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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
112 lines
3.2 KiB
Python
112 lines
3.2 KiB
Python
import pytest
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from .helpers.collection_setup import drop_collection
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from .helpers.helpers import request_with_validation
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def basic_collection_setup(
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collection_name='test_collection',
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on_disk_vectors=False,
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):
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response = request_with_validation(
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api='/collections/{collection_name}',
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method="DELETE",
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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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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": 2,
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"distance": "Manhattan",
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"on_disk": on_disk_vectors,
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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}',
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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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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": 1,
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"vector": [0.0, 0.0],
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"payload": {"city": "Berlin"}
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},
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{
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"id": 2,
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"vector": [0.0, 1.0],
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"payload": {"city": ["Berlin", "London"]}
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},
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{
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"id": 3,
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"vector": [-1., -1.],
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"payload": {"city": ["Berlin", "Moscow"]}
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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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@pytest.fixture(autouse=True, scope="module")
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def setup(on_disk_vectors, collection_name):
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basic_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_search_with_threshold(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": [1., 1.],
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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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assert response.json()['result'][0]['id'] == 2
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assert response.json()['result'][1]['id'] == 1
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assert response.json()['result'][2]['id'] == 3
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assert response.json()['result'][0]['score'] - 1.0 < 0.0001
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assert response.json()['result'][1]['score'] - 2.0 < 0.0001
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assert response.json()['result'][2]['score'] - 4.0 < 0.0001
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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": [1., 1.],
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"limit": 3,
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"score_threshold": 1.5
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}
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)
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assert response.ok
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assert len(response.json()['result']) == 1
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assert response.json()['result'][0]['id'] == 2
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assert response.json()['result'][0]['score'] - 1.0 < 0.0001
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