name : dbgovchartmain.py # 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')