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calminer/middleware/metrics.py
zwitschi ce9c174b53
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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.
2025-11-12 10:36:24 +01:00

59 lines
1.8 KiB
Python

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