mirror of
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82 lines
1.9 KiB
Python
82 lines
1.9 KiB
Python
from abc import ABC, abstractmethod
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from datetime import datetime
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from uuid import UUID
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class Repository(ABC):
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@abstractmethod
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def create_user_daily_usage(self, user_id: UUID, user_email: str, date: datetime):
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pass
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@abstractmethod
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def get_user_usage(self, user_id: UUID):
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pass
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@abstractmethod
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def get_user_requests_count_for_day(self, user_id: UUID, date: datetime):
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pass
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@abstractmethod
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def update_user_request_count(self, user_id: UUID, date: str):
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pass
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@abstractmethod
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def increment_user_request_count(
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self, user_id: UUID, date: str, current_request_count
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):
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pass
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@abstractmethod
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def set_file_vectors_ids(self, file_sha1: str):
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pass
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@abstractmethod
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def get_brain_vectors_by_brain_id_and_file_sha1(
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self, brain_id: UUID, file_sha1: str
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):
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pass
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@abstractmethod
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def create_subscription_invitation(
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self, brain_id: UUID, user_email: str, rights: str
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):
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pass
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@abstractmethod
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def update_subscription_invitation(
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self, brain_id: UUID, user_email: str, rights: str
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):
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pass
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@abstractmethod
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def get_subscription_invitations_by_brain_id_and_email(
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self, brain_id: UUID, user_email: str
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):
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pass
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@abstractmethod
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def get_vectors_by_file_name(self, file_name: str):
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pass
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@abstractmethod
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def similarity_search(
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self, query_embedding, table: str, top_k: int, threshold: float
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):
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pass
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@abstractmethod
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def update_summary(self, document_id: UUID, summary_id: int):
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pass
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@abstractmethod
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def get_vectors_by_batch(self, batch_id: UUID):
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pass
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@abstractmethod
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def get_vectors_in_batch(self, batch_ids):
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pass
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@abstractmethod
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def get_vectors_by_file_sha1(self, file_sha1):
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pass
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