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from pydantic import BaseModel, Field | |
from typing import Optional, List, Dict, Any | |
from ctp_slack_bot.models.slack import SlackMessage | |
class RetreivedContext(BaseModel): | |
"""Represents a the context of a question from Slack returned from the Vector Store Database. | |
contextual_text: The text that is relevant to the question. | |
metadata_source: The source of the contextual text. | |
similarity_score: The similarity score of the contextual text to the question. | |
in_reation_to_question: OPTINAL: The question that the contextual text is related to. | |
""" | |
contextual_text: str | |
metadata_source: str | |
similarity_score: float | |
said_by: str = Optional[None] | |
in_reation_to_question: str = Optional[None] | |