- Adding Prometheus and grafana services in development

- Adding Prometheus metrics to the business events
- Ensure asynchronous behaviour of crewai specialists.
- Adapt Business events to working in mixed synchronous / asynchronous contexts
- Extend business events with specialist information
- Started adding a grafana dashboard (TBC)
This commit is contained in:
Josako
2025-03-24 16:39:22 +01:00
parent 238bdb58f4
commit b6ee7182de
25 changed files with 1337 additions and 83 deletions

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import time
import threading
from contextlib import contextmanager
from functools import wraps
from prometheus_client import Counter, Histogram, Summary, start_http_server, Gauge
from flask import current_app, g, request, Flask
class EveAIMetrics:
"""
Central class for Prometheus metrics infrastructure.
This class initializes the Prometheus HTTP server and provides
shared functionality for metrics across components.
Component-specific metrics should be defined in their respective modules.
"""
def __init__(self, app: Flask = None):
self.app = app
self._metrics_server_started = False
if app is not None:
self.init_app(app)
def init_app(self, app: Flask):
"""Initialize metrics with Flask app and start Prometheus server"""
self.app = app
self._start_metrics_server()
def _start_metrics_server(self):
"""Start the Prometheus metrics HTTP server if not already running"""
if not self._metrics_server_started:
try:
metrics_port = self.app.config.get('PROMETHEUS_PORT', 8000)
start_http_server(metrics_port)
self.app.logger.info(f"Prometheus metrics server started on port {metrics_port}")
self._metrics_server_started = True
except Exception as e:
self.app.logger.error(f"Failed to start metrics server: {e}")
@staticmethod
def get_standard_buckets():
"""
Return the standard duration buckets for histogram metrics.
Components should use these for consistency across the system.
"""
return [0.1, 0.5, 1, 2.5, 5, 10, 15, 30, 60, 120, 240, 360, float('inf')]
@staticmethod
def sanitize_label_values(labels_dict):
"""
Convert all label values to strings as required by Prometheus.
Args:
labels_dict: Dictionary of label name to label value
Returns:
Dictionary with all values converted to strings
"""
return {k: str(v) if v is not None else "" for k, v in labels_dict.items()}