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

Worker: recipe_dir con lettera di unita rifiutato su ogni OS (#46 )
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-07 12:32:47 +02:00 · 2026-10-07 12:32:34 +02:00 · 2026-10-07 12:27:16 +02:00 · 2026-10-07 12:27:16 +02:00 · 2026-10-07 12:27:15 +02:00 · 2026-10-07 12:27:15 +02:00
18 changed files with 1257 additions and 89 deletions
@@ -92,6 +92,8 @@ SESSION_COOKIE_SECURE=true
 VISION_RUN_TIMEOUT_S=100
 # Quante esecuzioni di visione in parallelo accetta il worker.
 VISION_MAX_CONCURRENCY=2
+# #46: radice sotto cui il worker legge le cartelle ricetta (recipe_dir relativo).
+VISION_RECIPES_ROOT=/app/uploads

 # --- Docker ---
 # DB_ROOT_PASSWORD: in produzione (docker-compose.yml) obbligatoria, senza default.
@@ -289,6 +289,8 @@ Nginx (dev): gzip abilitato, `client_max_body_size 50M`, `proxy_read_timeout 120

 Il runner di visione (`src/vision/`) e il suo worker FastAPI (`src/vision_worker/`) dipendono da `vendor/visionsuite`, un **submodule** su `ssh://git.tielogic.xyz:222`: un `git clone` senza `--recurse-submodules` lascia la cartella vuota (chi ha già clonato: `git submodule update --init`). Le librerie di VisionSuite richiedono **Python 3.13**, mentre backend e frontend restano su Python 3.11 — è un albero a parte nel monorepo, isolato con il proprio extra `uv`.

+Regola (Adriano, 07/10/2026): il submodule `vendor/visionsuite` segue `origin/main`: a ogni integrazione si porta all'ultimo commit (`git -C vendor/visionsuite fetch origin && git -C vendor/visionsuite checkout origin/main`) e si rilanciano i test della visione. Pin attuale: bc0df16.
+
 Il worker gira in un container separato (`Dockerfile.vision`), non pubblica porte verso l'esterno ed è raggiungibile solo dal server all'indirizzo interno `http://vision:8100`. Il container non ha accesso al repository Git del progetto principale, quindi il commit di VisionSuite in uso (`engine_version`) non può essere scoperto dentro l'immagine: va stampato al momento del build leggendo il commit dalla macchina che esegue `docker compose build`, con la variabile `VISION_ENGINE_VERSION`. Una build senza questa variabile fallisce subito, invece di produrre un worker che risponde con una versione indovinata:

 ```bash
@@ -71,6 +71,9 @@ services:
        VISION_ENGINE_VERSION: ${VISION_ENGINE_VERSION:-}
    container_name: tmflow-vision
    restart: unless-stopped
+    environment:
+      # #46: radice delle cartelle ricetta (volume uploads, sola lettura)
+      VISION_RECIPES_ROOT: /app/uploads
    volumes:
      - upload_data:/app/uploads:ro
    healthcheck:
@@ -63,6 +63,8 @@ vision = [
    "vs-task; python_version>='3.13'",
    "vs-measure; python_version>='3.13'",
    "vs-pm2d; python_version>='3.13'",
+    # #46: tutti gli strumenti della suite (locate/MatchPattern e dxf/CompareDxf)
+    "vs-tools[locate,dxf]; python_version>='3.13'",
    "numpy; python_version>='3.13'",
 ]

@@ -101,6 +103,8 @@ visionsuite = { path = "vendor/visionsuite/packages/vs-core", editable = true }
 vs-task     = { path = "vendor/visionsuite/packages/vs-task", editable = true }
 vs-measure  = { path = "vendor/visionsuite/packages/vs-measure", editable = true }
 vs-pm2d     = { path = "vendor/visionsuite/packages/vs-pm2d", editable = true }
+vs-tools    = { path = "vendor/visionsuite/packages/vs-tools", editable = true }  # #46
+vs-dxf      = { path = "vendor/visionsuite/packages/vs-dxf", editable = true }  # #46

 [tool.pytest.ini_options]
 asyncio_mode = "auto"
@@ -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):
@@ -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"),
+    )
@@ -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.$refs.overlay;
+      if (!img || !cv || !img.naturalWidth) return;
+      cv.width = img.naturalWidth;
+      cv.height = img.naturalHeight;
+      const g = cv.getContext('2d');
+      g.clearRect(0, 0, cv.width, cv.height);
+      g.lineWidth = Math.max(2, cv.width / 400);
+      g.lineJoin = 'round';
+      for (const item of ((this.result && this.result.overlay) || [])) {
+        const rows = item.rows || [], cols = item.cols || [];
+        if (!rows.length || rows.length !== cols.length) continue;
+        g.strokeStyle = ROLE_COLORS[item.role] || '#ef4444';
+        g.beginPath();
+        g.moveTo(cols[0], rows[0]);
+        for (let i = 1; i < rows.length; i++) g.lineTo(cols[i], rows[i]);
+        g.stroke();
+      }
+    },
+  };
+}
@@ -0,0 +1,80 @@
+// Ricetta visione del Maker (#46): componente Alpine per i task camera_measure / dxf_compare.
+// Carica la ricetta VisionSuite v2 + i file allegati verso /maker/api/vision/tasks/<id>/recipe,
+// mostra cartella, file e uscite numeriche; notifica le uscite al task editor con un evento.
+// Uso: x-data="visionRecipe(task.id, csrfToken, msgs)". Dipende da Alpine.js.
+function visionRecipe(taskId, csrf, msgs) {
+  return {
+    taskId: taskId,
+    recipeDir: null,
+    files: [],
+    outputs: [],
+    errors: [],       // errori 422 elencati in chiaro
+    loading: false,
+    busy: false,
+    recipeFile: null,
+    attachments: [],
+    msgs: msgs || {},
+
+    async init() {
+      // All'apertura: ricetta corrente (GET); il 404/errore non blocca l'editor
+      this.loading = true;
+      try {
+        const resp = await fetch(`/maker/api/vision/tasks/${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 || []); }
+  };
+}
@@ -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 {
@@ -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() {
@@ -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
@@ -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"
@@ -9,6 +9,7 @@ from __future__ import annotations
 import math
 import os
 import subprocess
+import tempfile
 import time
 from dataclasses import dataclass, field
 from functools import lru_cache
@@ -18,6 +19,9 @@ from typing import Any
 import numpy as np
 from visionsuite.core.image import Image
 from visionsuite.task import Task
+from visionsuite.task.graph import RecipeError  # #46: errori di ricetta v2
+from visionsuite.task.registry import load_tools
+from visionsuite.task.session import Session

 _SUBMODULE = Path(__file__).resolve().parents[2] / "vendor" / "visionsuite"

@@ -49,6 +53,10 @@ class RunOutcome:
    # Kept apart from `failures`: the tool did not raise, it just produced a
    # number the caller must not measure a part by. Value is the reason.
    invalid_outputs: dict[str, str] = field(default_factory=dict)
+    # #46: contorni di tutti gli strumenti (px immagine, con tool_id) e esito
+    # del TaskReport (informativo: il verdetto quote lo dà il backend).
+    overlay: list[dict] = field(default_factory=list)
+    outcome: str | None = None


@lru_cache(maxsize=1)
@@ -97,12 +105,46 @@ def engine_version() -> str:
    return _engine_version_from_git()


+def _scale_calibration(calibration: dict | None):
+    """Dict {"mm_per_px"|"px_per_mm"} -> ScaleCalibration (gli strumenti di
+    quota convertono con `in_millimetres`, che non accetta un dict)."""
+    if calibration is None:
+        return None
+    from visionsuite.calibration import ScaleCalibration
+
+    if not isinstance(calibration, dict) or not (
+        calibration.get("mm_per_px") or calibration.get("px_per_mm")
+    ):
+        raise GraphBuildError(
+            "calibration must be {'mm_per_px': float} or {'px_per_mm': float}"
+        )
+    key = "mm_per_px" if calibration.get("mm_per_px") else "px_per_mm"
+    return ScaleCalibration(**{key: float(calibration[key])})
+
+
+def _open_session(graph: dict, recipe_dir: Any, calibration: dict | None,
+                  workdir: str) -> Session:
+    """Costruisce la Session v2; RecipeError e grafo malformato -> GraphBuildError."""
+    cal = _scale_calibration(calibration)
+    try:
+        return Session.from_dict(
+            graph, Path(recipe_dir) if recipe_dir else Path(workdir), cal,
+        )
+    except RecipeError as exc:
+        raise GraphBuildError(f"malformed graph: {exc}") from exc
+    except (KeyError, TypeError, AttributeError, ValueError) as exc:
+        raise GraphBuildError(
+            f"malformed graph: {type(exc).__name__}: {exc}"
+        ) from exc
+
+
 def run_graph(
    image: Any,
    graph: dict,
    calibration: dict | None = None,
+    recipe_dir: Any = None,
 ) -> RunOutcome:
-    """Run a serialised vs-task graph against one image.
+    """Run a serialised vs-task v2 graph against one image.

    A tool that fails does not stop the others - on a crooked piece an edge may
    simply not be there, and the other quotes are still wanted. Failures come
@@ -112,33 +154,35 @@ def run_graph(
    wrapped into the `visionsuite.core.image.Image` that vs-measure's tools
    actually read via `.pixels`; an `Image` passed in is used as-is.

-    Two phases, on purpose: building the task from `graph` can fail on
-    nothing but the caller's input (a bad schema version, a tool with no
-    "kind", a graph that is not a dict at all) - that is `GraphBuildError`,
-    a 422 for the worker. Once the task exists, `task.run()` is the engine's
-    own business; an exception from there is not the caller's mistake, and
-    the worker must not call it one.
+    `recipe_dir` is the folder of the recipe's files (meta.dxf, meta.models,
+    ...); without it an empty temporary folder is used, so a recipe that needs
+    a file fails as a malformed graph instead of reading from the CWD.
+
+    Two phases, on purpose: building the session can fail on nothing but the
+    caller's input (a bad schema version, a tool with no "kind", a missing
+    file) - that is `GraphBuildError`, a 422 for the worker. Once it exists,
+    running is the engine's own business; an exception from there is not the
+    caller's mistake, and the worker must not call it one.
    """
-    try:
-        task = Task.from_dict(graph)
-    except (KeyError, TypeError, AttributeError, ValueError) as exc:
-        raise GraphBuildError(
-            f"malformed graph: {type(exc).__name__}: {exc}"
-        ) from exc
-
-    wrapped_image = image if isinstance(image, Image) else Image(pixels=np.asarray(image))
-    context: dict[str, Any] = {"image": wrapped_image}
-    if calibration is not None:
-        context["calibration"] = calibration
-
-    started = time.monotonic()
-    report = task.run(context=context)
-    elapsed_ms = int((time.monotonic() - started) * 1000)
+    load_tools()  # #46: registra gli strumenti degli entry point di vs-tools
+    with tempfile.TemporaryDirectory() as empty_dir:
+        session = _open_session(graph, recipe_dir, calibration, empty_dir)
+        wrapped_image = (
+            image if isinstance(image, Image) else Image(pixels=np.asarray(image))
+        )
+        started = time.monotonic()
+        report = session.run(wrapped_image)
+        elapsed_ms = int((time.monotonic() - started) * 1000)

    outputs: dict[str, float] = {}
    failures: list[ToolFailure] = []
    invalid_outputs: dict[str, str] = {}
+    overlay: list[dict] = []
    for result in report:
+        # #46: overlay di ogni strumento, con il tool_id di chi lo ha prodotto
+        for item in result.overlay or []:
+            if isinstance(item, dict):
+                overlay.append({**item, "tool_id": result.tool_id})
        if not result.ok:
            failures.append(ToolFailure(
                tool_id=result.tool_id,
@@ -164,4 +208,55 @@ def run_graph(
        engine_version=engine_version(),
        duration_ms=elapsed_ms,
        invalid_outputs=invalid_outputs,
+        overlay=overlay,
+        outcome=report.outcome,
    )
+
+
+def _is_number(value: Any) -> bool:
+    return isinstance(value, (int, float)) and not isinstance(value, bool)
+
+
+def validate_graph(
+    graph: dict, recipe_dir: Any = None
+) -> tuple[bool, list[str], list[dict]]:
+    """Validate a v2 recipe without an image: (ok, errors, numeric outputs).
+
+    Not a draft: a missing meta file is an error. `outputs` lists the numeric
+    outputs the tools declare (OUT properties with a numeric default, plus the
+    `values` of dimension tools), with quantity/unit when declared.
+    """
+    load_tools()
+    if not isinstance(graph, dict):
+        return False, ["graph must be a JSON object"], []
+    try:
+        task = Task.from_dict(
+            graph, recipe_dir=Path(recipe_dir) if recipe_dir else None
+        )
+    except RecipeError as exc:
+        return False, list(exc.errors), []
+    except (KeyError, TypeError, AttributeError, ValueError) as exc:
+        return False, [f"{type(exc).__name__}: {exc}"], []
+
+    outputs: list[dict] = []
+    for tool in task.tools:
+        value_quantities = getattr(tool, "value_quantities", None) or {}
+        values = tuple(getattr(tool, "values", ()) or ())
+        for prop in tool.outputs():
+            if not (_is_number(prop.default) or prop.name in values):
+                continue
+            quantity = value_quantities.get(prop.name, getattr(tool, "quantity", None))
+            if not isinstance(quantity, str):
+                quantity = None
+            unit = None
+            if quantity == "length":
+                nominal_unit = getattr(tool, "nominal_unit", None)
+                unit = nominal_unit if isinstance(nominal_unit, str) else None
+            elif quantity == "angle":
+                unit = "deg"
+            outputs.append({
+                "key": f"{tool.id}.{prop.name}",
+                "quantity": quantity,
+                "unit": unit,
+            })
+    return True, [], outputs
@@ -34,14 +34,16 @@ def a_disc(radius: int = 60, size: int = 400) -> np.ndarray:
 def a_circle_graph() -> dict:
    """A two-tool graph, built with vs-task's own API."""
    from visionsuite.task import Task
-    from visionsuite.task.tools import DetectCircleTool, DiameterTool
+    from visionsuite.tools.detect import DetectCircle
+    from visionsuite.tools.dimensions import Diameter

    task = Task(name="prova")
-    found = task.add(DetectCircleTool(name="disco"))
+    found = task.add(DetectCircle(name="disco"))
    found.center_row, found.center_col, found.radius = 200.0, 200.0, 60.0
    found.scan_size = 30.0

-    quota = task.add(DiameterTool(name="diametro"))
+    quota = task.add(Diameter(name="diametro"))
+    quota.nominal_unit = "px"  # #46: v2, senza calibrazione la quota resta in px
    quota.link("circle", found, "circle")
    return task.to_dict()

@@ -63,7 +65,7 @@ def test_a_broken_tool_does_not_sink_the_others():
    graph = a_circle_graph()
    graph["tools"].append(
        {"id": "ghost", "kind": "DetectCircle", "name": "assente",
-         "properties": {"center_row": 5.0, "center_col": 5.0, "radius": 900.0}}
+         "values": {"center_row": 5.0, "center_col": 5.0, "radius": 900.0}}
    )

    outcome = run_graph(a_disc(), graph)
@@ -81,14 +83,21 @@ class _FakeResult:
        self.ok = ok
        self.outputs = outputs or {}
        self.error = error
+        self.overlay = []  # #46: v2, ogni risultato porta l'overlay
+
+
+class _FakeReport(list):
+    """#46: run_graph ora legge `.outcome` dal report di Session.run."""
+
+    outcome = "pass"


 def test_a_nan_output_is_dropped_not_measured(monkeypatch):
    """vs-measure emits NaN on an empty slice (caliper.py:112 per the
    revisione) - a NaN must not become a quote's value (#16)."""
-    def fake_run(self, context=None):
-        return [_FakeResult("t1", "diametro", True, outputs={"diameter": float("nan")})]
-    monkeypatch.setattr(runner.Task, "run", fake_run)
+    def fake_run(self, image, tag=None):
+        return _FakeReport([_FakeResult("t1", "diametro", True, outputs={"diameter": float("nan")})])
+    monkeypatch.setattr(runner.Session, "run", fake_run)

    outcome = run_graph(a_disc(), a_circle_graph())

@@ -97,9 +106,9 @@ def test_a_nan_output_is_dropped_not_measured(monkeypatch):


 def test_an_infinite_output_is_dropped_not_measured(monkeypatch):
-    def fake_run(self, context=None):
-        return [_FakeResult("t1", "diametro", True, outputs={"diameter": float("inf")})]
-    monkeypatch.setattr(runner.Task, "run", fake_run)
+    def fake_run(self, image, tag=None):
+        return _FakeReport([_FakeResult("t1", "diametro", True, outputs={"diameter": float("inf")})])
+    monkeypatch.setattr(runner.Session, "run", fake_run)

    outcome = run_graph(a_disc(), a_circle_graph())

@@ -109,9 +118,9 @@ def test_an_infinite_output_is_dropped_not_measured(monkeypatch):

 def test_a_bool_output_is_not_treated_as_a_measurable_number(monkeypatch):
    """bool is a subclass of int - a flag output must not become a quote."""
-    def fake_run(self, context=None):
-        return [_FakeResult("t1", "flag", True, outputs={"present": True})]
-    monkeypatch.setattr(runner.Task, "run", fake_run)
+    def fake_run(self, image, tag=None):
+        return _FakeReport([_FakeResult("t1", "flag", True, outputs={"present": True})])
+    monkeypatch.setattr(runner.Session, "run", fake_run)

    outcome = run_graph(a_disc(), a_circle_graph())

@@ -155,3 +164,127 @@ def test_engine_version_raises_rather_than_inventing_one(monkeypatch):
            engine_version()
    finally:
        runner._engine_version_from_git.cache_clear()
+
+
+# ---------------------------------------------------------------------------
+# #46: ricette v2 complete - overlay, calibrazione, recipe_dir con DXF.
+# ---------------------------------------------------------------------------
+
+import hashlib
+import shutil
+from pathlib import Path
+
+import cv2
+
+_VS = Path(__file__).resolve().parents[3] / "vendor" / "visionsuite"
+_SAMPLE_DXF = _VS / "packages" / "vs-dxf" / "tests" / "fixtures" / "sample.dxf"
+# Il disegno di prova: rettangolo 200x100 mm con foro r=10 mm.
+_PX_PER_MM = 4.0
+
+
+def _dxf_scene() -> np.ndarray:
+    """Il pezzo del disegno rasterizzato a 4 px/mm, margine 60 mm."""
+    margin = 60.0
+    w = int((200.0 + 2 * margin) * _PX_PER_MM)
+    h = int((100.0 + 2 * margin) * _PX_PER_MM)
+    img = np.full((h, w), 255, dtype=np.uint8)
+    cx, cy = w // 2, h // 2
+    hw, hh = 200.0 * _PX_PER_MM / 2, 100.0 * _PX_PER_MM / 2
+    cv2.rectangle(img, (int(cx - hw), int(cy - hh)), (int(cx + hw), int(cy + hh)), 0, -1)
+    cv2.circle(img, (cx, cy), int(10.0 * _PX_PER_MM), 255, -1)
+    return img
+
+
+def _dxf_recipe() -> dict:
+    """CompareDxf con ancora a due punti, collegati a due DetectPointScan.
+
+    Le due scansioni trovano i bordi sinistro e destro del pezzo una riga
+    sopra il lato in basso: origine del disegno = angolo in basso a sinistra,
+    direzione a -> b = asse x del disegno.
+    """
+    h, w = _dxf_scene().shape
+    cx, cy = w // 2, h // 2
+    hw, hh = 200.0 * _PX_PER_MM / 2, 100.0 * _PX_PER_MM / 2
+    row = cy + hh - 1.0
+
+    def scan(tid: str, col: float) -> dict:
+        return {"id": tid, "name": tid, "kind": "DetectPointScan",
+                "values": {"start_row": row, "start_col": col - 30.0,
+                           "end_row": row, "end_col": col + 30.0,
+                           "width": 5.0, "select": "first"},
+                "links": {}}
+
+    return {
+        "schema_version": 2,
+        "name": "dxf",
+        "meta": {"dxf": {"disegno": {  # sha256 obbligatorio in meta (v2)
+            "path": "disegno.dxf",
+            "sha256": hashlib.sha256(_SAMPLE_DXF.read_bytes()).hexdigest()}}},
+        "tools": [
+            scan("t-a", cx - hw),
+            scan("t-b", cx + hw),
+            {"id": "t-dxf", "name": "confronto", "kind": "CompareDxf",
+             "values": {"dxf": "disegno", "mm_per_px": 1.0 / _PX_PER_MM,
+                        "anchor": "two_points",
+                        "band_plus": 8.0, "band_minus": 8.0},
+             "links": {"point_a": {"tool": "t-a", "property": "point"},
+                       "point_b": {"tool": "t-b", "property": "point"}}},
+        ],
+    }
+
+
+def test_a_circle_recipe_returns_overlay_and_outcome():
+    outcome = run_graph(a_disc(), a_circle_graph())
+
+    assert outcome.outcome in ("pass", "warning", "fail")
+    assert outcome.overlay, "DetectCircle must draw something"
+    assert all("tool_id" in item for item in outcome.overlay)
+
+
+def test_calibration_dict_gives_mm_quotes():
+    graph = a_circle_graph()
+    for tool in graph["tools"]:
+        if tool["kind"] == "Diameter":
+            tool["values"]["nominal_unit"] = "mm"
+
+    outcome = run_graph(a_disc(), graph, calibration={"mm_per_px": 0.5})
+
+    assert outcome.failures == []
+    diameter = next(v for k, v in outcome.outputs.items() if k.endswith(".value"))
+    assert diameter == pytest.approx(60.0, abs=2.0)  # 120 px * 0.5 mm/px
+
+
+def test_compare_dxf_two_points_with_recipe_dir(tmp_path):
+    shutil.copy(_SAMPLE_DXF, tmp_path / "disegno.dxf")
+
+    outcome = run_graph(_dxf_scene(), _dxf_recipe(), recipe_dir=tmp_path)
+
+    assert outcome.failures == []
+    assert outcome.outputs["t-dxf.n_points"] > 1000
+    assert outcome.outputs["t-dxf.points_in_pct"] > 95.0
+    roles = {item.get("role") for item in outcome.overlay}
+    assert {"reference", "found"} <= roles
+    assert "t-dxf" in {item["tool_id"] for item in outcome.overlay}
+
+
+def test_missing_meta_file_is_a_graph_build_error(tmp_path):
+    with pytest.raises(runner.GraphBuildError):
+        run_graph(_dxf_scene(), _dxf_recipe(), recipe_dir=tmp_path)
+
+
+def test_validate_lists_numeric_outputs(tmp_path):
+    shutil.copy(_SAMPLE_DXF, tmp_path / "disegno.dxf")
+    graph = _dxf_recipe()
+
+    ok, errors, outputs = runner.validate_graph(graph, tmp_path)
+
+    assert ok, errors
+    keys = {o["key"] for o in outputs}
+    assert {"t-dxf.points_in_pct", "t-dxf.n_points"} <= keys
+    assert all(set(o) == {"key", "quantity", "unit"} for o in outputs)
+
+
+def test_validate_reports_a_missing_file(tmp_path):
+    ok, errors, outputs = runner.validate_graph(_dxf_recipe(), tmp_path)
+
+    assert not ok and errors and outputs == []
@@ -10,12 +10,20 @@ import asyncio
 import io
 import json
 import os
+import re
+from pathlib import Path

 import numpy as np
 from fastapi import FastAPI, File, Form, HTTPException, UploadFile, status
 from PIL import Image, UnidentifiedImageError

-from src.vision.runner import GraphBuildError, RunOutcome, engine_version, run_graph
+from src.vision.runner import (
+    GraphBuildError,
+    RunOutcome,
+    engine_version,
+    run_graph,
+    validate_graph,
+)

 app = FastAPI(title="TieMeasureFlow Vision Worker", version="0.1.0")

@@ -31,6 +39,69 @@ _MAX_CONCURRENCY = int(os.environ.get("VISION_MAX_CONCURRENCY", "2"))
 _run_slots = asyncio.Semaphore(_MAX_CONCURRENCY)


+# #46: radice sotto cui vivono le cartelle delle ricette (volume uploads,
+# montato in sola lettura nel worker). `recipe_dir` e' relativo a questa radice.
+_RECIPES_ROOT_DEFAULT = "/app/uploads"
+
+
+def _unprocessable(detail: str) -> HTTPException:
+    return HTTPException(
+        status_code=status.HTTP_422_UNPROCESSABLE_CONTENT, detail=detail
+    )
+
+
+def _resolve_recipe_dir(recipe_dir: str | None) -> Path | None:
+    """Percorso RELATIVO sotto VISION_RECIPES_ROOT -> cartella assoluta.
+
+    Assoluto, `..` o fuori radice (anche via symlink) -> 422. Vuoto -> None.
+    """
+    if recipe_dir is None or not recipe_dir.strip():
+        return None
+    rel = recipe_dir.strip()
+    # Letto a ogni richiesta (non a import) cosi' i test possono cambiarlo.
+    root = Path(os.environ.get("VISION_RECIPES_ROOT", _RECIPES_ROOT_DEFAULT)).resolve()
+    if (
+        Path(rel).is_absolute()
+        # #46: lettera di unita (C:/x) rifiutata su ogni OS; UNC coperto da startswith("\\")
+        or re.match(r"^[A-Za-z]:", rel)
+        or rel.startswith(("/", "\\"))
+        or ".." in Path(rel.replace("\\", "/")).parts
+    ):
+        raise _unprocessable("recipe_dir must be a relative path under the recipes root")
+    resolved = (root / rel).resolve()
+    if resolved != root and root not in resolved.parents:
+        raise _unprocessable("recipe_dir is outside the recipes root")
+    return resolved
+
+
+def _parse_graph(graph: str) -> dict:
+    try:
+        parsed = json.loads(graph)
+    except json.JSONDecodeError as exc:
+        raise _unprocessable(f"graph is not valid JSON: {exc}") from exc
+    if not isinstance(parsed, dict):
+        raise _unprocessable(
+            f"graph must be a JSON object, got {type(parsed).__name__}"
+        )
+    return parsed
+
+
+def _parse_calibration(calibration: str | None) -> dict | None:
+    if calibration is None or not calibration.strip():
+        return None
+    try:
+        parsed = json.loads(calibration)
+    except json.JSONDecodeError as exc:
+        raise _unprocessable(f"calibration is not valid JSON: {exc}") from exc
+    if not isinstance(parsed, dict) or not (
+        parsed.get("mm_per_px") or parsed.get("px_per_mm")
+    ):
+        raise _unprocessable(
+            "calibration must be {'mm_per_px': float} or {'px_per_mm': float}"
+        )
+    return parsed
+
+
 class _ImageDecodeError(Exception):
    """The upload is not a decodable image - raised inside the worker thread
    so it survives the trip through `asyncio.to_thread`."""
@@ -44,7 +115,12 @@ async def health() -> dict:
    return {"status": "ok", "engine_version": engine_version()}


-def _decode_and_run(content: bytes, graph: dict) -> RunOutcome:
+def _decode_and_run(
+    content: bytes,
+    graph: dict,
+    calibration: dict | None = None,
+    recipe_dir: Path | None = None,
+) -> RunOutcome:
    """The synchronous, CPU/IO-bound half of a request: PIL decode plus
    `run_graph`. Runs in a worker thread (see `run` below) so the event loop -
    and therefore `/health` - stays responsive while it executes. Once this
@@ -56,27 +132,19 @@ def _decode_and_run(content: bytes, graph: dict) -> RunOutcome:
        frame = np.array(Image.open(io.BytesIO(content)).convert("L"))
    except (UnidentifiedImageError, OSError) as exc:
        raise _ImageDecodeError(str(exc)) from exc
-    return run_graph(frame, graph)
+    return run_graph(frame, graph, calibration=calibration, recipe_dir=recipe_dir)


@app.post("/run")
 async def run(
    image: UploadFile = File(...),
    graph: str = Form(...),
+    recipe_dir: str | None = Form(None),
+    calibration: str | None = Form(None),
 ) -> dict:
-    try:
-        parsed_graph = json.loads(graph)
-    except json.JSONDecodeError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
-            detail=f"graph is not valid JSON: {exc}",
-        ) from exc
-
-    if not isinstance(parsed_graph, dict):
-        raise HTTPException(
-            status_code=status.HTTP_422_UNPROCESSABLE_CONTENT,
-            detail=f"graph must be a JSON object, got {type(parsed_graph).__name__}",
-        )
+    parsed_graph = _parse_graph(graph)
+    resolved_dir = _resolve_recipe_dir(recipe_dir)
+    parsed_calibration = _parse_calibration(calibration)

    content = await image.read()

@@ -89,7 +157,13 @@ async def run(
    async with _run_slots:
        try:
            outcome = await asyncio.wait_for(
-                asyncio.to_thread(_decode_and_run, content, parsed_graph),
+                asyncio.to_thread(
+                    _decode_and_run,
+                    content,
+                    parsed_graph,
+                    parsed_calibration,
+                    resolved_dir,
+                ),
                timeout=_RUN_TIMEOUT_S,
            )
        except asyncio.TimeoutError as exc:
@@ -130,4 +204,22 @@ async def run(
        "engine_version": outcome.engine_version,
        "duration_ms": outcome.duration_ms,
        "invalid_outputs": outcome.invalid_outputs,
+        # #46: contorni per l'overlay sull'immagine e esito VisionSuite.
+        "overlay": outcome.overlay,
+        "outcome": outcome.outcome,
    }
+
+
+@app.post("/validate")
+async def validate(
+    graph: str = Form(...),
+    recipe_dir: str | None = Form(None),
+) -> dict:
+    """Validates a v2 recipe (not a draft: a missing meta file is an error)
+    and lists its numeric outputs. No image, so it is cheap: no run slot."""
+    parsed_graph = _parse_graph(graph)
+    resolved_dir = _resolve_recipe_dir(recipe_dir)
+    ok, errors, outputs = await asyncio.to_thread(
+        validate_graph, parsed_graph, resolved_dir
+    )
+    return {"ok": ok, "errors": errors, "outputs": outputs}
@@ -45,13 +45,15 @@ def a_disc_png(radius: int = 60, size: int = 400) -> bytes:

 def a_circle_graph() -> dict:
    from visionsuite.task import Task
-    from visionsuite.task.tools import DetectCircleTool, DiameterTool
+    from visionsuite.tools.detect import DetectCircle
+    from visionsuite.tools.dimensions import Diameter

    task = Task(name="prova")
-    found = task.add(DetectCircleTool(name="disco"))
+    found = task.add(DetectCircle(name="disco"))
    found.center_row, found.center_col, found.radius = 200.0, 200.0, 60.0
    found.scan_size = 30.0
-    quota = task.add(DiameterTool(name="diametro"))
+    quota = task.add(Diameter(name="diametro"))
+    quota.nominal_unit = "px"  # #46: v2, senza calibrazione la quota resta in px
    quota.link("circle", found, "circle")
    return task.to_dict()

@@ -140,7 +142,7 @@ async def test_a_graph_that_is_not_an_object_is_refused():

@pytest.mark.asyncio
 async def test_a_tool_without_a_kind_is_refused_not_crashed():
-    graph = {"schema_version": 1, "name": "p", "tools": [{"id": "a", "name": "x"}]}
+    graph = {"schema_version": 2, "name": "p", "tools": [{"id": "a", "name": "x"}]}
    transport = ASGITransport(app=app)
    async with AsyncClient(transport=transport, base_url="http://worker") as client:
        response = await client.post(
@@ -151,7 +153,7 @@ async def test_a_tool_without_a_kind_is_refused_not_crashed():

    assert response.status_code == 422
    assert "malformed graph" in response.json()["detail"].lower()
-    assert "kind" in response.json()["detail"].lower()
+    assert "tipo sconosciuto" in response.json()["detail"].lower()  # #46: messaggio v2


 # ---------------------------------------------------------------------------
@@ -167,7 +169,7 @@ async def test_a_run_past_its_budget_answers_504_and_health_still_answers(
 ):
    monkeypatch.setattr(worker_main, "_RUN_TIMEOUT_S", 0.1)

-    def slow_run_graph(frame, graph):
+    def slow_run_graph(frame, graph, **kwargs):
        time.sleep(0.5)  # off the event loop - it runs inside asyncio.to_thread
        return runner.RunOutcome(engine_version="a" * 40)

@@ -197,7 +199,7 @@ async def test_a_third_concurrent_run_is_refused_not_queued(monkeypatch):
    monkeypatch.setattr(worker_main, "_run_slots", asyncio.Semaphore(1))
    monkeypatch.setattr(worker_main, "_RUN_TIMEOUT_S", 2.0)

-    def slow_run_graph(frame, graph):
+    def slow_run_graph(frame, graph, **kwargs):
        time.sleep(0.3)
        return runner.RunOutcome(engine_version="a" * 40)

@@ -222,3 +224,88 @@ async def test_a_third_concurrent_run_is_refused_not_queued(monkeypatch):

    assert second_response.status_code == 503
    assert first_response.status_code == 200
+
+
+# ---------------------------------------------------------------------------
+# #46: recipe_dir, calibration, overlay, /validate.
+# ---------------------------------------------------------------------------
+
+
+async def _post(path: str, **kwargs):
+    transport = ASGITransport(app=app)
+    async with AsyncClient(transport=transport, base_url="http://worker") as client:
+        return await client.post(path, **kwargs)
+
+
+@pytest.mark.asyncio
+async def test_run_returns_overlay_and_outcome():
+    response = await _post(
+        "/run",
+        files={"image": ("piece.png", a_disc_png(), "image/png")},
+        data={"graph": json.dumps(a_circle_graph())},
+    )
+
+    body = response.json()
+    assert response.status_code == 200
+    assert body["overlay"] and "tool_id" in body["overlay"][0]
+    assert body["outcome"] in ("pass", "warning", "fail")
+
+
+@pytest.mark.asyncio
+async def test_run_accepts_a_calibration():
+    graph = a_circle_graph()
+    for tool in graph["tools"]:
+        if tool["kind"] == "Diameter":
+            tool["values"]["nominal_unit"] = "mm"
+    response = await _post(
+        "/run",
+        files={"image": ("piece.png", a_disc_png(), "image/png")},
+        data={"graph": json.dumps(graph),
+              "calibration": json.dumps({"px_per_mm": 2.0})},
+    )
+
+    body = response.json()
+    assert response.status_code == 200, body
+    assert body["failures"] == []
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("bad", ["../etc", "a/../../b", "/abs/path", "C:/x/y"])
+async def test_a_recipe_dir_outside_the_root_is_refused(bad, monkeypatch, tmp_path):
+    monkeypatch.setenv("VISION_RECIPES_ROOT", str(tmp_path))
+    response = await _post(
+        "/run",
+        files={"image": ("piece.png", a_disc_png(), "image/png")},
+        data={"graph": json.dumps(a_circle_graph()), "recipe_dir": bad},
+    )
+    assert response.status_code == 422
+
+    response = await _post(
+        "/validate", data={"graph": json.dumps(a_circle_graph()), "recipe_dir": bad}
+    )
+    assert response.status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_validate_ok_and_with_a_missing_file(monkeypatch, tmp_path):
+    monkeypatch.setenv("VISION_RECIPES_ROOT", str(tmp_path))
+    response = await _post("/validate", data={"graph": json.dumps(a_circle_graph())})
+    body = response.json()
+    assert response.status_code == 200 and body["ok"] is True
+    assert any(o["key"].endswith(".diameter") for o in body["outputs"])
+
+    (tmp_path / "r1").mkdir()
+    graph = {
+        "schema_version": 2, "name": "d",
+        "meta": {"dxf": {"d": {"path": "mancante.dxf"}}},
+        "tools": [{"id": "t", "name": "c", "kind": "CompareDxf",
+                   "values": {"dxf": "d", "mm_per_px": 0.25,
+                              "band_plus": 8.0, "band_minus": 8.0},
+                   "links": {}}],
+    }
+    response = await _post(
+        "/validate", data={"graph": json.dumps(graph), "recipe_dir": "r1"}
+    )
+    body = response.json()
+    assert response.status_code == 200
+    assert body["ok"] is False and body["errors"] and body["outputs"] == []
@@ -626,6 +626,45 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/21/0e/8459ca4413e1a21a06c97d134bfaf18adfd27cea068813dc0faae06cbf00/cssselect2-0.9.0-py3-none-any.whl", hash = "sha256:6a99e5f91f9a016a304dd929b0966ca464bcfda15177b6fb4a118fc0fb5d9563", size = 15453, upload-time = "2026-02-12T17:16:38.317Z" },
 ]

+[[package]]
+name = "ezdxf"
+version = "1.4.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "fonttools" },
+    { name = "numpy" },
+    { name = "pyparsing" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5e/d7/1b7be8db364f1c4838dfc1a40ca96577aba405deabf896a4eb3aaeb15a62/ezdxf-1.4.4.tar.gz", hash = "sha256:da5a5e0e6bdbb6656f9c017b47edc7eafceb419d61a2b5de64ffb344c168e593", size = 1866886, upload-time = "2026-05-14T09:19:19.511Z" }
+wheels = [
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+    { name = "numpy", specifier = ">=1.24" },
+    { name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
+    { name = "uvicorn", marker = "extra == 'server'", specifier = ">=0.34" },
+    { name = "visionsuite", editable = "vendor/visionsuite/packages/vs-core" },
+    { name = "vs-stat", marker = "extra == 'stat'", editable = "vendor/visionsuite/packages/vs-stat" },
+]
+provides-extras = ["dev", "stat", "server"]
+
+[[package]]
+name = "vs-tools"
+version = "0.1.0"
+source = { editable = "vendor/visionsuite/packages/vs-tools" }
+dependencies = [
+    { name = "numpy" },
+    { name = "visionsuite" },
+    { name = "vs-measure" },
+    { name = "vs-task" },
+]
+
+[package.optional-dependencies]
+dxf = [
+    { name = "vs-dxf" },
+]
+locate = [
+    { name = "vs-pm2d" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "ezdxf", marker = "extra == 'dev'", specifier = ">=1.0" },
    { name = "numpy", specifier = ">=1.24" },
    { name = "pytest", marker = "extra == 'dev'", specifier = ">=7" },
    { name = "visionsuite", editable = "vendor/visionsuite/packages/vs-core" },
+    { name = "vs-dxf", marker = "extra == 'dxf'", editable = "vendor/visionsuite/packages/vs-dxf" },
    { name = "vs-measure", editable = "vendor/visionsuite/packages/vs-measure" },
+    { name = "vs-pm2d", marker = "extra == 'locate'", editable = "vendor/visionsuite/packages/vs-pm2d" },
+    { name = "vs-task", editable = "vendor/visionsuite/packages/vs-task" },
+    { name = "vs-tools", extras = ["locate", "dxf"], marker = "extra == 'dev'", editable = "vendor/visionsuite/packages/vs-tools" },
 ]
-provides-extras = ["dev"]
+provides-extras = ["locate", "dxf", "dev"]

 [[package]]
 name = "watchfiles"
Author	SHA1	Message	Date
Adriano	3899d5ecd9	Merge lavoro/daitarn-46-motore: percorsi con lettera di unità (#46 )	2026-10-07 12:32:47 +02:00
Adriano	f986c172c2	Worker: recipe_dir con lettera di unita rifiutato su ogni OS (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 12:32:34 +02:00
Adriano	c1c7ae8d0e	Merge lavoro/daitarn-46-operatore (#46 )	2026-10-07 12:27:16 +02:00
Adriano	cf49695140	Merge lavoro/daitarn-46-maker (#46 )	2026-10-07 12:27:16 +02:00
Adriano	c9e01a223b	Merge lavoro/daitarn-46-backend (#46 )	2026-10-07 12:27:15 +02:00
Adriano	3690c35c47	Merge lavoro/daitarn-46-motore (#46 )	2026-10-07 12:27:15 +02:00
Adriano	3856ee335a	operatore: acquisizione immagine, proxy execute e overlay per camera_measure/dxf_compare (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 11:55:42 +02:00
Adriano	e640c4a36e	Maker: ricetta visione e uscita per quota, tipi camera_measure/dxf_compare (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 11:55:31 +02:00
Adriano	accf416cc9	Motore v2: run_graph con recipe_dir/calibrazione/overlay, /validate, test (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 11:54:27 +02:00
Adriano	84a4b5f34d	Regola submodule VisionSuite su origin/main (bc0df16), uv.lock (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 11:51:06 +02:00
Adriano	9238f8926b	visionsuite bc0df16, vs-tools e vs-dxf nelle dipendenze (#46 ) Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-07 11:50:35 +02:00