colibri.qdrant / tests /openapi /test_basic_retrieve_multivec_api.py
Gouzi Mohaled
Ajout du dossier tests
3932407
import pytest
from .helpers.collection_setup import drop_collection, multivec_collection_setup
from .helpers.helpers import request_with_validation
@pytest.fixture(autouse=True, scope="module")
def setup(on_disk_vectors, collection_name):
multivec_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
yield
drop_collection(collection_name=collection_name)
def test_points_retrieve(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/{id}',
method="GET",
path_params={'collection_name': collection_name, 'id': 2},
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points',
method="POST",
path_params={'collection_name': collection_name},
body={
"ids": [1, 2]
}
)
assert response.ok
assert len(response.json()['result']) == 2
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
assert response.json()['result']['points_count'] == 8
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
"limit": 3
}
)
assert response.ok
assert len(response.json()['result']) == 3
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"vector": {
"name": "sparse-image",
"vector": {
"indices": [2, 8],
"values": [0.2, 0.3]
}
},
"limit": 2
}
)
assert response.ok
assert len(response.json()['result']) == 2
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"filter": {
"should": [
{
"key": "city",
"match": {
"value": "London"
}
}
]
},
"vector": {
"name": "text",
"vector": [0.2, 0.1, 0.9, 0.7, 0.2, 0.1, 0.9, 0.7]
},
"limit": 3
}
)
assert response.ok
assert len(response.json()['result']) == 2 # only 2 London records in collection
response = request_with_validation(
api='/collections/{collection_name}/points/scroll',
method="POST",
path_params={'collection_name': collection_name},
body={"offset": 2, "limit": 2, "with_vector": True}
)
assert response.ok
assert len(response.json()['result']['points']) == 2
for point in response.json()['result']['points']:
assert point['vector'] is not None
assert len(point['vector']['text']) == 8
assert len(point['vector']['image']) == 4
response = request_with_validation(
api='/collections/{collection_name}/points/scroll',
method="POST",
path_params={'collection_name': collection_name},
body={"offset": 7, "limit": 2, "with_vector": True}
)
assert response.ok
assert len(response.json()['result']['points']) == 2
for point in response.json()['result']['points']:
assert point['vector'] is not None
assert len(point['vector']['sparse-text']) == 2
assert len(point['vector']['sparse-image']) == 2
def test_retrieve_invalid_vector(collection_name):
# Retrieve nonexistent vector name
response = request_with_validation(
api='/collections/{collection_name}/points',
method="POST",
path_params={'collection_name': collection_name},
body={
"ids": [1, 2, 3, 4],
"with_vectors": ["text", "image", "i_do_no_exist"],
"with_payload": True,
}
)
assert not response.ok
assert response.status_code == 400
error = response.json()["status"]["error"]
assert error == "Wrong input: Not existing vector name error: i_do_no_exist"
def test_exclude_payload(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
"limit": 5,
"filter": {
"should": [
{
"key": "city",
"match": {
"value": "London"
}
}
]
},
"with_payload": {
"exclude": ["city"]
}
}
)
assert response.ok
assert len(response.json()['result']) > 0
for result in response.json()['result']:
assert 'city' not in result['payload']
def test_is_empty_condition(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
body={
"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
"limit": 5,
"filter": {
"should": [
{
"is_empty": {
"key": "city"
}
}
]
},
"with_payload": True
}
)
assert len(response.json()['result']) == 2
for result in response.json()['result']:
assert "city" not in result['payload']
assert response.ok
def test_recommendation(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/recommend',
method="POST",
path_params={'collection_name': collection_name},
body={
"limit": 3,
"negative": [],
"positive": [1],
"with_vector": False,
"with_payload": True,
"using": "image"
}
)
assert len(response.json()['result']) == 3
assert response.json()['result'][0]['payload'] is not None
assert response.ok
def test_query_nested(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 8,
"vector": {
"image": [0.15, 0.31, 0.76, 0.74],
"text": [0.15, 0.31, 0.76, 0.74, 0.15, 0.31, 0.76, 0.74]
},
"payload": {
"database_id": {
"type": "keyword",
"value": "8594ff5d-265f-4785-a9f5-b3b4b9665506"
}
}
}
]
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points/scroll',
method="POST",
path_params={'collection_name': collection_name},
body={
"offset": None,
"limit": 10,
"with_vector": ["text"],
"filter": {
"must": [
{
"key": "database_id.value",
"match": {
"value": "8594ff5d-265f-4785-a9f5-b3b4b9665506"
}
}
]
}
}
)
assert response.ok
assert len(response.json()['result']['points']) == 1
assert 'text' in response.json()['result']['points'][0]['vector']
assert len(response.json()['result']['points'][0]['vector']) == 1