operatore: immagine gia' analizzata all'ingresso, analisi impulsiva o in linea, Registra (Refs #97)

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

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,