mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-02-04 18:25:22 +03:00
formatter
This commit is contained in:
Mitch Ross
parent
1948fa6225
commit
5685a0ddb4
@ -14,19 +14,27 @@ def setupRegistry():
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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(stats[key])
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value = float(re.findall(r'\d+', string)[0])
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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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pass
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class CustomCollector:
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def __init__(self):
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self.stats_url = "http://localhost:5000/api/stats"
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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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def add_metric_process(
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self,
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metric,
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stats,
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camera_name,
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pid_name,
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process_name,
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cpu_or_memory,
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process_type,
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):
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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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@ -37,40 +45,87 @@ class CustomCollector:
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def collect(self):
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stats = json.loads(urlopen(self.stats_url).read())
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self.process_stats = stats['cpu_usages']
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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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cpu_usages = GaugeMetricFamily(
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"frigate_cpu_usage_percent",
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"Process CPU usage %",
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labels=["pid", "name", "process", "type"],
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)
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mem_usages = GaugeMetricFamily(
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"frigate_mem_usage_percent",
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"Process memory usage %",
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labels=["pid", "name", "process", "type"],
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)
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# camera stats
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camera_fps = GaugeMetricFamily('frigate_camera_fps', 'Frames per second being consumed from your 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_name'])
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process_fps = GaugeMetricFamily('frigate_process_fps', 'Frames per second being processed by frigate.',
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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_name'])
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detection_enabled = GaugeMetricFamily('frigate_detection_enabled', 'Detection enabled for camera',
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labels=['camera_name'])
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camera_fps = GaugeMetricFamily(
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"frigate_camera_fps",
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"Frames per second being consumed from your camera.",
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labels=["camera_name"],
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)
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detection_fps = GaugeMetricFamily(
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"frigate_detection_fps",
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"Number of times detection is run per second.",
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labels=["camera_name"],
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)
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process_fps = GaugeMetricFamily(
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"frigate_process_fps",
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"Frames per second being processed by frigate.",
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labels=["camera_name"],
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)
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skipped_fps = GaugeMetricFamily(
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"frigate_skipped_fps",
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"Frames per second skip for processing by frigate.",
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labels=["camera_name"],
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)
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detection_enabled = GaugeMetricFamily(
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"frigate_detection_enabled",
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"Detection enabled for camera",
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labels=["camera_name"],
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)
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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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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(
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detection_enabled, camera_name, camera_stats, "detection_enabled"
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)
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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(
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cpu_usages, stats, camera_name, "ffmpeg_pid", "ffmpeg", "cpu", "Camera"
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)
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self.add_metric_process(
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cpu_usages,
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stats,
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camera_name,
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"capture_pid",
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"capture",
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"cpu",
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"Camera",
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)
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self.add_metric_process(
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cpu_usages, stats, camera_name, "pid", "detect", "cpu", "Camera"
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)
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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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self.add_metric_process(
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mem_usages, stats, camera_name, "ffmpeg_pid", "ffmpeg", "mem", "Camera"
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)
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self.add_metric_process(
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mem_usages,
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stats,
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camera_name,
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"capture_pid",
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"capture",
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"mem",
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"Camera",
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)
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self.add_metric_process(
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mem_usages, stats, camera_name, "pid", "detect", "mem", "Camera"
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)
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yield camera_fps
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yield detection_fps
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@ -80,28 +135,59 @@ class CustomCollector:
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# detector stats
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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=stats['detection_fps'])
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yield GaugeMetricFamily(
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"frigate_detection_total_fps",
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"Sum of detection_fps across all cameras and detectors.",
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value=stats["detection_fps"],
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)
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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_inference_speed = GaugeMetricFamily(
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"frigate_detector_inference_speed_seconds",
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"Time spent running object detection in seconds.",
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labels=["name"],
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)
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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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detector_detection_start = GaugeMetricFamily(
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"frigate_detection_start",
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"Detector start time (unix timestamp)",
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labels=["name"],
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)
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try:
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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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for detector_name, detector_stats in stats["detectors"].items():
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add_metric(
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detector_inference_speed,
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detector_name,
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detector_stats,
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"inference_speed",
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0.001,
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) # ms to seconds
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add_metric(
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detector_detection_start,
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detector_name,
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detector_stats,
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"detection_start",
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)
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self.add_metric_process(
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cpu_usages,
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stats["detectors"],
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detector_name,
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"pid",
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"detect",
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"cpu",
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"Detector",
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)
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self.add_metric_process(
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mem_usages,
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stats["detectors"],
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detector_name,
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"pid",
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"detect",
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"mem",
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"Detector",
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)
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except KeyError:
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pass
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@ -111,8 +197,8 @@ class CustomCollector:
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# remaining process stats
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try:
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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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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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@ -120,13 +206,17 @@ class CustomCollector:
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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_name'])
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gpu_mem_usages = GaugeMetricFamily('frigate_gpu_mem_usage_percent', 'GPU memory usage %', labels=['gpu_name'])
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gpu_usages = GaugeMetricFamily(
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"frigate_gpu_usage_percent", "GPU utilisation %", labels=["gpu_name"]
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)
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gpu_mem_usages = GaugeMetricFamily(
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"frigate_gpu_mem_usage_percent", "GPU memory usage %", labels=["gpu_name"]
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)
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try:
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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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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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@ -134,17 +224,26 @@ class CustomCollector:
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yield gpu_mem_usages
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# service stats
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uptime_seconds = GaugeMetricFamily('frigate_service_uptime_seconds', 'Uptime seconds')
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last_updated_timestamp = GaugeMetricFamily('frigate_service_last_updated_timestamp',
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'Stats recorded time (unix timestamp)')
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uptime_seconds = GaugeMetricFamily(
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"frigate_service_uptime_seconds", "Uptime seconds"
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)
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last_updated_timestamp = GaugeMetricFamily(
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"frigate_service_last_updated_timestamp",
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"Stats recorded time (unix timestamp)",
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)
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try:
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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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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': 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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info = {
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"latest_version": stats["service"]["latest_version"],
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"version": stats["service"]["version"],
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}
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yield InfoMetricFamily(
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"frigate_service", "Frigate version info", value=info
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)
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except KeyError:
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pass
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@ -154,17 +253,33 @@ class CustomCollector:
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# service->temperatures: no data for me
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storage_free = GaugeMetricFamily('frigate_storage_free_bytes', 'Storage free bytes', labels=['storage'])
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storage_mount_type = InfoMetricFamily('frigate_storage_mount_type', 'Storage mount type', labels=['storage'])
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storage_total = GaugeMetricFamily('frigate_storage_total_bytes', 'Storage total bytes', labels=['storage'])
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storage_used = GaugeMetricFamily('frigate_storage_used_bytes', 'Storage used bytes', labels=['storage'])
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storage_free = GaugeMetricFamily(
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"frigate_storage_free_bytes", "Storage free bytes", labels=["storage"]
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)
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storage_mount_type = InfoMetricFamily(
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"frigate_storage_mount_type", "Storage mount type", labels=["storage"]
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)
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storage_total = GaugeMetricFamily(
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"frigate_storage_total_bytes", "Storage total bytes", labels=["storage"]
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)
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storage_used = GaugeMetricFamily(
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"frigate_storage_used_bytes", "Storage used bytes", labels=["storage"]
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)
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try:
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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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for storage_path, storage_stats in stats["service"]["storage"].items():
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add_metric(
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storage_free, storage_path, storage_stats, "free", 1e6
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) # MB to bytes
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add_metric(
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storage_total, storage_path, storage_stats, "total", 1e6
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) # MB to bytes
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add_metric(
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storage_used, storage_path, storage_stats, "used", 1e6
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) # MB to bytes
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storage_mount_type.add_metric(
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storage_path, {"mount_type": storage_stats["mount_type"]}
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)
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except KeyError:
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pass
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