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.

models/__init__.py

@@ -11,6 +11,7 @@ from .metadata import (
     StochasticVariable,
     StochasticVariableDescriptor,
 )
+from .performance_metric import PerformanceMetric
 from .pricing_settings import (
     PricingImpuritySettings,
     PricingMetalSettings,
@@ -45,4 +46,5 @@ __all__ = [
     "Role",
     "UserRole",
     "password_context",
+    "PerformanceMetric",
 ]

models/financial_input.py

@@ -16,17 +16,6 @@ from sqlalchemy import (
 )
 from sqlalchemy.orm import Mapped, mapped_column, relationship, validates
 
-from sqlalchemy import (
-    Date,
-    DateTime,
-    Enum as SQLEnum,
-    ForeignKey,
-    Integer,
-    Numeric,
-    String,
-    Text,
-)
-from sqlalchemy.orm import Mapped, mapped_column, relationship
 from sqlalchemy.sql import func
 
 from config.database import Base

models/import_export_log.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from datetime import datetime
 
 from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, Text
 from sqlalchemy.sql import func

models/performance_metric.py

@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import Column, DateTime, Float, Integer, String
+from sqlalchemy.ext.declarative import declarative_base
+
+Base = declarative_base()
+
+
+class PerformanceMetric(Base):
+    __tablename__ = "performance_metrics"
+
+    id = Column(Integer, primary_key=True, index=True)
+    timestamp = Column(DateTime, default=datetime.utcnow, index=True)
+    metric_name = Column(String, index=True)
+    value = Column(Float)
+    labels = Column(String)  # JSON string of labels
+    endpoint = Column(String, index=True, nullable=True)
+    method = Column(String, nullable=True)
+    status_code = Column(Integer, nullable=True)
+    duration_seconds = Column(Float, nullable=True)
+
+    def __repr__(self) -> str:
+        return f"<PerformanceMetric(id={self.id}, name={self.metric_name}, value={self.value})>"