mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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002c028f22
vmctl: support of the remote read protocol Signed-off-by: hagen1778 <roman@victoriametrics.com> Co-authored-by: hagen1778 <roman@victoriametrics.com>
436 lines
11 KiB
Go
436 lines
11 KiB
Go
package vm
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import (
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"bufio"
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"compress/gzip"
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"errors"
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"fmt"
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"io"
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"math"
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"net/http"
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"strings"
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/barpool"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/limiter"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/cheggaaa/pb/v3"
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)
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// Config contains list of params to configure
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// the Importer
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type Config struct {
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// VictoriaMetrics address to perform import requests
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// --httpListenAddr value for single node version
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// --httpListenAddr value of vmselect component for cluster version
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Addr string
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// Concurrency defines number of worker
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// performing the import requests concurrently
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Concurrency uint8
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// Whether to apply gzip compression
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Compress bool
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// AccountID for cluster version.
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// Empty value assumes it is a single node version
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AccountID string
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// BatchSize defines how many samples
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// importer collects before sending the import request
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BatchSize int
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// User name for basic auth
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User string
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// Password for basic auth
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Password string
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// SignificantFigures defines the number of significant figures to leave
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// in metric values before importing.
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// Zero value saves all the significant decimal places
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SignificantFigures int
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// RoundDigits defines the number of decimal digits after the point that must be left
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// in metric values before importing.
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RoundDigits int
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// ExtraLabels that will be added to all imported series. Must be in label=value format.
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ExtraLabels []string
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// RateLimit defines a data transfer speed in bytes per second.
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// Is applied to each worker (see Concurrency) independently.
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RateLimit int64
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// Whether to disable progress bar per VM worker
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DisableProgressBar bool
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}
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// Importer performs insertion of timeseries
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// via VictoriaMetrics import protocol
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// see https://docs.victoriametrics.com/#how-to-import-time-series-data
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type Importer struct {
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addr string
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importPath string
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compress bool
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user string
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password string
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close chan struct{}
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input chan *TimeSeries
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errors chan *ImportError
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rl *limiter.Limiter
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wg sync.WaitGroup
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once sync.Once
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s *stats
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}
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// ResetStats resets im stats.
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func (im *Importer) ResetStats() {
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im.s = &stats{
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startTime: time.Now(),
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}
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}
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// Stats returns im stats.
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func (im *Importer) Stats() string {
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return im.s.String()
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}
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// AddExtraLabelsToImportPath - adds extra labels query params to given url path.
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func AddExtraLabelsToImportPath(path string, extraLabels []string) (string, error) {
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dst := path
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separator := "?"
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for _, extraLabel := range extraLabels {
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if !strings.Contains(extraLabel, "=") {
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return path, fmt.Errorf("bad format for extra_label flag, it must be `key=value`, got: %q", extraLabel)
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}
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if strings.Contains(dst, "?") {
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separator = "&"
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}
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dst += fmt.Sprintf("%sextra_label=%s", separator, extraLabel)
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}
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return dst, nil
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}
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// NewImporter creates new Importer for the given cfg.
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func NewImporter(cfg Config) (*Importer, error) {
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if cfg.Concurrency < 1 {
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return nil, fmt.Errorf("concurrency can't be lower than 1")
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}
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addr := strings.TrimRight(cfg.Addr, "/")
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// if single version
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// see https://docs.victoriametrics.com/#how-to-import-time-series-data
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importPath := addr + "/api/v1/import"
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if cfg.AccountID != "" {
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// if cluster version
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// see https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format
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importPath = fmt.Sprintf("%s/insert/%s/prometheus/api/v1/import", addr, cfg.AccountID)
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}
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importPath, err := AddExtraLabelsToImportPath(importPath, cfg.ExtraLabels)
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if err != nil {
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return nil, err
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}
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im := &Importer{
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addr: addr,
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importPath: importPath,
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compress: cfg.Compress,
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user: cfg.User,
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password: cfg.Password,
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rl: limiter.NewLimiter(cfg.RateLimit),
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close: make(chan struct{}),
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input: make(chan *TimeSeries, cfg.Concurrency*4),
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errors: make(chan *ImportError, cfg.Concurrency),
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}
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if err := im.Ping(); err != nil {
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return nil, fmt.Errorf("ping to %q failed: %s", addr, err)
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}
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if cfg.BatchSize < 1 {
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cfg.BatchSize = 1e5
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}
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im.wg.Add(int(cfg.Concurrency))
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for i := 0; i < int(cfg.Concurrency); i++ {
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var bar *pb.ProgressBar
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if !cfg.DisableProgressBar {
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pbPrefix := fmt.Sprintf(`{{ green "VM worker %d:" }}`, i)
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bar = barpool.AddWithTemplate(pbPrefix+pbTpl, 0)
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}
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go func(bar *pb.ProgressBar) {
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defer im.wg.Done()
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im.startWorker(bar, cfg.BatchSize, cfg.SignificantFigures, cfg.RoundDigits)
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}(bar)
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}
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im.ResetStats()
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return im, nil
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}
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const pbTpl = `{{ (cycle . "←" "↖" "↑" "↗" "→" "↘" "↓" "↙" ) }} {{speed . "%s samples/s"}}`
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// ImportError is type of error generated
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// in case of unsuccessful import request
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type ImportError struct {
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// The batch of timeseries processed by importer at the moment
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Batch []*TimeSeries
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// The error that appeared during insert
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// If err is nil - no error happened and Batch
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// Is the latest delivered Batch.
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Err error
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}
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// Errors returns a channel for receiving
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// import errors if any
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func (im *Importer) Errors() chan *ImportError { return im.errors }
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// Input returns a channel for sending timeseries
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// that need to be imported
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func (im *Importer) Input(ts *TimeSeries) error {
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select {
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case <-im.close:
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return fmt.Errorf("importer is closed")
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case im.input <- ts:
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return nil
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case err := <-im.errors:
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if err != nil && err.Err != nil {
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return err.Err
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}
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return fmt.Errorf("process aborted")
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}
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}
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// Close sends signal to all goroutines to exit
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// and waits until they are finished
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func (im *Importer) Close() {
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im.once.Do(func() {
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close(im.close)
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close(im.input)
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im.wg.Wait()
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close(im.errors)
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})
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}
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func (im *Importer) startWorker(bar *pb.ProgressBar, batchSize, significantFigures, roundDigits int) {
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var batch []*TimeSeries
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var dataPoints int
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var waitForBatch time.Time
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for {
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select {
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case <-im.close:
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for ts := range im.input {
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ts = roundTimeseriesValue(ts, significantFigures, roundDigits)
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batch = append(batch, ts)
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}
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exitErr := &ImportError{
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Batch: batch,
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}
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if err := im.Import(batch); err != nil {
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exitErr.Err = err
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}
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im.errors <- exitErr
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return
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case ts, ok := <-im.input:
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if !ok {
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continue
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}
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// init waitForBatch when first
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// value was received
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if waitForBatch.IsZero() {
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waitForBatch = time.Now()
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}
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ts = roundTimeseriesValue(ts, significantFigures, roundDigits)
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batch = append(batch, ts)
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dataPoints += len(ts.Values)
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if bar != nil {
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bar.Add(len(ts.Values))
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}
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if dataPoints < batchSize {
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continue
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}
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im.s.Lock()
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im.s.idleDuration += time.Since(waitForBatch)
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im.s.Unlock()
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if err := im.flush(batch); err != nil {
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im.errors <- &ImportError{
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Batch: batch,
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Err: err,
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}
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// make a new batch, since old one was referenced as err
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batch = make([]*TimeSeries, len(batch))
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}
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dataPoints = 0
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batch = batch[:0]
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waitForBatch = time.Now()
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}
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}
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}
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const (
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// TODO: make configurable
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backoffRetries = 5
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backoffFactor = 1.7
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backoffMinDuration = time.Second
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)
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func (im *Importer) flush(b []*TimeSeries) error {
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var err error
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for i := 0; i < backoffRetries; i++ {
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err = im.Import(b)
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if err == nil {
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return nil
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}
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if errors.Is(err, ErrBadRequest) {
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return err // fail fast if not recoverable
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}
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im.s.Lock()
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im.s.retries++
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im.s.Unlock()
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backoff := float64(backoffMinDuration) * math.Pow(backoffFactor, float64(i))
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time.Sleep(time.Duration(backoff))
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}
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return fmt.Errorf("import failed with %d retries: %s", backoffRetries, err)
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}
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// Ping sends a ping to im.addr.
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func (im *Importer) Ping() error {
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url := fmt.Sprintf("%s/health", im.addr)
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req, err := http.NewRequest("GET", url, nil)
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if err != nil {
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return fmt.Errorf("cannot create request to %q: %s", im.addr, err)
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}
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if im.user != "" {
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req.SetBasicAuth(im.user, im.password)
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}
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resp, err := http.DefaultClient.Do(req)
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if err != nil {
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return err
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}
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if resp.StatusCode != http.StatusOK {
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return fmt.Errorf("bad status code: %d", resp.StatusCode)
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}
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return nil
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}
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// Import imports tsBatch.
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func (im *Importer) Import(tsBatch []*TimeSeries) error {
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if len(tsBatch) < 1 {
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return nil
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}
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pr, pw := io.Pipe()
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req, err := http.NewRequest("POST", im.importPath, pr)
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if err != nil {
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return fmt.Errorf("cannot create request to %q: %s", im.addr, err)
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}
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if im.user != "" {
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req.SetBasicAuth(im.user, im.password)
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}
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if im.compress {
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req.Header.Set("Content-Encoding", "gzip")
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}
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errCh := make(chan error)
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go func() {
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errCh <- do(req)
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close(errCh)
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}()
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w := io.Writer(pw)
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if im.compress {
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zw, err := gzip.NewWriterLevel(w, 1)
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if err != nil {
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return fmt.Errorf("unexpected error when creating gzip writer: %s", err)
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}
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w = zw
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}
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w = limiter.NewWriteLimiter(w, im.rl)
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bw := bufio.NewWriterSize(w, 16*1024)
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var totalSamples, totalBytes int
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for _, ts := range tsBatch {
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n, err := ts.write(bw)
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if err != nil {
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return fmt.Errorf("write err: %w", err)
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}
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totalBytes += n
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totalSamples += len(ts.Values)
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}
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if err := bw.Flush(); err != nil {
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return err
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}
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if closer, ok := w.(io.Closer); ok {
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err := closer.Close()
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if err != nil {
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return err
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}
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}
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if err := pw.Close(); err != nil {
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return err
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}
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requestErr := <-errCh
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if requestErr != nil {
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return fmt.Errorf("import request error for %q: %w", im.addr, requestErr)
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}
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im.s.Lock()
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im.s.bytes += uint64(totalBytes)
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im.s.samples += uint64(totalSamples)
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im.s.requests++
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im.s.Unlock()
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return nil
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}
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// ErrBadRequest represents bad request error.
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var ErrBadRequest = errors.New("bad request")
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func do(req *http.Request) error {
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resp, err := http.DefaultClient.Do(req)
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if err != nil {
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return fmt.Errorf("unexpected error when performing request: %s", err)
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}
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defer func() {
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_ = resp.Body.Close()
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}()
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if resp.StatusCode != http.StatusNoContent {
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return fmt.Errorf("failed to read response body for status code %d: %s", resp.StatusCode, err)
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}
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if resp.StatusCode == http.StatusBadRequest {
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return fmt.Errorf("%w: unexpected response code %d: %s", ErrBadRequest, resp.StatusCode, string(body))
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}
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return fmt.Errorf("unexpected response code %d: %s", resp.StatusCode, string(body))
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}
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return nil
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}
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func byteCountSI(b int64) string {
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const unit = 1000
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if b < unit {
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return fmt.Sprintf("%d B", b)
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}
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div, exp := int64(unit), 0
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for n := b / unit; n >= unit; n /= unit {
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div *= unit
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exp++
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}
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return fmt.Sprintf("%.1f %cB",
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float64(b)/float64(div), "kMGTPE"[exp])
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}
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func roundTimeseriesValue(ts *TimeSeries, significantFigures, roundDigits int) *TimeSeries {
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if significantFigures > 0 {
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for i, v := range ts.Values {
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ts.Values[i] = decimal.RoundToSignificantFigures(v, significantFigures)
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}
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}
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if roundDigits < 100 {
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for i, v := range ts.Values {
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ts.Values[i] = decimal.RoundToDecimalDigits(v, roundDigits)
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}
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}
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return ts
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}
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