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96a5a2bce8
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
267 lines
8.3 KiB
Python
267 lines
8.3 KiB
Python
import pytest
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from .helpers.collection_setup import drop_collection, multivec_collection_setup
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from .helpers.helpers import request_with_validation
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@pytest.fixture(autouse=True, scope="module")
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def setup(on_disk_vectors, collection_name):
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multivec_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
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yield
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drop_collection(collection_name=collection_name)
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def test_points_retrieve(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points/{id}',
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method="GET",
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path_params={'collection_name': collection_name, 'id': 2},
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)
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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points',
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method="POST",
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path_params={'collection_name': collection_name},
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body={
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"ids": [1, 2]
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}
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)
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assert response.ok
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assert len(response.json()['result']) == 2
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response = request_with_validation(
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api='/collections/{collection_name}',
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method="GET",
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path_params={'collection_name': collection_name},
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)
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assert response.ok
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assert response.json()['result']['points_count'] == 8
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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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body={
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"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
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"limit": 3
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}
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)
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assert response.ok
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assert len(response.json()['result']) == 3
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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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body={
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"vector": {
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"name": "sparse-image",
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"vector": {
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"indices": [2, 8],
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"values": [0.2, 0.3]
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}
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},
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"limit": 2
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}
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)
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assert response.ok
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assert len(response.json()['result']) == 2
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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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body={
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"filter": {
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"should": [
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{
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"key": "city",
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"match": {
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"value": "London"
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}
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}
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]
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},
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"vector": {
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"name": "text",
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"vector": [0.2, 0.1, 0.9, 0.7, 0.2, 0.1, 0.9, 0.7]
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},
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"limit": 3
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}
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)
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assert response.ok
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assert len(response.json()['result']) == 2 # only 2 London records in collection
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response = request_with_validation(
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api='/collections/{collection_name}/points/scroll',
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method="POST",
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path_params={'collection_name': collection_name},
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body={"offset": 2, "limit": 2, "with_vector": True}
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)
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assert response.ok
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assert len(response.json()['result']['points']) == 2
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for point in response.json()['result']['points']:
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assert point['vector'] is not None
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assert len(point['vector']['text']) == 8
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assert len(point['vector']['image']) == 4
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response = request_with_validation(
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api='/collections/{collection_name}/points/scroll',
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method="POST",
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path_params={'collection_name': collection_name},
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body={"offset": 7, "limit": 2, "with_vector": True}
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)
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assert response.ok
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assert len(response.json()['result']['points']) == 2
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for point in response.json()['result']['points']:
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assert point['vector'] is not None
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assert len(point['vector']['sparse-text']) == 2
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assert len(point['vector']['sparse-image']) == 2
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def test_retrieve_invalid_vector(collection_name):
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# Retrieve nonexistent vector name
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response = request_with_validation(
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api='/collections/{collection_name}/points',
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method="POST",
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path_params={'collection_name': collection_name},
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body={
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"ids": [1, 2, 3, 4],
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"with_vectors": ["text", "image", "i_do_no_exist"],
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"with_payload": True,
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}
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)
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assert not response.ok
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assert response.status_code == 400
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error = response.json()["status"]["error"]
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assert error == "Wrong input: Not existing vector name error: i_do_no_exist"
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def test_exclude_payload(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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body={
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"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
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"limit": 5,
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"filter": {
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"should": [
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{
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"key": "city",
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"match": {
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"value": "London"
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}
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}
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]
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},
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"with_payload": {
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"exclude": ["city"]
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}
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}
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)
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assert response.ok
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assert len(response.json()['result']) > 0
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for result in response.json()['result']:
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assert 'city' not in result['payload']
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def test_is_empty_condition(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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body={
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"vector": {"name": "image", "vector": [0.2, 0.1, 0.9, 0.7]},
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"limit": 5,
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"filter": {
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"should": [
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{
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"is_empty": {
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"key": "city"
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}
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}
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]
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},
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"with_payload": True
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}
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)
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assert len(response.json()['result']) == 2
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for result in response.json()['result']:
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assert "city" not in result['payload']
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assert response.ok
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def test_recommendation(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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body={
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"limit": 3,
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"negative": [],
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"positive": [1],
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"with_vector": False,
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"with_payload": True,
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"using": "image"
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}
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)
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assert len(response.json()['result']) == 3
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assert response.json()['result'][0]['payload'] is not None
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assert response.ok
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def test_query_nested(collection_name):
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response = request_with_validation(
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api='/collections/{collection_name}/points',
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method="PUT",
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path_params={'collection_name': collection_name},
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query_params={'wait': 'true'},
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body={
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"points": [
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{
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"id": 8,
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"vector": {
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"image": [0.15, 0.31, 0.76, 0.74],
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"text": [0.15, 0.31, 0.76, 0.74, 0.15, 0.31, 0.76, 0.74]
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},
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"payload": {
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"database_id": {
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"type": "keyword",
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"value": "8594ff5d-265f-4785-a9f5-b3b4b9665506"
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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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assert response.ok
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response = request_with_validation(
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api='/collections/{collection_name}/points/scroll',
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method="POST",
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path_params={'collection_name': collection_name},
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body={
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"offset": None,
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"limit": 10,
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"with_vector": ["text"],
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"filter": {
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"must": [
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{
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"key": "database_id.value",
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"match": {
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"value": "8594ff5d-265f-4785-a9f5-b3b4b9665506"
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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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assert response.ok
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assert len(response.json()['result']['points']) == 1
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assert 'text' in response.json()['result']['points'][0]['vector']
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assert len(response.json()['result']['points'][0]['vector']) == 1
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