DiamondLightSource /
Savu
| 1 | |||
| 2 | import argparse |
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| 3 | import itertools |
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| 4 | import os |
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| 5 | import re |
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| 6 | import tempfile |
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| 7 | |||
| 8 | import numpy as np |
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| 9 | import pandas as pd |
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| 10 | |||
| 11 | |||
| 12 | def reset_first_entry(memory_data): |
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| 13 | """ |
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| 14 | Resets the first memory entry for each unique component in the series |
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| 15 | """ |
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| 16 | |||
| 17 | def _reset(s): |
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| 18 | try: |
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| 19 | for i in range(64): |
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| 20 | memory_data.Memory[memory_data.Key.str.contains(s.format(i))].iloc[0][1] = '0' |
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| 21 | except IndexError: |
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| 22 | pass |
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| 23 | |||
| 24 | _reset("CPU{}") |
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| 25 | _reset("GPU{}") |
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| 26 | |||
| 27 | return memory_data |
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| 28 | |||
| 29 | |||
| 30 | def get_memory_data(frame): |
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| 31 | memory_data = frame[frame.Message.str.contains("memory usage")] |
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| 32 | number_finder = re.compile('[0-9]+') |
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| 33 | memory_data.insert(4, "Memory", [list(itertools.chain(msg.split()[0:1], number_finder.findall(msg))) for msg in |
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| 34 | memory_data.Message]) |
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| 35 | |||
| 36 | memory_data = pd.concat([memory_data.Key, memory_data.Memory], axis=1, join="outer") |
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| 37 | return reset_first_entry(memory_data) |
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| 38 | |||
| 39 | |||
| 40 | def convert(log_file_list, path, log_level): |
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| 41 | for log_file in log_file_list: |
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| 42 | the_key = "" |
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| 43 | the_interval = 0 # millisecs |
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| 44 | frame = get_frame(log_file, the_key, 'DEBUG') |
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| 45 | machine_names = get_machine_names(frame) |
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| 46 | memory_data = get_memory_data(frame) |
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| 47 | if log_level != 'DEBUG': |
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| 48 | frame = get_frame(log_file, the_key, log_level) |
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| 49 | html_filename = \ |
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| 50 | set_file_name('/'.join([path, os.path.basename(log_file)])) |
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| 51 | render_template(frame, machine_names, memory_data, the_interval, html_filename) |
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| 52 | print("html file created:", html_filename) |
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| 53 | print("Open the html file in your browser to view the profile.") |
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| 54 | |||
| 55 | return frame |
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| 56 | |||
| 57 | |||
| 58 | def get_frame(log_file, the_key, log_level): |
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| 59 | import itertools |
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| 60 | |||
| 61 | names = ['L', 'Time', 'Machine', 'CPU', 'Type', 'Message'] |
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| 62 | data = pd.io.parsers.read_fwf(log_file, widths=[2, 13, 6, 6, 7, 1000], |
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| 63 | names=names) |
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| 64 | |||
| 65 | data['Key'] = data['Machine'] + data['CPU'] |
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| 66 | frame = ((data[data.Type == log_level])[data.columns[[6, 5, 1]]]) |
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| 67 | frame.insert(0, 'Index', list(range(len(frame)))) |
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| 68 | frame = frame.sort_values(by=['Key', 'Index']) |
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| 69 | del frame['Index'] |
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| 70 | |||
| 71 | frame.Time = frame.Time.astype(np.int32) |
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| 72 | startTime = (frame.groupby('Key').first()).Time |
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| 73 | nElems = frame.groupby('Key').size() |
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| 74 | |||
| 75 | shift = [] |
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| 76 | for i in range(len(nElems)): |
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| 77 | shift.append([startTime[i]] * nElems[i]) |
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| 78 | shift = list(itertools.chain(*shift)) |
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| 79 | |||
| 80 | frame.Time = frame.Time - shift |
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| 81 | frame = frame[frame.Key.str.contains(the_key)] |
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| 82 | frame.insert(3, "Time_end", frame.Time.shift(-1)) |
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| 83 | frame.Message = frame.Message.str.strip('\n') |
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| 84 | frame.Message = frame.Message.str.replace("'", "") |
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| 85 | |||
| 86 | return frame |
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| 87 | |||
| 88 | |||
| 89 | def get_machine_names(frame): |
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| 90 | machine_names = frame.copy(deep=True) |
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| 91 | machine_names = machine_names[frame.Message.str.contains('Rank').replace(np.nan, False)] |
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| 92 | machine_names.Message = [m.split(':')[-1].strip() for m in frame.Message if isinstance(m, str) and 'Rank' in m] |
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| 93 | machine_names = machine_names.drop(['Time', 'Time_end'], axis=1) |
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| 94 | machine_names.Key = [k.split('CPU')[0] for k in machine_names.Key] |
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| 95 | machine_names.Key = [k.split('GPU')[0] for k in machine_names.Key] |
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| 96 | machine_names = machine_names.groupby('Key').first() |
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| 97 | machine_names['Machine'] = machine_names.index.values |
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| 98 | |||
| 99 | return machine_names |
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| 100 | |||
| 101 | |||
| 102 | def render_template(frame, machine_names, memory_data, the_interval, outfilename): |
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| 103 | from jinja2 import Template |
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| 104 | |||
| 105 | frame = frame[(frame.Time_end - frame.Time) > the_interval].values |
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| 106 | |||
| 107 | f_out = open(outfilename, 'w') |
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| 108 | dirname = os.path.dirname(__file__) |
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| 109 | style = os.path.join(dirname, 'style_sheet.css') |
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| 110 | with open(os.path.join(dirname, 'string_single.html'), 'r') as template_file: |
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| 111 | template = Template(template_file.read()) |
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| 112 | |||
| 113 | f_out.write(template.render(chart_width=1300, position=[16, 9], |
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| 114 | vals=map(list, frame[:, 0:4]), |
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| 115 | machines=map(list, machine_names.values), |
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| 116 | memory=map(list, memory_data.values), |
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| 117 | style_sheet=style)) |
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| 118 | f_out.close() |
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| 119 | |||
| 120 | return frame |
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| 121 | |||
| 122 | |||
| 123 | def set_file_name(filename): |
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| 124 | dir_path = os.path.dirname(filename) |
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| 125 | temp = os.path.basename(filename).split('.') |
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| 126 | filename = temp[0] + '_' + temp[1] + '.html' |
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| 127 | outfilename = dir_path + '/' + filename |
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| 128 | |||
| 129 | return outfilename |
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| 130 | |||
| 131 | |||
| 132 | def __option_parser(doc=True): |
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| 133 | """ Option parser for command line arguments. |
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| 134 | """ |
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| 135 | parser = argparse.ArgumentParser(prog='savu_profile') |
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| 136 | |||
| 137 | parser.add_argument('file', help='Savu output log file') |
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| 138 | parser.add_argument('-l', '--loglevel', default='INFO', |
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| 139 | help='Set the log level.') |
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| 140 | parser.add_argument('-f', '--find', nargs='*', default=[], |
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| 141 | help='Find lines containing these entries') |
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| 142 | parser.add_argument('-i', '--ignore', nargs='*', default=[], |
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| 143 | help='Ignore lines containing these entries') |
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| 144 | return parser if doc == True else parser.parse_args() |
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| 145 | |||
| 146 | |||
| 147 | def main(): |
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| 148 | args = __option_parser(doc=False) |
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| 149 | |||
| 150 | filename = os.path.abspath(args.file) |
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| 151 | |||
| 152 | # create the log file for profiling |
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| 153 | name, ext = os.path.splitext(os.path.basename(filename)) |
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| 154 | log_filename = os.path.join(tempfile.mkdtemp(), '{}_{}.log'.format(name, ext)) |
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| 155 | |||
| 156 | lfilter = ['L '] + args.find |
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| 157 | with open(filename, 'r') as finput: |
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| 158 | with open(log_filename, 'w') as foutput: |
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| 159 | for line in finput: |
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| 160 | filter_line = [True if t in line else False for t in lfilter] |
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| 161 | keep_line = [False if t in line else True for t in args.ignore] |
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| 162 | line = False if False in filter_line + keep_line else line |
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| 163 | if line: |
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| 164 | foutput.write(line) |
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| 165 | |||
| 166 | convert([log_filename], os.path.dirname(filename), args.loglevel) |
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| 167 | |||
| 168 | |||
| 169 | if __name__ == "__main__": |
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| 170 | main() |
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| 171 |