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feat(coderd): add times_used
to coder_app
s in insights API (#13292)
For now, only applied to `coder_app`s, same logic can be implemented for VS Code, SSH, etc. Part of #13099
This commit is contained in:
committed by
GitHub
parent
63e06853eb
commit
a0fce363cd
4
coderd/apidoc/docs.go
generated
4
coderd/apidoc/docs.go
generated
@ -11372,6 +11372,10 @@ const docTemplate = `{
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"format": "uuid"
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}
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},
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"times_used": {
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"type": "integer",
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"example": 2
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},
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"type": {
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"allOf": [
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{
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4
coderd/apidoc/swagger.json
generated
4
coderd/apidoc/swagger.json
generated
@ -10272,6 +10272,10 @@
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"format": "uuid"
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}
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},
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"times_used": {
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"type": "integer",
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"example": 2
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},
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"type": {
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"allOf": [
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{
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@ -3149,6 +3149,30 @@ func (q *FakeQuerier) GetTemplateAppInsights(ctx context.Context, arg database.G
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GROUP BY
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start_time, user_id, slug, display_name, icon
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),
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-- Analyze the users unique app usage across all templates. Count
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-- usage across consecutive intervals as continuous usage.
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times_used AS (
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SELECT DISTINCT ON (user_id, slug, display_name, icon, uniq)
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slug,
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display_name,
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icon,
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-- Turn start_time into a unique identifier that identifies a users
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-- continuous app usage. The value of uniq is otherwise garbage.
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--
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-- Since we're aggregating per user app usage across templates,
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-- there can be duplicate start_times. To handle this, we use the
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-- dense_rank() function, otherwise row_number() would suffice.
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start_time - (
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dense_rank() OVER (
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PARTITION BY
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user_id, slug, display_name, icon
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ORDER BY
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start_time
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) * '30 minutes'::interval
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) AS uniq
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FROM
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template_usage_stats_with_apps
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),
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*/
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// Due to query optimizations, this logic is somewhat inverted from
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@ -3160,12 +3184,19 @@ func (q *FakeQuerier) GetTemplateAppInsights(ctx context.Context, arg database.G
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DisplayName string
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Icon string
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}
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type appTimesUsedGroupBy struct {
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UserID uuid.UUID
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Slug string
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DisplayName string
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Icon string
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}
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type appInsightsRow struct {
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appInsightsGroupBy
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TemplateIDs []uuid.UUID
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AppUsageMins int64
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}
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appInsightRows := make(map[appInsightsGroupBy]appInsightsRow)
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appTimesUsedRows := make(map[appTimesUsedGroupBy]map[time.Time]struct{})
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// FROM
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for _, stat := range q.templateUsageStats {
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// WHERE
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@ -3201,9 +3232,42 @@ func (q *FakeQuerier) GetTemplateAppInsights(ctx context.Context, arg database.G
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row.TemplateIDs = append(row.TemplateIDs, stat.TemplateID)
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row.AppUsageMins = least(row.AppUsageMins+appUsage, 30)
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appInsightRows[key] = row
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// Prepare to do times_used calculation, distinct start times.
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timesUsedKey := appTimesUsedGroupBy{
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UserID: stat.UserID,
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Slug: slug,
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DisplayName: app.DisplayName,
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Icon: app.Icon,
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}
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if appTimesUsedRows[timesUsedKey] == nil {
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appTimesUsedRows[timesUsedKey] = make(map[time.Time]struct{})
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}
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// This assigns a distinct time, so we don't need to
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// dense_rank() later on, we can simply do row_number().
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appTimesUsedRows[timesUsedKey][stat.StartTime] = struct{}{}
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}
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}
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appTimesUsedTempRows := make(map[appTimesUsedGroupBy][]time.Time)
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for key, times := range appTimesUsedRows {
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for t := range times {
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appTimesUsedTempRows[key] = append(appTimesUsedTempRows[key], t)
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}
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}
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for _, times := range appTimesUsedTempRows {
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slices.SortFunc(times, func(a, b time.Time) int {
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return int(a.Sub(b))
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})
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}
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for key, times := range appTimesUsedTempRows {
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uniq := make(map[time.Time]struct{})
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for i, t := range times {
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uniq[t.Add(-(30 * time.Minute * time.Duration(i)))] = struct{}{}
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}
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appTimesUsedRows[key] = uniq
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}
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/*
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-- Even though we allow identical apps to be aggregated across
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-- templates, we still want to be able to report which templates
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@ -3288,14 +3352,20 @@ func (q *FakeQuerier) GetTemplateAppInsights(ctx context.Context, arg database.G
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var rows []database.GetTemplateAppInsightsRow
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for key, gr := range groupedRows {
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rows = append(rows, database.GetTemplateAppInsightsRow{
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row := database.GetTemplateAppInsightsRow{
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TemplateIDs: templateRows[key].TemplateIDs,
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ActiveUsers: int64(len(uniqueSortedUUIDs(gr.ActiveUserIDs))),
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Slug: key.Slug,
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DisplayName: key.DisplayName,
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Icon: key.Icon,
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UsageSeconds: gr.UsageSeconds,
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})
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}
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for tuk, uniq := range appTimesUsedRows {
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if key.Slug == tuk.Slug && key.DisplayName == tuk.DisplayName && key.Icon == tuk.Icon {
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row.TimesUsed += int64(len(uniq))
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}
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}
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rows = append(rows, row)
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}
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// NOTE(mafredri): Add sorting if we decide on how to handle PostgreSQL collations.
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@ -1805,7 +1805,7 @@ WITH
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apps.slug,
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apps.display_name,
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apps.icon,
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tus.app_usage_mins
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(tus.app_usage_mins -> apps.slug)::smallint AS usage_mins
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FROM
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apps
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JOIN
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@ -1829,14 +1829,36 @@ WITH
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display_name,
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icon,
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-- See motivation in GetTemplateInsights for LEAST(SUM(n), 30).
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LEAST(SUM(app_usage.value::smallint), 30) AS usage_mins
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LEAST(SUM(usage_mins), 30) AS usage_mins
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FROM
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template_usage_stats_with_apps, jsonb_each(app_usage_mins) AS app_usage
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WHERE
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app_usage.key = slug
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template_usage_stats_with_apps
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GROUP BY
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start_time, user_id, slug, display_name, icon
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),
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-- Analyze the users unique app usage across all templates. Count
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-- usage across consecutive intervals as continuous usage.
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times_used AS (
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SELECT DISTINCT ON (user_id, slug, display_name, icon, uniq)
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slug,
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display_name,
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icon,
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-- Turn start_time into a unique identifier that identifies a users
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-- continuous app usage. The value of uniq is otherwise garbage.
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--
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-- Since we're aggregating per user app usage across templates,
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-- there can be duplicate start_times. To handle this, we use the
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-- dense_rank() function, otherwise row_number() would suffice.
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start_time - (
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dense_rank() OVER (
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PARTITION BY
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user_id, slug, display_name, icon
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ORDER BY
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start_time
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) * '30 minutes'::interval
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) AS uniq
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FROM
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template_usage_stats_with_apps
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),
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-- Even though we allow identical apps to be aggregated across
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-- templates, we still want to be able to report which templates
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-- the data comes from.
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@ -1858,7 +1880,17 @@ SELECT
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ai.slug,
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ai.display_name,
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ai.icon,
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(SUM(ai.usage_mins) * 60)::bigint AS usage_seconds
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(SUM(ai.usage_mins) * 60)::bigint AS usage_seconds,
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COALESCE((
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SELECT
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COUNT(*)
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FROM
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times_used
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WHERE
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times_used.slug = ai.slug
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AND times_used.display_name = ai.display_name
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AND times_used.icon = ai.icon
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), 0)::bigint AS times_used
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FROM
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app_insights AS ai
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JOIN
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@ -1884,6 +1916,7 @@ type GetTemplateAppInsightsRow struct {
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DisplayName string `db:"display_name" json:"display_name"`
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Icon string `db:"icon" json:"icon"`
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UsageSeconds int64 `db:"usage_seconds" json:"usage_seconds"`
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TimesUsed int64 `db:"times_used" json:"times_used"`
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}
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// GetTemplateAppInsights returns the aggregate usage of each app in a given
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@ -1905,6 +1938,7 @@ func (q *sqlQuerier) GetTemplateAppInsights(ctx context.Context, arg GetTemplate
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&i.DisplayName,
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&i.Icon,
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&i.UsageSeconds,
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&i.TimesUsed,
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); err != nil {
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return nil, err
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}
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@ -249,7 +249,7 @@ WITH
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apps.slug,
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apps.display_name,
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apps.icon,
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tus.app_usage_mins
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(tus.app_usage_mins -> apps.slug)::smallint AS usage_mins
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FROM
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apps
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JOIN
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@ -273,14 +273,36 @@ WITH
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display_name,
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icon,
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-- See motivation in GetTemplateInsights for LEAST(SUM(n), 30).
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LEAST(SUM(app_usage.value::smallint), 30) AS usage_mins
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LEAST(SUM(usage_mins), 30) AS usage_mins
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FROM
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template_usage_stats_with_apps, jsonb_each(app_usage_mins) AS app_usage
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WHERE
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app_usage.key = slug
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template_usage_stats_with_apps
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GROUP BY
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start_time, user_id, slug, display_name, icon
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),
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-- Analyze the users unique app usage across all templates. Count
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-- usage across consecutive intervals as continuous usage.
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times_used AS (
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SELECT DISTINCT ON (user_id, slug, display_name, icon, uniq)
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slug,
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display_name,
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icon,
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-- Turn start_time into a unique identifier that identifies a users
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-- continuous app usage. The value of uniq is otherwise garbage.
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--
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-- Since we're aggregating per user app usage across templates,
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-- there can be duplicate start_times. To handle this, we use the
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-- dense_rank() function, otherwise row_number() would suffice.
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start_time - (
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dense_rank() OVER (
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PARTITION BY
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user_id, slug, display_name, icon
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ORDER BY
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start_time
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) * '30 minutes'::interval
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) AS uniq
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FROM
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template_usage_stats_with_apps
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),
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-- Even though we allow identical apps to be aggregated across
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-- templates, we still want to be able to report which templates
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-- the data comes from.
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@ -302,7 +324,17 @@ SELECT
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ai.slug,
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ai.display_name,
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ai.icon,
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(SUM(ai.usage_mins) * 60)::bigint AS usage_seconds
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(SUM(ai.usage_mins) * 60)::bigint AS usage_seconds,
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COALESCE((
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SELECT
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COUNT(*)
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FROM
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times_used
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WHERE
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times_used.slug = ai.slug
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AND times_used.display_name = ai.display_name
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AND times_used.icon = ai.icon
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), 0)::bigint AS times_used
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FROM
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app_insights AS ai
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JOIN
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@ -543,6 +543,7 @@ func convertTemplateInsightsApps(usage database.GetTemplateInsightsRow, appUsage
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Slug: app.Slug,
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Icon: app.Icon,
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Seconds: app.UsageSeconds,
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TimesUsed: app.TimesUsed,
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})
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}
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@ -15,7 +15,8 @@
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"display_name": "Visual Studio Code",
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"slug": "vscode",
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"icon": "/icon/code.svg",
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"seconds": 3600
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"seconds": 3600,
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"times_used": 0
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},
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{
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"template_ids": [],
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@ -23,7 +24,8 @@
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"display_name": "JetBrains",
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"slug": "jetbrains",
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"icon": "/icon/intellij.svg",
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"seconds": 0
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"seconds": 0,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -33,7 +35,8 @@
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"display_name": "Web Terminal",
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"slug": "reconnecting-pty",
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"icon": "/icon/terminal.svg",
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"seconds": 7200
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"seconds": 7200,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -43,7 +46,8 @@
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"display_name": "SSH",
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"slug": "ssh",
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"icon": "/icon/terminal.svg",
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"seconds": 10800
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"seconds": 10800,
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"times_used": 0
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},
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{
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"template_ids": [],
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@ -51,7 +55,8 @@
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"display_name": "SFTP",
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"slug": "sftp",
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"icon": "/icon/terminal.svg",
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"seconds": 0
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"seconds": 0,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -61,7 +66,8 @@
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"display_name": "app1",
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"slug": "app1",
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"icon": "/icon1.png",
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"seconds": 25200
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"seconds": 25200,
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"times_used": 2
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}
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],
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"parameters_usage": []
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@ -15,7 +15,8 @@
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"display_name": "Visual Studio Code",
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"slug": "vscode",
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"icon": "/icon/code.svg",
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"seconds": 3600
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"seconds": 3600,
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"times_used": 0
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},
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{
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"template_ids": [],
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@ -23,7 +24,8 @@
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"display_name": "JetBrains",
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"slug": "jetbrains",
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"icon": "/icon/intellij.svg",
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"seconds": 0
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"seconds": 0,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -33,7 +35,8 @@
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"display_name": "Web Terminal",
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"slug": "reconnecting-pty",
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"icon": "/icon/terminal.svg",
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"seconds": 7200
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"seconds": 7200,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -43,7 +46,8 @@
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"display_name": "SSH",
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"slug": "ssh",
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"icon": "/icon/terminal.svg",
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"seconds": 10800
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"seconds": 10800,
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"times_used": 0
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},
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{
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"template_ids": [],
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@ -51,7 +55,8 @@
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"display_name": "SFTP",
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"slug": "sftp",
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"icon": "/icon/terminal.svg",
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"seconds": 0
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"seconds": 0,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -61,7 +66,8 @@
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"display_name": "app1",
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"slug": "app1",
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"icon": "/icon1.png",
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"seconds": 25200
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"seconds": 25200,
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"times_used": 2
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}
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],
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"parameters_usage": []
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|
@ -18,7 +18,8 @@
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"display_name": "Visual Studio Code",
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"slug": "vscode",
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"icon": "/icon/code.svg",
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"seconds": 3600
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"seconds": 3600,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -28,7 +29,8 @@
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"display_name": "JetBrains",
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"slug": "jetbrains",
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"icon": "/icon/intellij.svg",
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"seconds": 120
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"seconds": 120,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -38,7 +40,8 @@
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"display_name": "Web Terminal",
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"slug": "reconnecting-pty",
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"icon": "/icon/terminal.svg",
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"seconds": 3600
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"seconds": 3600,
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"times_used": 0
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},
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{
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"template_ids": [
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@ -50,7 +53,8 @@
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"display_name": "SSH",
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"slug": "ssh",
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"icon": "/icon/terminal.svg",
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"seconds": 11520
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"seconds": 11520,
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"times_used": 0
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},
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{
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"template_ids": [],
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@ -58,7 +62,8 @@
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"display_name": "SFTP",
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"slug": "sftp",
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"icon": "/icon/terminal.svg",
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"seconds": 0
|
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"seconds": 0,
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"times_used": 0
|
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},
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{
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"template_ids": [
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@ -69,7 +74,8 @@
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"display_name": "app1",
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"slug": "app1",
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"icon": "/icon1.png",
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"seconds": 25380
|
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"seconds": 25380,
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"times_used": 4
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},
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{
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"template_ids": [
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@ -79,7 +85,8 @@
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"display_name": "app3",
|
||||
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@ -89,7 +96,8 @@
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||||
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||||
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|
||||
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@ -38,7 +40,8 @@
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"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [
|
||||
@ -38,7 +40,8 @@
|
||||
"display_name": "Web Terminal",
|
||||
"slug": "reconnecting-pty",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 3600
|
||||
"seconds": 3600,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [
|
||||
@ -50,7 +53,8 @@
|
||||
"display_name": "SSH",
|
||||
"slug": "ssh",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 15120
|
||||
"seconds": 15120,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -58,7 +62,8 @@
|
||||
"display_name": "SFTP",
|
||||
"slug": "sftp",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [
|
||||
@ -69,7 +74,8 @@
|
||||
"display_name": "app1",
|
||||
"slug": "app1",
|
||||
"icon": "/icon1.png",
|
||||
"seconds": 25380
|
||||
"seconds": 25380,
|
||||
"times_used": 4
|
||||
},
|
||||
{
|
||||
"template_ids": [
|
||||
@ -79,7 +85,8 @@
|
||||
"display_name": "app3",
|
||||
"slug": "app3",
|
||||
"icon": "/icon2.png",
|
||||
"seconds": 3600
|
||||
"seconds": 3600,
|
||||
"times_used": 1
|
||||
},
|
||||
{
|
||||
"template_ids": [
|
||||
@ -89,7 +96,8 @@
|
||||
"display_name": "otherapp1",
|
||||
"slug": "otherapp1",
|
||||
"icon": "/icon1.png",
|
||||
"seconds": 300
|
||||
"seconds": 300,
|
||||
"times_used": 1
|
||||
}
|
||||
],
|
||||
"parameters_usage": []
|
||||
|
@ -11,7 +11,8 @@
|
||||
"display_name": "Visual Studio Code",
|
||||
"slug": "vscode",
|
||||
"icon": "/icon/code.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -19,7 +20,8 @@
|
||||
"display_name": "JetBrains",
|
||||
"slug": "jetbrains",
|
||||
"icon": "/icon/intellij.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -27,7 +29,8 @@
|
||||
"display_name": "Web Terminal",
|
||||
"slug": "reconnecting-pty",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -35,7 +38,8 @@
|
||||
"display_name": "SSH",
|
||||
"slug": "ssh",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -43,7 +47,8 @@
|
||||
"display_name": "SFTP",
|
||||
"slug": "sftp",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
}
|
||||
],
|
||||
"parameters_usage": []
|
||||
|
@ -11,7 +11,8 @@
|
||||
"display_name": "Visual Studio Code",
|
||||
"slug": "vscode",
|
||||
"icon": "/icon/code.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -19,7 +20,8 @@
|
||||
"display_name": "JetBrains",
|
||||
"slug": "jetbrains",
|
||||
"icon": "/icon/intellij.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -27,7 +29,8 @@
|
||||
"display_name": "Web Terminal",
|
||||
"slug": "reconnecting-pty",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -35,7 +38,8 @@
|
||||
"display_name": "SSH",
|
||||
"slug": "ssh",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
},
|
||||
{
|
||||
"template_ids": [],
|
||||
@ -43,7 +47,8 @@
|
||||
"display_name": "SFTP",
|
||||
"slug": "sftp",
|
||||
"icon": "/icon/terminal.svg",
|
||||
"seconds": 0
|
||||
"seconds": 0,
|
||||
"times_used": 0
|
||||
}
|
||||
],
|
||||
"parameters_usage": [
|
||||
|
Reference in New Issue
Block a user