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.
109 lines
3.2 KiB
Python
109 lines
3.2 KiB
Python
from __future__ import annotations
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from prometheus_client import Counter, Histogram, Gauge
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IMPORT_DURATION = Histogram(
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"calminer_import_duration_seconds",
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"Duration of import preview and commit operations",
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labelnames=("dataset", "action", "status"),
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)
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IMPORT_TOTAL = Counter(
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"calminer_import_total",
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"Count of import operations",
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labelnames=("dataset", "action", "status"),
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)
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EXPORT_DURATION = Histogram(
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"calminer_export_duration_seconds",
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"Duration of export operations",
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labelnames=("dataset", "status", "format"),
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)
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EXPORT_TOTAL = Counter(
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"calminer_export_total",
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"Count of export operations",
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labelnames=("dataset", "status", "format"),
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)
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# General performance metrics
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REQUEST_DURATION = Histogram(
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"calminer_request_duration_seconds",
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"Duration of HTTP requests",
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labelnames=("method", "endpoint", "status"),
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)
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REQUEST_TOTAL = Counter(
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"calminer_request_total",
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"Count of HTTP requests",
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labelnames=("method", "endpoint", "status"),
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)
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ACTIVE_CONNECTIONS = Gauge(
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"calminer_active_connections",
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"Number of active connections",
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)
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DB_CONNECTIONS = Gauge(
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"calminer_db_connections",
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"Number of database connections",
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)
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# Business metrics
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PROJECT_OPERATIONS = Counter(
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"calminer_project_operations_total",
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"Count of project operations",
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labelnames=("operation", "status"),
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)
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SCENARIO_OPERATIONS = Counter(
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"calminer_scenario_operations_total",
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"Count of scenario operations",
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labelnames=("operation", "status"),
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)
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SIMULATION_RUNS = Counter(
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"calminer_simulation_runs_total",
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"Count of Monte Carlo simulation runs",
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labelnames=("status",),
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)
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SIMULATION_DURATION = Histogram(
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"calminer_simulation_duration_seconds",
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"Duration of Monte Carlo simulations",
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labelnames=("status",),
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)
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def observe_import(action: str, dataset: str, status: str, seconds: float) -> None:
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IMPORT_TOTAL.labels(dataset=dataset, action=action, status=status).inc()
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IMPORT_DURATION.labels(dataset=dataset, action=action,
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status=status).observe(seconds)
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def observe_export(dataset: str, status: str, export_format: str, seconds: float) -> None:
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EXPORT_TOTAL.labels(dataset=dataset, status=status,
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format=export_format).inc()
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EXPORT_DURATION.labels(dataset=dataset, status=status,
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format=export_format).observe(seconds)
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def observe_request(method: str, endpoint: str, status: int, seconds: float) -> None:
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REQUEST_TOTAL.labels(method=method, endpoint=endpoint, status=status).inc()
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REQUEST_DURATION.labels(method=method, endpoint=endpoint,
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status=status).observe(seconds)
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def observe_project_operation(operation: str, status: str = "success") -> None:
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PROJECT_OPERATIONS.labels(operation=operation, status=status).inc()
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def observe_scenario_operation(operation: str, status: str = "success") -> None:
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SCENARIO_OPERATIONS.labels(operation=operation, status=status).inc()
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def observe_simulation(status: str, duration_seconds: float) -> None:
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SIMULATION_RUNS.labels(status=status).inc()
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SIMULATION_DURATION.labels(status=status).observe(duration_seconds)
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