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https://github.com/KevinMidboe/mktxp-no-cli.git
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72 lines
3.9 KiB
Python
72 lines
3.9 KiB
Python
# coding=utf8
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## Copyright (c) 2020 Arseniy Kuznetsov
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##
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## This program is free software; you can redistribute it and/or
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## modify it under the terms of the GNU General Public License
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## as published by the Free Software Foundation; either version 2
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## of the License, or (at your option) any later version.
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##
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## This program is distributed in the hope that it will be useful,
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## but WITHOUT ANY WARRANTY; without even the implied warranty of
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## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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## GNU General Public License for more details.
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from mktxp.collector.base_collector import BaseCollector
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from mktxp.flow.processor.output import BaseOutputProcessor
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from mktxp.datasource.system_resource_ds import SystemResourceMetricsDataSource
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class SystemResourceCollector(BaseCollector):
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''' System Resource Metrics collector
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'''
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@staticmethod
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def collect(router_entry):
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resource_labels = ['uptime', 'version', 'free_memory', 'total_memory',
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'cpu', 'cpu_count', 'cpu_frequency', 'cpu_load',
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'free_hdd_space', 'total_hdd_space',
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'architecture_name', 'board_name']
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resource_records = SystemResourceMetricsDataSource.metric_records(router_entry, metric_labels = resource_labels)
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if resource_records:
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# translate records to appropriate values
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translated_fields = ['uptime']
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for resource_record in resource_records:
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for translated_field in translated_fields:
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value = resource_record.get(translated_field, None)
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if value:
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resource_record[translated_field] = SystemResourceCollector._translated_values(translated_field, value)
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uptime_metrics = BaseCollector.gauge_collector('system_uptime', 'Time interval since boot-up', resource_records, 'uptime', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield uptime_metrics
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free_memory_metrics = BaseCollector.gauge_collector('system_free_memory', 'Unused amount of RAM', resource_records, 'free_memory', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield free_memory_metrics
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total_memory_metrics = BaseCollector.gauge_collector('system_total_memory', 'Amount of installed RAM', resource_records, 'total_memory', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield total_memory_metrics
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free_hdd_metrics = BaseCollector.gauge_collector('system_free_hdd_space', 'Free space on hard drive or NAND', resource_records, 'free_hdd_space', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield free_hdd_metrics
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total_hdd_metrics = BaseCollector.gauge_collector('system_total_hdd_space', 'Size of the hard drive or NAND', resource_records, 'total_hdd_space', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield total_hdd_metrics
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cpu_load_metrics = BaseCollector.gauge_collector('system_cpu_load', 'Percentage of used CPU resources', resource_records, 'cpu_load', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield cpu_load_metrics
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cpu_count_metrics = BaseCollector.gauge_collector('system_cpu_count', 'Number of CPUs present on the system', resource_records, 'cpu_count', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield cpu_count_metrics
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cpu_frequency_metrics = BaseCollector.gauge_collector('system_cpu_frequency', 'Current CPU frequency', resource_records, 'cpu_frequency', ['version', 'board_name', 'cpu', 'architecture_name'])
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yield cpu_frequency_metrics
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# Helpers
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@staticmethod
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def _translated_values(translated_field, value):
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return {
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'uptime': lambda value: BaseOutputProcessor.parse_timedelta_seconds(value)
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}[translated_field](value)
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