tuhi/tools/raw-log-converter.py

174 lines
6.4 KiB
Python
Executable File

#!/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019 Red Hat, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import argparse
import os
import sys
from pathlib import Path
import yaml
import json
import logging
# This tool isn't installed, so we can assume that the tuhi module is always
# in the parent directory
sys.path.insert(0, os.path.dirname(os.path.realpath(__file__)) + '/..') # noqa
from tuhi.util import flatten # noqa
from tuhi.drawing import Drawing # noqa
from tuhi.protocol import StrokeFile # noqa
from tuhi.export import JsonSvg, JsonPng # noqa
from tuhi.wacom import WacomProtocolSpark, WacomProtocolIntuosPro, WacomProtocolSlate # noqa
logging.basicConfig(format='%(asctime)s %(levelname)s: %(name)s: %(message)s',
level=logging.INFO,
datefmt='%H:%M:%S')
logger = logging.getLogger('tuhi') # set the pseudo-root logger to take advantage of the other loggers
def parse_file(filename, file_format, tablet_model, orientation):
width = tablet_model.width
height = tablet_model.height
pressure = tablet_model.pressure
point_size = tablet_model.point_size
orientation = orientation or tablet_model.orientation
stem = Path(filename).stem
with open(filename) as fd:
yml = yaml.load(fd, Loader=yaml.Loader)
if not yml:
print(f'{filename}: empty file.')
return
# all recv lists that have source PEN
pendata = [d['recv'] for d in yml['data'] if 'recv' in d and 'source' in d and d['source'] == 'PEN']
data = list(flatten(pendata))
if not data:
print(f'{filename}: no pen data.')
return
f = StrokeFile(data)
# Spark doesn't have timestamps in the strokes, so use the file
# timestamp itself
timestamp = f.timestamp or yml['time']
# gotta convert to Drawings, then to json string, then to json, then
# to svg. ffs.
svgname = f'{stem}.svg'
pngname = f'{stem}.png'
jsonname = f'{stem}.json'
d = Drawing(svgname, (width * point_size, height * point_size), timestamp)
def normalize(p):
NORMALIZED_RANGE = 0x10000
return NORMALIZED_RANGE * p / pressure
for s in f.strokes:
stroke = d.new_stroke()
for p in s.points:
stroke.new_abs((p.x * point_size, p.y * point_size), normalize(p.p))
stroke.seal()
d.seal()
if file_format == 'json':
with open(jsonname, 'w') as fd:
fd.write(d.to_json())
return
else:
from io import StringIO
js = json.load(StringIO(d.to_json()))
if file_format == 'svg':
JsonSvg(js, orientation, d.name)
elif file_format == 'png':
JsonPng(js, orientation, pngname)
def fetch_files():
import xdg.BaseDirectory
basedir = Path(xdg.BaseDirectory.xdg_data_home, 'tuhi')
return [f for f in basedir.rglob('raw/*.yaml')]
def main(args=sys.argv):
long_description = '''
This tool is primarily a debugging tool but can be used to recover
"lost" files. Use this tool if Tuhi failed to convert a drawing
after downloading it from the device. Obviously after fixing the bug
that failed to convert it.
Input data is a raw log file. These are usually stored in
\t$XDG_DATA_HOME/tuhi/<bluetooth address>/raw/
Pass the log file to this tool and it will convert it to a JSON file or
an SVG file. Alternatively, use --all to convert all
all log files containing pen data in the above directory.
Files are placed in $CWD and use file names containing the file time
for easier identification.
Copying the JSON files into the $XDG_DATA_HOME/tuhi/ will make them
appear in the GUI.
'''.replace(' ', '')
parser = argparse.ArgumentParser(description='Converter tool from raw Tuhi log files to SVG and Tuhi JSON files.',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog=long_description)
parser.add_argument('filename', help='The YAML file to load', nargs='?')
parser.add_argument('--verbose',
help='Show some debugging informations',
action='store_true',
default=False)
parser.add_argument('--all',
help='Convert all files in $XDG_DATA_DIR/tuhi/',
action='store_true',
default=False)
parser.add_argument('--orientation',
help='The orientation of the tablet. Default: the tablet model\'s default',
default=None,
choices=['landscape', 'portrait', 'reverse-landscape', 'reverse-portrait'])
parser.add_argument('--tablet-model',
help='Use defaults from the given tablet model',
default='intuos-pro',
choices=['intuos-pro', 'slate', 'spark'])
parser.add_argument('--format',
help='The format to generate. Default: svg',
default='svg',
choices=['svg', 'png', 'json'])
ns = parser.parse_args(args[1:])
if ns.verbose:
logger.setLevel(logging.DEBUG)
if not ns.all:
if ns.filename is None:
print('filename is required, or use --all', file=sys.stderr)
sys.exit(1)
files = [ns.filename]
else:
files = fetch_files()
model_map = {
'intuos-pro': WacomProtocolIntuosPro,
'slate': WacomProtocolSlate,
'spark': WacomProtocolSpark,
}
for f in files:
parse_file(f, ns.format, model_map[ns.tablet_model], ns.orientation)
if __name__ == '__main__':
main()