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9d67c6325b
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
87 lines
2.6 KiB
Python
87 lines
2.6 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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@pytest.fixture(autouse=True)
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def setup(collection_name):
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sparse_collection_setup(collection_name=collection_name)
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yield
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drop_collection(collection_name=collection_name)
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def sparse_collection_setup(collection_name='test_collection'):
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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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"sparse_vectors": {
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"text": {}
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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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def test_sparse_vector_persisted_sorted(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": 1,
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"vector": {
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"text": {"indices": [3, 2, 1], "values": [0.3, 0.2, 0.1]}
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}
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},
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{
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"id": 2,
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"vector": {
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"text": {"indices": [1, 3, 2], "values": [0.1, 0.3, 0.2]}
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}
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},
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{
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"id": 3,
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"vector": {
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"text": {"indices": [1, 2, 3], "values": [0.1, 0.2, 0.3]}
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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={"limit": 10, "with_vector": True}
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)
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assert response.ok
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assert len(response.json()['result']['points']) == 3
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results = response.json()['result']['points']
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for i in range(3):
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assert results[i]['id'] == i + 1
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assert results[i]['vector']['text']['indices'] == [1, 2, 3] # sorted by indices
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assert results[i]['vector']['text']['values'] == [0.1, 0.2, 0.3] # aligned to respective indices
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