from __future__ import annotations from typing import List from pydantic import BaseModel, Field from backend.schema.cqGen import ClarifyingQuestion class InputContext(BaseModel): """ Represents one interaction block containing the query and associated Q&A. """ user_query: str = Field( ..., alias="user query", description="The initial query provided by the user." ) clarified_qa: List[ClarifyingQuestion] = Field( ..., alias="clarified Q&A", description="List of clarifying questions and answers associated with this query." ) class CompromiseDetails(BaseModel): """ Breakdown of the user's willingness to compromise. """ willing_to_compromise: bool = Field( ..., description="True if the user indicates flexibility or willingness to change plans." ) compromise_factors: List[str] = Field( default_factory=list, description="Specific list of factors the user is willing to compromise on (e.g., ['budget', 'travel dates', " "'airline'])." ) class IntentClassificationOutput(BaseModel): session_id: str = Field( ..., description="Unique identifier for the session this intent classification belongs to." ) input_data: List[InputContext] = Field( ..., alias="input", description="A history of the user's queries and the resulting clarified Q&A contexts." ) user_travel_persona: str = Field( ..., description="A synthesized summary of the user's travel preferences, likes, and dislikes based on the input." ) travel_intent: str = Field( ..., description="The specific goal or intention of the user's trip (e.g., 'Business trip with leisure', " "'Budget backpacking')." ) compromise: CompromiseDetails = Field( ..., description="Analysis of whether the user allows flexibility and on which specific aspects." ) db_ingestion_status: bool = Field( default=False, description="Status indicating whether the intent classification response was successfully ingested into the database." )