2017-05-22 13:20:26 +02:00
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#!/usr/bin/env python
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#
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# A library that provides a Python interface to the Telegram Bot API
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# Copyright (C) 2015-2017
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# Leandro Toledo de Souza <devs@python-telegram-bot.org>
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser Public License as published by
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# 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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# This program 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 Public License for more details.
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#
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# You should have received a copy of the GNU Lesser Public License
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# along with this program. If not, see [http://www.gnu.org/licenses/].
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""" This module contains the PreCheckoutQueryHandler class """
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from telegram import Update
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from .handler import Handler
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class PreCheckoutQueryHandler(Handler):
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"""
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Handler class to handle Telegram PreCheckout callback queries.
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Args:
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callback (function): A function that takes ``bot, update`` as
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positional arguments. It will be called when the ``check_update``
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has determined that an update should be processed by this handler.
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pass_update_queue (optional[bool]): If set to ``True``, a keyword argument called
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``update_queue`` will be passed to the callback function. It will be the ``Queue``
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instance used by the ``Updater`` and ``Dispatcher`` that contains new updates which can
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be used to insert updates. Default is ``False``.
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pass_job_queue (optional[bool]): If set to ``True``, a keyword argument called
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``job_queue`` will be passed to the callback function. It will be a ``JobQueue``
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instance created by the ``Updater`` which can be used to schedule new jobs.
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Default is ``False``.
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pass_user_data (optional[bool]): If set to ``True``, a keyword argument called
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``user_data`` will be passed to the callback function. It will be a ``dict`` you
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can use to keep any data related to the user that sent the update. For each update of
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the same user, it will be the same ``dict``. Default is ``False``.
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pass_chat_data (optional[bool]): If set to ``True``, a keyword argument called
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``chat_data`` will be passed to the callback function. It will be a ``dict`` you
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can use to keep any data related to the chat that the update was sent in.
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For each update in the same chat, it will be the same ``dict``. Default is ``False``.
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"""
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def __init__(self,
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callback,
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pass_update_queue=False,
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pass_job_queue=False,
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pass_user_data=False,
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pass_chat_data=False):
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super(PreCheckoutQueryHandler, self).__init__(
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callback,
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pass_update_queue=pass_update_queue,
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pass_job_queue=pass_job_queue,
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pass_user_data=pass_user_data,
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pass_chat_data=pass_chat_data)
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def check_update(self, update):
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2017-06-08 03:47:19 +02:00
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return isinstance(update, Update) and update.pre_checkout_query
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2017-05-22 13:20:26 +02:00
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def handle_update(self, update, dispatcher):
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optional_args = self.collect_optional_args(dispatcher, update)
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return self.callback(dispatcher.bot, update, **optional_args)
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