quivr/backend/core/routes/explore_routes.py
ChloeMouret 711e9fb8c9
refactor: delete common_dependencies function (#843)
* use function for get_documents_vector_store

* use function for get_embeddings

* use function for get_supabase_client

* use function for get_supabase_db

* delete lasts common_dependencies
2023-08-03 20:24:42 +02:00

84 lines
2.3 KiB
Python

from uuid import UUID
from auth import AuthBearer, get_current_user
from fastapi import APIRouter, Depends, Query
from models.brains import Brain
from models.settings import get_supabase_db
from models.users import User
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: User = 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: User = 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}