Refactor: Integrate backend API and normalize data

This commit integrates the backend API for fetching and updating report data. It also includes a normalization function to handle data consistency between the API and local storage.

Co-authored-by: anthonymuncher <anthonymuncher@gmail.com>

backend/app/services/global_ai.py

@@ -0,0 +1,43 @@
+import os
+from app.services.ai_service import AIModelManager, AIService
+import logging
+import random
+from typing import Tuple
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+# ----------------------
+# Lazy-initialized AI service
+# ----------------------
+_ai_service: AIService = None
+
+def init_ai_service() -> AIService:
+    """Initializes the AI service if not already initialized."""
+    global _ai_service
+    if _ai_service is None:
+        logger.debug("Initializing AI service...")
+        try:
+            model_manager = AIModelManager()
+            _ai_service = AIService(model_manager)
+            logger.info("AI service ready.")
+        except Exception as e:
+            logger.warning(f"Failed to initialize AI service: {e}. Using mock service.")
+            # Create a mock AI service for now
+            _ai_service = MockAIService()
+    return _ai_service
+
+def get_ai_service() -> AIService:
+    """Returns the initialized AI service."""
+    return init_ai_service()
+
+# Mock AI service for testing when models can't be loaded
+class MockAIService:
+    def classify_category(self, image_path: str) -> str:
+        categories = ["pothole", "streetlight", "garbage", "signage", "drainage", "other"]
+        return random.choice(categories)
+
+    def detect_pothole_severity(self, image_path: str) -> Tuple[str, str]:
+        severities = ["High", "Medium", "Low"]
+        severity = random.choice(severities)
+        return severity, image_path  # Return same path as annotated path