Update app.py

app.py

@@ -1,5 +1,5 @@
 # ==============================================================================
-# 🚀 app.py (V38.0 - GEM-Architect: Diagnostic Matrix Integration)
+# 🚀 app.py (V38.1 - GEM-Architect: Colored Diagnostics)
 # ==============================================================================
 
 import os
@@ -190,7 +190,7 @@ 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 V38.0 - Diagnostics)...")
+    logger.info("\n🚀 [System] Startup Sequence (Titan V38.1 - Colored Diagnostics)...")
     try:
         # 1. الخدمات الأساسية
         r2 = R2Service()
@@ -536,7 +536,6 @@ async def reset_diagnostics_handler():
 # 🔥 زر تصفير إحصائيات الحراس
 async def reset_guardians_handler():
     await r2.reset_guardian_stats_async()
-    # تحديث الذاكرة المحلية لمدير التجارة لتنعكس التغييرات فوراً
     if trade_manager:
         trade_manager.ai_stats = await r2.get_guardian_stats_async()
     return "✅ Guardian Stats Reset."
@@ -551,7 +550,7 @@ async def run_cycle_from_gradio():
     return "🚀 Launched."
 
 # ------------------------------------------------------------------------------
-# UI Updates (Updated for Diagnostics)
+# UI Updates (Updated for Diagnostics Coloring)
 # ------------------------------------------------------------------------------
 async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
     empty_chart = go.Figure()
@@ -743,18 +742,24 @@ async def check_live_pnl_and_status(selected_view="Dual-Core (Hybrid)"):
         </div>
         """
         
-        # 🔥 جلب بيانات مصفوفة التشخيص (Diagnostic Matrix)
+        # 🔥 جلب بيانات مصفوفة التشخيص وتلوينها
         diag_data = await r2.get_diagnostic_stats_async()
         diag_list = []
         ordered_models = ["Titan", "Patterns", "Oracle", "Sniper", "MonteCarlo_L", "MonteCarlo_A", "Governance"]
         
         for m in ordered_models:
             stats = diag_data.get(m, {"wins": 0, "losses": 0, "pnl": 0.0})
+            pnl_val = stats['pnl']
+            
+            # 🎨 التلوين: أخضر للربح، أحمر للخسارة
+            color = "#00ff00" if pnl_val >= 0 else "#ff0000"
+            pnl_str = f"<span style='color: {color}; font-weight: bold;'>${pnl_val:+.2f}</span>"
+            
             diag_list.append([
                 m, 
                 stats['wins'], 
                 stats['losses'], 
-                f"${stats['pnl']:.2f}"
+                pnl_str
             ])
         
         diag_df = pd.DataFrame(diag_list, columns=["Model", "Wins", "Losses", "PnL (USD)"])
@@ -809,10 +814,10 @@ 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 V38.0 (Neural Dashboard)") as demo:
+    with gr.Blocks(title="Titan V38.1 (Neural Dashboard)") as demo:
         gr.HTML(f"<style>{custom_css}</style>")
         
-        gr.Markdown("# 🚀 Titan V38.0 (Cybernetic: Neural Dashboard)")
+        gr.Markdown("# 🚀 Titan V38.1 (Cybernetic: Neural Dashboard)")
         
         with gr.Row():
             with gr.Column(scale=3):
@@ -829,11 +834,11 @@ 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")
                 
-                # 🔥 إضافة مصفوفة التشخيص الجديدة
+                # 🔥 إضافة مصفوفة التشخيص الجديدة مع دعم HTML للألوان
                 gr.Markdown("### 🕵️ Diagnostic Matrix")
                 diagnostic_out = gr.Dataframe(
                     headers=["Model", "Wins", "Losses", "PnL (USD)"],
-                    datatype=["str", "number", "number", "str"],
+                    datatype=["str", "number", "number", "html"], # ✅ html لتفعيل الألوان
                     interactive=False,
                     label="Model Performance"
                 )