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* fix(dashboard): count live usage_history rows in Free Tier 'used this month' (#10381) * fix(dashboard): use an indexable UTC month-range predicate for used-this-month (#10381) sumUsageTokensThisMonth() filtered usage_history with substr(timestamp, 1, 7) = strftime('%Y-%m', 'now') — a substr() expression SQLite cannot use a range index on, and fragile against any timestamp that isn't exactly ISO-shaped. Replace with an indexable inclusive-start/ exclusive-end UTC range: timestamp >= <month start> AND timestamp < <next month start>, matching the ISO 8601 format saveRequestUsage() already writes. Adds a boundary regression test: the first instant of the current month is included, the last instant of the previous month is excluded, and a next-month row is excluded too (covers the upper bound substr() could never express). --------- Co-authored-by: adevwithpurpose <adevwithpurpose@users.noreply.github.com>
43 lines
1.8 KiB
TypeScript
43 lines
1.8 KiB
TypeScript
import { getDbInstance } from "./core.ts";
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import type { SqliteAdapter } from "./adapters/types.ts";
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/**
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* Total input+output tokens for the current calendar month, across BOTH storage legs:
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*
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* 1. `daily_usage_summary` — the rolled-up aggregate (filled only by the retention
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* cleanup path rolling up rows OLDER than `retention.usageHistory`, default 365 days),
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* so the current month's rows never appear here until ~a year later (or the operator
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* lowers retention).
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* 2. `usage_history` — the live per-request rows (written by `saveRequestUsage` with
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* `tokens_input`/`tokens_output` and an ISO `timestamp`), which hold the current month's
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* actual usage.
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*
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* #10381: reading only leg 1 always returned ~0 for the current month. No double-count:
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* a row is rolled into `daily_usage_summary` only immediately before being deleted from
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* `usage_history` by the same cleanup step. The analytics layer uses the same
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* reconciliation in `buildUnifiedSource`.
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*/
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export function sumUsageTokensThisMonth(db: SqliteAdapter = getDbInstance()): number {
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try {
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const row = db
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.prepare(
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`SELECT
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COALESCE((
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SELECT SUM(tokens_input + tokens_output)
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FROM usage_history
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WHERE timestamp >= strftime('%Y-%m-01T00:00:00.000Z','now')
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AND timestamp < strftime('%Y-%m-01T00:00:00.000Z','now','+1 month')
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), 0) +
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COALESCE((
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SELECT SUM(total_input_tokens + total_output_tokens)
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FROM daily_usage_summary
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WHERE date >= strftime('%Y-%m-01', 'now')
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), 0) AS used`
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)
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.get() as { used: number } | undefined;
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return row?.used ?? 0;
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} catch {
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return 0; // table may not exist yet on a fresh install — treat as 0 used
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}
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}
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