milvus/client/results_test.go
congqixia 744a36c287
enhance: [GoSDK] support unmarshal result set into orm receiver (#36789)
Related to milvus-io/milvus-sdk-go#800

Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
2024-10-15 10:37:23 +08:00

128 lines
3.0 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package client
import (
"testing"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus/client/v2/column"
"github.com/milvus-io/milvus/client/v2/entity"
)
type ResultSetSuite struct {
suite.Suite
}
func (s *ResultSetSuite) TestResultsetUnmarshal() {
type MyData struct {
A int64 `milvus:"name:id"`
V []float32 `milvus:"name:vector"`
}
type OtherData struct {
A string `milvus:"name:id"`
V []float32 `milvus:"name:vector"`
}
var (
idData = []int64{1, 2, 3}
vectorData = [][]float32{
{0.1, 0.2},
{0.1, 0.2},
{0.1, 0.2},
}
)
rs := DataSet([]column.Column{
column.NewColumnInt64("id", idData),
column.NewColumnFloatVector("vector", 2, vectorData),
})
err := rs.Unmarshal([]MyData{})
s.Error(err)
receiver := []MyData{}
err = rs.Unmarshal(&receiver)
s.Error(err)
var ptrReceiver []*MyData
err = rs.Unmarshal(&ptrReceiver)
s.NoError(err)
for idx, row := range ptrReceiver {
s.Equal(row.A, idData[idx])
s.Equal(row.V, vectorData[idx])
}
var otherReceiver []*OtherData
err = rs.Unmarshal(&otherReceiver)
s.Error(err)
}
func (s *ResultSetSuite) TestSearchResultUnmarshal() {
type MyData struct {
A int64 `milvus:"name:id"`
V []float32 `milvus:"name:vector"`
}
type OtherData struct {
A string `milvus:"name:id"`
V []float32 `milvus:"name:vector"`
}
var (
idData = []int64{1, 2, 3}
vectorData = [][]float32{
{0.1, 0.2},
{0.1, 0.2},
{0.1, 0.2},
}
)
sr := ResultSet{
sch: entity.NewSchema().
WithField(entity.NewField().WithName("id").WithIsPrimaryKey(true).WithDataType(entity.FieldTypeInt64)).
WithField(entity.NewField().WithName("vector").WithDim(2).WithDataType(entity.FieldTypeFloatVector)),
IDs: column.NewColumnInt64("id", idData),
Fields: DataSet([]column.Column{
column.NewColumnFloatVector("vector", 2, vectorData),
}),
}
err := sr.Unmarshal([]MyData{})
s.Error(err)
receiver := []MyData{}
err = sr.Unmarshal(&receiver)
s.Error(err)
var ptrReceiver []*MyData
err = sr.Unmarshal(&ptrReceiver)
s.NoError(err)
for idx, row := range ptrReceiver {
s.Equal(row.A, idData[idx])
s.Equal(row.V, vectorData[idx])
}
var otherReceiver []*OtherData
err = sr.Unmarshal(&otherReceiver)
s.Error(err)
}
func TestResults(t *testing.T) {
suite.Run(t, new(ResultSetSuite))
}