2026-05-10 23:12:26 +02:00
|
|
|
/* @jsxImportSource react */
|
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
|
|
|
import type { MemoryFlowReplayInput } from '../src/context/ingest/memory-flow/types.js';
|
2026-05-10 23:12:26 +02:00
|
|
|
import { render as renderInkTest } from 'ink-testing-library';
|
|
|
|
|
import React, { type ReactNode } from 'react';
|
|
|
|
|
import { describe, expect, it, vi } from 'vitest';
|
|
|
|
|
import {
|
|
|
|
|
MemoryFlowTuiApp,
|
|
|
|
|
memoryFlowCommandForInkInput,
|
|
|
|
|
renderMemoryFlowTui,
|
|
|
|
|
sanitizeMemoryFlowTuiError,
|
|
|
|
|
startLiveMemoryFlowTui,
|
2026-05-10 23:51:24 +02:00
|
|
|
type KtxMemoryFlowTuiIo,
|
2026-05-10 23:12:26 +02:00
|
|
|
type MemoryFlowInkInstance,
|
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
|
|
|
} from '../src/memory-flow-tui.js';
|
2026-05-10 23:12:26 +02:00
|
|
|
|
|
|
|
|
function replayInput(): MemoryFlowReplayInput {
|
|
|
|
|
return {
|
|
|
|
|
runId: 'run-1', connectionId: 'warehouse', adapter: 'live-database',
|
|
|
|
|
status: 'done', sourceDir: null, syncId: 'sync-1', reportId: 'report-1', reportPath: 'report-1', errors: [],
|
|
|
|
|
plannedWorkUnits: [
|
|
|
|
|
{ unitKey: 'orders', rawFiles: ['orders'], peerFileCount: 0, dependencyCount: 1 },
|
|
|
|
|
{ unitKey: 'customers', rawFiles: ['customers'], peerFileCount: 1, dependencyCount: 0 },
|
|
|
|
|
],
|
|
|
|
|
details: {
|
|
|
|
|
actions: [
|
2026-05-13 16:05:58 +02:00
|
|
|
{ unitKey: 'orders', target: 'wiki', action: 'created', key: 'wiki/orders.md', summary: 'order lifecycle', rawFiles: ['orders'], status: 'success' },
|
2026-05-10 23:12:26 +02:00
|
|
|
{ unitKey: 'customers', target: 'sl', action: 'updated', key: 'orbit_demo.customers', summary: 'customer metrics', rawFiles: ['customers'], status: 'success' },
|
|
|
|
|
],
|
2026-05-13 16:05:58 +02:00
|
|
|
provenance: [{ rawPath: 'orders', artifactKind: 'wiki', artifactKey: 'wiki/orders.md', actionType: 'wiki_written' }],
|
feat(setup): add Claude Desktop target and MCP-first agent setup (#114)
* feat(setup): add Claude Desktop target and MCP-first agent setup
Adds `ktx mcp stdio` and a `claude-desktop` setup target that generates a
local plugin ZIP wiring the analytics skill and a stdio MCP config. Replaces
the CLI-only agent install mode with MCP+analytics (default) and an optional
admin CLI skill, renames the research skill to analytics, and lets interactive
setup pick project vs global scope when every target supports it. Extracts a
shared MCP server factory used by both HTTP and stdio entrypoints.
* Add MCP agent client setup support
* Polish setup output formatting
* Add MCP tool polish design spec
Design for slimming the MCP-registered surface from 25 to 11 tools,
introducing memory_ingest, applying the per-tool polish kit (annotations,
outputSchema, .describe(), in-band error wrapping, union-drift fixes,
type-narrowed jsonToolResult), emitting progress notifications on
sql_execution + sl_query, and refining the ktx-analytics SKILL.md to
match.
* Refine MCP tool polish design spec after adversarial review iteration 1
* Refine MCP tool polish design spec after adversarial review iteration 2
* Refine MCP tool polish design spec after adversarial review iteration 3
* refactor(context): rename memory capture service to ingest
* feat(mcp): slim research tool surface
* refactor(mcp): remove admin ports from server factory
* refactor(cli): rename text ingest memory port
* docs: update analytics skill for memory ingest
* chore: verify mcp surface rename
* Add MCP tool polish v1 surface change plan
* feat(context): polish mcp tool metadata
* fix(context): enforce resolved semantic layer compute sources
* feat(context): emit mcp query progress stages
* fix(context): keep mcp progress event internal
* Add MCP tool polish v1 metadata & progress plan
* Fix CI snapshot and docs checks
2026-05-16 11:39:55 +02:00
|
|
|
transcripts: [{ unitKey: 'orders', path: '/tmp/t.jsonl', toolCallCount: 2, errorCount: 0, toolNames: ['read_raw_span', 'memory_ingest'] }],
|
2026-05-10 23:12:26 +02:00
|
|
|
},
|
|
|
|
|
events: [
|
|
|
|
|
{ type: 'source_acquired', adapter: 'live-database', trigger: 'manual_resync', fileCount: 2 },
|
|
|
|
|
{ type: 'scope_detected', fingerprint: 'scope-1' },
|
|
|
|
|
{ type: 'raw_snapshot_written', syncId: 'sync-1', rawFileCount: 2 },
|
|
|
|
|
{ type: 'diff_computed', added: 1, modified: 1, deleted: 0, unchanged: 0 },
|
|
|
|
|
{ type: 'chunks_planned', chunkCount: 2, workUnitCount: 2, evictionCount: 0 },
|
2026-05-13 16:05:58 +02:00
|
|
|
{ type: 'work_unit_started', unitKey: 'orders', skills: ['wiki_capture'], stepBudget: 40 },
|
|
|
|
|
{ type: 'candidate_action', unitKey: 'orders', target: 'wiki', action: 'created', key: 'wiki/orders.md' },
|
2026-05-10 23:12:26 +02:00
|
|
|
{ type: 'work_unit_finished', unitKey: 'orders', status: 'success' },
|
|
|
|
|
{ type: 'work_unit_started', unitKey: 'customers', skills: ['sl_capture'], stepBudget: 40 },
|
|
|
|
|
{ type: 'candidate_action', unitKey: 'customers', target: 'sl', action: 'updated', key: 'orbit_demo.customers' },
|
|
|
|
|
{ type: 'work_unit_finished', unitKey: 'customers', status: 'success' },
|
|
|
|
|
{ type: 'reconciliation_finished', conflictCount: 0, fallbackCount: 0 },
|
|
|
|
|
{ type: 'saved', commitSha: 'commit-one', wikiCount: 1, slCount: 1 },
|
|
|
|
|
{ type: 'provenance_recorded', rowCount: 1 },
|
|
|
|
|
{ type: 'report_created', runId: 'run-1', reportPath: 'report-1' },
|
|
|
|
|
],
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function runningReplayInput(): MemoryFlowReplayInput {
|
|
|
|
|
return { ...replayInput(), status: 'running', syncId: 'pending', reportId: undefined, reportPath: undefined, plannedWorkUnits: [], events: [{ type: 'source_acquired', adapter: 'live-database', trigger: 'manual_resync', fileCount: 1 }] };
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function packagedReplayInput(overrides: Partial<MemoryFlowReplayInput> = {}): MemoryFlowReplayInput {
|
|
|
|
|
return {
|
|
|
|
|
...replayInput(),
|
|
|
|
|
connectionId: 'orbit_demo',
|
|
|
|
|
metadata: {
|
|
|
|
|
schemaVersion: 1,
|
|
|
|
|
mode: 'seeded',
|
|
|
|
|
origin: 'packaged',
|
|
|
|
|
timing: 'prebuilt',
|
|
|
|
|
capturedAt: null,
|
|
|
|
|
sourceReportId: 'demo-seeded-report',
|
|
|
|
|
sourceReportPath: 'reports/seeded-demo-report.json',
|
|
|
|
|
fallbackReason: null,
|
|
|
|
|
},
|
|
|
|
|
...overrides,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-10 23:51:24 +02:00
|
|
|
function makeIo(): { io: KtxMemoryFlowTuiIo; stderr: () => string } {
|
2026-05-10 23:12:26 +02:00
|
|
|
let stderr = '';
|
|
|
|
|
return { io: { stdin: { isTTY: true, setRawMode: vi.fn() }, stdout: { isTTY: true, columns: 120, write: vi.fn() }, stderr: { write(chunk: string) { stderr += chunk; } } }, stderr: () => stderr };
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function fakeInkInstance(): MemoryFlowInkInstance {
|
|
|
|
|
return { rerender: vi.fn(), unmount: vi.fn(), waitUntilExit: vi.fn(async () => undefined), clear: vi.fn() };
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
async function waitForInkInput(): Promise<void> { await new Promise((r) => setTimeout(r, 10)); }
|
|
|
|
|
|
|
|
|
|
function renderedAppProps(tree: ReactNode): Record<string, unknown> {
|
|
|
|
|
expect(React.isValidElement(tree)).toBe(true);
|
|
|
|
|
return (tree as React.ReactElement<Record<string, unknown>>).props;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
describe('memoryFlowCommandForInkInput', () => {
|
|
|
|
|
it('maps input to commands', () => {
|
|
|
|
|
expect(memoryFlowCommandForInkInput('q', {})).toBe('quit');
|
|
|
|
|
expect(memoryFlowCommandForInkInput('c', { ctrl: true })).toBe('quit');
|
|
|
|
|
expect(memoryFlowCommandForInkInput('x', {})).toBeNull();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describe('sanitizeMemoryFlowTuiError', () => {
|
|
|
|
|
it('redacts credentials', () => {
|
|
|
|
|
expect(sanitizeMemoryFlowTuiError(new Error('postgres://x?api_key=y password=z'))).toBe('[redacted-url] [redacted]');
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describe('MemoryFlowTuiApp', () => {
|
2026-05-10 23:51:24 +02:00
|
|
|
it('always shows the KTX logo', () => {
|
2026-05-10 23:12:26 +02:00
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={replayInput()} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
2026-05-12 14:56:09 +02:00
|
|
|
expect(lastFrame()).toContain('╚███╔╝');
|
2026-05-10 23:12:26 +02:00
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('shows persistent HUD with source and status terminology', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={{ ...replayInput(), connectionId: 'warehouse' }} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Database (warehouse)');
|
|
|
|
|
expect(frame).toContain('2 tables');
|
|
|
|
|
expect(frame).toContain('done');
|
|
|
|
|
expect(frame).toContain('warehouse');
|
|
|
|
|
expect(frame).toContain('╭');
|
|
|
|
|
expect(frame).toContain('╰');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('hides the internal demo connection id before packaged replay source events are visible', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(
|
|
|
|
|
<MemoryFlowTuiApp
|
|
|
|
|
input={packagedReplayInput({ status: 'running', events: [] })}
|
|
|
|
|
terminalWidth={120}
|
|
|
|
|
onExit={vi.fn()}
|
|
|
|
|
showBoot={false}
|
|
|
|
|
/>,
|
|
|
|
|
);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Orbit Demo');
|
|
|
|
|
expect(frame).not.toContain('orbit_demo');
|
|
|
|
|
expect(frame).not.toContain('Database (orbit_demo)');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('keeps the packaged replay source label public while only one source event is visible', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(
|
|
|
|
|
<MemoryFlowTuiApp
|
|
|
|
|
input={packagedReplayInput({
|
|
|
|
|
status: 'running',
|
|
|
|
|
events: [{ type: 'source_acquired', adapter: 'live-database', trigger: 'demo_seeded', fileCount: 8 }],
|
|
|
|
|
})}
|
|
|
|
|
terminalWidth={120}
|
|
|
|
|
onExit={vi.fn()}
|
|
|
|
|
showBoot={false}
|
|
|
|
|
/>,
|
|
|
|
|
);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Orbit Demo');
|
|
|
|
|
expect(frame).not.toContain('orbit_demo');
|
|
|
|
|
expect(frame).not.toContain('Database (orbit_demo)');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('shows a prepopulated data disclaimer for packaged demo replay cost estimates', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(
|
|
|
|
|
<MemoryFlowTuiApp
|
|
|
|
|
input={packagedReplayInput()}
|
|
|
|
|
terminalWidth={120}
|
|
|
|
|
onExit={vi.fn()}
|
|
|
|
|
showBoot={false}
|
|
|
|
|
/>,
|
|
|
|
|
);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('$');
|
|
|
|
|
expect(frame).toContain('Pre-run demo: $ shown is illustrative; no money is being spent now.');
|
|
|
|
|
expect(frame).not.toContain('orbit_demo');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('does not show the prepopulated data disclaimer for captured full replay cost estimates', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(
|
|
|
|
|
<MemoryFlowTuiApp
|
|
|
|
|
input={{
|
|
|
|
|
...replayInput(),
|
|
|
|
|
metadata: {
|
|
|
|
|
schemaVersion: 1,
|
|
|
|
|
mode: 'full',
|
|
|
|
|
origin: 'captured',
|
|
|
|
|
timing: 'captured',
|
|
|
|
|
capturedAt: '2026-05-01T00:00:00.000Z',
|
|
|
|
|
sourceReportId: 'report-full',
|
|
|
|
|
sourceReportPath: 'reports/report-full.json',
|
|
|
|
|
fallbackReason: null,
|
|
|
|
|
},
|
|
|
|
|
}}
|
|
|
|
|
terminalWidth={120}
|
|
|
|
|
onExit={vi.fn()}
|
|
|
|
|
showBoot={false}
|
|
|
|
|
/>,
|
|
|
|
|
);
|
|
|
|
|
expect(lastFrame()).not.toContain('Demo data is prepopulated');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('shows accumulated activity feed on completion', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={replayInput()} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Connected — found 2 tables to ingest');
|
|
|
|
|
expect(frame).toContain('Created so far:');
|
|
|
|
|
expect(frame).toContain('order lifecycle');
|
|
|
|
|
expect(frame).toContain('customer metrics');
|
2026-05-10 23:51:24 +02:00
|
|
|
expect(frame).toContain('KTX finished ingesting your data');
|
2026-05-20 01:52:37 +02:00
|
|
|
expect(frame).toContain('ktx sl');
|
|
|
|
|
expect(frame).toContain('ktx wiki');
|
2026-05-12 16:56:58 -04:00
|
|
|
expect(frame).not.toContain('ktx serve --mcp stdio --user-id local');
|
2026-05-10 23:51:24 +02:00
|
|
|
expect(frame).not.toContain(['ktx', 'ask'].join(' '));
|
|
|
|
|
expect(frame).not.toContain(['ktx', 'mcp'].join(' '));
|
2026-05-10 23:12:26 +02:00
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('handles quit while running', async () => {
|
|
|
|
|
const onExit = vi.fn();
|
|
|
|
|
const { stdin } = renderInkTest(<MemoryFlowTuiApp input={runningReplayInput()} terminalWidth={120} onExit={onExit} showBoot={false} />);
|
|
|
|
|
stdin.write('q');
|
|
|
|
|
await waitForInkInput();
|
|
|
|
|
expect(onExit).toHaveBeenCalledTimes(1);
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('shows active work unit with progress', () => {
|
|
|
|
|
const running: MemoryFlowReplayInput = {
|
|
|
|
|
...runningReplayInput(),
|
|
|
|
|
events: [
|
|
|
|
|
{ type: 'source_acquired', adapter: 'live-database', trigger: 'manual_resync', fileCount: 1 },
|
|
|
|
|
{ type: 'diff_computed', added: 1, modified: 0, deleted: 0, unchanged: 0 },
|
|
|
|
|
{ type: 'chunks_planned', chunkCount: 1, workUnitCount: 1, evictionCount: 0 },
|
2026-05-13 16:05:58 +02:00
|
|
|
{ type: 'work_unit_started', unitKey: 'orders', skills: ['wiki_capture'], stepBudget: 40 },
|
2026-05-10 23:12:26 +02:00
|
|
|
],
|
|
|
|
|
plannedWorkUnits: [{ unitKey: 'orders', rawFiles: ['orders'], peerFileCount: 0, dependencyCount: 1 }],
|
|
|
|
|
};
|
|
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={running} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Ingesting — 0/1 business area done');
|
|
|
|
|
expect(frame).toContain('Reading table schemas, understanding relationships, creating query definitions');
|
2026-05-12 14:56:09 +02:00
|
|
|
expect(frame).toContain('╚███╔╝');
|
2026-05-10 23:12:26 +02:00
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('describes multi-source ingestion as building the context layer', () => {
|
|
|
|
|
const running: MemoryFlowReplayInput = {
|
|
|
|
|
...runningReplayInput(),
|
|
|
|
|
adapter: 'multi-source',
|
|
|
|
|
events: [
|
|
|
|
|
{ type: 'source_acquired', adapter: 'live-database', trigger: 'manual_resync', fileCount: 8 },
|
|
|
|
|
{ type: 'source_acquired', adapter: 'dbt-descriptions', trigger: 'manual_resync', fileCount: 3 },
|
|
|
|
|
{ type: 'diff_computed', added: 11, modified: 0, deleted: 0, unchanged: 0 },
|
|
|
|
|
{ type: 'chunks_planned', chunkCount: 1, workUnitCount: 1, evictionCount: 0 },
|
2026-05-13 16:05:58 +02:00
|
|
|
{ type: 'work_unit_started', unitKey: 'orders', skills: ['wiki_capture'], stepBudget: 40 },
|
2026-05-10 23:12:26 +02:00
|
|
|
],
|
|
|
|
|
plannedWorkUnits: [{ unitKey: 'orders', rawFiles: ['orders'], peerFileCount: 0, dependencyCount: 1 }],
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={running} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
|
|
|
|
const frame = lastFrame() ?? '';
|
|
|
|
|
expect(frame).toContain('Ingesting warehouse, dbt, BI, and docs into a unified context layer');
|
|
|
|
|
expect(frame).not.toContain('unified semantic layer');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('hides completion while running', () => {
|
|
|
|
|
const { lastFrame } = renderInkTest(<MemoryFlowTuiApp input={runningReplayInput()} terminalWidth={120} onExit={vi.fn()} showBoot={false} />);
|
2026-05-10 23:51:24 +02:00
|
|
|
expect(lastFrame()).not.toContain('KTX finished ingesting');
|
2026-05-10 23:12:26 +02:00
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describe('startLiveMemoryFlowTui', () => {
|
|
|
|
|
it('starts and updates', async () => {
|
|
|
|
|
const { io } = makeIo();
|
|
|
|
|
const instance = fakeInkInstance();
|
|
|
|
|
const live = await startLiveMemoryFlowTui(runningReplayInput(), io, { renderInk: () => instance });
|
|
|
|
|
expect(live).not.toBeNull();
|
|
|
|
|
live?.update(replayInput());
|
|
|
|
|
expect(instance.rerender).toHaveBeenCalledTimes(1);
|
|
|
|
|
live?.close();
|
|
|
|
|
expect(instance.unmount).toHaveBeenCalledTimes(1);
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('redacts errors', async () => {
|
|
|
|
|
const { io, stderr } = makeIo();
|
|
|
|
|
await expect(startLiveMemoryFlowTui(runningReplayInput(), io, { renderInk: () => { throw new Error('postgres://x?token=y'); } })).resolves.toBeNull();
|
|
|
|
|
expect(stderr()).toContain('[redacted-url]');
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describe('renderMemoryFlowTui', () => {
|
|
|
|
|
it('renders and returns true', async () => {
|
|
|
|
|
const { io } = makeIo();
|
|
|
|
|
const instance = fakeInkInstance();
|
|
|
|
|
await expect(renderMemoryFlowTui(replayInput(), io, { renderInk: () => instance })).resolves.toBe(true);
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('scales event timing with the speed multiplier while keeping animations normal speed', async () => {
|
|
|
|
|
const { io } = makeIo();
|
|
|
|
|
const instance = fakeInkInstance();
|
|
|
|
|
let renderedTree: ReactNode = null;
|
|
|
|
|
|
|
|
|
|
await expect(
|
|
|
|
|
renderMemoryFlowTui(replayInput(), io, {
|
|
|
|
|
speedMultiplier: 0.125,
|
|
|
|
|
renderInk: (tree) => {
|
|
|
|
|
renderedTree = tree;
|
|
|
|
|
return instance;
|
|
|
|
|
},
|
|
|
|
|
}),
|
|
|
|
|
).resolves.toBe(true);
|
|
|
|
|
|
|
|
|
|
expect(renderedAppProps(renderedTree)).toMatchObject({
|
|
|
|
|
paceMsPerEvent: 1440,
|
|
|
|
|
frameMs: 140,
|
|
|
|
|
completionFrameMs: 80,
|
|
|
|
|
completionHoldMs: 1000,
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('redacts errors', async () => {
|
|
|
|
|
const { io, stderr } = makeIo();
|
|
|
|
|
await expect(renderMemoryFlowTui(replayInput(), io, { renderInk: () => { throw new Error('postgres://x?token=y'); } })).resolves.toBe(false);
|
|
|
|
|
expect(stderr()).toContain('[redacted-url]');
|
|
|
|
|
});
|
|
|
|
|
});
|