Files
qdrant/tests/openapi/test_timeout.py
Predrag Knezevic 96a5a2bce8 Test collections unique per openapi test module (#5384)
Collection name under test is equal to the test module name, without `.py` suffix.

* Helps by debugging/tracing failed tests and find relevant logs lines in qdrant log files
* Opens up a possibility to run tests in parallel, given that there are no data sharing
  between test modules

Change details:
* defined module scoped `collection_name` fixture in `conftest.py`
* removed `collection_name` module variable
* each test signature modified to declare the dependency to `collection_name` fixture
* `@pytest.mark.parametrize` migrated to `@pytest-cases.parametrize` in cases when
  `collection_name` was used as the value
2024-11-08 11:27:05 +01:00

205 lines
6.7 KiB
Python

from random import random
import subprocess
import pytest
from .helpers.helpers import request_with_validation
from .helpers.collection_setup import drop_collection
num_vectors = 200000
dims = 1024
@pytest.skip("Too big for CI, requires bfb installed", allow_module_level=True)
@pytest.fixture(autouse=True, scope='module')
def setup(collection_name):
drop_collection(collection_name)
response = request_with_validation(
api='/collections/{collection_name}',
method="PUT",
path_params={'collection_name': collection_name},
body={
"vectors": {
"size": dims,
"distance": "Euclid",
"on_disk": True,
},
"optimizers_config": {
"indexing_threshold": 0,
}
}
)
assert response.ok
subprocess.run(['bfb', '--collection-name', collection_name, '--skip-create', '--dim', str(dims), '--num-vectors', str(num_vectors), '--keywords', '300'])
yield
drop_collection(collection_name=collection_name)
def test_search_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/search',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"vector": [random() for _ in range(dims)],
"limit": 100000,
"filter": {
"must": [
{
"key": "a",
"match": {
"text": "keyword_1"
}
}
]
},
"params": { "exact": False }
}
)
assert not response.ok
assert response.status_code == 500
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
def test_search_batch_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/search/batch',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"searches": [
{
"vector": [0.5] * dims,
"limit": 100000,
"filter": {
"must": [
{
"key": "a",
"match": {
"text": "keyword_1"
}
}
]
},
},
{
"vector": [0.6] * dims,
"limit": 10000,
},
]
}
)
assert not response.ok
assert response.status_code == 500
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
def test_search_groups_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/search/groups',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"vector": [0.5] * dims,
"limit": 100,
"group_by": "a",
"filter": {"must": [{"key": "a", "match": {"value": "keyword_1"}}]},
"group_size": 3,
}
)
assert not response.ok
assert response.status_code == 408
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'GroupBy' timed out after 1 seconds")
def test_recommend_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/recommend',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"positive": [111,222,333,444,555],
"negative": [666,777,888,999,1010],
"limit": 10000,
"strategy": "best_score",
}
)
assert not response.ok
assert response.status_code == 500
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
def test_recommend_batch_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/recommend/batch',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"searches": [
{
"positive": [111,222,333,444,555],
"negative": [666,777,888,999,1010],
"limit": 10000,
"strategy": "best_score",
},
{
"positive": [666,777,888,999,1010],
"negative": [111,222,333,444,555],
"limit": 10000,
"strategy": "best_score",
},
]
}
)
assert not response.ok
assert response.status_code == 500
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")
def test_recommend_groups_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/recommend/groups',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"positive": [111,555],
"negative": [666,1010],
"limit": 100,
"filter": {"must": [{"key": "a", "match": {"value": "keyword_1"}}]},
"group_by": "a",
"group_size": 3,
}
)
assert not response.ok
assert response.status_code == 408
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'GroupBy' timed out after 1 seconds")
def test_discover_timeout(collection_name):
response = request_with_validation(
api='/collections/{collection_name}/points/discover',
method="POST",
path_params={'collection_name': collection_name},
query_params={'timeout': 1},
body={
"target": 111,
"context_pairs": [[666,777],[888,999],[1010, 1111]],
"limit": 100,
}
)
assert not response.ok
assert response.status_code == 500
assert response.json()['status']['error'].__contains__("Timeout error: Operation 'Search' timed out after 1 seconds")