    body = resp.json()
+    assert seen["recipe_dir"] == "vision/recipes/1/abc" and "calibration" not in seen
+    assert body["outcome"] == "OK" and body["overlay"] == overlay and body["failures"] == []
+    assert body["image_url"] == f"/api/vision/results/{body['vision_result_id']}/image"
+    assert body["measurements"][0]["pass_fail"] == "pass"
+
+    result = (await db_session.execute(select(VisionResult))).scalars().one()
+    assert (settings.upload_path / result.image_path).read_bytes() == an_image()
+    assert json.loads((settings.upload_path / result.overlay_path).read_text()) == overlay
+
+    img = await client.get(body["image_url"], headers=auth_headers(measurement_tec_user))
+    assert img.status_code == 200 and img.content == an_image()
+
+
+@pytest.mark.asyncio
+async def test_execute_dxf_compare_out_of_tolerance_fails(
+    client, db_session, measurement_tec_user, monkeypatch,
+):
+    task, subtask = await make_task(db_session, measurement_tec_user)
+    task.vision_json = RECIPE
+    subtask.vision_output = "cmp.points_in_pct"
+    await db_session.commit()
+
+    async def fake_call(image_bytes, graph, **kwargs):
+        return {"outputs": {"cmp.points_in_pct": 99.0}, "failures": [],
+                "engine_version": "e" * 40, "outcome": "OK"}
+    monkeypatch.setattr("src.backend.services.vision_service._call_worker", fake_call)
+    resp = await client.post(
+        "/api/vision/execute", headers=auth_headers(measurement_tec_user),
+        files={"image": ("p.png", an_image(), "image/png")},
+        data={"task_id": str(task.id)},
+    )
+    assert resp.status_code == 200
+    # il verdetto e' delle tolleranze del subtask, non di outcome di VisionSuite
+    assert resp.json()["measurements"][0]["pass_fail"] == "fail"
+    assert resp.json()["overlay"] == []
+
+
+@pytest.mark.asyncio
+async def test_copy_on_write_carries_recipe_dir(client, db_session, maker_user):
+    from src.backend.tests.test_vision_copy_on_write import (
+        _current_task_and_subtask, _seed_measurement,
+    )
+    recipe = await create_test_recipe(db_session, maker_user.id)
+    _, task, _ = await _current_task_and_subtask(db_session, recipe.id)
+    task.task_type = "dxf_compare"
+    task.vision_json = RECIPE
+    task.vision_recipe_dir = "vision/recipes/1/abc"
+    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": "cow"},
+    )
+    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.vision_recipe_dir == "vision/recipes/1/abc" and new_task.vision_json == RECIPE
+
+
+@pytest.mark.asyncio
+async def test_retry_with_missing_file_then_complete_succeeds(
+    client, db_session, maker_user, monkeypatch,
+):
+    # worker finto: ok solo se il DXF esiste nella cartella della ricetta
+    async def fake(graph, recipe_dir):
+        present = (settings.upload_path / recipe_dir / "dxf" / "part.dxf").is_file()
+        return {"ok": present, "errors": [] if present else ["dxf missing"], "outputs": OUTPUTS}
+    monkeypatch.setattr("src.backend.services.vision_service.validate_recipe", fake)
+    task, _ = await make_task(db_session, maker_user)
+
+    first = await upload(client, maker_user, task, files=[])
+    assert first.status_code == 422
+    second = await upload(client, maker_user, task, files=GOOD_FILES)
+    assert second.status_code == 200, second.text

src/backend/tests/test_vision_reference.py

@@ -39,7 +39,7 @@ async def recipe_parts(db_session, recipe_id: int):
 @pytest.fixture
 def worker_says(monkeypatch):
     def _install(outputs: dict):
-        async def fake_call(image_bytes: bytes, graph: dict) -> dict:
+        async def fake_call(image_bytes: bytes, graph: dict, **kwargs) -> dict:
             return {"outputs": outputs, "failures": [],
                     "engine_version": "b" * 40, "duration_ms": 7}
         monkeypatch.setattr(

src/backend/tests/test_vision_upload_limits.py

@@ -69,7 +69,7 @@ async def recipe_parts(db_session, recipe_id: int):
 @pytest.fixture
 def worker_says(monkeypatch):
     def _install(outputs: dict):
-        async def fake_call(image_bytes: bytes, graph: dict) -> dict:
+        async def fake_call(image_bytes: bytes, graph: dict, **kwargs) -> dict:
             return {"outputs": outputs, "failures": [],
                     "engine_version": "c" * 40, "duration_ms": 5}
         monkeypatch.setattr(

src/frontend/flask_app/blueprints/maker.py

@@ -377,6 +377,47 @@ def api_upload_file():
     return jsonify(resp), 201
 
 
+# ============================================================================
+# VISION RECIPE PROXY (#46)
+# ============================================================================
+
+@maker_bp.route("/api/vision/tasks/<int:task_id>/recipe", methods=["GET"])
+@login_required
+@role_required("Maker")
+def api_get_vision_recipe(task_id: int):
+    """Proxy: ricetta visione corrente del task (cartella, file, uscite)."""
+    resp = api_client.get(f"/api/vision/tasks/{task_id}/recipe")
+
+    if resp.get("error"):
+        return jsonify(resp), resp.get("status_code", 500)
+
+    return jsonify(resp), 200
+
+
+@maker_bp.route("/api/vision/tasks/<int:task_id>/recipe", methods=["POST"])
+@login_required
+@role_required("Maker")
+def api_upload_vision_recipe(task_id: int):
+    """Proxy: carica ricetta .json + file allegati (multipart forward)."""
+    recipe = request.files.get("recipe")
+    if recipe is None or recipe.filename == "":
+        return jsonify({"error": True, "detail": _("Nessun file ricetta caricato")}), 400
+
+    # Ricetta + 0..n allegati (DXF, modelli .npz, calibrazione), stesso nome campo `files`
+    files = [("recipe", (recipe.filename, recipe.stream, recipe.content_type))]
+    for f in request.files.getlist("files"):
+        if f.filename:
+            files.append(("files", (f.filename, f.stream, f.content_type)))
+
+    resp = api_client.post(f"/api/vision/tasks/{task_id}/recipe", data={}, files=files)
+
+    # Il 422 (errori di validazione) arriva al browser com'è, con `errors`
+    if resp.get("error"):
+        return jsonify(resp), resp.get("status_code", 500)
+
+    return jsonify(resp), 200
+
+
 @maker_bp.route("/api/files/<path:file_path>", methods=["GET"])
 @login_required
 def api_get_file(file_path: str):

src/frontend/flask_app/blueprints/measure.py

@@ -1,8 +1,10 @@
 """MeasurementTec blueprint - recipe selection and measurement execution."""
 import urllib.parse
 
+import requests as http_requests
+
 from flask import (
-    Blueprint, abort, flash, jsonify, redirect, render_template,
+    Blueprint, Response, abort, flash, jsonify, redirect, render_template,
     request, session, url_for,
 )
 from flask_babel import gettext as _
@@ -820,3 +822,67 @@ def api_close_production(run_id: int):
 def api_get_file(file_path: str):
     """Proxy: Serve file from API server (browser can't send X-API-Key)."""
     return proxy_file(file_path)
+
+
+# ---------------------------------------------------------------------------
+# Route: vision execute (#46) - the browser sends an image, we relay it to
+# POST /api/vision/execute (multipart) because it cannot send X-API-Key itself.
+# ---------------------------------------------------------------------------
+@measure_bp.route("/api/vision/execute", methods=["POST"])
+@login_required
+@role_required("MeasurementTec")
+def api_vision_execute():
+    """Proxy: run the task's VisionSuite recipe on the uploaded image."""
+    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
+
+    # Same context fields as the manual flow; empty ones are left out so the
+    # backend sees them as absent rather than as "".
+    form = {"task_id": task_id}
+    for key in ("task_type", "lot_number", "serial_number", "production_run_id"):
+        val = request.form.get(key)
+        if val:
+            form[key] = val
+    form.setdefault("lot_number", session.get("lot_number", ""))
+    form.setdefault("serial_number", session.get("serial_number", ""))
+
+    resp = api_client.post(
+        "/api/vision/execute",
+        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
+
+
+@measure_bp.route("/api/vision/results/<int:result_id>/image", methods=["GET"])
+@login_required
+@role_required("MeasurementTec")
+def api_vision_result_image(result_id: int):
+    """Proxy: the image saved with a vision result (needs X-API-Key)."""
+    base_url = Config.API_SERVER_URL.rstrip("/")
+    resp = http_requests.get(
+        f"{base_url}/api/vision/results/{result_id}/image",
+        headers={"X-API-Key": session.get("api_key", "")},
+        timeout=30,
+    )
+    if resp.status_code != 200:
+        return Response(resp.text, status=resp.status_code)
+    return Response(
+        resp.content,
+        content_type=resp.headers.get("content-type", "application/octet-stream"),
+    )

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

@@ -0,0 +1,125 @@
+/**
+ * Vision execute - Alpine component for camera_measure / dxf_compare tasks (#46).
+ *
+ * The operator takes (or picks) an image, `acquire(blob)` sends it to the Flask
+ * proxy, and the result - quote table, outcome, failures, overlay - is shown on
+ * the image. `acquire(blob)` is the single entry point on purpose: the agent
+ * camera (#3) will call it with its own blob and reuse everything below.
+ *
+ * Config comes from window.__visionCfg (set by the template):
+ *   executeUrl, imageUrlTpl (with a 0 placeholder for the result id), taskId,
+ *   taskType, subtasks, labels.
+ * Run context (lot, serial, production run) is read lazily through `ctx()`,
+ * which the template binds to the parent task component.
+ */
+function visionExecute() {
+  // Overlay colour per role (VisionSuite roles: reference, roi, found).
+  const ROLE_COLORS = { reference: '#2563eb', found: '#16a34a', roi: '#f59e0b' };
+
+  return {
+    busy: false,
+    error: '',
+    result: null,      // last execute response
+    imageSrc: '',      // object URL of the acquired image (shown under the overlay)
+    ctx: () => ({}),   // replaced by the template: {lot, serial, runId}
+
+    // Entry point shared with the future agent camera.
+    async acquire(blob) {
+      if (!blob || this.busy) return;
+      const cfg = window.__visionCfg || {};
+      this.busy = true;
+      this.error = '';
+      this.result = null;
+      // Show the picked image at once: the overlay is drawn on top when the result arrives.
+      if (this.imageSrc) URL.revokeObjectURL(this.imageSrc);
+      this.imageSrc = URL.createObjectURL(blob);
+      try {
+        const c = this.ctx() || {};
+        const fd = new FormData();
+        fd.append('task_id', cfg.taskId);
+        fd.append('task_type', cfg.taskType || '');
+        fd.append('image', blob, blob.name || 'capture.jpg');
+        fd.append('lot_number', c.lot || '');
+        fd.append('serial_number', c.serial || '');
+        if (c.runId) fd.append('production_run_id', c.runId);
+        const csrf = document.querySelector('meta[name=csrf-token]')?.content || '';
+        const resp = await fetch(cfg.executeUrl, {
+          method: 'POST', headers: { 'X-CSRFToken': csrf }, body: fd,
+        });
+        const body = await resp.json().catch(() => ({}));
+        if (!resp.ok || body.error) {
+          this.error = body.detail || (cfg.labels && cfg.labels.requestFailed) || 'Error';
+          return;
+        }
+        this.result = body;
+        // Draw once Alpine has rendered the canvas.
+        this.$nextTick(() => this.drawOverlay());
+      } catch (e) {
+        this.error = (cfg.labels && cfg.labels.requestFailed) || 'Error';
+      } finally {
+        this.busy = false;
+      }
+    },
+
+    // Input change: take the file and allow picking the same one again.
+    onPick(ev) {
+      const f = ev.target.files && ev.target.files[0];
+      ev.target.value = '';
+      if (f) this.acquire(f);
+    },
+
+    // Image shown: the saved one from the server when available, else the local one.
+    get shownImage() {
+      const cfg = window.__visionCfg || {};
+      if (this.result && this.result.vision_result_id && cfg.imageUrlTpl) {
+        return cfg.imageUrlTpl.replace('/0/', '/' + this.result.vision_result_id + '/');
+      }
+      return this.imageSrc;
+    },
+
+    // Quote rows: server measurements joined with the subtask names.
+    get rows() {
+      const cfg = window.__visionCfg || {};
+      const subs = cfg.subtasks || [];
+      return ((this.result && this.result.measurements) || []).map((m) => {
+        const st = subs.find((s) => s.id === m.subtask_id) || {};
+        return {
+          label: (st.marker_number ? st.marker_number + '. ' : '') + (st.measurement_type || st.name || '#' + m.subtask_id),
+          value: m.value,
+          unit: st.unit || 'mm',
+          status: m.pass_fail,
+        };
+      });
+    },
+
+    statusClass(s) {
+      // Same palette as the measurement markers of the manual flow.
+      if (s === 'pass') return 'bg-measure-pass/20 text-measure-pass border border-measure-pass/40';
+      if (s === 'fail') return 'bg-red-100 dark:bg-red-900/30 text-measure-fail border border-measure-fail/40';
+      if (s === 'warning') return 'bg-amber-100 dark:bg-amber-900/30 text-measure-warning border border-measure-warning/40';
+      return 'bg-[var(--bg-secondary)] text-[var(--text-muted)] border border-[var(--border-color)]';
+    },
+
+    // Canvas is sized to the natural image, so overlay coordinates (image px)
+    // are used as they are and CSS scales the whole thing to the displayed size.
+    drawOverlay() {
+      const img = this.$refs.img, cv = this.$refs.overlay;
+      if (!img || !cv || !img.naturalWidth) return;
+      cv.width = img.naturalWidth;
+      cv.height = img.naturalHeight;
+      const g = cv.getContext('2d');
+      g.clearRect(0, 0, cv.width, cv.height);
+      g.lineWidth = Math.max(2, cv.width / 400);
+      g.lineJoin = 'round';
+      for (const item of ((this.result && this.result.overlay) || [])) {
+        const rows = item.rows || [], cols = item.cols || [];
+        if (!rows.length || rows.length !== cols.length) continue;
+        g.strokeStyle = ROLE_COLORS[item.role] || '#ef4444';
+        g.beginPath();
+        g.moveTo(cols[0], rows[0]);
+        for (let i = 1; i < rows.length; i++) g.lineTo(cols[i], rows[i]);
+        g.stroke();
+      }
+    },
+  };
+}

src/frontend/flask_app/static/js/vision_recipe.js

@@ -0,0 +1,80 @@
+// Ricetta visione del Maker (#46): componente Alpine per i task camera_measure / dxf_compare.
+// Carica la ricetta VisionSuite v2 + i file allegati verso /maker/api/vision/tasks/<id>/recipe,
+// mostra cartella, file e uscite numeriche; notifica le uscite al task editor con un evento.
+// Uso: x-data="visionRecipe(task.id, csrfToken, msgs)". Dipende da Alpine.js.
+function visionRecipe(taskId, csrf, msgs) {
+  return {
+    taskId: taskId,
+    recipeDir: null,
+    files: [],
+    outputs: [],
+    errors: [],       // errori 422 elencati in chiaro
+    loading: false,
+    busy: false,
+    recipeFile: null,
+    attachments: [],
+    msgs: msgs || {},
+
+    async init() {
+      // All'apertura: ricetta corrente (GET); il 404/errore non blocca l'editor
+      this.loading = true;
+      try {
+        const resp = await fetch(`/maker/api/vision/tasks/${this.taskId}/recipe`);
+        if (resp.ok) this._apply(await resp.json());
+      } catch (e) { console.error('visionRecipe init', e); }
+      this.loading = false;
+    },
+
+    // Aggiorna lo stato e avvisa il task editor (select vision_output delle quote)
+    _apply(data) {
+      this.recipeDir = data.recipe_dir || null;
+      this.files = data.files || [];
+      this.outputs = data.outputs || [];
+      window.dispatchEvent(new CustomEvent('vision-outputs', {
+        detail: { taskId: this.taskId, outputs: this.outputs }
+      }));
+    },
+
+    // Il 422 porta `errors` (lista) oppure `detail` (stringa o lista di voci)
+    _errorsFrom(data) {
+      if (Array.isArray(data.errors) && data.errors.length) return data.errors.map(String);
+      const d = data.detail;
+      if (Array.isArray(d)) return d.map(x => (typeof x === 'string' ? x : (x.msg || JSON.stringify(x))));
+      if (d && typeof d === 'object') {
+        if (Array.isArray(d.errors)) return d.errors.map(String);
+        return [JSON.stringify(d)];
+      }
+      return [d || this.msgs.genericError || 'Error'];
+    },
+
+    async upload() {
+      if (!this.recipeFile) return;
+      this.busy = true;
+      this.errors = [];
+      try {
+        const fd = new FormData();
+        fd.append('recipe', this.recipeFile);
+        for (const f of this.attachments) fd.append('files', f);
+        const resp = await fetch(`/maker/api/vision/tasks/${this.taskId}/recipe`, {
+          method: 'POST',
+          headers: { 'X-CSRFToken': typeof csrf === 'function' ? csrf() : csrf },
+          body: fd
+        });
+        const data = await resp.json();
+        if (!resp.ok || data.error) {
+          this.errors = this._errorsFrom(data);
+        } else {
+          this._apply(data);
+          this.recipeFile = null;
+          this.attachments = [];
+        }
+      } catch (e) {
+        this.errors = [this.msgs.genericError || String(e)];
+      }
+      this.busy = false;
+    },
+
+    onRecipe(ev) { this.recipeFile = ev.target.files[0] || null; },
+    onAttachments(ev) { this.attachments = Array.from(ev.target.files || []); }
+  };
+}

src/frontend/flask_app/templates/maker/task_editor.html

@@ -277,6 +277,8 @@
             <option value="note">{{ _('Nota') }}</option>
             <option value="measure">{{ _('Misura') }}</option>
             <option value="drawing">{{ _('Disegno') }}</option>
+            <option value="camera_measure">{{ _('Misura camera') }}</option>
+            <option value="dxf_compare">{{ _('Confronto profilo') }}</option>
           </select>
           <p class="mt-1 text-xs text-[var(--text-secondary)]">
             {{ _('Un task di misura resta tale anche prima di inserire le quote') }}
@@ -460,6 +462,55 @@
 
           <div class="tmf-card-body space-y-4">
 
+            <!-- ========== Ricetta visione (#46): solo camera_measure / dxf_compare ========== -->
+            <template x-if="task.task_type === 'camera_measure' || task.task_type === 'dxf_compare'">
+              <div class="p-3 rounded-lg bg-[var(--bg-secondary)] border border-[var(--border-color)]"
+                   x-data="visionRecipe(task.id, () => csrfToken(), {{ {'genericError': _('Errore durante il caricamento della ricetta')}|tojson_attr }})">
+                <p class="text-xs font-semibold text-[var(--text-secondary)] uppercase tracking-wide mb-2">
+                  {{ _('Ricetta visione') }}
+                </p>
+                <!-- Stato corrente: cartella, file, uscite -->
+                <template x-if="recipeDir">
+                  <div class="text-xs space-y-1 mb-3">
+                    <p><span class="text-[var(--text-secondary)]">{{ _('Cartella') }}:</span>
+                       <span class="font-mono" x-text="recipeDir"></span></p>
+                    <p x-show="files.length"><span class="text-[var(--text-secondary)]">{{ _('File') }}:</span>
+                       <span class="font-mono" x-text="files.join(', ')"></span></p>
+                    <p x-show="outputs.length"><span class="text-[var(--text-secondary)]">{{ _('Uscite numeriche') }}:</span></p>
+                    <ul class="list-disc pl-5" x-show="outputs.length">
+                      <template x-for="o in outputs" :key="o.key">
+                        <li><span class="font-mono" x-text="o.key"></span>
+                            <span class="text-[var(--text-muted)]" x-text="(o.quantity || o.unit) ? '(' + [o.quantity, o.unit].filter(Boolean).join(', ') + ')' : ''"></span></li>
+                      </template>
+                    </ul>
+                  </div>
+                </template>
+                <p x-show="!recipeDir && !loading" class="text-xs text-[var(--text-muted)] mb-3">
+                  {{ _('Nessuna ricetta caricata') }}
+                </p>
+                <!-- Caricamento: ricetta .json + allegati -->
+                <div class="grid grid-cols-1 sm:grid-cols-2 gap-3">
+                  <div>
+                    <label class="tmf-label text-xs">{{ _('Ricetta (.json)') }}</label>
+                    <input type="file" accept=".json,application/json" class="tmf-input text-xs"
+                           @change="onRecipe($event)">
+                  </div>
+                  <div>
+                    <label class="tmf-label text-xs">{{ _('File allegati (DXF, modelli, calibrazione)') }}</label>
+                    <input type="file" multiple class="tmf-input text-xs" @change="onAttachments($event)">
+                  </div>
+                </div>
+                <div class="flex justify-end mt-3">
+                  <button type="button" class="btn btn-primary text-xs" @click="upload()"
+                          :disabled="!recipeFile || busy">{{ _('Carica ricetta') }}</button>
+                </div>
+                <!-- Errori 422 in chiaro -->
+                <ul x-show="errors.length" class="mt-3 text-xs text-red-500 list-disc pl-5">
+                  <template x-for="(e, i) in errors" :key="i"><li x-text="e"></li></template>
+                </ul>
+              </div>
+            </template>
+
             <!-- ========== Task File Upload / Preview ========== -->
             <div class="p-3 rounded-lg bg-[var(--bg-secondary)] border border-[var(--border-color)]">
               <p class="text-xs font-semibold text-[var(--text-secondary)] uppercase tracking-wide mb-2">
@@ -543,6 +594,8 @@
                     <option value="note">{{ _('Nota') }}</option>
                     <option value="measure">{{ _('Misura') }}</option>
                     <option value="drawing">{{ _('Disegno') }}</option>
+                    <option value="camera_measure">{{ _('Misura camera') }}</option>
+                    <option value="dxf_compare">{{ _('Confronto profilo') }}</option>
                   </select>
                 </div>
                 <div>
@@ -699,6 +752,18 @@
                          class="tmf-input"
                          placeholder="{{ _('Es. Diametro foro principale') }}">
                 </div>
+                <!-- Uscita visione (#46): solo task camera_measure / dxf_compare -->
+                <div class="col-span-2 sm:col-span-3 lg:col-span-2"
+                     x-show="task.task_type === 'camera_measure' || task.task_type === 'dxf_compare'">
+                  <label class="tmf-label text-xs">{{ _('Uscita visione') }}</label>
+                  <select x-model="newSubtask.vision_output" class="tmf-input">
+                    <option value="">{{ _('Nessuna') }}</option>
+                    <template x-for="o in (visionOutputs[task.id] || [])" :key="o.key">
+                      <option :value="o.key" :selected="o.key === newSubtask.vision_output"
+                              x-text="o.key + ((o.quantity || o.unit) ? ' (' + [o.quantity, o.unit].filter(Boolean).join(', ') + ')' : '')"></option>
+                    </template>
+                  </select>
+                </div>
                 <!-- Measurement Type -->
                 <div>
                   <label class="tmf-label text-xs">{{ _('Tipo') }}</label>
@@ -1093,6 +1158,7 @@
 {% block extra_js %}
 {# Bold and line breaks in descriptions: the same rules the server renders with. #}
 <script src="{{ url_for('static', filename='js/rich-text.js') }}"></script>
+<script src="{{ url_for('static', filename='js/vision_recipe.js') }}"></script>
 <script src="{{ url_for('static', filename='vendor/pdf-3.11.174.min.js') }}"></script>
 <script>if(typeof pdfjsLib!=='undefined')pdfjsLib.GlobalWorkerOptions.workerSrc='{{ url_for('static', filename='vendor/pdf.worker-3.11.174.min.js') }}';</script>
 <script src="{{ url_for('static', filename='js/annotation-viewer.js') }}?v=6"></script>
@@ -1129,8 +1195,11 @@ function taskEditor() {
     addingSubtaskForTask: null,
     newSubtask: {
       marker_number: 1, description: '', measurement_type: '',
-      nominal: null, utl: null, uwl: null, lwl: null, ltl: null, unit: 'mm'
+      nominal: null, utl: null, uwl: null, lwl: null, ltl: null, unit: 'mm',
+      vision_output: ''
     },
+    // Uscite numeriche della ricetta visione per task (#46), riempite da vision_recipe.js
+    visionOutputs: {},
 
     // ---- Delete modals ----
     deleteTaskModal: false,
@@ -1153,6 +1222,10 @@ function taskEditor() {
     // Init
     // ============================================================
     init() {
+      // Uscite della ricetta visione: evento dal componente visionRecipe (#46)
+      window.addEventListener('vision-outputs', (ev) => {
+        this.visionOutputs = { ...this.visionOutputs, [ev.detail.taskId]: ev.detail.outputs || [] };
+      });
       // Sort tasks by order_index on load
       this.tasks.sort((a, b) => (a.order_index || 0) - (b.order_index || 0));
 
@@ -1610,7 +1683,8 @@ function taskEditor() {
         uwl: null,
         lwl: null,
         ltl: null,
-        unit: 'mm'
+        unit: 'mm',
+        vision_output: ''
       };
     },
 
@@ -1634,7 +1708,8 @@ function taskEditor() {
         uwl: this.newSubtask.uwl,
         lwl: this.newSubtask.lwl,
         ltl: this.newSubtask.ltl,
-        unit: this.newSubtask.unit || 'mm'
+        unit: this.newSubtask.unit || 'mm',
+        vision_output: this.newSubtask.vision_output || null  // chiave uscita ricetta visione (#46)
       };
 
       try {
@@ -1687,7 +1762,8 @@ function taskEditor() {
         uwl: subtask.uwl,
         lwl: subtask.lwl,
         ltl: subtask.ltl,
-        unit: subtask.unit || 'mm'
+        unit: subtask.unit || 'mm',
+        vision_output: subtask.vision_output || ''
       };
     },
 
@@ -1711,7 +1787,8 @@ function taskEditor() {
         uwl: this.newSubtask.uwl,
         lwl: this.newSubtask.lwl,
         ltl: this.newSubtask.ltl,
-        unit: this.newSubtask.unit || 'mm'
+        unit: this.newSubtask.unit || 'mm',
+        vision_output: this.newSubtask.vision_output || null  // chiave uscita ricetta visione (#46)
       };
 
       try {

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

@@ -191,7 +191,8 @@
   {# ================================================================
      MAIN — 3-column layout
      ================================================================ #}
-  <div class="flex-1 flex overflow-hidden">
+  {# #46: camera_measure / dxf_compare get the acquisition panel below instead of the manual layout #}
+  <div class="flex-1 flex overflow-hidden" x-show="!isVisionTask">
 
     {# ──────────────────────────────────────────────
        LEFT SIDEBAR — Marker list (vertical, hidden when no subtasks)
@@ -451,6 +452,63 @@
 
   </div>
 
+  {# ================================================================
+     VISION PANEL (#46) - acquire an image, run the recipe server-side, show the
+     quotes and the overlay. acquire(blob) is the entry point the agent camera
+     (#3) will reuse.
+     ================================================================ #}
+  <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">
+
+    <div class="flex-1 min-w-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' : ''">
+          <span x-text="result ? '{{ _('Riprova') }}' : '{{ _('Acquisisci immagine') }}'"></span>
+          <input type="file" accept="image/*" capture="environment" class="hidden"
+                 @change="onPick($event)" :disabled="busy">
+        </label>
+        <span x-show="busy" class="text-sm text-[var(--text-muted)]">{{ _('Elaborazione in corso...') }}</span>
+      </div>
+
+      <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>
+      </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">
+      <div class="text-sm font-bold text-[var(--text-primary)]">
+        {{ _('Esito') }}: <span x-text="(result && result.outcome) || '-'"></span>
+      </div>
+
+      <table class="w-full text-sm" x-show="rows.length">
+        <template x-for="r in rows" :key="r.label">
+          <tr>
+            <td class="py-1 pr-2 text-[var(--text-secondary)]" x-text="r.label"></td>
+            <td class="py-1 pr-2 font-mono text-right" x-text="Number(r.value).toFixed(3) + ' ' + r.unit"></td>
+            <td class="py-1"><span class="inline-block px-2 py-0.5 rounded text-xs font-bold" :class="statusClass(r.status)" x-text="r.status"></span></td>
+          </tr>
+        </template>
+      </table>
+
+      <div x-show="result && result.failures && result.failures.length"
+           class="p-2 rounded-lg bg-amber-50 dark:bg-amber-900/20 border border-amber-300 dark:border-amber-700 text-xs">
+        <div class="font-bold mb-1">{{ _('Strumenti falliti') }}</div>
+        <template x-for="f in ((result && result.failures) || [])" :key="f.tool_id">
+          <div><span class="font-mono" x-text="f.tool_name || f.tool_id"></span>: <span x-text="f.error"></span></div>
+        </template>
+      </div>
+    </div>
+  </div>
+
   {# ================================================================
      MEASUREMENT TIMER BANNER
      ================================================================ #}
@@ -912,6 +970,18 @@
 <script src="{{ url_for('static', filename='js/numpad.js') }}"></script>
 <script src="{{ url_for('static', filename='js/annotation-viewer.js') }}?v=6"></script>
 <script src="{{ url_for('static', filename='js/caliper.js') }}"></script>
+{# #46: acquisition + overlay for camera_measure / dxf_compare #}
+<script>
+  window.__visionCfg = {
+    executeUrl: '{{ url_for("measure.api_vision_execute") }}',
+    imageUrlTpl: '{{ url_for("measure.api_vision_result_image", result_id=0) }}',
+    taskId: {{ task.id|tojson }},
+    taskType: {{ (task.task_type or '')|tojson }},
+    subtasks: window.__taskSubtasks,
+    labels: { requestFailed: {{ _('Richiesta non riuscita')|tojson }} },
+  };
+</script>
+<script src="{{ url_for('static', filename='js/vision_execute.js') }}"></script>
 {# The clock's rules - how a delay reads, when the buzzer goes, where the
    measurement lives - are shared with the other screens rather than restated. #}
 <script src="{{ url_for('static', filename='js/production-clock.js') }}"></script>
@@ -1776,6 +1846,12 @@ function taskExecute() {
       return declared === 'measure' || declared === 'camera_measure';
     },
 
+    /* #46: image-based tasks run a VisionSuite recipe on the server. */
+    get isVisionTask() {
+      const t = this.task.task_type;
+      return t === 'camera_measure' || t === 'dxf_compare';
+    },
+
     /* A measurement task with no quotes yet: the recipe is unfinished. Said out
        loud rather than silently rendering an empty screen. */
     get isMeasureTaskWithoutQuotes() {

src/frontend/flask_app/tests/test_maker.py

@@ -161,3 +161,82 @@ class TestVersionConflictProxy:
 
         assert resp.status_code == 409
         assert resp.get_json()["detail"] == self._CONFLICT["detail"]
+
+
+class TestVisionRecipeProxy:
+    """Proxy ricetta visione (#46): /maker/api/vision/tasks/<id>/recipe."""
+
+    def test_upload_forwards_recipe_and_files(self, logged_in_client, mock_api_client):
+        import io
+
+        mock_api_client.post.return_value = {
+            "task_id": 7, "recipe_dir": "vision/recipes/7/abc", "files": ["a.dxf"],
+            "outputs": [{"key": "n1.points_in_pct", "quantity": None, "unit": None}],
+        }
+
+        resp = logged_in_client.post(
+            "/maker/api/vision/tasks/7/recipe",
+            data={
+                "recipe": (io.BytesIO(b"{}"), "r.json"),
+                "files": [(io.BytesIO(b"dxf"), "a.dxf"), (io.BytesIO(b"npz"), "m.npz")],
+            },
+            content_type="multipart/form-data",
+        )
+
+        assert resp.status_code == 200
+        assert resp.get_json()["outputs"][0]["key"] == "n1.points_in_pct"
+        endpoint = mock_api_client.post.call_args.args[0]
+        sent = mock_api_client.post.call_args.kwargs["files"]
+        assert endpoint == "/api/vision/tasks/7/recipe"
+        # un campo `recipe` e un campo `files` per ogni allegato
+        assert [name for name, _f in sent] == ["recipe", "files", "files"]
+
+    def test_upload_without_recipe_is_400(self, logged_in_client, mock_api_client):
+        resp = logged_in_client.post(
+            "/maker/api/vision/tasks/7/recipe", data={}, content_type="multipart/form-data"
+        )
+        assert resp.status_code == 400
+        mock_api_client.post.assert_not_called()
+
+    def test_upload_proxies_422(self, logged_in_client, mock_api_client):
+        import io
+
+        mock_api_client.post.return_value = {
+            "error": True, "status_code": 422, "detail": "file mancante: a.dxf",
+        }
+        resp = logged_in_client.post(
+            "/maker/api/vision/tasks/7/recipe",
+            data={"recipe": (io.BytesIO(b"{}"), "r.json")},
+            content_type="multipart/form-data",
+        )
+        assert resp.status_code == 422
+        assert "a.dxf" in resp.get_json()["detail"]
+
+    def test_get_recipe_proxies(self, logged_in_client, mock_api_client):
+        mock_api_client.get.return_value = {
+            "task_id": 7, "recipe_dir": None, "recipe": None, "files": [], "outputs": [],
+        }
+        resp = logged_in_client.get("/maker/api/vision/tasks/7/recipe")
+        assert resp.status_code == 200
+        mock_api_client.get.assert_called_once_with("/api/vision/tasks/7/recipe")
+
+
+class TestTaskEditorVisionUi:
+    """task_editor.html espone i tipi visione e la select vision_output (#46)."""
+
+    def test_editor_has_vision_types_and_section(self, logged_in_client, mock_api_client):
+        from tests.conftest import api_get_router
+
+        mock_api_client.get.side_effect = api_get_router({
+            "/api/recipes/3": {"id": 3, "code": "R", "name": "R"},
+            "/api/recipes/3/tasks": [{
+                "id": 11, "title": "T", "task_type": "dxf_compare", "subtasks": [],
+                "file_path": None, "order_index": 1,
+            }],
+        })
+        html = logged_in_client.get("/maker/recipes/3/tasks").get_data(as_text=True)
+        assert 'value="camera_measure"' in html
+        assert 'value="dxf_compare"' in html
+        assert "visionRecipe(" in html
+        assert "vision_output" in html
+        assert "js/vision_recipe.js" in html

src/frontend/flask_app/tests/test_measure_vision.py

@@ -0,0 +1,86 @@
+"""gitea:Adriano/TieMeasureFlow#46 - operator side of the vision tasks.
+
+The backend of contract B is not merged yet: api_client is mocked.
+"""
+import io
+from unittest.mock import MagicMock, patch
+
+from tests.conftest import api_get_router
+
+TASK = {
+    "id": 12, "recipe_id": 3, "version_id": 5, "task_type": "camera_measure",
+    "title": "Foto", "directive": None, "description": None, "file_path": None,
+    "file_type": None, "annotations_json": None, "subtasks": [],
+}
+RECIPE = {
+    "id": 3, "code": "REC-1", "name": "Ricetta",
+    "measurement_interval_minutes": 30, "allow_manual_input": True,
+    "current_version": {"id": 5, "version_number": 1},
+}
+
+
+def test_execute_page_has_acquire_input(logged_in_client, mock_api_client, monkeypatch):
+    """camera_measure screen offers the file/camera input and the acquire entry point."""
+    monkeypatch.setattr("blueprints.measure.Config.STATION_CODE", "ST-TEST")
+    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,
+    })
+    html = logged_in_client.get("/measure/execute/12").get_data(as_text=True)
+    assert 'capture="environment"' in html
+    assert 'accept="image/*"' in html
+    assert "visionExecute()" in html
+    assert "/measure/api/vision/execute" in html
+
+
+def test_vision_execute_proxy_forwards_multipart(logged_in_client, mock_api_client):
+    mock_api_client.post.return_value = {
+        "vision_result_id": 7, "outcome": "ok", "overlay": [], "failures": [],
+        "measurements": [{"subtask_id": 1, "value": 9.9, "pass_fail": "pass"}],
+    }
+    resp = logged_in_client.post(
+        "/measure/api/vision/execute",
+        data={
+            "task_id": "12", "lot_number": "L1", "serial_number": "S1",
+            "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()["vision_result_id"] == 7
+    args, kwargs = mock_api_client.post.call_args
+    assert args[0] == "/api/vision/execute"
+    assert kwargs["data"]["task_id"] == "12"
+    assert kwargs["data"]["lot_number"] == "L1"
+    assert kwargs["data"]["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_vision_execute_proxy_requires_image(logged_in_client, mock_api_client):
+    resp = logged_in_client.post("/measure/api/vision/execute", data={"task_id": "12"})
+    assert resp.status_code == 400
+    mock_api_client.post.assert_not_called()
+
+
+def test_vision_execute_proxy_relays_backend_error(logged_in_client, mock_api_client):
+    mock_api_client.post.return_value = {"error": True, "status_code": 422, "detail": "bad"}
+    resp = logged_in_client.post(
+        "/measure/api/vision/execute",
+        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"] == "bad"
+
+
+def test_vision_result_image_proxy(logged_in_client):
+    fake = MagicMock(status_code=200, content=b"IMG", headers={"content-type": "image/jpeg"})
+    with patch("blueprints.measure.http_requests.get", return_value=fake) as g:
+        resp = logged_in_client.get("/measure/api/vision/results/7/image")
+    assert resp.status_code == 200 and resp.data == b"IMG"
+    assert g.call_args[0][0].endswith("/api/vision/results/7/image")
+    assert g.call_args[1]["headers"]["X-API-Key"] == "test-api-key-12345"