mirror of https://github.com/zulip/zulip.git
293 lines
12 KiB
Python
Executable File
293 lines
12 KiB
Python
Executable File
#!/usr/bin/env python3
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#
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# See docs/subsystems/emoji.md for a high-level explanation of how this system
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# works.
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import os
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import shutil
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import sys
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import ujson
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from typing import Any, Dict, List, Optional
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from emoji_setup_utils import generate_emoji_catalog, generate_codepoint_to_name_map, \
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get_emoji_code, generate_name_to_codepoint_map, emoji_names_for_picker, \
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EMOJISETS, EMOTICON_CONVERSIONS, REMAPPED_EMOJIS
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from emoji_names import EMOJI_NAME_MAPS
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ZULIP_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../../../')
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sys.path.append(ZULIP_PATH)
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from scripts.lib.zulip_tools import generate_sha1sum_emoji, run
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TARGET_EMOJI_DUMP = os.path.join(ZULIP_PATH, 'static', 'generated', 'emoji')
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EMOJI_CACHE_PATH = "/srv/zulip-emoji-cache"
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EMOJI_SCRIPT_DIR_PATH = os.path.join(ZULIP_PATH, 'tools', 'setup', 'emoji')
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NODE_MODULES_PATH = os.path.join(ZULIP_PATH, 'node_modules')
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EMOJI_CODES_FILE_TEMPLATE = """\
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var emoji_codes = (function () {
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var exports = {};
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exports.names = %(names)s;
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exports.name_to_codepoint = %(name_to_codepoint)s;
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exports.codepoint_to_name = %(codepoint_to_name)s;
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exports.emoji_catalog = %(emoji_catalog)s;
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exports.emoticon_conversions = %(emoticon_conversions)s;
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return exports;
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}());
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if (typeof module !== 'undefined') {
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module.exports = emoji_codes;
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}
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"""
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SPRITE_CSS_FILE_TEMPLATE = """\
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div.emoji,
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span.emoji
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{
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display: inline-block;
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background-image: url('sheet-%(emojiset)s-64.png');
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-webkit-background-size: 5200%%;
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-moz-background-size: 5200%%;
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background-size: 5200%%;
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background-repeat: no-repeat;
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/* Hide the text. */
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text-indent: 100%%;
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white-space: nowrap;
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overflow: hidden;
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}
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.emoji-1f419
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{
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background-image: url('images-google-64/1f419.png') !important;
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background-position: 0%% 0%% !important;
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background-size: contain !important;
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}
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%(emoji_positions)s
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"""
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EMOJI_POS_INFO_TEMPLATE = """\
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.emoji-%(codepoint)s {
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background-position: %(pos_x)s%% %(pos_y)s%%;
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}
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"""
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# change directory
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os.chdir(EMOJI_SCRIPT_DIR_PATH)
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if 'TRAVIS' in os.environ:
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# In Travis CI, we don't have root access
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EMOJI_CACHE_PATH = "/home/travis/zulip-emoji-cache"
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def main() -> None:
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success_stamp = get_success_stamp()
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source_emoji_dump = os.path.dirname(success_stamp)
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if not os.path.exists(success_stamp):
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print("Dumping emojis ...")
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dump_emojis(source_emoji_dump)
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run(['touch', success_stamp])
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print("Using cached emojis from {}".format(source_emoji_dump))
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run(['rm', '-rf', TARGET_EMOJI_DUMP])
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os.symlink(source_emoji_dump, TARGET_EMOJI_DUMP)
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def get_success_stamp() -> str:
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sha1_hexdigest = generate_sha1sum_emoji(ZULIP_PATH)
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return os.path.join(EMOJI_CACHE_PATH, sha1_hexdigest, 'emoji', '.success-stamp')
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def generate_sprite_css_files(cache_path: str,
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emoji_data: List[Dict[str, Any]],
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emojiset: str) -> None:
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def get_max_val(field: str, emoji_data: List[Dict[str, Any]]) -> int:
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max_val = 0
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for emoji_dict in emoji_data:
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max_val = max(max_val, emoji_dict[field])
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if 'skin_variations' in emoji_dict:
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for skin_tone, img_info in emoji_dict['skin_variations'].items():
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max_val = max(max_val, img_info[field])
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return max_val
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# Spritesheet CSS generation code. Spritesheets are squared using
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# padding, so we have to take only the maximum of two dimensions.
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nrows = get_max_val('sheet_x', emoji_data)
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ncols = get_max_val('sheet_y', emoji_data)
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max_dim = max(nrows, ncols)
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emoji_positions = ""
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for emoji in emoji_data:
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if emoji["has_img_google"]:
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# Why is the test here has_img_google and not
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# emoji_is_universal? Because we briefly supported all
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# Google emoji (not just the universal ones), we need to
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# ensure the spritesheet is setup to correctly display
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# those google emoji (in case anyone used them).
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emoji_positions += EMOJI_POS_INFO_TEMPLATE % {
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'codepoint': get_emoji_code(emoji),
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'pos_x': (emoji["sheet_x"] * 100) / max_dim,
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'pos_y': (emoji["sheet_y"] * 100) / max_dim,
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}
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SPRITE_CSS_PATH = os.path.join(cache_path, '%s-sprite.css' % (emojiset,))
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sprite_css_file = open(SPRITE_CSS_PATH, 'w')
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sprite_css_file.write(SPRITE_CSS_FILE_TEMPLATE % {'emojiset': emojiset,
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'emoji_positions': emoji_positions,
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})
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sprite_css_file.close()
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def setup_emoji_farms(cache_path: str, emoji_data: List[Dict[str, Any]]) -> None:
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def ensure_emoji_image(emoji_dict: Dict[str, Any],
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src_emoji_farm: str,
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target_emoji_farm: str) -> None:
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# We use individual images from emoji farm for rendering emojis
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# in notification messages. We have a custom emoji formatter in
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# notifications processing code that converts `span` tags to
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# `img` and that logic requires us to have non-qualified
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# `emoji_code` as file name for emoji.
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emoji_code = get_emoji_code(emoji_dict)
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img_file_name = emoji_code + '.png'
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src_file = os.path.join(src_emoji_farm, emoji_dict['image'])
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dst_file = os.path.join(target_emoji_farm, img_file_name)
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shutil.copy2(src_file, dst_file)
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def setup_emoji_farm(emojiset: str,
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emoji_data: List[Dict[str, Any]],
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alt_name: Optional[str]=None) -> None:
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# `alt_name` is an optional parameter that we use to avoid duplicating below
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# code. It is only used while setting up google-blob emojiset as it is just
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# a wrapper for an older version of emoji-datasource package due to which we
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# need to use 'google' at some places in this code. It has no meaning for other
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# emojisets and is just equivalent to `emojiset`.
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alt_name = alt_name or emojiset
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# Copy individual emoji images from npm packages.
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src_emoji_farm = os.path.join(
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NODE_MODULES_PATH, 'emoji-datasource-' + emojiset, 'img', alt_name, '64')
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target_emoji_farm = os.path.join(cache_path, 'images-' + emojiset + '-64')
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run(['mkdir', '-p', target_emoji_farm])
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print("Copying individual image files...")
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for emoji_dict in emoji_data:
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if emoji_dict['has_img_' + alt_name]:
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ensure_emoji_image(emoji_dict, src_emoji_farm, target_emoji_farm)
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skin_variations = emoji_dict.get('skin_variations', {})
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for skin_tone, img_info in skin_variations.items():
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if img_info['has_img_' + alt_name]:
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ensure_emoji_image(img_info, src_emoji_farm, target_emoji_farm)
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# Copy zulip.png to the emoji farm.
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zulip_image = "{}/static/assets/zulip-emoji/*".format(ZULIP_PATH)
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run(['cp', '-RPp', zulip_image, target_emoji_farm], shell=True)
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# Copy spritesheets.
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emoji_data_path = os.path.join(NODE_MODULES_PATH, 'emoji-datasource-' + emojiset)
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input_sprite_sheet = os.path.join(emoji_data_path, 'img', alt_name, 'sheets-256', '64.png')
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output_sprite_sheet = os.path.join(cache_path, 'sheet-%s-64.png' % (emojiset,))
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run(['cp', input_sprite_sheet, output_sprite_sheet])
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# We hardcode octopus emoji image to Google emojiset's old
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# "cute octopus" image. Copy it to the emoji farms.
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input_img_file = os.path.join(EMOJI_SCRIPT_DIR_PATH, '1f419.png')
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output_img_file = os.path.join(cache_path, 'images-' + emojiset + '-64', '1f419.png')
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run(['cp', input_img_file, output_img_file])
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generate_sprite_css_files(cache_path, emoji_data, emojiset)
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# Setup standard emojisets.
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for emojiset in ['google', 'twitter']:
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setup_emoji_farm(emojiset, emoji_data)
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# Setup old google "blobs" emojiset.
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GOOGLE_BLOB_EMOJI_DATA_PATH = os.path.join(NODE_MODULES_PATH,
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'emoji-datasource-google-blob',
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'emoji.json')
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with open(GOOGLE_BLOB_EMOJI_DATA_PATH) as fp:
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blob_emoji_data = ujson.load(fp)
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setup_emoji_farm('google-blob', blob_emoji_data, 'google')
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def setup_old_emoji_farm(cache_path: str,
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emoji_map: Dict[str, str],
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emoji_data: List[Dict[str, Any]]) -> None:
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# Code for setting up old emoji farm.
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os.chdir(cache_path)
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emoji_cache_path = os.path.join(cache_path, 'images', 'emoji')
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unicode_emoji_cache_path = os.path.join(cache_path, 'images', 'emoji', 'unicode')
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google_emoji_cache_path = os.path.join(cache_path, 'images-google-64')
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run(['mkdir', '-p', emoji_cache_path])
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run(['mkdir', '-p', unicode_emoji_cache_path])
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# Symlink zulip.png image file.
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image_file_path = os.path.join(google_emoji_cache_path, 'zulip.png')
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symlink_path = os.path.join(emoji_cache_path, 'zulip.png')
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os.symlink(image_file_path, symlink_path)
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unicode_symlink_path = os.path.join(unicode_emoji_cache_path, 'zulip.png')
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os.symlink(image_file_path, unicode_symlink_path)
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for name, codepoint in emoji_map.items():
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mapped_codepoint = REMAPPED_EMOJIS.get(codepoint, codepoint)
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image_file_path = os.path.join(google_emoji_cache_path, '{}.png'.format(mapped_codepoint))
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symlink_path = os.path.join(emoji_cache_path, '{}.png'.format(name))
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os.symlink(image_file_path, symlink_path)
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try:
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# `emoji_map` contains duplicate entries for the same codepoint with different
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# names. So creation of symlink for <codepoint>.png may throw `FileExistsError`.
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unicode_symlink_path = os.path.join(unicode_emoji_cache_path, '{}.png'.format(codepoint))
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os.symlink(image_file_path, unicode_symlink_path)
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except FileExistsError:
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pass
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def generate_map_files(cache_path: str, emoji_catalog: Dict[str, List[str]]) -> None:
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# This function generates the various data files consumed by webapp, mobile apps, bugdown etc.
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names = emoji_names_for_picker(EMOJI_NAME_MAPS)
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codepoint_to_name = generate_codepoint_to_name_map(EMOJI_NAME_MAPS)
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name_to_codepoint = generate_name_to_codepoint_map(EMOJI_NAME_MAPS)
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EMOJI_CODES_FILE_PATH = os.path.join(cache_path, 'emoji_codes.js')
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with open(EMOJI_CODES_FILE_PATH, 'w') as emoji_codes_file:
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emoji_codes_file.write(EMOJI_CODES_FILE_TEMPLATE % {
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'names': names,
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'name_to_codepoint': name_to_codepoint,
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'codepoint_to_name': codepoint_to_name,
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'emoji_catalog': emoji_catalog,
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'emoticon_conversions': EMOTICON_CONVERSIONS,
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})
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NAME_TO_CODEPOINT_PATH = os.path.join(cache_path, 'name_to_codepoint.json')
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with open(NAME_TO_CODEPOINT_PATH, 'w') as name_to_codepoint_file:
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name_to_codepoint_file.write(ujson.dumps(name_to_codepoint))
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CODEPOINT_TO_NAME_PATH = os.path.join(cache_path, 'codepoint_to_name.json')
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with open(CODEPOINT_TO_NAME_PATH, 'w') as codepoint_to_name_file:
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codepoint_to_name_file.write(ujson.dumps(codepoint_to_name))
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EMOTICON_CONVERSIONS_PATH = os.path.join(cache_path, 'emoticon_conversions.json')
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with open(EMOTICON_CONVERSIONS_PATH, 'w') as emoticon_conversions_file:
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emoticon_conversions_file.write(ujson.dumps(EMOTICON_CONVERSIONS))
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def dump_emojis(cache_path: str) -> None:
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with open('emoji_map.json') as emoji_map_file:
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emoji_map = ujson.load(emoji_map_file)
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# `emoji.json` or any other data file can be sourced from any of the supported
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# emojiset packages, they all contain the same data files.
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EMOJI_DATA_FILE_PATH = os.path.join(NODE_MODULES_PATH, 'emoji-datasource-google', 'emoji.json')
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with open(EMOJI_DATA_FILE_PATH) as emoji_data_file:
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emoji_data = ujson.load(emoji_data_file)
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emoji_catalog = generate_emoji_catalog(emoji_data, EMOJI_NAME_MAPS)
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# Setup emoji farms.
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run(['rm', '-rf', cache_path])
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setup_emoji_farms(cache_path, emoji_data)
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setup_old_emoji_farm(cache_path, emoji_map, emoji_data)
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# Generate various map files.
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generate_map_files(cache_path, emoji_catalog)
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if __name__ == "__main__":
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main()
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