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Modify nightly test cases (#27517)

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Signed-off-by: zilliz <zilliz@zillizdeMacBook-Pro.local>
Co-authored-by: zilliz <zilliz@zillizdeMacBook-Pro.local>
This commit is contained in:
nico 2023-10-10 11:53:34 +08:00 committed by GitHub
parent 2d58691126
commit f9137d880b
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2 changed files with 19 additions and 14 deletions
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2
tests/python_client/testcases/test_insert.py
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@ -2151,7 +2151,7 @@ class TestUpsertInvalid(TestcaseBase):
collection_w = self.init_collection_wrap(name=c_name)
data = cf.gen_default_dataframe_data(nb=2)
partition_name = "partition1"
error = {ct.err_code: 1, ct.err_msg: "partition is not exist: partition1"}
error = {ct.err_code: 15, ct.err_msg: f"partition={partition_name}: partition not found"}
collection_w.upsert(data=data, partition_name=partition_name,
check_task=CheckTasks.err_res, check_items=error)

31
tests/python_client/testcases/test_search.py
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@ -7250,28 +7250,33 @@ class TestCollectionRangeSearch(TestcaseBase):
is_index=False)[0:4]
# 2. create index
index_param = {"index_type": "IVF_FLAT",
"metric_type": "L2", "params": {"nlist": 100}}
index_param = {"index_type": "IVF_FLAT", "metric_type": "L2", "params": {"nlist": 100}}
collection_w.create_index("float_vector", index_param)
collection_w.load()
# 3. search with expression
expression = f"0 < {default_int64_field_name} < 5001"
log.info(
"test_search_with_expression: searching with expression: %s" % expression)
log.info("test_search_with_expression: searching with expression: %s" % expression)
nums = 5000
vectors = [[random.random() for _ in range(dim)] for _ in range(nums)]
range_search_params = {"metric_type": "L2", "params": {"radius": 1000,
"range_filter": 0}}
# calculate the distance to make sure in range(0, 1000)
search_params = {"metric_type": "L2"}
search_res, _ = collection_w.search(vectors, default_search_field,
range_search_params, default_limit, expression,
check_task=CheckTasks.check_search_results,
check_items={
"nq": nums,
"ids": insert_ids,
"limit": default_limit,
})
search_params, 500, expression)
for i in range(nums):
if len(search_res[i]) < 10:
assert False
for j in range(len(search_res[i])):
if search_res[i][j].distance < 0 or search_res[i][j].distance >= 1000:
assert False
# range search
range_search_params = {"metric_type": "L2", "params": {"radius": 1000, "range_filter": 0}}
search_res, _ = collection_w.search(vectors, default_search_field,
range_search_params, default_limit, expression)
for i in range(nums):
log.info(i)
assert len(search_res[i]) == default_limit
@pytest.mark.tags(CaseLabel.L2)
def test_range_search_with_consistency_bounded(self, nq, dim, auto_id, _async):