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build_emoji: Generate `codepoint_to_name.json` file. 

Store the `codepoint_to_name` map in a JSON file which can be used
by the rest of codebase(zerver) to convert emoji codepoints to
canonical names.
This commit is contained in:
Harshit Bansal 2017-05-23 20:45:26 +05:30 committed by Tim Abbott
parent 8abbb6d781
commit fee4065571
2 changed files with 24 additions and 2 deletions
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15
tools/setup/emoji/build_emoji
View File

@ -16,8 +16,8 @@ from typing import Dict, Text, Union
from os.path import dirname
from PIL import Image, ImageDraw, ImageFont
from emoji_setup_utils import generate_emoji_catalog, emoji_names_for_picker, \
EMOJISETS
from emoji_setup_utils import generate_emoji_catalog, generate_codepoint_to_name_map, \
emoji_names_for_picker, EMOJISETS
ZULIP_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../../../')
sys.path.append(ZULIP_PATH)
@ -205,6 +205,10 @@ def dump_emojis(cache_path):
emoji_data = ujson.load(open(os.path.join(EMOJI_DATA_PATH, 'emoji.json')))
emoji_catalog = generate_emoji_catalog(emoji_data)
UNIFIED_REACTIONS_PATH = os.path.join(ZULIP_PATH, 'zerver', 'management', 'data', 'unified_reactions.json')
with open(UNIFIED_REACTIONS_PATH) as unified_reactions_file:
unified_reactions_data = ujson.load(unified_reactions_file)
os.chdir(EMOJI_DUMP_DIR_PATH)
try:
@ -319,5 +323,12 @@ def dump_emojis(cache_path):
name_to_codepoint_file.write(ujson.dumps(emoji_map))
name_to_codepoint_file.close()
CODEPOINT_TO_NAME_PATH = os.path.join(cache_path, 'codepoint_to_name.json')
codepoint_to_name_file = open(CODEPOINT_TO_NAME_PATH, 'w')
codepoint_to_name = generate_codepoint_to_name_map(names, unified_reactions_data)
codepoint_to_name_file.write(ujson.dumps(codepoint_to_name))
codepoint_to_name_file.close()
if __name__ == "__main__":
main()

11
tools/setup/emoji/emoji_setup_utils.py
View File

@ -256,3 +256,14 @@ def emoji_is_universal(emoji_dict):
if not emoji_dict['has_img_' + emoji_set]:
return False
return True
def generate_codepoint_to_name_map(names, unified_reactions_data):
# type: (List[str], Dict[Text, Text]) -> Dict[str, str]
# TODO: Decide canonical names. For now, using the names
# generated for emoji picker. In case of multiple names
# for the same emoji, lexicographically greater name is
# used, for example, `thumbs_up` is used and not `+1`.
codepoint_to_name = {} # type: Dict[str, str]
for name in names:
codepoint_to_name[str(unified_reactions_data[name])] = str(name)
return codepoint_to_name