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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
84 lines
2.3 KiB
Python
84 lines
2.3 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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"sparse-text": {
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"index": {
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"on_disk": False,
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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}',
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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_config_update(collection_name):
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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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result = response.json()["result"]
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config = result["config"]
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assert not config["params"]["sparse_vectors"]["sparse-text"]["index"]["on_disk"]
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response = request_with_validation(
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api='/collections/{collection_name}',
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method="PATCH",
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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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"sparse-text": {
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"index": {
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"on_disk": True,
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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}',
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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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result = response.json()["result"]
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config = result["config"]
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assert config["params"]["sparse_vectors"]["sparse-text"]["index"]["on_disk"]
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