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[test] Modify the insert testcase (#15706)

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Signed-off-by: jingkl <jingjing.jia@zilliz.com>
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jingkl 2022-02-24 09:03:52 +08:00 committed by GitHub
parent 8f06165c06
commit c4bd942543
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1 changed files with 5 additions and 5 deletions
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10
tests/python_client/testcases/test_insert.py
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@ -1043,7 +1043,7 @@ class TestInsertInvalid(TestcaseBase):
error={ct.err_code: 1, 'err_msg': "partition name is illegal"}
mutation_res, _ = collection_w.insert(data=df, partition_name="p", check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_with_invalid_field_value(self):
"""
target: test insert with invalid field
@ -1055,7 +1055,7 @@ class TestInsertInvalid(TestcaseBase):
field_one = cf.gen_int64_field(is_primary=True)
field_two = cf.gen_int64_field()
vec_field = ct.get_invalid_vectors
df = cf.gen_collection_schema(fields=[field_one, field_two, vec_field])
df =[field_one, field_two, vec_field]
error = {ct.err_code: 0, ct.err_msg: "The field of schema type must be FieldSchema."}
mutation_res, _ = collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@ -1066,7 +1066,7 @@ class TestInsertInvalidBinary(TestcaseBase):
******************************************************************
"""
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.tags(CaseLabel.L1)
def test_insert_ids_binary_invalid(self):
"""
target: test insert, with using customize ids, which are not int64
@ -1077,8 +1077,8 @@ class TestInsertInvalidBinary(TestcaseBase):
collection_w = self.init_collection_wrap(name=collection_name)
field_one = cf.gen_float_field(is_primary=True)
field_two = cf.gen_float_field()
vec_field = cf.gen_float_vec_field()
df = cf.gen_default_binary_collection_schema(fields=[field_one, field_two, vec_field])
vec_field, _ = self.field_schema_wrap.init_field_schema(name=ct.default_binary_vec_field_name, dtype=DataType.BINARY_VECTOR)
df = [field_one, field_two, vec_field]
error = {ct.err_code: 0, ct.err_msg: "Data type is not support."}
mutation_res, _ = collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)