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Update pymilvus version (#20814)

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Signed-off-by: Binbin Lv <binbin.lv@zilliz.com>

Signed-off-by: Binbin Lv <binbin.lv@zilliz.com>
This commit is contained in:
binbin 2022-12-01 20:13:19 +08:00 committed by GitHub
parent b4115c65ff
commit 5cd33cb5cb
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2 changed files with 8 additions and 8 deletions
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2
tests/python_client/requirements.txt
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@ -12,7 +12,7 @@ allure-pytest==2.7.0
pytest-print==0.2.1
pytest-level==0.1.1
pytest-xdist==2.5.0
pymilvus==2.2.0.dev71
pymilvus==2.2.1.dev3
pytest-rerunfailures==9.1.1
git+https://github.com/Projectplace/pytest-tags
ndg-httpsclient

14
tests/python_client/testcases/test_insert.py
View File

@ -686,7 +686,7 @@ class TestInsertOperation(TestcaseBase):
schema = cf.gen_default_collection_schema(auto_id=True)
collection_w = self.init_collection_wrap(name=c_name, schema=schema)
df = cf.gen_default_dataframe_data(nb=100)
error = {ct.err_code: 0, ct.err_msg: 'Auto_id is True, primary field should not have data'}
error = {ct.err_code: 1, ct.err_msg: 'Please don\'t provide data for auto_id primary field: int64'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
assert collection_w.is_empty
@ -1058,7 +1058,7 @@ class TestInsertInvalidBinary(TestcaseBase):
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."}
error = {ct.err_code: 1, ct.err_msg: "data should be a list of list"}
mutation_res, _ = collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
@ -1132,7 +1132,7 @@ class TestInsertString(TestcaseBase):
df = cf.gen_default_dataframe_data(nb)
new_float_value = pd.Series(data=[float(i) for i in range(nb)], dtype="float64")
df.iloc[:, 2] = new_float_value
error = {ct.err_code: 0, ct.err_msg: 'The types of schema and data do not match'}
error = {ct.err_code: 1, ct.err_msg: 'The data type of field varchar doesn\'t match, expected: VARCHAR, got DOUBLE'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L0)
@ -1146,7 +1146,7 @@ class TestInsertString(TestcaseBase):
c_name = cf.gen_unique_str(prefix)
collection_w = self.init_collection_wrap(name=c_name)
df = [cf.gen_int64_field(), cf.gen_string_field(name=ct.get_invalid_strs), cf.gen_float_vec_field()]
error = {ct.err_code: 0, ct.err_msg: 'Data type is not support.'}
error = {ct.err_code: 1, ct.err_msg: 'data should be a list of list'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L0)
@ -1165,7 +1165,7 @@ class TestInsertString(TestcaseBase):
field_three = cf.gen_string_field(max_length=nums)
vec_field = cf.gen_float_vec_field()
df = [field_one, field_two, field_three, vec_field]
error = {ct.err_code: 0, ct.err_msg: 'Data type is not support.'}
error = {ct.err_code: 1, ct.err_msg: 'data should be a list of list'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L1)
@ -1182,7 +1182,7 @@ class TestInsertString(TestcaseBase):
int_field = cf.gen_int64_field(is_primary=True)
vec_field = cf.gen_float_vec_field()
df = [string_field, int_field, vec_field]
error = {ct.err_code: 0, ct.err_msg: 'Data type is not support.'}
error = {ct.err_code: 1, ct.err_msg: 'data should be a list of list'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L1)
@ -1199,7 +1199,7 @@ class TestInsertString(TestcaseBase):
vec_field = cf.gen_float_vec_field()
string_field = cf.gen_string_field(is_primary=True, auto_id=True)
df = [int_field, string_field, vec_field]
error = {ct.err_code: 0, ct.err_msg: 'Data type is not support.'}
error = {ct.err_code: 1, ct.err_msg: 'data should be a list of list'}
collection_w.insert(data=df, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L1)