131 lines
4.5 KiB
Python
131 lines
4.5 KiB
Python
from typing import Optional
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from idm.api.proto.chat_manager_service_pb2 import Chat as ChatPb
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from nexus.bot.application import TelegramApplication
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from nexus.meta_api.proto.meta_search_service_pb2 import \
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ScoredDocument as ScoredDocumentPb
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from nexus.translations import t
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from nexus.views.telegram.common import close_button
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from nexus.views.telegram.registry import parse_typed_document_to_view
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from telethon import Button
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class DocumentListWidget:
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def __init__(
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self,
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application: TelegramApplication,
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chat: ChatPb,
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session_id: str,
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message_id: int,
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request_id: str,
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referencing_to: int,
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page: int = 0,
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):
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self.application = application
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self.chat = chat
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self.session_id = session_id
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self.message_id = message_id
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self.request_id = request_id
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self.referencing_to = referencing_to
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self.page = page
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@staticmethod
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async def create(
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application: TelegramApplication,
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chat: ChatPb,
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session_id: str,
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message_id: int,
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request_id: str,
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referencing_to: int,
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page: int = 0,
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) -> 'DocumentListWidget':
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document_list_view = DocumentListWidget(
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application=application,
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chat=chat,
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session_id=session_id,
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message_id=message_id,
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request_id=request_id,
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referencing_to=referencing_to,
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page=page,
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)
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await document_list_view._acquire_documents()
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return document_list_view
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async def _acquire_documents(self):
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typed_document_pb = await self.application.meta_api_client.get(
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schema='scimag',
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document_id=self.referencing_to,
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position=0,
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request_id=self.request_id,
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session_id=self.session_id,
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user_id=self.chat.chat_id,
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)
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self._response = await self.application.meta_api_client.search(
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schemas=('scimag',),
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query=f'references:"{typed_document_pb.scimag.doi}"',
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page=self.page,
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request_id=self.request_id,
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session_id=self.session_id,
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user_id=self.chat.chat_id,
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)
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@property
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def has_next(self) -> bool:
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return self._response.has_next
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@property
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def scored_documents(self) -> list[ScoredDocumentPb]:
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return self._response.scored_documents
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async def render(self) -> tuple[str, Optional[list]]:
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if not len(self.scored_documents):
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return t('COULD_NOT_FIND_ANYTHING', language=self.chat.language), [close_button(self.session_id)]
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serp_elements = [
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f'Linked to: {self.referencing_to}',
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]
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for scored_document in self.scored_documents:
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view = parse_typed_document_to_view(scored_document.typed_document)
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view_command = view.get_view_command(
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session_id=self.session_id,
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message_id=self.message_id,
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parent_view_type='r',
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position=scored_document.position,
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)
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serp_elements.append(
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view.get_snippet(
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language=self.chat.language,
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view_command=view_command,
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limit=512 + 128,
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)
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)
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promo = self.application.promotioner.choose_promotion(language=self.chat.language).format(
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related_channel=self.application.config['telegram']['related_channel'],
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)
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serp_elements.append(promo)
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serp = '\n\n'.join(serp_elements)
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buttons = []
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if self.has_next or self.page > 0:
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buttons = [
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Button.inline(
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text='<<1' if self.page > 1 else ' ',
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data=f'/rp_{self.session_id}_{self.message_id}_{self.referencing_to}_0'
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if self.page > 1 else '/noop',
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),
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Button.inline(
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text=f'<{self.page}' if self.page > 0 else ' ',
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data=f'/rp_{self.session_id}_{self.message_id}_{self.referencing_to}_{self.page - 1}'
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if self.page > 0 else '/noop',
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),
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Button.inline(
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text=f'{self.page + 2}>' if self.has_next else ' ',
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data=f'/rp_{self.session_id}_{self.message_id}_{self.referencing_to}_{self.page + 1}'
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if self.has_next else '/noop',
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)
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]
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buttons.append(close_button(self.session_id))
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return serp, buttons
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