mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-27 05:49:04 +01:00
262 lines
6.1 KiB
Go
262 lines
6.1 KiB
Go
// Copyright (C) 2022 NHR@FAU, University Erlangen-Nuremberg.
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// All rights reserved.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package metricdata
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import (
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"bufio"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"math"
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"os"
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"path"
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"path/filepath"
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"strconv"
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"time"
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"github.com/ClusterCockpit/cc-backend/internal/config"
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"github.com/ClusterCockpit/cc-backend/pkg/schema"
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)
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// For a given job, return the path of the `data.json`/`meta.json` file.
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// TODO: Implement Issue ClusterCockpit/ClusterCockpit#97
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func getPath(job *schema.Job, file string, checkLegacy bool) (string, error) {
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lvl1, lvl2 := fmt.Sprintf("%d", job.JobID/1000), fmt.Sprintf("%03d", job.JobID%1000)
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if !checkLegacy {
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return filepath.Join(JobArchivePath, job.Cluster, lvl1, lvl2, strconv.FormatInt(job.StartTime.Unix(), 10), file), nil
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}
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legacyPath := filepath.Join(JobArchivePath, job.Cluster, lvl1, lvl2, file)
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if _, err := os.Stat(legacyPath); errors.Is(err, os.ErrNotExist) {
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return filepath.Join(JobArchivePath, job.Cluster, lvl1, lvl2, strconv.FormatInt(job.StartTime.Unix(), 10), file), nil
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}
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return legacyPath, nil
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}
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// Assuming job is completed/archived, return the jobs metric data.
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func loadFromArchive(job *schema.Job) (schema.JobData, error) {
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filename, err := getPath(job, "data.json", true)
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if err != nil {
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return nil, err
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}
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data := cache.Get(filename, func() (value interface{}, ttl time.Duration, size int) {
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f, err := os.Open(filename)
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if err != nil {
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return err, 0, 1000
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}
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defer f.Close()
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var data schema.JobData
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if err := json.NewDecoder(bufio.NewReader(f)).Decode(&data); err != nil {
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return err, 0, 1000
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}
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return data, 1 * time.Hour, data.Size()
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})
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if err, ok := data.(error); ok {
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return nil, err
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}
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return data.(schema.JobData), nil
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}
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func loadMetaJson(job *schema.Job) (*schema.JobMeta, error) {
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filename, err := getPath(job, "meta.json", true)
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if err != nil {
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return nil, err
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}
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bytes, err := os.ReadFile(filename)
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if err != nil {
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return nil, err
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}
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var metaFile schema.JobMeta = schema.JobMeta{
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BaseJob: schema.JobDefaults,
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}
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if err := json.Unmarshal(bytes, &metaFile); err != nil {
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return nil, err
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}
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return &metaFile, nil
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}
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// If the job is archived, find its `meta.json` file and override the tags list
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// in that JSON file. If the job is not archived, nothing is done.
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func UpdateTags(job *schema.Job, tags []*schema.Tag) error {
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if job.State == schema.JobStateRunning {
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return nil
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}
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filename, err := getPath(job, "meta.json", true)
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if err != nil {
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return err
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}
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f, err := os.Open(filename)
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if err != nil {
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if os.IsNotExist(err) {
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return nil
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}
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return err
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}
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var metaFile schema.JobMeta = schema.JobMeta{
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BaseJob: schema.JobDefaults,
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}
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if err := json.NewDecoder(f).Decode(&metaFile); err != nil {
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return err
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}
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f.Close()
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metaFile.Tags = make([]*schema.Tag, 0)
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for _, tag := range tags {
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metaFile.Tags = append(metaFile.Tags, &schema.Tag{
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Name: tag.Name,
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Type: tag.Type,
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})
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}
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bytes, err := json.Marshal(metaFile)
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if err != nil {
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return err
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}
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return os.WriteFile(filename, bytes, 0644)
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}
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// Helper to metricdata.LoadAverages().
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func loadAveragesFromArchive(job *schema.Job, metrics []string, data [][]schema.Float) error {
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metaFile, err := loadMetaJson(job)
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if err != nil {
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return err
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}
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for i, m := range metrics {
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if stat, ok := metaFile.Statistics[m]; ok {
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data[i] = append(data[i], schema.Float(stat.Avg))
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} else {
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data[i] = append(data[i], schema.NaN)
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}
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}
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return nil
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}
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func GetStatistics(job *schema.Job) (map[string]schema.JobStatistics, error) {
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metaFile, err := loadMetaJson(job)
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if err != nil {
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return nil, err
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}
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return metaFile.Statistics, nil
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}
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// Writes a running job to the job-archive
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func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
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allMetrics := make([]string, 0)
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metricConfigs := config.GetCluster(job.Cluster).MetricConfig
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for _, mc := range metricConfigs {
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allMetrics = append(allMetrics, mc.Name)
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}
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// TODO: Talk about this! What resolutions to store data at...
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scopes := []schema.MetricScope{schema.MetricScopeNode}
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if job.NumNodes <= 8 {
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scopes = append(scopes, schema.MetricScopeCore)
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}
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jobData, err := LoadData(job, allMetrics, scopes, ctx)
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if err != nil {
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return nil, err
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}
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jobMeta := &schema.JobMeta{
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BaseJob: job.BaseJob,
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StartTime: job.StartTime.Unix(),
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Statistics: make(map[string]schema.JobStatistics),
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}
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for metric, data := range jobData {
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avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
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nodeData, ok := data["node"]
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if !ok {
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// TODO/FIXME: Calc average for non-node metrics as well!
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continue
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}
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for _, series := range nodeData.Series {
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avg += series.Statistics.Avg
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min = math.Min(min, series.Statistics.Min)
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max = math.Max(max, series.Statistics.Max)
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}
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jobMeta.Statistics[metric] = schema.JobStatistics{
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Unit: config.GetMetricConfig(job.Cluster, metric).Unit,
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Avg: avg / float64(job.NumNodes),
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Min: min,
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Max: max,
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}
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}
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// If the file based archive is disabled,
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// only return the JobMeta structure as the
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// statistics in there are needed.
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if !useArchive {
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return jobMeta, nil
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}
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dir, err := getPath(job, "", false)
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if err != nil {
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return nil, err
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}
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return jobMeta, writeFiles(dir, jobMeta, &jobData)
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}
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func writeFiles(dir string, jobMeta *schema.JobMeta, jobData *schema.JobData) error {
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if err := os.MkdirAll(dir, 0777); err != nil {
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return err
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}
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f, err := os.Create(path.Join(dir, "meta.json"))
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if err != nil {
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return err
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}
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if err := json.NewEncoder(f).Encode(jobMeta); err != nil {
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return err
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}
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if err := f.Close(); err != nil {
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return err
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}
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f, err = os.Create(path.Join(dir, "data.json"))
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if err != nil {
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return err
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}
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if err := json.NewEncoder(f).Encode(jobData); err != nil {
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return err
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}
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return f.Close()
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}
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// Used to import a non-running job into the job-archive.
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func ImportJob(job *schema.JobMeta, jobData *schema.JobData) error {
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dir, err := getPath(&schema.Job{
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BaseJob: job.BaseJob,
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StartTimeUnix: job.StartTime,
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StartTime: time.Unix(job.StartTime, 0),
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}, "", false)
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if err != nil {
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return err
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}
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return writeFiles(dir, job, jobData)
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}
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