Files
multica/server/pkg/db/generated/runtime_usage.sql.go
YYClaw 614dfae884 MUL-2488 feat(timezone): Scheduling / Viewing two-layer timezone architecture (#2968)
* docs(timezone): add scheduling/viewing timezone architecture RFC

* feat(db): replace daily rollups with task_usage_hourly, add user.timezone

Migrations 100-104: add "user".timezone (Viewing tz), build the UTC
hourly task_usage_hourly rollup with its pipeline, drop the legacy
task_usage_daily / task_usage_dashboard_daily pipelines, and drop the
agent_runtime.timezone column. Report queries now slice day boundaries
at read time by the caller-supplied @tz instead of materialising in a
fixed tz. Regenerate sqlc.

* feat(server): add task_usage_hourly backfill command

Replace the two legacy backfill commands (daily / dashboard_daily) with
a single backfill_task_usage_hourly that loads historical task_usage
into the new UTC hourly rollup, sliced per workspace.

* refactor(server): resolve viewing timezone in report handlers

Report handlers resolve the Viewing tz per request (?tz query param,
then user.timezone, then UTC) and pass it to the hourly-rollup queries.
Drop the UseDailyRollup feature flags and the old raw-scan/daily-rollup
dual paths, remove the /api/usage endpoints, and stop the daemon from
reporting and the runtime handler from accepting host timezone.

* refactor(core): switch report queries to viewing timezone

API client and dashboard/runtime queries send ?tz with each report
request, the user schema/types carry the new timezone field, and the
runtime timezone field/mutation is removed.

* feat(views): add viewing timezone preference and UI

Add the useViewingTimezone hook and a Timezone setting in Preferences;
report charts and the dashboard week boundary follow the viewer tz.
Remove the runtime detail timezone editor and its locale strings.

* fix(test): update fixtures and stabilize tests for timezone refactor

The timezone architecture refactor changed several types without
updating dependent test code:

- RuntimeDevice no longer has a timezone field — drop it from the
  create-agent-dialog runtime fixture.
- User now requires a timezone field — add it to the apps/web mockUser
  fixture.
- The PreferencesTab timezone tests asserted on the async save handler
  (PATCH then store update) with a bare expect, racing the mutation's
  settle callback, and timed out querying the Select's ~600-option IANA
  list on a loaded CI runner. Wrap the assertions in waitFor and extend
  the timeout for those three tests.

* docs(timezone): document self-host migration order and trigger invariant

Add a SELF-HOST UPGRADE ORDER runbook to the backfill command's package
comment: applying migrations 100-104 in a single migrate-up drops the
legacy daily rollups before the hourly backfill runs, leaving dashboards
empty until cron catches up.

Add an INVARIANT comment on trg_atq_dirty_hourly noting that agent_id
must be added to the trigger's OF list if it ever becomes mutable,
otherwise dirty buckets for the old agent_id are silently missed.

* style(runtimes): drop trailing blank line in runtime-detail
2026-05-21 15:33:47 +08:00

261 lines
8.3 KiB
Go

// Code generated by sqlc. DO NOT EDIT.
// versions:
// sqlc v1.30.0
// source: runtime_usage.sql
package db
import (
"context"
"github.com/jackc/pgx/v5/pgtype"
)
const getRuntimeTaskHourlyActivity = `-- name: GetRuntimeTaskHourlyActivity :many
SELECT EXTRACT(HOUR FROM started_at AT TIME ZONE $2::text)::int AS hour,
COUNT(*)::int AS count
FROM agent_task_queue
WHERE runtime_id = $1 AND started_at IS NOT NULL
GROUP BY hour
ORDER BY hour
`
type GetRuntimeTaskHourlyActivityParams struct {
RuntimeID pgtype.UUID `json:"runtime_id"`
Tz string `json:"tz"`
}
type GetRuntimeTaskHourlyActivityRow struct {
Hour int32 `json:"hour"`
Count int32 `json:"count"`
}
// Hour-of-day distribution for queue starts. Bucketed in the viewer's
// tz so "this runtime is busy in the afternoon" actually means
// the operator's afternoon, not UTC's.
func (q *Queries) GetRuntimeTaskHourlyActivity(ctx context.Context, arg GetRuntimeTaskHourlyActivityParams) ([]GetRuntimeTaskHourlyActivityRow, error) {
rows, err := q.db.Query(ctx, getRuntimeTaskHourlyActivity, arg.RuntimeID, arg.Tz)
if err != nil {
return nil, err
}
defer rows.Close()
items := []GetRuntimeTaskHourlyActivityRow{}
for rows.Next() {
var i GetRuntimeTaskHourlyActivityRow
if err := rows.Scan(&i.Hour, &i.Count); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}
const getRuntimeUsageByHour = `-- name: GetRuntimeUsageByHour :many
SELECT
EXTRACT(HOUR FROM tu.created_at AT TIME ZONE $2::text)::int AS hour,
tu.model,
SUM(tu.input_tokens)::bigint AS input_tokens,
SUM(tu.output_tokens)::bigint AS output_tokens,
SUM(tu.cache_read_tokens)::bigint AS cache_read_tokens,
SUM(tu.cache_write_tokens)::bigint AS cache_write_tokens,
COUNT(DISTINCT tu.task_id)::int AS task_count
FROM task_usage tu
JOIN agent_task_queue atq ON atq.id = tu.task_id
WHERE atq.runtime_id = $1
AND tu.created_at >= $3::timestamptz
GROUP BY EXTRACT(HOUR FROM tu.created_at AT TIME ZONE $2::text), tu.model
ORDER BY hour, tu.model
`
type GetRuntimeUsageByHourParams struct {
RuntimeID pgtype.UUID `json:"runtime_id"`
Tz string `json:"tz"`
Since pgtype.Timestamptz `json:"since"`
}
type GetRuntimeUsageByHourRow struct {
Hour int32 `json:"hour"`
Model string `json:"model"`
InputTokens int64 `json:"input_tokens"`
OutputTokens int64 `json:"output_tokens"`
CacheReadTokens int64 `json:"cache_read_tokens"`
CacheWriteTokens int64 `json:"cache_write_tokens"`
TaskCount int32 `json:"task_count"`
}
// Per-(hour, model) token aggregates (hour ∈ 0..23) for a runtime since a
// cutoff. Powers the "By hour" tab — shows when in the day this runtime is
// doing real work, with model preserved for client-side cost calculation
// (same reason as ListRuntimeUsageByAgent above). Hours with zero activity
// are omitted; the client fills the 24-bucket axis.
//
// Hours are extracted in the viewer's tz via @tz so afternoon
// work bucketed at UTC 06:00 lands in 14:00 for a UTC+8 viewer.
func (q *Queries) GetRuntimeUsageByHour(ctx context.Context, arg GetRuntimeUsageByHourParams) ([]GetRuntimeUsageByHourRow, error) {
rows, err := q.db.Query(ctx, getRuntimeUsageByHour, arg.RuntimeID, arg.Tz, arg.Since)
if err != nil {
return nil, err
}
defer rows.Close()
items := []GetRuntimeUsageByHourRow{}
for rows.Next() {
var i GetRuntimeUsageByHourRow
if err := rows.Scan(
&i.Hour,
&i.Model,
&i.InputTokens,
&i.OutputTokens,
&i.CacheReadTokens,
&i.CacheWriteTokens,
&i.TaskCount,
); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}
const listRuntimeUsage = `-- name: ListRuntimeUsage :many
SELECT
DATE(bucket_hour AT TIME ZONE $2::text) AS date,
provider,
model,
SUM(input_tokens)::bigint AS input_tokens,
SUM(output_tokens)::bigint AS output_tokens,
SUM(cache_read_tokens)::bigint AS cache_read_tokens,
SUM(cache_write_tokens)::bigint AS cache_write_tokens
FROM task_usage_hourly
WHERE runtime_id = $1
AND bucket_hour >= $3::timestamptz
GROUP BY DATE(bucket_hour AT TIME ZONE $2::text), provider, model
ORDER BY DATE(bucket_hour AT TIME ZONE $2::text) DESC, provider, model
`
type ListRuntimeUsageParams struct {
RuntimeID pgtype.UUID `json:"runtime_id"`
Tz string `json:"tz"`
Since pgtype.Timestamptz `json:"since"`
}
type ListRuntimeUsageRow struct {
Date pgtype.Date `json:"date"`
Provider string `json:"provider"`
Model string `json:"model"`
InputTokens int64 `json:"input_tokens"`
OutputTokens int64 `json:"output_tokens"`
CacheReadTokens int64 `json:"cache_read_tokens"`
CacheWriteTokens int64 `json:"cache_write_tokens"`
}
// Reads from the UTC-bucketed `task_usage_hourly` rollup table,
// aggregated to per-(date, provider, model) under the
// caller-supplied @tz. Powers the trend chart on the runtime detail
// page and the per-row cost cell on the runtimes list.
//
// @tz is required, even if the caller intends "UTC", so the bucket
// cast is unambiguous — `bucket_hour` is UTC and the caller picks the
// calendar boundary per request.
func (q *Queries) ListRuntimeUsage(ctx context.Context, arg ListRuntimeUsageParams) ([]ListRuntimeUsageRow, error) {
rows, err := q.db.Query(ctx, listRuntimeUsage, arg.RuntimeID, arg.Tz, arg.Since)
if err != nil {
return nil, err
}
defer rows.Close()
items := []ListRuntimeUsageRow{}
for rows.Next() {
var i ListRuntimeUsageRow
if err := rows.Scan(
&i.Date,
&i.Provider,
&i.Model,
&i.InputTokens,
&i.OutputTokens,
&i.CacheReadTokens,
&i.CacheWriteTokens,
); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}
const listRuntimeUsageByAgent = `-- name: ListRuntimeUsageByAgent :many
SELECT
atq.agent_id,
tu.model,
SUM(tu.input_tokens)::bigint AS input_tokens,
SUM(tu.output_tokens)::bigint AS output_tokens,
SUM(tu.cache_read_tokens)::bigint AS cache_read_tokens,
SUM(tu.cache_write_tokens)::bigint AS cache_write_tokens,
COUNT(DISTINCT tu.task_id)::int AS task_count
FROM task_usage tu
JOIN agent_task_queue atq ON atq.id = tu.task_id
WHERE atq.runtime_id = $1
AND tu.created_at >= $2::timestamptz
GROUP BY atq.agent_id, tu.model
ORDER BY atq.agent_id, tu.model
`
type ListRuntimeUsageByAgentParams struct {
RuntimeID pgtype.UUID `json:"runtime_id"`
Since pgtype.Timestamptz `json:"since"`
}
type ListRuntimeUsageByAgentRow struct {
AgentID pgtype.UUID `json:"agent_id"`
Model string `json:"model"`
InputTokens int64 `json:"input_tokens"`
OutputTokens int64 `json:"output_tokens"`
CacheReadTokens int64 `json:"cache_read_tokens"`
CacheWriteTokens int64 `json:"cache_write_tokens"`
TaskCount int32 `json:"task_count"`
}
// Per-(agent, model) token aggregates for a runtime since a cutoff. Powers
// the runtime-detail "Cost by agent" tab. task_usage only carries task_id,
// so we join the queue to expose agent_id. The model dimension is kept on
// purpose: cost is computed client-side from a per-model pricing table, so
// collapsing models server-side would erase the information needed to do
// that arithmetic. The client groups by agent_id and sums cost per agent.
//
// This view doesn't bucket by date, so it doesn't need @tz; only the
// @since cutoff is provided in runtime-local terms (computed in Go).
func (q *Queries) ListRuntimeUsageByAgent(ctx context.Context, arg ListRuntimeUsageByAgentParams) ([]ListRuntimeUsageByAgentRow, error) {
rows, err := q.db.Query(ctx, listRuntimeUsageByAgent, arg.RuntimeID, arg.Since)
if err != nil {
return nil, err
}
defer rows.Close()
items := []ListRuntimeUsageByAgentRow{}
for rows.Next() {
var i ListRuntimeUsageByAgentRow
if err := rows.Scan(
&i.AgentID,
&i.Model,
&i.InputTokens,
&i.OutputTokens,
&i.CacheReadTokens,
&i.CacheWriteTokens,
&i.TaskCount,
); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}