Remy Moll
29d951427d
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92 lines
3.2 KiB
Python
92 lines
3.2 KiB
Python
import os
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from telegram.ext import ConversationHandler, CommandHandler, MessageHandler, filters, CallbackQueryHandler, CallbackContext
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from telegram import InlineKeyboardButton, InlineKeyboardMarkup, Update, InputMediaPhoto
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import models
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from telegram.constants import ParseMode
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MEMORY_CHOICE = range(1)
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from .basehandler import BaseHandler
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class MemoryHandler(BaseHandler):
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def __init__(self, entry_string):
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self.entry_string = entry_string
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self.handler = ConversationHandler(
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entry_points=[CommandHandler(entry_string, self.entry_point, )],
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states={
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MEMORY_CHOICE: [
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CallbackQueryHandler(self.choose_memory),
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]
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},
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fallbacks=[],
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)
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self.current_model = None
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async def entry_point(self, update: Update, context: CallbackContext):
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await super().entry_point(update, context)
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if models.IS_PRODUCTION and os.getenv("CHAT_ID") != str(update.message.chat_id):
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await update.message.reply_text("You are not authorized to use this bot")
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return ConversationHandler.END
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search_string = " ".join(context.args)
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if search_string == '~photo':
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matching_models = models.JournalEntry.select().where(models.JournalEntry.media_path != "").order_by(models.JournalEntry.date)
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else: # searching for text
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matching_models = models.JournalEntry.select().where(
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models.JournalEntry.text.contains(
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search_string
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)
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).order_by(models.JournalEntry.date)
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# exit if no memory matches the string
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if len(matching_models) == 0:
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await update.message.reply_text(f"There is no matching memory yet.")
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return ConversationHandler.END
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options = [[InlineKeyboardButton(m.date_pretty, callback_data=i)] for i,m in enumerate(matching_models)]
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keyboard = InlineKeyboardMarkup(options)
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await update.message.reply_text(
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f"Which moment would you like to remember?", reply_markup=keyboard
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)
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context.chat_data["kept_matches"] = list(matching_models)
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return MEMORY_CHOICE
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async def choose_memory(self, update: Update, context: CallbackContext):
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query = update.callback_query
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ind = int(query.data)
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await query.answer()
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matching_models = context.chat_data["kept_matches"]
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chosen_match = matching_models[ind]
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rating_string = f" ({models.RATING_MAPPING[chosen_match.rating]})" if chosen_match.rating else ""
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message_text = f"On {chosen_match.date_pretty}{rating_string}, " \
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f"{chosen_match.author} wrote: \n" \
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f"{chosen_match.spoiler_text}"
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if chosen_match.media_path:
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# context.bot.sendPhoto()
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await update.effective_message.reply_photo(
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photo = chosen_match.media_path,
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caption = message_text,
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parse_mode=ParseMode.HTML
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)
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else:
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await query.edit_message_text(
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message_text,
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parse_mode=ParseMode.HTML
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)
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return ConversationHandler.END
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