// 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 storage

import (
	"bytes"
	"encoding/binary"
	"encoding/json"
	"errors"
	"fmt"
	"math/rand"
	"strconv"
	"testing"

	"github.com/milvus-io/milvus/internal/mq/msgstream"
	"github.com/milvus-io/milvus/internal/proto/internalpb"
	"github.com/milvus-io/milvus/internal/proto/schemapb"

	"github.com/milvus-io/milvus/internal/proto/commonpb"

	"github.com/milvus-io/milvus/internal/common"
	"github.com/milvus-io/milvus/internal/util/funcutil"
	"github.com/milvus-io/milvus/internal/util/uniquegenerator"

	"github.com/milvus-io/milvus/internal/kv"

	"github.com/stretchr/testify/assert"

	memkv "github.com/milvus-io/milvus/internal/kv/mem"
)

type mockLessHeaderDataKV struct {
	kv.BaseKV
}

func (kv *mockLessHeaderDataKV) LoadPartial(key string, start, end int64) ([]byte, error) {
	header := &baseEventHeader{}

	headerSize := binary.Size(header)
	mockSize := headerSize - 1

	ret := make([]byte, mockSize)
	_, _ = rand.Read(ret)
	return ret, nil
}

func (kv *mockLessHeaderDataKV) GetSize(key string) (int64, error) {
	return 0, errors.New("less header")
}

func newMockLessHeaderDataKV() *mockLessHeaderDataKV {
	return &mockLessHeaderDataKV{}
}

type mockWrongHeaderDataKV struct {
	kv.BaseKV
}

func (kv *mockWrongHeaderDataKV) LoadPartial(key string, start, end int64) ([]byte, error) {
	header := &baseEventHeader{}

	header.EventLength = -1
	header.NextPosition = -1

	buffer := bytes.Buffer{}
	_ = binary.Write(&buffer, common.Endian, header)

	return buffer.Bytes(), nil
}

func (kv *mockWrongHeaderDataKV) GetSize(key string) (int64, error) {
	return 0, errors.New("wrong header")
}

func newMockWrongHeaderDataKV() kv.DataKV {
	return &mockWrongHeaderDataKV{}
}

func TestGetBinlogSize(t *testing.T) {
	memoryKV := memkv.NewMemoryKV()
	defer memoryKV.Close()

	key := "TestGetBinlogSize"

	var size int64
	var err error

	// key not in memoryKV
	size, err = GetBinlogSize(memoryKV, key)
	assert.Error(t, err)
	assert.Zero(t, size)

	// normal binlog key, for example, index binlog
	indexBuildID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	version := int64(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	collectionID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	partitionID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	segmentID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	fieldID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	indexName := funcutil.GenRandomStr()
	indexID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	indexParams := make(map[string]string)
	indexParams["index_type"] = "IVF_FLAT"
	datas := []*Blob{
		{
			Key:   "ivf1",
			Value: []byte{1, 2, 3},
		},
		{
			Key:   "ivf2",
			Value: []byte{4, 5, 6},
		},
		{
			Key:   "large",
			Value: []byte(funcutil.RandomString(maxLengthPerRowOfIndexFile + 1)),
		},
	}

	codec := NewIndexFileBinlogCodec()

	serializedBlobs, err := codec.Serialize(indexBuildID, version, collectionID, partitionID, segmentID, fieldID, indexParams, indexName, indexID, datas)
	assert.Nil(t, err)

	for _, blob := range serializedBlobs {
		err = memoryKV.Save(blob.Key, string(blob.Value))
		assert.Nil(t, err)

		size, err = GetBinlogSize(memoryKV, blob.Key)
		assert.Nil(t, err)
		assert.Equal(t, size, int64(len(blob.Value)))
	}
}

// cover case that failed to read event header
func TestGetBinlogSize_less_header(t *testing.T) {
	mockKV := newMockLessHeaderDataKV()

	key := "TestGetBinlogSize_less_header"

	_, err := GetBinlogSize(mockKV, key)
	assert.Error(t, err)
}

// cover case that file not in binlog format
func TestGetBinlogSize_not_in_binlog_format(t *testing.T) {
	mockKV := newMockWrongHeaderDataKV()

	key := "TestGetBinlogSize_not_in_binlog_format"

	_, err := GetBinlogSize(mockKV, key)
	assert.Error(t, err)
}

func TestEstimateMemorySize(t *testing.T) {
	memoryKV := memkv.NewMemoryKV()
	defer memoryKV.Close()

	key := "TestEstimateMemorySize"

	var size int64
	var err error

	// key not in memoryKV
	_, err = EstimateMemorySize(memoryKV, key)
	assert.Error(t, err)

	// normal binlog key, for example, index binlog
	indexBuildID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	version := int64(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	collectionID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	partitionID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	segmentID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	fieldID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	indexName := funcutil.GenRandomStr()
	indexID := UniqueID(uniquegenerator.GetUniqueIntGeneratorIns().GetInt())
	indexParams := make(map[string]string)
	indexParams["index_type"] = "IVF_FLAT"
	datas := []*Blob{
		{
			Key:   "ivf1",
			Value: []byte{1, 2, 3},
		},
		{
			Key:   "ivf2",
			Value: []byte{4, 5, 6},
		},
		{
			Key:   "large",
			Value: []byte(funcutil.RandomString(maxLengthPerRowOfIndexFile + 1)),
		},
	}

	codec := NewIndexFileBinlogCodec()

	serializedBlobs, err := codec.Serialize(indexBuildID, version, collectionID, partitionID, segmentID, fieldID, indexParams, indexName, indexID, datas)
	assert.Nil(t, err)

	for _, blob := range serializedBlobs {
		err = memoryKV.Save(blob.Key, string(blob.Value))
		assert.Nil(t, err)

		buf := bytes.NewBuffer(blob.Value)

		_, _ = readMagicNumber(buf)
		desc, _ := ReadDescriptorEvent(buf)

		size, err = EstimateMemorySize(memoryKV, blob.Key)
		assert.Nil(t, err)
		assert.Equal(t, fmt.Sprintf("%v", desc.Extras[originalSizeKey]), fmt.Sprintf("%v", size))
	}
}

// cover case that failed to read event header
func TestEstimateMemorySize_less_header(t *testing.T) {
	mockKV := newMockLessHeaderDataKV()

	key := "TestEstimateMemorySize_less_header"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

// cover case that file not in binlog format
func TestEstimateMemorySize_not_in_binlog_format(t *testing.T) {
	mockKV := newMockWrongHeaderDataKV()

	key := "TestEstimateMemorySize_not_in_binlog_format"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

type mockFailedToGetDescDataKV struct {
	kv.BaseKV
}

func (kv *mockFailedToGetDescDataKV) LoadPartial(key string, start, end int64) ([]byte, error) {
	header := &eventHeader{}
	header.EventLength = 20
	headerSize := binary.Size(header)

	if end-start > int64(headerSize) {
		return nil, errors.New("mock failed to get desc data")
	}

	buf := bytes.Buffer{}
	_ = binary.Write(&buf, common.Endian, header)
	return buf.Bytes(), nil
}

func (kv *mockFailedToGetDescDataKV) GetSize(key string) (int64, error) {
	return 0, nil
}

func newMockFailedToGetDescDataKV() *mockFailedToGetDescDataKV {
	return &mockFailedToGetDescDataKV{}
}

// cover case that failed to get descriptor event content
func TestEstimateMemorySize_failed_to_load_desc(t *testing.T) {
	mockKV := newMockFailedToGetDescDataKV()

	key := "TestEstimateMemorySize_failed_to_load_desc"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

type mockLessDescDataKV struct {
	kv.BaseKV
}

func (kv *mockLessDescDataKV) LoadPartial(key string, start, end int64) ([]byte, error) {
	header := &baseEventHeader{}
	header.EventLength = 20

	buffer := bytes.Buffer{}
	_ = binary.Write(&buffer, common.Endian, header)

	// no event data
	return buffer.Bytes(), nil

	/*
		desc := &descriptorEvent{}
		desc.ExtraLength = 2
		desc.ExtraBytes = []byte{1, 2}
		buffer := bytes.Buffer{}
		_ = binary.Write(&buffer, common.Endian, desc)
		// extra not in json format
		return buffer.Bytes(), nil
	*/
}

func (kv *mockLessDescDataKV) GetSize(key string) (int64, error) {
	return 0, nil
}

func newMockLessDescDataKV() *mockLessDescDataKV {
	return &mockLessDescDataKV{}
}

func TestEstimateMemorySize_less_desc_data(t *testing.T) {
	mockKV := newMockLessDescDataKV()

	key := "TestEstimateMemorySize_less_desc_data"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

type mockOriginalSizeDataKV struct {
	kv.BaseKV
	impl func(key string, start, end int64) ([]byte, error)
}

func (kv *mockOriginalSizeDataKV) LoadPartial(key string, start, end int64) ([]byte, error) {
	if kv.impl != nil {
		return kv.impl(key, start, end)
	}
	return nil, nil
}

func (kv *mockOriginalSizeDataKV) GetSize(key string) (int64, error) {
	return 0, nil
}

func newMockOriginalSizeDataKV() *mockOriginalSizeDataKV {
	return &mockOriginalSizeDataKV{}
}

func TestEstimateMemorySize_no_original_size(t *testing.T) {
	mockKV := newMockOriginalSizeDataKV()
	mockKV.impl = func(key string, start, end int64) ([]byte, error) {
		desc := &descriptorEvent{}
		desc.descriptorEventHeader.EventLength = 20
		desc.descriptorEventData = *newDescriptorEventData()
		extra := make(map[string]interface{})
		extra["key"] = "value"
		extraBytes, _ := json.Marshal(extra)
		desc.ExtraBytes = extraBytes
		desc.ExtraLength = int32(len(extraBytes))
		buf := bytes.Buffer{}
		_ = desc.descriptorEventHeader.Write(&buf)
		_ = desc.descriptorEventData.Write(&buf)
		return buf.Bytes(), nil
	}

	key := "TestEstimateMemorySize_no_original_size"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

func TestEstimateMemorySize_cannot_convert_original_size_to_int(t *testing.T) {
	mockKV := newMockOriginalSizeDataKV()
	mockKV.impl = func(key string, start, end int64) ([]byte, error) {
		desc := &descriptorEvent{}
		desc.descriptorEventHeader.EventLength = 20
		desc.descriptorEventData = *newDescriptorEventData()
		extra := make(map[string]interface{})
		extra[originalSizeKey] = "value"
		extraBytes, _ := json.Marshal(extra)
		desc.ExtraBytes = extraBytes
		desc.ExtraLength = int32(len(extraBytes))
		buf := bytes.Buffer{}
		_ = desc.descriptorEventHeader.Write(&buf)
		_ = desc.descriptorEventData.Write(&buf)
		return buf.Bytes(), nil
	}

	key := "TestEstimateMemorySize_cannot_convert_original_size_to_int"

	_, err := EstimateMemorySize(mockKV, key)
	assert.Error(t, err)
}

//////////////////////////////////////////////////////////////////////////////////////////////////

func TestCheckTsField(t *testing.T) {
	data := &InsertData{
		Data: make(map[FieldID]FieldData),
	}
	assert.False(t, checkTsField(data))

	data.Data[common.TimeStampField] = &BoolFieldData{}
	assert.False(t, checkTsField(data))

	data.Data[common.TimeStampField] = &Int64FieldData{}
	assert.True(t, checkTsField(data))
}

func TestCheckRowIDField(t *testing.T) {
	data := &InsertData{
		Data: make(map[FieldID]FieldData),
	}
	assert.False(t, checkRowIDField(data))

	data.Data[common.RowIDField] = &BoolFieldData{}
	assert.False(t, checkRowIDField(data))

	data.Data[common.RowIDField] = &Int64FieldData{}
	assert.True(t, checkRowIDField(data))
}

func TestCheckNumRows(t *testing.T) {
	assert.True(t, checkNumRows())

	f1 := &Int64FieldData{
		NumRows: nil,
		Data:    []int64{1, 2, 3},
	}
	f2 := &Int64FieldData{
		NumRows: nil,
		Data:    []int64{1, 2, 3},
	}
	f3 := &Int64FieldData{
		NumRows: nil,
		Data:    []int64{1, 2, 3, 4},
	}

	assert.True(t, checkNumRows(f1, f2))
	assert.False(t, checkNumRows(f1, f3))
	assert.False(t, checkNumRows(f2, f3))
	assert.False(t, checkNumRows(f1, f2, f3))
}

func TestSortFieldDataList(t *testing.T) {
	f1 := &Int16FieldData{
		NumRows: nil,
		Data:    []int16{1, 2, 3},
	}
	f2 := &Int32FieldData{
		NumRows: nil,
		Data:    []int32{4, 5, 6},
	}
	f3 := &Int64FieldData{
		NumRows: nil,
		Data:    []int64{7, 8, 9},
	}

	ls := fieldDataList{
		IDs:   []FieldID{1, 3, 2},
		datas: []FieldData{f1, f3, f2},
	}

	assert.Equal(t, 3, ls.Len())
	sortFieldDataList(ls)
	assert.ElementsMatch(t, []FieldID{1, 2, 3}, ls.IDs)
	assert.ElementsMatch(t, []FieldData{f1, f2, f3}, ls.datas)
}

func TestTransferColumnBasedInsertDataToRowBased(t *testing.T) {
	var err error

	data := &InsertData{
		Data: make(map[FieldID]FieldData),
	}

	// no ts
	_, _, _, err = TransferColumnBasedInsertDataToRowBased(data)
	assert.Error(t, err)

	tss := &Int64FieldData{
		Data: []int64{1, 2, 3},
	}
	data.Data[common.TimeStampField] = tss

	// no row ids
	_, _, _, err = TransferColumnBasedInsertDataToRowBased(data)
	assert.Error(t, err)

	rowIdsF := &Int64FieldData{
		Data: []int64{1, 2, 3, 4},
	}
	data.Data[common.RowIDField] = rowIdsF

	// row num mismatch
	_, _, _, err = TransferColumnBasedInsertDataToRowBased(data)
	assert.Error(t, err)

	data.Data[common.RowIDField] = &Int64FieldData{
		Data: []int64{1, 2, 3},
	}

	f1 := &BoolFieldData{
		Data: []bool{true, false, true},
	}
	f2 := &Int8FieldData{
		Data: []int8{0, 0xf, 0x1f},
	}
	f3 := &Int16FieldData{
		Data: []int16{0, 0xff, 0x1fff},
	}
	f4 := &Int32FieldData{
		Data: []int32{0, 0xffff, 0x1fffffff},
	}
	f5 := &Int64FieldData{
		Data: []int64{0, 0xffffffff, 0x1fffffffffffffff},
	}
	f6 := &FloatFieldData{
		Data: []float32{0, 0, 0},
	}
	f7 := &DoubleFieldData{
		Data: []float64{0, 0, 0},
	}
	// maybe we cannot support string now, no matter what the length of string is fixed or not.
	// f8 := &StringFieldData{
	// 	Data: []string{"1", "2", "3"},
	// }
	f9 := &BinaryVectorFieldData{
		Dim:  8,
		Data: []byte{1, 2, 3},
	}
	f10 := &FloatVectorFieldData{
		Dim:  1,
		Data: []float32{0, 0, 0},
	}

	data.Data[101] = f1
	data.Data[102] = f2
	data.Data[103] = f3
	data.Data[104] = f4
	data.Data[105] = f5
	data.Data[106] = f6
	data.Data[107] = f7
	// data.Data[108] = f8
	data.Data[109] = f9
	data.Data[110] = f10

	utss, rowIds, rows, err := TransferColumnBasedInsertDataToRowBased(data)
	assert.NoError(t, err)
	assert.ElementsMatch(t, []uint64{1, 2, 3}, utss)
	assert.ElementsMatch(t, []int64{1, 2, 3}, rowIds)
	assert.Equal(t, 3, len(rows))
	// b := []byte("1")[0]
	if common.Endian == binary.LittleEndian {
		// low byte in high address

		assert.ElementsMatch(t,
			[]byte{
				1,    // true
				0,    // 0
				0, 0, // 0
				0, 0, 0, 0, // 0
				0, 0, 0, 0, 0, 0, 0, 0, // 0
				0, 0, 0, 0, // 0
				0, 0, 0, 0, 0, 0, 0, 0, // 0
				// b + 1, // "1"
				1,          // 1
				0, 0, 0, 0, // 0
			},
			rows[0].Value)
		assert.ElementsMatch(t,
			[]byte{
				0,       // false
				0xf,     // 0xf
				0, 0xff, // 0xff
				0, 0, 0xff, 0xff, // 0xffff
				0, 0, 0, 0, 0xff, 0xff, 0xff, 0xff, // 0xffffffff
				0, 0, 0, 0, // 0
				0, 0, 0, 0, 0, 0, 0, 0, // 0
				// b + 2, // "2"
				2,          // 2
				0, 0, 0, 0, // 0
			},
			rows[1].Value)
		assert.ElementsMatch(t,
			[]byte{
				1,          // true
				0x1f,       // 0x1f
				0xff, 0x1f, // 0x1fff
				0xff, 0xff, 0xff, 0x1f, // 0x1fffffff
				0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x1f, // 0x1fffffffffffffff
				0, 0, 0, 0, // 0
				0, 0, 0, 0, 0, 0, 0, 0, // 0
				// b + 3, // "3"
				3,          // 3
				0, 0, 0, 0, // 0
			},
			rows[2].Value)
	}
}

func TestGetDimFromParams(t *testing.T) {
	dim := 8
	params1 := []*commonpb.KeyValuePair{
		{
			Key:   "dim",
			Value: strconv.Itoa(dim),
		},
	}
	got, err := GetDimFromParams(params1)
	assert.NoError(t, err)
	assert.Equal(t, dim, got)

	params2 := []*commonpb.KeyValuePair{
		{
			Key:   "dim",
			Value: "not in int format",
		},
	}
	_, err = GetDimFromParams(params2)
	assert.Error(t, err)

	params3 := []*commonpb.KeyValuePair{
		{
			Key:   "not dim",
			Value: strconv.Itoa(dim),
		},
	}
	_, err = GetDimFromParams(params3)
	assert.Error(t, err)
}

func TestReadBinary(t *testing.T) {
	reader := bytes.NewReader(
		[]byte{
			1,          // true
			0x1f,       // 0x1f
			0xff, 0x1f, // 0x1fff
			0xff, 0xff, 0xff, 0x1f, // 0x1fffffff
			0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0x1f, // 0x1fffffffffffffff
			// hard to compare float value
			// 0, 0, 0, 0, // 0
			// 0, 0, 0, 0, 0, 0, 0, 0, // 0
			// b + 3, // "3"
			3, // 3
			// 0, 0, 0, 0, // 0
		},
	)

	if common.Endian == binary.LittleEndian {
		var b bool
		ReadBinary(reader, &b, schemapb.DataType_Bool)
		assert.True(t, b)

		var i8 int8
		ReadBinary(reader, &i8, schemapb.DataType_Int8)
		assert.Equal(t, int8(0x1f), i8)

		var i16 int16
		ReadBinary(reader, &i16, schemapb.DataType_Int16)
		assert.Equal(t, int16(0x1fff), i16)

		var i32 int32
		ReadBinary(reader, &i32, schemapb.DataType_Int32)
		assert.Equal(t, int32(0x1fffffff), i32)

		var i64 int64
		ReadBinary(reader, &i64, schemapb.DataType_Int64)
		assert.Equal(t, int64(0x1fffffffffffffff), i64)

		bvec := make([]byte, 1)
		ReadBinary(reader, &bvec, schemapb.DataType_BinaryVector)
		assert.Equal(t, []byte{3}, bvec)

		// should print error here, no content in reader.
		ReadBinary(reader, &bvec, schemapb.DataType_BinaryVector)
	}
}

func genAllFieldsSchema(fVecDim, bVecDim int) (schema *schemapb.CollectionSchema, pkFieldID UniqueID, fieldIDs []UniqueID) {
	schema = &schemapb.CollectionSchema{
		Name:        "all_fields_schema",
		Description: "all_fields_schema",
		AutoID:      false,
		Fields: []*schemapb.FieldSchema{
			{
				DataType:     schemapb.DataType_Int64,
				IsPrimaryKey: true,
			},
			{
				DataType: schemapb.DataType_Bool,
			},
			{
				DataType: schemapb.DataType_Int8,
			},
			{
				DataType: schemapb.DataType_Int16,
			},
			{
				DataType: schemapb.DataType_Int32,
			},
			{
				DataType: schemapb.DataType_Float,
			},
			{
				DataType: schemapb.DataType_Double,
			},
			{
				DataType: schemapb.DataType_FloatVector,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "dim",
						Value: strconv.Itoa(fVecDim),
					},
				},
			},
			{
				DataType: schemapb.DataType_BinaryVector,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "dim",
						Value: strconv.Itoa(bVecDim),
					},
				},
			},
		},
	}
	fieldIDs = make([]UniqueID, 0)
	for idx := range schema.Fields {
		fID := int64(common.StartOfUserFieldID + idx)
		schema.Fields[idx].FieldID = fID
		if schema.Fields[idx].IsPrimaryKey {
			pkFieldID = fID
		}
		fieldIDs = append(fieldIDs, fID)
	}
	schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
		FieldID:      common.RowIDField,
		Name:         common.RowIDFieldName,
		IsPrimaryKey: false,
		Description:  "",
		DataType:     schemapb.DataType_Int64,
	})
	schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
		FieldID:      common.TimeStampField,
		Name:         common.TimeStampFieldName,
		IsPrimaryKey: false,
		Description:  "",
		DataType:     schemapb.DataType_Int64,
	})
	return schema, pkFieldID, fieldIDs
}

func generateFloatVectors(numRows, dim int) []float32 {
	total := numRows * dim
	ret := make([]float32, 0, total)
	for i := 0; i < total; i++ {
		ret = append(ret, rand.Float32())
	}
	return ret
}

func generateBinaryVectors(numRows, dim int) []byte {
	total := (numRows * dim) / 8
	ret := make([]byte, total)
	_, err := rand.Read(ret)
	if err != nil {
		panic(err)
	}
	return ret
}

func generateBoolArray(numRows int) []bool {
	ret := make([]bool, 0, numRows)
	for i := 0; i < numRows; i++ {
		ret = append(ret, rand.Int()%2 == 0)
	}
	return ret
}

func generateInt32Array(numRows int) []int32 {
	ret := make([]int32, 0, numRows)
	for i := 0; i < numRows; i++ {
		ret = append(ret, int32(rand.Int()))
	}
	return ret
}

func generateInt64Array(numRows int) []int64 {
	ret := make([]int64, 0, numRows)
	for i := 0; i < numRows; i++ {
		ret = append(ret, int64(rand.Int()))
	}
	return ret
}

func generateFloat32Array(numRows int) []float32 {
	ret := make([]float32, 0, numRows)
	for i := 0; i < numRows; i++ {
		ret = append(ret, rand.Float32())
	}
	return ret
}

func generateFloat64Array(numRows int) []float64 {
	ret := make([]float64, 0, numRows)
	for i := 0; i < numRows; i++ {
		ret = append(ret, rand.Float64())
	}
	return ret
}

func genRowWithAllFields(fVecDim, bVecDim int) (blob *commonpb.Blob, pk int64, row []interface{}) {
	schema, _, _ := genAllFieldsSchema(fVecDim, bVecDim)
	ret := &commonpb.Blob{
		Value: nil,
	}
	row = make([]interface{}, 0)
	for _, field := range schema.Fields {
		var buffer bytes.Buffer
		switch field.DataType {
		case schemapb.DataType_FloatVector:
			fVec := generateFloatVectors(1, fVecDim)
			_ = binary.Write(&buffer, common.Endian, fVec)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, fVec)
		case schemapb.DataType_BinaryVector:
			bVec := generateBinaryVectors(1, bVecDim)
			_ = binary.Write(&buffer, common.Endian, bVec)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, bVec)
		case schemapb.DataType_Bool:
			data := rand.Int()%2 == 0
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		case schemapb.DataType_Int8:
			data := int8(rand.Int())
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		case schemapb.DataType_Int16:
			data := int16(rand.Int())
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		case schemapb.DataType_Int32:
			data := int32(rand.Int())
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		case schemapb.DataType_Int64:
			pk = int64(rand.Int())
			_ = binary.Write(&buffer, common.Endian, pk)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, pk)
		case schemapb.DataType_Float:
			data := rand.Float32()
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		case schemapb.DataType_Double:
			data := rand.Float64()
			_ = binary.Write(&buffer, common.Endian, data)
			ret.Value = append(ret.Value, buffer.Bytes()...)
			row = append(row, data)
		}
	}
	return ret, pk, row
}

func genRowBasedInsertMsg(numRows, fVecDim, bVecDim int) (msg *msgstream.InsertMsg, pks []int64, columns [][]interface{}) {
	msg = &msgstream.InsertMsg{
		BaseMsg: msgstream.BaseMsg{
			Ctx:            nil,
			BeginTimestamp: 0,
			EndTimestamp:   0,
			HashValues:     nil,
			MsgPosition:    nil,
		},
		InsertRequest: internalpb.InsertRequest{
			Base: &commonpb.MsgBase{
				MsgType:   commonpb.MsgType_Insert,
				MsgID:     0,
				Timestamp: 0,
				SourceID:  0,
			},
			RowData: nil,
			Version: internalpb.InsertDataVersion_RowBased,
		},
	}
	pks = make([]int64, 0)
	raws := make([][]interface{}, 0)
	for i := 0; i < numRows; i++ {
		row, pk, raw := genRowWithAllFields(fVecDim, bVecDim)
		msg.InsertRequest.RowData = append(msg.InsertRequest.RowData, row)
		pks = append(pks, pk)
		raws = append(raws, raw)
	}
	numColumns := len(raws[0])
	columns = make([][]interface{}, numColumns)
	for _, raw := range raws {
		for j, data := range raw {
			columns[j] = append(columns[j], data)
		}
	}
	return msg, pks, columns
}

func genColumnBasedInsertMsg(schema *schemapb.CollectionSchema, numRows, fVecDim, bVecDim int) (msg *msgstream.InsertMsg, pks []int64, columns [][]interface{}) {
	msg = &msgstream.InsertMsg{
		BaseMsg: msgstream.BaseMsg{
			Ctx:            nil,
			BeginTimestamp: 0,
			EndTimestamp:   0,
			HashValues:     nil,
			MsgPosition:    nil,
		},
		InsertRequest: internalpb.InsertRequest{
			Base: &commonpb.MsgBase{
				MsgType:   commonpb.MsgType_Insert,
				MsgID:     0,
				Timestamp: 0,
				SourceID:  0,
			},
			FieldsData: nil,
			NumRows:    uint64(numRows),
			Version:    internalpb.InsertDataVersion_ColumnBased,
		},
	}
	pks = make([]int64, 0)
	columns = make([][]interface{}, len(schema.Fields))

	for idx, field := range schema.Fields {
		switch field.DataType {
		case schemapb.DataType_Bool:
			data := generateBoolArray(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_BoolData{
							BoolData: &schemapb.BoolArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], d)
			}
		case schemapb.DataType_Int8:
			data := generateInt32Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_IntData{
							IntData: &schemapb.IntArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], int8(d))
			}
		case schemapb.DataType_Int16:
			data := generateInt32Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_IntData{
							IntData: &schemapb.IntArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], int16(d))
			}
		case schemapb.DataType_Int32:
			data := generateInt32Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_IntData{
							IntData: &schemapb.IntArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], d)
			}
		case schemapb.DataType_Int64:
			data := generateInt64Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_LongData{
							LongData: &schemapb.LongArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], d)
			}
			pks = data
		case schemapb.DataType_Float:
			data := generateFloat32Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_FloatData{
							FloatData: &schemapb.FloatArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], d)
			}
		case schemapb.DataType_Double:
			data := generateFloat64Array(numRows)
			f := &schemapb.FieldData{
				Type:      field.DataType,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Scalars{
					Scalars: &schemapb.ScalarField{
						Data: &schemapb.ScalarField_DoubleData{
							DoubleData: &schemapb.DoubleArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for _, d := range data {
				columns[idx] = append(columns[idx], d)
			}
		case schemapb.DataType_FloatVector:
			data := generateFloatVectors(numRows, fVecDim)
			f := &schemapb.FieldData{
				Type:      schemapb.DataType_FloatVector,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Vectors{
					Vectors: &schemapb.VectorField{
						Dim: int64(fVecDim),
						Data: &schemapb.VectorField_FloatVector{
							FloatVector: &schemapb.FloatArray{
								Data: data,
							},
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for nrows := 0; nrows < numRows; nrows++ {
				columns[idx] = append(columns[idx], data[nrows*fVecDim:(nrows+1)*fVecDim])
			}
		case schemapb.DataType_BinaryVector:
			data := generateBinaryVectors(numRows, bVecDim)
			f := &schemapb.FieldData{
				Type:      schemapb.DataType_BinaryVector,
				FieldName: field.Name,
				Field: &schemapb.FieldData_Vectors{
					Vectors: &schemapb.VectorField{
						Dim: int64(bVecDim),
						Data: &schemapb.VectorField_BinaryVector{
							BinaryVector: data,
						},
					},
				},
				FieldId: field.FieldID,
			}
			msg.FieldsData = append(msg.FieldsData, f)
			for nrows := 0; nrows < numRows; nrows++ {
				columns[idx] = append(columns[idx], data[nrows*bVecDim/8:(nrows+1)*bVecDim/8])
			}
		}
	}

	return msg, pks, columns
}

func TestRowBasedInsertMsgToInsertData(t *testing.T) {
	numRows, fVecDim, bVecDim := 10, 8, 8
	schema, _, fieldIDs := genAllFieldsSchema(fVecDim, bVecDim)
	msg, _, columns := genRowBasedInsertMsg(numRows, fVecDim, bVecDim)

	idata, err := RowBasedInsertMsgToInsertData(msg, schema)
	assert.Nil(t, err)
	for idx, fID := range fieldIDs {
		column := columns[idx]
		fData, ok := idata.Data[fID]
		assert.True(t, ok)
		assert.Equal(t, len(column), fData.RowNum())
		for j := range column {
			assert.Equal(t, fData.GetRow(j), column[j])
		}
	}
}

func TestColumnBasedInsertMsgToInsertData(t *testing.T) {
	numRows, fVecDim, bVecDim := 2, 2, 8
	schema, _, fieldIDs := genAllFieldsSchema(fVecDim, bVecDim)
	msg, _, columns := genColumnBasedInsertMsg(schema, numRows, fVecDim, bVecDim)

	idata, err := ColumnBasedInsertMsgToInsertData(msg, schema)
	assert.Nil(t, err)
	for idx, fID := range fieldIDs {
		column := columns[idx]
		fData, ok := idata.Data[fID]
		assert.True(t, ok)
		assert.Equal(t, len(column), fData.RowNum())
		for j := range column {
			assert.Equal(t, fData.GetRow(j), column[j])
		}
	}
}

func TestInsertMsgToInsertData(t *testing.T) {
	numRows, fVecDim, bVecDim := 10, 8, 8
	schema, _, fieldIDs := genAllFieldsSchema(fVecDim, bVecDim)
	msg, _, columns := genRowBasedInsertMsg(numRows, fVecDim, bVecDim)

	idata, err := InsertMsgToInsertData(msg, schema)
	assert.Nil(t, err)
	for idx, fID := range fieldIDs {
		column := columns[idx]
		fData, ok := idata.Data[fID]
		assert.True(t, ok)
		assert.Equal(t, len(column), fData.RowNum())
		for j := range column {
			assert.Equal(t, fData.GetRow(j), column[j])
		}
	}
}

func TestInsertMsgToInsertData2(t *testing.T) {
	numRows, fVecDim, bVecDim := 2, 2, 8
	schema, _, fieldIDs := genAllFieldsSchema(fVecDim, bVecDim)
	msg, _, columns := genColumnBasedInsertMsg(schema, numRows, fVecDim, bVecDim)

	idata, err := InsertMsgToInsertData(msg, schema)
	assert.Nil(t, err)
	for idx, fID := range fieldIDs {
		column := columns[idx]
		fData, ok := idata.Data[fID]
		assert.True(t, ok)
		assert.Equal(t, len(column), fData.RowNum())
		for j := range column {
			assert.Equal(t, fData.GetRow(j), column[j])
		}
	}
}

func TestMergeInsertData(t *testing.T) {
	d1 := &InsertData{
		Data: map[int64]FieldData{
			common.RowIDField: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{1},
			},
			common.TimeStampField: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{1},
			},
			BoolField: &BoolFieldData{
				NumRows: []int64{1},
				Data:    []bool{true},
			},
			Int8Field: &Int8FieldData{
				NumRows: []int64{1},
				Data:    []int8{1},
			},
			Int16Field: &Int16FieldData{
				NumRows: []int64{1},
				Data:    []int16{1},
			},
			Int32Field: &Int32FieldData{
				NumRows: []int64{1},
				Data:    []int32{1},
			},
			Int64Field: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{1},
			},
			FloatField: &FloatFieldData{
				NumRows: []int64{1},
				Data:    []float32{0},
			},
			DoubleField: &DoubleFieldData{
				NumRows: []int64{1},
				Data:    []float64{0},
			},
			StringField: &StringFieldData{
				NumRows: []int64{1},
				Data:    []string{"1"},
			},
			BinaryVectorField: &BinaryVectorFieldData{
				NumRows: []int64{1},
				Data:    []byte{0},
				Dim:     8,
			},
			FloatVectorField: &FloatVectorFieldData{
				NumRows: []int64{1},
				Data:    []float32{0},
				Dim:     1,
			},
		},
		Infos: nil,
	}
	d2 := &InsertData{
		Data: map[int64]FieldData{
			common.RowIDField: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{2},
			},
			common.TimeStampField: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{2},
			},
			BoolField: &BoolFieldData{
				NumRows: []int64{1},
				Data:    []bool{false},
			},
			Int8Field: &Int8FieldData{
				NumRows: []int64{1},
				Data:    []int8{2},
			},
			Int16Field: &Int16FieldData{
				NumRows: []int64{1},
				Data:    []int16{2},
			},
			Int32Field: &Int32FieldData{
				NumRows: []int64{1},
				Data:    []int32{2},
			},
			Int64Field: &Int64FieldData{
				NumRows: []int64{1},
				Data:    []int64{2},
			},
			FloatField: &FloatFieldData{
				NumRows: []int64{1},
				Data:    []float32{0},
			},
			DoubleField: &DoubleFieldData{
				NumRows: []int64{1},
				Data:    []float64{0},
			},
			StringField: &StringFieldData{
				NumRows: []int64{1},
				Data:    []string{"2"},
			},
			BinaryVectorField: &BinaryVectorFieldData{
				NumRows: []int64{1},
				Data:    []byte{0},
				Dim:     8,
			},
			FloatVectorField: &FloatVectorFieldData{
				NumRows: []int64{1},
				Data:    []float32{0},
				Dim:     1,
			},
		},
		Infos: nil,
	}

	merged := MergeInsertData(d1, d2)

	f, ok := merged.Data[common.RowIDField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int64FieldData).NumRows)
	assert.Equal(t, []int64{1, 2}, f.(*Int64FieldData).Data)

	f, ok = merged.Data[common.TimeStampField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int64FieldData).NumRows)
	assert.Equal(t, []int64{1, 2}, f.(*Int64FieldData).Data)

	f, ok = merged.Data[BoolField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*BoolFieldData).NumRows)
	assert.Equal(t, []bool{true, false}, f.(*BoolFieldData).Data)

	f, ok = merged.Data[Int8Field]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int8FieldData).NumRows)
	assert.Equal(t, []int8{1, 2}, f.(*Int8FieldData).Data)

	f, ok = merged.Data[Int16Field]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int16FieldData).NumRows)
	assert.Equal(t, []int16{1, 2}, f.(*Int16FieldData).Data)

	f, ok = merged.Data[Int32Field]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int32FieldData).NumRows)
	assert.Equal(t, []int32{1, 2}, f.(*Int32FieldData).Data)

	f, ok = merged.Data[Int64Field]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*Int64FieldData).NumRows)
	assert.Equal(t, []int64{1, 2}, f.(*Int64FieldData).Data)

	f, ok = merged.Data[FloatField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*FloatFieldData).NumRows)
	assert.Equal(t, []float32{0, 0}, f.(*FloatFieldData).Data)

	f, ok = merged.Data[DoubleField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*DoubleFieldData).NumRows)
	assert.Equal(t, []float64{0, 0}, f.(*DoubleFieldData).Data)

	f, ok = merged.Data[StringField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*StringFieldData).NumRows)
	assert.Equal(t, []string{"1", "2"}, f.(*StringFieldData).Data)

	f, ok = merged.Data[BinaryVectorField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*BinaryVectorFieldData).NumRows)
	assert.Equal(t, []byte{0, 0}, f.(*BinaryVectorFieldData).Data)

	f, ok = merged.Data[FloatVectorField]
	assert.True(t, ok)
	assert.Equal(t, []int64{2}, f.(*FloatVectorFieldData).NumRows)
	assert.Equal(t, []float32{0, 0}, f.(*FloatVectorFieldData).Data)
}

func TestGetPkFromInsertData(t *testing.T) {
	var nilSchema *schemapb.CollectionSchema
	_, err := GetPkFromInsertData(nilSchema, nil)
	assert.Error(t, err)

	noPfSchema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      common.StartOfUserFieldID,
				Name:         "no_pf_schema",
				IsPrimaryKey: false,
				Description:  "no pf schema",
				DataType:     schemapb.DataType_Int64,
				AutoID:       false,
			},
		},
	}
	_, err = GetPkFromInsertData(noPfSchema, nil)
	assert.Error(t, err)

	pfSchema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      common.StartOfUserFieldID,
				Name:         "pf_schema",
				IsPrimaryKey: true,
				Description:  "pf schema",
				DataType:     schemapb.DataType_Int64,
				AutoID:       false,
			},
		},
	}
	noPfData := &InsertData{
		Data:  map[FieldID]FieldData{},
		Infos: nil,
	}
	_, err = GetPkFromInsertData(pfSchema, noPfData)
	assert.Error(t, err)

	notInt64Data := &InsertData{
		Data: map[FieldID]FieldData{
			common.StartOfUserFieldID: &BoolFieldData{},
		},
		Infos: nil,
	}
	_, err = GetPkFromInsertData(pfSchema, notInt64Data)
	assert.Error(t, err)

	realInt64Data := &InsertData{
		Data: map[FieldID]FieldData{
			common.StartOfUserFieldID: &Int64FieldData{
				Data: []int64{1, 2, 3},
			},
		},
		Infos: nil,
	}
	d, err := GetPkFromInsertData(pfSchema, realInt64Data)
	assert.NoError(t, err)
	assert.Equal(t, []int64{1, 2, 3}, d)
}