// 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 parquet

import (
	"context"
	"fmt"
	"io"
	"math/rand"
	"os"
	"testing"

	"github.com/apache/arrow/go/v17/arrow"
	"github.com/apache/arrow/go/v17/arrow/array"
	"github.com/apache/arrow/go/v17/arrow/memory"
	"github.com/apache/arrow/go/v17/parquet"
	"github.com/apache/arrow/go/v17/parquet/pqarrow"
	"github.com/stretchr/testify/assert"
	"github.com/stretchr/testify/mock"
	"github.com/stretchr/testify/suite"
	"golang.org/x/exp/slices"

	"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/mocks"
	"github.com/milvus-io/milvus/internal/storage"
	"github.com/milvus-io/milvus/internal/util/nullutil"
	"github.com/milvus-io/milvus/internal/util/testutil"
	"github.com/milvus-io/milvus/pkg/v2/common"
	"github.com/milvus-io/milvus/pkg/v2/objectstorage"
	"github.com/milvus-io/milvus/pkg/v2/util/merr"
	"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)

const (
	testOutputPath = "/tmp/milvus_test/test_parquet_reader"
)

type ReaderSuite struct {
	suite.Suite

	numRows     int
	pkDataType  schemapb.DataType
	vecDataType schemapb.DataType
}

func (s *ReaderSuite) SetupTest() {
	// default suite params
	s.numRows = 100
	s.pkDataType = schemapb.DataType_Int64
	s.vecDataType = schemapb.DataType_FloatVector
}

func randomString(length int) string {
	letterRunes := []rune("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
	b := make([]rune, length)
	for i := range b {
		b[i] = letterRunes[rand.Intn(len(letterRunes))]
	}
	return string(b)
}

func writeParquet(w io.Writer, schema *schemapb.CollectionSchema, numRows int, nullPercent int) (*storage.InsertData, error) {
	useNullType := false
	if nullPercent == 100 {
		useNullType = true
	}
	pqSchema, err := ConvertToArrowSchemaForUT(schema, useNullType)
	if err != nil {
		return nil, err
	}
	fw, err := pqarrow.NewFileWriter(pqSchema, w, parquet.NewWriterProperties(parquet.WithMaxRowGroupLength(int64(numRows))), pqarrow.DefaultWriterProps())
	if err != nil {
		return nil, err
	}
	defer fw.Close()

	insertData, err := testutil.CreateInsertData(schema, numRows, nullPercent)
	if err != nil {
		return nil, err
	}
	columns, err := testutil.BuildArrayData(schema, insertData, useNullType)
	if err != nil {
		return nil, err
	}

	recordBatch := array.NewRecord(pqSchema, columns, int64(numRows))
	err = fw.Write(recordBatch)
	if err != nil {
		return nil, err
	}

	return insertData, nil
}

func (s *ReaderSuite) run(dataType schemapb.DataType, elemType schemapb.DataType, nullable bool, nullPercent int) {
	schema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      100,
				Name:         "pk",
				IsPrimaryKey: true,
				DataType:     s.pkDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "max_length",
						Value: "256",
					},
				},
			},
			{
				FieldID:  101,
				Name:     "vec",
				DataType: s.vecDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   common.DimKey,
						Value: "8",
					},
				},
			},
			{
				FieldID:     102,
				Name:        dataType.String(),
				DataType:    dataType,
				ElementType: elemType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "max_length",
						Value: "256",
					},
					{
						Key:   common.MaxCapacityKey,
						Value: "256",
					},
				},
				Nullable: nullable,
			},
		},
	}
	if dataType == schemapb.DataType_VarChar {
		// Add a BM25 function if data type is VarChar
		schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
			FieldID:          103,
			Name:             "sparse",
			DataType:         schemapb.DataType_SparseFloatVector,
			IsFunctionOutput: true,
		})
		schema.Functions = append(schema.Functions, &schemapb.FunctionSchema{
			Id:               1000,
			Name:             "bm25",
			Type:             schemapb.FunctionType_BM25,
			InputFieldIds:    []int64{102},
			InputFieldNames:  []string{dataType.String()},
			OutputFieldIds:   []int64{103},
			OutputFieldNames: []string{"sparse"},
		})
	}

	filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
	defer os.Remove(filePath)
	wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
	assert.NoError(s.T(), err)
	insertData, err := writeParquet(wf, schema, s.numRows, nullPercent)
	assert.NoError(s.T(), err)

	ctx := context.Background()
	f := storage.NewChunkManagerFactory("local", objectstorage.RootPath(testOutputPath))
	cm, err := f.NewPersistentStorageChunkManager(ctx)
	assert.NoError(s.T(), err)
	reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
	s.NoError(err)
	s.NotNil(reader)
	defer reader.Close()

	size, err := reader.Size()
	s.NoError(err)
	s.True(size > int64(0))
	size2, err := reader.Size() // size is cached
	s.NoError(err)
	s.Equal(size, size2)

	checkFn := func(actualInsertData *storage.InsertData, offsetBegin, expectRows int) {
		expectInsertData := insertData
		for fieldID, data := range actualInsertData.Data {
			s.Equal(expectRows, data.RowNum())
			fieldDataType := typeutil.GetField(schema, fieldID).GetDataType()
			elementType := typeutil.GetField(schema, fieldID).GetElementType()
			for i := 0; i < expectRows; i++ {
				expect := expectInsertData.Data[fieldID].GetRow(i + offsetBegin)
				actual := data.GetRow(i)
				if fieldDataType == schemapb.DataType_Array && expect != nil {
					switch elementType {
					case schemapb.DataType_Bool:
						actualArray := actual.(*schemapb.ScalarField).GetBoolData().GetData()
						s.True(slices.Equal(expect.(*schemapb.ScalarField).GetBoolData().GetData(), actualArray))
						s.LessOrEqual(len(actualArray), len(expect.(*schemapb.ScalarField).GetBoolData().GetData()), "array size %d exceeds max_size %d", len(actualArray), len(expect.(*schemapb.ScalarField).GetBoolData().GetData()))
					case schemapb.DataType_Int8, schemapb.DataType_Int16, schemapb.DataType_Int32, schemapb.DataType_Int64:
						actualArray := actual.(*schemapb.ScalarField).GetIntData().GetData()
						s.True(slices.Equal(expect.(*schemapb.ScalarField).GetIntData().GetData(), actualArray))
						s.LessOrEqual(len(actualArray), len(expect.(*schemapb.ScalarField).GetIntData().GetData()), "array size %d exceeds max_size %d", len(actualArray), len(expect.(*schemapb.ScalarField).GetIntData().GetData()))
					case schemapb.DataType_Float:
						actualArray := actual.(*schemapb.ScalarField).GetFloatData().GetData()
						s.True(slices.Equal(expect.(*schemapb.ScalarField).GetFloatData().GetData(), actualArray))
						s.LessOrEqual(len(actualArray), len(expect.(*schemapb.ScalarField).GetFloatData().GetData()), "array size %d exceeds max_size %d", len(actualArray), len(expect.(*schemapb.ScalarField).GetFloatData().GetData()))
					case schemapb.DataType_Double:
						actualArray := actual.(*schemapb.ScalarField).GetDoubleData().GetData()
						s.True(slices.Equal(expect.(*schemapb.ScalarField).GetDoubleData().GetData(), actualArray))
						s.LessOrEqual(len(actualArray), len(expect.(*schemapb.ScalarField).GetDoubleData().GetData()), "array size %d exceeds max_size %d", len(actualArray), len(expect.(*schemapb.ScalarField).GetDoubleData().GetData()))
					case schemapb.DataType_String:
						actualArray := actual.(*schemapb.ScalarField).GetStringData().GetData()
						s.True(slices.Equal(expect.(*schemapb.ScalarField).GetStringData().GetData(), actualArray))
						s.LessOrEqual(len(actualArray), len(expect.(*schemapb.ScalarField).GetStringData().GetData()), "array size %d exceeds max_size %d", len(actualArray), len(expect.(*schemapb.ScalarField).GetStringData().GetData()))
					default:
						s.Fail("unsupported array element type")
					}
				} else if fieldDataType == schemapb.DataType_Geometry && expect != nil {
					expectData := expect.([]byte)
					wkbValue, err := common.ConvertWKTToWKB(string(expectData))
					if err != nil {
						s.Fail("marshal wkb failed")
					}
					s.Equal(wkbValue, actual.([]byte))
				} else {
					s.Equal(expect, actual)
				}
			}
		}
	}

	res, err := reader.Read()
	s.NoError(err)
	checkFn(res, 0, s.numRows)
}

func (s *ReaderSuite) failRun(dt schemapb.DataType, isDynamic bool) {
	schema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      100,
				Name:         "pk",
				IsPrimaryKey: true,
				DataType:     s.pkDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "max_length",
						Value: "256",
					},
				},
			},
			{
				FieldID:  101,
				Name:     "vec",
				DataType: s.vecDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   common.DimKey,
						Value: "8",
					},
				},
			},
			{
				FieldID:     102,
				Name:        dt.String(),
				DataType:    dt,
				ElementType: schemapb.DataType_Int32,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "max_length",
						Value: "256",
					},
				},
				IsDynamic: isDynamic,
			},
		},
	}

	filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
	defer os.Remove(filePath)
	wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
	assert.NoError(s.T(), err)
	_, err = writeParquet(wf, schema, s.numRows, 50)
	assert.NoError(s.T(), err)

	ctx := context.Background()
	f := storage.NewChunkManagerFactory("local", objectstorage.RootPath(testOutputPath))
	cm, err := f.NewPersistentStorageChunkManager(ctx)
	assert.NoError(s.T(), err)
	reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
	s.NoError(err)

	_, err = reader.Read()
	s.Error(err)
}

func (s *ReaderSuite) runWithDefaultValue(dataType schemapb.DataType, elemType schemapb.DataType, nullable bool, nullPercent int) {
	schema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      100,
				Name:         "pk",
				IsPrimaryKey: true,
				DataType:     s.pkDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   "max_length",
						Value: "256",
					},
				},
			},
			{
				FieldID:  101,
				Name:     "vec",
				DataType: s.vecDataType,
				TypeParams: []*commonpb.KeyValuePair{
					{
						Key:   common.DimKey,
						Value: "8",
					},
				},
			},
		},
	}
	// here always set nullable==true just for test, insertData will store validData only nullable==true
	// if expectInsertData is nulls and set default value
	// actualData will be default_value
	fieldSchema, err := testutil.CreateFieldWithDefaultValue(dataType, 102, true)
	s.NoError(err)
	schema.Fields = append(schema.Fields, fieldSchema)

	filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
	defer os.Remove(filePath)
	wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
	assert.NoError(s.T(), err)
	insertData, err := writeParquet(wf, schema, s.numRows, nullPercent)
	assert.NoError(s.T(), err)

	ctx := context.Background()
	f := storage.NewChunkManagerFactory("local", objectstorage.RootPath(testOutputPath))
	cm, err := f.NewPersistentStorageChunkManager(ctx)
	assert.NoError(s.T(), err)
	schema.Fields[2].Nullable = nullable
	reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
	s.NoError(err)

	checkFn := func(actualInsertData *storage.InsertData, offsetBegin, expectRows int) {
		expectInsertData := insertData
		for fieldID, data := range actualInsertData.Data {
			s.Equal(expectRows, data.RowNum())
			for i := 0; i < expectRows; i++ {
				expect := expectInsertData.Data[fieldID].GetRow(i + offsetBegin)
				actual := data.GetRow(i)
				if expect == nil {
					expect, err = nullutil.GetDefaultValue(fieldSchema)
					s.NoError(err)
				}
				s.Equal(expect, actual)
			}
		}
	}

	res, err := reader.Read()
	s.NoError(err)
	checkFn(res, 0, s.numRows)
}

func (s *ReaderSuite) runWithSparseVector(indicesType arrow.DataType, valuesType arrow.DataType) {
	// milvus schema
	schema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      100,
				Name:         "pk",
				IsPrimaryKey: true,
				DataType:     schemapb.DataType_Int64,
				AutoID:       false,
			},
			{
				FieldID:  101,
				Name:     "sparse",
				DataType: schemapb.DataType_SparseFloatVector,
			},
		},
	}

	// arrow schema
	arrowFields := make([]arrow.Field, 0)
	arrowFields = append(arrowFields, arrow.Field{
		Name:     "pk",
		Type:     &arrow.Int64Type{},
		Nullable: false,
		Metadata: arrow.Metadata{},
	})

	sparseFields := []arrow.Field{
		{Name: sparseVectorIndice, Type: arrow.ListOf(indicesType)},
		{Name: sparseVectorValues, Type: arrow.ListOf(valuesType)},
	}
	arrowFields = append(arrowFields, arrow.Field{
		Name:     "sparse",
		Type:     arrow.StructOf(sparseFields...),
		Nullable: false,
		Metadata: arrow.Metadata{},
	})
	pqSchema := arrow.NewSchema(arrowFields, nil)

	// parquet writer
	filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
	defer os.Remove(filePath)

	// prepare milvus data
	insertData, err := testutil.CreateInsertData(schema, s.numRows, 0)
	assert.NoError(s.T(), err)

	// use a function here because the fw.Close() must be called before we read the parquet file
	func() {
		wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
		assert.NoError(s.T(), err)
		fw, err := pqarrow.NewFileWriter(pqSchema, wf, parquet.NewWriterProperties(parquet.WithMaxRowGroupLength(int64(s.numRows))), pqarrow.DefaultWriterProps())
		assert.NoError(s.T(), err)
		defer fw.Close()

		// prepare parquet data
		arrowColumns := make([]arrow.Array, 0, len(schema.Fields))
		mem := memory.NewGoAllocator()
		builder := array.NewInt64Builder(mem)
		int64Data := insertData.Data[schema.Fields[0].FieldID].(*storage.Int64FieldData).Data
		validData := insertData.Data[schema.Fields[0].FieldID].(*storage.Int64FieldData).ValidData
		builder.AppendValues(int64Data, validData)
		arrowColumns = append(arrowColumns, builder.NewInt64Array())

		sparseFieldData := insertData.Data[schema.Fields[1].FieldID].(*storage.SparseFloatVectorFieldData)
		contents := sparseFieldData.GetContents()
		sparseValidData := sparseFieldData.ValidData
		arr, err := testutil.BuildSparseVectorData(mem, contents, arrowFields[1].Type, sparseValidData)
		assert.NoError(s.T(), err)
		arrowColumns = append(arrowColumns, arr)

		// write parquet
		recordBatch := array.NewRecord(pqSchema, arrowColumns, int64(s.numRows))
		err = fw.Write(recordBatch)
		assert.NoError(s.T(), err)
	}()

	// read parquet
	ctx := context.Background()
	f := storage.NewChunkManagerFactory("local", objectstorage.RootPath(testOutputPath))
	cm, err := f.NewPersistentStorageChunkManager(ctx)
	assert.NoError(s.T(), err)
	reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
	assert.NoError(s.T(), err)

	checkFn := func(actualInsertData *storage.InsertData, offsetBegin, expectRows int) {
		expectInsertData := insertData
		for fieldID, data := range actualInsertData.Data {
			s.Equal(expectRows, data.RowNum())
			for i := 0; i < expectRows; i++ {
				expect := expectInsertData.Data[fieldID].GetRow(i + offsetBegin)
				actual := data.GetRow(i)
				s.Equal(expect, actual)
			}
		}
	}

	res, err := reader.Read()
	assert.NoError(s.T(), err)
	checkFn(res, 0, s.numRows)
}

func (s *ReaderSuite) TestReadScalarFieldsWithDefaultValue() {
	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_Double, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, true, 0)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, true, 0)

	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, true, 50)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, true, 50)

	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, true, 100)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, true, 100)

	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_Double, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, false, 0)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, false, 0)

	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, false, 50)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, false, 50)

	s.runWithDefaultValue(schemapb.DataType_Bool, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_Int8, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_Int16, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_Int32, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_Int64, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_Float, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_String, schemapb.DataType_None, false, 100)
	s.runWithDefaultValue(schemapb.DataType_VarChar, schemapb.DataType_None, false, 100)
}

func (s *ReaderSuite) TestReadScalarFields() {
	elementTypes := []schemapb.DataType{
		schemapb.DataType_Bool,
		schemapb.DataType_Int8,
		schemapb.DataType_Int16,
		schemapb.DataType_Int32,
		schemapb.DataType_Int64,
		schemapb.DataType_Float,
		schemapb.DataType_Double,
		schemapb.DataType_String,
	}

	scalarTypes := append(elementTypes, []schemapb.DataType{schemapb.DataType_VarChar, schemapb.DataType_JSON, schemapb.DataType_Geometry, schemapb.DataType_Array}...)

	for _, dataType := range scalarTypes {
		if dataType == schemapb.DataType_Array {
			for _, elementType := range elementTypes {
				s.run(dataType, elementType, false, 0)
				for _, nullPercent := range []int{0, 50, 100} {
					s.run(dataType, elementType, true, nullPercent)
				}
			}
		} else {
			s.run(dataType, schemapb.DataType_None, false, 0)
			for _, nullPercent := range []int{0, 50, 100} {
				s.run(dataType, schemapb.DataType_None, true, nullPercent)
			}
		}
	}

	s.failRun(schemapb.DataType_JSON, true)
}

func (s *ReaderSuite) TestStringPK() {
	s.pkDataType = schemapb.DataType_VarChar
	s.run(schemapb.DataType_Int32, schemapb.DataType_None, false, 0)
	for _, nullPercent := range []int{0, 50, 100} {
		s.run(schemapb.DataType_Int32, schemapb.DataType_None, true, nullPercent)
	}
}

func (s *ReaderSuite) TestVector() {
	dataTypes := []schemapb.DataType{
		schemapb.DataType_BinaryVector,
		schemapb.DataType_FloatVector,
		schemapb.DataType_Float16Vector,
		schemapb.DataType_BFloat16Vector,
		schemapb.DataType_SparseFloatVector,
		schemapb.DataType_Int8Vector,
	}

	for _, dataType := range dataTypes {
		s.vecDataType = dataType
		s.run(schemapb.DataType_Int32, schemapb.DataType_None, false, 0)
		for _, nullPercent := range []int{0, 50, 100} {
			s.run(schemapb.DataType_Int32, schemapb.DataType_None, true, nullPercent)
		}
	}
}

func (s *ReaderSuite) TestSparseVector() {
	s.runWithSparseVector(arrow.PrimitiveTypes.Int32, arrow.PrimitiveTypes.Float32)
	s.runWithSparseVector(arrow.PrimitiveTypes.Int32, arrow.PrimitiveTypes.Float64)
	s.runWithSparseVector(arrow.PrimitiveTypes.Uint32, arrow.PrimitiveTypes.Float32)
	s.runWithSparseVector(arrow.PrimitiveTypes.Uint32, arrow.PrimitiveTypes.Float64)
	s.runWithSparseVector(arrow.PrimitiveTypes.Int64, arrow.PrimitiveTypes.Float32)
	s.runWithSparseVector(arrow.PrimitiveTypes.Int64, arrow.PrimitiveTypes.Float64)
	s.runWithSparseVector(arrow.PrimitiveTypes.Uint64, arrow.PrimitiveTypes.Float32)
	s.runWithSparseVector(arrow.PrimitiveTypes.Uint64, arrow.PrimitiveTypes.Float64)
}

func TestParquetReader(t *testing.T) {
	suite.Run(t, new(ReaderSuite))
}

func TestParquetReaderWithStructArray(t *testing.T) {
	ctx := context.Background()

	t.Run("test struct array field reading", func(t *testing.T) {
		// Create schema with StructArrayField
		schema := &schemapb.CollectionSchema{
			Name: "test_struct_array",
			Fields: []*schemapb.FieldSchema{
				{
					FieldID:      100,
					Name:         "id",
					IsPrimaryKey: true,
					DataType:     schemapb.DataType_Int64,
				},
				{
					FieldID:  101,
					Name:     "varchar_field",
					DataType: schemapb.DataType_VarChar,
					TypeParams: []*commonpb.KeyValuePair{
						{Key: common.MaxLengthKey, Value: "100"},
					},
				},
			},
			StructArrayFields: []*schemapb.StructArrayFieldSchema{
				{
					FieldID: 200,
					Name:    "struct_array",
					Fields: []*schemapb.FieldSchema{
						{
							FieldID:     201,
							Name:        "struct_array[int_array]",
							DataType:    schemapb.DataType_Array,
							ElementType: schemapb.DataType_Int32,
							TypeParams: []*commonpb.KeyValuePair{
								{Key: common.MaxCapacityKey, Value: "20"},
							},
						},
						{
							FieldID:     202,
							Name:        "struct_array[float_array]",
							DataType:    schemapb.DataType_Array,
							ElementType: schemapb.DataType_Float,
							TypeParams: []*commonpb.KeyValuePair{
								{Key: common.MaxCapacityKey, Value: "20"},
							},
						},
						{
							FieldID:     203,
							Name:        "struct_array[vector_array]",
							DataType:    schemapb.DataType_ArrayOfVector,
							ElementType: schemapb.DataType_FloatVector,
							TypeParams: []*commonpb.KeyValuePair{
								{Key: common.DimKey, Value: "4"},
								{Key: common.MaxCapacityKey, Value: "20"},
							},
						},
					},
				},
			},
		}

		// Create test data file
		filePath := fmt.Sprintf("/tmp/test_struct_array_%d.parquet", rand.Int())
		defer os.Remove(filePath)

		numRows := 50
		f, err := os.Create(filePath)
		assert.NoError(t, err)

		// Use writeParquet to create test file
		insertData, err := writeParquet(f, schema, numRows, 0)
		assert.NoError(t, err)
		f.Close()

		// Verify the insert data contains struct fields
		assert.Contains(t, insertData.Data, int64(201)) // int_array field
		assert.Contains(t, insertData.Data, int64(202)) // float_array field
		assert.Contains(t, insertData.Data, int64(203)) // vector_array field

		// Now test reading the file using ChunkManager
		factory := storage.NewChunkManagerFactory("local", objectstorage.RootPath("/tmp"))
		cm, err := factory.NewPersistentStorageChunkManager(ctx)
		assert.NoError(t, err)

		reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
		assert.NoError(t, err)
		defer reader.Close()

		// Read data
		readData, err := reader.Read()
		assert.NoError(t, err)
		assert.NotNil(t, readData)

		// Verify the data includes struct fields
		assert.Contains(t, readData.Data, int64(201)) // int_array field ID
		assert.Contains(t, readData.Data, int64(202)) // float_array field ID
		assert.Contains(t, readData.Data, int64(203)) // vector_array field ID

		// Check row count matches
		assert.Equal(t, numRows, readData.Data[100].RowNum()) // id field
		assert.Equal(t, numRows, readData.Data[101].RowNum()) // varchar_field
		assert.Equal(t, numRows, readData.Data[201].RowNum()) // int_array
		assert.Equal(t, numRows, readData.Data[202].RowNum()) // float_array
		assert.Equal(t, numRows, readData.Data[203].RowNum()) // vector_array

		// Verify data content matches
		for fieldID, originalData := range insertData.Data {
			readFieldData, ok := readData.Data[fieldID]
			assert.True(t, ok, "field %d not found in read data", fieldID)
			assert.Equal(t, originalData.RowNum(), readFieldData.RowNum(), "row count mismatch for field %d", fieldID)
		}
	})
}

func TestParquetReaderError(t *testing.T) {
	ctx := context.Background()
	cm := mocks.NewChunkManager(t)
	cm.EXPECT().Reader(mock.Anything, mock.Anything).Return(nil, merr.WrapErrImportFailed("read error"))

	// io error
	schema := &schemapb.CollectionSchema{
		Fields: []*schemapb.FieldSchema{
			{
				FieldID:      100,
				Name:         "pk",
				IsPrimaryKey: true,
				DataType:     schemapb.DataType_Int64,
				AutoID:       false,
			},
			{
				FieldID:          101,
				Name:             "vec",
				DataType:         schemapb.DataType_SparseFloatVector,
				IsFunctionOutput: false,
			},
		},
	}
	_, err := NewReader(ctx, cm, schema, "dummy path", 64*1024*1024)
	assert.Error(t, err)

	// temp tunction to write parquet file
	writeParquetFunc := func(colSchema *schemapb.CollectionSchema, numRows int) string {
		filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
		wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
		assert.NoError(t, err)

		pqSchema, err := ConvertToArrowSchemaForUT(colSchema, false)
		assert.NoError(t, err)

		fw, err := pqarrow.NewFileWriter(pqSchema, wf, parquet.NewWriterProperties(parquet.WithMaxRowGroupLength(int64(numRows))), pqarrow.DefaultWriterProps())
		assert.NoError(t, err)
		defer fw.Close()

		insertData, err := testutil.CreateInsertData(schema, numRows, 0)
		assert.NoError(t, err)
		columns, err := testutil.BuildArrayData(schema, insertData, false)
		assert.NoError(t, err)

		recordBatch := array.NewRecord(pqSchema, columns, int64(numRows))
		err = fw.Write(recordBatch)
		assert.NoError(t, err)

		return filePath
	}

	checkFunc := func(colSchema *schemapb.CollectionSchema, filePath string, succeed bool) {
		f := storage.NewChunkManagerFactory("local", objectstorage.RootPath(testOutputPath))
		c, err := f.NewPersistentStorageChunkManager(ctx)
		assert.NoError(t, err)

		_, err = NewReader(ctx, c, schema, filePath, 64*1024*1024)
		if succeed {
			assert.NoError(t, err)
		} else {
			assert.Error(t, err)
		}
	}

	// the parquet file contains "pk" and "vec"
	numRows := 3
	filePath := writeParquetFunc(schema, numRows)
	defer os.Remove(filePath)

	// now set the pk to be AutoID
	// NewReader will return error "the primary key is auto-generated, no need to provide"
	schema.Fields[0].AutoID = true
	checkFunc(schema, filePath, false)

	// allow_insert_autoid=true should allow providing PK even if AutoID
	schema.Fields[0].AutoID = true
	schema.Properties = []*commonpb.KeyValuePair{{Key: common.AllowInsertAutoIDKey, Value: "true"}}
	checkFunc(schema, filePath, true)
	// reset properties
	schema.Properties = nil

	// now set the vec to be FunctionOutput
	// NewReader will return error "the field is output by function, no need to provide"
	schema.Fields[0].AutoID = false
	schema.Fields[1].IsFunctionOutput = true
	checkFunc(schema, filePath, false)

	// now add a nullable field in the schema
	// NewReader will succeed
	schema.Fields[1].IsFunctionOutput = false
	schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
		FieldID:  200,
		Name:     "new",
		DataType: schemapb.DataType_Float,
		Nullable: true,
	})
	checkFunc(schema, filePath, true)

	// the new field is not nullable
	// NewReader will return error "schema not equal"
	schema.Fields[2].Nullable = false
	checkFunc(schema, filePath, false)

	// now add a dynamic field in the schema
	// NewReader will succeed
	schema.Fields[2].Nullable = true
	schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
		FieldID:   300,
		Name:      "dynamic",
		DataType:  schemapb.DataType_JSON,
		IsDynamic: true,
	})
	checkFunc(schema, filePath, true)

	// the new file contains 4 fields: pk, vec, new, dynamic
	filePath = writeParquetFunc(schema, numRows)
	defer os.Remove(filePath)

	// the schema has 2 fields: pk, vec
	// NewReader will succeed
	schema.Fields = schema.Fields[0:2]
	checkFunc(schema, filePath, true)
}
