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