426 lines
12 KiB
Go
426 lines
12 KiB
Go
package tools
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import (
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"compress/gzip"
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"context"
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"database/sql"
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"errors"
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"fmt"
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"io"
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"log"
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"math"
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"os"
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"path/filepath"
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"strings"
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"time"
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"weatherstation/internal/database"
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)
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// Exporter 负责每10分钟导出 CSV（含ZTD融合）
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type Exporter struct {
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pg *sql.DB
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my *sql.DB
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loc *time.Location // Asia/Shanghai
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logger *log.Logger // 专用日志记录器
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}
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func NewExporter() *Exporter {
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loc, _ := time.LoadLocation("Asia/Shanghai")
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if loc == nil {
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loc = time.FixedZone("CST", 8*3600)
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}
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// 创建导出专用日志文件（追加模式）
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if err := os.MkdirAll("export_data", 0o755); err != nil {
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log.Printf("创建导出日志目录失败: %v", err)
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}
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f, err := os.OpenFile(filepath.Join("export_data", "export.log"),
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os.O_CREATE|os.O_APPEND|os.O_WRONLY, 0o644)
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if err != nil {
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log.Printf("创建导出日志文件失败: %v", err)
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}
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// 使用自定义日志格式，包含时间戳
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logger := log.New(f, "", log.Ldate|log.Ltime|log.Lmicroseconds)
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return &Exporter{
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pg: database.GetDB(),
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my: database.GetMySQL(),
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loc: loc,
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logger: logger,
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}
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}
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// Start 启动调度循环（阻塞）
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func (e *Exporter) Start(ctx context.Context) error {
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for {
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select {
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case <-ctx.Done():
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return ctx.Err()
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default:
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}
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now := time.Now().In(e.loc)
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// 下一个10分钟边界 + 10秒
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next := alignToNextBucketEnd(now, 10).Add(10 * time.Second)
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e.logger.Printf("调度: 当前=%s, 下次执行=%s (延迟10秒)", now.Format("2006-01-02 15:04:05"), next.Format("2006-01-02 15:04:05"))
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delay := time.Until(next)
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if delay > 0 {
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timer := time.NewTimer(delay)
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select {
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case <-ctx.Done():
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timer.Stop()
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return ctx.Err()
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case <-timer.C:
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}
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}
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// 当前时间在 21:11:xx 时，应导出桶 [21:00, 21:10)
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currentTime := time.Now().In(e.loc)
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bucketEnd := alignToPrevBucketEnd(currentTime, 10)
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bucketStart := bucketEnd.Add(-10 * time.Minute)
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e.logger.Printf("当前时间=%s, 导出桶开始时间=%s, 桶结束时间=%s",
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currentTime.Format("2006-01-02 15:04:05"),
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bucketStart.Format("2006-01-02 15:04:05"),
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bucketEnd.Format("2006-01-02 15:04:05"))
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if err := e.exportBucket(ctx, bucketStart, bucketEnd); err != nil {
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e.logger.Printf("导出桶 %s-%s 失败: %v", bucketStart.Format("2006-01-02 15:04:05"), bucketEnd.Format("2006-01-02 15:04:05"), err)
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}
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}
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}
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// exportBucket 导出一个10分钟桶（CST）
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func (e *Exporter) exportBucket(ctx context.Context, bucketStart, bucketEnd time.Time) error {
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utcDay := bucketEnd.UTC().Format("2006-01-02")
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outDir := filepath.Join("export_data")
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histDir := filepath.Join("export_data", "history")
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if err := os.MkdirAll(histDir, 0o755); err != nil {
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return err
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}
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activePath := filepath.Join(outDir, fmt.Sprintf("weather_data_%s.csv", utcDay))
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e.logger.Printf("开始导出: 桶开始时间=%s, 桶结束时间=%s, 文件=%s",
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bucketStart.Format("2006-01-02 15:04:05"),
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bucketEnd.Format("2006-01-02 15:04:05"),
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activePath)
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// 先查询所有符合条件的站点，用于后续比对缺失
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var eligibleStations []struct {
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StationID string
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DeviceID string
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}
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stationsRows, err := e.pg.QueryContext(ctx, `
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SELECT station_id, device_id
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FROM stations
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WHERE device_type = 'WH65LP'
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AND latitude IS NOT NULL AND longitude IS NOT NULL
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AND latitude <> 0 AND longitude <> 0
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ORDER BY station_id
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`)
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if err != nil {
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e.logger.Printf("查询合格站点失败: %v", err)
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} else {
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defer stationsRows.Close()
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for stationsRows.Next() {
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var station struct {
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StationID string
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DeviceID string
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}
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if err := stationsRows.Scan(&station.StationID, &station.DeviceID); err == nil {
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eligibleStations = append(eligibleStations, station)
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}
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}
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e.logger.Printf("合格站点总数: %d", len(eligibleStations))
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for _, s := range eligibleStations {
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e.logger.Printf("合格站点: station_id=%s, device_id=%s", s.StationID, s.DeviceID)
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}
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}
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// 轮转上一 UTC 日的文件（若存在且未压缩）
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if err := rotatePreviousUTC(outDir, histDir, utcDay); err != nil {
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e.logger.Printf("轮转上一日文件失败: %v", err)
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}
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needHeader := ensureFileWithHeader(activePath)
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// 查询该桶的数据 - 使用桶开始时间查询
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e.logger.Printf("查询数据: 使用bucket_start=%s", bucketStart.Format("2006-01-02 15:04:05"))
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rows, err := e.pg.QueryContext(ctx, `
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SELECT
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s.latitude,
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s.longitude,
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s.device_id,
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s.altitude,
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r.pressure_hpa_x100,
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r.temp_c_x100,
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r.wind_speed_ms_x1000,
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r.wind_dir_deg,
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r.humidity_pct,
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r.bucket_start,
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s.station_id
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FROM stations s
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JOIN rs485_weather_10min r ON r.station_id = s.station_id AND r.bucket_start = $1
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WHERE s.device_type = 'WH65LP'
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AND s.latitude IS NOT NULL AND s.longitude IS NOT NULL
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AND s.latitude <> 0 AND s.longitude <> 0
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ORDER BY s.station_id
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`, bucketStart)
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if err != nil {
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return fmt.Errorf("查询10分钟数据失败: %v", err)
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}
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defer rows.Close()
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f, err := os.OpenFile(activePath, os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0o644)
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if err != nil {
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return err
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}
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defer f.Close()
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if needHeader {
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if _, err := f.WriteString(headerLine() + "\n"); err != nil {
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return err
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}
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}
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var total, ztdHit, ztdMiss int
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processedStationIDs := make(map[string]bool)
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for rows.Next() {
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var (
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lat, lon, elev sql.NullFloat64
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deviceID string
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pX100, tX100 sql.NullInt64
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wsX1000 sql.NullInt64
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wdDeg sql.NullInt64
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rh sql.NullInt64
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bucketStartTS time.Time
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stationID string
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)
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if err := rows.Scan(&lat, &lon, &deviceID, &elev, &pX100, &tX100, &wsX1000, &wdDeg, &rh, &bucketStartTS, &stationID); err != nil {
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e.logger.Printf("扫描行失败: %v", err)
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continue
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}
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processedStationIDs[stationID] = true
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e.logger.Printf("处理站点: station_id=%s, device_id=%s, 经度=%.6f, 纬度=%.6f", stationID, deviceID, lon.Float64, lat.Float64)
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// CSV 使用桶末时间作为 date_time（用于表意 10 分钟区间的右端点）
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dateTimeStr := bucketEnd.In(e.loc).Format("2006-01-02 15:04:05")
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e.logger.Printf("站点 %s: 写出时间(桶末)=%s，用于 ZTD 对齐参考", stationID, dateTimeStr)
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var pressureStr, tempStr, wsStr, wdStr, rhStr string
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if pX100.Valid {
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pressureStr = fmtFloat(float64(pX100.Int64)/100.0, 2)
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}
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if tX100.Valid {
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tempStr = fmtFloat(float64(tX100.Int64)/100.0, 2)
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}
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if wsX1000.Valid {
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wsStr = fmtFloat(float64(wsX1000.Int64)/1000.0, 3)
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}
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if wdDeg.Valid {
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wdStr = fmtFloat(float64(wdDeg.Int64), 0)
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}
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if rh.Valid {
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rhStr = fmtFloat(float64(rh.Int64), 0)
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}
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// 使用device_id查询ZTD，使用桶末时间
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ztdStr := e.lookupZTD(ctx, deviceID, bucketEnd)
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if ztdStr != "" {
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ztdHit++
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e.logger.Printf("站点 %s (device_id=%s): ZTD 数据正常, 值=%s", stationID, deviceID, ztdStr)
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} else {
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ztdMiss++
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e.logger.Printf("站点 %s (device_id=%s): ZTD 数据缺失或超出5分钟窗口", stationID, deviceID)
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}
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var b strings.Builder
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b.WriteString(fmtNullFloat(lat))
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b.WriteByte(',')
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b.WriteString(fmtNullFloat(lon))
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b.WriteByte(',')
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b.WriteString(deviceID) // CSV输出用device_id作为station_id
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b.WriteByte(',')
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b.WriteByte(',') // station_name 留空
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b.WriteString(dateTimeStr)
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b.WriteByte(',')
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b.WriteString(fmtNullFloat(elev))
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b.WriteByte(',')
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b.WriteString(pressureStr)
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b.WriteByte(',')
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b.WriteString(tempStr)
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b.WriteByte(',')
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b.WriteByte(',') // dewpoint 留空
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b.WriteString(wsStr)
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b.WriteByte(',')
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b.WriteString(wdStr)
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b.WriteByte(',')
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b.WriteString(rhStr)
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b.WriteByte(',')
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b.WriteString(ztdStr)
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b.WriteByte(',') // pwv 留空
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if _, err := f.WriteString(b.String() + "\n"); err != nil {
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e.logger.Printf("写入CSV失败: %v", err)
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}
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total++
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}
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if err := rows.Err(); err != nil {
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return err
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}
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// 检查哪些站点在这个桶完全没有数据
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var missingCount int
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for _, station := range eligibleStations {
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if !processedStationIDs[station.StationID] {
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e.logger.Printf("站点缺失: station_id=%s, device_id=%s (rs485_weather_10min 表中未找到记录)",
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station.StationID, station.DeviceID)
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missingCount++
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}
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}
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e.logger.Printf("导出完成: 桶开始时间=%s, 桶结束时间=%s, 总行数=%d, ZTD命中=%d, ZTD未命中=%d, 缺失站点数=%d",
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bucketStart.Format("2006-01-02 15:04:05"),
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bucketEnd.Format("2006-01-02 15:04:05"),
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total, ztdHit, ztdMiss, missingCount)
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return nil
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}
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func (e *Exporter) lookupZTD(ctx context.Context, deviceID string, bucketEnd time.Time) string {
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if e.my == nil {
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return ""
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}
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var ztd sql.NullFloat64
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var ts time.Time
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err := e.my.QueryRowContext(ctx, `
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SELECT ztd, timestamp FROM rtk_data
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WHERE station_id = ?
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AND ABS(TIMESTAMPDIFF(MINUTE, timestamp, ?)) <= 5
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LIMIT 1
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`, deviceID, bucketEnd).Scan(&ztd, &ts)
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if err != nil {
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if !errors.Is(err, sql.ErrNoRows) {
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e.logger.Printf("查询ZTD失败: station_id=%s, error=%v", deviceID, err)
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}
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return ""
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}
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if !ztd.Valid {
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e.logger.Printf("站点 device_id=%s: ZTD值为NULL", deviceID)
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return ""
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}
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return fmtFloat(ztd.Float64*100.0, -1)
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}
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func ensureFileWithHeader(path string) bool {
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if _, err := os.Stat(path); err == nil {
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return false
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}
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dir := filepath.Dir(path)
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_ = os.MkdirAll(dir, 0o755)
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f, err := os.OpenFile(path, os.O_CREATE|os.O_WRONLY, 0o644)
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if err != nil {
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log.Printf("create csv failed: %v", err)
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return false
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}
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_ = f.Close()
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return true
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}
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func headerLine() string {
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return "latitude,longitude,station_id,station_name,date_time,elevation,pressure,temperature,dewpoint,wind_speed,wind_direction,relative_humidity,ztd,pwv"
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}
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func alignToNextBucketEnd(t time.Time, minutes int) time.Time {
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m := t.Minute()
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next := (m/minutes + 1) * minutes
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dt := time.Duration(next-m) * time.Minute
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return t.Truncate(time.Minute).Add(dt).Truncate(time.Minute)
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}
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func alignToPrevBucketEnd(t time.Time, minutes int) time.Time {
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m := t.Minute()
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prev := (m / minutes) * minutes
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// 返回不超过当前时间的10分钟整点（例如 21:21 -> 21:20）
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return t.Truncate(time.Minute).Add(time.Duration(prev-m) * time.Minute)
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}
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func fmtNullFloat(v sql.NullFloat64) string {
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if v.Valid {
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return fmtFloat(v.Float64, -1)
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}
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return ""
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}
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// fmtFloat: prec < 0 表示用不固定小数（去除无意义零），否则保留指定小数位
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func fmtFloat(fv float64, prec int) string {
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if prec >= 0 {
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return fmt.Sprintf("%.*f", prec, fv)
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}
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s := fmt.Sprintf("%.10f", fv)
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s = strings.TrimRight(s, "0")
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s = strings.TrimRight(s, ".")
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if s == "-0" {
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s = "0"
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}
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if s == "" || s == "-" || s == "+" || s == "." {
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return "0"
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}
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if math.Abs(fv) < 1e-9 {
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return "0"
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}
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return s
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}
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// rotatePreviousUTC 将上一UTC日的活跃CSV压缩到history目录
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func rotatePreviousUTC(outDir, histDir, currentUTC string) error {
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// 计算昨日 UTC 日期
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curDay, err := time.Parse("2006-01-02", currentUTC)
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if err != nil {
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return nil
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}
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yesterday := curDay.Add(-24 * time.Hour).Format("2006-01-02")
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prevPath := filepath.Join(outDir, fmt.Sprintf("weather_data_%s.csv", yesterday))
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gzPath := filepath.Join(histDir, fmt.Sprintf("weather_data_%s.csv.gz", yesterday))
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if _, err := os.Stat(prevPath); err != nil {
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return nil
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}
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if _, err := os.Stat(gzPath); err == nil {
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// 已压缩
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return nil
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}
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return gzipFile(prevPath, gzPath)
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}
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func gzipFile(src, dst string) error {
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srcF, err := os.Open(src)
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if err != nil {
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return err
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}
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defer srcF.Close()
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if err := os.MkdirAll(filepath.Dir(dst), 0o755); err != nil {
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return err
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}
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dstF, err := os.Create(dst)
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if err != nil {
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return err
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}
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defer func() {
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_ = dstF.Close()
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}()
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gw := gzip.NewWriter(dstF)
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gw.Name = filepath.Base(src)
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gw.ModTime = time.Now()
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defer func() { _ = gw.Close() }()
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if _, err := io.Copy(gw, srcF); err != nil {
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return err
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}
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// 压缩成功后删除原文件
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return os.Remove(src)
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}
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