ktx/packages/cli/test/demo-metrics.test.ts
Andrey Avtomonov 56985b7e09
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract

* test(cli): keep dialect edge tests focused

* fix(cli): stabilize dialect contract foundation

* refactor(connectors): own read-only query preparation

* refactor(connectors): resolve dialects through registry

* refactor(connectors): keep concrete dialect classes internal

* chore(workspace): enforce dialect import boundary

* refactor(cli): resolve relationship dialect at scan boundary

* refactor(cli): use dialect display parsing for entity details

* refactor(cli): use dialect display parsing for warehouse catalog

* refactor(cli): use dialect SQL in relationship workflows

* test(cli): verify solid dialect scan workflow closure

* test: split cli tests from source tree

* refactor(cli): standardize BigQuery scope listing

* feat(sqlite): implement connector scope listing

* test(connectors): cover required table listing

* feat(cli): add warehouse driver registry

* refactor(setup): route scope discovery through driver registry

* refactor(cli): route local query execution through driver registry

* refactor(historic-sql): route dialect support through driver registry

* refactor(cli): test warehouse connections through driver registry

* fix(cli): close driver registry type export gaps

* Improve setup daemon diagnostics

* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback

Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.

* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match

The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.

Align the picker boundary with the canonical 3-level KtxTableRef:

- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
  resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
  (resolveEnabledTables already accepts the 3-part shape) and
  schemasFromEnabledTables now goes through parseDottedTableEntry so it
  recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
  reuse.

Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).

* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00

137 lines
5.2 KiB
TypeScript

import type { MemoryFlowEvent, MemoryFlowReplayInput } from '../src/context/ingest/memory-flow/types.js';
import { describe, expect, it } from 'vitest';
import {
buildDemoMetrics,
formatCost,
formatDuration,
formatEta,
formatTokens,
formatTokensPerSec,
progressBar,
} from '../src/demo-metrics.js';
function snapshot(events: MemoryFlowEvent[], overrides: Partial<MemoryFlowReplayInput> = {}): MemoryFlowReplayInput {
return {
runId: 'run-1',
connectionId: 'orbit_demo',
adapter: 'live-database',
status: 'running',
sourceDir: null,
syncId: 'sync-1',
errors: [],
events,
plannedWorkUnits: [],
details: { actions: [], provenance: [], transcripts: [] },
...overrides,
};
}
describe('buildDemoMetrics', () => {
it('estimates elapsed, agent steps, tool calls, and cost from event stream', () => {
const start = Date.UTC(2026, 0, 1, 0, 0, 0);
const input = snapshot(
[
{ type: 'source_acquired', adapter: 'live-database', trigger: 'demo_full', fileCount: 5, emittedAt: new Date(start).toISOString() },
{ type: 'work_unit_started', unitKey: 'orders', skills: [], stepBudget: 40, emittedAt: new Date(start + 1000).toISOString() },
{ type: 'work_unit_step', unitKey: 'orders', stepIndex: 6, stepBudget: 40, emittedAt: new Date(start + 6000).toISOString() },
],
{
plannedWorkUnits: [
{ unitKey: 'orders', rawFiles: [], peerFileCount: 0, dependencyCount: 0 },
{ unitKey: 'customers', rawFiles: [], peerFileCount: 0, dependencyCount: 0 },
],
details: {
actions: [],
provenance: [],
transcripts: [{ unitKey: 'orders', path: '/tmp/orders.jsonl', toolCallCount: 3, errorCount: 0, toolNames: ['x'] }],
},
},
);
const metrics = buildDemoMetrics(input, { now: () => start + 10_000 });
expect(metrics.elapsedMs).toBe(10_000);
expect(metrics.agentSteps).toBe(6);
expect(metrics.agentStepBudget).toBe(40);
expect(metrics.toolCalls).toBe(3);
expect(metrics.workUnitsTotal).toBe(2);
expect(metrics.estimatedTokens).toBeGreaterThan(0);
expect(metrics.estimatedCostUsd).toBeGreaterThan(0);
expect(metrics.isCostEstimated).toBe(true);
});
it('returns null ETA before the first work unit completes', () => {
const input = snapshot([{ type: 'source_acquired', adapter: 'live-database', trigger: 'x', fileCount: 1 }]);
const metrics = buildDemoMetrics(input, { now: () => Date.now() });
expect(metrics.etaMs).toBeNull();
});
it('extrapolates ETA from completed/total ratio when at least one unit finishes', () => {
const start = Date.UTC(2026, 0, 1);
const input = snapshot(
[
{ type: 'source_acquired', adapter: 'a', trigger: 't', fileCount: 1, emittedAt: new Date(start).toISOString() },
{ type: 'work_unit_started', unitKey: 'a', skills: [], stepBudget: 10, emittedAt: new Date(start + 1000).toISOString() },
{ type: 'work_unit_finished', unitKey: 'a', status: 'success', emittedAt: new Date(start + 5000).toISOString() },
],
{
plannedWorkUnits: [
{ unitKey: 'a', rawFiles: [], peerFileCount: 0, dependencyCount: 0 },
{ unitKey: 'b', rawFiles: [], peerFileCount: 0, dependencyCount: 0 },
{ unitKey: 'c', rawFiles: [], peerFileCount: 0, dependencyCount: 0 },
],
},
);
const metrics = buildDemoMetrics(input, { now: () => start + 6_000 });
expect(metrics.etaMs).toBe(12_000);
});
it('reports ETA=0 when the run is finished', () => {
const input = snapshot([], { status: 'done' });
const metrics = buildDemoMetrics(input, { now: () => Date.now() });
expect(metrics.etaMs).toBe(0);
});
});
describe('format helpers', () => {
it('formats duration in s/m/h cascades', () => {
expect(formatDuration(5_000)).toBe('5s');
expect(formatDuration(95_000)).toBe('1m35s');
expect(formatDuration(3_700_000)).toBe('1h01m');
expect(formatDuration(-1)).toBe('--');
});
it('formats ETA as estimating before any data and as duration once running', () => {
expect(formatEta(null, 'running')).toBe('estimating...');
expect(formatEta(8_000, 'running')).toBe('8s');
expect(formatEta(8_000, 'done')).toBe('done');
});
it('formats cost with sub-cent guard', () => {
expect(formatCost(0)).toBe('$0.000');
expect(formatCost(0.0005)).toBe('<$0.001');
expect(formatCost(0.012)).toBe('$0.012');
expect(formatCost(2.5)).toBe('$2.50');
});
it('formats token counts with K/M abbreviations', () => {
expect(formatTokens(0)).toBe('0');
expect(formatTokens(450)).toBe('450');
expect(formatTokens(2_300)).toBe('2.3K');
expect(formatTokens(1_500_000)).toBe('1.50M');
});
it('formats tokens per second', () => {
expect(formatTokensPerSec(0)).toBe('0/s');
expect(formatTokensPerSec(450)).toBe('450/s');
expect(formatTokensPerSec(2300)).toBe('2.3K/s');
});
it('renders a deterministic progress bar with hash and dash characters', () => {
expect(progressBar(0, 10)).toBe('----------');
expect(progressBar(0.5, 10)).toBe('#####-----');
expect(progressBar(1, 10)).toBe('##########');
expect(progressBar(1.4, 10)).toBe('##########');
});
});