blob: 5ddf0f144fe39c524d5763f8c4083edc56acf4e2 [file] [log] [blame]
Andrew Geissler95ac1b82021-03-31 14:34:31 -05001#!/usr/bin/env python3
2
3# perf pmu-events sorting tool
4#
5# Copyright (C) 2021 Bruce Ashfield
6#
7# SPDX-License-Identifier: MIT
8#
9
10import sys
11import os
12import re
13from collections import OrderedDict
14
15if len(sys.argv) < 2:
16 print( "[ERROR]: input and output pmu files missing" )
17 sys.exit(1)
18
19if len(sys.argv) < 3:
20 print( "[ERROR]: output pmu file missing" )
21 sys.exit(1)
22
23infile = sys.argv[1]
24outfile = sys.argv[2]
25
26if not os.path.exists(infile):
27 print( "ERROR. input file does not exist: %s" % infile )
28 sys.exit(1)
29
30if os.path.exists(outfile):
31 print( "WARNING. output file will be overwritten: %s" % infile )
32
33with open(infile, 'r') as file:
34 data = file.read()
35
36preamble_regex = re.compile( '^(.*?)^struct', re.MULTILINE | re.DOTALL )
37
38preamble = re.search( preamble_regex, data )
39struct_block_regex = re.compile( '^struct.*?(\w+) (.*?)\[\] = {(.*?)^};', re.MULTILINE | re.DOTALL )
40field_regex = re.compile( '{.*?},', re.MULTILINE | re.DOTALL )
41cpuid_regex = re.compile( '\.cpuid = (.*?),', re.MULTILINE | re.DOTALL )
42name_regex = re.compile( '\.name = (.*?),', re.MULTILINE | re.DOTALL )
43
44# create a dictionary structure to store all the structs, their
45# types and then their fields.
46entry_dict = {}
47for struct in re.findall( struct_block_regex, data ):
48 # print( "struct: %s %s" % (struct[0],struct[1]) )
49 entry_dict[struct[1]] = {}
50 entry_dict[struct[1]]['type'] = struct[0]
51 entry_dict[struct[1]]['fields'] = {}
52 for entry in re.findall( field_regex, struct[2] ):
53 #print( " entry: %s" % entry )
54 cpuid = re.search( cpuid_regex, entry )
55 if cpuid:
56 #print( " cpuid found: %s" % cpuid.group(1) )
57 entry_dict[struct[1]]['fields'][cpuid.group(1)] = entry
58
59 name = re.search( name_regex, entry )
60 if name:
61 #print( " name found: %s" % name.group(1) )
62 entry_dict[struct[1]]['fields'][name.group(1)] = entry
63
64
65# created ordered dictionaries from the captured values. These are ordered by
66# a sorted() iteration of the keys. We don't care about the order we read
67# things, just the sorted order. Hency why we couldn't create these during
68# reading.
69#
70# yes, there's a more concise way to do this, but our nested dictionaries of
71# fields make it complex enough that it becomes unreadable.
72entry_dict_sorted = OrderedDict()
73for i in sorted(entry_dict.keys()):
74 entry_dict_sorted[i] = {}
75 entry_dict_sorted[i]['type'] = entry_dict[i]['type']
76 entry_dict_sorted[i]['fields'] = {}
77 for f in sorted(entry_dict[i]['fields'].keys()):
78 entry_dict_sorted[i]['fields'][f] = entry_dict[i]['fields'][f]
79
80# dump the sorted elements to the outfile
81outf = open( outfile, 'w' )
82
83print( preamble.group(1) )
84outf.write( preamble.group(1) )
85for d in entry_dict_sorted:
86 outf.write( "struct %s %s[] = {\n" % (entry_dict_sorted[d]['type'],d) )
87 for f in entry_dict_sorted[d]['fields']:
88 outf.write( entry_dict_sorted[d]['fields'][f] + '\n' )
89
90 outf.write( "};\n" )
91
92outf.close()
93