# 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 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) 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"] 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: 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