Files
qdrant/tests/openapi/openapi_integration/test_sparse_update.py
Andrey Vasnetsov 3e4c6dc0d3 Fix inplace updates for sparse index (#4375)
* include old vector into update function and clean posting lists accordingly

* add integration test

* fix counter

* also remove old vector if the insertion is empty

* clippy

* borrow once

* fix max_next_weight correcton on delete + test

* vector index responsible for updating vector storage

* review fixes

* add debug assert
2024-06-12 12:13:49 +02:00

154 lines
4.0 KiB
Python

import pytest
from .helpers.collection_setup import drop_collection
from .helpers.helpers import request_with_validation
collection_name = 'test_sparse_dense_collection_setup'
@pytest.fixture(autouse=True)
def setup():
sparse_collection_setup(collection_name=collection_name)
yield
drop_collection(collection_name=collection_name)
def sparse_collection_setup(
collection_name='test_collection',
):
response = request_with_validation(
api='/collections/{collection_name}',
method="DELETE",
path_params={'collection_name': collection_name},
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="PUT",
path_params={'collection_name': collection_name},
body={
"sparse_vectors": {
"text": {}
},
}
)
assert response.ok
def test_sparse_dense_updates():
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 1,
"vector": {
"text": {
"indices": [100, 500, 10], "values": [0.9, 0.8, 0.5]
}
}
}
]
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"limit": 10,
"vector": {
"name": "text",
"vector": {
"indices": [100],
"values": [0.9]
}
}
}
)
assert response.ok
assert len(response.json()['result']) == 1
# Overwrite existing vector with new indices
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 1,
"vector": {
"text": {
"indices": [600, 700, 10], "values": [0.9, 0.8, 0.5]
}
}
}
]
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"limit": 10,
"vector": {
"name": "text",
"vector": {
"indices": [100],
"values": [0.9]
}
}
}
)
assert response.ok
assert len(response.json()['result']) == 0
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"limit": 10,
"vector": {
"name": "text",
"vector": {
"indices": [700],
"values": [0.9]
}
}
}
)
assert response.ok
assert len(response.json()['result']) == 1
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"limit": 10,
"vector": {
"name": "text",
"vector": {
"indices": [10],
"values": [0.9]
}
}
}
)
assert response.ok
assert len(response.json()['result']) == 1