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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
This commit is contained in:
Andrey Avtomonov
GitHub
parent
924868841d
commit
56985b7e09
548 changed files with 5048 additions and 2228 deletions
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@ -1,497 +0,0 @@
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import Database from 'better-sqlite3';
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import { afterEach, describe, expect, it } from 'vitest';
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import type { KtxEnrichedColumn, KtxEnrichedSchema, KtxEnrichedTable } from './enrichment-types.js';
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import { generateKtxRelationshipDiscoveryCandidates } from './relationship-candidates.js';
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import type { KtxRelationshipProfileArtifact } from './relationship-profiling.js';
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import { profileKtxRelationshipSchema } from './relationship-profiling.js';
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import { validateKtxRelationshipDiscoveryCandidates } from './relationship-validation.js';
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import type { KtxQueryResult, KtxReadOnlyQueryInput, KtxScanContext } from './types.js';
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class InMemorySqliteExecutor {
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readonly db = new Database(':memory:');
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queryCount = 0;
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executeReadOnly(input: KtxReadOnlyQueryInput, _ctx: KtxScanContext): Promise<KtxQueryResult> {
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this.queryCount += 1;
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const rows = this.db.prepare(input.sql).all() as Record<string, unknown>[];
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const headers = Object.keys(rows[0] ?? {});
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return Promise.resolve({
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headers,
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rows: rows.map((row) => headers.map((header) => row[header])),
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totalRows: rows.length,
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rowCount: rows.length,
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});
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}
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close(): void {
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this.db.close();
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}
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}
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function column(tableId: string, name: string, overrides: Partial<KtxEnrichedColumn> = {}): KtxEnrichedColumn {
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const tableRef = overrides.tableRef ?? { catalog: null, db: null, name: tableId };
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return {
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id: `${tableId}.${name}`,
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tableId,
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tableRef,
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name,
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nativeType: overrides.nativeType ?? 'INTEGER',
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normalizedType: overrides.normalizedType ?? 'integer',
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dimensionType: overrides.dimensionType ?? 'number',
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nullable: overrides.nullable ?? true,
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primaryKey: overrides.primaryKey ?? false,
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parentColumnId: null,
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descriptions: {},
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embedding: null,
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sampleValues: null,
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cardinality: null,
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...overrides,
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};
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}
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function table(name: string, columns: KtxEnrichedColumn[]): KtxEnrichedTable {
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const ref = { catalog: null, db: null, name };
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return {
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id: name,
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ref,
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enabled: true,
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descriptions: {},
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columns: columns.map((item) => ({ ...item, tableId: name, tableRef: ref })),
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};
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}
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function schema(tables?: KtxEnrichedTable[]): KtxEnrichedSchema {
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return {
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connectionId: 'warehouse',
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tables: tables ?? [
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table('accounts', [
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column('accounts', 'id', { nullable: false }),
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column('accounts', 'name', { nativeType: 'TEXT', normalizedType: 'text', dimensionType: 'string' }),
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]),
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table('users', [column('users', 'id', { nullable: false }), column('users', 'account_id', { nullable: false })]),
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table('invoices', [
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column('invoices', 'id', { nullable: false }),
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column('invoices', 'account_id', { nullable: false }),
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]),
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],
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relationships: [],
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};
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}
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describe('relationship validation', () => {
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let executor: InMemorySqliteExecutor | null = null;
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afterEach(() => {
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executor?.close();
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executor = null;
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});
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it('accepts a relationship-discovery candidate with unique parent values and full source coverage', async () => {
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executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE accounts (id INTEGER, name TEXT);
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CREATE TABLE users (id INTEGER, account_id INTEGER);
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CREATE TABLE invoices (id INTEGER, account_id INTEGER);
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INSERT INTO accounts (id, name) VALUES (1, 'Acme'), (2, 'Globex'), (3, 'Initech');
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INSERT INTO users (id, account_id) VALUES (10, 1), (11, 2), (12, 3);
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INSERT INTO invoices (id, account_id) VALUES (20, 1), (21, 2), (22, 999);
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`);
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const testSchema = schema();
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'validate-test' },
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});
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const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema).filter(
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(candidate) => candidate.from.table.name === 'users',
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);
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const validated = await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates,
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profiles,
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executor,
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ctx: { runId: 'validate-test' },
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tableCount: testSchema.tables.length,
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});
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expect(validated).toHaveLength(1);
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expect(validated[0]).toMatchObject({
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from: { table: { name: 'users' }, columns: ['account_id'] },
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to: { table: { name: 'accounts' }, columns: ['id'] },
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status: 'accepted',
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score: expect.any(Number),
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validation: {
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targetUniqueness: 1,
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sourceCoverage: 1,
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violationCount: 0,
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violationRatio: 0,
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reasons: expect.arrayContaining(['validation_passed']),
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},
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});
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expect(validated[0]?.score).toBeGreaterThanOrEqual(0.85);
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});
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it('rejects a candidate with missing parent values and records the deterministic reason', async () => {
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executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE accounts (id INTEGER, name TEXT);
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CREATE TABLE users (id INTEGER, account_id INTEGER);
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CREATE TABLE invoices (id INTEGER, account_id INTEGER);
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INSERT INTO accounts (id, name) VALUES (1, 'Acme'), (2, 'Globex');
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INSERT INTO users (id, account_id) VALUES (10, 1), (11, 2);
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INSERT INTO invoices (id, account_id) VALUES (20, 1), (21, 999), (22, 1000);
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`);
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const testSchema = schema();
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'validate-test' },
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});
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const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema).filter(
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(candidate) => candidate.from.table.name === 'invoices',
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);
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const validated = await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates,
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profiles,
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executor,
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ctx: { runId: 'validate-test' },
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tableCount: testSchema.tables.length,
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settings: {
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minSourceCoverage: 0.9,
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maxViolationRatio: 0.01,
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},
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});
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expect(validated).toHaveLength(1);
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expect(validated[0]).toMatchObject({
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from: { table: { name: 'invoices' }, columns: ['account_id'] },
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to: { table: { name: 'accounts' }, columns: ['id'] },
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status: 'rejected',
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validation: {
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sourceCoverage: 1 / 3,
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violationCount: 2,
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violationRatio: 2 / 3,
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reasons: expect.arrayContaining(['low_source_coverage', 'excessive_violations']),
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},
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});
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});
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it('keeps over-budget candidates review-only without executing coverage SQL for them', async () => {
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executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE accounts (id INTEGER, name TEXT);
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CREATE TABLE users (id INTEGER, account_id INTEGER);
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CREATE TABLE invoices (id INTEGER, account_id INTEGER);
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INSERT INTO accounts (id, name) VALUES (1, 'Acme'), (2, 'Globex'), (3, 'Initech');
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INSERT INTO users (id, account_id) VALUES (10, 1), (11, 2), (12, 3);
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INSERT INTO invoices (id, account_id) VALUES (20, 1), (21, 2), (22, 3);
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`);
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const testSchema = schema();
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'validate-budget-profile' },
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});
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executor.queryCount = 0;
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const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema).map((candidate) => ({
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...candidate,
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confidence: candidate.from.table.name === 'users' ? 0.99 : 0.5,
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}));
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const validated = await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates,
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profiles,
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executor,
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ctx: { runId: 'validate-budget' },
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tableCount: testSchema.tables.length,
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settings: {
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validationBudget: 1,
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},
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});
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expect(executor.queryCount).toBe(1);
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expect(validated).toHaveLength(2);
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expect(validated.find((candidate) => candidate.from.table.name === 'users')).toMatchObject({
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status: 'accepted',
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validation: { reasons: expect.arrayContaining(['validation_passed']) },
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});
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expect(validated.find((candidate) => candidate.from.table.name === 'invoices')).toMatchObject({
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status: 'review',
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validation: {
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reasons: ['validation_unattempted'],
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},
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});
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});
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it('treats validation budget zero as review-only validation without coverage SQL', async () => {
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executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE accounts (id INTEGER, name TEXT);
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CREATE TABLE users (id INTEGER, account_id INTEGER);
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INSERT INTO accounts (id, name) VALUES (1, 'Acme'), (2, 'Globex');
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INSERT INTO users (id, account_id) VALUES (10, 1), (11, 2);
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`);
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const testSchema = schema([
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table('accounts', [
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column('accounts', 'id', { nullable: false }),
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column('accounts', 'name', { nativeType: 'TEXT', normalizedType: 'text', dimensionType: 'string' }),
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]),
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table('users', [column('users', 'id', { nullable: false }), column('users', 'account_id', { nullable: false })]),
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]);
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'validate-zero-budget-profile' },
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});
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executor.queryCount = 0;
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const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema);
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const validated = await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates,
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profiles,
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executor,
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ctx: { runId: 'validate-zero-budget' },
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tableCount: testSchema.tables.length,
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settings: {
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validationBudget: 0,
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},
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});
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expect(executor.queryCount).toBe(0);
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expect(validated).toHaveLength(1);
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expect(validated[0]).toMatchObject({
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status: 'review',
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score: expect.any(Number),
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validation: {
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checkedValues: 0,
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reasons: ['validation_unattempted'],
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},
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});
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});
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it('marks rejected LLM proposals with the spec rejection reason', async () => {
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executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE customers (id INTEGER);
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CREATE TABLE orders (buyer_ref INTEGER);
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INSERT INTO customers (id) VALUES (1), (2);
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INSERT INTO orders (buyer_ref) VALUES (98), (99);
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`);
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const testSchema = schema([
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table('customers', [column('customers', 'id', { nullable: false })]),
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table('orders', [column('orders', 'buyer_ref')]),
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]);
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'llm-rejected-validation' },
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});
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const [candidate] = generateKtxRelationshipDiscoveryCandidates(
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schema([
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table('customers', [column('customers', 'id', { nullable: false })]),
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table('orders', [column('orders', 'customer_id')]),
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]),
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);
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if (!candidate) {
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throw new Error('Expected base candidate');
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}
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const llmCandidate = {
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...candidate,
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id: 'orders:(orders.buyer_ref)->customers:(customers.id)',
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from: { ...candidate.from, columnIds: ['orders.buyer_ref'], columns: ['buyer_ref'] },
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source: 'llm_proposal' as const,
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evidence: {
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...candidate.evidence,
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reasons: ['llm_proposal'],
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llmConfidence: 0.84,
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llmRationale: 'Buyer references should map to customers.',
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},
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};
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const [validated] = await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates: [llmCandidate],
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profiles,
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executor,
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ctx: { runId: 'llm-rejected-validation' },
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tableCount: testSchema.tables.length,
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});
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expect(validated?.status).toBe('rejected');
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expect(validated?.validation.reasons).toEqual(
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expect.arrayContaining(['low_source_coverage', 'llm_proposed_but_validation_failed']),
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);
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});
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it('limits validation query concurrency', async () => {
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const executor = new InMemorySqliteExecutor();
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executor.db.exec(`
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CREATE TABLE accounts (id INTEGER NOT NULL);
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CREATE TABLE orders (id INTEGER NOT NULL, account_id INTEGER NOT NULL);
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CREATE TABLE invoices (id INTEGER NOT NULL, account_id INTEGER NOT NULL);
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INSERT INTO accounts VALUES (1), (2);
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INSERT INTO orders VALUES (10, 1), (11, 2);
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INSERT INTO invoices VALUES (20, 1), (21, 2);
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`);
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let active = 0;
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let maxActive = 0;
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const throttled = {
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executeReadOnly: async (input: KtxReadOnlyQueryInput, ctx: KtxScanContext) => {
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active += 1;
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maxActive = Math.max(maxActive, active);
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await new Promise((resolve) => setTimeout(resolve, input.sql.includes('WITH child_values') ? 10 : 0));
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const result = await executor.executeReadOnly(input, ctx);
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active -= 1;
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return result;
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},
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};
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const testSchema = schema([
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table('accounts', [column('accounts', 'id', { nullable: false })]),
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table('orders', [column('orders', 'id', { nullable: false }), column('orders', 'account_id')]),
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table('invoices', [column('invoices', 'id', { nullable: false }), column('invoices', 'account_id')]),
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]);
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const profiles = await profileKtxRelationshipSchema({
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connectionId: 'warehouse',
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driver: 'sqlite',
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schema: testSchema,
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executor,
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ctx: { runId: 'validation-concurrency-profile' },
|
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});
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const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema);
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await validateKtxRelationshipDiscoveryCandidates({
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connectionId: 'warehouse',
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driver: 'sqlite',
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candidates,
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profiles,
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executor: throttled,
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ctx: { runId: 'validation-concurrency' },
|
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tableCount: testSchema.tables.length,
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settings: { concurrency: 1 },
|
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});
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expect(maxActive).toBe(1);
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executor.close();
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});
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it('pins column_suffix_match validation scoring for plan-code suffix candidates', async () => {
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const candidate = {
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id: 'mart:(current_plan_code)->plans:(plan_code)',
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from: {
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tableId: 'mart-account-segments-id',
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columnIds: ['current-plan-code-col'],
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table: { catalog: null, db: null, name: 'mart_account_segments' },
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columns: ['current_plan_code'],
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},
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to: {
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tableId: 'plans-id',
|
||||
columnIds: ['plan-code-col'],
|
||||
table: { catalog: null, db: null, name: 'stg_plans' },
|
||||
columns: ['plan_code'],
|
||||
},
|
||||
relationshipType: 'many_to_one' as const,
|
||||
confidence: 0.902,
|
||||
source: 'column_suffix_match' as const,
|
||||
status: 'review' as const,
|
||||
evidence: {
|
||||
sourceColumnBase: 'current_plan',
|
||||
targetTableBase: 'plan',
|
||||
targetColumnBase: 'plan_code',
|
||||
targetKeyScore: 0.86,
|
||||
nameScore: 0.78,
|
||||
reasons: ['column_suffix_match', 'profile_unique_target'],
|
||||
},
|
||||
};
|
||||
const profiles = {
|
||||
connectionId: 'warehouse',
|
||||
driver: 'sqlite',
|
||||
sqlAvailable: true,
|
||||
queryCount: 0,
|
||||
tables: [],
|
||||
warnings: [],
|
||||
columns: {
|
||||
'mart_account_segments.current_plan_code': {
|
||||
table: { catalog: null, db: null, name: 'mart_account_segments' },
|
||||
column: 'current_plan_code',
|
||||
nativeType: 'TEXT',
|
||||
normalizedType: 'text',
|
||||
rowCount: 4,
|
||||
nullCount: 0,
|
||||
distinctCount: 4,
|
||||
uniquenessRatio: 1,
|
||||
nullRate: 0,
|
||||
sampleValues: ['basic', 'enterprise', 'free', 'pro'],
|
||||
minTextLength: 4,
|
||||
maxTextLength: 10,
|
||||
},
|
||||
'stg_plans.plan_code': {
|
||||
table: { catalog: null, db: null, name: 'stg_plans' },
|
||||
column: 'plan_code',
|
||||
nativeType: 'TEXT',
|
||||
normalizedType: 'text',
|
||||
rowCount: 4,
|
||||
nullCount: 0,
|
||||
distinctCount: 4,
|
||||
uniquenessRatio: 1,
|
||||
nullRate: 0,
|
||||
sampleValues: ['basic', 'enterprise', 'free', 'pro'],
|
||||
minTextLength: 4,
|
||||
maxTextLength: 10,
|
||||
},
|
||||
},
|
||||
} satisfies KtxRelationshipProfileArtifact;
|
||||
const executor = {
|
||||
async executeReadOnly() {
|
||||
return {
|
||||
headers: ['child_distinct', 'parent_distinct', 'overlap', 'violation_count'],
|
||||
rows: [[4, 4, 4, 0]],
|
||||
rowCount: 1,
|
||||
totalRows: 1,
|
||||
};
|
||||
},
|
||||
};
|
||||
|
||||
const [validated] = await validateKtxRelationshipDiscoveryCandidates({
|
||||
connectionId: 'warehouse',
|
||||
driver: 'sqlite',
|
||||
candidates: [candidate],
|
||||
profiles,
|
||||
executor,
|
||||
ctx: { runId: 'rule-b-validation-score' },
|
||||
tableCount: 2,
|
||||
});
|
||||
|
||||
expect(validated).toMatchObject({
|
||||
status: 'accepted',
|
||||
score: 0.98,
|
||||
validation: {
|
||||
targetUniqueness: 1,
|
||||
sourceCoverage: 1,
|
||||
violationRatio: 0,
|
||||
reasons: ['validation_passed'],
|
||||
},
|
||||
});
|
||||
});
|
||||
});
|
||||
Loading…
Add table
Add a link
Reference in a new issue