milvus/internal/util/importutilv2/numpy/field_reader_test.go

458 lines
12 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/stretchr/testify/assert"
"golang.org/x/text/encoding/simplifiedchinese"
"golang.org/x/text/transform"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/util/testutil"
"github.com/milvus-io/milvus/pkg/v2/util/merr"
)
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)
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)
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)
}
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"}},
})
assert.Error(t, err)
// read values error
tests := []struct {
name string
fieldSchema *schemapb.FieldSchema
}{
{
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,
},
},
}
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)
fieldReader, err := NewFieldReader(reader, tt.fieldSchema)
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 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])
assert.Error(t, err)
assert.Nil(t, fieldReader)
})
}
}