48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
import html_parser
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from telegram import Update, InlineKeyboardButton, InlineKeyboardMarkup
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from telegram.constants import ParseMode
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from telegram.ext import ContextTypes
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async def start_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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await update.message.reply_text(
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f"hello, i'm {html_parser.bold(context.bot.first_name)}, an inline image grabber.\n\n"
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f"to get help, use /help",
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parse_mode=ParseMode.HTML
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)
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async def help_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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await update.message.reply_text(
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f"{html_parser.bold(f"how to use {context.bot.first_name}")}\n\n"
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f"1. open your message box and type:\n"
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f"{html_parser.code(f"@{context.bot.username} <post ID>")}\n"
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f"2. click on the box that has popped up\n"
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f"3. ???\n"
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f"4. done!",
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parse_mode=ParseMode.HTML
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)
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async def about_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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from main import config
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reply_markup = None
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source_url = config.get('General', 'SourceUrl')
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if source_url.startswith('http://') or source_url.startswith('https://'):
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keyboard = [
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[
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InlineKeyboardButton(f"source code", url=source_url)
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]
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]
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reply_markup = InlineKeyboardMarkup(keyboard)
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await update.message.reply_text(
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f"{html_parser.bold(f"about {context.bot.first_name}")}\n"
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f"{context.bot.first_name} is an inline image grabber written in python that grabs images from Danbooru "
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f"(or other similar services).\n\n"
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f"{html_parser.bold("currently configured instance:")}\n"
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f"{html_parser.italic(config.get('Service', 'Name'))} ({config.get('Service', 'Domain')})",
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parse_mode=ParseMode.HTML,
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reply_markup=reply_markup
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)
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