mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-04 21:09:06 +08:00
1305 lines
57 KiB
Python
1305 lines
57 KiB
Python
import threading
|
|
|
|
import pytest
|
|
from base.client_base import TestcaseBase
|
|
from base.utility_wrapper import ApiUtilityWrapper
|
|
from utils.util_log import test_log as log
|
|
from common import common_func as cf
|
|
from common import common_type as ct
|
|
from common.common_type import CaseLabel, CheckTasks
|
|
|
|
prefix = "utility"
|
|
default_schema = cf.gen_default_collection_schema()
|
|
default_int64_field_name = ct.default_int64_field_name
|
|
default_field_name = ct.default_float_vec_field_name
|
|
default_index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 64}}
|
|
default_dim = ct.default_dim
|
|
default_nb = ct.default_nb
|
|
num_loaded_entities = "num_loaded_entities"
|
|
num_total_entities = "num_total_entities"
|
|
|
|
|
|
class TestUtilityParams(TestcaseBase):
|
|
""" Test case of index interface """
|
|
|
|
@pytest.fixture(scope="function", params=ct.get_invalid_strs)
|
|
def get_invalid_metric_type(self, request):
|
|
if request.param == [] or request.param == "":
|
|
pytest.skip("metric empty is valid for distance calculation")
|
|
if isinstance(request.param, str):
|
|
pytest.skip("string is valid type for metric")
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=ct.get_invalid_strs)
|
|
def get_invalid_metric_value(self, request):
|
|
if request.param == [] or request.param == "":
|
|
pytest.skip("metric empty is valid for distance calculation")
|
|
if not isinstance(request.param, str):
|
|
pytest.skip("Skip invalid type for metric")
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["JACCARD", "Superstructure", "Substructure"])
|
|
def get_not_support_metric(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["metric_type", "metric"])
|
|
def get_support_metric_field(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=ct.get_invalid_strs)
|
|
def get_invalid_partition_names(self, request):
|
|
if isinstance(request.param, list):
|
|
if len(request.param) == 0:
|
|
pytest.skip("empty is valid for partition")
|
|
if request.param is None:
|
|
pytest.skip("None is valid for partition")
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The followings are invalid cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_collection_name_invalid(self, get_invalid_collection_name):
|
|
"""
|
|
target: test has_collection with error collection name
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = get_invalid_collection_name
|
|
if isinstance(c_name, str) and c_name:
|
|
self.utility_wrap.has_collection(
|
|
c_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "Invalid collection name"})
|
|
# elif not isinstance(c_name, str):
|
|
# self.utility_wrap.has_collection(c_name, check_task=CheckTasks.err_res, check_items={ct.err_code: 1, ct.err_msg: "illegal"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_partition_collection_name_invalid(self, get_invalid_collection_name):
|
|
"""
|
|
target: test has_partition with error collection name
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = get_invalid_collection_name
|
|
p_name = cf.gen_unique_str(prefix)
|
|
if isinstance(c_name, str) and c_name:
|
|
self.utility_wrap.has_partition(
|
|
c_name, p_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "Invalid"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_partition_name_invalid(self, get_invalid_partition_name):
|
|
"""
|
|
target: test has_partition with error partition name
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
ut = ApiUtilityWrapper()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
p_name = get_invalid_partition_name
|
|
if isinstance(p_name, str) and p_name:
|
|
ex, _ = ut.has_partition(
|
|
c_name, p_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "Invalid"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_drop_collection_name_invalid(self, get_invalid_collection_name):
|
|
self._connect()
|
|
error = f'`collection_name` value {get_invalid_collection_name} is illegal'
|
|
self.utility_wrap.drop_collection(get_invalid_collection_name, check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: error})
|
|
|
|
# TODO: enable
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_list_collections_using_invalid(self):
|
|
"""
|
|
target: test list_collections with invalid using
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
using = "empty"
|
|
ut = ApiUtilityWrapper()
|
|
ex, _ = ut.list_collections(using=using, check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 0, ct.err_msg: "should create connect"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_invalid_name(self, get_invalid_collection_name):
|
|
"""
|
|
target: test building_process
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
pass
|
|
# self._connect()
|
|
# c_name = get_invalid_collection_name
|
|
# ut = ApiUtilityWrapper()
|
|
# if isinstance(c_name, str) and c_name:
|
|
# ex, _ = ut.index_building_progress(c_name, check_items={ct.err_code: 1, ct.err_msg: "Invalid collection name"})
|
|
|
|
# TODO: not support index name
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def _test_index_process_invalid_index_name(self, get_invalid_index_name):
|
|
"""
|
|
target: test building_process
|
|
method: input invalid index name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
index_name = get_invalid_index_name
|
|
ut = ApiUtilityWrapper()
|
|
ex, _ = ut.index_building_progress(c_name, index_name)
|
|
log.error(str(ex))
|
|
assert "invalid" or "illegal" in str(ex)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_index_invalid_name(self, get_invalid_collection_name):
|
|
"""
|
|
target: test wait_index
|
|
method: input invalid name
|
|
expected: raise exception
|
|
"""
|
|
pass
|
|
# self._connect()
|
|
# c_name = get_invalid_collection_name
|
|
# ut = ApiUtilityWrapper()
|
|
# if isinstance(c_name, str) and c_name:
|
|
# ex, _ = ut.wait_for_index_building_complete(c_name, check_items={ct.err_code: 1, ct.err_msg: "Invalid collection name"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def _test_wait_index_invalid_index_name(self, get_invalid_index_name):
|
|
"""
|
|
target: test wait_index
|
|
method: input invalid index name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
index_name = get_invalid_index_name
|
|
ut = ApiUtilityWrapper()
|
|
ex, _ = ut.wait_for_index_building_complete(c_name, index_name)
|
|
log.error(str(ex))
|
|
assert "invalid" or "illegal" in str(ex)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("invalid_c_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_loading_progress_invalid_collection_name(self, invalid_c_name):
|
|
"""
|
|
target: test loading progress with invalid collection name
|
|
method: input invalid collection name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
df = cf.gen_default_dataframe_data(nb=ct.default_nb)
|
|
self.collection_wrap.construct_from_dataframe(c_name, df, primary_field=ct.default_int64_field_name)
|
|
self.collection_wrap.load()
|
|
error = {ct.err_code: 1, ct.err_msg: "Invalid collection name: {}".format(invalid_c_name)}
|
|
self.utility_wrap.loading_progress(invalid_c_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_loading_progress_not_existed_collection_name(self):
|
|
"""
|
|
target: test loading progress with invalid collection name
|
|
method: input invalid collection name
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
df = cf.gen_default_dataframe_data(nb=ct.default_nb)
|
|
self.collection_wrap.construct_from_dataframe(c_name, df, primary_field=ct.default_int64_field_name)
|
|
self.collection_wrap.load()
|
|
error = {ct.err_code: 1, ct.err_msg: "describe collection failed: can't find collection"}
|
|
self.utility_wrap.loading_progress("not_existed_name", check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
@pytest.mark.xfail(reason="issue #7613")
|
|
def test_loading_progress_invalid_partition_names(self, get_invalid_partition_names):
|
|
"""
|
|
target: test loading progress with invalid partition names
|
|
method: input invalid partition names
|
|
expected: raise an exception
|
|
"""
|
|
collection_w = self.init_collection_general(prefix)[0]
|
|
partition_names = get_invalid_partition_names
|
|
err_msg = {ct.err_code: 0, ct.err_msg: "`partition_name_array` value {} is illegal".format(partition_names)}
|
|
collection_w.load()
|
|
self.utility_wrap.loading_progress(collection_w.name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=err_msg)
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
@pytest.mark.xfail("issue #7613")
|
|
@pytest.mark.parametrize("partition_names", [[ct.default_tag], [ct.default_partition_name, ct.default_tag]])
|
|
def test_loading_progress_not_existed_partitions(self, partition_names):
|
|
"""
|
|
target: test loading progress with not existed partitions
|
|
method: input all or part not existed partition names
|
|
expected: raise exception
|
|
"""
|
|
collection_w = self.init_collection_general(prefix)[0]
|
|
log.debug(collection_w.num_entities)
|
|
collection_w.load()
|
|
err_msg = {ct.err_code: 0, ct.err_msg: "can't find partition"}
|
|
self.utility_wrap.loading_progress(collection_w.name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=err_msg)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_for_loading_collection_not_existed(self):
|
|
"""
|
|
target: test wait for loading
|
|
method: input collection not created before
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.utility_wrap.wait_for_loading_complete(
|
|
c_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "can't find collection"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_for_loading_partition_not_existed(self):
|
|
"""
|
|
target: test wait for loading
|
|
method: input partition not created before
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
collection_w = self.init_collection_wrap()
|
|
self.utility_wrap.wait_for_loading_complete(
|
|
collection_w.name, partition_names=[ct.default_tag],
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: f'partitionID of partitionName:{ct.default_tag} can not be find'})
|
|
|
|
def test_drop_collection_not_existed(self):
|
|
"""
|
|
target: test drop an not existed collection
|
|
method: drop a not created collection
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
error = {ct.err_code: 0, ct.err_msg: "describe collection failed: can't find collection:"}
|
|
self.utility_wrap.drop_collection(c_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_left_vector_invalid_type(self, get_invalid_vector_dict):
|
|
"""
|
|
target: test calculated distance with invalid vectors
|
|
method: input invalid vectors type
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
invalid_vector = get_invalid_vector_dict
|
|
if not isinstance(invalid_vector, dict):
|
|
self.utility_wrap.calc_distance(invalid_vector, invalid_vector,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "vectors_left value {} "
|
|
"is illegal".format(invalid_vector)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_left_vector_invalid_value(self, get_invalid_vector_dict):
|
|
"""
|
|
target: test calculated distance with invalid vectors
|
|
method: input invalid vectors value
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
invalid_vector = get_invalid_vector_dict
|
|
if isinstance(invalid_vector, dict):
|
|
self.utility_wrap.calc_distance(invalid_vector, invalid_vector,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "vectors_left value {} "
|
|
"is illegal".format(invalid_vector)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_right_vector_invalid_type(self, get_invalid_vector_dict):
|
|
"""
|
|
target: test calculated distance with invalid vectors
|
|
method: input invalid vectors type
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
invalid_vector = get_invalid_vector_dict
|
|
vector = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vector}
|
|
if not isinstance(invalid_vector, dict):
|
|
self.utility_wrap.calc_distance(op_l, invalid_vector,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "vectors_right value {} "
|
|
"is illegal".format(invalid_vector)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_right_vector_invalid_value(self, get_invalid_vector_dict):
|
|
"""
|
|
target: test calculated distance with invalid vectors
|
|
method: input invalid vectors value
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
invalid_vector = get_invalid_vector_dict
|
|
vector = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vector}
|
|
if isinstance(invalid_vector, dict):
|
|
self.utility_wrap.calc_distance(op_l, invalid_vector,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "vectors_right value {} "
|
|
"is illegal".format(invalid_vector)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_invalid_metric_type(self, get_support_metric_field, get_invalid_metric_type):
|
|
"""
|
|
target: test calculated distance with invalid metric
|
|
method: input invalid metric
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
metric_field = get_support_metric_field
|
|
metric = get_invalid_metric_type
|
|
params = {metric_field: metric}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "params value {{'metric': {}}} "
|
|
"is illegal".format(metric)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_invalid_metric_value(self, get_support_metric_field, get_invalid_metric_value):
|
|
"""
|
|
target: test calculated distance with invalid metric
|
|
method: input invalid metric
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
metric_field = get_support_metric_field
|
|
metric = get_invalid_metric_value
|
|
params = {metric_field: metric}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "{} metric type is invalid for "
|
|
"float vector".format(metric)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_not_support_metric(self, get_support_metric_field, get_not_support_metric):
|
|
"""
|
|
target: test calculated distance with invalid metric
|
|
method: input invalid metric
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
metric_field = get_support_metric_field
|
|
metric = get_not_support_metric
|
|
params = {metric_field: metric}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "{} metric type is invalid for "
|
|
"float vector".format(metric)})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_invalid_using(self, get_support_metric_field):
|
|
"""
|
|
target: test calculated distance with invalid using
|
|
method: input invalid using
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
metric_field = get_support_metric_field
|
|
params = {metric_field: "L2", "sqrt": True}
|
|
using = "empty"
|
|
self.utility_wrap.calc_distance(op_l, op_r, params, using=using,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "should create connect"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_not_match_dim(self):
|
|
"""
|
|
target: test calculated distance with invalid vectors
|
|
method: input invalid vectors type and value
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
dim = 129
|
|
vector_l = cf.gen_vectors(default_nb, default_dim)
|
|
vector_r = cf.gen_vectors(default_nb, dim)
|
|
op_l = {"float_vectors": vector_l}
|
|
op_r = {"float_vectors": vector_r}
|
|
self.utility_wrap.calc_distance(op_l, op_r,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "Cannot calculate distance between "
|
|
"vectors with different dimension"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_collection_before_load(self, get_support_metric_field):
|
|
"""
|
|
target: test calculated distance when entities is not ready
|
|
method: calculate distance before load
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb,
|
|
is_index=True)
|
|
middle = len(insert_ids) // 2
|
|
op_l = {"ids": insert_ids[:middle], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
metric_field = get_support_metric_field
|
|
params = {metric_field: "L2", "sqrt": True}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={"err_code": 1,
|
|
"err_msg": "collection {} was not "
|
|
"loaded into memory)".format(collection_w.name)})
|
|
|
|
|
|
class TestUtilityBase(TestcaseBase):
|
|
""" Test case of index interface """
|
|
|
|
@pytest.fixture(scope="function", params=["metric_type", "metric"])
|
|
def metric_field(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=[True, False])
|
|
def sqrt(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["L2", "IP"])
|
|
def metric(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["HAMMING", "TANIMOTO"])
|
|
def metric_binary(self, request):
|
|
yield request.param
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_collection(self):
|
|
"""
|
|
target: test has_collection with collection name
|
|
method: input collection name created before
|
|
expected: True
|
|
"""
|
|
cw = self.init_collection_wrap()
|
|
res, _ = self.utility_wrap.has_collection(cw.name)
|
|
assert res is True
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_has_collection_not_created(self):
|
|
"""
|
|
target: test has_collection with collection name which is not created
|
|
method: input random collection name
|
|
expected: False
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
_ = self.init_collection_wrap()
|
|
res, _ = self.utility_wrap.has_collection(c_name)
|
|
assert res is False
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_collection_after_drop(self):
|
|
"""
|
|
target: test has_collection with collection name droped before
|
|
method: input random collection name
|
|
expected: False
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
res, _ = self.utility_wrap.has_collection(c_name)
|
|
assert res is True
|
|
cw.drop()
|
|
res, _ = self.utility_wrap.has_collection(c_name)
|
|
assert res is False
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_has_partition(self):
|
|
"""
|
|
target: test has_partition with partition name
|
|
method: input collection name and partition name created before
|
|
expected: True
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
p_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
self.init_partition_wrap(cw, p_name)
|
|
res, _ = self.utility_wrap.has_partition(c_name, p_name)
|
|
assert res is True
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_partition_not_created(self):
|
|
"""
|
|
target: test has_partition with partition name
|
|
method: input collection name, and partition name not created before
|
|
expected: True
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
p_name = cf.gen_unique_str()
|
|
self.init_collection_wrap(name=c_name)
|
|
res, _ = self.utility_wrap.has_partition(c_name, p_name)
|
|
assert res is False
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_has_partition_after_drop(self):
|
|
"""
|
|
target: test has_partition with partition name
|
|
method: input collection name, and partition name dropped
|
|
expected: True
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
p_name = cf.gen_unique_str()
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
pw = self.init_partition_wrap(cw, p_name)
|
|
res, _ = self.utility_wrap.has_partition(c_name, p_name)
|
|
assert res is True
|
|
pw.drop()
|
|
res, _ = self.utility_wrap.has_partition(c_name, p_name)
|
|
assert res is False
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_has_default_partition(self):
|
|
"""
|
|
target: test has_partition with '_default' partition
|
|
method: input collection name and partition name created before
|
|
expected: True
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(name=c_name)
|
|
res, _ = self.utility_wrap.has_partition(c_name, ct.default_partition_name)
|
|
assert res is True
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_list_collections(self):
|
|
"""
|
|
target: test list_collections
|
|
method: create collection, list_collections
|
|
expected: in the result
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(name=c_name)
|
|
res, _ = self.utility_wrap.list_collections()
|
|
assert c_name in res
|
|
|
|
# TODO: make sure all collections deleted
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def _test_list_collections_no_collection(self):
|
|
"""
|
|
target: test list_collections
|
|
method: no collection created, list_collections
|
|
expected: length of the result equals to 0
|
|
"""
|
|
self._connect()
|
|
res, _ = self.utility_wrap.list_collections()
|
|
assert len(res) == 0
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_collection_not_existed(self):
|
|
"""
|
|
target: test building_process
|
|
method: input collection not created before
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.utility_wrap.index_building_progress(
|
|
c_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "can't find collection"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_collection_empty(self):
|
|
"""
|
|
target: test building_process
|
|
method: input empty collection
|
|
expected: no exception raised
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
self.index_wrap.init_index(cw.collection, default_field_name, default_index_params)
|
|
res, _ = self.utility_wrap.index_building_progress(c_name)
|
|
exp_res = {'total_rows': 0, 'indexed_rows': 0}
|
|
assert res == exp_res
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_collection_insert_no_index(self):
|
|
"""
|
|
target: test building_process
|
|
method: insert 1 entity, no index created
|
|
expected: no exception raised
|
|
"""
|
|
nb = 1
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
data = cf.gen_default_list_data(nb)
|
|
cw.insert(data=data)
|
|
error = {ct.err_code: 1, ct.err_msg: "no index is created"}
|
|
self.utility_wrap.index_building_progress(c_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_collection_index(self):
|
|
"""
|
|
target: test building_process
|
|
method: 1.insert 1024 (because minSegmentSizeToEnableIndex=1024)
|
|
2.build(server does create index) and call building_process
|
|
expected: indexed_rows=0
|
|
"""
|
|
nb = 1024
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
data = cf.gen_default_list_data(nb)
|
|
cw.insert(data=data)
|
|
cw.create_index(default_field_name, default_index_params)
|
|
res, _ = self.utility_wrap.index_building_progress(c_name)
|
|
assert res['indexed_rows'] == 0
|
|
assert res['total_rows'] == nb
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_index_process_collection_indexing(self):
|
|
"""
|
|
target: test building_process
|
|
method: 1.insert 2048 entities to ensure that server will build
|
|
2.call building_process during building
|
|
expected: 2048 or less entities indexed
|
|
"""
|
|
nb = 2048
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
data = cf.gen_default_list_data(nb)
|
|
cw.insert(data=data)
|
|
cw.create_index(default_field_name, default_index_params)
|
|
res, _ = self.utility_wrap.index_building_progress(c_name)
|
|
assert (0 < res['indexed_rows'] <= nb)
|
|
assert res['total_rows'] == nb
|
|
# for _ in range(2):
|
|
# assert "indexed_rows" in res
|
|
# assert res["indexed_rows"] <= nb
|
|
# assert res["indexed_rows"] >= 0
|
|
# assert "total_rows" in res
|
|
# assert res["total_rows"] == nb
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_index_collection_not_existed(self):
|
|
"""
|
|
target: test wait_index
|
|
method: input collection not created before
|
|
expected: raise exception
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.utility_wrap.wait_for_index_building_complete(
|
|
c_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "can't find collection"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_index_collection_empty(self):
|
|
"""
|
|
target: test wait_index
|
|
method: input empty collection
|
|
expected: no exception raised
|
|
"""
|
|
self._connect()
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
cw.create_index(default_field_name, default_index_params)
|
|
assert self.utility_wrap.wait_for_index_building_complete(c_name)[0]
|
|
res, _ = self.utility_wrap.index_building_progress(c_name)
|
|
exp_res = {'total_rows': 0, 'indexed_rows': 0}
|
|
assert res == exp_res
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_index_collection_index(self):
|
|
"""
|
|
target: test wait_index
|
|
method: insert 5000 entities, build and call wait_index
|
|
expected: 5000 entity indexed
|
|
"""
|
|
nb = 5000
|
|
c_name = cf.gen_unique_str(prefix)
|
|
cw = self.init_collection_wrap(name=c_name)
|
|
data = cf.gen_default_list_data(nb)
|
|
cw.insert(data=data)
|
|
cw.create_index(default_field_name, default_index_params)
|
|
res, _ = self.utility_wrap.wait_for_index_building_complete(c_name)
|
|
assert res is True
|
|
res, _ = self.utility_wrap.index_building_progress(c_name)
|
|
assert res["indexed_rows"] == nb
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
def test_loading_progress_without_loading(self):
|
|
"""
|
|
target: test loading progress without loading
|
|
method: insert and flush data, call loading_progress without loading
|
|
expected: loaded entities is 0
|
|
"""
|
|
collection_w = self.init_collection_wrap()
|
|
df = cf.gen_default_dataframe_data()
|
|
collection_w.insert(df)
|
|
assert collection_w.num_entities == ct.default_nb
|
|
exp_res = {num_loaded_entities: 0, num_total_entities: ct.default_nb}
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
assert res == exp_res
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
@pytest.mark.parametrize("nb", [ct.default_nb, 5000])
|
|
def test_loading_progress_collection(self, nb):
|
|
"""
|
|
target: test loading progress
|
|
method: 1.insert flush and load 2.call loading_progress
|
|
expected: all entities is loafed, because load is synchronous
|
|
"""
|
|
# create, insert default_nb, flush and load
|
|
collection_w = self.init_collection_general(prefix, insert_data=True, nb=nb)[0]
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
assert res[num_total_entities] == nb
|
|
assert res[num_loaded_entities] == nb
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
@pytest.mark.xfail(reason="pymilvus issue #702")
|
|
def test_loading_progress_with_async_load(self):
|
|
"""
|
|
target: test loading progress with async collection load
|
|
method: 1.load collection with async=True 2.loading_progress
|
|
expected: loading part entities
|
|
"""
|
|
collection_w = self.init_collection_wrap()
|
|
df = cf.gen_default_dataframe_data()
|
|
collection_w.insert(df)
|
|
assert collection_w.num_entities == ct.default_nb
|
|
collection_w.load(_async=True)
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
assert (0 < res[num_loaded_entities] <= ct.default_nb)
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
def test_loading_progress_empty_collection(self):
|
|
"""
|
|
target: test loading_progress on a empty collection
|
|
method: 1.create collection and no insert 2.loading_progress
|
|
expected: 0 entities is loaded
|
|
"""
|
|
collection_w = self.init_collection_wrap()
|
|
collection_w.load()
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
exp_res = {num_loaded_entities: 0, num_total_entities: 0}
|
|
assert exp_res == res
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
def test_loading_progress_after_release(self):
|
|
"""
|
|
target: test loading progress without loading
|
|
method: insert and flush data, call loading_progress without loading
|
|
expected: loaded entities is 0
|
|
"""
|
|
collection_w = self.init_collection_general(prefix, insert_data=True)[0]
|
|
collection_w.release()
|
|
exp_res = {num_loaded_entities: 0, num_total_entities: ct.default_nb}
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
assert res == exp_res
|
|
|
|
@pytest.mark.tag(CaseLabel.L2)
|
|
def test_loading_progress_with_release_partition(self):
|
|
"""
|
|
target: test loading progress after release part partitions
|
|
method: 1.insert data into two partitions and flush
|
|
2.load collection and release onr partition
|
|
expected: loaded one partition entities
|
|
"""
|
|
half = ct.default_nb
|
|
# insert entities into two partitions, collection flush and load
|
|
collection_w, partition_w, _, _ = self.insert_entities_into_two_partitions_in_half(half)
|
|
partition_w.release()
|
|
res = self.utility_wrap.loading_progress(collection_w.name)[0]
|
|
assert res[num_total_entities] == half * 2
|
|
assert res[num_loaded_entities] == half
|
|
|
|
@pytest.mark.tag(CaseLabel.L2)
|
|
def test_loading_progress_with_load_partition(self):
|
|
"""
|
|
target: test loading progress after load partition
|
|
method: 1.insert data into two partitions and flush
|
|
2.load one partition and loading progress
|
|
expected: loaded one partition entities
|
|
"""
|
|
half = ct.default_nb
|
|
collection_w, partition_w, _, _ = self.insert_entities_into_two_partitions_in_half(half)
|
|
collection_w.release()
|
|
partition_w.load()
|
|
res = self.utility_wrap.loading_progress(collection_w.name)[0]
|
|
assert res[num_total_entities] == half * 2
|
|
assert res[num_loaded_entities] == half
|
|
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
def test_loading_progress_with_partition(self):
|
|
"""
|
|
target: test loading progress with partition
|
|
method: 1.insert data into two partitions and flush, and load
|
|
2.loading progress with one partition
|
|
expected: loaded one partition entities
|
|
"""
|
|
half = ct.default_nb
|
|
collection_w, partition_w, _, _ = self.insert_entities_into_two_partitions_in_half(half)
|
|
res = self.utility_wrap.loading_progress(collection_w.name, partition_names=[partition_w.name])[0]
|
|
assert res[num_total_entities] == half
|
|
assert res[num_loaded_entities] == half
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_wait_loading_collection_empty(self):
|
|
"""
|
|
target: test wait_for_loading
|
|
method: input empty collection
|
|
expected: no exception raised
|
|
"""
|
|
self._connect()
|
|
cw = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
|
|
cw.load()
|
|
self.utility_wrap.wait_for_loading_complete(cw.name)
|
|
res, _ = self.utility_wrap.loading_progress(cw.name)
|
|
exp_res = {num_total_entities: 0, num_loaded_entities: 0}
|
|
assert res == exp_res
|
|
|
|
@pytest.mark.xfail(reason="pymilvus issue #702")
|
|
@pytest.mark.tag(CaseLabel.L1)
|
|
def test_wait_for_loading_complete(self):
|
|
"""
|
|
target: test wait for loading collection
|
|
method: insert 10000 entities and wait for loading complete
|
|
expected: after loading complete, loaded entities is 10000
|
|
"""
|
|
nb = 6000
|
|
collection_w = self.init_collection_wrap()
|
|
df = cf.gen_default_dataframe_data(nb)
|
|
collection_w.insert(df)
|
|
assert collection_w.num_entities == nb
|
|
collection_w.load(_async=True)
|
|
self.utility_wrap.wait_for_loading_complete(collection_w.name)
|
|
res, _ = self.utility_wrap.loading_progress(collection_w.name)
|
|
assert res[num_loaded_entities] == nb
|
|
|
|
@pytest.mark.tag(CaseLabel.L0)
|
|
def test_drop_collection(self):
|
|
"""
|
|
target: test utility drop collection by name
|
|
method: input collection name and drop collection
|
|
expected: collection is dropped
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(c_name)
|
|
assert self.utility_wrap.has_collection(c_name)[0]
|
|
self.utility_wrap.drop_collection(c_name)
|
|
assert not self.utility_wrap.has_collection(c_name)[0]
|
|
|
|
def test_drop_collection_repeatedly(self):
|
|
"""
|
|
target: test drop collection repeatedly
|
|
method: 1.collection.drop 2.utility.drop_collection
|
|
expected: raise exception
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
collection_w = self.init_collection_wrap(c_name)
|
|
assert self.utility_wrap.has_collection(c_name)[0]
|
|
collection_w.drop()
|
|
assert not self.utility_wrap.has_collection(c_name)[0]
|
|
error = {ct.err_code: 1, ct.err_msg: {"describe collection failed: can't find collection:"}}
|
|
self.utility_wrap.drop_collection(c_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
def test_drop_collection_create_repeatedly(self):
|
|
"""
|
|
target: test repeatedly create and drop same name collection
|
|
method: repeatedly create and drop collection
|
|
expected: no exception
|
|
"""
|
|
from time import sleep
|
|
loops = 3
|
|
c_name = cf.gen_unique_str(prefix)
|
|
for _ in range(loops):
|
|
self.init_collection_wrap(c_name)
|
|
assert self.utility_wrap.has_collection(c_name)[0]
|
|
self.utility_wrap.drop_collection(c_name)
|
|
assert not self.utility_wrap.has_collection(c_name)[0]
|
|
sleep(1)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_default(self):
|
|
"""
|
|
target: test calculated distance with default params
|
|
method: calculated distance between two random vectors
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
self.utility_wrap.calc_distance(op_l, op_r,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_default_sqrt(self, metric_field, metric):
|
|
"""
|
|
target: test calculated distance with default param
|
|
method: calculated distance with default sqrt
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
params = {metric_field: metric}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_default_metric(self, sqrt):
|
|
"""
|
|
target: test calculated distance with default param
|
|
method: calculated distance with default metric
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
vectors_l = cf.gen_vectors(default_nb, default_dim)
|
|
vectors_r = cf.gen_vectors(default_nb, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"float_vectors": vectors_r}
|
|
params = {"sqrt": sqrt}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_binary_metric(self, metric_field, metric_binary):
|
|
"""
|
|
target: test calculate distance with binary vectors
|
|
method: calculate distance between binary vectors
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
raw_vectors_l, vectors_l = cf.gen_binary_vectors(nb, default_dim)
|
|
raw_vectors_r, vectors_r = cf.gen_binary_vectors(nb, default_dim)
|
|
op_l = {"bin_vectors": vectors_l}
|
|
op_r = {"bin_vectors": vectors_r}
|
|
params = {metric_field: metric_binary}
|
|
vectors_l = raw_vectors_l
|
|
vectors_r = raw_vectors_r
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric_binary})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_calc_distance_from_collection_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance from collection entities
|
|
method: both left and right vectors are from collection
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb)
|
|
middle = len(insert_ids) // 2
|
|
vectors = vectors[0].loc[:, default_field_name]
|
|
vectors_l = vectors[:middle]
|
|
vectors_r = []
|
|
for i in range(middle):
|
|
vectors_r.append(vectors[middle + i])
|
|
op_l = {"ids": insert_ids[:middle], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_from_collections(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance between entities from collections
|
|
method: calculated distance between entities from two collections
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
prefix_1 = "utility_distance"
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb)
|
|
collection_w_1, vectors_1, _, insert_ids_1 = self.init_collection_general(prefix_1, True, nb)
|
|
vectors_l = vectors[0].loc[:, default_field_name]
|
|
vectors_r = vectors_1[0].loc[:, default_field_name]
|
|
op_l = {"ids": insert_ids, "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
op_r = {"ids": insert_ids_1, "collection": collection_w_1.name,
|
|
"field": default_field_name}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_left_vector_and_collection_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance from collection entities
|
|
method: set left vectors as random vectors, right vectors from collection
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb)
|
|
middle = len(insert_ids) // 2
|
|
vectors = vectors[0].loc[:, default_field_name]
|
|
vectors_l = cf.gen_vectors(nb, default_dim)
|
|
vectors_r = []
|
|
for i in range(middle):
|
|
vectors_r.append(vectors[middle + i])
|
|
op_l = {"float_vectors": vectors_l}
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_right_vector_and_collection_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance from collection entities
|
|
method: set right vectors as random vectors, left vectors from collection
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb)
|
|
middle = len(insert_ids) // 2
|
|
vectors = vectors[0].loc[:, default_field_name]
|
|
vectors_l = vectors[:middle]
|
|
vectors_r = cf.gen_vectors(nb, default_dim)
|
|
op_l = {"ids": insert_ids[:middle], "collection": collection_w.name,
|
|
"field": default_field_name}
|
|
op_r = {"float_vectors": vectors_r}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_from_partition_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance from one partition entities
|
|
method: both left and right vectors are from partition
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb, partition_num=1)
|
|
partitions = collection_w.partitions
|
|
middle = len(insert_ids) // 2
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
for i in range(len(partitions)):
|
|
vectors_l = vectors[i].loc[:, default_field_name]
|
|
vectors_r = vectors[i].loc[:, default_field_name]
|
|
op_l = {"ids": insert_ids[:middle], "collection": collection_w.name,
|
|
"partition": partitions[i].name, "field": default_field_name}
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"partition": partitions[i].name, "field": default_field_name}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_from_partitions(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance between entities from partitions
|
|
method: calculate distance between entities from two partitions
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb, partition_num=1)
|
|
partitions = collection_w.partitions
|
|
middle = len(insert_ids) // 2
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
vectors_l = vectors[0].loc[:, default_field_name]
|
|
vectors_r = vectors[1].loc[:, default_field_name]
|
|
op_l = {"ids": insert_ids[:middle], "collection": collection_w.name,
|
|
"partition": partitions[0].name, "field": default_field_name}
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"partition": partitions[1].name, "field": default_field_name}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_left_vectors_and_partition_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance between vectors and partition entities
|
|
method: set left vectors as random vectors, right vectors are entities
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb, partition_num=1)
|
|
middle = len(insert_ids) // 2
|
|
partitions = collection_w.partitions
|
|
vectors_l = cf.gen_vectors(nb // 2, default_dim)
|
|
op_l = {"float_vectors": vectors_l}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
for i in range(len(partitions)):
|
|
vectors_r = vectors[i].loc[:, default_field_name]
|
|
op_r = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"partition": partitions[i].name, "field": default_field_name}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_calc_distance_right_vectors_and_partition_ids(self, metric_field, metric, sqrt):
|
|
"""
|
|
target: test calculated distance between vectors and partition entities
|
|
method: set right vectors as random vectors, left vectors are entities
|
|
expected: distance calculated successfully
|
|
"""
|
|
self._connect()
|
|
nb = 10
|
|
collection_w, vectors, _, insert_ids = self.init_collection_general(prefix, True, nb, partition_num=1)
|
|
middle = len(insert_ids) // 2
|
|
partitions = collection_w.partitions
|
|
vectors_r = cf.gen_vectors(nb // 2, default_dim)
|
|
op_r = {"float_vectors": vectors_r}
|
|
params = {metric_field: metric, "sqrt": sqrt}
|
|
for i in range(len(partitions)):
|
|
vectors_l = vectors[i].loc[:, default_field_name]
|
|
op_l = {"ids": insert_ids[middle:], "collection": collection_w.name,
|
|
"partition": partitions[i].name, "field": default_field_name}
|
|
self.utility_wrap.calc_distance(op_l, op_r, params,
|
|
check_task=CheckTasks.check_distance,
|
|
check_items={"vectors_l": vectors_l,
|
|
"vectors_r": vectors_r,
|
|
"metric": metric,
|
|
"sqrt": sqrt})
|
|
|
|
|
|
class TestUtilityAdvanced(TestcaseBase):
|
|
""" Test case of index interface """
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_has_collection_multi_collections(self):
|
|
"""
|
|
target: test has_collection with collection name
|
|
method: input collection name created before
|
|
expected: True
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
c_name_2 = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(name=c_name)
|
|
self.init_collection_wrap(name=c_name_2)
|
|
for name in [c_name, c_name_2]:
|
|
res, _ = self.utility_wrap.has_collection(name)
|
|
assert res is True
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_list_collections_multi_collection(self):
|
|
"""
|
|
target: test list_collections
|
|
method: create collection, list_collections
|
|
expected: in the result
|
|
"""
|
|
c_name = cf.gen_unique_str(prefix)
|
|
c_name_2 = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(name=c_name)
|
|
self.init_collection_wrap(name=c_name_2)
|
|
res, _ = self.utility_wrap.list_collections()
|
|
for name in [c_name, c_name_2]:
|
|
assert name in res
|
|
|
|
def test_drop_multi_collection_concurrent(self):
|
|
"""
|
|
target: test concurrent drop collection
|
|
method: multi thread drop one collection
|
|
expected: drop successfully
|
|
"""
|
|
thread_num = 3
|
|
threads = []
|
|
c_names = []
|
|
num = 5
|
|
|
|
for i in range(thread_num*num):
|
|
c_name = cf.gen_unique_str(prefix)
|
|
self.init_collection_wrap(c_name)
|
|
c_names.append(c_name)
|
|
|
|
def create_and_drop_collection(names):
|
|
for name in names:
|
|
assert self.utility_wrap.has_collection(name)[0]
|
|
self.utility_wrap.drop_collection(name)
|
|
assert not self.utility_wrap.has_collection(name)[0]
|
|
|
|
for i in range(thread_num):
|
|
x = threading.Thread(target=create_and_drop_collection, args=(c_names[i*num:(i+1)*num],))
|
|
threads.append(x)
|
|
x.start()
|
|
for t in threads:
|
|
t.join()
|
|
log.debug(self.utility_wrap.list_collections()[0])
|
|
|