fix: executive report roadmap truncation and markdown leaking

- executive_report.py: _extract_timeline_from_plan now strips **markdown**
via _clean_text() on title+desc, title capture expanded 80→200 chars,
added table-format detection for pipe-separated AI output
- agents.py: STW Strutturali prompt explicitly forbids MACRO 3/4+
- config.py: promote meta-llama/Llama-3.3-70B-Instruct to primary in
HF_MODEL_CHAIN (confirmed working on together provider)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

agents.py

@@ -644,7 +644,9 @@ Sei l'ANALISTA AREA STRUTTURALE STW. Redigi la sezione OBIETTIVI STRUTTURALI sec
   - Budget: [stima]
   - Beneficiari: [target]
 
-**REGOLE:**
+**REGOLE ASSOLUTE:**
+- Questa sezione ha ESATTAMENTE 2 MACRO (MACRO 1 e MACRO 2). NON aggiungere MACRO 3, MACRO 4 o altri obiettivi macro.
+- Finanziario e marketing NON appartengono a questa sezione.
 - Costi SEMPRE come range con fonte (es. "€50.000-80.000 - benchmark club simili")
 - Dati mancanti: `(dato da acquisire)`
 - Voce istituzionale

config.py

@@ -136,8 +136,8 @@ OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY", "")
 HF_TOKEN = os.environ.get("HF_TOKEN", "")
 HF_MODEL = os.environ.get("HF_MODEL", "Qwen/Qwen2.5-72B-Instruct")
 HF_MODEL_CHAIN = [
-    "Qwen/Qwen2.5-72B-Instruct",           # primary: 72B, multilingual, high quality
-    "meta-llama/Llama-3.3-70B-Instruct",   # 70B fallback, multilingual
+    "meta-llama/Llama-3.3-70B-Instruct",   # primary: confirmed working on together
+    "Qwen/Qwen2.5-72B-Instruct",           # 72B fallback, multilingual
     "Qwen/Qwen2.5-32B-Instruct",           # 32B fallback, fast
     "mistralai/Mistral-Nemo-Instruct-2407", # 12B, lightweight fallback
     "Qwen/Qwen2.5-7B-Instruct",            # 7B, last resort

executive_report.py

@@ -377,21 +377,31 @@ def _extract_timeline_from_plan(plan_data: Dict) -> list:
     for key in ['roadmap', 'piano_triennale', 'strategic_roadmap', 'timeline']:
         content = plan_data.get(key, '')
         if content and len(content) > 100:
+            # Formato markdown table: | Anno 1 | Titolo | Desc |
+            table_blocks = re.findall(
+                r'\|\s*(?:Anno|Year)\s*(\d)[^|]*\|\s*([^|\n]{5,120})\|(?:\s*([^|\n]{5,250})\|)?',
+                content, re.IGNORECASE
+            )
+            if len(table_blocks) >= 2:
+                return [(f'Y{b[0]}', _clean_text(b[1]), _clean_text(b[2] or '')) for b in table_blocks[:3]]
+
+            # Formato standard: Anno 1: Titolo\nDescrizione
             blocks = re.findall(
-                r'(?:Anno|Year)\s*(\d)[:\s\-–—]*([^\n]{5,80})(?:\n([^\n]{20,250}))?',
+                r'(?:Anno|Year)\s*(\d)[:\s\-–—]*([^\n]{5,200})(?:\n([^\n]{20,250}))?',
                 content, re.IGNORECASE
             )
             if len(blocks) >= 2:
-                return [(f'Y{b[0]}', b[1].strip(), (b[2] or '').strip()[:200]) for b in blocks[:3]]
+                return [(f'Y{b[0]}', _clean_text(b[1]), _clean_text((b[2] or '').strip())) for b in blocks[:3]]
+
     # Fallback: cerca nell'executive summary
     exec_s = plan_data.get('executive_summary', '') or plan_data.get('coordinator_summary', '')
     if exec_s:
         blocks = re.findall(
-            r'(?:Anno|Triennio|Year)\s*(\d)[:\s\-–—]*([^\n.]{10,80})',
+            r'(?:Anno|Triennio|Year)\s*(\d)[:\s\-–—]*([^\n.]{10,200})',
             exec_s, re.IGNORECASE
         )
         if len(blocks) >= 2:
-            return [(f'Y{b[0]}', b[1].strip(), '') for b in blocks[:3]]
+            return [(f'Y{b[0]}', _clean_text(b[1]), '') for b in blocks[:3]]
     return []