quivr/backend/routes/explore_routes.py

from uuid import UUID

from auth import AuthBearer, get_current_user
from fastapi import APIRouter, Depends, Query
from models import Brain, UserIdentity, get_supabase_db
from routes.authorizations.brain_authorization import (
    RoleEnum,
    has_brain_authorization,
    validate_brain_authorization,
)

explore_router = APIRouter()


@explore_router.get("/explore/", dependencies=[Depends(AuthBearer())], tags=["Explore"])
async def explore_endpoint(
    brain_id: UUID = Query(..., description="The ID of the brain"),
):
    """
    Retrieve and explore unique user data vectors.
    """
    brain = Brain(id=brain_id)
    unique_data = brain.get_unique_brain_files()

    unique_data.sort(key=lambda x: int(x["size"]), reverse=True)
    return {"documents": unique_data}


@explore_router.delete(
    "/explore/{file_name}/",
    dependencies=[
        Depends(AuthBearer()),
        Depends(has_brain_authorization(RoleEnum.Owner)),
    ],
    tags=["Explore"],
)
async def delete_endpoint(
    file_name: str,
    current_user: UserIdentity = Depends(get_current_user),
    brain_id: UUID = Query(..., description="The ID of the brain"),
):
    """
    Delete a specific user file by file name.
    """
    brain = Brain(id=brain_id)
    brain.delete_file_from_brain(file_name)

    return {
        "message": f"{file_name} of brain {brain_id} has been deleted by user {current_user.email}."
    }


@explore_router.get(
    "/explore/{file_name}/", dependencies=[Depends(AuthBearer())], tags=["Explore"]
)
async def download_endpoint(
    file_name: str, current_user: UserIdentity = Depends(get_current_user)
):
    """
    Download a specific user file by file name.
    """
    # check if user has the right to get the file: add brain_id to the query

    supabase_db = get_supabase_db()
    response = supabase_db.get_vectors_by_file_name(file_name)
    documents = response.data

    if len(documents) == 0:
        return {"documents": []}

    related_brain_id = (
        documents[0]["brains_vectors"][0]["brain_id"]
        if len(documents[0]["brains_vectors"]) != 0
        else None
    )
    if related_brain_id is None:
        raise Exception(f"File {file_name} has no brain_id associated with it")

    validate_brain_authorization(brain_id=related_brain_id, user_id=current_user.id)

    return {"documents": documents}