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- Add migration 106: CREATE INDEX CONCURRENTLY on member(user_id, workspace_id) - Rewrite ListWorkspaces to drive from member table with explicit fields - Regenerate all sqlc code with v1.31.1 (intentional version upgrade) Co-authored-by: multica-agent <github@multica.ai>
261 lines
8.3 KiB
Go
261 lines
8.3 KiB
Go
// Code generated by sqlc. DO NOT EDIT.
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// versions:
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// sqlc v1.31.1
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// source: runtime_usage.sql
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package db
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import (
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"context"
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"github.com/jackc/pgx/v5/pgtype"
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)
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const getRuntimeTaskHourlyActivity = `-- name: GetRuntimeTaskHourlyActivity :many
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SELECT EXTRACT(HOUR FROM started_at AT TIME ZONE $2::text)::int AS hour,
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COUNT(*)::int AS count
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FROM agent_task_queue
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WHERE runtime_id = $1 AND started_at IS NOT NULL
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GROUP BY hour
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ORDER BY hour
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`
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type GetRuntimeTaskHourlyActivityParams struct {
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RuntimeID pgtype.UUID `json:"runtime_id"`
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Tz string `json:"tz"`
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}
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type GetRuntimeTaskHourlyActivityRow struct {
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Hour int32 `json:"hour"`
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Count int32 `json:"count"`
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}
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// Hour-of-day distribution for queue starts. Bucketed in the viewer's
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// tz so "this runtime is busy in the afternoon" actually means
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// the operator's afternoon, not UTC's.
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func (q *Queries) GetRuntimeTaskHourlyActivity(ctx context.Context, arg GetRuntimeTaskHourlyActivityParams) ([]GetRuntimeTaskHourlyActivityRow, error) {
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rows, err := q.db.Query(ctx, getRuntimeTaskHourlyActivity, arg.RuntimeID, arg.Tz)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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items := []GetRuntimeTaskHourlyActivityRow{}
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for rows.Next() {
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var i GetRuntimeTaskHourlyActivityRow
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if err := rows.Scan(&i.Hour, &i.Count); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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const getRuntimeUsageByHour = `-- name: GetRuntimeUsageByHour :many
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SELECT
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EXTRACT(HOUR FROM tu.created_at AT TIME ZONE $2::text)::int AS hour,
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tu.model,
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SUM(tu.input_tokens)::bigint AS input_tokens,
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SUM(tu.output_tokens)::bigint AS output_tokens,
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SUM(tu.cache_read_tokens)::bigint AS cache_read_tokens,
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SUM(tu.cache_write_tokens)::bigint AS cache_write_tokens,
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COUNT(DISTINCT tu.task_id)::int AS task_count
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FROM task_usage tu
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JOIN agent_task_queue atq ON atq.id = tu.task_id
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WHERE atq.runtime_id = $1
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AND tu.created_at >= $3::timestamptz
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GROUP BY EXTRACT(HOUR FROM tu.created_at AT TIME ZONE $2::text), tu.model
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ORDER BY hour, tu.model
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`
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type GetRuntimeUsageByHourParams struct {
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RuntimeID pgtype.UUID `json:"runtime_id"`
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Tz string `json:"tz"`
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Since pgtype.Timestamptz `json:"since"`
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}
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type GetRuntimeUsageByHourRow struct {
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Hour int32 `json:"hour"`
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Model string `json:"model"`
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InputTokens int64 `json:"input_tokens"`
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OutputTokens int64 `json:"output_tokens"`
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CacheReadTokens int64 `json:"cache_read_tokens"`
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CacheWriteTokens int64 `json:"cache_write_tokens"`
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TaskCount int32 `json:"task_count"`
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}
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// Per-(hour, model) token aggregates (hour ∈ 0..23) for a runtime since a
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// cutoff. Powers the "By hour" tab — shows when in the day this runtime is
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// doing real work, with model preserved for client-side cost calculation
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// (same reason as ListRuntimeUsageByAgent above). Hours with zero activity
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// are omitted; the client fills the 24-bucket axis.
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//
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// Hours are extracted in the viewer's tz via @tz so afternoon
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// work bucketed at UTC 06:00 lands in 14:00 for a UTC+8 viewer.
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func (q *Queries) GetRuntimeUsageByHour(ctx context.Context, arg GetRuntimeUsageByHourParams) ([]GetRuntimeUsageByHourRow, error) {
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rows, err := q.db.Query(ctx, getRuntimeUsageByHour, arg.RuntimeID, arg.Tz, arg.Since)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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items := []GetRuntimeUsageByHourRow{}
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for rows.Next() {
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var i GetRuntimeUsageByHourRow
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if err := rows.Scan(
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&i.Hour,
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&i.Model,
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&i.InputTokens,
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&i.OutputTokens,
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&i.CacheReadTokens,
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&i.CacheWriteTokens,
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&i.TaskCount,
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); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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const listRuntimeUsage = `-- name: ListRuntimeUsage :many
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SELECT
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DATE(bucket_hour AT TIME ZONE $2::text) AS date,
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provider,
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model,
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SUM(input_tokens)::bigint AS input_tokens,
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SUM(output_tokens)::bigint AS output_tokens,
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SUM(cache_read_tokens)::bigint AS cache_read_tokens,
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SUM(cache_write_tokens)::bigint AS cache_write_tokens
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FROM task_usage_hourly
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WHERE runtime_id = $1
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AND bucket_hour >= $3::timestamptz
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GROUP BY DATE(bucket_hour AT TIME ZONE $2::text), provider, model
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ORDER BY DATE(bucket_hour AT TIME ZONE $2::text) DESC, provider, model
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`
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type ListRuntimeUsageParams struct {
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RuntimeID pgtype.UUID `json:"runtime_id"`
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Tz string `json:"tz"`
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Since pgtype.Timestamptz `json:"since"`
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}
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type ListRuntimeUsageRow struct {
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Date pgtype.Date `json:"date"`
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Provider string `json:"provider"`
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Model string `json:"model"`
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InputTokens int64 `json:"input_tokens"`
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OutputTokens int64 `json:"output_tokens"`
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CacheReadTokens int64 `json:"cache_read_tokens"`
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CacheWriteTokens int64 `json:"cache_write_tokens"`
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}
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// Reads from the UTC-bucketed `task_usage_hourly` rollup table,
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// aggregated to per-(date, provider, model) under the
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// caller-supplied @tz. Powers the trend chart on the runtime detail
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// page and the per-row cost cell on the runtimes list.
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//
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// @tz is required, even if the caller intends "UTC", so the bucket
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// cast is unambiguous — `bucket_hour` is UTC and the caller picks the
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// calendar boundary per request.
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func (q *Queries) ListRuntimeUsage(ctx context.Context, arg ListRuntimeUsageParams) ([]ListRuntimeUsageRow, error) {
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rows, err := q.db.Query(ctx, listRuntimeUsage, arg.RuntimeID, arg.Tz, arg.Since)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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items := []ListRuntimeUsageRow{}
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for rows.Next() {
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var i ListRuntimeUsageRow
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if err := rows.Scan(
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&i.Date,
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&i.Provider,
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&i.Model,
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&i.InputTokens,
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&i.OutputTokens,
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&i.CacheReadTokens,
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&i.CacheWriteTokens,
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); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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const listRuntimeUsageByAgent = `-- name: ListRuntimeUsageByAgent :many
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SELECT
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atq.agent_id,
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tu.model,
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SUM(tu.input_tokens)::bigint AS input_tokens,
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SUM(tu.output_tokens)::bigint AS output_tokens,
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SUM(tu.cache_read_tokens)::bigint AS cache_read_tokens,
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SUM(tu.cache_write_tokens)::bigint AS cache_write_tokens,
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COUNT(DISTINCT tu.task_id)::int AS task_count
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FROM task_usage tu
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JOIN agent_task_queue atq ON atq.id = tu.task_id
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WHERE atq.runtime_id = $1
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AND tu.created_at >= $2::timestamptz
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GROUP BY atq.agent_id, tu.model
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ORDER BY atq.agent_id, tu.model
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`
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type ListRuntimeUsageByAgentParams struct {
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RuntimeID pgtype.UUID `json:"runtime_id"`
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Since pgtype.Timestamptz `json:"since"`
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}
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type ListRuntimeUsageByAgentRow struct {
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AgentID pgtype.UUID `json:"agent_id"`
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Model string `json:"model"`
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InputTokens int64 `json:"input_tokens"`
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OutputTokens int64 `json:"output_tokens"`
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CacheReadTokens int64 `json:"cache_read_tokens"`
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CacheWriteTokens int64 `json:"cache_write_tokens"`
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TaskCount int32 `json:"task_count"`
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}
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// Per-(agent, model) token aggregates for a runtime since a cutoff. Powers
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// the runtime-detail "Cost by agent" tab. task_usage only carries task_id,
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// so we join the queue to expose agent_id. The model dimension is kept on
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// purpose: cost is computed client-side from a per-model pricing table, so
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// collapsing models server-side would erase the information needed to do
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// that arithmetic. The client groups by agent_id and sums cost per agent.
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//
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// This view doesn't bucket by date, so it doesn't need @tz; only the
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// @since cutoff is provided in runtime-local terms (computed in Go).
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func (q *Queries) ListRuntimeUsageByAgent(ctx context.Context, arg ListRuntimeUsageByAgentParams) ([]ListRuntimeUsageByAgentRow, error) {
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rows, err := q.db.Query(ctx, listRuntimeUsageByAgent, arg.RuntimeID, arg.Since)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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items := []ListRuntimeUsageByAgentRow{}
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for rows.Next() {
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var i ListRuntimeUsageByAgentRow
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if err := rows.Scan(
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&i.AgentID,
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&i.Model,
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&i.InputTokens,
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&i.OutputTokens,
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&i.CacheReadTokens,
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&i.CacheWriteTokens,
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&i.TaskCount,
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); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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