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https://github.com/MuRuLOSE/limoka.git
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Added and updated repositories 2025-07-11 08:27:20
This commit is contained in:
github-actions[bot]
@@ -1,218 +1,218 @@
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# ╔╗╔┌─┐┬─┐┌─┐┬ ┬
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# ║║║├┤ ├┬┘│ └┬┘
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# ╝╚╝└─┘┴└─└─┘ ┴
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# Code is licensed under CC-BY-NC-ND 4.0 unless otherwise specified.
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# https://creativecommons.org/licenses/by-nc-nd/4.0/
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# You CANNOT edit this file without direct permission from the author.
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# You can redistribute this file without any changes.
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# meta developer: @nercymods
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# scope: hikka_min 1.6.2
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# requires: matplotlib
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from hikkatl.types import Message, PeerUser, PeerChat, PeerChannel
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from .. import loader, utils
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from collections import defaultdict
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import matplotlib.pyplot as plt
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import io
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import asyncio
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import warnings
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import numpy as np
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from matplotlib.colors import LinearSegmentedColormap
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from telethon.tl.functions.messages import SearchRequest, GetHistoryRequest
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from telethon.tl.types import InputMessagesFilterEmpty
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plt.style.use('dark_background')
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@loader.tds
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class Top(loader.Module):
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"""Module for viewing the top list in chat"""
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strings = {
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"name": "Top",
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"top": "Top users by message count",
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"topchat": "<emoji document_id=5323538339062628165>💬</emoji><b>Top users in</b>",
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"msgcount": "Message count",
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"loading": "<emoji document_id=5780543148782522693>🕒</emoji><b>Message counting has started, please wait, it may take a long time if there are a lot of messages in the chat</b>",
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"private_chat": "<emoji document_id=5323538339062628165>💬</emoji><b>Message count in private chat with</b>"
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}
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strings_ru = {
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"top": "Топ пользователей по количеству сообщений",
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"topchat": "<emoji document_id=5323538339062628165>💬</emoji><b>Топ пользователей в</b>",
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"msgcount": "Количество сообщений",
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"loading": "<emoji document_id=5780543148782522693>🕒</emoji><b>Подсчет сообщений начался, пожалуйста подождите, это может занять много времени если в чате много сообщений</b>",
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"private_chat": "<emoji document_id=5323538339062628165>💬</emoji><b>Количество сообщений в личном чате с</b>"
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}
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@loader.command(ru_doc="Посмотреть топ в чате")
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async def top(self, m: Message):
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"""View top in the chat"""
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await utils.answer(m, self.strings['loading'])
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client = self.client
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if isinstance(m.peer_id, PeerUser):
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chat_type = 'private'
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chat_id = m.peer_id.user_id
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elif isinstance(m.peer_id, PeerChat) or isinstance(m.peer_id, PeerChannel):
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chat_type = 'chat'
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chat_id = m.chat.id
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else:
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await utils.answer(m, "Unsupported chat type.")
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return
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if chat_type == 'chat':
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users = await client.get_participants(chat_id)
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users_dict = {user.id: (user.username or user.first_name) for user in users}
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message_count = defaultdict(int)
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for user_id in users_dict:
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result = await client(SearchRequest(
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peer=chat_id,
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q='',
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filter=InputMessagesFilterEmpty(),
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from_id=user_id,
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limit=0,
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min_date=None,
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max_date=None,
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offset_id=0,
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add_offset=0,
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max_id=0,
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min_id=0,
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hash=0
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))
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message_count[user_id] = result.count
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sorted_message_count = sorted(message_count.items(), key=lambda item: item[1], reverse=True)
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top_users = sorted_message_count[:20]
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usernames = [users_dict[user_id] or "Unknown" for user_id, _ in top_users]
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counts = [count for _, count in top_users]
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fig, ax = plt.subplots(figsize=(10, 5))
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colors = self._generate_gradient('#8A2BE2', '#4B0082', len(usernames))
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bars = ax.barh(usernames, counts, color=colors, edgecolor='black', linewidth=0.5)
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for bar in bars:
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bar.set_alpha(0.8)
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bar.set_hatch('///')
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ax.set_xlabel(self.strings['msgcount'], fontsize=12, color='white')
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ax.set_title(self.strings['top'], fontsize=14, color='white', pad=20)
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ax.invert_yaxis()
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['left'].set_color('#8A2BE2')
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ax.spines['bottom'].set_color('#8A2BE2')
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ax.grid(True, linestyle='--', alpha=0.6, color='gray')
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for i, (bar, username) in enumerate(zip(bars, usernames)):
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if i < 3:
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bar.set_color('#FFD700')
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ax.text(bar.get_width() + 5, bar.get_y() + bar.get_height() / 2,
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f'#{i+1}', va='center', ha='left', color='#FFD700', fontsize=12)
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buf = io.BytesIO()
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore")
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plt.savefig(buf, format='png', bbox_inches='tight', dpi=100)
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buf.seek(0)
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caption = f"{self.strings['topchat']} <b>{m.chat.title}:</b>\n"
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caption += "\n".join([f"{i+1}. {user} - {count}" for i, (user, count) in enumerate(zip(usernames, counts))])
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await utils.answer_file(m, buf, caption, force_document=False)
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else:
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me = await client.get_me()
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target = await client.get_entity(chat_id)
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my_count, their_count = await asyncio.gather(
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self._get_message_count_fast(client, chat_id, me.id),
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self._get_message_count_fast(client, chat_id, target.id)
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)
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message_counts = [(me.first_name, my_count), (target.first_name, their_count)]
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sorted_message_counts = sorted(message_counts, key=lambda item: item[1], reverse=True)
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usernames = [user for user, _ in sorted_message_counts]
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counts = [count for _, count in sorted_message_counts]
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fig, ax = plt.subplots(figsize=(10, 5))
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colors = self._generate_gradient('#8A2BE2', '#4B0082', len(usernames))
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bars = ax.barh(usernames, counts, color=colors, edgecolor='black', linewidth=0.5)
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for bar in bars:
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bar.set_alpha(0.8)
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bar.set_hatch('///')
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ax.set_xlabel(self.strings['msgcount'], fontsize=12, color='white')
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ax.set_title(self.strings['top'], fontsize=14, color='white', pad=20)
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ax.invert_yaxis()
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['left'].set_color('#8A2BE2')
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ax.spines['bottom'].set_color('#8A2BE2')
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ax.grid(True, linestyle='--', alpha=0.6, color='gray')
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for i, (bar, username) in enumerate(zip(bars, usernames)):
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if i < 3:
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bar.set_color('#FFD700')
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ax.text(bar.get_width() + 5, bar.get_y() + bar.get_height() / 2,
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f'#{i+1}', va='center', ha='left', color='#FFD700', fontsize=12)
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buf = io.BytesIO()
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore")
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plt.savefig(buf, format='png', bbox_inches='tight', dpi=100)
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buf.seek(0)
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caption = f"{self.strings['private_chat']} <b>{target.first_name}:</b>\n"
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caption += "\n".join([f'"{user}" - {count}' for user, count in zip(usernames, counts)])
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await utils.answer_file(m, buf, caption, force_document=False)
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async def _get_message_count_fast(self, client, chat_id, user_id):
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"""Получает количество сообщений от конкретного пользователя с использованием GetHistoryRequest"""
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total_count = 0
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offset_id = 0
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limit = 100
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while True:
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history = await client(GetHistoryRequest(
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peer=chat_id,
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offset_id=offset_id,
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offset_date=None,
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add_offset=0,
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limit=limit,
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max_id=0,
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min_id=0,
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hash=0
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))
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if not history.messages:
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break
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for message in history.messages:
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if message.sender_id == user_id:
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total_count += 1
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offset_id = history.messages[-1].id
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if len(history.messages) < limit:
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break
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return total_count
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def _generate_gradient(self, start_color, end_color, n):
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"""Генерация градиента между двумя цветами"""
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cmap = LinearSegmentedColormap.from_list('custom_gradient', [start_color, end_color], N=n)
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# ╔╗╔┌─┐┬─┐┌─┐┬ ┬
|
||||
# ║║║├┤ ├┬┘│ └┬┘
|
||||
# ╝╚╝└─┘┴└─└─┘ ┴
|
||||
|
||||
# Code is licensed under CC-BY-NC-ND 4.0 unless otherwise specified.
|
||||
# https://creativecommons.org/licenses/by-nc-nd/4.0/
|
||||
# You CANNOT edit this file without direct permission from the author.
|
||||
# You can redistribute this file without any changes.
|
||||
|
||||
# meta developer: @nercymods
|
||||
# scope: hikka_min 1.6.2
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# requires: matplotlib
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from hikkatl.types import Message, PeerUser, PeerChat, PeerChannel
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from .. import loader, utils
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from collections import defaultdict
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import matplotlib.pyplot as plt
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import io
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import asyncio
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import warnings
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import numpy as np
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from matplotlib.colors import LinearSegmentedColormap
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from telethon.tl.functions.messages import SearchRequest, GetHistoryRequest
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from telethon.tl.types import InputMessagesFilterEmpty
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plt.style.use('dark_background')
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@loader.tds
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class Top(loader.Module):
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"""Module for viewing the top list in chat"""
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strings = {
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"name": "Top",
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"top": "Top users by message count",
|
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"topchat": "<emoji document_id=5323538339062628165>💬</emoji><b>Top users in</b>",
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"msgcount": "Message count",
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"loading": "<emoji document_id=5780543148782522693>🕒</emoji><b>Message counting has started, please wait, it may take a long time if there are a lot of messages in the chat</b>",
|
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"private_chat": "<emoji document_id=5323538339062628165>💬</emoji><b>Message count in private chat with</b>"
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}
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strings_ru = {
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"top": "Топ пользователей по количеству сообщений",
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"topchat": "<emoji document_id=5323538339062628165>💬</emoji><b>Топ пользователей в</b>",
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"msgcount": "Количество сообщений",
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"loading": "<emoji document_id=5780543148782522693>🕒</emoji><b>Подсчет сообщений начался, пожалуйста подождите, это может занять много времени если в чате много сообщений</b>",
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"private_chat": "<emoji document_id=5323538339062628165>💬</emoji><b>Количество сообщений в личном чате с</b>"
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}
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@loader.command(ru_doc="Посмотреть топ в чате")
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async def top(self, m: Message):
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"""View top in the chat"""
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await utils.answer(m, self.strings['loading'])
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client = self.client
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if isinstance(m.peer_id, PeerUser):
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chat_type = 'private'
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chat_id = m.peer_id.user_id
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elif isinstance(m.peer_id, PeerChat) or isinstance(m.peer_id, PeerChannel):
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chat_type = 'chat'
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chat_id = m.chat.id
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else:
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await utils.answer(m, "Unsupported chat type.")
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return
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if chat_type == 'chat':
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users = await client.get_participants(chat_id)
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users_dict = {user.id: (user.username or user.first_name) for user in users}
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message_count = defaultdict(int)
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for user_id in users_dict:
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result = await client(SearchRequest(
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peer=chat_id,
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q='',
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filter=InputMessagesFilterEmpty(),
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from_id=user_id,
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limit=0,
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min_date=None,
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max_date=None,
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offset_id=0,
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add_offset=0,
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max_id=0,
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min_id=0,
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hash=0
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))
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message_count[user_id] = result.count
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sorted_message_count = sorted(message_count.items(), key=lambda item: item[1], reverse=True)
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top_users = sorted_message_count[:20]
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usernames = [users_dict[user_id] or "Unknown" for user_id, _ in top_users]
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counts = [count for _, count in top_users]
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fig, ax = plt.subplots(figsize=(10, 5))
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colors = self._generate_gradient('#8A2BE2', '#4B0082', len(usernames))
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bars = ax.barh(usernames, counts, color=colors, edgecolor='black', linewidth=0.5)
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for bar in bars:
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bar.set_alpha(0.8)
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bar.set_hatch('///')
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ax.set_xlabel(self.strings['msgcount'], fontsize=12, color='white')
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ax.set_title(self.strings['top'], fontsize=14, color='white', pad=20)
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ax.invert_yaxis()
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|
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ax.spines['top'].set_visible(False)
|
||||
ax.spines['right'].set_visible(False)
|
||||
ax.spines['left'].set_color('#8A2BE2')
|
||||
ax.spines['bottom'].set_color('#8A2BE2')
|
||||
|
||||
ax.grid(True, linestyle='--', alpha=0.6, color='gray')
|
||||
|
||||
for i, (bar, username) in enumerate(zip(bars, usernames)):
|
||||
if i < 3:
|
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bar.set_color('#FFD700')
|
||||
ax.text(bar.get_width() + 5, bar.get_y() + bar.get_height() / 2,
|
||||
f'#{i+1}', va='center', ha='left', color='#FFD700', fontsize=12)
|
||||
|
||||
buf = io.BytesIO()
|
||||
with warnings.catch_warnings():
|
||||
warnings.filterwarnings("ignore")
|
||||
plt.savefig(buf, format='png', bbox_inches='tight', dpi=100)
|
||||
buf.seek(0)
|
||||
|
||||
caption = f"{self.strings['topchat']} <b>{m.chat.title}:</b>\n"
|
||||
caption += "\n".join([f"{i+1}. {user} - {count}" for i, (user, count) in enumerate(zip(usernames, counts))])
|
||||
|
||||
await utils.answer_file(m, buf, caption, force_document=False)
|
||||
|
||||
else:
|
||||
me = await client.get_me()
|
||||
target = await client.get_entity(chat_id)
|
||||
|
||||
my_count, their_count = await asyncio.gather(
|
||||
self._get_message_count_fast(client, chat_id, me.id),
|
||||
self._get_message_count_fast(client, chat_id, target.id)
|
||||
)
|
||||
|
||||
message_counts = [(me.first_name, my_count), (target.first_name, their_count)]
|
||||
sorted_message_counts = sorted(message_counts, key=lambda item: item[1], reverse=True)
|
||||
|
||||
usernames = [user for user, _ in sorted_message_counts]
|
||||
counts = [count for _, count in sorted_message_counts]
|
||||
|
||||
fig, ax = plt.subplots(figsize=(10, 5))
|
||||
|
||||
colors = self._generate_gradient('#8A2BE2', '#4B0082', len(usernames))
|
||||
bars = ax.barh(usernames, counts, color=colors, edgecolor='black', linewidth=0.5)
|
||||
|
||||
for bar in bars:
|
||||
bar.set_alpha(0.8)
|
||||
bar.set_hatch('///')
|
||||
|
||||
ax.set_xlabel(self.strings['msgcount'], fontsize=12, color='white')
|
||||
ax.set_title(self.strings['top'], fontsize=14, color='white', pad=20)
|
||||
ax.invert_yaxis()
|
||||
|
||||
ax.spines['top'].set_visible(False)
|
||||
ax.spines['right'].set_visible(False)
|
||||
ax.spines['left'].set_color('#8A2BE2')
|
||||
ax.spines['bottom'].set_color('#8A2BE2')
|
||||
|
||||
ax.grid(True, linestyle='--', alpha=0.6, color='gray')
|
||||
|
||||
for i, (bar, username) in enumerate(zip(bars, usernames)):
|
||||
if i < 3:
|
||||
bar.set_color('#FFD700')
|
||||
ax.text(bar.get_width() + 5, bar.get_y() + bar.get_height() / 2,
|
||||
f'#{i+1}', va='center', ha='left', color='#FFD700', fontsize=12)
|
||||
|
||||
buf = io.BytesIO()
|
||||
with warnings.catch_warnings():
|
||||
warnings.filterwarnings("ignore")
|
||||
plt.savefig(buf, format='png', bbox_inches='tight', dpi=100)
|
||||
buf.seek(0)
|
||||
|
||||
caption = f"{self.strings['private_chat']} <b>{target.first_name}:</b>\n"
|
||||
caption += "\n".join([f'"{user}" - {count}' for user, count in zip(usernames, counts)])
|
||||
|
||||
await utils.answer_file(m, buf, caption, force_document=False)
|
||||
|
||||
async def _get_message_count_fast(self, client, chat_id, user_id):
|
||||
"""Получает количество сообщений от конкретного пользователя с использованием GetHistoryRequest"""
|
||||
total_count = 0
|
||||
offset_id = 0
|
||||
limit = 100
|
||||
|
||||
while True:
|
||||
history = await client(GetHistoryRequest(
|
||||
peer=chat_id,
|
||||
offset_id=offset_id,
|
||||
offset_date=None,
|
||||
add_offset=0,
|
||||
limit=limit,
|
||||
max_id=0,
|
||||
min_id=0,
|
||||
hash=0
|
||||
))
|
||||
|
||||
if not history.messages:
|
||||
break
|
||||
|
||||
for message in history.messages:
|
||||
if message.sender_id == user_id:
|
||||
total_count += 1
|
||||
|
||||
offset_id = history.messages[-1].id
|
||||
|
||||
if len(history.messages) < limit:
|
||||
break
|
||||
|
||||
return total_count
|
||||
|
||||
def _generate_gradient(self, start_color, end_color, n):
|
||||
"""Генерация градиента между двумя цветами"""
|
||||
cmap = LinearSegmentedColormap.from_list('custom_gradient', [start_color, end_color], N=n)
|
||||
return [cmap(i) for i in np.linspace(0, 1, n)]
|
||||
Reference in New Issue
Block a user