zwitschi
ce9c174b53
- 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.
27 lines
897 B
Python
27 lines
897 B
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import Column, DateTime, Float, Integer, String
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from sqlalchemy.ext.declarative import declarative_base
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Base = declarative_base()
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class PerformanceMetric(Base):
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__tablename__ = "performance_metrics"
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id = Column(Integer, primary_key=True, index=True)
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timestamp = Column(DateTime, default=datetime.utcnow, index=True)
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metric_name = Column(String, index=True)
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value = Column(Float)
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labels = Column(String) # JSON string of labels
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endpoint = Column(String, index=True, nullable=True)
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method = Column(String, nullable=True)
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status_code = Column(Integer, nullable=True)
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duration_seconds = Column(Float, nullable=True)
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def __repr__(self) -> str:
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return f"<PerformanceMetric(id={self.id}, name={self.metric_name}, value={self.value})>"
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