Files
adiuva-api/app/api/routes/vectors.py

57 lines
1.8 KiB
Python

"""Vectors routes: upsert, search, and delete cloud vector store entries."""
from __future__ import annotations
from fastapi import APIRouter, Depends
from pydantic import BaseModel
from app.api.deps import get_current_user
from app.schemas import (
UserProfile,
VectorSearchRequest,
VectorSearchResponse,
VectorUpsertRequest,
)
from app.storage.encryption import reject_if_tampered
from app.storage.vector_store import VectorStore
router = APIRouter(prefix="/storage", tags=["vectors"])
_vector_store = VectorStore()
class _VectorDeleteRequest(BaseModel):
ids: list[str]
@router.post("/vectors/upsert", response_model=dict)
async def upsert_vectors(
body: VectorUpsertRequest,
current_user: UserProfile = Depends(get_current_user),
) -> dict[str, int]:
"""Verify checksums and store encrypted vectors in the user-scoped namespace."""
for item in body.vectors:
reject_if_tampered(item.blob, item.checksum)
await _vector_store.upsert(current_user.id, body.vectors)
return {"upserted": len(body.vectors)}
@router.post("/vectors/search", response_model=VectorSearchResponse)
async def search_vectors(
body: VectorSearchRequest,
current_user: UserProfile = Depends(get_current_user),
) -> VectorSearchResponse:
"""Search the user-scoped vector namespace with an encrypted query blob."""
results = await _vector_store.search(current_user.id, body.query_blob, body.top_k)
return VectorSearchResponse(results=results)
@router.delete("/vectors", response_model=dict)
async def delete_vectors(
body: _VectorDeleteRequest,
current_user: UserProfile = Depends(get_current_user),
) -> dict[str, bool]:
"""Delete vectors by ID, scoped to the authenticated user."""
await _vector_store.delete(current_user.id, body.ids)
return {"ok": True}