feat(maker): AI parsing schede tecniche PDF via OpenRouter

- Nuovo servizio ai_service.py: estrae testo da PDF (pdfplumber) + analisi AI (OpenRouter)
- Endpoint POST /api/recipes/{id}/parse-technical-sheet con validazione file
- UI: bottone "Importa da PDF" nel task editor con modale upload + preview editabile
- Task suggeriti modificabili/rimovibili prima della creazione bulk
- Config: OPENROUTER_API_KEY e OPENROUTER_MODEL in .env
- Dipendenze: pdfplumber + httpx aggiunti a server deps

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.env.example

@@ -35,6 +35,10 @@ MAX_UPLOAD_SIZE_MB=50
 # --- Setup Page ---
 SETUP_PASSWORD=  # Password per /api/setup, vuoto = disabilitato
 
+# --- AI (OpenRouter) ---
+OPENROUTER_API_KEY=  # API key per parsing schede tecniche, vuoto = disabilitato
+OPENROUTER_MODEL=anthropic/claude-sonnet-4  # Modello AI da utilizzare
+
 # --- Docker ---
 DB_ROOT_PASSWORD=root_password_change_me
 NGINX_PORT=80

pyproject.toml

@@ -30,6 +30,8 @@ server = [
     "plotly>=5.0.0",
     "kaleido>=0.2.0",
     "weasyprint>=62.0",
+    "pdfplumber>=0.10.0",
+    "httpx>=0.27.0",
 ]
 
 # Frontend (Flask tablet UI).

src/backend/api/routers/recipes.py

@@ -1,5 +1,7 @@
-"""Recipe router - CRUD, versioning, barcode lookup."""
+"""Recipe router - CRUD, versioning, barcode lookup, AI parsing."""
-from fastapi import APIRouter, Depends, Query
+import logging
+
+from fastapi import APIRouter, Depends, File, HTTPException, Query, UploadFile, status
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from src.backend.database import get_db
@@ -164,3 +166,31 @@ async def get_measurement_count(
     """
     count = await recipe_service.get_measurement_count(db, recipe_id, version_number)
     return {"recipe_id": recipe_id, "version_number": version_number, "measurement_count": count}
+
+
+@router.post("/{recipe_id}/parse-technical-sheet")
+async def parse_technical_sheet(
+    recipe_id: int,
+    file: UploadFile = File(...),
+    _user: User = Depends(require_maker),
+    db: AsyncSession = Depends(get_db),
+):
+    """Parse a PDF technical sheet using AI and return suggested tasks."""
+    from src.backend.services import ai_service
+
+    if not file.content_type or "pdf" not in file.content_type:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Il file deve essere un PDF")
+
+    pdf_bytes = await file.read()
+    if len(pdf_bytes) > 20 * 1024 * 1024:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="File troppo grande (max 20MB)")
+
+    try:
+        tasks = await ai_service.parse_technical_sheet(pdf_bytes)
+    except ValueError as e:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
+    except Exception as e:
+        logging.getLogger(__name__).error("AI parsing error: %s", e)
+        raise HTTPException(status_code=status.HTTP_502_BAD_GATEWAY, detail="Errore nel servizio AI")
+
+    return {"recipe_id": recipe_id, "suggested_tasks": tasks}

src/backend/config.py

@@ -34,6 +34,10 @@ class Settings(BaseSettings):
     # Setup page (empty = disabled)
     setup_password: str | None = None
 
+    # AI / OpenRouter (for technical sheet parsing)
+    openrouter_api_key: str | None = None
+    openrouter_model: str = "anthropic/claude-sonnet-4"
+
     @property
     def database_url(self) -> str:
         """Async MySQL connection string."""

src/backend/services/ai_service.py

@@ -0,0 +1,74 @@
+"""AI service for parsing technical sheets via OpenRouter."""
+import json
+import logging
+from io import BytesIO
+
+import httpx
+import pdfplumber
+
+from src.backend.config import settings
+
+logger = logging.getLogger(__name__)
+
+SYSTEM_PROMPT = """Sei un assistente specializzato nell'analisi di schede tecniche industriali.
+Analizza il testo estratto da una scheda tecnica e identifica i blocchi operativi distinti.
+Per ogni blocco, estrai:
+- title: titolo breve del blocco (es. "MATERIALI", "TEMPERATURA", "MISURA", "IMBALLO")
+- directive: istruzione operativa principale (es. "VERIFICARE ATTREZZATURE")
+- description: dettagli completi del blocco, preservando gli "a capo" originali
+
+Rispondi SOLO con un array JSON valido, senza markdown o testo aggiuntivo.
+Esempio:
+[
+  {"title": "MATERIALI", "directive": "Verificare materiali", "description": "RIGIDO (36): AFT9/UV CRI 7\\nMORBIDO (E38): M70"},
+  {"title": "TEMPERATURA", "directive": "Verificare impostazioni", "description": "RIGIDO: TEMP: 170/170/170/170/170\\nMORBIDO: TEMP: 130-135-140-145"}
+]"""
+
+
+def extract_text_from_pdf(pdf_bytes: bytes) -> str:
+    with pdfplumber.open(BytesIO(pdf_bytes)) as pdf:
+        pages = []
+        for page in pdf.pages:
+            text = page.extract_text()
+            if text:
+                pages.append(text)
+        return "\n\n---\n\n".join(pages)
+
+
+async def parse_technical_sheet(pdf_bytes: bytes) -> list[dict]:
+    text = extract_text_from_pdf(pdf_bytes)
+    if not text.strip():
+        return []
+
+    if not settings.openrouter_api_key:
+        raise ValueError("OPENROUTER_API_KEY non configurata")
+
+    async with httpx.AsyncClient(timeout=60) as client:
+        resp = await client.post(
+            "https://openrouter.ai/api/v1/chat/completions",
+            headers={
+                "Authorization": f"Bearer {settings.openrouter_api_key}",
+                "Content-Type": "application/json",
+            },
+            json={
+                "model": settings.openrouter_model,
+                "messages": [
+                    {"role": "system", "content": SYSTEM_PROMPT},
+                    {"role": "user", "content": f"Analizza questa scheda tecnica ed estrai i task:\n\n{text}"},
+                ],
+                "temperature": 0.1,
+            },
+        )
+        resp.raise_for_status()
+
+    data = resp.json()
+    content = data["choices"][0]["message"]["content"].strip()
+
+    # Strip markdown fences if present
+    if content.startswith("```"):
+        content = content.split("\n", 1)[1]
+        if content.endswith("```"):
+            content = content[:-3]
+        content = content.strip()
+
+    return json.loads(content)

src/frontend/flask_app/blueprints/maker.py

@@ -424,3 +424,24 @@ def api_get_measurement_count(recipe_id: int, version_number: int):
         return jsonify(resp), resp.get("status_code", 500)
 
     return jsonify(resp), 200
+
+
+@maker_bp.route("/api/recipes/<int:recipe_id>/parse-technical-sheet", methods=["POST"])
+@login_required
+@role_required("Maker")
+def api_parse_technical_sheet(recipe_id: int):
+    """Proxy: Parse PDF technical sheet with AI."""
+    file = request.files.get("file")
+    if not file:
+        return jsonify({"error": True, "detail": "Nessun file caricato"}), 400
+
+    api_key = session.get("api_key", "")
+    base_url = Config.API_SERVER_URL.rstrip("/")
+    resp = http_requests.post(
+        f"{base_url}/api/recipes/{recipe_id}/parse-technical-sheet",
+        headers={"X-API-Key": api_key},
+        files={"file": (file.filename, file.stream, file.content_type)},
+        timeout=90,
+    )
+
+    return jsonify(resp.json()), resp.status_code

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

@@ -221,6 +221,7 @@
       <span x-text="tasks.length"></span>
       <span x-text="tasks.length === 1 ? '{{ _('task') }}' : '{{ _('task') }}'"></span>
     </p>
+    <div class="flex items-center gap-2">
       <button @click="showAddTask = true; $nextTick(() => $refs.newTaskTitle && $refs.newTaskTitle.focus())"
               x-show="!showAddTask"
               class="btn btn-primary gap-1.5">
@@ -229,6 +230,15 @@
         </svg>
         {{ _('Aggiungi Task') }}
       </button>
+      <button @click="showAiImport = true"
+              x-show="!showAddTask"
+              class="btn btn-secondary gap-1.5">
+        <svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24">
+          <path stroke-linecap="round" stroke-linejoin="round" d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"/>
+        </svg>
+        {{ _('Importa da PDF') }}
+      </button>
+    </div>
   </div>
 
   <!-- ============================================================
@@ -930,6 +940,118 @@
     </div>
   </div>
 
+  {# ================================================================
+     AI IMPORT MODAL — Upload PDF + preview suggested tasks
+     ================================================================ #}
+  <div x-show="showAiImport"
+       x-transition:enter="transition ease-out duration-200"
+       x-transition:enter-start="opacity-0"
+       x-transition:enter-end="opacity-100"
+       x-transition:leave="transition ease-in duration-150"
+       x-transition:leave-start="opacity-100"
+       x-transition:leave-end="opacity-0"
+       x-cloak
+       class="fixed inset-0 z-50 flex items-center justify-center bg-black/50 backdrop-blur-sm"
+       @click.self="showAiImport = false">
+    <div class="bg-[var(--bg-card)] rounded-2xl shadow-2xl max-w-2xl w-full mx-4 max-h-[85vh] flex flex-col border border-[var(--border-color)]">
+
+      {# Header #}
+      <div class="p-5 border-b border-[var(--border-color)] shrink-0">
+        <div class="flex items-center gap-3">
+          <div class="w-10 h-10 rounded-full bg-primary-50 dark:bg-primary-900/30 flex items-center justify-center">
+            <svg class="w-5 h-5 text-primary" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24">
+              <path stroke-linecap="round" stroke-linejoin="round" d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"/>
+            </svg>
+          </div>
+          <div>
+            <h3 class="text-lg font-bold text-[var(--text-primary)]">{{ _('Importa da Scheda Tecnica') }}</h3>
+            <p class="text-xs text-[var(--text-secondary)]">{{ _('Carica un PDF e l\'AI estrarrà i task automaticamente') }}</p>
+          </div>
+        </div>
+      </div>
+
+      {# Body #}
+      <div class="p-5 overflow-y-auto flex-1">
+        {# Upload area (before analysis) #}
+        <div x-show="!aiSuggestions.length && !aiParsing">
+          <label class="flex flex-col items-center justify-center w-full h-40 border-2 border-dashed border-[var(--border-color)] rounded-xl cursor-pointer
+                        hover:border-primary hover:bg-primary-50/50 dark:hover:bg-primary-900/10 transition-colors">
+            <svg class="w-10 h-10 text-[var(--text-muted)] mb-2" fill="none" stroke="currentColor" stroke-width="1.5" viewBox="0 0 24 24">
+              <path stroke-linecap="round" stroke-linejoin="round" d="M3 16.5v2.25A2.25 2.25 0 005.25 21h13.5A2.25 2.25 0 0021 18.75V16.5m-13.5-9L12 3m0 0l4.5 4.5M12 3v13.5"/>
+            </svg>
+            <span class="text-sm font-medium text-[var(--text-secondary)]">{{ _('Clicca per caricare un PDF') }}</span>
+            <span class="text-xs text-[var(--text-muted)] mt-1">{{ _('Max 20MB') }}</span>
+            <input type="file" accept=".pdf,application/pdf" class="hidden" @change="uploadAndParse($event)">
+          </label>
+        </div>
+
+        {# Loading #}
+        <div x-show="aiParsing" class="flex flex-col items-center justify-center py-12">
+          <svg class="w-10 h-10 animate-spin text-primary mb-3" fill="none" viewBox="0 0 24 24">
+            <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"/>
+            <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v4a4 4 0 00-4 4H4z"/>
+          </svg>
+          <p class="text-sm font-medium text-[var(--text-secondary)]">{{ _('Analisi in corso con AI...') }}</p>
+          <p class="text-xs text-[var(--text-muted)] mt-1">{{ _('Potrebbe richiedere fino a 30 secondi') }}</p>
+        </div>
+
+        {# Error #}
+        <div x-show="aiError" class="p-3 rounded-lg bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 mb-4">
+          <p class="text-sm text-red-700 dark:text-red-300" x-text="aiError"></p>
+          <button @click="aiError = ''; aiSuggestions = []" class="text-xs text-red-600 underline mt-1">{{ _('Riprova') }}</button>
+        </div>
+
+        {# Suggested tasks (editable preview) #}
+        <div x-show="aiSuggestions.length > 0" class="space-y-3">
+          <p class="text-sm font-medium text-[var(--text-secondary)] mb-2">
+            <span x-text="aiSuggestions.length"></span> {{ _('task suggeriti — modifica o rimuovi prima di confermare') }}
+          </p>
+          <template x-for="(suggestion, idx) in aiSuggestions" :key="idx">
+            <div class="tmf-card">
+              <div class="p-4 space-y-2">
+                <div class="flex items-center justify-between gap-2">
+                  <span class="text-xs font-bold text-primary">Task <span x-text="idx + 1"></span></span>
+                  <button @click="aiSuggestions.splice(idx, 1)" class="text-xs text-red-500 hover:text-red-700">
+                    <svg class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24">
+                      <path stroke-linecap="round" stroke-linejoin="round" d="M19 7l-.867 12.142A2 2 0 0116.138 21H7.862a2 2 0 01-1.995-1.858L5 7m5 4v6m4-6v6m1-10V4a1 1 0 00-1-1h-4a1 1 0 00-1 1v3M4 7h16"/>
+                    </svg>
+                  </button>
+                </div>
+                <input type="text" x-model="suggestion.title" class="tmf-input text-sm font-semibold"
+                       placeholder="{{ _('Titolo') }}">
+                <input type="text" x-model="suggestion.directive" class="tmf-input text-sm"
+                       placeholder="{{ _('Direttiva') }}">
+                <textarea x-model="suggestion.description" class="tmf-input text-sm" rows="3"
+                          placeholder="{{ _('Descrizione') }}"></textarea>
+              </div>
+            </div>
+          </template>
+        </div>
+      </div>
+
+      {# Footer #}
+      <div class="p-4 border-t border-[var(--border-color)] shrink-0 flex items-center justify-between gap-2">
+        <button @click="showAiImport = false; aiSuggestions = []; aiError = ''"
+                class="btn btn-secondary text-sm">
+          {{ _('Annulla') }}
+        </button>
+        <button x-show="aiSuggestions.length > 0"
+                @click="createTasksFromSuggestions()"
+                :disabled="aiCreating"
+                class="btn btn-primary text-sm gap-1.5">
+          <svg x-show="!aiCreating" class="w-4 h-4" fill="none" stroke="currentColor" stroke-width="2" viewBox="0 0 24 24">
+            <path stroke-linecap="round" stroke-linejoin="round" d="M5 13l4 4L19 7"/>
+          </svg>
+          <svg x-show="aiCreating" class="w-4 h-4 animate-spin" fill="none" viewBox="0 0 24 24">
+            <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"/>
+            <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v4a4 4 0 00-4 4H4z"/>
+          </svg>
+          {{ _('Crea') }} <span x-text="aiSuggestions.length"></span> {{ _('task') }}
+        </button>
+      </div>
+    </div>
+  </div>
+
 </div>
 {% endblock %}
 
@@ -983,6 +1105,13 @@ function taskEditor() {
     // ---- Drag & Drop state ----
     dragState: { dragging: null, over: null, position: null },
 
+    // ---- AI Import ----
+    showAiImport: false,
+    aiParsing: false,
+    aiCreating: false,
+    aiSuggestions: [],
+    aiError: '',
+
     // ============================================================
     // Init
     // ============================================================
@@ -1081,6 +1210,80 @@ function taskEditor() {
       this.newTask = { title: '', directive: '', description: '' };
     },
 
+    // ============================================================
+    // AI Import
+    // ============================================================
+    async uploadAndParse(event) {
+      var file = event.target.files[0];
+      if (!file) return;
+      this.aiParsing = true;
+      this.aiError = '';
+      this.aiSuggestions = [];
+
+      try {
+        var formData = new FormData();
+        formData.append('file', file);
+        var resp = await fetch('/maker/api/recipes/' + this.recipeId + '/parse-technical-sheet', {
+          method: 'POST',
+          headers: { 'X-CSRFToken': this.csrfToken() },
+          body: formData
+        });
+        var data = await resp.json();
+
+        if (!resp.ok || data.error) {
+          this.aiError = data.detail || {{ _("Errore nell'analisi del PDF")|tojson }};
+        } else {
+          this.aiSuggestions = data.suggested_tasks || [];
+          if (!this.aiSuggestions.length) {
+            this.aiError = {{ _("Nessun task identificato nel PDF")|tojson }};
+          }
+        }
+      } catch (err) {
+        console.error('AI parse error:', err);
+        this.aiError = {{ _("Errore di connessione al server")|tojson }};
+      }
+
+      this.aiParsing = false;
+      event.target.value = '';
+    },
+
+    async createTasksFromSuggestions() {
+      this.aiCreating = true;
+      var created = 0;
+
+      for (var i = 0; i < this.aiSuggestions.length; i++) {
+        var s = this.aiSuggestions[i];
+        if (!s.title || !s.title.trim()) continue;
+
+        try {
+          var resp = await fetch('/maker/api/recipes/' + this.recipeId + '/tasks', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json', 'X-CSRFToken': this.csrfToken() },
+            body: JSON.stringify({
+              title: s.title.trim(),
+              directive: (s.directive || '').trim() || null,
+              description: (s.description || '').trim() || null
+            })
+          });
+          var data = await resp.json();
+          if (!data.error) {
+            if (!data.subtasks) data.subtasks = [];
+            this.tasks.push(data);
+            created++;
+          }
+        } catch (err) {
+          console.error('Create task error:', err);
+        }
+      }
+
+      this.aiCreating = false;
+      this.showAiImport = false;
+      this.aiSuggestions = [];
+      if (created > 0) {
+        this.successMessage = created + ' ' + {{ _("task creati dalla scheda tecnica")|tojson }};
+      }
+    },
+
     async addTask() {
       if (!this.newTask.title.trim()) return;
       this.saving = true;

src/frontend/flask_app/translations/en/LC_MESSAGES/messages.po

@@ -768,6 +768,42 @@ msgstr "Send signal to management system to start the line timer"
 msgid "Produzione avviata"
 msgstr "Production started"
 
+msgid "Importa da PDF"
+msgstr "Import from PDF"
+
+msgid "Importa da Scheda Tecnica"
+msgstr "Import from Technical Sheet"
+
+msgid "Carica un PDF e l'AI estrarrà i task automaticamente"
+msgstr "Upload a PDF and AI will extract tasks automatically"
+
+msgid "Clicca per caricare un PDF"
+msgstr "Click to upload a PDF"
+
+msgid "Analisi in corso con AI..."
+msgstr "AI analysis in progress..."
+
+msgid "Potrebbe richiedere fino a 30 secondi"
+msgstr "May take up to 30 seconds"
+
+msgid "Riprova"
+msgstr "Retry"
+
+msgid "task suggeriti — modifica o rimuovi prima di confermare"
+msgstr "suggested tasks — edit or remove before confirming"
+
+msgid "Crea"
+msgstr "Create"
+
+msgid "Errore nell'analisi del PDF"
+msgstr "Error analyzing PDF"
+
+msgid "Nessun task identificato nel PDF"
+msgstr "No tasks identified in PDF"
+
+msgid "task creati dalla scheda tecnica"
+msgstr "tasks created from technical sheet"
+
 msgid "Prossima misurazione tra"
 msgstr "Next measurement in"
 

src/frontend/flask_app/translations/it/LC_MESSAGES/messages.po

@@ -798,6 +798,42 @@ msgstr "Invia segnale al gestionale per avviare il timer della linea"
 msgid "Produzione avviata"
 msgstr "Produzione avviata"
 
+msgid "Importa da PDF"
+msgstr "Importa da PDF"
+
+msgid "Importa da Scheda Tecnica"
+msgstr "Importa da Scheda Tecnica"
+
+msgid "Carica un PDF e l'AI estrarrà i task automaticamente"
+msgstr "Carica un PDF e l'AI estrarrà i task automaticamente"
+
+msgid "Clicca per caricare un PDF"
+msgstr "Clicca per caricare un PDF"
+
+msgid "Analisi in corso con AI..."
+msgstr "Analisi in corso con AI..."
+
+msgid "Potrebbe richiedere fino a 30 secondi"
+msgstr "Potrebbe richiedere fino a 30 secondi"
+
+msgid "Riprova"
+msgstr "Riprova"
+
+msgid "task suggeriti — modifica o rimuovi prima di confermare"
+msgstr "task suggeriti — modifica o rimuovi prima di confermare"
+
+msgid "Crea"
+msgstr "Crea"
+
+msgid "Errore nell'analisi del PDF"
+msgstr "Errore nell'analisi del PDF"
+
+msgid "Nessun task identificato nel PDF"
+msgstr "Nessun task identificato nel PDF"
+
+msgid "task creati dalla scheda tecnica"
+msgstr "task creati dalla scheda tecnica"
+
 msgid "Prossima misurazione tra"
 msgstr "Prossima misurazione tra"
 

uv.lock

@@ -554,6 +554,65 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9e/ee/a4cf96b8ce1e566ed238f0659ac2d3f007ed1d14b181bcb684e19561a69a/coverage-7.13.5-py3-none-any.whl", hash = "sha256:34b02417cf070e173989b3db962f7ed56d2f644307b2cf9d5a0f258e13084a61", size = 211346, upload-time = "2026-03-17T10:33:15.691Z" },
 ]
 
+[[package]]
+name = "cryptography"
+version = "48.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9f/a9/db8f313fdcd85d767d4973515e1db101f9c71f95fced83233de224673757/cryptography-48.0.0.tar.gz", hash = "sha256:5c3932f4436d1cccb036cb0eaef46e6e2db91035166f1ad6505c3c9d5a635920", size = 832984, upload-time = "2026-05-04T22:59:38.133Z" }
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