<s> """<STR_LIT>""" <EOL> from collections import defaultdict <EOL> import datetime <EOL> import gc <EOL> import logging <EOL> import os <EOL> import re <EOL> import numpy <EOL> from naarad . metrics . metric import Metric <EOL> import naarad . utils <EOL> logger = logging . getLogger ( '<STR_LIT>' ) <EOL> class ProcVmstatMetric ( Metric ) : <EOL> """<STR_LIT>""" <EOL> def __init__ ( self , metric_type , infile_list , hostname , aggr_metrics , output_directory , resource_path , label , ts_start , ts_end , <EOL> rule_strings , important_sub_metrics , anomaly_detection_metrics , ** other_options ) : <EOL> Metric . __init__ ( self , metric_type , infile_list , hostname , aggr_metrics , output_directory , resource_path , label , ts_start , ts_end , <EOL> rule_strings , important_sub_metrics , anomaly_detection_metrics ) <EOL> self . sub_metrics = None <EOL> for ( key , val ) in other_options . iteritems ( ) : <EOL> setattr ( self , key , val . split ( ) ) <EOL> self . sub_metric_description = { <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> } <EOL> def parse ( self ) : <EOL> """<STR_LIT>""" <EOL> file_status = True <EOL> for input_file in self . infile_list : <EOL> file_status = file_status and naarad . utils . is_valid_file ( input_file ) <EOL> if not file_status : <EOL> return False <EOL> status = True <EOL> data = { } <EOL> for input_file in self . infile_list : <EOL> logger . info ( '<STR_LIT>' , input_file ) <EOL> timestamp_format = None <EOL> with open ( input_file ) as fh : <EOL> for line in fh : <EOL> words = line . split ( ) <EOL> if len ( words ) < <NUM_LIT:3> : <EOL> continue <EOL> ts = words [ <NUM_LIT:0> ] + "<STR_LIT:U+0020>" + words [ <NUM_LIT:1> ] <EOL> if not timestamp_format or timestamp_format == '<STR_LIT>' : <EOL> timestamp_format = naarad . utils . detect_timestamp_format ( ts ) <EOL> if timestamp_format == '<STR_LIT>' : <EOL> continue <EOL> ts = naarad . utils . get_standardized_timestamp ( ts , timestamp_format ) <EOL> if self . ts_out_of_range ( ts ) : <EOL> continue <EOL> col = words [ <NUM_LIT:2> ] <EOL> if self . sub_metrics and col not in self . sub_metrics : <EOL> continue <EOL> self . sub_metric_unit [ col ] = '<STR_LIT>' <EOL> if col in self . column_csv_map : <EOL> out_csv = self . column_csv_map [ col ] <EOL> else : <EOL> out_csv = self . get_csv ( col ) <EOL> data [ out_csv ] = [ ] <EOL> data [ out_csv ] . append ( ts + "<STR_LIT:U+002C>" + words [ <NUM_LIT:3> ] ) <EOL> for csv in data . keys ( ) : <EOL> self . csv_files . append ( csv ) <EOL> with open ( csv , '<STR_LIT:w>' ) as fh : <EOL> fh . write ( '<STR_LIT:\n>' . join ( data [ csv ] ) ) <EOL> return status </s>
