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[test] Modify the insert testcase (#15693)

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Signed-off-by: jingkl <jingjing.jia@zilliz.com>
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jingkl 2022-02-22 19:59:52 +08:00 committed by GitHub
parent d5e57f183e
commit 1bb5ef0236
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1 changed files with 7 additions and 38 deletions
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45
tests/python_client/testcases/test_insert.py
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@ -1054,9 +1054,9 @@ class TestInsertInvalid(TestcaseBase):
collection_w = self.init_collection_wrap(name=collection_name)
field_one = cf.gen_int64_field(is_primary=True)
field_two = cf.gen_int64_field()
vec_field = ct.get_invalid_vectors
vec_field = ct.get_invalid_vectors
df = cf.gen_collection_schema(fields=[field_one, field_two, vec_field])
error={ct.err_code: 1, 'err_msg': "is illegal"}
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)
class TestInsertInvalidBinary(TestcaseBase):
@ -1075,12 +1075,12 @@ class TestInsertInvalidBinary(TestcaseBase):
"""
collection_name = cf.gen_unique_str(prefix)
collection_w = self.init_collection_wrap(name=collection_name)
field_one = cf.gen_float_field(is_primary=True, auto_id=False)
field_one = cf.gen_float_field(is_primary=True)
field_two = cf.gen_float_field()
vec_field = cf.gen_float_vec_field()
vec_field = cf.gen_float_vec_field()
df = cf.gen_default_binary_collection_schema(fields=[field_one, field_two, vec_field])
error = {ct.err_code: 0, ct.err_msg: "is error."}
mutation_res, _ =collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
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)
@pytest.mark.tags(CaseLabel.L2)
def test_insert_with_invalid_binary_partition_name(self):
@ -1093,39 +1093,8 @@ class TestInsertInvalidBinary(TestcaseBase):
collection_w = self.init_collection_wrap(name=collection_name)
partition_name = ct.get_invalid_strs
df, _ = cf.gen_default_binary_dataframe_data(ct.default_nb)
error={ct.err_code: 1, 'err_msg': "The types of schema and data do not match."}
error = {ct.err_code: 1, 'err_msg': "The types of schema and data do not match."}
mutation_res, _ = collection_w.insert(data=df, partition_name=partition_name, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
def test_insert_with_invalid_binary_field_type(self):
"""
target: test insert with invalid field
method: insert with invalid field type
expected: raise exception
"""
collection_name = cf.gen_unique_str(prefix)
collection_w = self.init_collection_wrap(name=collection_name)
vec_field, _ = self.field_schema_wrap.init_field_schema(name=ct.default_int64_field_name, dtype=DataType.NONE, is_primary=True)
field_one = cf.gen_int64_field(is_primary=True)
field_two = cf.gen_int64_field()
df = [field_one, field_two, vec_field]
error={ct.err_code: 1, 'err_msg': "Data type is not support."}
mutation_res, _ = collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
def test_insert_with_invalid_binary_field_value(self):
"""
target: test insert with invalid field
method: insert with invalid field value
expected: raise exception
"""
collection_name = cf.gen_unique_str(prefix)
collection_w = self.init_collection_wrap(name=collection_name)
field_one = cf.gen_int64_field(is_primary=True)
field_two = cf.gen_int64_field()
vec_field = ct.get_invalid_vectors
df = [field_one, field_two, vec_field]
error={ct.err_code: 1, 'err_msg': "Data type is not support."}
mutation_res, _ = collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)