zulip/tools/setup/emoji/emoji_setup_utils.py

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# This file contains various helper functions used by `build_emoji` tool.
# See docs/subsystems/emoji.md for details on how this system works.
from collections import defaultdict
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from typing import Any, Dict, List
# Emojisets that we currently support.
EMOJISETS = ["google", "twitter"]
# Some image files in the old emoji farm had a different name than in the new emoji
# farm. `remapped_emojis` is a map that contains a mapping of their name in the old
# emoji farm to their name in the new emoji farm.
REMAPPED_EMOJIS = {
"0023": "0023-20e3", # Hash
"0030": "0030-20e3", # Zero
"0031": "0031-20e3", # One
"0032": "0032-20e3", # Two
"0033": "0033-20e3", # Three
"0034": "0034-20e3", # Four
"0035": "0035-20e3", # Five
"0036": "0036-20e3", # Six
"0037": "0037-20e3", # Seven
"0038": "0038-20e3", # Eight
"0039": "0039-20e3", # Nine
"1f1e8": "1f1e8-1f1f3", # cn
"1f1e9": "1f1e9-1f1ea", # de
"1f1ea": "1f1ea-1f1f8", # es
"1f1eb": "1f1eb-1f1f7", # fr
"1f1ec": "1f1ec-1f1e7", # gb/us
"1f1ee": "1f1ee-1f1f9", # it
"1f1ef": "1f1ef-1f1f5", # jp
"1f1f0": "1f1f0-1f1f7", # kr
"1f1f7": "1f1f7-1f1fa", # ru
"1f1fa": "1f1fa-1f1f8", # us
}
# Emoticons and which emoji they should become. Duplicate emoji are allowed.
# Changes here should be mimicked in `templates/zerver/help/enable-emoticon-translations.md`.
EMOTICON_CONVERSIONS = {
":)": ":smile:",
"(:": ":smile:",
":(": ":frown:",
"<3": ":heart:",
":|": ":neutral:",
":/": ":confused:",
";)": ":wink:",
":D": ":grinning:",
":o": ":open_mouth:",
":O": ":open_mouth:",
":p": ":stuck_out_tongue:",
":P": ":stuck_out_tongue:",
}
def emoji_names_for_picker(emoji_name_maps: Dict[str, Dict[str, Any]]) -> List[str]:
emoji_names: List[str] = []
for emoji_code, name_info in emoji_name_maps.items():
emoji_names.append(name_info["canonical_name"])
emoji_names.extend(name_info["aliases"])
return sorted(emoji_names)
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def get_emoji_code(emoji_dict: Dict[str, Any]) -> str:
# Starting from version 4.0.0, `emoji_datasource` package has started to
# add an emoji presentation variation selector for certain emojis which
# have defined variation sequences. Since in informal environments(like
# texting and chat), it is more appropriate for an emoji to have a colorful
# display so until emoji characters have a text presentation selector, it
# should have a colorful display. Hence we can continue using emoji characters
# without appending emoji presentation selector.
# (http://unicode.org/reports/tr51/index.html#Presentation_Style)
# If `non_qualified` field is present and not None return it otherwise
# return `unified` field.
emoji_code = emoji_dict.get("non_qualified") or emoji_dict["unified"]
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return emoji_code.lower()
# Returns a dict from categories to list of codepoints. The list of
# codepoints are sorted according to the `sort_order` as defined in
# `emoji_data`.
def generate_emoji_catalog(
emoji_data: List[Dict[str, Any]], emoji_name_maps: Dict[str, Dict[str, Any]]
) -> Dict[str, List[str]]:
sort_order: Dict[str, int] = {}
emoji_catalog: Dict[str, List[str]] = defaultdict(list)
for emoji_dict in emoji_data:
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emoji_code = get_emoji_code(emoji_dict)
if not emoji_is_universal(emoji_dict) or emoji_code not in emoji_name_maps:
continue
category = emoji_dict["category"]
sort_order[emoji_code] = emoji_dict["sort_order"]
emoji_catalog[category].append(emoji_code)
# Sort the emojis according to iamcal's sort order. This sorting determines the
# order in which emojis will be displayed in emoji picker.
for category in emoji_catalog:
emoji_catalog[category].sort(key=lambda emoji_code: sort_order[emoji_code])
return dict(emoji_catalog)
# Use only those names for which images are present in all
# the emoji sets so that we can switch emoji sets seamlessly.
def emoji_is_universal(emoji_dict: Dict[str, Any]) -> bool:
for emoji_set in EMOJISETS:
if not emoji_dict["has_img_" + emoji_set]:
return False
return True
def generate_codepoint_to_name_map(emoji_name_maps: Dict[str, Dict[str, Any]]) -> Dict[str, str]:
codepoint_to_name: Dict[str, str] = {}
for emoji_code, name_info in emoji_name_maps.items():
codepoint_to_name[emoji_code] = name_info["canonical_name"]
return codepoint_to_name
def generate_name_to_codepoint_map(emoji_name_maps: Dict[str, Dict[str, Any]]) -> Dict[str, str]:
name_to_codepoint = {}
for emoji_code, name_info in emoji_name_maps.items():
canonical_name = name_info["canonical_name"]
aliases = name_info["aliases"]
name_to_codepoint[canonical_name] = emoji_code
for alias in aliases:
name_to_codepoint[alias] = emoji_code
return name_to_codepoint