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Diffstat (limited to 'internal/storage/dashboard.go')
| -rw-r--r-- | internal/storage/dashboard.go | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/internal/storage/dashboard.go b/internal/storage/dashboard.go new file mode 100644 index 0000000..e432af1 --- /dev/null +++ b/internal/storage/dashboard.go @@ -0,0 +1,91 @@ +package storage + +import "time" + +// EscalationBucket is one (escalation_rung, provider) aggregate over +// executions in a window — the raw material for the budget dashboard's +// escalation funnel (GET /api/escalation-funnel), the harness's +// "how much falls through each rung" story made visible. +type EscalationBucket struct { + Rung int `json:"rung"` + Agent string `json:"agent"` + Count int `json:"count"` + CostUSD float64 `json:"cost_usd"` +} + +// QueryEscalationFunnel aggregates executions started at or after `since` by +// (escalation_rung, agent), counting executions and summing cost. Excludes +// executions still in flight (RUNNING/QUEUED/PENDING have no terminal +// outcome yet to attribute to a rung). +// +// Rung 0 is not exclusively "resolved locally": executions.escalation_rung +// defaults to 0 uniformly, so every non-role-typed execution (which never +// climbs a ladder at all) also lands there alongside role-typed tasks +// genuinely resolved at their ladder's first tier. This mirrors the +// aggregate shape suggested for this phase and keeps the query a plain +// GROUP BY with no join — a role-only variant would need to join tasks and +// inspect config_json (no queryable role column on executions), which is +// intentionally left out of scope here. +func (s *DB) QueryEscalationFunnel(since time.Time) ([]EscalationBucket, error) { + rows, err := s.db.Query(` + SELECT escalation_rung, COALESCE(agent, ''), COUNT(*), COALESCE(SUM(cost_usd), 0) + FROM executions + WHERE start_time >= ? AND status NOT IN ('RUNNING', 'QUEUED', 'PENDING') + GROUP BY escalation_rung, agent + ORDER BY escalation_rung ASC, agent ASC`, since.UTC()) + if err != nil { + return nil, err + } + defer rows.Close() + + out := []EscalationBucket{} + for rows.Next() { + var b EscalationBucket + if err := rows.Scan(&b.Rung, &b.Agent, &b.Count, &b.CostUSD); err != nil { + return nil, err + } + out = append(out, b) + } + return out, rows.Err() +} + +// SpendPoint is one (time bucket, provider) aggregate of cost — the raw +// material for the budget dashboard's spend-over-time chart +// (GET /api/spend-timeseries). +type SpendPoint struct { + Bucket string `json:"bucket"` // RFC3339 truncated to the hour, or YYYY-MM-DD + Agent string `json:"agent"` + CostUSD float64 `json:"cost_usd"` +} + +// QuerySpendTimeseries aggregates cost per provider bucketed by hour +// (hourly=true) or by calendar day (hourly=false), for executions started at +// or after since. Mirrors QueryDashboardStats' own Throughput (hourly) / +// Billing (daily) bucketing expressions, just grouped additionally by +// provider so per-provider trend lines can be drawn. +func (s *DB) QuerySpendTimeseries(since time.Time, hourly bool) ([]SpendPoint, error) { + bucketExpr := "date(start_time)" + if hourly { + bucketExpr = "strftime('%Y-%m-%dT%H:00:00Z', start_time)" + } + rows, err := s.db.Query(` + SELECT `+bucketExpr+` as bucket, COALESCE(agent, ''), COALESCE(SUM(cost_usd), 0) + FROM executions + WHERE start_time >= ? + GROUP BY bucket, agent + ORDER BY bucket ASC, agent ASC`, since.UTC()) + if err != nil { + return nil, err + } + defer rows.Close() + + out := []SpendPoint{} + for rows.Next() { + var p SpendPoint + if err := rows.Scan(&p.Bucket, &p.Agent, &p.CostUSD); err != nil { + return nil, err + } + out = append(out, p) + } + return out, rows.Err() +} |
