package handlers

import (
	"encoding/json"
	"fmt"
	"math"
	"net/http"
	"strconv"
	"strings"
	"time"

	"ezops/internal/models"
	ezredis "ezops/pkg/redis"

	"github.com/gin-gonic/gin"
	"gorm.io/gorm"
	"gorm.io/gorm/clause"
)

// AgentHandler 处理 Agent 上报数据 // Logan.Li
type AgentHandler struct {
	db         *gorm.DB
	cache      ezredis.Cache // 可选 Redis 缓存（用于热数据存储）
	hubMetrics *MetricsHub   // WebSocket 广播 metrics 更新
}

func NewAgentHandler(db *gorm.DB, cache ezredis.Cache, hub *MetricsHub) *AgentHandler {
	return &AgentHandler{db: db, cache: cache, hubMetrics: hub}
}

// ReceiveReport 接收 Agent 上报的指标数据
// POST /api/v1/agent/report
func (h *AgentHandler) ReceiveReport(c *gin.Context) {
	var req models.AgentReportRequest
	if err := c.ShouldBindJSON(&req); err != nil {
		c.JSON(http.StatusBadRequest, models.Response{Code: 400, Message: "请求格式错误: " + err.Error()})
		return
	}

	// 解析上报时间
	reportTime := time.Now()
	if req.Timestamp != "" {
		if t, err := time.Parse(time.RFC3339, req.Timestamp); err == nil {
			reportTime = t
		}
	}

	// 序列化磁盘和端口信息
	diskJSON, _ := json.Marshal(req.Disks)
	portJSON, _ := json.Marshal(req.Ports)
	netJSON, _ := json.Marshal(req.Network)
	dioJSON, _ := json.Marshal(req.DiskIO)

	// 存储到数据库
	report := models.AgentReport{
		Hostname:   req.Hostname,
		CPUUsage:   req.CPU.UsagePercent,
		CPUCores:   req.CPU.CoreCount,
		Load1:      req.CPU.Load1,
		Load5:      req.CPU.Load5,
		Load15:     req.CPU.Load15,
		MemTotal:   req.Memory.TotalGB,
		MemUsed:    req.Memory.UsedGB,
		MemUsage:   req.Memory.UsagePercent,
		DiskInfo:   string(diskJSON),
		PortInfo:   string(portJSON),
		NetInfo:    string(netJSON),
		DiskIOInfo: string(dioJSON),
		ReportTime: reportTime,
	}

	if err := h.db.Create(&report).Error; err != nil {
		c.JSON(http.StatusInternalServerError, models.Response{Code: 500, Message: "保存失败: " + err.Error()})
		return
	}

	// 同步更新 servers 表的实时指标（通过 hostname 匹配）
	diskAvg := avgDiskUsage(req.Disks)

	// 计算硬件规格
	totalDiskGB := 0.0
	for _, d := range req.Disks {
		totalDiskGB += d.TotalGB
	}
	memMB := int64(req.Memory.TotalGB * 1024) // GB → MB

	result := h.db.Model(&models.Server{}).
		Where("hostname = ? OR ip = ?", req.Hostname, req.Hostname).
		Updates(map[string]interface{}{
			"cpu_usage":    req.CPU.UsagePercent,
			"memory_usage": req.Memory.UsagePercent,
			"disk_usage":   diskAvg,
			"cpu":          req.CPU.CoreCount,
			"memory":       memMB,
			"disk":         int64(totalDiskGB),
			"status":       "running",
		})

	// WebSocket 广播：向所有前端客户端推送该主机的最新指标 // Logan.Li
	if h.hubMetrics != nil && result.RowsAffected > 0 {
		h.hubMetrics.Broadcast(MetricsUpdate{
			Type:           "metrics_update",
			Hostname:       req.Hostname,
			CPU:            req.CPU.UsagePercent,
			Memory:         req.Memory.UsagePercent,
			Disk:           diskAvg,
			Status:         "running",
			TCPEstablished: req.Network.TCPEstablished,
			TCPTimeWait:    req.Network.TCPTimeWait,
			NetRxBPS:       req.Network.NetRxBPS,
			NetTxBPS:       req.Network.NetTxBPS,
			DiskReadBPS:    req.DiskIO.ReadBPS,
			DiskWriteBPS:   req.DiskIO.WriteBPS,
		})
	}

	// 写入 Redis 有序集合（热数据，保留7天）
	if h.cache != nil {
		timestamp := float64(reportTime.Unix())
		ttl := 7 * 24 * time.Hour // 7天

		// 使用 reportTime.UnixNano() 确保 member 唯一（避免相同值碰撞）
		h.writeHotMetric(c, "metrics:cpu:"+req.Hostname, req.CPU.UsagePercent, timestamp, ttl, reportTime)
		h.writeHotMetric(c, "metrics:mem:"+req.Hostname, req.Memory.UsagePercent, timestamp, ttl, reportTime)
		h.writeHotMetric(c, "metrics:load1:"+req.Hostname, req.CPU.Load1, timestamp, ttl, reportTime)
	}

	// 保存成功
	c.JSON(http.StatusOK, models.Response{Code: 200, Message: "ok"})
}

// writeHotMetric 将单个指标写入 Redis 有序集合并维护 TTL 和过期数据清理
func (h *AgentHandler) writeHotMetric(c *gin.Context, key string, value float64, score float64, ttl time.Duration, reportTime time.Time) {
	ctx := c.Request.Context()

	// member 格式: "value:nano_timestamp" 保证唯一性
	member := fmt.Sprintf("%.4f:%d", value, reportTime.UnixNano())

	if err := h.cache.ZAdd(ctx, key, ezredis.SortedSetMember{
		Score:  score,
		Member: member,
	}); err != nil {
		// 静默失败，不影响主流程
		return
	}

	// 设置 key 过期时间
	_ = h.cache.Expire(ctx, key, ttl)

	// 清理 7 天前的旧数据
	cutoff := float64(time.Now().Add(-ttl).Unix())
	_ = h.cache.ZRemRangeByScore(ctx, key, "-inf", fmt.Sprintf("%.0f", cutoff))
}

// GetLatestReports 获取各主机最新上报
// GET /api/v1/agent/latest
func (h *AgentHandler) GetLatestReports(c *gin.Context) {
	// 子查询：每个 hostname 最新的一条记录
	var reports []models.AgentReport
	h.db.Raw(`
		SELECT * FROM agent_reports 
		WHERE id IN (
			SELECT MAX(id) FROM agent_reports GROUP BY hostname
		)
		ORDER BY report_time DESC
	`).Scan(&reports)

	c.JSON(http.StatusOK, models.Response{
		Code:    200,
		Message: "success",
		Data:    reports,
	})
}

// GetHostHistory 获取指定主机的历史指标
// GET /api/v1/agent/history/:hostname?hours=1
func (h *AgentHandler) GetHostHistory(c *gin.Context) {
	hostname := c.Param("hostname")
	hours := 1
	if v := c.Query("hours"); v != "" {
		fmt.Sscanf(v, "%d", &hours)
	}
	since := time.Now().Add(-time.Duration(hours) * time.Hour)

	var reports []models.AgentReport
	h.db.Where("hostname = ? AND report_time >= ?", hostname, since).
		Order("report_time ASC").
		Find(&reports)

	c.JSON(http.StatusOK, models.Response{
		Code:    200,
		Message: "success",
		Data:    reports,
	})
}

// AggregateMetrics 聚合 Redis 热数据到 MySQL klines
// POST /api/v1/agent/aggregate
func (h *AgentHandler) AggregateMetrics(c *gin.Context) {
	var req models.AggregateKlineReq
	if err := c.ShouldBindJSON(&req); err != nil {
		c.JSON(http.StatusBadRequest, models.Response{Code: 400, Message: "请求格式错误: " + err.Error()})
		return
	}

	if h.cache == nil {
		c.JSON(http.StatusServiceUnavailable, models.Response{Code: 503, Message: "Redis 缓存不可用"})
		return
	}

	// 支持的聚合间隔及对应的回溯时长
	intervals := []struct {
		name     string
		duration time.Duration
	}{
		{"1m", 1 * time.Minute},
		{"5m", 5 * time.Minute},
		{"3m", 3 * time.Minute},
		{"1h", 1 * time.Hour},
		{"6h", 6 * time.Hour},
		{"1d", 24 * time.Hour},
	}

	redisKey := fmt.Sprintf("metrics:%s:%s", req.Metric, req.Hostname)
	ctx := c.Request.Context()
	var totalUpserted int64

	for _, iv := range intervals {
		// 回溯窗口：取 interval × 200 倍，确保覆盖足够多的数据点
		lookback := iv.duration * 200
		now := time.Now()
		since := now.Add(-lookback)
		minScore := fmt.Sprintf("%d", since.Unix())
		maxScore := fmt.Sprintf("%d", now.Unix()+1)

		members, err := h.cache.ZRangeByScore(ctx, redisKey, minScore, maxScore)
		if err != nil || len(members) == 0 {
			continue
		}

		// 按间隔分桶
		buckets := make(map[int64][]float64) // bucketTime (unix) → values
		for _, m := range members {
			ts := int64(m.Score)
			bucketStart := (ts / int64(iv.duration.Seconds())) * int64(iv.duration.Seconds())
			val := parseMemberValue(m.Member)
			buckets[bucketStart] = append(buckets[bucketStart], val)
		}

		// 为每个桶计算 OHLC + Avg
		for bucketTs, values := range buckets {
			if len(values) == 0 {
				continue
			}
			open := values[0]
			closeV := values[len(values)-1]
			high := values[0]
			low := values[0]
			sum := 0.0

			for _, v := range values {
				sum += v
				if v > high {
					high = v
				}
				if v < low {
					low = v
				}
			}
			avg := sum / float64(len(values))

			kline := models.MetricsKline{
				Hostname:   req.Hostname,
				Metric:     req.Metric,
				Interval:   iv.name,
				Open:       math.Round(open*100) / 100,
				High:       math.Round(high*100) / 100,
				Low:        math.Round(low*100) / 100,
				Close:      math.Round(closeV*100) / 100,
				Avg:        math.Round(avg*100) / 100,
				Count:      len(values),
				BucketTime: time.Unix(bucketTs, 0),
			}

			// Upsert: hostname + metric + interval + bucket_time 唯一
			result := h.db.Clauses(clause.OnConflict{
				Columns: []clause.Column{
					{Name: "hostname"},
					{Name: "metric"},
					{Name: "interval"},
					{Name: "bucket_time"},
				},
				DoUpdates: clause.AssignmentColumns([]string{
					"open", "high", "low", "close", "avg", "count",
				}),
			}).Create(&kline)

			if result.Error == nil {
				totalUpserted++
			}
		}
	}

	c.JSON(http.StatusOK, models.Response{
		Code:    200,
		Message: fmt.Sprintf("聚合完成，写入/更新 %d 条记录", totalUpserted),
		Data:    gin.H{"upserted": totalUpserted},
	})
}

// GetKline 查询 K 线数据
// GET /api/v1/agent/kline?hostname=&metric=&interval=&from=&to=
func (h *AgentHandler) GetKline(c *gin.Context) {
	var req models.KlineQueryReq
	if err := c.ShouldBindQuery(&req); err != nil {
		c.JSON(http.StatusBadRequest, models.Response{Code: 400, Message: "参数错误: " + err.Error()})
		return
	}

	from, err := time.Parse(time.RFC3339, req.From)
	if err != nil {
		c.JSON(http.StatusBadRequest, models.Response{Code: 400, Message: "from 格式错误，需 RFC3339: " + err.Error()})
		return
	}
	to, err := time.Parse(time.RFC3339, req.To)
	if err != nil {
		c.JSON(http.StatusBadRequest, models.Response{Code: 400, Message: "to 格式错误，需 RFC3339: " + err.Error()})
		return
	}

	var klines []models.MetricsKline
	result := h.db.Where("hostname = ? AND metric = ? AND `interval` = ? AND bucket_time >= ? AND bucket_time <= ?",
		req.Hostname, req.Metric, req.Interval, from, to).
		Order("bucket_time ASC").
		Find(&klines)

	if result.Error != nil {
		c.JSON(http.StatusInternalServerError, models.Response{Code: 500, Message: "查询失败: " + result.Error.Error()})
		return
	}

	if klines == nil {
		klines = []models.MetricsKline{}
	}

	c.JSON(http.StatusOK, models.Response{
		Code:    200,
		Message: "success",
		Data:    klines,
	})
}

// parseMemberValue 从 member 字符串 "45.2300:1234567890123456789" 中提取浮点值
func parseMemberValue(member string) float64 {
	idx := strings.Index(member, ":")
	if idx < 0 {
		v, _ := strconv.ParseFloat(member, 64)
		return v
	}
	v, _ := strconv.ParseFloat(member[:idx], 64)
	return v
}

// avgDiskUsage 计算磁盘平均使用率
func avgDiskUsage(disks []models.DiskMetric) float64 {
	if len(disks) == 0 {
		return 0
	}
	var sum float64
	for _, d := range disks {
		sum += d.UsagePercent
	}
	return math.Round(sum/float64(len(disks))*100) / 100
}