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# coding=utf-8
#
# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2019 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENSE.TXT
from lvestats.lib import lveinfolib_gov
from lvestats.lib.chart import ChartMain
from lvestats.lib.commons import dateutil, sizeutil
VERSION = '0.10'
def _io_units(v):
"""
Get string representation of value;
:param int v: value in megabytes
:return str: humanized value
>>> _io_units(1)
'1MB'
>>> _io_units(1024)
'1GB'
"""
return sizeutil.convert_bytes_for_graph(v * 1024 * 1024)
class DbGovChart(ChartMain):
def __init__(self, config=None):
super().__init__('dbgovchart',
'Creates a chart representing usage pattern for LVE/user',
config)
@staticmethod
def get_version():
return VERSION
def get_chart_data(self, engine, from_ts, to_ts, server, user_id=None, show_all=False):
utc_from = dateutil.local_to_gm(from_ts)
utc_to = dateutil.local_to_gm(to_ts)
dt = utc_to - utc_from
period_sec = dt.total_seconds()
show_columns = ('ts', 'cpu', 'lcpu', 'read', 'lread', 'write', 'lwrite')
data = lveinfolib_gov.HistoryShowDBGov(
engine,
utc_from,
utc_to,
uid=user_id,
server_id=server,
show_columns=show_columns,
cfg=self.cfg
).history_dbgov_show()
data_collected = DbGovChart.convert_dbdata_to_dict(data, show_columns)
times = data_collected['ts']
del data_collected['ts']
return data_collected, times, period_sec
def customize_parser(self, parser):
parser.add_argument('--user',
help='mysql username',
dest='user_name',
required=True)
return parser
def add_graphs(self, renderer, data_collected, times, lve_version, show_all, is_user=False):
if any(data_collected['lcpu']) or show_all:
if is_user and self.is_normalized_user_cpu:
# Magnify aCPU, lCPU to 100%
# New user's data and limits
a_cpu_new = []
l_cpu_new = []
for idx in range(0, len(data_collected['lcpu'])):
l_cpu = data_collected['lcpu'][idx]
a_cpu = data_collected['cpu'][idx]
# New limit
l_cpu_new.append(100.0)
# New average
a_cpu_new.append(a_cpu * 100.0 / l_cpu)
# Store new data
data_collected['lcpu'] = l_cpu_new
data_collected['cpu'] = a_cpu_new
renderer.add_graph(data_collected, 'CPU Usage',
legend={
'cpu': ('CPU', 'green', int),
'lcpu': ('limit', 'red'),
}, x_values=times, min_y=0, max_y=100, unit='%', y_legend_converter=int)
if any(data_collected['lread']) or show_all:
renderer.add_graph(data_collected, 'Read Usage',
legend={
'read': ('READ', 'green',),
'lread': ('limit', 'red'),
}, x_values=times, min_y=0, y_legend_converter=_io_units, unit='/s')
if any(data_collected['lwrite']) or show_all:
renderer.add_graph(data_collected, 'Write Usage',
legend={
'write': ('WRITE', 'green',),
'lwrite': ('limit', 'red'),
}, x_values=times, min_y=0, y_legend_converter=_io_units, unit='/s')
if not show_all and not any(data_collected.values()):
# if no data available draw text box
renderer.add_text_box("No data")
renderer.add_common_x_legend(times, 6)
# Uncomment this if you want to test it.
# if __name__ == "__main__":
# DbGovChart(config_for_debug={
# 'db_type': 'sqlite',
# 'sqlite_db_path': '/home/shaman/workspace/cloudlinux/dbgovdb/lvestats2.db',
# 'server_id': 'localhost',
# }).main('--from', '2015-03-12 00:00', '--to', '2015-04-01 00:00', '--user', 'mysqldd', '--output', '/tmp/1.svg')