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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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提交
1bb5ef02
编写于
2月 22, 2022
作者:
J
jingkl
提交者:
GitHub
2月 22, 2022
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差异文件
[test] Modify the insert testcase (#15693)
Signed-off-by:
N
jingkl
<
jingjing.jia@zilliz.com
>
上级
d5e57f18
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
7 addition
and
38 deletion
+7
-38
tests/python_client/testcases/test_insert.py
tests/python_client/testcases/test_insert.py
+7
-38
未找到文件。
tests/python_client/testcases/test_insert.py
浏览文件 @
1bb5ef02
...
...
@@ -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
)
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