// 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 compaction

import (
	"context"
	"path"
	"time"

	"github.com/samber/lo"
	"go.uber.org/zap"

	"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
	"github.com/milvus-io/milvus/internal/storage"
	"github.com/milvus-io/milvus/pkg/v2/log"
	"github.com/milvus-io/milvus/pkg/v2/proto/datapb"
	"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)

func LoadBM25Stats(ctx context.Context, chunkManager storage.ChunkManager, schema *schemapb.CollectionSchema, segmentID int64, statsBinlogs []*datapb.FieldBinlog) (map[int64]*storage.BM25Stats, error) {
	startTs := time.Now()
	log := log.With(zap.Int64("segmentID", segmentID))
	log.Info("begin to reload history BM25 stats", zap.Int("statsBinLogsLen", len(statsBinlogs)))

	fieldList, fieldOffset := make([]int64, len(statsBinlogs)), make([]int, len(statsBinlogs))
	logpaths := make([]string, 0)
	for i, binlog := range statsBinlogs {
		fieldList[i] = binlog.FieldID
		fieldOffset[i] = len(binlog.Binlogs)
		logpaths = append(logpaths, lo.Map(binlog.Binlogs, func(log *datapb.Binlog, _ int) string { return log.GetLogPath() })...)
	}

	if len(logpaths) == 0 {
		log.Warn("no BM25 stats to load")
		return nil, nil
	}

	values, err := chunkManager.MultiRead(ctx, logpaths)
	if err != nil {
		log.Warn("failed to load BM25 stats files", zap.Error(err))
		return nil, err
	}

	result := make(map[int64]*storage.BM25Stats)
	cnt := 0
	for i, fieldID := range fieldList {
		for offset := 0; offset < fieldOffset[i]; offset++ {
			stats, ok := result[fieldID]
			if !ok {
				stats = storage.NewBM25Stats()
				result[fieldID] = stats
			}
			err := stats.Deserialize(values[cnt+offset])
			if err != nil {
				return nil, err
			}
		}
		cnt += fieldOffset[i]
	}

	// TODO ADD METRIC FOR LOAD BM25 TIME
	log.Info("Successfully load BM25 stats", zap.Any("time", time.Since(startTs)))
	return result, nil
}

func LoadStats(ctx context.Context, chunkManager storage.ChunkManager, schema *schemapb.CollectionSchema, segmentID int64, statsBinlogs []*datapb.FieldBinlog) ([]*storage.PkStatistics, error) {
	startTs := time.Now()
	log := log.With(zap.Int64("segmentID", segmentID))
	log.Info("begin to init pk bloom filter", zap.Int("statsBinLogsLen", len(statsBinlogs)))

	pkField, err := typeutil.GetPrimaryFieldSchema(schema)
	if err != nil {
		return nil, err
	}

	// filter stats binlog files which is pk field stats log
	bloomFilterFiles := []string{}
	logType := storage.DefaultStatsType

	for _, binlog := range statsBinlogs {
		if binlog.FieldID != pkField.GetFieldID() {
			continue
		}
	Loop:
		for _, log := range binlog.GetBinlogs() {
			_, logidx := path.Split(log.GetLogPath())
			// if special status log exist
			// only load one file
			switch logidx {
			case storage.CompoundStatsType.LogIdx():
				bloomFilterFiles = []string{log.GetLogPath()}
				logType = storage.CompoundStatsType
				break Loop
			default:
				bloomFilterFiles = append(bloomFilterFiles, log.GetLogPath())
			}
		}
	}

	// no stats log to parse, initialize a new BF
	if len(bloomFilterFiles) == 0 {
		log.Warn("no stats files to load")
		return nil, nil
	}

	// read historical PK filter
	values, err := chunkManager.MultiRead(ctx, bloomFilterFiles)
	if err != nil {
		log.Warn("failed to load bloom filter files", zap.Error(err))
		return nil, err
	}
	blobs := make([]*storage.Blob, 0)
	for i := 0; i < len(values); i++ {
		blobs = append(blobs, &storage.Blob{Value: values[i]})
	}

	var stats []*storage.PrimaryKeyStats
	if logType == storage.CompoundStatsType {
		stats, err = storage.DeserializeStatsList(blobs[0])
		if err != nil {
			log.Warn("failed to deserialize stats list", zap.Error(err))
			return nil, err
		}
	} else {
		stats, err = storage.DeserializeStats(blobs)
		if err != nil {
			log.Warn("failed to deserialize stats", zap.Error(err))
			return nil, err
		}
	}

	var size uint
	result := make([]*storage.PkStatistics, 0, len(stats))
	for _, stat := range stats {
		pkStat := &storage.PkStatistics{
			PkFilter: stat.BF,
			MinPK:    stat.MinPk,
			MaxPK:    stat.MaxPk,
		}
		size += stat.BF.Cap()
		result = append(result, pkStat)
	}

	log.Info("Successfully load pk stats", zap.Any("time", time.Since(startTs)), zap.Uint("size", size))
	return result, nil
}