Source code for hydrogram.raw.functions.payments.get_suggested_star_ref_bots

#  Hydrogram - Telegram MTProto API Client Library for Python
#  Copyright (C) 2023-present Hydrogram <https://hydrogram.org>
#
#  This file is part of Hydrogram.
#
#  Hydrogram is free software: you can redistribute it and/or modify
#  it under the terms of the GNU Lesser General Public License as published
#  by the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
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#  GNU Lesser General Public License for more details.
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from io import BytesIO

from hydrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector
from hydrogram.raw.core import TLObject
from hydrogram import raw
from typing import List, Optional, Any

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[docs] class GetSuggestedStarRefBots(TLObject): # type: ignore """Obtain a list of suggested mini apps with available affiliate programs Details: - Layer: ``223`` - ID: ``D6B48F7`` Parameters: peer (:obj:`InputPeer <hydrogram.raw.base.InputPeer>`): The peer that will become the affiliate: star commissions will be transferred to this peer's star balance. offset (``str``): Offset for pagination, taken from payments.suggestedStarRefBots.next_offset, initially empty. limit (``int`` ``32-bit``): Maximum number of results to return, see pagination order_by_revenue (``bool``, *optional*): If set, orders results by the expected revenue order_by_date (``bool``, *optional*): If set, orders results by the creation date of the affiliate program Returns: :obj:`payments.SuggestedStarRefBots <hydrogram.raw.base.payments.SuggestedStarRefBots>` """ __slots__: List[str] = ["peer", "offset", "limit", "order_by_revenue", "order_by_date"] ID = 0xd6b48f7 QUALNAME = "functions.payments.GetSuggestedStarRefBots" def __init__(self, *, peer: "raw.base.InputPeer", offset: str, limit: int, order_by_revenue: Optional[bool] = None, order_by_date: Optional[bool] = None) -> None: self.peer = peer # InputPeer self.offset = offset # string self.limit = limit # int self.order_by_revenue = order_by_revenue # flags.0?true self.order_by_date = order_by_date # flags.1?true @staticmethod def read(b: BytesIO, *args: Any) -> "GetSuggestedStarRefBots": flags = Int.read(b) order_by_revenue = True if flags & (1 << 0) else False order_by_date = True if flags & (1 << 1) else False peer = TLObject.read(b) offset = String.read(b) limit = Int.read(b) return GetSuggestedStarRefBots(peer=peer, offset=offset, limit=limit, order_by_revenue=order_by_revenue, order_by_date=order_by_date) def write(self, *args) -> bytes: b = BytesIO() b.write(Int(self.ID, False)) flags = 0 flags |= (1 << 0) if self.order_by_revenue else 0 flags |= (1 << 1) if self.order_by_date else 0 b.write(Int(flags)) b.write(self.peer.write()) b.write(String(self.offset)) b.write(Int(self.limit)) return b.getvalue()