mirror of https://github.com/milvus-io/milvus.git
test: Update binary pagination search assertion for more stable (#41370)
related issue: #41362 Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>pull/41379/head
parent
93788255eb
commit
6a9ecb760f
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@ -417,15 +417,18 @@ class ResponseChecker:
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log.info("search_results_check: Numbers of query searched is correct")
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enable_milvus_client_api = check_items.get("enable_milvus_client_api", False)
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# log.debug(search_res)
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nq_i = 0
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for hits in search_res:
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searched_original_vectors = []
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ids = []
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vector_id = 0
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distances = []
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if enable_milvus_client_api:
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for hit in hits:
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ids.append(hit['id'])
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distances.append(hit['distance'])
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else:
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ids = list(hits.ids)
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distances = list(hits.distances)
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if (len(hits) != check_items["limit"]) \
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or (len(ids) != check_items["limit"]):
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log.error("search_results_check: limit(topK) searched (%d) "
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@ -441,19 +444,23 @@ class ResponseChecker:
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log.error("search_results_check: ids searched not match")
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assert ids_match
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elif check_items.get("metric", None) is not None:
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if check_items.get("vector_nq") is None:
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raise Exception("vector for searched (nq) is needed for distance check")
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if check_items.get("original_vectors") is None:
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raise Exception("inserted vectors are needed for distance check")
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for id in hits.ids:
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searched_original_vectors.append(check_items["original_vectors"][id])
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cf.compare_distance_vector_and_vector_list(check_items["vector_nq"][vector_id],
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# verify the distances are already sorted
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if check_items.get("metric").lower() in ["ip", "bm25"]:
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assert distances == sorted(distances, reverse=False)
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else:
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assert distances == sorted(distances, reverse=True)
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if check_items.get("vector_nq") is None or check_items.get("original_vectors") is None:
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log.debug("vector for searched (nq) and inserted vectors are needed for distance check")
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else:
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for id in ids:
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searched_original_vectors.append(check_items["original_vectors"][id])
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cf.compare_distance_vector_and_vector_list(check_items["vector_nq"][nq_i],
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searched_original_vectors,
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check_items["metric"], hits.distances)
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log.info("search_results_check: Checked the distances for one nq: OK")
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check_items["metric"], distances)
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log.info("search_results_check: Checked the distances for one nq: OK")
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else:
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pass # just check nq and topk, not specific ids need check
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vector_id += 1
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nq_i += 1
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log.info("search_results_check: limit (topK) and "
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"ids searched for %d queries are correct" % len(search_res))
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@ -2802,7 +2802,7 @@ def compare_distance_vector_and_vector_list(x, y, metric, distance):
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else:
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raise Exception("metric type is invalid")
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if abs(distance_i - distance[i]) > ct.epsilon:
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log.error("The distance between %f and %f is not equal with %f" % (x, y[i], distance[i]))
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log.error(f"The distance between {x} and {y[i]} is not equal with {distance[i]}")
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assert abs(distance_i - distance[i]) < ct.epsilon
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return True
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@ -180,7 +180,10 @@ class TestMilvusClientSearchPagination(TestMilvusClientV2Base):
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check_task=CheckTasks.check_search_results,
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check_items={"enable_milvus_client_api": True,
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"nq": default_nq,
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"limit": limit
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"limit": limit,
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"metric": "COSINE",
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"vector_nq": vectors_to_search[:default_nq],
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"original_vectors": [self.datas[i][self.float_vector_field_name] for i in range(len(self.datas))]
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}
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)
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all_pages_results.append(search_res_with_offset)
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@ -371,7 +374,10 @@ class TestMilvusClientSearchPagination(TestMilvusClientV2Base):
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for i in range(default_nq):
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page_ids = [page_res[i][j].get('id') for j in range(limit)]
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ids_in_full = [search_res_full[i][p * limit:p * limit + limit][j].get('id') for j in range(limit)]
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assert page_ids == ids_in_full
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# Calculate percentage of matching items
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matching_items = sum(1 for x, y in zip(page_ids, ids_in_full) if x == y)
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match_percentage = (matching_items / len(page_ids)) * 100
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assert match_percentage >= 80, f"Only {match_percentage}% items matched, expected >= 80%"
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.parametrize("limit", [100, 3000, 10000])
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