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>
This commit is contained in:
congqixia 2024-10-15 10:37:23 +08:00 committed by GitHub
parent 0ec92513a5
commit 744a36c287
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4 changed files with 364 additions and 24 deletions

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@ -29,30 +29,6 @@ import (
"github.com/milvus-io/milvus/pkg/util/merr"
)
type ResultSets struct{}
type ResultSet struct {
ResultCount int // the returning entry count
GroupByValue column.Column
IDs column.Column // auto generated id, can be mapped to the columns from `Insert` API
Fields DataSet // output field data
Scores []float32 // distance to the target vector
Err error // search error if any
}
// DataSet is an alias type for column slice.
type DataSet []column.Column
// GetColumn returns column with provided field name.
func (rs ResultSet) GetColumn(fieldName string) column.Column {
for _, column := range rs.Fields {
if column.Name() == fieldName {
return column
}
}
return nil
}
func (c *Client) Search(ctx context.Context, option SearchOption, callOptions ...grpc.CallOption) ([]ResultSet, error) {
req := option.Request()
collection, err := c.getCollection(ctx, req.GetCollectionName())

194
client/results.go Normal file
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@ -0,0 +1,194 @@
// 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 (
"reflect"
"github.com/cockroachdb/errors"
"github.com/milvus-io/milvus/client/v2/column"
"github.com/milvus-io/milvus/client/v2/entity"
"github.com/milvus-io/milvus/client/v2/row"
)
// ResultSet is struct for search result set.
type ResultSet struct {
// internal schema for unmarshaling
sch *entity.Schema
ResultCount int // the returning entry count
GroupByValue column.Column
IDs column.Column // auto generated id, can be mapped to the columns from `Insert` API
Fields DataSet // output field data
Scores []float32 // distance to the target vector
Err error // search error if any
}
// GetColumn returns column with provided field name.
func (rs *ResultSet) GetColumn(fieldName string) column.Column {
for _, column := range rs.Fields {
if column.Name() == fieldName {
return column
}
}
return nil
}
// Unmarshal puts dataset into receiver in row based way.
// `receiver` shall be a slice of pointer of model struct
// eg, []*Records, in which type `Record` defines the row data.
// note that distance/score is not unmarshaled here.
func (sr *ResultSet) Unmarshal(receiver any) (err error) {
err = sr.Fields.Unmarshal(receiver)
if err != nil {
return err
}
return sr.fillPKEntry(receiver)
}
func (sr *ResultSet) fillPKEntry(receiver any) (err error) {
defer func() {
if x := recover(); x != nil {
err = errors.Newf("failed to unmarshal result set: %v", x)
}
}()
rr := reflect.ValueOf(receiver)
if rr.Kind() == reflect.Ptr {
if rr.IsNil() && rr.CanAddr() {
rr.Set(reflect.New(rr.Type().Elem()))
}
rr = rr.Elem()
}
rt := rr.Type()
rv := rr
switch rt.Kind() {
case reflect.Slice:
pkField := sr.sch.PKField()
et := rt.Elem()
for et.Kind() == reflect.Ptr {
et = et.Elem()
}
candidates := row.ParseCandidate(et)
candi, ok := candidates[pkField.Name]
if !ok {
// pk field not found in struct, skip
return nil
}
for i := 0; i < sr.IDs.Len(); i++ {
row := rv.Index(i)
for row.Kind() == reflect.Ptr {
row = row.Elem()
}
val, err := sr.IDs.Get(i)
if err != nil {
return err
}
row.Field(candi).Set(reflect.ValueOf(val))
}
rr.Set(rv)
default:
return errors.Newf("receiver need to be slice or array but get %v", rt.Kind())
}
return nil
}
// DataSet is an alias type for column slice.
// Returned by query API.
type DataSet []column.Column
// Len returns the row count of dataset.
// if there is no column, it shall return 0.
func (ds DataSet) Len() int {
if len(ds) == 0 {
return 0
}
return ds[0].Len()
}
// Unmarshal puts dataset into receiver in row based way.
// `receiver` shall be a slice of pointer of model struct
// eg, []*Records, in which type `Record` defines the row data.
func (ds DataSet) Unmarshal(receiver any) (err error) {
defer func() {
if x := recover(); x != nil {
err = errors.Newf("failed to unmarshal result set: %v", x)
}
}()
rr := reflect.ValueOf(receiver)
if rr.Kind() == reflect.Ptr {
if rr.IsNil() && rr.CanAddr() {
rr.Set(reflect.New(rr.Type().Elem()))
}
rr = rr.Elem()
}
rt := rr.Type()
rv := rr
switch rt.Kind() {
// TODO maybe support Array and just fill data
// case reflect.Array:
case reflect.Slice:
et := rt.Elem()
if et.Kind() != reflect.Ptr {
return errors.Newf("receiver must be slice of pointers but get: %v", et.Kind())
}
for et.Kind() == reflect.Ptr {
et = et.Elem()
}
for i := 0; i < ds.Len(); i++ {
data := reflect.New(et)
err := ds.fillData(data.Elem(), et, i)
if err != nil {
return err
}
rv = reflect.Append(rv, data)
}
rr.Set(rv)
default:
return errors.Newf("receiver need to be slice or array but get %v", rt.Kind())
}
return nil
}
func (ds DataSet) fillData(data reflect.Value, dataType reflect.Type, idx int) error {
m := row.ParseCandidate(dataType)
for i := 0; i < len(ds); i++ {
name := ds[i].Name()
fidx, ok := m[name]
if !ok {
// if target is not found, the behavior here is to ignore the column
// `strict` mode could be added in the future to return error if any column missing
continue
}
val, err := ds[i].Get(idx)
if err != nil {
return err
}
// TODO check datatype, return error here instead of reflect panicking & recover
data.Field(fidx).Set(reflect.ValueOf(val))
}
return nil
}

127
client/results_test.go Normal file
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@ -0,0 +1,127 @@
// 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))
}

43
client/row/type.go Normal file
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@ -0,0 +1,43 @@
// 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 row
import (
"go/ast"
"reflect"
)
func ParseCandidate(dataType reflect.Type) map[string]int {
result := make(map[string]int)
for i := 0; i < dataType.NumField(); i++ {
f := dataType.Field(i)
// ignore anonymous field for now
if f.Anonymous || !ast.IsExported(f.Name) {
continue
}
name := f.Name
tag := f.Tag.Get(MilvusTag)
tagSettings := ParseTagSetting(tag, MilvusTagSep)
if tagName, has := tagSettings[MilvusTagName]; has {
name = tagName
}
result[name] = i
}
return result
}