NewsBlur-viq/apps/monitor/views/newsblur_dbtimes.py

35 lines
1.5 KiB
Python
Executable file

from django.shortcuts import render
from django.views import View
from apps.statistics.models import MStatistics
class DbTimes(View):
def get(self, request):
data = {
'sql_avg': MStatistics.get('latest_sql_avg'),
'mongo_avg': MStatistics.get('latest_mongo_avg'),
'redis_user_avg': MStatistics.get('latest_redis_user_avg'),
'redis_story_avg': MStatistics.get('latest_redis_story_avg'),
'redis_session_avg': MStatistics.get('latest_redis_session_avg'),
'redis_pubsub_avg': MStatistics.get('latest_redis_pubsub_avg'),
'task_sql_avg': MStatistics.get('latest_task_sql_avg'),
'task_mongo_avg': MStatistics.get('latest_task_mongo_avg'),
'task_redis_user_avg': MStatistics.get('latest_task_redis_user_avg'),
'task_redis_story_avg': MStatistics.get('latest_task_redis_story_avg'),
'task_redis_session_avg': MStatistics.get('latest_task_redis_session_avg'),
'task_redis_pubsub_avg': MStatistics.get('latest_task_redis_pubsub_avg'),
}
chart_name = "db_times"
chart_type = "counter"
formatted_data = {}
for k, v in data.items():
formatted_data[k] = f'{chart_name}{{db="{k}"}} {v}'
context = {
"data": formatted_data,
"chart_name": chart_name,
"chart_type": chart_type,
}
return render(request, 'monitor/prometheus_data.html', context, content_type="text/plain")