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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
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
import pytest
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from .helpers.collection_setup import basic_collection_setup, drop_collection
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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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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_matrix_pairs(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/search/matrix/pairs",
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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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"sample": 10,
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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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search_result = response.json()["result"]
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expected_result = {
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"pairs": [
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{"a": 1, "b": 3, "score": 1.4063001},
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{"a": 1, "b": 4, "score": 1.2531},
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{"a": 2, "b": 1, "score": 1.1550001},
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{"a": 2, "b": 8, "score": 1.1359},
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{"a": 3, "b": 1, "score": 1.4063001},
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{"a": 3, "b": 4, "score": 1.2218001},
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{"a": 4, "b": 1, "score": 1.2531},
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{"a": 4, "b": 3, "score": 1.2218001},
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{"a": 5, "b": 3, "score": 0.70239997},
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{"a": 5, "b": 1, "score": 0.6146},
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{"a": 6, "b": 3, "score": 0.6353},
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{"a": 6, "b": 4, "score": 0.5093},
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{"a": 7, "b": 3, "score": 1.0990001},
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{"a": 7, "b": 1, "score": 1.0349001},
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{"a": 8, "b": 2, "score": 1.1359},
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{"a": 8, "b": 3, "score": 1.0553},
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]
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}
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assert search_result == expected_result
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def test_search_matrix_offsets(collection_name):
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response = request_with_validation(
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api="/collections/{collection_name}/points/search/matrix/offsets",
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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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"sample": 10,
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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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search_result = response.json()["result"]
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expected_result = {
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'offsets_row': [0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7],
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'offsets_col': [2, 3, 0, 7, 0, 3, 0, 2, 2, 0, 2, 3, 2, 0, 1, 2],
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'scores': [1.4063001, 1.2531, 1.1550001, 1.1359, 1.4063001, 1.2218001, 1.2531, 1.2218001, 0.70239997, 0.6146, 0.6353, 0.5093, 1.0990001, 1.0349001, 1.1359, 1.0553],
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'ids': [1, 2, 3, 4, 5, 6, 7, 8]
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}
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assert search_result == expected_result
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