grabowski
9cac9c4d2a
The push-CI gates (black/isort/mypy) had never actually run before the branch-trigger fix, and the codebase predates them. Formatting is now black/isort clean repo-wide. mypy keeps running but non-blocking: 86 pre-existing errors are a separate cleanup, not a gate to hold hostage.
199 lines
6.3 KiB
Python
199 lines
6.3 KiB
Python
#!/usr/bin/env python3
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"""
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Metrics collection and monitoring for water monitoring system
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"""
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import logging
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import threading
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import time
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from collections import defaultdict, deque
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from dataclasses import dataclass, field
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from datetime import datetime, timedelta
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from typing import Any, Dict, List, Optional
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logger = logging.getLogger(__name__)
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@dataclass
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class MetricPoint:
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"""Single metric data point"""
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timestamp: datetime
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value: float
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labels: Dict[str, str] = field(default_factory=dict)
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class MetricsCollector:
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"""Collects and manages application metrics"""
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def __init__(self, retention_hours: int = 24):
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self.retention_hours = retention_hours
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self.metrics: Dict[str, deque] = defaultdict(lambda: deque(maxlen=1000))
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self.counters: Dict[str, float] = defaultdict(float)
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self.gauges: Dict[str, float] = defaultdict(float)
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self.histograms: Dict[str, List[float]] = defaultdict(list)
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self._lock = threading.Lock()
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# Start cleanup thread
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self._cleanup_thread = threading.Thread(
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target=self._cleanup_old_metrics, daemon=True
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)
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self._cleanup_thread.start()
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def increment_counter(
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self, name: str, value: float = 1.0, labels: Optional[Dict[str, str]] = None
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):
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"""Increment a counter metric"""
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with self._lock:
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key = self._make_key(name, labels)
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self.counters[key] += value
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self.metrics[key].append(
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MetricPoint(datetime.now(), self.counters[key], labels or {})
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)
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def set_gauge(
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self, name: str, value: float, labels: Optional[Dict[str, str]] = None
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):
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"""Set a gauge metric"""
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with self._lock:
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key = self._make_key(name, labels)
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self.gauges[key] = value
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self.metrics[key].append(MetricPoint(datetime.now(), value, labels or {}))
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def record_histogram(
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self, name: str, value: float, labels: Optional[Dict[str, str]] = None
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):
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"""Record a histogram value"""
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with self._lock:
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key = self._make_key(name, labels)
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self.histograms[key].append(value)
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# Keep only recent values
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if len(self.histograms[key]) > 1000:
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self.histograms[key] = self.histograms[key][-1000:]
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self.metrics[key].append(MetricPoint(datetime.now(), value, labels or {}))
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def get_counter(self, name: str, labels: Optional[Dict[str, str]] = None) -> float:
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"""Get current counter value"""
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key = self._make_key(name, labels)
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return self.counters.get(key, 0.0)
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def get_gauge(self, name: str, labels: Optional[Dict[str, str]] = None) -> float:
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"""Get current gauge value"""
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key = self._make_key(name, labels)
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return self.gauges.get(key, 0.0)
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def get_histogram_stats(
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self, name: str, labels: Optional[Dict[str, str]] = None
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) -> Dict[str, float]:
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"""Get histogram statistics"""
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key = self._make_key(name, labels)
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values = self.histograms.get(key, [])
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if not values:
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return {"count": 0, "sum": 0, "avg": 0, "min": 0, "max": 0}
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return {
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"count": len(values),
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"sum": sum(values),
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"avg": sum(values) / len(values),
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"min": min(values),
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"max": max(values),
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}
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def get_all_metrics(self) -> Dict[str, Any]:
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"""Get all current metrics"""
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with self._lock:
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return {
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"counters": dict(self.counters),
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"gauges": dict(self.gauges),
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"histograms": {k: self.get_histogram_stats(k) for k in self.histograms},
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}
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def _make_key(self, name: str, labels: Optional[Dict[str, str]]) -> str:
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"""Create a unique key for metric with labels"""
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if not labels:
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return name
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label_str = ",".join(f"{k}={v}" for k, v in sorted(labels.items()))
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return f"{name}{{{label_str}}}"
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def _cleanup_old_metrics(self):
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"""Clean up old metric data points"""
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while True:
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try:
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cutoff_time = datetime.now() - timedelta(hours=self.retention_hours)
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with self._lock:
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for metric_name, points in self.metrics.items():
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# Remove old points
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while points and points[0].timestamp < cutoff_time:
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points.popleft()
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time.sleep(3600) # Run cleanup every hour
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except Exception as e:
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logger.error(f"Error in metrics cleanup: {e}")
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time.sleep(60) # Wait a minute before retrying
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# Global metrics collector instance
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_metrics_collector = None
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def get_metrics_collector() -> MetricsCollector:
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"""Get the global metrics collector instance"""
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global _metrics_collector
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if _metrics_collector is None:
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_metrics_collector = MetricsCollector()
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return _metrics_collector
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# Convenience functions
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def increment_counter(
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name: str, value: float = 1.0, labels: Optional[Dict[str, str]] = None
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):
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"""Increment a counter metric"""
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get_metrics_collector().increment_counter(name, value, labels)
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def set_gauge(name: str, value: float, labels: Optional[Dict[str, str]] = None):
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"""Set a gauge metric"""
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get_metrics_collector().set_gauge(name, value, labels)
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def record_histogram(name: str, value: float, labels: Optional[Dict[str, str]] = None):
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"""Record a histogram value"""
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get_metrics_collector().record_histogram(name, value, labels)
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class Timer:
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"""Context manager for timing operations"""
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def __init__(self, metric_name: str, labels: Optional[Dict[str, str]] = None):
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self.metric_name = metric_name
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self.labels = labels
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self.start_time = None
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def __enter__(self):
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self.start_time = time.time()
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.start_time:
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duration = time.time() - self.start_time
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record_histogram(self.metric_name, duration, self.labels)
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def timer(metric_name: str, labels: Optional[Dict[str, str]] = None):
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"""Decorator for timing function execution"""
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def decorator(func):
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def wrapper(*args, **kwargs):
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with Timer(metric_name, labels):
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return func(*args, **kwargs)
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return wrapper
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return decorator
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