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