- Updated all OpenTelemetry packages to latest versions: - opentelemetry-api: 1.27.0 → 1.39.1 - opentelemetry-sdk: 1.27.0 → 1.39.1 - opentelemetry-exporter-otlp-proto-grpc: 1.27.0 → 1.39.1 - opentelemetry-exporter-otlp-proto-http: 1.27.0 → 1.39.1 - opentelemetry-instrumentation-fastapi: 0.48b0 → 0.60b1 - opentelemetry-instrumentation-httpx: 0.48b0 → 0.60b1 - opentelemetry-instrumentation-redis: 0.48b0 → 0.60b1 - opentelemetry-instrumentation-sqlalchemy: 0.48b0 → 0.60b1 - Removed prometheus-client==0.23.1 from all services - Unified all services to use the same monitoring package versions Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
360 lines
13 KiB
Python
Executable File
360 lines
13 KiB
Python
Executable File
"""
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OpenTelemetry Metrics Collection for Microservices
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Replaces Prometheus with native OpenTelemetry metrics export to SigNoz
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"""
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import time
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import logging
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import structlog
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from typing import Dict, Any, Optional
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from opentelemetry import metrics
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from opentelemetry.sdk.metrics import MeterProvider
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from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
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from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
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from opentelemetry.sdk.resources import Resource, SERVICE_NAME, SERVICE_VERSION
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from fastapi import Request, Response
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from threading import Lock
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import os
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logger = structlog.get_logger()
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# Global registry for metrics collectors
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_metrics_registry: Dict[str, 'MetricsCollector'] = {}
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_registry_lock = Lock()
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class MetricsCollector:
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"""
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OpenTelemetry-based metrics collector for microservices.
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Exports metrics directly to SigNoz via OTLP (no Prometheus).
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"""
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def __init__(
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self,
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service_name: str,
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service_version: str = "1.0.0",
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meter_provider: Optional[MeterProvider] = None
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):
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self.service_name = service_name
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self.service_version = service_version
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self.start_time = time.time()
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# Use provided meter provider or get global
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if meter_provider:
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self.meter = meter_provider.get_meter(__name__)
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else:
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self.meter = metrics.get_meter(__name__)
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# Store created instruments
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self._counters: Dict[str, Any] = {}
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self._histograms: Dict[str, Any] = {}
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self._up_down_counters: Dict[str, Any] = {}
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self._lock = Lock()
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# Register in global registry
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with _registry_lock:
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_metrics_registry[service_name] = self
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# Create default HTTP metrics
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self._setup_default_metrics()
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logger.info(
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"OpenTelemetry metrics collector initialized",
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service=service_name
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)
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def _setup_default_metrics(self):
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"""Setup default HTTP metrics"""
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self._counters["http_requests_total"] = self.meter.create_counter(
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name=f"{self.service_name.replace('-', '_')}_http_requests_total",
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description="Total HTTP requests",
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unit="requests"
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)
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self._histograms["http_request_duration"] = self.meter.create_histogram(
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name=f"{self.service_name.replace('-', '_')}_http_request_duration_seconds",
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description="HTTP request duration in seconds",
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unit="s"
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)
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self._up_down_counters["active_requests"] = self.meter.create_up_down_counter(
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name=f"{self.service_name.replace('-', '_')}_active_requests",
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description="Number of active HTTP requests",
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unit="requests"
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)
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def register_counter(self, name: str, documentation: str, labels: list = None) -> Any:
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"""Register a custom Counter metric"""
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with self._lock:
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if name in self._counters:
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logger.warning(f"Counter '{name}' already registered for {self.service_name}")
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return self._counters[name]
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try:
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counter = self.meter.create_counter(
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name=f"{self.service_name.replace('-', '_')}_{name}",
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description=documentation,
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unit="1"
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)
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self._counters[name] = counter
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logger.info(f"Registered counter: {name} for {self.service_name}")
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return counter
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except Exception as e:
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logger.error(f"Failed to register counter {name} for {self.service_name}: {e}")
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raise
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def register_histogram(
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self,
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name: str,
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documentation: str,
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labels: list = None,
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buckets: tuple = None
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) -> Any:
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"""Register a custom Histogram metric"""
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with self._lock:
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if name in self._histograms:
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logger.warning(f"Histogram '{name}' already registered for {self.service_name}")
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return self._histograms[name]
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try:
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histogram = self.meter.create_histogram(
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name=f"{self.service_name.replace('-', '_')}_{name}",
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description=documentation,
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unit="1"
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)
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self._histograms[name] = histogram
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logger.info(f"Registered histogram: {name} for {self.service_name}")
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return histogram
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except Exception as e:
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logger.error(f"Failed to register histogram {name} for {self.service_name}: {e}")
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raise
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def register_gauge(self, name: str, documentation: str, labels: list = None) -> Any:
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"""Register a custom Gauge metric (using UpDownCounter)"""
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with self._lock:
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if name in self._up_down_counters:
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logger.warning(f"Gauge '{name}' already registered for {self.service_name}")
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return self._up_down_counters[name]
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try:
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gauge = self.meter.create_up_down_counter(
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name=f"{self.service_name.replace('-', '_')}_{name}",
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description=documentation,
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unit="1"
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)
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self._up_down_counters[name] = gauge
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logger.info(f"Registered gauge: {name} for {self.service_name}")
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return gauge
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except Exception as e:
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logger.error(f"Failed to register gauge {name} for {self.service_name}: {e}")
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raise
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def increment_counter(self, name: str, value: int = 1, labels: Dict[str, str] = None):
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"""Increment a counter metric"""
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if name not in self._counters:
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logger.error(f"Counter '{name}' not registered for {self.service_name}")
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return
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if labels is None:
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labels = {"service": self.service_name}
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elif "service" not in labels:
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labels["service"] = self.service_name
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try:
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self._counters[name].add(value, labels)
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except Exception as e:
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logger.error(f"Failed to increment counter {name} for {self.service_name}: {e}")
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def observe_histogram(self, name: str, value: float, labels: Dict[str, str] = None):
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"""Observe a histogram metric"""
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if name not in self._histograms:
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logger.error(f"Histogram '{name}' not registered for {self.service_name}")
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return
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if labels is None:
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labels = {"service": self.service_name}
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elif "service" not in labels:
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labels["service"] = self.service_name
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try:
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self._histograms[name].record(value, labels)
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except Exception as e:
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logger.error(f"Failed to observe histogram {name} for {self.service_name}: {e}")
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def set_gauge(self, name: str, value: float, labels: Dict[str, str] = None):
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"""Set a gauge metric (using add for UpDownCounter)"""
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if name not in self._up_down_counters:
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logger.error(f"Gauge '{name}' not registered for {self.service_name}")
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return
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if labels is None:
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labels = {"service": self.service_name}
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elif "service" not in labels:
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labels["service"] = self.service_name
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try:
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# For UpDownCounter, we need to track the delta
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# Store current value and calculate delta
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key = f"{name}_{str(sorted(labels.items()))}"
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if not hasattr(self, '_gauge_values'):
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self._gauge_values = {}
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old_value = self._gauge_values.get(key, 0)
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delta = value - old_value
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self._gauge_values[key] = value
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self._up_down_counters[name].add(delta, labels)
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except Exception as e:
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logger.error(f"Failed to set gauge {name} for {self.service_name}: {e}")
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def record_request(self, method: str, endpoint: str, status_code: int, duration: float):
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"""Record HTTP request metrics"""
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try:
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attributes = {
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"service": self.service_name,
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"http.method": method,
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"http.route": endpoint,
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"http.status_code": str(status_code)
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}
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self._counters["http_requests_total"].add(1, attributes)
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self._histograms["http_request_duration"].record(duration, attributes)
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except Exception as e:
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logger.error(f"Failed to record request metrics for {self.service_name}: {e}")
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def increment_active_requests(self):
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"""Increment active request counter"""
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try:
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self._up_down_counters["active_requests"].add(1, {"service": self.service_name})
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except Exception as e:
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logger.error(f"Failed to increment active requests: {e}")
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def decrement_active_requests(self):
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"""Decrement active request counter"""
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try:
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self._up_down_counters["active_requests"].add(-1, {"service": self.service_name})
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except Exception as e:
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logger.error(f"Failed to decrement active requests: {e}")
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def set_active_connections(self, count: int):
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"""Set active database connections"""
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self.set_gauge("active_connections", count)
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def get_metrics_collector(service_name: str) -> Optional[MetricsCollector]:
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"""Get metrics collector by service name from global registry"""
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with _registry_lock:
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return _metrics_registry.get(service_name)
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def create_metrics_collector(
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service_name: str,
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service_version: str = "1.0.0",
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meter_provider: Optional[MeterProvider] = None
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) -> MetricsCollector:
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"""
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Create metrics collector.
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This should be called BEFORE app startup, not during lifespan.
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"""
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# Get existing or create new
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existing = get_metrics_collector(service_name)
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if existing:
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return existing
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return MetricsCollector(service_name, service_version, meter_provider)
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def add_metrics_middleware(app, metrics_collector: MetricsCollector):
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"""
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Add metrics middleware to app. Must be called BEFORE app startup.
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"""
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@app.middleware("http")
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async def metrics_middleware(request: Request, call_next):
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# Increment active requests
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metrics_collector.increment_active_requests()
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start_time = time.time()
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try:
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response = await call_next(request)
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duration = time.time() - start_time
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# Record request metrics
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metrics_collector.record_request(
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method=request.method,
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endpoint=request.url.path,
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status_code=response.status_code,
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duration=duration
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)
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# Decrement active requests
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metrics_collector.decrement_active_requests()
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return response
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except Exception as e:
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duration = time.time() - start_time
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# Record failed request
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metrics_collector.record_request(
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method=request.method,
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endpoint=request.url.path,
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status_code=500,
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duration=duration
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)
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# Decrement active requests
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metrics_collector.decrement_active_requests()
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raise
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return metrics_collector
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def setup_metrics_early(
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app,
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service_name: str = None,
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service_version: str = "1.0.0",
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meter_provider: Optional[MeterProvider] = None
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) -> MetricsCollector:
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"""
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Setup metrics collection BEFORE app startup.
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This must be called before adding any middleware or starting the app.
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Note: No Prometheus endpoint is created - all metrics go to SigNoz via OTLP
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"""
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if service_name is None:
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service_name = getattr(app, 'title', 'unknown-service').lower().replace(' ', '-').replace('.', '_')
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# Create metrics collector
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metrics_collector = create_metrics_collector(service_name, service_version, meter_provider)
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# Add middleware (must be before app starts)
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add_metrics_middleware(app, metrics_collector)
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# Store in app state for access from routes
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app.state.metrics_collector = metrics_collector
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logger.info(f"OpenTelemetry metrics setup completed for service: {service_name}")
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return metrics_collector
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# Helper function for endpoint tracking (kept for backward compatibility)
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def track_endpoint_metrics(endpoint_name: str = None, service_name: str = None):
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"""Decorator for tracking endpoint metrics - metrics handled by middleware"""
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def decorator(func):
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import asyncio
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from functools import wraps
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@wraps(func)
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async def async_wrapper(*args, **kwargs):
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return await func(*args, **kwargs)
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@wraps(func)
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def sync_wrapper(*args, **kwargs):
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return func(*args, **kwargs)
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# Return appropriate wrapper based on function type
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if asyncio.iscoroutinefunction(func):
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return async_wrapper
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else:
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return sync_wrapper
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return decorator
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