Upload 59 files

api_server_extended.py

@@ -110,7 +110,7 @@ def init_database():
 
     conn.commit()
     conn.close()
-    print(f"✓ Database initialized at {DB_PATH}")
+    print(f"[OK] Database initialized at {DB_PATH}")
 
 
 def save_price_to_db(price_data: Dict[str, Any]):
@@ -616,47 +616,47 @@ async def call_provider_safe(
 async def lifespan(app: FastAPI):
     """Application lifespan manager"""
     print("=" * 80)
-    print("🚀 Starting Crypto Monitor Admin API")
+    print("Starting Crypto Monitor Admin API")
     print("=" * 80)
     init_database()
     
     # Load providers
     config = load_providers_config()
     _provider_state["providers"] = config.get("providers", {})
-    print(f"✓ Loaded {len(_provider_state['providers'])} providers from config")
+    print(f"[OK] Loaded {len(_provider_state['providers'])} providers from config")
     
     # Load auto-discovery report
     apl_report = load_auto_discovery_report()
     if apl_report:
-        print(f"✓ Loaded auto-discovery report with validation data")
+        print(f"[OK] Loaded auto-discovery report with validation data")
     
     # Load API registry
     api_registry = load_api_registry()
     if api_registry:
         metadata = api_registry.get("metadata", {})
-        print(f"✓ Loaded API registry: {metadata.get('name', 'unknown')} v{metadata.get('version', 'unknown')}")
+        print(f"[OK] Loaded API registry: {metadata.get('name', 'unknown')} v{metadata.get('version', 'unknown')}")
     
     # Initialize AI models
     try:
         from ai_models import initialize_models, registry_status
         model_init_result = initialize_models()
         registry_info = registry_status()
-        print(f"✓ AI Models initialized: {model_init_result}")
-        print(f"✓ HF Registry status: {registry_info}")
+        print(f"[OK] AI Models initialized: {model_init_result}")
+        print(f"[OK] HF Registry status: {registry_info}")
     except Exception as e:
-        print(f"⚠ AI Models initialization failed: {e}")
+        print(f"[WARN] AI Models initialization failed: {e}")
     
     # Validate unified resources
     try:
         from backend.services.resource_validator import validate_unified_resources
         validation_report = validate_unified_resources(str(WORKSPACE_ROOT / "api-resources" / "crypto_resources_unified_2025-11-11.json"))
-        print(f"✓ Resource validation: {validation_report['local_backend_routes']['routes_count']} local routes")
+        print(f"[OK] Resource validation: {validation_report['local_backend_routes']['routes_count']} local routes")
         if validation_report['local_backend_routes']['duplicate_signatures'] > 0:
-            print(f"⚠ Found {validation_report['local_backend_routes']['duplicate_signatures']} duplicate route signatures")
+            print(f"[WARN] Found {validation_report['local_backend_routes']['duplicate_signatures']} duplicate route signatures")
     except Exception as e:
-        print(f"⚠ Resource validation failed: {e}")
+        print(f"[WARN] Resource validation failed: {e}")
     
-    print(f"✓ Server ready on port {PORT}")
+    print(f"[OK] Server ready on port {PORT}")
     print("=" * 80)
     yield
     print("Shutting down...")
@@ -3012,7 +3012,7 @@ async def fetch_and_save_news(limit: int = 50):
             conn.commit()
             conn.close()
             
-            logger.info(f"✅ Saved {saved_count} news articles to database")
+            logger.info(f"[OK] Saved {saved_count} news articles to database")
             
             return {
                 "success": True,