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import pytest
from .helpers.collection_setup import drop_collection
from .helpers.helpers import request_with_validation
@pytest.fixture(autouse=True)
def setup(on_disk_vectors, collection_name):
multivector_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
yield
drop_collection(collection_name=collection_name)
def multivector_collection_setup(
collection_name='test_collection',
on_disk_vectors=False):
drop_collection(collection_name=collection_name)
response = request_with_validation(
api='/collections/{collection_name}',
method="PUT",
path_params={'collection_name': collection_name},
body={
"vectors": {
"size": 2,
"distance": "Dot",
"on_disk": on_disk_vectors,
"multivector_config": {
"comparator": "max_sim"
}
},
}
)
assert response.ok
# batch upsert
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": [
[-1, 1],
[-2, 2],
[-3, 3]
]
},
{
"id": 2,
"vector": [
[-1.5, 1.5],
[-2.5, 2.5],
[-3.5, 3.5]
]
},
{
"id": 3,
"vector": [
[-1.7, 1.7],
[-2.7, 2.7],
[-3.7, 3.7]
]
},
]
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
def test_multi_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 3 because we don't have more
assert len(default_response.json()["result"]) == 3
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"]) == 3
assert default_response.json()["result"] == avg_response.json()["result"]
def test_multi_single_vs_batch(collection_name):
# Bunch of valid examples
params_list = [
{
"positive": [1],
"negative": [3],
"limit": 1,
},
{
# no negative because it's optional with this strategy
"negative": [1, 2],
"exact": True,
"strategy": "best_score",
"limit": 1,
},
{
"positive": [1],
"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_multi_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_multi_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"]) == 3
# All scores should be negative
for result in response.json()["result"]:
assert result["score"] < 0
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