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import pytest
from .helpers.collection_setup import basic_collection_setup, drop_collection
from .helpers.helpers import request_with_validation
@pytest.fixture(autouse=True, scope="module")
def setup(on_disk_vectors, collection_name):
basic_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
yield
drop_collection(collection_name=collection_name)
def test_default_is_avg_vector(collection_name):
params = {
"positive": [1, 2],
"negative": [3, 4],
"exact": True,
"limit": 10,
}
default_response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
**params,
},
)
assert default_response.ok
# we should only get 4 because there are 8 vectors and we used 4 as examples
assert len(default_response.json()["result"]) == 4
avg_response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
**params,
"strategy": "average_vector",
},
)
assert avg_response.ok
assert len(avg_response.json()["result"]) == 4
assert default_response.json()["result"] == avg_response.json()["result"]
def test_single_vs_batch(collection_name):
# Bunch of valid examples
params_list = [
{
"positive": [1, 2],
"negative": [3, 4],
"limit": 1,
},
{
"positive": [1],
"negative": [3, 4],
"limit": 1,
},
{
# no negative because it's optional with this strategy
"negative": [4, 5],
"exact": True,
"strategy": "best_score",
"limit": 1,
},
{
"positive": [2, 3],
"negative": [4, 5],
"strategy": "best_score",
"limit": 1,
},
{
"positive": [2, 3],
"negative": [4, 5],
"exact": True,
"strategy": "best_score",
"limit": 1,
},
{
"positive": [8],
"negative": [],
"exact": True,
"strategy": "average_vector",
"limit": 1,
},
]
batch_response = request_with_validation(
api="/collections/{collection_name}/points/recommend/batch",
method="POST",
path_params={"collection_name": collection_name},
body={"searches": params_list},
)
assert batch_response.ok
assert len(batch_response.json()["result"]) == len(params_list)
# Compare against sequential single searches
for i, params in enumerate(params_list):
single_response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body=params,
)
assert single_response.ok
assert single_response.json()["result"] == batch_response.json()["result"][i]
def test_without_positives(collection_name):
def req_with_positives(positive, strategy=None):
if strategy is None:
strat_dict = {}
else:
strat_dict = {"strategy": strategy}
return request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": positive,
**strat_dict,
"limit": 2,
},
)
# Assert this is valid
response = req_with_positives([1, 2])
assert response.ok
# But all these are not
response = req_with_positives([])
assert response.status_code == 400
response = req_with_positives([], "average_vector")
assert response.status_code == 400
# Also no negative and no positive is invalid with best_score
response = req_with_positives([], "best_score")
assert response.status_code == 400
def test_best_score_works_with_only_negatives(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"negative": [1, 2],
"strategy": "best_score",
"limit": 5,
},
)
assert response.ok
assert len(response.json()["result"]) == 5
# All scores should be negative
for result in response.json()["result"]:
assert result["score"] < 0
def test_only_1_positive_in_best_score_is_equivalent_to_normal_search(collection_name):
limit = 4
# recommendation response
reco_response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": [1],
"strategy": "best_score",
"limit": limit,
"exact": True,
},
)
assert reco_response.ok
assert len(reco_response.json()["result"]) == limit
# Get vector from point 1
vector = get_points(collection_name, [1])[0]["vector"]
# Use normal search with that vector
search_response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": vector,
"filter": {"must_not": [{"has_id": [1]}]},
"limit": limit,
"exact": True,
},
)
assert search_response.ok
assert len(search_response.json()["result"]) == limit
# Scores can be different, but the ids and order should be the same
reco_ids = [result["id"] for result in reco_response.json()["result"]]
search_ids = [result["id"] for result in search_response.json()["result"]]
assert reco_ids == search_ids
def get_points(collection_name, ids: list):
response = request_with_validation(
api="/collections/{collection_name}/points",
method="POST",
path_params={"collection_name": collection_name},
body={
"ids": ids,
"with_vector": True,
},
)
assert response.ok
return response.json()["result"]
def test_raw_vectors(collection_name):
points = get_points(collection_name, [1, 2, 3, 4, 5, 6, 7, 8])
# Assert using ids is the same as using the raw vectors
response_ids = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": [point["id"] for point in points[:2]],
"negative": [point["id"] for point in points[2:4]],
"limit": 8,
},
)
assert response_ids.ok
assert len(response_ids.json()["result"]) == 4
response_raw = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": [point["vector"] for point in points[:2]],
"negative": [point["vector"] for point in points[2:4]],
"limit": 8,
"filter": {
"must_not": [
{
# simulate using ids behavior
"has_id": [point["id"] for point in points[:4]]
}
]
},
},
)
assert response_raw.ok
assert len(response_raw.json()["result"]) == 4
assert response_ids.json()["result"] == response_raw.json()["result"]
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