blob: b87804d59d3e79f43062950f9c3f08aa0a55a202 [file] [log] [blame]
#!/usr/bin/env python3
"""
This script reads the input from stdin, extracts all lines starting with
"# FDATA: " (or a given prefix instead of "FDATA"), parses the directives,
replaces symbol names ("#name#") with either symbol values or with offsets from
respective anchor symbols, and prints the resulting file to stdout.
"""
import argparse
import subprocess
import sys
import re
parser = argparse.ArgumentParser()
parser.add_argument("input")
parser.add_argument("objfile", help="Object file to extract symbol values from")
parser.add_argument("output")
parser.add_argument("prefix", nargs="?", default="FDATA", help="Custom FDATA prefix")
parser.add_argument("--nmtool", default="nm", help="Path to nm tool")
parser.add_argument("--no-lbr", action='store_true')
args = parser.parse_args()
# Regexes to extract FDATA lines from input and parse FDATA and pre-aggregated
# profile data
prefix_pat = re.compile(f"^# {args.prefix}: (.*)")
# FDATA records:
# <is symbol?> <closest elf symbol or DSO name> <relative FROM address>
# <is symbol?> <closest elf symbol or DSO name> <relative TO address>
# <number of mispredictions> <number of branches>
fdata_pat = re.compile(r"([01].*) (?P<exec>\d+) (?P<mispred>\d+)")
# Pre-aggregated profile:
# {B|F|f} [<start_id>:]<start_offset> [<end_id>:]<end_offset> <count>
# [<mispred_count>]
preagg_pat = re.compile(r"(?P<type>[BFf]) (?P<offsets_count>.*)")
# No-LBR profile:
# <is symbol?> <closest elf symbol or DSO name> <relative address> <count>
nolbr_pat = re.compile(r"([01].*) (?P<count>\d+)")
# Replacement symbol: #symname#
replace_pat = re.compile(r"#(?P<symname>[^#]+)#")
# Read input and construct the representation of fdata expressions
# as (src_tuple, dst_tuple, mispred_count, exec_count) tuples, where src and dst
# are represented as (is_sym, anchor, offset) tuples
exprs = []
with open(args.input, 'r') as f:
for line in f.readlines():
prefix_match = prefix_pat.match(line)
if not prefix_match:
continue
profile_line = prefix_match.group(1)
fdata_match = fdata_pat.match(profile_line)
preagg_match = preagg_pat.match(profile_line)
nolbr_match = nolbr_pat.match(profile_line)
if fdata_match:
src_dst, execnt, mispred = fdata_match.groups()
# Split by whitespaces not preceded by a backslash (negative lookbehind)
chunks = re.split(r'(?<!\\) +', src_dst)
# Check if the number of records separated by non-escaped whitespace
# exactly matches the format.
assert len(chunks) == 6, f"ERROR: wrong format/whitespaces must be escaped:\n{line}"
exprs.append(('FDATA', (*chunks, execnt, mispred)))
elif nolbr_match:
loc, count = nolbr_match.groups()
# Split by whitespaces not preceded by a backslash (negative lookbehind)
chunks = re.split(r'(?<!\\) +', loc)
# Check if the number of records separated by non-escaped whitespace
# exactly matches the format.
assert len(chunks) == 3, f"ERROR: wrong format/whitespaces must be escaped:\n{line}"
exprs.append(('NOLBR', (*chunks, count)))
elif preagg_match:
exprs.append(('PREAGG', preagg_match.groups()))
else:
exit("ERROR: unexpected input:\n%s" % line)
# Read nm output: <symbol value> <symbol type> <symbol name>
nm_output = subprocess.run([args.nmtool, '--defined-only', args.objfile],
text = True, capture_output = True).stdout
# Populate symbol map
symbols = {}
for symline in nm_output.splitlines():
symval, _, symname = symline.split(maxsplit=2)
symbols[symname] = symval
def evaluate_symbol(issym, anchor, offsym):
sym_match = replace_pat.match(offsym)
if not sym_match:
# No need to evaluate symbol value, return as is
return f'{issym} {anchor} {offsym}'
symname = sym_match.group('symname')
assert symname in symbols, f"ERROR: symbol {symname} is not defined in binary"
# Evaluate to an absolute offset if issym is false
if issym == '0':
return f'{issym} {anchor} {symbols[symname]}'
# Evaluate symbol against its anchor if issym is true
assert anchor in symbols, f"ERROR: symbol {anchor} is not defined in binary"
anchor_value = int(symbols[anchor], 16)
symbol_value = int(symbols[symname], 16)
sym_offset = symbol_value - anchor_value
return f'{issym} {anchor} {format(sym_offset, "x")}'
def replace_symbol(matchobj):
'''
Expects matchobj to only capture one group which contains the symbol name.
'''
symname = matchobj.group('symname')
assert symname in symbols, f"ERROR: symbol {symname} is not defined in binary"
return symbols[symname]
with open(args.output, 'w', newline='\n') as f:
if args.no_lbr:
print('no_lbr', file = f)
for etype, expr in exprs:
if etype == 'FDATA':
issym1, anchor1, offsym1, issym2, anchor2, offsym2, execnt, mispred = expr
print(evaluate_symbol(issym1, anchor1, offsym1),
evaluate_symbol(issym2, anchor2, offsym2),
execnt, mispred, file = f)
elif etype == 'NOLBR':
issym, anchor, offsym, count = expr
print(evaluate_symbol(issym, anchor, offsym), count, file = f)
elif etype == 'PREAGG':
# Replace all symbols enclosed in ##
print(expr[0], re.sub(replace_pat, replace_symbol, expr[1]),
file = f)
else:
exit("ERROR: unhandled expression type:\n%s" % etype)