"""Tests the vector store interface.""" from typing import Type import numpy as np import pytest from .vector_store import VectorStore from .vector_store_numpy import NumpyVectorStore ALL_STORES = [NumpyVectorStore] @pytest.mark.parametrize('store_cls', ALL_STORES) class VectorStoreSuite: def test_get_all(self, store_cls: Type[VectorStore]) -> None: store = store_cls() store.add([('a',), ('b',), ('c',)], np.array([[1, 2], [3, 4], [5, 6]])) np.testing.assert_array_equal( store.get([('a',), ('b',), ('c',)]), np.array([[1, 2], [3, 4], [5, 6]])) def test_get_subset(self, store_cls: Type[VectorStore]) -> None: store = store_cls() store.add([('a',), ('b',), ('c',)], np.array([[1, 2], [3, 4], [5, 6]])) np.testing.assert_array_equal(store.get([('b',), ('c',)]), np.array([[3, 4], [5, 6]])) def test_topk(self, store_cls: Type[VectorStore]) -> None: store = store_cls() embedding = np.array([[0.45, 0.89], [0.6, 0.8], [0.64, 0.77]]) query = np.array([0.89, 0.45]) topk = 3 store.add([('a',), ('b',), ('c',)], embedding) result = store.topk(query, topk) assert [key for key, _ in result] == [('c',), ('b',), ('a',)] assert [score for _, score in result] == pytest.approx([0.9161, 0.894, 0.801], 1e-3) def test_topk_with_restricted_keys(self, store_cls: Type[VectorStore]) -> None: store = store_cls() embedding = np.array([[0.45, 0.89], [0.6, 0.8], [0.64, 0.77]]) query = np.array([0.89, 0.45]) topk = 3 store.add([('a',), ('b',), ('c',)], embedding) result = store.topk(query, topk, key_prefixes=[('b',), ('a',)]) assert [key for key, _ in result] == [('b',), ('a',)] assert [score for _, score in result] == pytest.approx([0.894, 0.801], 1e-3) result = store.topk(query, topk, key_prefixes=[('a',), ('b',)]) assert [key for key, _ in result] == [('b',), ('a',)] assert [score for _, score in result] == pytest.approx([0.894, 0.801], 1e-3) result = store.topk(query, topk, key_prefixes=[('a',), ('c',)]) assert [key for key, _ in result] == [('c',), ('a',)] assert [score for _, score in result] == pytest.approx([0.9161, 0.801], 1e-3) def test_topk_with_key_prefixes(self, store_cls: Type[VectorStore]) -> None: store = store_cls() embedding = np.array([[8], [9], [3], [10]]) store.add([('a', 0), ('a', 1), ('b', 0), ('c', 0)], embedding) query = np.array([1]) result = store.topk(query, k=2, key_prefixes=[('b',), ('c',)]) assert result == [(('c', 0), 10.0), (('b', 0), 3.0)] result = store.topk(query, k=10, key_prefixes=[('b',), ('a',)]) assert result == [(('a', 1), 9.0), (('a', 0), 8.0), (('b', 0), 3.0)]