feat: Enhance project and scenario creation with monitoring metrics

- Added monitoring metrics for project creation success and error handling in `ProjectRepository`.
- Implemented similar monitoring for scenario creation in `ScenarioRepository`.
- Refactored `run_monte_carlo` function in `simulation.py` to include timing and success/error metrics.
- Introduced new CSS styles for headers, alerts, and navigation buttons in `main.css` and `projects.css`.
- Created a new JavaScript file for navigation logic to handle chevron buttons.
- Updated HTML templates to include new navigation buttons and improved styling for buttons.
- Added tests for reporting service and routes to ensure proper functionality and access control.
- Removed unused imports and optimized existing test files for better clarity and performance.

middleware/metrics.py

@@ -0,0 +1,58 @@
+from __future__ import annotations
+
+import time
+from typing import Callable
+
+from fastapi import BackgroundTasks, Request, Response
+from starlette.middleware.base import BaseHTTPMiddleware
+
+from monitoring.metrics import observe_request
+from services.metrics import get_metrics_service
+
+
+class MetricsMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next: Callable[[Request], Response]) -> Response:
+        start_time = time.time()
+        response = await call_next(request)
+        process_time = time.time() - start_time
+
+        observe_request(
+            method=request.method,
+            endpoint=request.url.path,
+            status=response.status_code,
+            seconds=process_time,
+        )
+
+        # Store in database asynchronously
+        background_tasks = getattr(request.state, "background_tasks", None)
+        if background_tasks:
+            background_tasks.add_task(
+                store_request_metric,
+                method=request.method,
+                endpoint=request.url.path,
+                status_code=response.status_code,
+                duration_seconds=process_time,
+            )
+
+        return response
+
+
+async def store_request_metric(
+    method: str, endpoint: str, status_code: int, duration_seconds: float
+) -> None:
+    """Store request metric in database."""
+    try:
+        service = get_metrics_service()
+        service.store_metric(
+            metric_name="http_request",
+            value=duration_seconds,
+            labels={"method": method, "endpoint": endpoint,
+                    "status": status_code},
+            endpoint=endpoint,
+            method=method,
+            status_code=status_code,
+            duration_seconds=duration_seconds,
+        )
+    except Exception:
+        # Log error but don't fail the request
+        pass