isle-portable/tools/reccmp/reccmp.py

341 lines
11 KiB
Python
Executable file

#!/usr/bin/env python3
import argparse
import base64
import json
import logging
import os
from datetime import datetime
from isledecomp import (
Bin,
get_file_in_script_dir,
print_combined_diff,
diff_json,
percent_string,
)
from isledecomp.compare import Compare as IsleCompare
from isledecomp.types import SymbolType
from pystache import Renderer
import colorama
colorama.init()
def gen_json(json_file: str, orig_file: str, data):
"""Create a JSON file that contains the comparison summary"""
# If the structure of the JSON file ever changes, we would run into a problem
# reading an older format file in the CI action. Mark which version we are
# generating so we could potentially address this down the road.
json_format_version = 1
# Remove the diff field
reduced_data = [
{key: value for (key, value) in obj.items() if key != "diff"} for obj in data
]
with open(json_file, "w", encoding="utf-8") as f:
json.dump(
{
"file": os.path.basename(orig_file).lower(),
"format": json_format_version,
"timestamp": datetime.now().timestamp(),
"data": reduced_data,
},
f,
)
def gen_html(html_file, data):
js_path = get_file_in_script_dir("reccmp.js")
with open(js_path, "r", encoding="utf-8") as f:
reccmp_js = f.read()
output_data = Renderer().render_path(
get_file_in_script_dir("template.html"), {"data": data, "reccmp_js": reccmp_js}
)
with open(html_file, "w", encoding="utf-8") as htmlfile:
htmlfile.write(output_data)
def gen_svg(svg_file, name_svg, icon, svg_implemented_funcs, total_funcs, raw_accuracy):
icon_data = None
if icon:
with open(icon, "rb") as iconfile:
icon_data = base64.b64encode(iconfile.read()).decode("utf-8")
total_statistic = raw_accuracy / total_funcs
full_percentbar_width = 127.18422
output_data = Renderer().render_path(
get_file_in_script_dir("template.svg"),
{
"name": name_svg,
"icon": icon_data,
"implemented": f"{(svg_implemented_funcs / total_funcs * 100):.2f}% ({svg_implemented_funcs}/{total_funcs})",
"accuracy": f"{(raw_accuracy / svg_implemented_funcs * 100):.2f}%",
"progbar": total_statistic * full_percentbar_width,
"percent": f"{(total_statistic * 100):.2f}%",
},
)
with open(svg_file, "w", encoding="utf-8") as svgfile:
svgfile.write(output_data)
def print_match_verbose(match, show_both_addrs: bool = False, is_plain: bool = False):
percenttext = percent_string(
match.effective_ratio, match.is_effective_match, is_plain
)
if show_both_addrs:
addrs = f"0x{match.orig_addr:x} / 0x{match.recomp_addr:x}"
else:
addrs = hex(match.orig_addr)
if match.is_stub:
print(f"{addrs}: {match.name} is a stub. No diff.")
return
if match.effective_ratio == 1.0:
ok_text = (
"OK!"
if is_plain
else (colorama.Fore.GREEN + "✨ OK! ✨" + colorama.Style.RESET_ALL)
)
if match.ratio == 1.0:
print(f"{addrs}: {match.name} 100% match.\n\n{ok_text}\n\n")
else:
print(
f"{addrs}: {match.name} Effective 100% match. (Differs in register allocation only)\n\n{ok_text} (still differs in register allocation)\n\n"
)
else:
print_combined_diff(match.udiff, is_plain, show_both_addrs)
print(
f"\n{match.name} is only {percenttext} similar to the original, diff above"
)
def print_match_oneline(match, show_both_addrs: bool = False, is_plain: bool = False):
percenttext = percent_string(
match.effective_ratio, match.is_effective_match, is_plain
)
if show_both_addrs:
addrs = f"0x{match.orig_addr:x} / 0x{match.recomp_addr:x}"
else:
addrs = hex(match.orig_addr)
if match.is_stub:
print(f" {match.name} ({addrs}) is a stub.")
else:
print(f" {match.name} ({addrs}) is {percenttext} similar to the original")
def parse_args() -> argparse.Namespace:
def virtual_address(value) -> int:
"""Helper method for argparse, verbose parameter"""
return int(value, 16)
parser = argparse.ArgumentParser(
allow_abbrev=False,
description="Recompilation Compare: compare an original EXE with a recompiled EXE + PDB.",
)
parser.add_argument(
"original", metavar="original-binary", help="The original binary"
)
parser.add_argument(
"recompiled", metavar="recompiled-binary", help="The recompiled binary"
)
parser.add_argument(
"pdb", metavar="recompiled-pdb", help="The PDB of the recompiled binary"
)
parser.add_argument(
"decomp_dir", metavar="decomp-dir", help="The decompiled source tree"
)
parser.add_argument(
"--total",
"-T",
metavar="<count>",
help="Total number of expected functions (improves total accuracy statistic)",
)
parser.add_argument(
"--verbose",
"-v",
metavar="<offset>",
type=virtual_address,
help="Print assembly diff for specific function (original file's offset)",
)
parser.add_argument(
"--json",
metavar="<file>",
help="Generate JSON file with match summary",
)
parser.add_argument(
"--diff",
metavar="<file>",
help="Diff against summary in JSON file",
)
parser.add_argument(
"--html",
"-H",
metavar="<file>",
help="Generate searchable HTML summary of status and diffs",
)
parser.add_argument(
"--no-color", "-n", action="store_true", help="Do not color the output"
)
parser.add_argument(
"--svg", "-S", metavar="<file>", help="Generate SVG graphic of progress"
)
parser.add_argument("--svg-icon", metavar="icon", help="Icon to use in SVG (PNG)")
parser.add_argument(
"--print-rec-addr",
action="store_true",
help="Print addresses of recompiled functions too",
)
parser.add_argument(
"--silent",
action="store_true",
help="Don't display text summary of matches",
)
parser.set_defaults(loglevel=logging.INFO)
parser.add_argument(
"--debug",
action="store_const",
const=logging.DEBUG,
dest="loglevel",
help="Print script debug information",
)
args = parser.parse_args()
if not os.path.isfile(args.original):
parser.error(f"Original binary {args.original} does not exist")
if not os.path.isfile(args.recompiled):
parser.error(f"Recompiled binary {args.recompiled} does not exist")
if not os.path.isfile(args.pdb):
parser.error(f"Symbols PDB {args.pdb} does not exist")
if not os.path.isdir(args.decomp_dir):
parser.error(f"Source directory {args.decomp_dir} does not exist")
return args
def main():
args = parse_args()
logging.basicConfig(level=args.loglevel, format="[%(levelname)s] %(message)s")
with Bin(args.original, find_str=True) as origfile, Bin(
args.recompiled
) as recompfile:
if args.verbose is not None:
# Mute logger events from compare engine
logging.getLogger("isledecomp.compare.db").setLevel(logging.CRITICAL)
logging.getLogger("isledecomp.compare.lines").setLevel(logging.CRITICAL)
isle_compare = IsleCompare(origfile, recompfile, args.pdb, args.decomp_dir)
print()
### Compare one or none.
if args.verbose is not None:
match = isle_compare.compare_address(args.verbose)
if match is None:
print(f"Failed to find a match at address 0x{args.verbose:x}")
return
print_match_verbose(
match, show_both_addrs=args.print_rec_addr, is_plain=args.no_color
)
return
### Compare everything.
function_count = 0
total_accuracy = 0
total_effective_accuracy = 0
htmlinsert = []
for match in isle_compare.compare_all():
if not args.silent and args.diff is None:
print_match_oneline(
match, show_both_addrs=args.print_rec_addr, is_plain=args.no_color
)
if match.match_type == SymbolType.FUNCTION and not match.is_stub:
function_count += 1
total_accuracy += match.ratio
total_effective_accuracy += match.effective_ratio
# If html, record the diffs to an HTML file
html_obj = {
"address": f"0x{match.orig_addr:x}",
"recomp": f"0x{match.recomp_addr:x}",
"name": match.name,
"matching": match.effective_ratio,
}
if match.is_effective_match:
html_obj["effective"] = True
if match.udiff is not None:
html_obj["diff"] = match.udiff
if match.is_stub:
html_obj["stub"] = True
htmlinsert.append(html_obj)
# Compare with saved diff report.
if args.diff is not None:
with open(args.diff, "r", encoding="utf-8") as f:
saved_data = json.load(f)
diff_json(
saved_data,
htmlinsert,
args.original,
show_both_addrs=args.print_rec_addr,
is_plain=args.no_color,
)
## Generate files and show summary.
if args.json is not None:
gen_json(args.json, args.original, htmlinsert)
if args.html is not None:
gen_html(args.html, json.dumps(htmlinsert))
implemented_funcs = function_count
if args.total:
function_count = int(args.total)
if function_count > 0:
effective_accuracy = total_effective_accuracy / function_count * 100
actual_accuracy = total_accuracy / function_count * 100
print(
f"\nTotal effective accuracy {effective_accuracy:.2f}% across {function_count} functions ({actual_accuracy:.2f}% actual accuracy)"
)
if args.svg is not None:
gen_svg(
args.svg,
os.path.basename(args.original),
args.svg_icon,
implemented_funcs,
function_count,
total_effective_accuracy,
)
if __name__ == "__main__":
raise SystemExit(main())