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655 lines
28 KiB
655 lines
28 KiB
#!/usr/bin/python |
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# |
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# Copyright (C) 2017 The Android Open Source Project |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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""" |
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Creates the EmojiCompat font with the metadata. Metadata is embedded in FlatBuffers binary format |
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under a meta tag with name 'Emji'. |
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|
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In order to create the final font the followings are used as inputs: |
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- NotoColorEmoji.ttf: Emoji font in the Android framework. Currently at |
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external/noto-fonts/emoji/NotoColorEmoji.ttf |
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- Unicode files: Unicode files that are in the framework, and lists information about all the |
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emojis. These files are emoji-data.txt, emoji-sequences.txt, emoji-zwj-sequences.txt, |
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and emoji-variation-sequences.txt. Currently at external/unicode/. |
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- additions/emoji-zwj-sequences.txt: Includes emojis that are not defined in Unicode files, but are |
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in the Android font. Resides in framework and currently under external/unicode/. |
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- data/emoji_metadata.txt: The file that includes the id, codepoints, the first |
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Android OS version that the emoji was added (sdkAdded), and finally the first EmojiCompat font |
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version that the emoji was added (compatAdded). Updated when the script is executed. |
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- data/emoji_metadata.fbs: The flatbuffer schema file. See http://google.github.io/flatbuffers/. |
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After execution the following files are generated if they don't exist otherwise, they are updated: |
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- font/NotoColorEmojiCompat.ttf |
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- supported-emojis/emojis.txt |
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- data/emoji_metadata.txt |
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- src/java/android/support/text/emoji/flatbuffer/* |
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""" |
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from __future__ import print_function |
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import contextlib |
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import csv |
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import hashlib |
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import itertools |
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import json |
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import os |
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import shutil |
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import sys |
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import tempfile |
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from fontTools import ttLib |
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########### UPDATE OR CHECK WHEN A NEW FONT IS BEING GENERATED ########### |
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# Last Android SDK Version |
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SDK_VERSION = 26 |
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# metadata version that will be embedded into font. If there are updates to the font that would |
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# cause data/emoji_metadata.txt to change, this integer number should be incremented. This number |
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# defines in which EmojiCompat metadata version the emoji is added to the font. |
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METADATA_VERSION = 2 |
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|
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####### main directories where output files are created ####### |
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SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__)) |
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FONT_DIR = os.path.join(SCRIPT_DIR, 'font') |
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DATA_DIR = os.path.join(SCRIPT_DIR, 'data') |
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SUPPORTED_EMOJIS_DIR = os.path.join(SCRIPT_DIR, 'supported-emojis') |
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JAVA_SRC_DIR = os.path.join(SCRIPT_DIR, 'src', 'java') |
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####### output files ####### |
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# font file |
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FONT_PATH = os.path.join(FONT_DIR, 'NotoColorEmojiCompat.ttf') |
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# emoji metadata json output file |
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OUTPUT_META_FILE = os.path.join(DATA_DIR, 'emoji_metadata.txt') |
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# emojis test file |
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TEST_DATA_PATH = os.path.join(SUPPORTED_EMOJIS_DIR, 'emojis.txt') |
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####### input files ####### |
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# Unicode file names to read emoji data |
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EMOJI_DATA_FILE = 'emoji-data.txt' |
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EMOJI_SEQ_FILE = 'emoji-sequences.txt' |
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EMOJI_ZWJ_FILE = 'emoji-zwj-sequences.txt' |
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EMOJI_VARIATION_SEQ_FILE = 'emoji-variation-sequences.txt' |
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# Android OS emoji file for emojis that are not in Unicode files |
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ANDROID_EMOJI_ZWJ_SEQ_FILE = os.path.join('additions', 'emoji-zwj-sequences.txt') |
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ANDROID_EMOJIS_SEQ_FILE = os.path.join('additions', 'emoji-sequences.txt') |
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# Android OS emoji style override file. Codepoints that are rendered with emoji style by default |
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# even though not defined so in <code>emoji-data.txt</code>. |
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EMOJI_STYLE_OVERRIDE_FILE = os.path.join('additions', 'emoji-data.txt') |
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# emoji metadata file |
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INPUT_META_FILE = OUTPUT_META_FILE |
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# flatbuffer schema |
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FLATBUFFER_SCHEMA = os.path.join(DATA_DIR, 'emoji_metadata.fbs') |
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# file path for java header, it will be prepended to flatbuffer java files |
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FLATBUFFER_HEADER = os.path.join(DATA_DIR, "flatbuffer_header.txt") |
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# temporary emoji metadata json output file |
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OUTPUT_JSON_FILE_NAME = 'emoji_metadata.json' |
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# temporary binary file generated by flatbuffer |
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FLATBUFFER_BIN = 'emoji_metadata.bin' |
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# directory representation for flatbuffer java package |
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FLATBUFFER_PACKAGE_PATH = os.path.join('android', 'support', 'text', 'emoji', 'flatbuffer', '') |
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# temporary directory that contains flatbuffer java files |
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FLATBUFFER_JAVA_PATH = os.path.join(FLATBUFFER_PACKAGE_PATH) |
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FLATBUFFER_METADATA_LIST_JAVA = "MetadataList.java" |
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FLATBUFFER_METADATA_ITEM_JAVA = "MetadataItem.java" |
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# directory under source where flatbuffer java files will be copied into |
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FLATBUFFER_JAVA_TARGET = os.path.join(JAVA_SRC_DIR, FLATBUFFER_PACKAGE_PATH) |
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# meta tag name used in the font to embed the emoji metadata. This value is also used in |
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# MetadataListReader.java in order to locate the metadata location. |
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EMOJI_META_TAG_NAME = 'Emji' |
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EMOJI_PRESENTATION_STR = 'EMOJI_PRESENTATION' |
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STD_VARIANTS_EMOJI_STYLE = 'EMOJI STYLE' |
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DEFAULT_EMOJI_ID = 0xF0001 |
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EMOJI_STYLE_VS = 0xFE0F |
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def to_hex_str(value): |
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"""Converts given int value to hex without the 0x prefix""" |
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return format(value, 'X') |
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|
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def hex_str_to_int(string): |
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"""Convert a hex string into int""" |
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return int(string, 16) |
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def codepoint_to_string(codepoints): |
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"""Converts a list of codepoints into a string separated with space.""" |
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return ' '.join([to_hex_str(x) for x in codepoints]) |
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def prepend_header_to_file(file_path): |
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"""Prepends the header to the file. Used to update flatbuffer java files with header, comments |
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and annotations.""" |
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with open(file_path, "r+") as original_file: |
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with open(FLATBUFFER_HEADER, "r") as copyright_file: |
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original_content = original_file.read() |
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start_index = original_content.index("public final class") |
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original_file.seek(0) |
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original_file.write(copyright_file.read() + "\n" + original_content[start_index:]) |
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def update_flatbuffer_java_files(flatbuffer_java_dir): |
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"""Prepends headers to flatbuffer java files and copies to the final destination""" |
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tmp_metadata_list = flatbuffer_java_dir + FLATBUFFER_METADATA_LIST_JAVA |
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tmp_metadata_item = flatbuffer_java_dir + FLATBUFFER_METADATA_ITEM_JAVA |
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prepend_header_to_file(tmp_metadata_list) |
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prepend_header_to_file(tmp_metadata_item) |
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if not os.path.exists(FLATBUFFER_JAVA_TARGET): |
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os.makedirs(FLATBUFFER_JAVA_TARGET) |
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shutil.copy(tmp_metadata_list, FLATBUFFER_JAVA_TARGET + FLATBUFFER_METADATA_LIST_JAVA) |
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shutil.copy(tmp_metadata_item, FLATBUFFER_JAVA_TARGET + FLATBUFFER_METADATA_ITEM_JAVA) |
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def create_test_data(unicode_path): |
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"""Read all the emojis in the unicode files and update the test file""" |
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lines = read_emoji_lines(os.path.join(unicode_path, EMOJI_ZWJ_FILE)) |
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lines += read_emoji_lines(os.path.join(unicode_path, EMOJI_SEQ_FILE)) |
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lines += read_emoji_lines(os.path.join(unicode_path, ANDROID_EMOJI_ZWJ_SEQ_FILE), optional=True) |
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lines += read_emoji_lines(os.path.join(unicode_path, ANDROID_EMOJIS_SEQ_FILE), optional=True) |
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# standardized variants contains a huge list of sequences, only read the ones that are emojis |
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# and also the ones with FE0F (emoji style) |
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standardized_variants_lines = read_emoji_lines( |
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os.path.join(unicode_path, EMOJI_VARIATION_SEQ_FILE)) |
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for line in standardized_variants_lines: |
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if STD_VARIANTS_EMOJI_STYLE in line: |
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lines.append(line) |
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emojis_set = set() |
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for line in lines: |
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codepoints = [hex_str_to_int(x) for x in line.split(';')[0].strip().split(' ')] |
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emojis_set.add(codepoint_to_string(codepoints).upper()) |
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emoji_data_lines = read_emoji_lines(os.path.join(unicode_path, EMOJI_DATA_FILE)) |
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for line in emoji_data_lines: |
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codepoints_range, emoji_property = codepoints_and_emoji_prop(line) |
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is_emoji_style = emoji_property == EMOJI_PRESENTATION_STR |
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if is_emoji_style: |
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codepoints = [to_hex_str(x) for x in |
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codepoints_for_emojirange(codepoints_range)] |
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emojis_set.update(codepoints) |
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emoji_style_exceptions = get_emoji_style_exceptions(unicode_path) |
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# finally add the android default emoji exceptions |
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emojis_set.update([to_hex_str(x) for x in emoji_style_exceptions]) |
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emojis_list = list(emojis_set) |
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emojis_list.sort() |
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with open(TEST_DATA_PATH, "w") as test_file: |
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for line in emojis_list: |
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test_file.write("%s\n" % line) |
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class _EmojiData(object): |
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"""Holds the information about a single emoji.""" |
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def __init__(self, codepoints, is_emoji_style): |
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self.codepoints = codepoints |
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self.emoji_style = is_emoji_style |
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self.emoji_id = 0 |
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self.width = 0 |
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self.height = 0 |
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self.sdk_added = SDK_VERSION |
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self.compat_added = METADATA_VERSION |
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def update_metrics(self, metrics): |
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"""Updates width/height instance variables with the values given in metrics dictionary. |
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:param metrics: a dictionary object that has width and height values. |
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""" |
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self.width = metrics.width |
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self.height = metrics.height |
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def __repr__(self): |
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return '<EmojiData {0} - {1}>'.format(self.emoji_style, |
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codepoint_to_string(self.codepoints)) |
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def create_json_element(self): |
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"""Creates the json representation of EmojiData.""" |
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json_element = {} |
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json_element['id'] = self.emoji_id |
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json_element['emojiStyle'] = self.emoji_style |
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json_element['sdkAdded'] = self.sdk_added |
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json_element['compatAdded'] = self.compat_added |
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json_element['width'] = self.width |
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json_element['height'] = self.height |
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json_element['codepoints'] = self.codepoints |
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return json_element |
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def create_txt_row(self): |
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"""Creates array of values for CSV of EmojiData.""" |
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row = [to_hex_str(self.emoji_id), self.sdk_added, self.compat_added] |
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row += [to_hex_str(x) for x in self.codepoints] |
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return row |
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def update(self, emoji_id, sdk_added, compat_added): |
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"""Updates current EmojiData with the values in a json element""" |
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self.emoji_id = emoji_id |
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self.sdk_added = sdk_added |
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self.compat_added = compat_added |
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def read_emoji_lines(file_path, optional=False): |
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"""Read all lines in an unicode emoji file into a list of uppercase strings. Ignore the empty |
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lines and comments |
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:param file_path: unicode emoji file path |
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:param optional: if True no exception is raised when the file cannot be read |
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:return: list of uppercase strings |
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""" |
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result = [] |
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try: |
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with open(file_path) as file_stream: |
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for line in file_stream: |
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line = line.strip() |
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if line and not line.startswith('#'): |
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result.append(line.upper()) |
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except IOError: |
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if optional: |
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pass |
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else: |
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raise |
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return result |
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def get_emoji_style_exceptions(unicode_path): |
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"""Read EMOJI_STYLE_OVERRIDE_FILE and return the codepoints as integers""" |
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lines = read_emoji_lines(os.path.join(unicode_path, EMOJI_STYLE_OVERRIDE_FILE)) |
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exceptions = [] |
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for line in lines: |
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codepoint = hex_str_to_int(codepoints_and_emoji_prop(line)[0]) |
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exceptions.append(codepoint) |
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return exceptions |
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def codepoints_for_emojirange(codepoints_range): |
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""" Return codepoints given in emoji files. Expand the codepoints that are given as a range |
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such as XYZ ... UVT |
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""" |
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codepoints = [] |
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if '..' in codepoints_range: |
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range_start, range_end = codepoints_range.split('..') |
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codepoints_range = range(hex_str_to_int(range_start), |
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hex_str_to_int(range_end) + 1) |
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codepoints.extend(codepoints_range) |
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else: |
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codepoints.append(hex_str_to_int(codepoints_range)) |
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return codepoints |
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def codepoints_and_emoji_prop(line): |
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"""For a given emoji file line, return codepoints and emoji property in the line. |
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1F93C..1F93E ; [Emoji|Emoji_Presentation|Emoji_Modifier_Base] # [...]""" |
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line = line.strip() |
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if '#' in line: |
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line = line[:line.index('#')] |
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else: |
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raise ValueError("Line is expected to have # in it") |
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line = line.split(';') |
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codepoints_range = line[0].strip() |
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emoji_property = line[1].strip() |
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return codepoints_range, emoji_property |
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def read_emoji_intervals(emoji_data_map, file_path, emoji_style_exceptions): |
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"""Read unicode lines of unicode emoji file in which each line describes a set of codepoint |
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intervals. Expands the interval on a line and inserts related EmojiDatas into emoji_data_map. |
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A line format that is expected is as follows: |
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1F93C..1F93E ; [Emoji|Emoji_Presentation|Emoji_Modifier_Base] # [...]""" |
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lines = read_emoji_lines(file_path) |
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for line in lines: |
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codepoints_range, emoji_property = codepoints_and_emoji_prop(line) |
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is_emoji_style = emoji_property == EMOJI_PRESENTATION_STR |
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codepoints = codepoints_for_emojirange(codepoints_range) |
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for codepoint in codepoints: |
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key = codepoint_to_string([codepoint]) |
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codepoint_is_emoji_style = is_emoji_style or codepoint in emoji_style_exceptions |
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if key in emoji_data_map: |
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# since there are multiple definitions of emojis, only update when emoji style is |
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# True |
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if codepoint_is_emoji_style: |
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emoji_data_map[key].emoji_style = True |
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else: |
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emoji_data = _EmojiData([codepoint], codepoint_is_emoji_style) |
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emoji_data_map[key] = emoji_data |
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def read_emoji_sequences(emoji_data_map, file_path, optional=False): |
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"""Reads the content of the file which contains emoji sequences. Creates EmojiData for each |
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line and puts into emoji_data_map.""" |
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lines = read_emoji_lines(file_path, optional) |
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# 1F1E6 1F1E8 ; Name ; [...] |
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for line in lines: |
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codepoints = [hex_str_to_int(x) for x in line.split(';')[0].strip().split(' ')] |
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codepoints = [x for x in codepoints if x != EMOJI_STYLE_VS] |
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key = codepoint_to_string(codepoints) |
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if not key in emoji_data_map: |
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emoji_data = _EmojiData(codepoints, False) |
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emoji_data_map[key] = emoji_data |
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def load_emoji_data_map(unicode_path): |
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"""Reads the emoji data files, constructs a map of space separated codepoints to EmojiData. |
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:return: map of space separated codepoints to EmojiData |
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""" |
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emoji_data_map = {} |
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emoji_style_exceptions = get_emoji_style_exceptions(unicode_path) |
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read_emoji_intervals(emoji_data_map, os.path.join(unicode_path, EMOJI_DATA_FILE), |
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emoji_style_exceptions) |
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read_emoji_sequences(emoji_data_map, os.path.join(unicode_path, EMOJI_ZWJ_FILE)) |
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read_emoji_sequences(emoji_data_map, os.path.join(unicode_path, EMOJI_SEQ_FILE)) |
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# Add the optional ANDROID_EMOJI_ZWJ_SEQ_FILE if it exists. |
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read_emoji_sequences(emoji_data_map, os.path.join(unicode_path, ANDROID_EMOJI_ZWJ_SEQ_FILE), |
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optional=True) |
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# Add the optional ANDROID_EMOJIS_SEQ_FILE if it exists. |
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read_emoji_sequences(emoji_data_map, os.path.join(unicode_path, ANDROID_EMOJIS_SEQ_FILE), |
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optional=True) |
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return emoji_data_map |
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def load_previous_metadata(emoji_data_map): |
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"""Updates emoji data elements in emoji_data_map using the id, sdk_added and compat_added fields |
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in emoji_metadata.txt. Returns the smallest available emoji id to use. i.e. if the largest |
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emoji id emoji_metadata.txt is 1, function would return 2. If emoji_metadata.txt does not |
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exist, or contains no emojis defined returns DEFAULT_EMOJI_ID""" |
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current_emoji_id = DEFAULT_EMOJI_ID |
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if os.path.isfile(INPUT_META_FILE): |
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with open(INPUT_META_FILE) as csvfile: |
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reader = csv.reader(csvfile, delimiter=' ') |
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for row in reader: |
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if row[0].startswith('#'): |
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continue |
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emoji_id = hex_str_to_int(row[0]) |
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sdk_added = int(row[1]) |
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compat_added = int(row[2]) |
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key = codepoint_to_string(hex_str_to_int(x) for x in row[3:]) |
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if key in emoji_data_map: |
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emoji_data = emoji_data_map[key] |
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emoji_data.update(emoji_id, sdk_added, compat_added) |
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if emoji_data.emoji_id >= current_emoji_id: |
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current_emoji_id = emoji_data.emoji_id + 1 |
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return current_emoji_id |
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def update_ttlib_orig_sort(): |
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"""Updates the ttLib tag sort with a closure that makes the meta table first.""" |
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orig_sort = ttLib.sortedTagList |
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|
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def meta_first_table_sort(tag_list, table_order=None): |
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"""Sorts the tables with the original ttLib sort, then makes the meta table first.""" |
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tag_list = orig_sort(tag_list, table_order) |
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tag_list.remove('meta') |
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tag_list.insert(0, 'meta') |
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return tag_list |
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ttLib.sortedTagList = meta_first_table_sort |
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def inject_meta_into_font(ttf, flatbuffer_bin_filename): |
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"""inject metadata binary into font""" |
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if not 'meta' in ttf: |
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ttf['meta'] = ttLib.getTableClass('meta')() |
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meta = ttf['meta'] |
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with open(flatbuffer_bin_filename) as flatbuffer_bin_file: |
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meta.data[EMOJI_META_TAG_NAME] = flatbuffer_bin_file.read() |
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|
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# sort meta tables for faster access |
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update_ttlib_orig_sort() |
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def validate_input_files(font_path, unicode_path): |
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"""Validate the existence of font file and the unicode files""" |
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if not os.path.isfile(font_path): |
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raise ValueError("Font file does not exist: " + font_path) |
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|
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if not os.path.isdir(unicode_path): |
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raise ValueError( |
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"Unicode directory does not exist or is not a directory " + unicode_path) |
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|
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emoji_filenames = [os.path.join(unicode_path, EMOJI_DATA_FILE), |
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os.path.join(unicode_path, EMOJI_ZWJ_FILE), |
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os.path.join(unicode_path, EMOJI_SEQ_FILE)] |
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for emoji_filename in emoji_filenames: |
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if not os.path.isfile(emoji_filename): |
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raise ValueError("Unicode emoji data file does not exist: " + emoji_filename) |
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|
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def add_file_to_sha(sha_algo, file_path): |
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with open(file_path, 'rb') as input_file: |
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for data in iter(lambda: input_file.read(8192), ''): |
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sha_algo.update(data) |
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|
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def create_sha_from_source_files(font_paths): |
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"""Creates a SHA from the given font files""" |
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sha_algo = hashlib.sha256() |
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for file_path in font_paths: |
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add_file_to_sha(sha_algo, file_path) |
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return sha_algo.hexdigest() |
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class EmojiFontCreator(object): |
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"""Creates the EmojiCompat font""" |
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def __init__(self, font_path, unicode_path): |
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validate_input_files(font_path, unicode_path) |
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self.font_path = font_path |
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self.unicode_path = unicode_path |
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self.emoji_data_map = {} |
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self.remapped_codepoints = {} |
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self.glyph_to_image_metrics_map = {} |
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# set default emoji id to start of Supplemental Private Use Area-A |
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self.emoji_id = DEFAULT_EMOJI_ID |
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def update_emoji_data(self, codepoints, glyph_name): |
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"""Updates the existing EmojiData identified with codepoints. The fields that are set are: |
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- emoji_id (if it does not exist) |
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- image width/height""" |
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key = codepoint_to_string(codepoints) |
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if key in self.emoji_data_map: |
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# add emoji to final data |
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emoji_data = self.emoji_data_map[key] |
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emoji_data.update_metrics(self.glyph_to_image_metrics_map[glyph_name]) |
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if emoji_data.emoji_id == 0: |
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emoji_data.emoji_id = self.emoji_id |
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self.emoji_id = self.emoji_id + 1 |
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self.remapped_codepoints[emoji_data.emoji_id] = glyph_name |
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def read_cbdt(self, ttf): |
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"""Read image size data from CBDT.""" |
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cbdt = ttf['CBDT'] |
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for strike_data in cbdt.strikeData: |
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for key, data in strike_data.iteritems(): |
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data.decompile() |
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self.glyph_to_image_metrics_map[key] = data.metrics |
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|
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def read_cmap12(self, ttf, glyph_to_codepoint_map): |
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"""Reads single code point emojis that are in cmap12, updates glyph_to_codepoint_map and |
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finally clears all elements in CMAP 12""" |
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cmap = ttf['cmap'] |
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for table in cmap.tables: |
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if table.format == 12 and table.platformID == 3 and table.platEncID == 10: |
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for codepoint, glyph_name in table.cmap.iteritems(): |
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glyph_to_codepoint_map[glyph_name] = codepoint |
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self.update_emoji_data([codepoint], glyph_name) |
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return table |
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raise ValueError("Font doesn't contain cmap with format:12, platformID:3 and platEncID:10") |
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|
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def read_gsub(self, ttf, glyph_to_codepoint_map): |
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"""Reads the emoji sequences defined in GSUB and clear all elements under GSUB""" |
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gsub = ttf['GSUB'] |
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for lookup in gsub.table.LookupList.Lookup: |
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for subtable in lookup.SubTable: |
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if subtable.LookupType == 5: |
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self.add_gsub_context_subtable(subtable, gsub.table.LookupList, |
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glyph_to_codepoint_map) |
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elif subtable.LookupType == 4: |
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self.add_gsub_ligature_subtable(subtable, glyph_to_codepoint_map) |
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|
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def add_gsub_context_subtable(self, subtable, lookup_list, glyph_to_codepoint_map): |
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"""Add substitutions defined as OpenType Context Substitution""" |
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for sub_class_set in subtable.SubClassSet: |
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if sub_class_set: |
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for sub_class_rule in sub_class_set.SubClassRule: |
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# prepare holder for substitution list. each rule will have a list that is added |
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# to the subs_list. |
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subs_list = len(sub_class_rule.SubstLookupRecord) * [None] |
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for record in sub_class_rule.SubstLookupRecord: |
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subs_list[record.SequenceIndex] = self.get_substitutions(lookup_list, |
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record.LookupListIndex) |
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# create combinations or all lists. the combinations will be filtered by |
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# emoji_data_map. the first element that contain as a valid glyph will be used |
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# as the final glyph |
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combinations = list(itertools.product(*subs_list)) |
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for seq in combinations: |
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glyph_names = [x["input"] for x in seq] |
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codepoints = [glyph_to_codepoint_map[x] for x in glyph_names] |
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outputs = [x["output"] for x in seq if x["output"]] |
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nonempty_outputs = filter(lambda x: x.strip() , outputs) |
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if len(nonempty_outputs) == 0: |
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print("Warning: no output glyph is set for " + str(glyph_names)) |
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continue |
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elif len(nonempty_outputs) > 1: |
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print( |
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"Warning: multiple glyph is set for " |
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+ str(glyph_names) + ", will use the first one") |
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|
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glyph = nonempty_outputs[0] |
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self.update_emoji_data(codepoints, glyph) |
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|
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def get_substitutions(self, lookup_list, index): |
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result = [] |
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for x in lookup_list.Lookup[index].SubTable: |
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for input, output in x.mapping.iteritems(): |
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result.append({"input": input, "output": output}) |
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return result |
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|
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def add_gsub_ligature_subtable(self, subtable, glyph_to_codepoint_map): |
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for name, ligatures in subtable.ligatures.iteritems(): |
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for ligature in ligatures: |
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glyph_names = [name] + ligature.Component |
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codepoints = [glyph_to_codepoint_map[x] for x in glyph_names] |
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self.update_emoji_data(codepoints, ligature.LigGlyph) |
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|
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def write_metadata_json(self, output_json_file_path): |
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"""Writes the emojis into a json file""" |
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output_json = {} |
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output_json['version'] = METADATA_VERSION |
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output_json['sourceSha'] = create_sha_from_source_files( |
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[self.font_path, OUTPUT_META_FILE, FLATBUFFER_SCHEMA]) |
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output_json['list'] = [] |
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emoji_data_list = sorted(self.emoji_data_map.values(), key=lambda x: x.emoji_id) |
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|
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total_emoji_count = 0 |
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for emoji_data in emoji_data_list: |
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element = emoji_data.create_json_element() |
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output_json['list'].append(element) |
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total_emoji_count = total_emoji_count + 1 |
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|
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# write the new json file to be processed by FlatBuffers |
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with open(output_json_file_path, 'w') as json_file: |
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print(json.dumps(output_json, indent=4, sort_keys=True, separators=(',', ':')), |
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file=json_file) |
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|
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return total_emoji_count |
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|
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def write_metadata_csv(self): |
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"""Writes emoji metadata into space separated file""" |
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with open(OUTPUT_META_FILE, 'w') as csvfile: |
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csvwriter = csv.writer(csvfile, delimiter=' ') |
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emoji_data_list = sorted(self.emoji_data_map.values(), key=lambda x: x.emoji_id) |
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csvwriter.writerow(['#id', 'sdkAdded', 'compatAdded', 'codepoints']) |
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for emoji_data in emoji_data_list: |
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csvwriter.writerow(emoji_data.create_txt_row()) |
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|
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def create_font(self): |
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"""Creates the EmojiCompat font. |
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:param font_path: path to Android NotoColorEmoji font |
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:param unicode_path: path to directory that contains unicode files |
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""" |
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|
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tmp_dir = tempfile.mkdtemp() |
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|
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# create emoji codepoints to EmojiData map |
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self.emoji_data_map = load_emoji_data_map(self.unicode_path) |
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|
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# read previous metadata file to update id, sdkAdded and compatAdded. emoji id that is |
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# returned is either default or 1 greater than the largest id in previous data |
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self.emoji_id = load_previous_metadata(self.emoji_data_map) |
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|
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# recalcTimestamp parameter will keep the modified field same as the original font. Changing |
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# the modified field in the font causes the font ttf file to change, which makes it harder |
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# to understand if something really changed in the font. |
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with contextlib.closing(ttLib.TTFont(self.font_path, recalcTimestamp=False)) as ttf: |
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# read image size data |
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self.read_cbdt(ttf) |
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|
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# glyph name to codepoint map |
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glyph_to_codepoint_map = {} |
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|
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# read single codepoint emojis under cmap12 and clear the table contents |
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cmap12_table = self.read_cmap12(ttf, glyph_to_codepoint_map) |
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|
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# read emoji sequences gsub and clear the table contents |
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self.read_gsub(ttf, glyph_to_codepoint_map) |
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|
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# add all new codepoint to glyph mappings |
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cmap12_table.cmap.update(self.remapped_codepoints) |
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|
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# final metadata csv will be used to generate the sha, therefore write it before |
|
# metadata json is written. |
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self.write_metadata_csv() |
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|
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output_json_file = os.path.join(tmp_dir, OUTPUT_JSON_FILE_NAME) |
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flatbuffer_bin_file = os.path.join(tmp_dir, FLATBUFFER_BIN) |
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flatbuffer_java_dir = os.path.join(tmp_dir, FLATBUFFER_JAVA_PATH) |
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|
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total_emoji_count = self.write_metadata_json(output_json_file) |
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|
|
# create the flatbuffers binary and java classes |
|
sys_command = 'flatc -o {0} -b -j {1} {2}' |
|
os.system(sys_command.format(tmp_dir, FLATBUFFER_SCHEMA, output_json_file)) |
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|
|
# inject metadata binary into font |
|
inject_meta_into_font(ttf, flatbuffer_bin_file) |
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|
|
# save the new font |
|
ttf.save(FONT_PATH) |
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|
|
update_flatbuffer_java_files(flatbuffer_java_dir) |
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|
|
create_test_data(self.unicode_path) |
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|
|
# clear the tmp output directory |
|
shutil.rmtree(tmp_dir, ignore_errors=True) |
|
|
|
print( |
|
"{0} emojis are written to\n{1}".format(total_emoji_count, FONT_DIR)) |
|
|
|
|
|
def print_usage(): |
|
"""Prints how to use the script.""" |
|
print("Please specify a path to font and unicode files.\n" |
|
"usage: createfont.py noto-color-emoji-path unicode-dir-path") |
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|
|
|
|
if __name__ == '__main__': |
|
if len(sys.argv) < 3: |
|
print_usage() |
|
sys.exit(1) |
|
EmojiFontCreator(sys.argv[1], sys.argv[2]).create_font()
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|
|