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https://github.com/pacnpal/thrilltrack-explorer.git
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e2b0368a62
Add Django Celery tasks and utilities to periodically collect system metrics (error rates, response times, queue sizes) and record them into metric_time_series. Include monitoring app scaffolding, metrics collector, Celery beat schedule, middleware for live metrics, and a Supabase edge function for cross-source metrics.
83 lines
2.7 KiB
Python
83 lines
2.7 KiB
Python
"""
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Celery tasks for periodic metric collection.
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"""
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import logging
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from celery import shared_task
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from .metrics_collector import MetricsCollector
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logger = logging.getLogger(__name__)
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@shared_task(bind=True, name='monitoring.collect_system_metrics')
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def collect_system_metrics(self):
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"""
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Periodic task to collect all system metrics.
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Runs every minute to gather current system state.
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"""
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logger.info("Starting system metrics collection")
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try:
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metrics = MetricsCollector.collect_all_metrics()
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logger.info(f"Collected metrics: {metrics}")
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return {
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'success': True,
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'metrics_collected': len(metrics),
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'metrics': metrics
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}
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except Exception as e:
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logger.error(f"Error in collect_system_metrics task: {e}", exc_info=True)
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raise
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@shared_task(bind=True, name='monitoring.collect_error_metrics')
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def collect_error_metrics(self):
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"""
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Collect error-specific metrics.
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Runs every minute to track error rates.
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"""
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try:
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error_rate = MetricsCollector.get_error_rate()
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MetricsCollector.record_metric('error_rate', error_rate, 'performance')
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return {'success': True, 'error_rate': error_rate}
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except Exception as e:
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logger.error(f"Error in collect_error_metrics task: {e}", exc_info=True)
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raise
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@shared_task(bind=True, name='monitoring.collect_performance_metrics')
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def collect_performance_metrics(self):
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"""
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Collect performance metrics (response times, cache hit rates).
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Runs every minute.
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"""
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try:
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metrics = {}
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response_time = MetricsCollector.get_api_response_time()
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MetricsCollector.record_metric('api_response_time', response_time, 'performance')
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metrics['api_response_time'] = response_time
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cache_hit_rate = MetricsCollector.get_cache_hit_rate()
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MetricsCollector.record_metric('cache_hit_rate', cache_hit_rate, 'performance')
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metrics['cache_hit_rate'] = cache_hit_rate
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return {'success': True, 'metrics': metrics}
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except Exception as e:
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logger.error(f"Error in collect_performance_metrics task: {e}", exc_info=True)
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raise
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@shared_task(bind=True, name='monitoring.collect_queue_metrics')
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def collect_queue_metrics(self):
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"""
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Collect Celery queue metrics.
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Runs every minute to monitor queue health.
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"""
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try:
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queue_size = MetricsCollector.get_celery_queue_size()
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MetricsCollector.record_metric('celery_queue_size', queue_size, 'system')
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return {'success': True, 'queue_size': queue_size}
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except Exception as e:
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logger.error(f"Error in collect_queue_metrics task: {e}", exc_info=True)
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raise
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