add labels to cpu and memory process metrics allowing to filter process by camera or detector
Rhys Bailey
parent
1deecf4797
commit
3943b72088
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@ -8,9 +8,9 @@ import sys
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import logging
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def add_metric(metric, label, data, key, multiplier=1.0):
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def add_metric(metric, label, stats, key, multiplier=1.0):
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try:
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string = str(data[key])
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string = str(stats[key])
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value = float(re.findall(r'\d+', string)[0])
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metric.add_metric([label], value * multiplier)
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except (KeyError, TypeError, IndexError):
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@ -21,40 +21,54 @@ class CustomCollector(object):
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def __init__(self, _url):
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self.url = _url
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self.process_stats = {}
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def add_metric_process(self, metric, stats, camera_name, pid_name, process_name, cpu_or_memory, process_type):
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try:
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pid = str(stats[camera_name][pid_name])
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label_values = [pid, camera_name, process_name, process_type]
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metric.add_metric(label_values, self.process_stats[pid][cpu_or_memory])
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del self.process_stats[pid][cpu_or_memory]
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except (KeyError, TypeError, IndexError):
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pass
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def collect(self):
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data = json.loads(urlopen(self.url).read())
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stats = json.loads(urlopen(self.url).read())
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self.process_stats = stats['cpu_usages']
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# process stats for cameras, detectors and other
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cpu_usages = GaugeMetricFamily('frigate_cpu_usage_percent', 'Process CPU usage %',
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labels=['pid', 'name', 'process', 'type'])
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mem_usages = GaugeMetricFamily('frigate_mem_usage_percent', 'Process memory usage %',
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labels=['pid', 'name', 'process', 'type'])
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# camera stats
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ffmpeg_pid = GaugeMetricFamily('frigate_ffmpeg_pid', 'PID for ffmpeg process', labels=['camera'])
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capture_pid = GaugeMetricFamily('frigate_capture_pid', 'PID for the ffmpeg process that consumes this camera',
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labels=['camera'])
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detect_pid = GaugeMetricFamily('frigate_detect_pid', 'PID for the process that runs detection for this camera',
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labels=['camera'])
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camera_fps = GaugeMetricFamily('frigate_camera_fps', 'Frames per second being consumed from your camera.',
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labels=['camera'])
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labels=['camera_name'])
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detection_fps = GaugeMetricFamily('frigate_detection_fps', 'Number of times detection is run per second.',
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labels=['camera'])
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labels=['camera_name'])
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process_fps = GaugeMetricFamily('frigate_process_fps', 'Frames per second being processed by frigate.',
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labels=['camera'])
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labels=['camera_name'])
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skipped_fps = GaugeMetricFamily('frigate_skipped_fps', 'Frames per second skip for processing by frigate.',
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labels=['camera'])
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labels=['camera_name'])
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detection_enabled = GaugeMetricFamily('frigate_detection_enabled', 'Detection enabled for camera',
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labels=['camera'])
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labels=['camera_name'])
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for k, d in data.items():
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add_metric(ffmpeg_pid, k, d, 'ffmpeg_pid')
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add_metric(detect_pid, k, d, 'pid')
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add_metric(capture_pid, k, d, 'capture_pid')
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add_metric(camera_fps, k, d, 'camera_fps')
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add_metric(detection_fps, k, d, 'detection_fps')
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add_metric(process_fps, k, d, 'process_fps')
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add_metric(skipped_fps, k, d, 'skipped_fps')
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add_metric(detection_enabled, k, d, 'detection_enabled')
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for camera_name, camera_stats in stats.items():
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add_metric(camera_fps, camera_name, camera_stats, 'camera_fps')
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add_metric(detection_fps, camera_name, camera_stats, 'detection_fps')
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add_metric(process_fps, camera_name, camera_stats, 'process_fps')
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add_metric(skipped_fps, camera_name, camera_stats, 'skipped_fps')
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add_metric(detection_enabled, camera_name, camera_stats, 'detection_enabled')
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self.add_metric_process(cpu_usages, stats, camera_name, 'ffmpeg_pid', 'ffmpeg', 'cpu', 'Camera')
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self.add_metric_process(cpu_usages, stats, camera_name, 'capture_pid', 'capture', 'cpu', 'Camera')
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self.add_metric_process(cpu_usages, stats, camera_name, 'pid', 'detect', 'cpu', 'Camera')
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self.add_metric_process(mem_usages, stats, camera_name, 'ffmpeg_pid', 'ffmpeg', 'mem', 'Camera')
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self.add_metric_process(mem_usages, stats, camera_name, 'capture_pid', 'capture', 'mem', 'Camera')
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self.add_metric_process(mem_usages, stats, camera_name, 'pid', 'detect', 'mem', 'Camera')
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yield ffmpeg_pid
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yield capture_pid
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yield detect_pid
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yield camera_fps
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yield detection_fps
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yield process_fps
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@ -65,38 +79,37 @@ class CustomCollector(object):
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try:
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yield GaugeMetricFamily('frigate_detection_total_fps',
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'Sum of detection_fps across all cameras and detectors.',
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value=data['detection_fps'])
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value=stats['detection_fps'])
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except KeyError:
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pass
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detector_inference_speed = GaugeMetricFamily('frigate_detector_inference_speed_seconds',
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'Time spent running object detection in seconds.', labels=['name'])
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detector_pid = GaugeMetricFamily('frigate_detector_pid',
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'PID for the shared process that runs object detection on the detector',
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labels=['name'])
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detector_detection_start = GaugeMetricFamily('frigate_detection_start',
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'Detector start time (unix timestamp)',
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labels=['name'])
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try:
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for k, d in data['detectors'].items():
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add_metric(detector_inference_speed, k, d, 'inference_speed', 0.001) # ms to seconds
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add_metric(detector_pid, k, d, 'pid')
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add_metric(detector_detection_start, k, d, 'detection_start')
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for detector_name, detector_stats in stats['detectors'].items():
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add_metric(detector_inference_speed, detector_name, detector_stats, 'inference_speed',
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0.001) # ms to seconds
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add_metric(detector_detection_start, detector_name, detector_stats, 'detection_start')
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self.add_metric_process(cpu_usages, stats['detectors'], detector_name, 'pid', 'detect', 'cpu',
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'Detector')
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self.add_metric_process(mem_usages, stats['detectors'], detector_name, 'pid', 'detect', 'mem',
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'Detector')
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except KeyError:
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pass
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yield detector_inference_speed
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yield detector_pid
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yield detector_detection_start
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# process stats
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cpu_usages = GaugeMetricFamily('frigate_cpu_usage_percent', 'Process CPU usage %', labels=['pid'])
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mem_usages = GaugeMetricFamily('frigate_mem_usage_percent', 'Process memory usage %', labels=['pid'])
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# remaining process stats
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try:
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for k, d in data['cpu_usages'].items():
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add_metric(cpu_usages, k, d, 'cpu')
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add_metric(mem_usages, k, d, 'mem')
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for process_id, pid_stats in self.process_stats.items():
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add_metric(cpu_usages, process_id, pid_stats, 'cpu')
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add_metric(mem_usages, process_id, pid_stats, 'mem')
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except KeyError:
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pass
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@ -104,13 +117,13 @@ class CustomCollector(object):
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yield mem_usages
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# gpu stats
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gpu_usages = GaugeMetricFamily('frigate_gpu_usage_percent', 'GPU utilisation %', labels=['gpu'])
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gpu_mem_usages = GaugeMetricFamily('frigate_gpu_mem_usage_percent', 'GPU memory usage %', labels=['gpu'])
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gpu_usages = GaugeMetricFamily('frigate_gpu_usage_percent', 'GPU utilisation %', labels=['gpu_name'])
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gpu_mem_usages = GaugeMetricFamily('frigate_gpu_mem_usage_percent', 'GPU memory usage %', labels=['gpu_name'])
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try:
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for k, d in data['gpu_usages'].items():
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add_metric(gpu_usages, k, d, 'gpu')
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add_metric(gpu_usages, k, d, 'mem')
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for gpu_name, gpu_stats in stats['gpu_usages'].items():
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add_metric(gpu_usages, gpu_name, gpu_stats, 'gpu')
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add_metric(gpu_usages, gpu_name, gpu_stats, 'mem')
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except KeyError:
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pass
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@ -123,11 +136,11 @@ class CustomCollector(object):
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'Stats recorded time (unix timestamp)')
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try:
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s = data['service']
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add_metric(uptime_seconds, '', s, 'uptime')
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add_metric(last_updated_timestamp, '', s, 'last_updated')
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service_stats = stats['service']
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add_metric(uptime_seconds, '', service_stats, 'uptime')
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add_metric(last_updated_timestamp, '', service_stats, 'last_updated')
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info = {'latest_version': data['service']['latest_version'], 'version': data['service']['version']}
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info = {'latest_version': stats['service']['latest_version'], 'version': stats['service']['version']}
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yield InfoMetricFamily('frigate_service', 'Frigate version info', value=info)
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except KeyError:
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@ -144,11 +157,11 @@ class CustomCollector(object):
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storage_used = GaugeMetricFamily('frigate_storage_used_bytes', 'Storage used bytes', labels=['storage'])
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try:
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for k, d in data['service']['storage'].items():
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add_metric(storage_free, k, d, 'free', 1e6) # MB to bytes
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add_metric(storage_total, k, d, 'total', 1e6) # MB to bytes
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add_metric(storage_used, k, d, 'used', 1e6) # MB to bytes
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storage_mount_type.add_metric(k, {'mount_type': d['mount_type']})
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for storage_path, storage_stats in stats['service']['storage'].items():
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add_metric(storage_free, storage_path, storage_stats, 'free', 1e6) # MB to bytes
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add_metric(storage_total, storage_path, storage_stats, 'total', 1e6) # MB to bytes
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add_metric(storage_used, storage_path, storage_stats, 'used', 1e6) # MB to bytes
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storage_mount_type.add_metric(storage_path, {'mount_type': storage_stats['mount_type']})
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except KeyError:
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pass
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