Source code for hydrogram.raw.functions.channels.search_posts

#  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 SearchPosts(TLObject): # type: ignore """Globally search for posts from public channels » (including those we aren't a member of) containing either a specific hashtag, or a full text query. Details: - Layer: ``223`` - ID: ``F2C4F24D`` Parameters: offset_rate (``int`` ``32-bit``): Initially 0, then set to the next_rate parameter of messages.messagesSlice, or if that is absent, the date of the last returned message. offset_peer (:obj:`InputPeer <hydrogram.raw.base.InputPeer>`): Offsets for pagination, for more info click here offset_id (``int`` ``32-bit``): Offsets for pagination, for more info click here limit (``int`` ``32-bit``): Maximum number of results to return, see pagination hashtag (``str``, *optional*): The hashtag to search, without the # character. query (``str``, *optional*): The full text query: each user has a limited amount of free full text search slots, after which payment is required, see here » for more info on the full flow. allow_paid_stars (``int`` ``64-bit``, *optional*): For full text post searches (query), allows payment of the specified amount of Stars for the search, see here » for more info on the full flow. Returns: :obj:`messages.Messages <hydrogram.raw.base.messages.Messages>` """ __slots__: List[str] = ["offset_rate", "offset_peer", "offset_id", "limit", "hashtag", "query", "allow_paid_stars"] ID = 0xf2c4f24d QUALNAME = "functions.channels.SearchPosts" def __init__(self, *, offset_rate: int, offset_peer: "raw.base.InputPeer", offset_id: int, limit: int, hashtag: Optional[str] = None, query: Optional[str] = None, allow_paid_stars: Optional[int] = None) -> None: self.offset_rate = offset_rate # int self.offset_peer = offset_peer # InputPeer self.offset_id = offset_id # int self.limit = limit # int self.hashtag = hashtag # flags.0?string self.query = query # flags.1?string self.allow_paid_stars = allow_paid_stars # flags.2?long @staticmethod def read(b: BytesIO, *args: Any) -> "SearchPosts": flags = Int.read(b) hashtag = String.read(b) if flags & (1 << 0) else None query = String.read(b) if flags & (1 << 1) else None offset_rate = Int.read(b) offset_peer = TLObject.read(b) offset_id = Int.read(b) limit = Int.read(b) allow_paid_stars = Long.read(b) if flags & (1 << 2) else None return SearchPosts(offset_rate=offset_rate, offset_peer=offset_peer, offset_id=offset_id, limit=limit, hashtag=hashtag, query=query, allow_paid_stars=allow_paid_stars) def write(self, *args) -> bytes: b = BytesIO() b.write(Int(self.ID, False)) flags = 0 flags |= (1 << 0) if self.hashtag is not None else 0 flags |= (1 << 1) if self.query is not None else 0 flags |= (1 << 2) if self.allow_paid_stars is not None else 0 b.write(Int(flags)) if self.hashtag is not None: b.write(String(self.hashtag)) if self.query is not None: b.write(String(self.query)) b.write(Int(self.offset_rate)) b.write(self.offset_peer.write()) b.write(Int(self.offset_id)) b.write(Int(self.limit)) if self.allow_paid_stars is not None: b.write(Long(self.allow_paid_stars)) return b.getvalue()