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from math import isclose
import pytest
import requests
import os
from .helpers.collection_setup import basic_collection_setup, drop_collection
from .helpers.helpers import distribution_based_score_fusion, reciprocal_rank_fusion, request_with_validation, \
qdrant_host_headers
from .helpers.settings import QDRANT_HOST
@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)
response = request_with_validation(
api="/collections/{collection_name}/index",
method="PUT",
path_params={"collection_name": collection_name},
body={"field_name": "price", "field_schema": "float"},
)
assert response.ok
yield
drop_collection(collection_name=collection_name)
def test_query_validation(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"prefetch": [
{
"query": {
"recommend": {
"positive": [1]
},
}
}
]
},
)
assert not response.ok, response.text
assert response.json()["status"]["error"] == ("Bad request: A query is needed to merge the prefetches. Can't have prefetches without defining a query.")
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"score_threshold": 10,
},
)
assert not response.ok, response.text
assert response.json()["status"]["error"] == ("Bad request: A query is needed to use the score_threshold. Can't have score_threshold without defining a query.")
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"score_threshold": 10,
"query": {
"order_by": {
"key": "price",
}
}
},
)
assert not response.ok, response.text
assert response.json()["status"]["error"] == ("Bad request: Can't use score_threshold with an order_by query.")
# raw query to bypass local validation
response = requests.post(f"{QDRANT_HOST}/collections/{collection_name}/points/query",
headers=qdrant_host_headers(),
json={
"query": {
"recommend": {
"positive": [1]
},
},
"limit": 0,
},
)
assert not response.ok, response.text
assert response.json()["status"]["error"] == ("Validation error in JSON body: [internal.limit: value 0 invalid, must be 1 or larger]")
def root_and_rescored_query(collection_name, query, limit=None, with_payload=None):
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"query": query,
"limit": limit,
"with_payload": with_payload,
},
)
assert response.ok
root_query_result = response.json()["result"]["points"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"prefetch": {
"limit": 1000,
},
"query": query,
"with_payload": with_payload,
},
)
assert response.ok
nested_query_result = response.json()["result"]["points"]
assert root_query_result == nested_query_result
return root_query_result
def test_basic_search(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": [0.1, 0.2, 0.3, 0.4],
"limit": 10,
},
)
assert response.ok
search_result = response.json()["result"]
default_query_result = root_and_rescored_query(collection_name, [0.1, 0.2, 0.3, 0.4])
nearest_query_result = root_and_rescored_query(collection_name, {"nearest": [0.1, 0.2, 0.3, 0.4]})
assert search_result == default_query_result
assert search_result == nearest_query_result
def test_basic_scroll(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/scroll",
method="POST",
path_params={"collection_name": collection_name},
body={},
)
assert response.ok
scroll_result = response.json()["result"]["points"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"with_payload": True,
},
)
assert response.ok
query_result = response.json()["result"]["points"]
for record, scored_point in zip(scroll_result, query_result):
assert record.get("id") == scored_point.get("id")
assert record.get("payload") == scored_point.get("payload")
def test_basic_scroll_offset(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/scroll",
method="POST",
path_params={"collection_name": collection_name},
body={
"offset": 2, # skip first record, start at id 2
},
)
assert response.ok
scroll_result = response.json()["result"]["points"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"with_payload": True,
"offset": 1, # skip one record
},
)
assert response.ok
query_result = response.json()["result"]["points"]
for record, scored_point in zip(scroll_result, query_result):
assert record.get("id") == scored_point.get("id")
assert record.get("payload") == scored_point.get("payload")
def test_basic_recommend_avg(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": [1, 2, 3, 4], # ids
"negative": [3], # ids
"limit": 10,
},
)
assert response.ok
recommend_result = response.json()["result"]
query_result = root_and_rescored_query(collection_name,
{
"recommend": {"positive": [1, 2, 3, 4], "negative": [3]}, # ids
}
)
assert recommend_result == query_result
def test_basic_recommend_best_score(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/recommend",
method="POST",
path_params={"collection_name": collection_name},
body={
"positive": [1, 2, 3, 4], # ids
"negative": [3], # ids
"limit": 10,
"strategy": "best_score",
},
)
assert response.ok
recommend_result = response.json()["result"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"query": {
"recommend": {
"positive": [1, 2, 3, 4], # ids
"negative": [3], # ids
"strategy": "best_score",
},
}
},
)
assert response.ok
query_result = response.json()["result"]["points"]
assert recommend_result == query_result
def test_basic_discover(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/discover",
method="POST",
path_params={"collection_name": collection_name},
body={
"target": 2, # ids
"context": [{"positive": 3, "negative": 4}], # ids
"limit": 10,
},
)
assert response.ok
discover_result = response.json()["result"]
query_result = root_and_rescored_query(collection_name,
{
"discover": {
"target": 2,
"context": [{"positive": 3, "negative": 4}],
}
},
)
assert discover_result == query_result
def test_basic_context(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/discover",
method="POST",
path_params={"collection_name": collection_name},
body={
"context": [{"positive": 2, "negative": 4}],
"limit": 100,
},
)
assert response.ok
context_result = response.json()["result"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"query": {
"context": [{"positive": 2, "negative": 4}],
},
"limit": 100,
},
)
assert response.ok
query_result = response.json()["result"]["points"]
assert set([p["id"] for p in context_result]) == set([p["id"] for p in query_result])
def test_basic_order_by(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/scroll",
method="POST",
path_params={"collection_name": collection_name},
body={
"order_by": "price",
},
)
assert response.ok, response.text
scroll_result = response.json()["result"]["points"]
query_result = root_and_rescored_query(collection_name, {"order_by": "price"}, with_payload=True)
for record, scored_point in zip(scroll_result, query_result):
assert record.get("id") == scored_point.get("id")
assert record.get("payload") == scored_point.get("payload")
def test_basic_random_query(collection_name):
ids_lists = set()
for _ in range(4):
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"query": { "sample": "random" }
},
)
assert response.ok, response.text
points = response.json()["result"]["points"]
assert len(points) == 10
assert set(point["id"] for point in points) == set(range(1, 11))
ids = str([point["id"] for point in points])
ids_lists.add(ids)
# check the order of ids are different at least once
assert len(ids_lists) > 1
def test_basic_rrf(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": [0.1, 0.2, 0.3, 0.4],
"limit": 10,
},
)
assert response.ok
search_result_1 = response.json()["result"]
response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": [0.5, 0.6, 0.7, 0.8],
"limit": 10,
},
)
assert response.ok
search_result_2 = response.json()["result"]
rrf_expected = reciprocal_rank_fusion([search_result_1, search_result_2], limit=10)
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"prefetch": [
{ "query": [0.1, 0.2, 0.3, 0.4] },
{ "query": [0.5, 0.6, 0.7, 0.8] },
],
"query": {"fusion": "rrf"},
},
)
assert response.ok, response.json()
rrf_result = response.json()["result"]["points"]
def get_id(x):
return x["id"]
# rrf order is not deterministic with same scores, so we need to sort by id
for expected, result in zip(sorted(rrf_expected, key=get_id), sorted(rrf_result, key=get_id)):
assert expected["id"] == result["id"]
assert expected.get("payload") == result.get("payload")
assert isclose(expected["score"], result["score"], rel_tol=1e-5)
def test_basic_dbsf(collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": [0.1, 0.2, 0.3, 0.4],
"limit": 10,
},
)
assert response.ok
search_result_1 = response.json()["result"]
response = request_with_validation(
api="/collections/{collection_name}/points/search",
method="POST",
path_params={"collection_name": collection_name},
body={
"vector": [0.5, 0.6, 0.7, 0.8],
"limit": 10,
},
)
assert response.ok
search_result_2 = response.json()["result"]
dbsf_expected = distribution_based_score_fusion([search_result_1, search_result_2], limit=10)
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"prefetch": [
{ "query": [0.1, 0.2, 0.3, 0.4] },
{ "query": [0.5, 0.6, 0.7, 0.8] },
],
"query": {"fusion": "dbsf"},
},
)
assert response.ok, response.json()
dbsf_result = response.json()["result"]["points"]
for point, expected in zip(dbsf_result, dbsf_expected):
assert point["id"] == expected["id"]
assert point.get("payload") == expected.get("payload")
assert isclose(point["score"], expected["score"], rel_tol=1e-5)
@pytest.mark.parametrize("body", [
{
"prefetch": [
{ "query": [0.1, 0.2, 0.3, 0.4] },
{ "query": [0.5, 0.6, 0.7, 0.8] },
],
"query": {"fusion": "rrf"},
},
{ "query": [0.1, 0.2, 0.3, 0.4] }
])
def test_score_threshold(body, collection_name):
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
**body
},
)
assert response.ok, response.json()
points = response.json()["result"]["points"]
assert len(points) == 8
score_threshold = points[3]["score"]
response = request_with_validation(
api="/collections/{collection_name}/points/query",
method="POST",
path_params={"collection_name": collection_name},
body={
"score_threshold": score_threshold,
**body
},
)
assert response.ok, response.json()
points = response.json()["result"]["points"]
assert len(points) < 8
for point in points:
assert point["score"] >= score_threshold
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