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https://github.com/Nheko-Reborn/nheko.git
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138 lines
5 KiB
Python
Executable file
138 lines
5 KiB
Python
Executable file
#!/usr/bin/env python3
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import sys
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import re
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from unidecode import unidecode
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from jinja2 import Template
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class Emoji(object):
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def __init__(self, code, shortname, unicodename):
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self.code = ''.join(['\\U'+c.rjust(8, '0') for c in code.strip().split(' ')])
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self.shortname = shortname
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self.unicodename = unicodename
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def generate_qml_list(**kwargs):
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tmpl = Template('''
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const QVector<Emoji> emoji::Provider::emoji = {
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{%- for c in kwargs.items() %}
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// {{ c[0].capitalize() }}
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{%- for e in c[1] %}
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Emoji{QStringLiteral(u"{{ e.code }}"), QStringLiteral(u"{{ e.shortname }}"), QStringLiteral(u"{{ e.unicodename }}"), emoji::Emoji::Category::{{ c[0].capitalize() }}},
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{%- endfor %}
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{%- endfor %}
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};
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''')
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d = dict(kwargs=kwargs)
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print(tmpl.render(d))
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if __name__ == '__main__':
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if len(sys.argv) < 3:
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print('usage: emoji_codegen.py /path/to/emoji-test.txt /path/to/shortcodes.txt')
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sys.exit(1)
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filename = sys.argv[1]
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shortcodefilename = sys.argv[2]
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people = []
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nature = []
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food = []
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activity = []
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travel = []
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objects = []
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symbols = []
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flags = []
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categories = {
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'Smileys & Emotion': people,
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'People & Body': people,
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'Animals & Nature': nature,
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'Food & Drink': food,
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'Travel & Places': travel,
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'Activities': activity,
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'Objects': objects,
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'Symbols': symbols,
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'Flags': flags,
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'Component': symbols
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}
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shortcodeDict = {}
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# for my sanity - this strips newlines
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for line in open(shortcodefilename, 'r', encoding="utf8"):
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longname, shortname = line.strip().split(':')
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shortcodeDict[longname] = shortname
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current_category = ''
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for line in open(filename, 'r', encoding="utf8"):
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if line.startswith('# group:'):
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current_category = line.split(':', 1)[1].strip()
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if not line or line.startswith('#'):
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continue
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segments = re.split(r'\s+[#;] ', line.strip())
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if len(segments) != 3:
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continue
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code, qualification, charAndName = segments
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# skip unqualified versions of same unicode
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if qualification != 'fully-qualified':
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continue
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char, name = re.match(r'^(\S+) E\d+\.\d+ (.*)$', charAndName).groups()
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shortname = name
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# until skin tone is handled, keep them around
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# discard skin tone variants for sanity
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# __contains__ is so stupid i hate prototype languages
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# if name.__contains__("skin tone") and qualification != 'component':
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# continue
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# if qualification == 'component' and not name.__contains__("skin tone"):
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# continue
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#TODO: Handle skintone modifiers in a sane way
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basicallyTheSame = False
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if code in shortcodeDict:
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shortname = shortcodeDict[code]
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else:
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shortname = shortname.lower()
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if shortname.endswith(' (blood type)'):
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shortname = shortname[:-13]
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if shortname.endswith(': red hair'):
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shortname = "red_haired_" + shortname[:-10]
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if shortname.endswith(': curly hair'):
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shortname = "curly_haired_" + shortname[:-12]
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if shortname.endswith(': white hair'):
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shortname = "white_haried_" + shortname[:-12]
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if shortname.endswith(': bald'):
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shortname = "bald_" + shortname[:-6]
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if shortname.endswith(': beard'):
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shortname = "bearded_" + shortname[:-7]
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if shortname.endswith(' face'):
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shortname = shortname[:-5]
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if shortname.endswith(' button'):
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shortname = shortname[:-7]
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if shortname.endswith(' banknote'):
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shortname = shortname[:-9]
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# FIXME: Is there a better way to do this?
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matchobj = re.match(r'^flag: (.*)$', shortname)
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if shortname.startswith("flag: "):
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country = shortname[5:]
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shortname = country + " flag"
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shortname = shortname.replace("u.s.", "us")
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shortname = shortname.replace("&", "and")
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if shortname == name.lower():
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basicallyTheSame = True
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shortname = shortname.replace("-", "_")
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shortname = re.sub(r'\W', '_', shortname)
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shortname, = re.match(r'^_*(.+)_*$', shortname).groups()
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shortname = re.sub(r'_{2,}', '_', shortname)
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shortname = unidecode(shortname)
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# if basicallyTheSame:
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# shortname = ""
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categories[current_category].append(Emoji(code, shortname, name))
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# Use xclip to pipe the output to clipboard.
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# e.g ./codegen.py emoji.json | xclip -sel clip
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# alternatively - delete the var from src/emoji/Provider.cpp, and do ./codegen.py emojis shortcodes >> src/emoji/Provider.cpp
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generate_qml_list(people=people, nature=nature, food=food, activity=activity, travel=travel, objects=objects, symbols=symbols, flags=flags)
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