Update app.py

app.py

@@ -1,5 +1,5 @@
 # ==============================================================================
-# 🚀 app.py (V61.2 - GEM-Architect: Full Diagnostics Restored)
+# 🚀 app.py (V61.3 - GEM-Architect: Full Neural Dashboard Restored)
 # ==============================================================================
 
 import os
@@ -182,7 +182,7 @@ async def auto_pilot_loop():
 async def lifespan(app: FastAPI):
     global r2, data_manager, ml_processor, adaptive_hub, trade_manager, whale_monitor, news_fetcher, senti_analyzer, sys_state, scheduler
     
-    logger.info("\n🚀 [System] Startup Sequence (Titan V61.2 - Full Diagnostics)...")
+    logger.info("\n🚀 [System] Startup Sequence (Titan V61.3 - Full Check)...")
     try:
         r2 = R2Service()
         data_manager = DataManager(contracts_db={}, whale_monitor=None, r2_service=r2)
@@ -256,14 +256,13 @@ async def _analyze_symbol_task(candidate_data: Dict[str, Any]) -> Dict[str, Any]
             'dynamic_limits': candidate_data.get('dynamic_limits', {}),
             'asset_regime': candidate_data.get('asset_regime', 'UNKNOWN'),
             'strategy_tag': candidate_data.get('strategy_tag', 'NONE'),
-            'strategy_type': candidate_data.get('strategy_type', 'NORMAL'), # Passing Type
+            'strategy_type': candidate_data.get('strategy_type', 'NORMAL'), 
             'l1_score': candidate_data.get('l1_sort_score', 0)
         }
         
         res = await ml_processor.process_compound_signal(raw_data)
         if not res: return None
         
-        # Pass Type Forward
         res['strategy_type'] = candidate_data.get('strategy_type', 'NORMAL')
         return res
     except Exception: return None
@@ -360,7 +359,7 @@ async def run_unified_cycle():
 
         approved_signals = []
         
-        # ✅ FIX: إعادة عرض الجدول التفصيلي كاملاً مع إضافة العمود الجديد (TYPE)
+        # ✅ TABLE HEADER UPDATED
         header = (f"{'SYM':<9} | {'TYPE':<10} | {'L2':<5} | {'TITAN':<5} | {'PATT':<5} | "
                   f"{'WHALE':<6} | {'MC(A)':<6} | {'FINAL':<6} | {'ORACLE':<6} | {'STATUS'}")
         
@@ -647,7 +646,8 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
         
         metrics = scheduler.get_status_metrics() if scheduler else {}
         sch_w_time = metrics.get("weekly_timer", "Wait")
-        sch_w_cnt = metrics.get("weekly_count", 0)
+        # ✅ RESTORED MONTHLY METRICS
+        sch_m_time = metrics.get("monthly_timer", "Wait")
 
         neural_md = f"""
         <div style='background-color: #1a1a1a; padding: 10px; border-radius: 8px; border: 1px solid #333; font-size: 12px; margin-top: 10px;'>
@@ -661,6 +661,10 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
                     <td style='padding:4px 0;'>📅 Weekly Tune:</td>
                     <td style='text-align:right; color:#fff;'>{sch_w_time}</td>
                 </tr>
+                <tr>
+                    <td style='padding:4px 0;'>🗓️ Monthly Evo:</td>
+                    <td style='text-align:right; color:#fff;'>{sch_m_time}</td>
+                </tr>
             </table>
         </div>
         """
@@ -679,7 +683,7 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
         
         diag_df = pd.DataFrame(diag_list, columns=["Model", "Wins", "Losses", "PnL (USD)"])
 
-        # ✅ NEW: Type Stats DataFrame
+        # Type Stats DataFrame
         type_stats_list = []
         if trade_manager and hasattr(trade_manager, 'type_stats'):
             for t_name, t_data in trade_manager.type_stats.items():
@@ -688,8 +692,6 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
                 losses = t_data.get('losses', 0)
                 prof = t_data.get('profit_usd', 0.0)
                 loss_val = t_data.get('loss_usd', 0.0)
-                
-                # Format: +$Profit / -$Loss
                 profitability_html = format_pnl_split(prof, loss_val)
                 type_stats_list.append([name_clean, wins, losses, profitability_html])
         
@@ -744,10 +746,10 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
 def create_gradio_ui():
     custom_css = ".gradio-container {background:#0b0f19} .dataframe {background:#1a1a1a!important} .html-box {min-height:180px}"
     
-    with gr.Blocks(title="Titan V61.2 (Dual-Type Dashboard)") as demo:
+    with gr.Blocks(title="Titan V61.3 (Full Neural Dashboard)") as demo:
         gr.HTML(f"<style>{custom_css}</style>")
         
-        gr.Markdown("# 🚀 Titan V61.2 (Cybernetic: Dual-Type Engine)")
+        gr.Markdown("# 🚀 Titan V61.3 (Cybernetic: Dual-Type Engine)")
         
         with gr.Row():
             with gr.Column(scale=3):
@@ -764,7 +766,7 @@ def create_gradio_ui():
                 wallet_out = gr.HTML(label="Smart Wallet", elem_classes="html-box")
                 neural_out = gr.HTML(label="Neural Cycles", elem_classes="html-box")
                 
-                # ✅ NEW: Type Stats Table
+                # Type Stats Table
                 gr.Markdown("### 💎 Opportunity Types")
                 type_stats_out = gr.Dataframe(
                     headers=["Coin Type", "Wins", "Losses", "Profitability"],
@@ -829,7 +831,6 @@ def create_gradio_ui():
         btn_reset_diag.click(fn=reset_diagnostics_handler, outputs=alert)
         btn_reset_guard.click(fn=reset_guardians_handler, outputs=alert)
         
-        # Added type_stats_out to outputs
         gr.Timer(3).tick(fn=check_live_pnl_and_status, inputs=stats_dd, 
                          outputs=[logs, status, live_chart, t_price, t_entry, t_tp, t_sl, t_pnl, watchlist_out, diagnostic_out, type_stats_out, wallet_out, history_out, neural_out])
     return demo