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* Clean up imports * Clean up whitespace * Use drop collection function from helpers * Use parameterized integration tests to test on_disk variations * Promote on_disk_vectors parameter into dedicated fixture * Merge basic retrieve test with parameterization * Flatten functions * Split validation test functions * Don't parameterize on_disk states when testing validation * Parameterize init_from_collection test sequence * Parameterize on_disk_payload in tests with fixture * Parameterize new batch update tests * Fix integration test collection setup distance after incorrect merge
73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
import pytest
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from .helpers.collection_setup import basic_collection_setup, drop_collection
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from .helpers.fixtures import on_disk_vectors
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from .helpers.helpers import request_with_validation
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collection_name = 'test_collection_threshold'
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@pytest.fixture(autouse=True, scope="module")
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def setup(on_disk_vectors):
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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_exact_count_search():
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response = request_with_validation(
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api='/collections/{collection_name}/points/count',
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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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"key": "city",
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"match": {
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"value": "Berlin"
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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 response.json()['result']['count'] == 4
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def test_approx_count_search():
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response = request_with_validation(
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api='/collections/{collection_name}/points/count',
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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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"key": "city",
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"match": {
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"value": "Berlin"
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}
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}
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]
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},
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"exact": False
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}
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)
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assert response.ok
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assert response.json()['result']['count'] < 8
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assert response.json()['result']['count'] > 0
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