milvus/internal/util/importutilv2/numpy/util.go
2024-05-07 11:21:29 +08:00

253 lines
8.2 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 (
"encoding/binary"
"fmt"
"reflect"
"regexp"
"strconv"
"unicode/utf8"
"github.com/sbinet/npyio"
"github.com/sbinet/npyio/npy"
"golang.org/x/text/encoding/unicode"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
var (
reStrPre = regexp.MustCompile(`^[|]*?(\d.*)[Sa]$`)
reStrPost = regexp.MustCompile(`^[|]*?[Sa](\d.*)$`)
reUniPre = regexp.MustCompile(`^[<|>]*?(\d.*)U$`)
reUniPost = regexp.MustCompile(`^[<|>]*?U(\d.*)$`)
)
func stringLen(dtype string) (int, bool, error) {
var utf bool
switch {
case reStrPre.MatchString(dtype), reStrPost.MatchString(dtype):
utf = false
case reUniPre.MatchString(dtype), reUniPost.MatchString(dtype):
utf = true
}
if m := reStrPre.FindStringSubmatch(dtype); m != nil {
v, err := strconv.Atoi(m[1])
if err != nil {
return 0, false, err
}
return v, utf, nil
}
if m := reStrPost.FindStringSubmatch(dtype); m != nil {
v, err := strconv.Atoi(m[1])
if err != nil {
return 0, false, err
}
return v, utf, nil
}
if m := reUniPre.FindStringSubmatch(dtype); m != nil {
v, err := strconv.Atoi(m[1])
if err != nil {
return 0, false, err
}
return v, utf, nil
}
if m := reUniPost.FindStringSubmatch(dtype); m != nil {
v, err := strconv.Atoi(m[1])
if err != nil {
return 0, false, err
}
return v, utf, nil
}
return 0, false, merr.WrapErrImportFailed(fmt.Sprintf("dtype '%s' of numpy file is not varchar data type", dtype))
}
func decodeUtf32(src []byte, order binary.ByteOrder) (string, error) {
if len(src)%4 != 0 {
return "", merr.WrapErrImportFailed(fmt.Sprintf("invalid utf32 bytes length %d, the byte array length should be multiple of 4", len(src)))
}
var str string
for len(src) > 0 {
// check the high bytes, if high bytes are 0, the UNICODE is less than U+FFFF, we can use unicode.UTF16 to decode
isUtf16 := false
var lowbytesPosition int
uOrder := unicode.LittleEndian
if order == binary.LittleEndian {
if src[2] == 0 && src[3] == 0 {
isUtf16 = true
}
lowbytesPosition = 0
} else {
if src[0] == 0 && src[1] == 0 {
isUtf16 = true
}
lowbytesPosition = 2
uOrder = unicode.BigEndian
}
if isUtf16 {
// use unicode.UTF16 to decode the low bytes to utf8
// utf32 and utf16 is same if the unicode code is less than 65535
if src[lowbytesPosition] != 0 || src[lowbytesPosition+1] != 0 {
decoder := unicode.UTF16(uOrder, unicode.IgnoreBOM).NewDecoder()
res, err := decoder.Bytes(src[lowbytesPosition : lowbytesPosition+2])
if err != nil {
return "", merr.WrapErrImportFailed(fmt.Sprintf("failed to decode utf32 binary bytes, error: %v", err))
}
str += string(res)
}
} else {
// convert the 4 bytes to a unicode and encode to utf8
// Golang strongly opposes utf32 coding, this kind of encoding has been excluded from standard lib
var x uint32
if order == binary.LittleEndian {
x = uint32(src[3])<<24 | uint32(src[2])<<16 | uint32(src[1])<<8 | uint32(src[0])
} else {
x = uint32(src[0])<<24 | uint32(src[1])<<16 | uint32(src[2])<<8 | uint32(src[3])
}
r := rune(x)
utf8Code := make([]byte, 4)
utf8.EncodeRune(utf8Code, r)
if r == utf8.RuneError {
return "", merr.WrapErrImportFailed(fmt.Sprintf("failed to convert 4 bytes unicode %d to utf8 rune", x))
}
str += string(utf8Code)
}
src = src[4:]
}
return str, nil
}
// convertNumpyType gets data type converted from numpy header description,
// for vector field, the type is int8(binary vector) or float32(float vector)
func convertNumpyType(typeStr string) (schemapb.DataType, error) {
switch typeStr {
case "b1", "<b1", "|b1", "bool":
return schemapb.DataType_Bool, nil
case "u1", "<u1", "|u1", "uint8": // binary vector data type is uint8
return schemapb.DataType_BinaryVector, nil
case "i1", "<i1", "|i1", ">i1", "int8":
return schemapb.DataType_Int8, nil
case "i2", "<i2", "|i2", ">i2", "int16":
return schemapb.DataType_Int16, nil
case "i4", "<i4", "|i4", ">i4", "int32":
return schemapb.DataType_Int32, nil
case "i8", "<i8", "|i8", ">i8", "int64":
return schemapb.DataType_Int64, nil
case "f4", "<f4", "|f4", ">f4", "float32":
return schemapb.DataType_Float, nil
case "f8", "<f8", "|f8", ">f8", "float64":
return schemapb.DataType_Double, nil
default:
rt := npyio.TypeFrom(typeStr)
if rt == reflect.TypeOf((*string)(nil)).Elem() {
// Note: JSON field and VARCHAR field are using string type numpy
return schemapb.DataType_VarChar, nil
}
return schemapb.DataType_None, merr.WrapErrImportFailed(
fmt.Sprintf("the numpy file dtype '%s' is not supported", typeStr))
}
}
func wrapElementTypeError(eleType schemapb.DataType, field *schemapb.FieldSchema) error {
return merr.WrapErrImportFailed(fmt.Sprintf("expected element type '%s' for field '%s', got type '%T'",
field.GetDataType().String(), field.GetName(), eleType))
}
func wrapDimError(actualDim int, expectDim int, field *schemapb.FieldSchema) error {
return merr.WrapErrImportFailed(fmt.Sprintf("expected dim '%d' for %s field '%s', got dim '%d'",
expectDim, field.GetDataType().String(), field.GetName(), actualDim))
}
func wrapShapeError(actualShape int, expectShape int, field *schemapb.FieldSchema) error {
return merr.WrapErrImportFailed(fmt.Sprintf("expected shape '%d' for %s field '%s', got shape '%d'",
expectShape, field.GetDataType().String(), field.GetName(), actualShape))
}
func validateHeader(npyReader *npy.Reader, field *schemapb.FieldSchema, dim int) error {
elementType, err := convertNumpyType(npyReader.Header.Descr.Type)
if err != nil {
return err
}
shape := npyReader.Header.Descr.Shape
switch field.GetDataType() {
case schemapb.DataType_FloatVector:
if elementType != schemapb.DataType_Float && elementType != schemapb.DataType_Double {
return wrapElementTypeError(elementType, field)
}
if len(shape) != 2 {
return wrapShapeError(len(shape), 2, field)
}
if shape[1] != dim {
return wrapDimError(shape[1], dim, field)
}
case schemapb.DataType_Float16Vector, schemapb.DataType_BFloat16Vector:
// TODO: need a better way to check the element type for float16/bfloat16
if elementType != schemapb.DataType_BinaryVector {
return wrapElementTypeError(elementType, field)
}
if len(shape) != 2 {
return wrapShapeError(len(shape), 2, field)
}
if shape[1] != dim*2 {
return wrapDimError(shape[1], dim, field)
}
case schemapb.DataType_BinaryVector:
if elementType != schemapb.DataType_BinaryVector {
return wrapElementTypeError(elementType, field)
}
if len(shape) != 2 {
return wrapShapeError(len(shape), 2, field)
}
if shape[1] != dim/8 {
return wrapDimError(shape[1]*8, dim, field)
}
case schemapb.DataType_VarChar, schemapb.DataType_JSON:
if len(shape) != 1 {
return wrapShapeError(len(shape), 1, field)
}
case schemapb.DataType_None, schemapb.DataType_Array:
return merr.WrapErrImportFailed(fmt.Sprintf("unsupported data type: %s", field.GetDataType().String()))
default:
if elementType != field.GetDataType() {
return wrapElementTypeError(elementType, field)
}
if len(shape) != 1 {
return wrapShapeError(len(shape), 1, field)
}
}
return nil
}
func calcRowCount(bufferSize int, schema *schemapb.CollectionSchema) (int64, error) {
sizePerRecord, err := typeutil.EstimateMaxSizePerRecord(schema)
if err != nil {
return 0, err
}
rowCount := int64(bufferSize) / int64(sizePerRecord)
return rowCount, nil
}