Created
February 19, 2020 14:21
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Extracts terms from Apple lg glossary files, combining into a JSON file
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#!/usr/bin/env python | |
import sys, os.path | |
import os | |
import json | |
from xml.dom.minidom import parse | |
rootdir = os.getcwd() | |
lgPaths = ["iOS/AuthKitUI.lg", "iOS/CalendarUIKit.lg", "iOS/iCloudDriveSettings.lg", "iOS/MobileNotes.lg", "macOS/CalendarUI.lg", "macOS/Finder_FE.lg", "macOS/Finder_FinderKit.lg", "macOS/iCloudPrefPane.lg", "macOS/Notes.lg", "macOS/Reminders.lg", "macOS/TextEdit.lg"] | |
languageDirs = ["Dutch", "French"] | |
resultDict = {} | |
for lang in languageDirs: | |
for lgPath in lgPaths: | |
path = os.path.join(rootdir, lang, lgPath) | |
dom = parse(path) | |
proj = dom.documentElement | |
files = proj.getElementsByTagName("File") | |
for f in files: | |
filepath = f.getElementsByTagName("Filepath")[0].childNodes[0].data | |
items = f.getElementsByTagName("TextItem") | |
for i in items: | |
position = i.getElementsByTagName("Position")[0].childNodes[0].data | |
idInGlossary = lgPath + "__" + filepath + "__" + position | |
transset = i.getElementsByTagName("TranslationSet")[0] | |
english = transset.getElementsByTagName("base")[0].childNodes[0].data | |
foreign = transset.getElementsByTagName("tran")[0].childNodes[0].data | |
langCode = transset.getElementsByTagName("tran")[0].getAttribute('loc') | |
entry = resultDict.setdefault(idInGlossary, {}) | |
entry["en"] = english.encode('utf-8') | |
entry[langCode] = foreign.encode('utf-8') | |
# Remove any entry that doesn't include all languages | |
for k in resultDict.keys(): | |
if len(resultDict[k]) != len(languageDirs)+1: | |
del resultDict[k] | |
# Convert dictionary to array | |
jsonList = [] | |
for k in resultDict: | |
# Have to convert dictionary to list, because | |
# Swift Codable can't handle a dictionary where | |
# the keys are not strings | |
langDict = resultDict[k] | |
langList = [] | |
for l in langDict: | |
langList.append(l) | |
langList.append(langDict[l]) | |
entry = {"id":k, "textByLanguage":langList} | |
jsonList.append(entry) | |
with open('glossary.json', 'w') as outfile: | |
json.dump(jsonList, outfile, sort_keys=True, indent=4) |
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