Vladless
911 lines
33 KiB
Python
911 lines
33 KiB
Python
from __future__ import annotations
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import re
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from typing import Any, Iterable
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from aiogram import Bot
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from aiogram.enums import MessageEntityType
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from aiogram.types import MessageEntity
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from logger import logger
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_PLACEHOLDER_CACHE: dict[str, str] = {}
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_BOT: Bot | None = None
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_MARKER_RE = re.compile(r"\{emoji:(\d+)\}|\[emoji:(\d+)\]")
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_CODE_BLOCK_RE = re.compile(r"<code[^>]*>(.*?)</code>", re.IGNORECASE | re.DOTALL)
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_PRE_BLOCK_RE = re.compile(r"<pre[^>]*>(.*?)</pre>", re.IGNORECASE | re.DOTALL)
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def _get_protected_ranges(text: str) -> list[tuple[int, int]]:
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"""Return ranges inside <code> and <pre> tags to skip replacements."""
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ranges: list[tuple[int, int]] = []
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for match in _CODE_BLOCK_RE.finditer(text):
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ranges.append((match.start(1), match.end(1)))
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for match in _PRE_BLOCK_RE.finditer(text):
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ranges.append((match.start(1), match.end(1)))
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return ranges
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def _is_in_ranges(pos: int, ranges: list[tuple[int, int]]) -> bool:
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for start, end in ranges:
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if start <= pos < end:
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return True
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return False
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def _utf16_len(text: str) -> int:
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"""Length of string in UTF-16 code units."""
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return len(text.encode("utf-16-le")) // 2
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async def _fetch_placeholder(emoji_id: str) -> str:
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"""Resolve a custom emoji id to a visible placeholder emoji."""
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if emoji_id in _PLACEHOLDER_CACHE:
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return _PLACEHOLDER_CACHE[emoji_id]
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if _BOT is None:
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return "😀"
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try:
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stickers = await _BOT.get_custom_emoji_stickers(custom_emoji_ids=[emoji_id])
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if stickers:
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sticker = stickers[0]
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placeholder = None
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if getattr(sticker, "emoji", None):
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placeholder = sticker.emoji
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elif getattr(sticker, "alt", None):
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placeholder = sticker.alt
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if placeholder:
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_PLACEHOLDER_CACHE[emoji_id] = placeholder
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return placeholder
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except Exception:
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pass
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return "😀"
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async def _replace_markers(text: str) -> tuple[str, list[MessageEntity]]:
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"""Replace markers with placeholders and build custom emoji entities."""
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if not text:
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return text, []
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entities: list[MessageEntity] = []
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result = text
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protected_ranges = _get_protected_ranges(text)
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matches = [m for m in _MARKER_RE.finditer(text) if not _is_in_ranges(m.start(), protected_ranges)]
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for match in reversed(matches):
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emoji_id = match.group(1) or match.group(2)
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marker = match.group(0)
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marker_pos = match.start()
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placeholder = await _fetch_placeholder(emoji_id)
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result = result[:marker_pos] + placeholder + result[marker_pos + len(marker) :]
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offset = _utf16_len(result[:marker_pos])
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length = _utf16_len(placeholder)
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entities.insert(
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0,
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MessageEntity(
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type=MessageEntityType.CUSTOM_EMOJI,
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offset=offset,
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length=length,
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custom_emoji_id=str(emoji_id),
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),
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)
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return result, entities
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def _parse_html_entities(text: str) -> list[MessageEntity]:
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"""Parse simple HTML tags to entities (bold/italic/etc, links)."""
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entities: list[MessageEntity] = []
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link_open = re.compile(r'<a href="([^"]+)"\s*>|<a href=\'([^\']+)\'\s*>')
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link_close = re.compile(r"</a>")
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link_stack: list[dict[str, Any]] = []
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for match in link_open.finditer(text):
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url = match.group(1) or match.group(2)
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link_stack.append({"open_end": match.end(), "url": url})
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for close in link_close.finditer(text):
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if not link_stack:
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continue
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open_tag = link_stack.pop()
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open_pos = open_tag["open_end"]
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close_pos = close.start()
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content = text[open_pos:close_pos]
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entities.append(
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MessageEntity(
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type=MessageEntityType.TEXT_LINK,
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offset=_utf16_len(text[:open_pos]),
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length=_utf16_len(content),
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url=open_tag["url"],
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)
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)
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tag_map: list[tuple[str, str, MessageEntityType]] = [
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(r"<b\s*>", r"</b>", MessageEntityType.BOLD),
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(r"<strong\s*>", r"</strong>", MessageEntityType.BOLD),
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(r"<i\s*>", r"</i>", MessageEntityType.ITALIC),
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(r"<em\s*>", r"</em>", MessageEntityType.ITALIC),
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(r"<u\s*>", r"</u>", MessageEntityType.UNDERLINE),
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(r"<ins\s*>", r"</ins>", MessageEntityType.UNDERLINE),
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(r"<s\s*>", r"</s>", MessageEntityType.STRIKETHROUGH),
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(r"<strike\s*>", r"</strike>", MessageEntityType.STRIKETHROUGH),
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(r"<del\s*>", r"</del>", MessageEntityType.STRIKETHROUGH),
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(r"<code\s*>", r"</code>", MessageEntityType.CODE),
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(r"<pre\s*>", r"</pre>", MessageEntityType.PRE),
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(r"<blockquote\s*>", r"</blockquote>", MessageEntityType.BLOCKQUOTE),
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]
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for open_pat, close_pat, entity_type in tag_map:
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for open in re.finditer(open_pat, text):
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close = re.search(close_pat, text[open.end() :])
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if not close:
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continue
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close_pos = open.end() + close.start()
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content = text[open.end() : close_pos]
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entities.append(
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MessageEntity(
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type=entity_type,
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offset=_utf16_len(text[: open.end()]),
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length=_utf16_len(content),
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)
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)
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return entities
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async def _process_text(
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text: str, entities: list[MessageEntity] | None = None
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) -> tuple[str, list[MessageEntity] | None]:
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"""Apply custom emoji markers and merge entities."""
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processed, custom_entities = await _replace_markers(text)
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if not custom_entities:
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return text, entities
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html_entities: list[MessageEntity] = []
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if "<" in processed and ">" in processed:
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html_entities = _parse_html_entities(processed)
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if not html_entities and not custom_entities and not entities:
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return text, None
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if html_entities:
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plain = []
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html_pos = 0
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utf16_map: dict[int, int] = {}
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plain_utf16 = 0
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html_utf16 = 0
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while html_pos < len(processed):
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ch = processed[html_pos]
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if ch == "<":
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while html_pos < len(processed) and processed[html_pos] != ">":
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ch = processed[html_pos]
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ch_len = _utf16_len(ch)
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for i in range(ch_len):
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utf16_map[html_utf16 + i] = plain_utf16
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html_utf16 += ch_len
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html_pos += 1
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if html_pos < len(processed):
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ch = processed[html_pos]
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ch_len = _utf16_len(ch)
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for i in range(ch_len):
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utf16_map[html_utf16 + i] = plain_utf16
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html_utf16 += ch_len
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html_pos += 1
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continue
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plain.append(ch)
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ch_len = _utf16_len(ch)
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for i in range(ch_len):
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utf16_map[html_utf16 + i] = plain_utf16 + i
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plain_utf16 += ch_len
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html_utf16 += ch_len
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html_pos += 1
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def remap(offset: int) -> int:
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if offset in utf16_map:
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return utf16_map[offset]
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keys = sorted(utf16_map.keys())
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best = None
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for key in keys:
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if key <= offset:
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best = key
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else:
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break
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return utf16_map[best] if best is not None else offset
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remapped_html: list[MessageEntity] = []
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for ent in html_entities:
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new_offset = remap(ent.offset)
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end_offset = remap(ent.offset + ent.length)
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data = ent.model_dump()
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data["offset"] = new_offset
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data["length"] = end_offset - new_offset
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remapped_html.append(MessageEntity(**data))
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remapped_custom: list[MessageEntity] = []
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for ent in custom_entities:
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data = ent.model_dump()
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data["offset"] = remap(ent.offset)
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remapped_custom.append(MessageEntity(**data))
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merged: list[MessageEntity] = []
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merged.extend(remapped_html)
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merged.extend(remapped_custom)
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if entities:
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merged.extend(entities)
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merged.sort(key=lambda e: e.offset)
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return "".join(plain), merged
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merged: list[MessageEntity] = []
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merged.extend(custom_entities)
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if entities:
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merged.extend(entities)
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merged.sort(key=lambda e: e.offset)
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return processed, merged
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def _set_parse_mode_none(kwargs: dict[str, Any]) -> None:
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if kwargs.get("parse_mode") is not None:
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kwargs["parse_mode"] = None
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def patch_bot_methods() -> bool:
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"""Patch Message methods to auto-handle custom emojis."""
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global _BOT
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try:
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from aiogram.types import Message
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from bot import bot
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_BOT = bot
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if not hasattr(Message, "_custom_emojis_patched"):
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Message._custom_emojis_patched = True
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Message._original_answer = Message.answer
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Message._original_edit_text = Message.edit_text
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Message._original_edit_caption = Message.edit_caption
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Message._original_answer_photo = Message.answer_photo
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Message._original_answer_video = Message.answer_video
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Message._original_answer_animation = Message.answer_animation
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Message._original_edit_media = Message.edit_media
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async def patched_answer(self, text: str, entities: list[MessageEntity] | None = None, **kwargs):
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processed, merged = await _process_text(text, entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_answer(text=processed, entities=merged, **kwargs)
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async def patched_edit_text(
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self, text: str, entities: list[MessageEntity] | None = None, **kwargs
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):
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processed, merged = await _process_text(text, entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_edit_text(text=processed, entities=merged, **kwargs)
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async def patched_edit_caption(
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self,
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caption: str | None = None,
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caption_entities: list[MessageEntity] | None = None,
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**kwargs,
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):
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if not caption:
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return await self._original_edit_caption(
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caption=caption, caption_entities=caption_entities, **kwargs
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)
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processed, merged = await _process_text(caption, caption_entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_edit_caption(
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caption=processed, caption_entities=merged, **kwargs
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)
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async def patched_answer_photo(
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self,
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photo: Any,
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caption: str | None = None,
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caption_entities: list[MessageEntity] | None = None,
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**kwargs,
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):
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if not caption:
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return await self._original_answer_photo(
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photo=photo, caption=caption, caption_entities=caption_entities, **kwargs
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)
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processed, merged = await _process_text(caption, caption_entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_answer_photo(
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photo=photo, caption=processed, caption_entities=merged, **kwargs
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)
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async def patched_answer_video(
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self,
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video: Any,
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caption: str | None = None,
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caption_entities: list[MessageEntity] | None = None,
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**kwargs,
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):
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if not caption:
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return await self._original_answer_video(
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video=video, caption=caption, caption_entities=caption_entities, **kwargs
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)
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processed, merged = await _process_text(caption, caption_entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_answer_video(
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video=video, caption=processed, caption_entities=merged, **kwargs
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)
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async def patched_answer_animation(
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self,
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animation: Any,
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caption: str | None = None,
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caption_entities: list[MessageEntity] | None = None,
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**kwargs,
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):
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if not caption:
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return await self._original_answer_animation(
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animation=animation,
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caption=caption,
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caption_entities=caption_entities,
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**kwargs,
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)
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processed, merged = await _process_text(caption, caption_entities)
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if merged:
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_set_parse_mode_none(kwargs)
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return await self._original_answer_animation(
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animation=animation,
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caption=processed,
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caption_entities=merged,
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**kwargs,
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)
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async def patched_edit_media(self, media: Any, **kwargs):
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if hasattr(media, "caption") and media.caption:
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processed, merged = await _process_text(
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media.caption, getattr(media, "caption_entities", None)
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)
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media.caption = processed
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if merged:
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if hasattr(media, "parse_mode"):
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media.parse_mode = None
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kwargs["parse_mode"] = None
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media.caption_entities = merged
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return await self._original_edit_media(media=media, **kwargs)
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Message.answer = patched_answer
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Message.edit_text = patched_edit_text
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Message.edit_caption = patched_edit_caption
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Message.answer_photo = patched_answer_photo
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Message.answer_video = patched_answer_video
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Message.answer_animation = patched_answer_animation
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Message.edit_media = patched_edit_media
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return True
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except Exception as e:
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logger.error(f"[CustomEmojis] Patch failed: {e}", exc_info=True)
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return False
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def initialize_custom_emojis() -> bool:
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"""Initialize custom emoji support."""
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try:
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return patch_bot_methods()
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except Exception as e:
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logger.error(f"[CustomEmojis] Init failed: {e}", exc_info=True)
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return False
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"""
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Support custom Telegram emojis in bot texts.
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Allows writing custom emoji IDs in texts via a special syntax.
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"""
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import re
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from typing import Any
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from aiogram import Bot
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from aiogram.enums import MessageEntityType
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from aiogram.types import MessageEntity
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from logger import logger
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_emoji_placeholder_cache: dict[str, str] = {}
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_bot_instance: Bot | None = None
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async def _get_emoji_placeholder(emoji_id: str) -> str:
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"""Fetch placeholder emoji for custom_emoji_id via API, with cache."""
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if emoji_id in _emoji_placeholder_cache:
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return _emoji_placeholder_cache[emoji_id]
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if _bot_instance is None:
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return "😀"
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try:
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stickers = await _bot_instance.get_custom_emoji_stickers(custom_emoji_ids=[emoji_id])
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if stickers:
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sticker = stickers[0]
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placeholder = None
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if hasattr(sticker, "emoji") and sticker.emoji:
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placeholder = sticker.emoji
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elif hasattr(sticker, "alt") and sticker.alt:
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placeholder = sticker.alt
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if placeholder:
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_emoji_placeholder_cache[emoji_id] = placeholder
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return placeholder
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except Exception:
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pass
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return "😀"
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def _get_utf16_length(text: str) -> int:
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"""Calculate length in UTF-16 code units."""
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return len(text.encode("utf-16-le")) // 2
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async def parse_custom_emoji_markers(text: str) -> tuple[str, list[MessageEntity]]:
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"""Parse text with custom emoji markers to placeholders and entities."""
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if not text:
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return text, []
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entities: list[MessageEntity] = []
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result_text = text
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pattern = r"\{emoji:(\d+)\}|\[emoji:(\d+)\]"
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matches = list(re.finditer(pattern, text))
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for match in reversed(matches):
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emoji_id = match.group(1) or match.group(2)
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marker_text = match.group(0)
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marker_pos_in_result = match.start()
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emoji_placeholder = await _get_emoji_placeholder(emoji_id)
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result_text = (
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result_text[:marker_pos_in_result]
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+ emoji_placeholder
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+ result_text[marker_pos_in_result + len(marker_text) :]
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)
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text_before = result_text[:marker_pos_in_result]
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offset_utf16 = _get_utf16_length(text_before)
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placeholder_utf16_length = _get_utf16_length(emoji_placeholder)
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entity = MessageEntity(
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type=MessageEntityType.CUSTOM_EMOJI,
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offset=offset_utf16,
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length=placeholder_utf16_length,
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custom_emoji_id=str(emoji_id),
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)
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entities.insert(0, entity)
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return result_text, entities
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def _parse_html_entities(text: str) -> list[MessageEntity]:
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"""Parse HTML markup and build entities manually."""
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entities: list[MessageEntity] = []
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link_patterns = [
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(r'<a href="([^"]+)"\s*>', r"</a>"),
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(r"<a href='([^']+)'\s*>", r"</a>"),
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]
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link_tags = []
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for open_pattern, close_pattern in link_patterns:
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for open_match in re.finditer(open_pattern, text):
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url = open_match.group(1)
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link_tags.append(
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{
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"type": "open",
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"url": url,
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"open_start": open_match.start(),
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"open_end": open_match.end(),
|
|
"close_pattern": close_pattern,
|
|
}
|
|
)
|
|
|
|
for close_match in re.finditer(r"</a>", text):
|
|
link_tags.append({"type": "close", "pos": close_match.start()})
|
|
|
|
link_tags.sort(key=lambda x: x.get("open_start", x.get("pos", 0)))
|
|
|
|
link_stacks = []
|
|
tag_positions = []
|
|
|
|
for tag in link_tags:
|
|
if tag["type"] == "open":
|
|
link_stacks.append(tag)
|
|
else:
|
|
if link_stacks:
|
|
matching_open = link_stacks.pop()
|
|
open_pos = matching_open["open_end"]
|
|
close_pos = tag["pos"]
|
|
content = text[open_pos:close_pos]
|
|
|
|
tag_positions.append(
|
|
{
|
|
"open_pos": open_pos,
|
|
"close_pos": close_pos,
|
|
"content": content,
|
|
"entity_type": "text_link",
|
|
"url": matching_open["url"],
|
|
}
|
|
)
|
|
|
|
other_patterns = [
|
|
(r"<b\s*>", r"</b>", "bold"),
|
|
(r"<strong\s*>", r"</strong>", "bold"),
|
|
(r"<i\s*>", r"</i>", "italic"),
|
|
(r"<em\s*>", r"</em>", "italic"),
|
|
(r"<u\s*>", r"</u>", "underline"),
|
|
(r"<ins\s*>", r"</ins>", "underline"),
|
|
(r"<s\s*>", r"</s>", "strikethrough"),
|
|
(r"<strike\s*>", r"</strike>", "strikethrough"),
|
|
(r"<del\s*>", r"</del>", "strikethrough"),
|
|
(r"<code\s*>", r"</code>", "code"),
|
|
(r"<pre\s*>", r"</pre>", "pre"),
|
|
(r"<blockquote\s*>", r"</blockquote>", "blockquote"),
|
|
]
|
|
|
|
other_tags = []
|
|
for open_pattern, close_pattern, entity_type in other_patterns:
|
|
for open_match in re.finditer(open_pattern, text):
|
|
other_tags.append(
|
|
{
|
|
"type": "open",
|
|
"entity_type": entity_type,
|
|
"open_end": open_match.end(),
|
|
"close_pattern": close_pattern,
|
|
}
|
|
)
|
|
|
|
for close_match in re.finditer(close_pattern, text):
|
|
other_tags.append(
|
|
{"type": "close", "entity_type": entity_type, "pos": close_match.start()}
|
|
)
|
|
|
|
other_tags.sort(key=lambda x: x.get("open_end", x.get("pos", 0)))
|
|
|
|
other_stacks: dict[str, list[dict[str, Any]]] = {}
|
|
|
|
for tag in other_tags:
|
|
entity_type = tag["entity_type"]
|
|
|
|
if tag["type"] == "open":
|
|
if entity_type not in other_stacks:
|
|
other_stacks[entity_type] = []
|
|
other_stacks[entity_type].append(tag)
|
|
else:
|
|
if entity_type in other_stacks and other_stacks[entity_type]:
|
|
matching_open = other_stacks[entity_type].pop()
|
|
open_pos = matching_open["open_end"]
|
|
close_pos = tag["pos"]
|
|
content = text[open_pos:close_pos]
|
|
|
|
tag_positions.append(
|
|
{
|
|
"open_pos": open_pos,
|
|
"close_pos": close_pos,
|
|
"content": content,
|
|
"entity_type": entity_type,
|
|
"url": None,
|
|
}
|
|
)
|
|
|
|
tag_positions.sort(key=lambda x: x["open_pos"])
|
|
|
|
for tag_info in tag_positions:
|
|
content = tag_info["content"]
|
|
open_pos = tag_info["open_pos"]
|
|
entity_type = tag_info["entity_type"]
|
|
url = tag_info["url"]
|
|
|
|
text_before_content = text[:open_pos]
|
|
offset_utf16 = _get_utf16_length(text_before_content)
|
|
|
|
length_utf16 = _get_utf16_length(content)
|
|
|
|
entity_dict = {
|
|
"type": MessageEntityType(entity_type),
|
|
"offset": offset_utf16,
|
|
"length": length_utf16,
|
|
}
|
|
if url:
|
|
entity_dict["url"] = url
|
|
|
|
entity = MessageEntity(**entity_dict)
|
|
entities.append(entity)
|
|
|
|
return entities
|
|
|
|
|
|
async def process_text_with_custom_emojis(text: str) -> tuple[str, list[MessageEntity] | None]:
|
|
"""Process text with custom emoji markers."""
|
|
if not text or not isinstance(text, str):
|
|
return text, None
|
|
|
|
processed_text, entities = await parse_custom_emoji_markers(text)
|
|
return (processed_text, entities) if entities else (text, None)
|
|
|
|
|
|
def patch_bot_methods() -> bool:
|
|
"""Patch Message methods to handle custom emojis."""
|
|
global _bot_instance
|
|
try:
|
|
from aiogram.types import Message
|
|
from bot import bot
|
|
|
|
_bot_instance = bot
|
|
|
|
if not hasattr(Message, "_original_answer"):
|
|
Message._original_answer = Message.answer
|
|
Message._original_edit_text = Message.edit_text
|
|
Message._original_edit_caption = Message.edit_caption
|
|
Message._original_answer_photo = Message.answer_photo
|
|
Message._original_answer_video = Message.answer_video
|
|
Message._original_answer_animation = Message.answer_animation
|
|
Message._original_edit_media = Message.edit_media
|
|
|
|
async def process_text_and_entities(
|
|
text: str,
|
|
entities: list[MessageEntity] | None = None,
|
|
parse_mode: str | None = None,
|
|
):
|
|
"""Process text and entities for custom emojis."""
|
|
if not text:
|
|
return text, entities
|
|
|
|
processed_text_with_html, custom_entities = await process_text_with_custom_emojis(text)
|
|
|
|
html_entities_with_html = []
|
|
if custom_entities and "<" in processed_text_with_html and ">" in processed_text_with_html:
|
|
html_entities_with_html = _parse_html_entities(processed_text_with_html)
|
|
|
|
if html_entities_with_html or custom_entities:
|
|
text_without_html = ""
|
|
utf16_offset_map: dict[int, int] = {}
|
|
html_pos = 0
|
|
plain_utf16 = 0
|
|
html_utf16 = 0
|
|
|
|
while html_pos < len(processed_text_with_html):
|
|
if processed_text_with_html[html_pos] == "<":
|
|
while (
|
|
html_pos < len(processed_text_with_html)
|
|
and processed_text_with_html[html_pos] != ">"
|
|
):
|
|
char = processed_text_with_html[html_pos]
|
|
char_utf16_len = _get_utf16_length(char)
|
|
for i in range(char_utf16_len):
|
|
utf16_offset_map[html_utf16 + i] = plain_utf16
|
|
html_utf16 += char_utf16_len
|
|
html_pos += 1
|
|
if html_pos < len(processed_text_with_html):
|
|
char = processed_text_with_html[html_pos]
|
|
char_utf16_len = _get_utf16_length(char)
|
|
for i in range(char_utf16_len):
|
|
utf16_offset_map[html_utf16 + i] = plain_utf16
|
|
html_utf16 += char_utf16_len
|
|
html_pos += 1
|
|
else:
|
|
char = processed_text_with_html[html_pos]
|
|
text_without_html += char
|
|
char_utf16_len = _get_utf16_length(char)
|
|
for i in range(char_utf16_len):
|
|
utf16_offset_map[html_utf16 + i] = plain_utf16 + i
|
|
plain_utf16 += char_utf16_len
|
|
html_utf16 += char_utf16_len
|
|
html_pos += 1
|
|
|
|
def recalculate_offset(entity_offset_utf16: int) -> int:
|
|
"""Recalculate UTF-16 offset from HTML to plain text."""
|
|
if entity_offset_utf16 in utf16_offset_map:
|
|
return utf16_offset_map[entity_offset_utf16]
|
|
|
|
sorted_keys = sorted(utf16_offset_map.keys())
|
|
best_match = None
|
|
for key in sorted_keys:
|
|
if key <= entity_offset_utf16:
|
|
best_match = key
|
|
else:
|
|
break
|
|
|
|
return (
|
|
utf16_offset_map[best_match]
|
|
if best_match is not None
|
|
else entity_offset_utf16
|
|
)
|
|
|
|
html_entities = []
|
|
for entity in html_entities_with_html:
|
|
new_offset = recalculate_offset(entity.offset)
|
|
entity_end_offset = entity.offset + entity.length
|
|
new_end_offset = recalculate_offset(entity_end_offset)
|
|
new_length = new_end_offset - new_offset
|
|
entity_dict = entity.model_dump()
|
|
entity_dict["offset"] = new_offset
|
|
entity_dict["length"] = new_length
|
|
html_entities.append(MessageEntity(**entity_dict))
|
|
|
|
corrected_custom_entities = []
|
|
for entity in custom_entities:
|
|
new_offset = recalculate_offset(entity.offset)
|
|
entity_dict = entity.model_dump()
|
|
entity_dict["offset"] = new_offset
|
|
corrected_custom_entities.append(MessageEntity(**entity_dict))
|
|
|
|
final_entities: list[MessageEntity] = []
|
|
if html_entities:
|
|
final_entities.extend(html_entities)
|
|
if corrected_custom_entities:
|
|
final_entities.extend(corrected_custom_entities)
|
|
if entities:
|
|
final_entities.extend(entities)
|
|
|
|
if final_entities:
|
|
final_entities = sorted(final_entities, key=lambda e: e.offset)
|
|
|
|
return text_without_html, final_entities if final_entities else None
|
|
|
|
return text, entities
|
|
|
|
async def patched_message_answer(
|
|
self, text: str, entities: list[MessageEntity] | None = None, **kwargs
|
|
):
|
|
"""Patched Message.answer."""
|
|
processed_text, final_entities = await process_text_and_entities(
|
|
text, entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_answer(
|
|
text=processed_text, entities=final_entities if final_entities else None, **kwargs
|
|
)
|
|
|
|
async def patched_message_edit_text(
|
|
self, text: str, entities: list[MessageEntity] | None = None, **kwargs
|
|
):
|
|
"""Patched Message.edit_text."""
|
|
processed_text, final_entities = await process_text_and_entities(
|
|
text, entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_edit_text(
|
|
text=processed_text, entities=final_entities, **kwargs
|
|
)
|
|
|
|
async def patched_message_edit_caption(
|
|
self,
|
|
caption: str | None = None,
|
|
caption_entities: list[MessageEntity] | None = None,
|
|
**kwargs,
|
|
):
|
|
"""Patched Message.edit_caption."""
|
|
if not caption:
|
|
return await self._original_edit_caption(
|
|
caption=caption, caption_entities=caption_entities, **kwargs
|
|
)
|
|
processed_caption, final_entities = await process_text_and_entities(
|
|
caption, caption_entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_edit_caption(
|
|
caption=processed_caption, caption_entities=final_entities, **kwargs
|
|
)
|
|
|
|
async def patched_message_answer_photo(
|
|
self,
|
|
photo: Any,
|
|
caption: str | None = None,
|
|
caption_entities: list[MessageEntity] | None = None,
|
|
**kwargs,
|
|
):
|
|
"""Patched Message.answer_photo."""
|
|
if not caption:
|
|
return await self._original_answer_photo(
|
|
photo=photo, caption=caption, caption_entities=caption_entities, **kwargs
|
|
)
|
|
processed_caption, final_entities = await process_text_and_entities(
|
|
caption, caption_entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_answer_photo(
|
|
photo=photo, caption=processed_caption, caption_entities=final_entities, **kwargs
|
|
)
|
|
|
|
async def patched_message_answer_video(
|
|
self,
|
|
video: Any,
|
|
caption: str | None = None,
|
|
caption_entities: list[MessageEntity] | None = None,
|
|
**kwargs,
|
|
):
|
|
"""Patched Message.answer_video."""
|
|
if not caption:
|
|
return await self._original_answer_video(
|
|
video=video, caption=caption, caption_entities=caption_entities, **kwargs
|
|
)
|
|
processed_caption, final_entities = await process_text_and_entities(
|
|
caption, caption_entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_answer_video(
|
|
video=video, caption=processed_caption, caption_entities=final_entities, **kwargs
|
|
)
|
|
|
|
async def patched_message_answer_animation(
|
|
self,
|
|
animation: Any,
|
|
caption: str | None = None,
|
|
caption_entities: list[MessageEntity] | None = None,
|
|
**kwargs,
|
|
):
|
|
"""Patched Message.answer_animation."""
|
|
if not caption:
|
|
return await self._original_answer_animation(
|
|
animation=animation,
|
|
caption=caption,
|
|
caption_entities=caption_entities,
|
|
**kwargs,
|
|
)
|
|
processed_caption, final_entities = await process_text_and_entities(
|
|
caption, caption_entities, kwargs.get("parse_mode")
|
|
)
|
|
if final_entities:
|
|
kwargs["parse_mode"] = None
|
|
return await self._original_answer_animation(
|
|
animation=animation,
|
|
caption=processed_caption,
|
|
caption_entities=final_entities,
|
|
**kwargs,
|
|
)
|
|
|
|
async def patched_message_edit_media(self, media: Any, **kwargs):
|
|
"""Patched Message.edit_media."""
|
|
if hasattr(media, "caption") and media.caption:
|
|
processed_caption, final_entities = await process_text_and_entities(
|
|
media.caption, getattr(media, "caption_entities", None), kwargs.get("parse_mode")
|
|
)
|
|
media.caption = processed_caption
|
|
if final_entities:
|
|
if hasattr(media, "parse_mode"):
|
|
media.parse_mode = None
|
|
kwargs["parse_mode"] = None
|
|
media.caption_entities = final_entities
|
|
return await self._original_edit_media(media=media, **kwargs)
|
|
|
|
Message.answer = patched_message_answer
|
|
Message.edit_text = patched_message_edit_text
|
|
Message.edit_caption = patched_message_edit_caption
|
|
Message.answer_photo = patched_message_answer_photo
|
|
Message.answer_video = patched_message_answer_video
|
|
Message.answer_animation = patched_message_answer_animation
|
|
Message.edit_media = patched_message_edit_media
|
|
|
|
return True
|
|
|
|
except Exception as e:
|
|
logger.error(f"[CustomEmojis] Error while patching bot methods: {e}", exc_info=True)
|
|
return False
|
|
|
|
|
|
def initialize_custom_emojis() -> bool:
|
|
"""Initialize custom emoji support."""
|
|
try:
|
|
return patch_bot_methods()
|
|
except Exception as e:
|
|
logger.error(f"[CustomEmojis] Error during initialization: {e}", exc_info=True)
|
|
return False
|