from pydantic import UUID4, Field

from llm_engineering.domain.base import VectorBaseDocument
from llm_engineering.domain.types import DataCategory

from typing import Optional, Tuple


class Query(VectorBaseDocument):
    content: str
    author_id: UUID4 | None = None
    author_full_name: str | None = None
    metadata: dict = Field(default_factory=dict)
    # Video-specific fields
    time_constraints: Optional[Tuple[float, float]] = None
    visual_context: Optional[str] = None  # Path to reference image

    class Config:
        category = DataCategory.QUERIES

    @classmethod
    def from_str(cls, query: str) -> "Query":
        # return Query(content=query.strip("\n "))
        return Query(content=query)

    def replace_content(self, new_content: str) -> "Query":
        return Query(
            id=self.id,
            content=new_content,
            author_id=self.author_id,
            author_full_name=self.author_full_name,
            metadata=self.metadata,
        )


class EmbeddedQuery(Query):
    embedding: list[float]

    class Config:
        category = DataCategory.QUERIES