[skip ci] interface name changed. (#5595)

Signed-off-by: Binbin Lv <binbin.lv@zilliz.com>
pull/5606/head
binbin 2021-06-04 14:23:35 +08:00 committed by GitHub
parent afa5da7df0
commit 4aefdaeabe
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1 changed files with 43 additions and 24 deletions

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@ -22,7 +22,7 @@ epsilon = ct.epsilon
CaseLabel = ct.CaseLabel
class TestCollectionSearch(ApiReq):
""" Test case of search interface """
""" Test case of collection search interface """
def init_data(self, insert_data=False, nb=3000, partition_num=0, multiple=False, is_binary=False):
'''
@ -41,13 +41,15 @@ class TestCollectionSearch(ApiReq):
default_schema = cf.gen_default_collection_schema()
else:
default_schema = cf.gen_default_binary_collection_schema()
collection, _ = self.collection.collection_init(default_collection_name, data=None, schema=default_schema)
collection, _ = self.collection_wrap.collection_init(default_collection_name,
data=None, schema=default_schema)
# 2 add extra partition if specified (default is 1 partition named "_default")
if partition_num > 0:
log.info("init_data: creating partitions")
for i in range(partition_num):
partition_name = "search_partition_" + str(i)
collection.create_partition(partition_name=partition_name, description="search partition")
collection.create_partition(partition_name=partition_name,
description="search partition")
par = collection.partitions
assert len(par) == (partition_num + 1)
log.info("init_data: created partitions %s" % par)
@ -55,18 +57,21 @@ class TestCollectionSearch(ApiReq):
if insert_data:
vectors = []
raw_vectors = []
log.info("init_data: inserting default data into collection %s (num_entities: %s)" % (collection.name, nb))
log.info("init_data: inserting default data into collection %s (num_entities: %s)"
% (collection.name, nb))
if partition_num > 0:
num = partition_num + 1
for i in range(num):
if not is_binary:
vectors_num = [[random.random() for _ in range(default_dim)] for _ in range(nb // num)]
vectors_num = [[random.random() for _ in range(default_dim)]
for _ in range(nb // num)]
vectors += vectors_num
collection.insert(
[[i for i in range(nb // num)], [np.float32(i) for i in range(nb // num)], vectors_num],
par[i].name)
else:
default_binary_data, binary_raw_data = cf.gen_default_binary_dataframe_data(nb // num)
default_binary_data, binary_raw_data = \
cf.gen_default_binary_dataframe_data(nb // num)
collection.insert(default_binary_data, par[i].name)
vectors += default_binary_data
raw_vectors += binary_raw_data
@ -81,7 +86,8 @@ class TestCollectionSearch(ApiReq):
collection.load()
assert collection.is_empty == False
assert collection.num_entities == nb
log.info("init_data: inserted default data into collection %s (num_entities: %s)" % (collection.name, collection.num_entities))
log.info("init_data: inserted default data into collection %s (num_entities: %s)"
% (collection.name, collection.num_entities))
if not is_binary:
return collection, vectors
else:
@ -116,14 +122,14 @@ class TestCollectionSearch(ApiReq):
self._connect()
# 2. delete all the collections test search cases created before
log.info("clear_env: clearing env")
res_list, _ = self.utility.list_collections()
res_list, _ = self.utility_wrap.list_collections()
count = 0
for res in res_list:
collection = self.collection.collection_init(name=res)
collection, _ = self.collection_wrap.collection_init(name=res)
if "search_collection" in res:
self.clear_data(collection)
count = count + 1
res_list_new, _ = self.utility.list_collections()
res_list_new, _ = self.utility_wrap.list_collections()
for res in res_list_new:
assert not ("search_collection" in res)
log.info("clear_env: cleared env (deleted %s search collections)" % count)
@ -155,7 +161,7 @@ class TestCollectionSearch(ApiReq):
log.info("test_search_no_connection: searched collection %s" % collection.name)
# 3. remove connection
log.info("test_search_no_connection: removing connection")
self.connection.remove_connection(alias='default')
self.connection_wrap.remove_connection(alias='default')
log.info("test_search_no_connection: removed connection")
# 4. search without connection
log.info("test_search_no_connection: searching without connection")
@ -194,7 +200,8 @@ class TestCollectionSearch(ApiReq):
log.info("test_search_with_empty_collection: Searching empty collection %s" % collection.name)
vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nq)]
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], "float_vector", default_search_params, default_limit, default_search_exp)
collection.search(vectors[:default_nq], "float_vector", default_search_params, default_limit,
default_search_exp)
assert "collection hasn't been loaded or has been released" in str(e.value)
log.info("test_search_with_empty_collection: test PASS with expected assertion: %s" % e.value)
@ -233,7 +240,8 @@ class TestCollectionSearch(ApiReq):
wrong_dim = 129
vectors = [[random.random() for _ in range(wrong_dim)] for _ in range(default_nq)]
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], default_search_field, default_search_params, default_limit, default_search_exp)
collection.search(vectors[:default_nq], default_search_field, default_search_params, default_limit,
default_search_exp)
assert "UnexpectedError" in str(e.value)
log.info("test_search_param_invalid_dim: test PASS with expected assertion: %s" % e.value)
@ -247,7 +255,8 @@ class TestCollectionSearch(ApiReq):
vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nq)]
search_params = {"metric_type": "L10", "params": {"nprobe": 10}}
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], default_search_field, search_params, default_limit, default_search_exp)
collection.search(vectors[:default_nq], default_search_field, search_params, default_limit,
default_search_exp)
assert "metric type not found" in str(e.value)
log.info("test_search_param_invalid_metric_type: test PASS with expected assertion: %s" % e.value)
@ -262,13 +271,15 @@ class TestCollectionSearch(ApiReq):
vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nq)]
log.info("test_search_param_invalid_limit: searching with invalid limit (topK) = %s" % limit)
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], default_search_field, default_search_params, limit, default_search_exp)
collection.search(vectors[:default_nq], default_search_field, default_search_params, limit,
default_search_exp)
assert "division by zero" in str(e.value)
log.info("test_search_param_invalid_limit: test PASS with expected assertion: %s" % e.value)
limit = 16385
log.info("test_search_param_invalid_limit: searching with invalid max limit (topK) = %s" % limit)
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], default_search_field, default_search_params, limit, default_search_exp)
collection.search(vectors[:default_nq], default_search_field, default_search_params, limit,
default_search_exp)
assert "limit" and "too large" in str(e.value)
log.info("test_search_param_invalid_limit: test PASS with expected assertion: %s" % e.value)
@ -288,7 +299,8 @@ class TestCollectionSearch(ApiReq):
log.info("test_search_param_invalid_field: searching with invalid field")
invalid_search_field = "floatvector"
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], invalid_search_field, default_search_params, default_limit, default_search_exp)
collection.search(vectors[:default_nq], invalid_search_field, default_search_params, default_limit,
default_search_exp)
assert "invalid expression" in str(e.value)
log.info("test_search_param_invalid_field: test PASS with expected assertion: %s" % e.value)
@ -307,7 +319,8 @@ class TestCollectionSearch(ApiReq):
log.info("test_search_param_invalid_expr: test PASS with expected assertion: %s" % e.value)
log.info("test_search_param_invalid_expr: searching with invalid expr")
with pytest.raises(Exception) as e:
collection.search(vectors[:default_nq], default_search_field, default_search_params, default_limit, "int63 >= 0")
collection.search(vectors[:default_nq], default_search_field, default_search_params, default_limit,
"int63 >= 0")
assert "invalid expression" in str(e.value)
log.info("test_search_param_invalid_expr: test PASS with expected assertion: %s" % e.value)
@ -346,7 +359,8 @@ class TestCollectionSearch(ApiReq):
_, binary_vectors = cf.gen_binary_vectors(3000, default_dim)
wrong_search_params = {"metric_type": "L2", "params": {"nprobe": 10}}
with pytest.raises(Exception) as e:
collection.search(binary_vectors[:nq], "binary_vector", wrong_search_params, default_limit, default_search_exp)
collection.search(binary_vectors[:nq], "binary_vector", wrong_search_params, default_limit,
default_search_exp)
assert "unsupported" in str(e.value)
log.info("test_search_param_invalid_value: test PASS with expected assertion: %s" % e.value)
"""
@ -448,7 +462,8 @@ class TestCollectionSearch(ApiReq):
limit = 1
vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nq)]
for _ in range(N):
res = collection.search(vectors[:default_nq], "float_vector", default_search_params, limit, default_search_exp)
res = collection.search(vectors[:default_nq], "float_vector", default_search_params, limit,
default_search_exp)
log.info("test_search_collection_multiple_times: Searched results length: %s" % len(res))
assert len(res) == default_nq
for hits in res:
@ -546,7 +561,8 @@ class TestCollectionSearch(ApiReq):
distance_1 = cf.jaccard(query_raw_vector[0], binary_raw_vector[1])
# 4. search and compare the distance
search_params = {"metric_type": "JACCARD", "params": {"nprobe": 10}}
res = collection.search(binary_vectors[:default_nq], "binary_vector", search_params, default_limit, "int64 >= 0")
res = collection.search(binary_vectors[:default_nq], "binary_vector", search_params, default_limit,
"int64 >= 0")
assert abs(res[0]._distances[0] - min(distance_0, distance_1)) <= epsilon
@pytest.mark.tags(CaseLabel.L3)
@ -621,14 +637,16 @@ class TestCollectionSearch(ApiReq):
expected: search status ok, the length of result
'''
log.info("Test case of search interface: test_search_multi_collections")
self._connect()
connection_num = 10
for _ in range(connection_num):
for i in range(connection_num):
# 1. initialize with data
log.info("test_search_multi_collections: search round %d" % i)
collection, _ = self.init_data(insert_data=True, multiple=True)
# 2. search
vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nq)]
log.info("test_search_multi_collections: searching %s entities (nq = %s) from collection %s" % (
default_limit, default_nq, collection.name))
log.info("test_search_multi_collections: searching %s entities (nq = %s) from collection %s" %
(default_limit, default_nq, collection.name))
res = collection.search(vectors[:default_nq], default_search_field, default_search_params,
default_limit, default_search_exp)
assert len(res) == default_nq
@ -636,6 +654,7 @@ class TestCollectionSearch(ApiReq):
assert len(hits) == default_limit
assert len(hits.ids) == default_limit
log.info("test_search_multi_collections: searched %s collections" % connection_num)
self.clear_env()
@pytest.mark.tags(CaseLabel.L3)
@pytest.mark.timeout(300)