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feat: mock data.

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This commit is contained in:
laoboli
2026-04-30 08:37:19 +08:00
parent c2bb69bde6
commit 2e1570651a
2 changed files with 164 additions and 11 deletions
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controllers/statistics.go
+54 -11
View File
@@ -7,6 +7,7 @@ import (
"net/http"
"strconv"
"strings"
"time"
"github.com/gin-gonic/gin"
"gorm.io/gorm"
@@ -110,16 +111,19 @@ func (sc *StatisticsController) DeleteAIAnalysisRecord(c *gin.Context) {
// --- 统计接口 ---
type regionStatisticsItem struct {
RegionID uint32 `json:"regionId"`
Count int64 `json:"count"`
TotalInputTokens int64 `json:"totalInputTokens"`
TotalOutputTokens int64 `json:"totalOutputTokens"`
TotalInputSizeBytes int64 `json:"totalInputSizeBytes"`
TotalOutputSizeBytes int64 `json:"totalOutputSizeBytes"`
TotalDurationMs int64 `json:"totalDurationMs"`
AvgDurationMs float64 `json:"avgDurationMs"`
TotalOriginalFileSize int64 `json:"totalOriginalFileSize"`
TotalCompressedSize int64 `json:"totalCompressedSize"`
RegionID uint32 `json:"regionId"`
KindergartenName string `json:"kindergartenName"`
Count int64 `json:"count"`
TotalInputTokens int64 `json:"totalInputTokens"`
TotalOutputTokens int64 `json:"totalOutputTokens"`
TotalInputSizeBytes int64 `json:"totalInputSizeBytes"`
TotalOutputSizeBytes int64 `json:"totalOutputSizeBytes"`
TotalDurationMs int64 `json:"totalDurationMs"`
AvgDurationMs float64 `json:"avgDurationMs"`
TotalOriginalFileSize int64 `json:"totalOriginalFileSize"`
TotalCompressedSize int64 `json:"totalCompressedSize"`
FirstUsedAt *time.Time `json:"firstUsedAt"`
LastUsedAt *time.Time `json:"lastUsedAt"`
}
func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
@@ -154,6 +158,8 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
TotalDurationMs int64
TotalOriginalFileSize int64
TotalCompressedSize int64
FirstUsedAt *time.Time
LastUsedAt *time.Time
}
var rawResults []rawStats
@@ -166,7 +172,9 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
COALESCE(SUM(output_size_bytes), 0) as total_output_size_bytes,
COALESCE(SUM(duration_ms), 0) as total_duration_ms,
COALESCE(SUM(original_file_size), 0) as total_original_file_size,
COALESCE(SUM(compressed_content_size), 0) as total_compressed_size
COALESCE(SUM(compressed_content_size), 0) as total_compressed_size,
MIN(created_at) as first_used_at,
MAX(created_at) as last_used_at
`).Group("region_id").Scan(&rawResults).Error
if err != nil {
@@ -174,6 +182,23 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
return
}
// 收集所有 regionId 查询幼儿园名称
regionIDs := make([]uint32, 0, len(rawResults))
for _, r := range rawResults {
if r.RegionID != nil && *r.RegionID > 0 {
regionIDs = append(regionIDs, *r.RegionID)
}
}
kindergartenMap := make(map[uint32]string)
if len(regionIDs) > 0 {
var kindergartens []models.Kindergarten
if err := sc.DB.Where("region_id IN ?", regionIDs).Find(&kindergartens).Error; err == nil {
for _, k := range kindergartens {
kindergartenMap[k.RegionID] = k.Name
}
}
}
overall := regionStatisticsItem{}
regions := make(map[string]regionStatisticsItem, len(rawResults))
@@ -186,8 +211,13 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
if r.Count > 0 {
avgDuration = float64(r.TotalDurationMs) / float64(r.Count)
}
kgName := ""
if regionID > 0 {
kgName = kindergartenMap[regionID]
}
item := regionStatisticsItem{
RegionID: regionID,
KindergartenName: kgName,
Count: r.Count,
TotalInputTokens: r.TotalInputTokens,
TotalOutputTokens: r.TotalOutputTokens,
@@ -197,6 +227,8 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
AvgDurationMs: avgDuration,
TotalOriginalFileSize: r.TotalOriginalFileSize,
TotalCompressedSize: r.TotalCompressedSize,
FirstUsedAt: r.FirstUsedAt,
LastUsedAt: r.LastUsedAt,
}
regions[strconv.FormatUint(uint64(regionID), 10)] = item
@@ -209,6 +241,17 @@ func (sc *StatisticsController) StatisticsByRegion(c *gin.Context) {
overall.TotalDurationMs += r.TotalDurationMs
overall.TotalOriginalFileSize += r.TotalOriginalFileSize
overall.TotalCompressedSize += r.TotalCompressedSize
if r.FirstUsedAt != nil {
if overall.FirstUsedAt == nil || r.FirstUsedAt.Before(*overall.FirstUsedAt) {
overall.FirstUsedAt = r.FirstUsedAt
}
}
if r.LastUsedAt != nil {
if overall.LastUsedAt == nil || r.LastUsedAt.After(*overall.LastUsedAt) {
overall.LastUsedAt = r.LastUsedAt
}
}
}
if overall.Count > 0 {
mockdata/main.go
+110
View File
@@ -0,0 +1,110 @@
package main
import (
"fmt"
"math/rand"
"time"
"hr_receiver/config"
"hr_receiver/models"
)
func main() {
config.InitConfig()
config.ConnectDB()
// 生成100条测试数据
count := 100
records := make([]models.AIAnalysisRecord, 0, count)
for i := 0; i < count; i++ {
records = append(records, generateRecord())
}
if err := config.DB.CreateInBatches(records, 50).Error; err != nil {
panic("failed to insert mock data: " + err.Error())
}
fmt.Printf("成功插入 %d 条 AI 分析记录\n", count)
}
func generateRecord() models.AIAnalysisRecord {
// regionID 为 1 或 3
regionID := uint32(1)
if rand.Intn(2) == 1 {
regionID = 3
}
// sourceType: upload 或 cloud
sourceType := "upload"
if rand.Intn(2) == 1 {
sourceType = "cloud"
}
// docx 教案原始文件大小: 50KB ~ 500KB
docxSize := int64(rand.Intn(451*1024) + 50*1024)
// 心率 csv 原始文件大小: 约 80KB (70KB ~ 90KB)
csvSize := int64(rand.Intn(20*1024) + 70*1024)
// 步数 csv 原始文件大小: 约 20KB ~ 40KB (heart_rate_with_steps 时才有)
var stepCsvSize int64
analysisType := analysisType()
if analysisType == "heart_rate_with_steps" {
stepCsvSize = int64(rand.Intn(20*1024) + 20*1024)
}
originalFileSize := docxSize + csvSize + stepCsvSize
// 压缩后内容大小: csv 每4行保留1行，大约压缩为 25% + 表头；docx 提取文本后大约 30%~60%
compressedDocx := int64(float64(docxSize) * (0.3 + rand.Float64()*0.3))
compressedCsv := int64(float64(csvSize) * (0.22 + rand.Float64()*0.08)) // ~22%-30%
var compressedStepCsv int64
if stepCsvSize > 0 {
compressedStepCsv = int64(float64(stepCsvSize) * (0.22 + rand.Float64()*0.08))
}
compressedContentSize := compressedDocx + compressedCsv + compressedStepCsv
// prompt 大小 = 压缩后内容 + 提示词模板 (~1.5KB)
promptTemplateSize := 1500 + rand.Intn(500)
inputSizeBytes := int(compressedContentSize) + promptTemplateSize
// AI 输出大小: 3KB ~ 25KB (分析报告)
outputSizeBytes := rand.Intn(22*1024) + 3*1024
// token 估算: 中文混合场景，平均约 3.5 字节/token
inputTokens := inputSizeBytes / (3 + rand.Intn(2))
outputTokens := outputSizeBytes / (3 + rand.Intn(2))
// 分析时长: 主要和输出 token 数量相关，1分钟以内
// 基础延迟 500ms + 每token约 15~40ms
tokenLatency := int64(15 + rand.Intn(26))
durationMs := 500 + int64(outputTokens)*tokenLatency
if durationMs > 60000 {
durationMs = 60000 - int64(rand.Intn(5000))
}
// 上传时间: 最近 90 天内随机
uploadTime := time.Now().Add(-time.Duration(rand.Intn(90*24)) * time.Hour).Add(-time.Duration(rand.Intn(60)) * time.Minute).UnixMilli()
return models.AIAnalysisRecord{
RegionID: &regionID,
SourceType: sourceType,
InputTokens: inputTokens,
OutputTokens: outputTokens,
InputSizeBytes: inputSizeBytes,
OutputSizeBytes: outputSizeBytes,
DurationMs: durationMs,
OriginalFileSize: originalFileSize,
CompressedContentSize: compressedContentSize,
UploadTime: uploadTime,
}
}
func analysisType() string {
// 约 30% 的带步数分析
if rand.Intn(100) < 30 {
return "heart_rate_with_steps"
}
return "heart_rate_only"
}