119 lines
3.9 KiB
Python
119 lines
3.9 KiB
Python
# Pyrogram - Telegram MTProto API Client Library for Python
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# Copyright (C) 2017-2018 Dan Tès <https://github.com/delivrance>
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#
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# This file is part of Pyrogram.
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#
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# Pyrogram is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Pyrogram is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with Pyrogram. If not, see <http://www.gnu.org/licenses/>.
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import re
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from pyrogram.api.types import (
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MessageEntityBold as Bold,
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MessageEntityItalic as Italic,
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MessageEntityCode as Code,
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MessageEntityTextUrl as Url,
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MessageEntityPre as Pre,
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InputMessageEntityMentionName as Mention
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)
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from . import utils
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class Markdown:
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INLINE_DELIMITERS = {
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"**": Bold,
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"__": Italic,
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"`": Code
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}
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# ``` python
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# for i in range(10):
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# print(i)
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# ```
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PRE_RE = r"(?P<pre>```(?P<lang>.*)\n(?P<code>(.|\n)*)\n```)"
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# [url](github.com)
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URL_RE = r"(?P<url>(\[(?P<url_text>.+?)\]\((?P<url_path>.+?)\)))"
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# [name](tg://user?id=123456789)
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MENTION_RE = r"(?P<mention>(\[(?P<mention_text>.+?)\]\(tg:\/\/user\?id=(?P<user_id>\d+?)\)))"
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# **bold**
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# __italic__
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# `code`
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INLINE_RE = r"(?P<inline>(?P<start_delimiter>{d})(?P<body>.+?)(?P<end_delimiter>{d}))".format(
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d="|".join(
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["".join(i) for i in [
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["\{}".format(j) for j in i]
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for i in sorted( # Sort delimiters by length
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INLINE_DELIMITERS.keys(),
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key=lambda k: len(k), # Or: key=len
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reverse=True
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)
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]]
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)
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)
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MARKDOWN_RE = re.compile("|".join([PRE_RE, MENTION_RE, URL_RE, INLINE_RE]))
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def __init__(self, peers_by_id):
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self.peers_by_id = peers_by_id
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def parse(self, text):
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entities = []
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text = utils.add_surrogates(text)
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offset = 0
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for match in self.MARKDOWN_RE.finditer(text):
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start = match.start() - offset
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if match.group("pre"):
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pattern = match.group("pre")
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lang = match.group("lang")
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replace = match.group("code")
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entity = Pre(start, len(replace), lang.strip())
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offset += len(lang) + 8
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elif match.group("url"):
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pattern = match.group("url")
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replace = match.group("url_text")
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path = match.group("url_path")
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entity = Url(start, len(replace), path)
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offset += len(path) + 4
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elif match.group("mention"):
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pattern = match.group("mention")
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replace = match.group("mention_text")
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user_id = match.group("user_id")
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entity = Mention(start, len(replace), self.peers_by_id[int(user_id)])
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offset += len(user_id) + 17
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elif match.group("inline"):
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pattern = match.group("inline")
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replace = match.group("body")
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start_delimiter = match.group("start_delimiter")
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end_delimiter = match.group("end_delimiter")
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if start_delimiter != end_delimiter:
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continue
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entity = self.INLINE_DELIMITERS[start_delimiter](start, len(replace))
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offset += len(start_delimiter) * 2
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else:
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continue
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entities.append(entity)
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text = text.replace(pattern, replace)
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return dict(
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message=utils.remove_surrogates(text),
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entities=entities
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)
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