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MarlinFirmware/buildroot/share/scripts/languageExport.py

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#!/usr/bin/env python3
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'''
languageExport.py
Export LCD language strings to CSV files for easier translation.
Use importTranslations.py to import CSV into the language files.
'''
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import re
from pathlib import Path
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from languageUtil import namebyid
LANGHOME = "Marlin/src/lcd/language"
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# Write multiple sheets if true, otherwise write one giant sheet
MULTISHEET = True
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OUTDIR = 'out-csv'
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# Check for the path to the language files
if not Path(LANGHOME).is_dir():
print("Error: Couldn't find the '%s' directory." % LANGHOME)
print("Edit LANGHOME or cd to the root of the repo before running.")
exit(1)
# A limit just for testing
LIMIT = 0
# A dictionary to contain strings for each language.
# Init with 'en' so English will always be first.
language_strings = { 'en': 0 }
# A dictionary to contain all distinct LCD string names
names = {}
# Get all "language_*.h" files
langfiles = sorted(list(Path(LANGHOME).glob('language_*.h')))
# Read each language file
for langfile in langfiles:
# Get the language code from the filename
langcode = langfile.name.replace('language_', '').replace('.h', '')
# Skip 'test' and any others that we don't want
if langcode in ['test']: continue
# Open the file
f = open(langfile, 'r', encoding='utf-8')
if not f: continue
# Flags to indicate a wide or tall section
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wideflag, tallflag = False, False
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# A counter for the number of strings in the file
stringcount = 0
# A dictionary to hold all the strings
strings = { 'narrow': {}, 'wide': {}, 'tall': {} }
# Read each line in the file
for line in f:
# Clean up the line for easier parsing
line = line.split("//")[0].strip()
if line.endswith(';'): line = line[:-1].strip()
# Check for wide or tall sections, assume no complicated nesting
if line.startswith("#endif") or line.startswith("#else"):
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wideflag, tallflag = False, False
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elif re.match(r'#if.*WIDTH\s*>=?\s*2[01].*', line): wideflag = True
elif re.match(r'#if.*LCD_HEIGHT\s*>=?\s*4.*', line): tallflag = True
# For string-defining lines capture the string data
match = re.match(r'LSTR\s+([A-Z0-9_]+)\s*=\s*(.+)\s*', line)
if match:
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# Name and quote-sanitized value
name, value = match.group(1), match.group(2).replace('\\"', '$$$')
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# Remove all _UxGT wrappers from the value in a non-greedy way
value = re.sub(r'_UxGT\((".*?")\)', r'\1', value)
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# Multi-line strings get one or more bars | for identification
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multiline = 0
multimatch = re.match(r'.*MSG_(\d)_LINE\s*\(\s*(.+?)\s*\).*', value)
if multimatch:
multiline = int(multimatch.group(1))
value = '|' + re.sub(r'"\s*,\s*"', '|', multimatch.group(2))
# Wrap inline defines in parentheses
value = re.sub(r' *([A-Z0-9]+_[A-Z0-9_]+) *', r'(\1)', value)
# Remove quotes around strings
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value = re.sub(r'"(.*?)"', r'\1', value).replace('$$$', '""')
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# Store all unique names as dictionary keys
names[name] = 1
# Store the string as narrow or wide
strings['tall' if tallflag else 'wide' if wideflag else 'narrow'][name] = value
# Increment the string counter
stringcount += 1
# Break for testing
if LIMIT and stringcount >= LIMIT: break
# Close the file
f.close()
# Store the array in the dict
language_strings[langcode] = strings
# Get the language codes from the dictionary
langcodes = list(language_strings.keys())
# Print the array
#print(language_strings)
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# Report the total number of unique strings
print("Found %s distinct LCD strings." % len(names))
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# Write a single language entry to the CSV file with narrow, wide, and tall strings
def write_csv_lang(f, strings, name):
f.write(',')
if name in strings['narrow']: f.write('"%s"' % strings['narrow'][name])
f.write(',')
if name in strings['wide']: f.write('"%s"' % strings['wide'][name])
f.write(',')
if name in strings['tall']: f.write('"%s"' % strings['tall'][name])
if MULTISHEET:
#
# Export a separate sheet for each language
#
Path.mkdir(Path(OUTDIR), exist_ok=True)
for lang in langcodes:
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with open("%s/language_%s.csv" % (OUTDIR, lang), 'w', encoding='utf-8') as f:
lname = lang + ' ' + namebyid(lang)
header = ['name', lname, lname + ' (wide)', lname + ' (tall)']
f.write('"' + '","'.join(header) + '"\n')
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for name in names.keys():
f.write('"' + name + '"')
write_csv_lang(f, language_strings[lang], name)
f.write('\n')
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else:
#
# Export one large sheet containing all languages
#
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with open("languages.csv", 'w', encoding='utf-8') as f:
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header = ['name']
for lang in langcodes:
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lname = lang + ' ' + namebyid(lang)
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header += [lname, lname + ' (wide)', lname + ' (tall)']
f.write('"' + '","'.join(header) + '"\n')
for name in names.keys():
f.write('"' + name + '"')
for lang in langcodes: write_csv_lang(f, language_strings[lang], name)
f.write('\n')