wehub-resource-sync
498b235461
Build and test / Build and test AMD64 Ubuntu 22.04 (push) Failing after 0s
Publish Builder / amazonlinux2023 (push) Failing after 1s
Build and test / UT for Go (push) Has been skipped
Publish KRTE Images / KRTE (push) Failing after 1s
Build and test / Integration Test (push) Has been skipped
Build and test / Upload Code Coverage (push) Has been skipped
Publish Builder / rockylinux9 (push) Failing after 1s
Publish Builder / ubuntu22.04 (push) Failing after 0s
Publish Builder / ubuntu24.04 (push) Failing after 0s
Publish Gpu Builder / publish-gpu-builder (push) Failing after 1s
Publish Test Images / PyTest (push) Failing after 0s
Build and test / UT for Cpp (push) Has been cancelled
738 lines
20 KiB
Go
738 lines
20 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 numpy
|
|
|
|
import (
|
|
"bytes"
|
|
"encoding/binary"
|
|
"io"
|
|
"strings"
|
|
"testing"
|
|
|
|
"github.com/sbinet/npyio"
|
|
"github.com/stretchr/testify/assert"
|
|
"golang.org/x/text/encoding/simplifiedchinese"
|
|
"golang.org/x/text/transform"
|
|
|
|
"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
|
|
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
|
|
"github.com/milvus-io/milvus/internal/storage"
|
|
"github.com/milvus-io/milvus/internal/util/testutil"
|
|
"github.com/milvus-io/milvus/pkg/v3/common"
|
|
"github.com/milvus-io/milvus/pkg/v3/util/merr"
|
|
"github.com/milvus-io/milvus/pkg/v3/util/paramtable"
|
|
"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
|
|
)
|
|
|
|
func init() {
|
|
paramtable.Init()
|
|
}
|
|
|
|
func encodeToGB2312(input string) ([]byte, error) {
|
|
encoder := simplifiedchinese.GB18030.NewEncoder() // GB18030 is compatible with GB2312.
|
|
var buf bytes.Buffer
|
|
writer := transform.NewWriter(&buf, encoder)
|
|
|
|
_, err := writer.Write([]byte(input))
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return buf.Bytes(), nil
|
|
}
|
|
|
|
func WriteNonUTF8Npy() io.Reader {
|
|
// Use bytes.Buffer instead of writing to a file
|
|
var buffer bytes.Buffer
|
|
|
|
// Step 1: Write Magic Number and version
|
|
buffer.Write([]byte{0x93, 'N', 'U', 'M', 'P', 'Y'})
|
|
buffer.Write([]byte{1, 0}) // Numpy 1.0 version
|
|
|
|
// Step 2: Construct the header (using '|S20' for 20-byte fixed-length strings)
|
|
header := "{'descr': '|S20', 'fortran_order': False, 'shape': (6,), }"
|
|
headerBytes := []byte(header)
|
|
|
|
// Pad the header to align its length to a multiple of 64 bytes
|
|
padding := 64 - (10+len(headerBytes)+1)%64
|
|
headerBytes = append(headerBytes, make([]byte, padding)...)
|
|
headerBytes = append(headerBytes, '\n')
|
|
|
|
// Write the header length and the header itself
|
|
binary.Write(&buffer, binary.LittleEndian, uint16(len(headerBytes)))
|
|
buffer.Write(headerBytes)
|
|
|
|
// Step 3: Write non-UTF-8 string data (e.g., Latin1 encoded)
|
|
testStrings := []string{
|
|
"hello, vector database", // valid utf-8
|
|
string([]byte{0xC3, 0xA9, 0xB5, 0xF1}), // Latin1 encoded "éµñ"
|
|
string([]byte{0xB0, 0xE1, 0xF2, 0xBD}), // Random non-UTF-8 data
|
|
string([]byte{0xD2, 0xA9, 0xC8, 0xFC}), // Another set of non-UTF-8 data
|
|
}
|
|
|
|
for _, str := range testStrings {
|
|
data := make([]byte, 20)
|
|
copy(data, str)
|
|
buffer.Write(data)
|
|
}
|
|
|
|
// Step 4: Encode and write GB-2312 Chinese strings
|
|
chineseStrings := []string{
|
|
"你好，世界", // "Hello, World"
|
|
"向量数据库", // "Data Storage"
|
|
}
|
|
|
|
for _, str := range chineseStrings {
|
|
gb2312Data, err := encodeToGB2312(str)
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
data := make([]byte, 20)
|
|
copy(data, gb2312Data)
|
|
buffer.Write(data)
|
|
}
|
|
|
|
// Step 5: Convert buffer to a reader to simulate file reading
|
|
reader := bytes.NewReader(buffer.Bytes())
|
|
return reader
|
|
}
|
|
|
|
func TestInvalidUTF8(t *testing.T) {
|
|
fieldSchema := &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "str",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{{Key: "max_length", Value: "256"}},
|
|
}
|
|
|
|
reader := WriteNonUTF8Npy()
|
|
fr, err := NewFieldReader(reader, fieldSchema, common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
|
|
_, _, err = fr.Next(int64(6))
|
|
assert.Error(t, err)
|
|
assert.True(t, strings.Contains(err.Error(), "contains invalid UTF-8 data"))
|
|
}
|
|
|
|
func WriteNormalNpy() io.Reader {
|
|
// Use bytes.Buffer instead of writing to a file
|
|
var buffer bytes.Buffer
|
|
|
|
// Step 1: Write Magic Number and version
|
|
buffer.Write([]byte{0x93, 'N', 'U', 'M', 'P', 'Y'})
|
|
buffer.Write([]byte{1, 0}) // Numpy 1.0 version
|
|
|
|
// Step 2: Construct the header (using '|S20' for 20-byte fixed-length strings)
|
|
header := "{'descr': '<U17', 'fortran_order': False, 'shape': (5,), }"
|
|
headerBytes := []byte(header)
|
|
|
|
// Pad the header to align its length to a multiple of 64 bytes
|
|
padding := 64 - (10+len(headerBytes)+1)%64
|
|
headerBytes = append(headerBytes, make([]byte, padding)...)
|
|
headerBytes = append(headerBytes, '\n')
|
|
|
|
// Write the header length and the header itself
|
|
binary.Write(&buffer, binary.LittleEndian, uint16(len(headerBytes)))
|
|
buffer.Write(headerBytes)
|
|
|
|
// Step 3: Write non-UTF-8 string data (e.g., Latin1 encoded)
|
|
testStrings := []string{
|
|
"this is varchar 0",
|
|
"this is varchar 1",
|
|
"this is varchar 2",
|
|
"this is varchar 3",
|
|
"this is varchar 4",
|
|
}
|
|
|
|
for _, str := range testStrings {
|
|
data := make([]byte, 20)
|
|
copy(data, str)
|
|
buffer.Write(data)
|
|
}
|
|
|
|
// Step 4: Convert buffer to a reader to simulate file reading
|
|
reader := bytes.NewReader(buffer.Bytes())
|
|
return reader
|
|
}
|
|
|
|
func TestNormalRead(t *testing.T) {
|
|
checkFn := func(nullable bool) {
|
|
fieldSchema := &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "str",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{{Key: "max_length", Value: "256"}},
|
|
Nullable: nullable,
|
|
}
|
|
|
|
reader := WriteNormalNpy()
|
|
fr, err := NewFieldReader(reader, fieldSchema, common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
|
|
data, validData, err := fr.Next(int64(6))
|
|
assert.NoError(t, err)
|
|
values, ok := data.([]string)
|
|
assert.True(t, ok)
|
|
assert.Equal(t, 5, len(values))
|
|
if nullable {
|
|
assert.NotNil(t, validData)
|
|
valids, ok := validData.([]bool)
|
|
assert.True(t, ok)
|
|
assert.Equal(t, len(values), len(valids))
|
|
} else {
|
|
assert.Nil(t, validData)
|
|
}
|
|
}
|
|
|
|
checkFn(false)
|
|
checkFn(true)
|
|
}
|
|
|
|
func TestNullableVectorValidDataUsesLogicalRows(t *testing.T) {
|
|
tests := []struct {
|
|
name string
|
|
dataType schemapb.DataType
|
|
fieldData storage.FieldData
|
|
}{
|
|
{
|
|
name: "float vector",
|
|
dataType: schemapb.DataType_FloatVector,
|
|
fieldData: &storage.FloatVectorFieldData{
|
|
Data: make([]float32, 2*dim),
|
|
Dim: dim,
|
|
},
|
|
},
|
|
{
|
|
name: "float16 vector",
|
|
dataType: schemapb.DataType_Float16Vector,
|
|
fieldData: &storage.Float16VectorFieldData{
|
|
Data: make([]byte, 2*dim*2),
|
|
Dim: dim,
|
|
},
|
|
},
|
|
{
|
|
name: "bfloat16 vector",
|
|
dataType: schemapb.DataType_BFloat16Vector,
|
|
fieldData: &storage.BFloat16VectorFieldData{
|
|
Data: make([]byte, 2*dim*2),
|
|
Dim: dim,
|
|
},
|
|
},
|
|
{
|
|
name: "int8 vector",
|
|
dataType: schemapb.DataType_Int8Vector,
|
|
fieldData: &storage.Int8VectorFieldData{
|
|
Data: make([]int8, 2*dim),
|
|
Dim: dim,
|
|
},
|
|
},
|
|
{
|
|
name: "binary vector",
|
|
dataType: schemapb.DataType_BinaryVector,
|
|
fieldData: &storage.BinaryVectorFieldData{
|
|
Data: make([]byte, 2*dim/8),
|
|
Dim: dim,
|
|
},
|
|
},
|
|
}
|
|
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
field := &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "nullable_vector",
|
|
DataType: tt.dataType,
|
|
Nullable: true,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{Key: common.DimKey, Value: "8"},
|
|
},
|
|
}
|
|
reader, err := createReader(tt.fieldData, tt.dataType)
|
|
assert.NoError(t, err)
|
|
|
|
fr, err := NewFieldReader(reader, field, common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
data, validData, err := fr.Next(2)
|
|
assert.NoError(t, err)
|
|
assert.Len(t, validData.([]bool), 2)
|
|
|
|
dst, err := storage.NewFieldData(tt.dataType, field, 0)
|
|
assert.NoError(t, err)
|
|
assert.NoError(t, dst.AppendRows(data, validData))
|
|
assert.Equal(t, 2, dst.RowNum())
|
|
})
|
|
}
|
|
}
|
|
|
|
type ErrReader struct {
|
|
Err error
|
|
}
|
|
|
|
func (r *ErrReader) Read(p []byte) (n int, err error) {
|
|
if r.Err != nil {
|
|
return 0, r.Err
|
|
} else {
|
|
return 1, nil
|
|
}
|
|
}
|
|
|
|
func TestNumpyFieldReaderError(t *testing.T) {
|
|
errReader := &ErrReader{
|
|
Err: merr.WrapErrImportFailed("failed"),
|
|
}
|
|
|
|
// read header error
|
|
_, err := NewFieldReader(errReader, &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "str",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{{Key: "max_length", Value: "256"}},
|
|
}, common.DefaultTimezone)
|
|
assert.Error(t, err)
|
|
|
|
// read values error
|
|
tests := []struct {
|
|
name string
|
|
fieldSchema *schemapb.FieldSchema
|
|
timezone string
|
|
}{
|
|
{
|
|
name: "read bool error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "bool",
|
|
DataType: schemapb.DataType_Bool,
|
|
},
|
|
},
|
|
{
|
|
name: "read int8 error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "int8",
|
|
DataType: schemapb.DataType_Int8,
|
|
},
|
|
},
|
|
{
|
|
name: "read int16 error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "int16",
|
|
DataType: schemapb.DataType_Int16,
|
|
},
|
|
},
|
|
{
|
|
name: "read int32 error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "int32",
|
|
DataType: schemapb.DataType_Int32,
|
|
},
|
|
},
|
|
{
|
|
name: "read int64 error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "int64",
|
|
DataType: schemapb.DataType_Int64,
|
|
},
|
|
},
|
|
{
|
|
name: "read float error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "float",
|
|
DataType: schemapb.DataType_Float,
|
|
},
|
|
},
|
|
{
|
|
name: "read double error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "double",
|
|
DataType: schemapb.DataType_Double,
|
|
},
|
|
},
|
|
{
|
|
name: "read varchar error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "varchar",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{{Key: "max_length", Value: "32"}},
|
|
},
|
|
},
|
|
{
|
|
name: "read json error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "json",
|
|
DataType: schemapb.DataType_JSON,
|
|
},
|
|
},
|
|
{
|
|
name: "read geometry error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "geometry",
|
|
DataType: schemapb.DataType_Geometry,
|
|
},
|
|
},
|
|
{
|
|
name: "read geometry error",
|
|
fieldSchema: &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "geometry",
|
|
DataType: schemapb.DataType_Geometry,
|
|
},
|
|
timezone: "Asia/Shanghai",
|
|
},
|
|
}
|
|
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
schema := &schemapb.CollectionSchema{
|
|
Fields: []*schemapb.FieldSchema{tt.fieldSchema},
|
|
}
|
|
insertData, err := testutil.CreateInsertData(schema, 3)
|
|
assert.NoError(t, err)
|
|
fieldData := insertData.Data[tt.fieldSchema.FieldID]
|
|
reader, err := createReader(fieldData, tt.fieldSchema.DataType)
|
|
assert.NoError(t, err)
|
|
tz := common.DefaultTimezone
|
|
if len(tt.timezone) > 0 {
|
|
tz = tt.timezone
|
|
}
|
|
fieldReader, err := NewFieldReader(reader, tt.fieldSchema, tz)
|
|
assert.NoError(t, err)
|
|
|
|
fieldReader.reader = errReader
|
|
|
|
data, validData, err := fieldReader.Next(5)
|
|
assert.Error(t, err)
|
|
assert.Nil(t, data)
|
|
assert.Nil(t, validData)
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestReadFP16BF16VectorFromFloatNumpy(t *testing.T) {
|
|
const (
|
|
fieldID = int64(100)
|
|
rowCount = 2
|
|
)
|
|
makeField := func(dataType schemapb.DataType) *schemapb.FieldSchema {
|
|
return &schemapb.FieldSchema{
|
|
FieldID: fieldID,
|
|
Name: "vector",
|
|
DataType: dataType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{Key: "dim", Value: "8"},
|
|
},
|
|
}
|
|
}
|
|
|
|
t.Run("float32 source", func(t *testing.T) {
|
|
sourceSchema := &schemapb.CollectionSchema{Fields: []*schemapb.FieldSchema{makeField(schemapb.DataType_FloatVector)}}
|
|
insertData, err := testutil.CreateInsertData(sourceSchema, rowCount)
|
|
assert.NoError(t, err)
|
|
floatData := append([]float32(nil), insertData.Data[fieldID].GetDataRows().([]float32)...)
|
|
reader, err := createReader(insertData.Data[fieldID], schemapb.DataType_FloatVector)
|
|
assert.NoError(t, err)
|
|
|
|
for _, tt := range []struct {
|
|
name string
|
|
dataType schemapb.DataType
|
|
expected []byte
|
|
}{
|
|
{"float16", schemapb.DataType_Float16Vector, typeutil.Float32ArrayToFloat16Bytes(floatData)},
|
|
{"bfloat16", schemapb.DataType_BFloat16Vector, typeutil.Float32ArrayToBFloat16Bytes(floatData)},
|
|
} {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
fr, err := NewFieldReader(reader, makeField(tt.dataType), common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
data, validData, err := fr.Next(rowCount)
|
|
assert.NoError(t, err)
|
|
assert.Nil(t, validData)
|
|
assert.Equal(t, tt.expected, data.([]byte))
|
|
})
|
|
reader, err = createReader(insertData.Data[fieldID], schemapb.DataType_FloatVector)
|
|
assert.NoError(t, err)
|
|
}
|
|
})
|
|
t.Run("float64 source", func(t *testing.T) {
|
|
rows := [][dim]float64{
|
|
{0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8},
|
|
{0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6},
|
|
}
|
|
floatData := make([]float32, 0, rowCount*dim)
|
|
for _, row := range rows {
|
|
for _, value := range row {
|
|
floatData = append(floatData, float32(value))
|
|
}
|
|
}
|
|
buf := new(bytes.Buffer)
|
|
err := npyio.Write(buf, rows)
|
|
assert.NoError(t, err)
|
|
|
|
for _, tt := range []struct {
|
|
name string
|
|
dataType schemapb.DataType
|
|
expected []byte
|
|
}{
|
|
{"float16", schemapb.DataType_Float16Vector, typeutil.Float32ArrayToFloat16Bytes(floatData)},
|
|
{"bfloat16", schemapb.DataType_BFloat16Vector, typeutil.Float32ArrayToBFloat16Bytes(floatData)},
|
|
} {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
fr, err := NewFieldReader(bytes.NewReader(buf.Bytes()), makeField(tt.dataType), common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
data, validData, err := fr.Next(rowCount)
|
|
assert.NoError(t, err)
|
|
assert.Nil(t, validData)
|
|
assert.Equal(t, tt.expected, data.([]byte))
|
|
})
|
|
}
|
|
})
|
|
|
|
t.Run("unsupported source type", func(t *testing.T) {
|
|
sourceSchema := &schemapb.CollectionSchema{Fields: []*schemapb.FieldSchema{makeField(schemapb.DataType_Int8Vector)}}
|
|
insertData, err := testutil.CreateInsertData(sourceSchema, rowCount)
|
|
assert.NoError(t, err)
|
|
reader, err := createReader(insertData.Data[fieldID], schemapb.DataType_Int8Vector)
|
|
assert.NoError(t, err)
|
|
|
|
fr, err := NewFieldReader(reader, makeField(schemapb.DataType_Float16Vector), common.DefaultTimezone)
|
|
assert.Error(t, err)
|
|
assert.Nil(t, fr)
|
|
assert.Contains(t, err.Error(), "expected element type")
|
|
})
|
|
}
|
|
|
|
func TestNullableFP16BF16VectorFromFloatNumpyUsesLogicalRows(t *testing.T) {
|
|
const (
|
|
fieldID = int64(100)
|
|
rowCount = 2
|
|
)
|
|
makeField := func(dataType schemapb.DataType, nullable bool, defaultValue *schemapb.ValueField) *schemapb.FieldSchema {
|
|
return &schemapb.FieldSchema{
|
|
FieldID: fieldID,
|
|
Name: "vector",
|
|
DataType: dataType,
|
|
Nullable: nullable,
|
|
DefaultValue: defaultValue,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{Key: "dim", Value: "8"},
|
|
},
|
|
}
|
|
}
|
|
writeRows := func(t *testing.T, rows any) []byte {
|
|
buf := new(bytes.Buffer)
|
|
assert.NoError(t, npyio.Write(buf, rows))
|
|
return buf.Bytes()
|
|
}
|
|
|
|
float32Rows := [][dim]float32{
|
|
{0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8},
|
|
{0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6},
|
|
}
|
|
float64Rows := [][dim]float64{
|
|
{0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8},
|
|
{0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6},
|
|
}
|
|
|
|
for _, tt := range []struct {
|
|
name string
|
|
sourceData []byte
|
|
field *schemapb.FieldSchema
|
|
}{
|
|
{
|
|
name: "nullable float32 to float16",
|
|
sourceData: writeRows(t, float32Rows),
|
|
field: makeField(schemapb.DataType_Float16Vector, true, nil),
|
|
},
|
|
{
|
|
name: "nullable float64 to float16",
|
|
sourceData: writeRows(t, float64Rows),
|
|
field: makeField(schemapb.DataType_Float16Vector, true, nil),
|
|
},
|
|
{
|
|
name: "nullable float32 to bfloat16",
|
|
sourceData: writeRows(t, float32Rows),
|
|
field: makeField(schemapb.DataType_BFloat16Vector, true, nil),
|
|
},
|
|
{
|
|
name: "nullable float64 to bfloat16",
|
|
sourceData: writeRows(t, float64Rows),
|
|
field: makeField(schemapb.DataType_BFloat16Vector, true, nil),
|
|
},
|
|
{
|
|
name: "default float32 to float16",
|
|
sourceData: writeRows(t, float32Rows),
|
|
field: makeField(schemapb.DataType_Float16Vector, false, &schemapb.ValueField{}),
|
|
},
|
|
{
|
|
name: "default float64 to bfloat16",
|
|
sourceData: writeRows(t, float64Rows),
|
|
field: makeField(schemapb.DataType_BFloat16Vector, false, &schemapb.ValueField{}),
|
|
},
|
|
} {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
fr, err := NewFieldReader(bytes.NewReader(tt.sourceData), tt.field, common.DefaultTimezone)
|
|
assert.NoError(t, err)
|
|
|
|
data, validData, err := fr.Next(rowCount)
|
|
|
|
assert.NoError(t, err)
|
|
assert.Len(t, data.([]byte), rowCount*dim*2)
|
|
assert.Equal(t, []bool{true, true}, validData.([]bool))
|
|
})
|
|
}
|
|
}
|
|
|
|
func TestNumpyValidateHeaderError(t *testing.T) {
|
|
tests := []struct {
|
|
name string
|
|
numpyType schemapb.DataType
|
|
fieldType schemapb.DataType
|
|
}{
|
|
{
|
|
name: "bool numpy int8 field",
|
|
numpyType: schemapb.DataType_Bool,
|
|
fieldType: schemapb.DataType_Int8,
|
|
},
|
|
{
|
|
name: "bool numpy int16 field",
|
|
numpyType: schemapb.DataType_Bool,
|
|
fieldType: schemapb.DataType_Int16,
|
|
},
|
|
{
|
|
name: "float numpy int32 field",
|
|
numpyType: schemapb.DataType_Float,
|
|
fieldType: schemapb.DataType_Int32,
|
|
},
|
|
{
|
|
name: "double numpy int64 field",
|
|
numpyType: schemapb.DataType_Double,
|
|
fieldType: schemapb.DataType_Int64,
|
|
},
|
|
{
|
|
name: "int8 numpy float field",
|
|
numpyType: schemapb.DataType_Int8,
|
|
fieldType: schemapb.DataType_Float,
|
|
},
|
|
{
|
|
name: "bool numpy double field",
|
|
numpyType: schemapb.DataType_Bool,
|
|
fieldType: schemapb.DataType_Double,
|
|
},
|
|
{
|
|
name: "bool numpy varchar field",
|
|
numpyType: schemapb.DataType_Bool,
|
|
fieldType: schemapb.DataType_VarChar,
|
|
},
|
|
{
|
|
name: "bin vector numpy float vector field",
|
|
numpyType: schemapb.DataType_BinaryVector,
|
|
fieldType: schemapb.DataType_FloatVector,
|
|
},
|
|
{
|
|
name: "float vector numpy bin vector field",
|
|
numpyType: schemapb.DataType_FloatVector,
|
|
fieldType: schemapb.DataType_BinaryVector,
|
|
},
|
|
{
|
|
name: "bin vector numpy int8 vector field",
|
|
numpyType: schemapb.DataType_BinaryVector,
|
|
fieldType: schemapb.DataType_Int8Vector,
|
|
},
|
|
{
|
|
name: "int8 vector numpy float16 vector field",
|
|
numpyType: schemapb.DataType_Int8Vector,
|
|
fieldType: schemapb.DataType_Float16Vector,
|
|
},
|
|
{
|
|
name: "int8 vector dim error",
|
|
numpyType: schemapb.DataType_Int8Vector,
|
|
fieldType: schemapb.DataType_Int8Vector,
|
|
},
|
|
{
|
|
name: "bin vector dim error",
|
|
numpyType: schemapb.DataType_BinaryVector,
|
|
fieldType: schemapb.DataType_BinaryVector,
|
|
},
|
|
{
|
|
name: "float vector dim error",
|
|
numpyType: schemapb.DataType_FloatVector,
|
|
fieldType: schemapb.DataType_FloatVector,
|
|
},
|
|
{
|
|
name: "bfloat16 vector dim error",
|
|
numpyType: schemapb.DataType_BFloat16Vector,
|
|
fieldType: schemapb.DataType_BFloat16Vector,
|
|
},
|
|
{
|
|
name: "float vector shape error",
|
|
numpyType: schemapb.DataType_Float,
|
|
fieldType: schemapb.DataType_FloatVector,
|
|
},
|
|
{
|
|
name: "int8 vector shape error",
|
|
numpyType: schemapb.DataType_Int8,
|
|
fieldType: schemapb.DataType_Int8Vector,
|
|
},
|
|
{
|
|
name: "sparse vector not support",
|
|
numpyType: schemapb.DataType_Int8,
|
|
fieldType: schemapb.DataType_SparseFloatVector,
|
|
},
|
|
}
|
|
|
|
fieldID := int64(100)
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
schema := &schemapb.CollectionSchema{
|
|
Fields: []*schemapb.FieldSchema{
|
|
{
|
|
FieldID: fieldID,
|
|
Name: "dummy",
|
|
DataType: tt.numpyType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "256",
|
|
},
|
|
{
|
|
Key: "dim",
|
|
Value: "16",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
insertData, err := testutil.CreateInsertData(schema, 3)
|
|
assert.NoError(t, err)
|
|
fieldData := insertData.Data[fieldID]
|
|
reader, err := createReader(fieldData, tt.numpyType)
|
|
assert.NoError(t, err)
|
|
|
|
schema.Fields[0].DataType = tt.fieldType
|
|
schema.Fields[0].TypeParams[1].Value = "32"
|
|
fieldReader, err := NewFieldReader(reader, schema.Fields[0], common.DefaultTimezone)
|
|
assert.Error(t, err)
|
|
assert.Nil(t, fieldReader)
|
|
})
|
|
}
|
|
}
|