mirror of
https://github.com/Kaelio/ktx.git
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* refactor(connectors): split KtxDialect into core and KtxSqlDialect Separate the dialect contract into a driver-agnostic core (display/ref formatting and type mapping) and a SQL-only extension (query generators). The catalog and entity-details paths resolve the core dialect for any snapshot driver, so it must stay free of SQL generation; this is the prerequisite refactor for adding non-SQL primary sources. - KtxDialect keeps type, formatDisplayRef, parseDisplayRef, columnDisplayTablePartCount, mapDataType, mapToDimensionType - KtxSqlDialect extends it with quoteIdentifier, formatTableName, and the query/sample/statistics generators; the 7 SQL dialects implement it - add getSqlDialectForDriver for SQL drivers; the 7 connectors and the relationship-benchmark harness consume it - thread the relationship pipeline (profiling/validation/composite/ discovery) as KtxSqlDialect | null so a non-SQL source skips coverage SQL and its candidates stay in review; local-enrichment builds the SQL dialect only when the connector advertises readOnlySql Pure extraction: no behavior change for the existing 7 drivers. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(connectors): add MongoDB connector for issue #305 Add a read-only MongoDB connector that treats a database as a primary context source: collections map to tables and inferred top-level fields to columns. MongoDB is the first non-SQL source (readOnlySql: false), so ktx sql and metric compilation do not apply, but its collections flow through ingest, descriptions, and relationship discovery. - schema-inference: infer a flat column schema from the most recent sample_size documents (by _id desc, or order_by for non-ObjectId keys). Union BSON types per field, mark multi-type fields mixed (string), keep sub-documents/arrays as a single opaque json column, derive nullability from presence, treat _id as the primary key - connector: KtxMongoDbScanConnector behind an injectable client seam; strictly read-only (find/listCollections/estimatedDocumentCount only), no executeReadOnly; resolves env:/file: via resolveKtxConfigReference - core-only KtxMongoDbDialect and a live-database introspection adapter - wire the mongodb driver: driver union, dialect registry, driver registration (scopeConfigKey databases), mongodbConnectionSchema, connection-drivers, normalizeDriver, the live-database route, and the ktx setup picker. ktx sql is refused by the read-only SQL capability gate - tests: schema inference, connector snapshot via a fake client, dialect, driver-schema parsing, and the ktx sql rejection Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(integrations): document the MongoDB primary source Add a MongoDB section to the primary-sources reference: connection config (url, databases, enabled_tables, sample_size, order_by), mongodb+srv/TLS/ Atlas notes, the schema-inference explainer, a features matrix, and the non-SQL caveat. Update the frontmatter and connection field reference. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(connectors): address review blockers on the MongoDB connector - introspect: skip estimatedDocumentCount for views. The count command is rejected on a MongoDB view (CommandNotSupportedOnView), so counting a view aborted introspect for the whole connection; compute estimatedRows only for real collections, as ClickHouse does. - sl: refuse a semantic-layer query against a non-SQL connection instead of defaulting it to the Postgres dialect. compileLocalSlQuery (the shared CLI + MCP path) now rejects a driver with no SQL dialect via the new isSqlQueryableDriver authority, keeping MongoDB context-only per issue #305. - tests: cover input.tableScope and the empty-scope skip for the Mongo connector (the scan layer does not post-filter), the view no-count path, and the ktx sl query refusal for a mongodb connection. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * polish(mongodb): compute sampled nullCount and document sampling caveats Address the non-blocking review notes: - sampleColumn now counts null/absent values over the sampled window instead of returning nullCount: null, since the documents are already in hand - warn that a custom order_by must be indexed (an unindexed sort hits MongoDB's in-memory sort limit on large collections) in the connection schema and docs - note that sampled values for nested fields are stringified, not faithfully serialized, so the json opacity is deliberate Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(examples): add a MongoDB connector example A manual, container-backed example mirroring examples/postgres-historic: - docker-compose.yml + init/seed.js seed a representative dataset (nested documents, arrays, a Decimal128, a mixed-type field, a nullable field, an ObjectId reference, and a view) on first container start - scripts/smoke.sh + introspect-smoke.mjs assert the connector's inferred schema with no LLM credentials — the same introspection entry point ktx ingest's database-schema stage uses, including the view-no-count path - README.md documents the smoke and a full keyless ktx ingest run (claude-code LLM + managed sentence-transformers embeddings) Works with Docker Compose or podman compose. Verified end to end. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * chore: ignore examples/** in knip to fix dead-code false positives The MongoDB connector example files (examples/mongodb/init/seed.js and examples/mongodb/scripts/introspect-smoke.mjs) are used at runtime but were flagged as unused by knip. Add examples/** to the ignore array, matching the existing .context/** entry. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0114qQV8fJ5a5ME3XbMVRzbL * fix(mongodb): refuse non-SQL connections before SQL analysis `ktx sql` and the MCP sql_execution tool resolved a SQL-analysis dialect (falling back to Postgres for a non-SQL driver) and ran read-only validation before the connector capability gate refused the connection. For a MongoDB connection that spun up the parser/daemon and produced Postgres parser diagnostics instead of a clean non-SQL refusal. Route both entry points through a shared assertSqlQueryableConnection guard before dialect selection, mirroring compileLocalSlQuery. The federated duckdb path has no driver and is exempted at each call site. Add CLI and MCP regression tests asserting validation/connector work never starts for a MongoDB connection. * fix(mongodb): pass CI gates (dialect boundary, secrets, setup test) Three latent failures in the connector surfaced once CI ran on the branch: - connector.ts imported the concrete KtxMongoDbDialect, which the connector dialect-import boundary forbids. Route it through getDialectForDriver('mongodb') and widen inferKtxMongoCollectionColumns to the base KtxDialect (it only uses mapDataType/mapToDimensionType). - detect-secrets flagged a test ObjectId hex and the mongodb+srv example URL; annotate both with allowlist pragmas. - the "shows every supported database" setup test omitted the new MongoDB option. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Luca Martial <48870843+luca-martial@users.noreply.github.com> Co-authored-by: Luca Martial <lucamrtl@gmail.com> Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
506 lines
18 KiB
TypeScript
506 lines
18 KiB
TypeScript
import Database from 'better-sqlite3';
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import { afterEach, describe, expect, it } from 'vitest';
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import { getSqlDialectForDriver } from '../../../src/context/connections/dialects.js';
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import type { KtxEnrichedColumn, KtxEnrichedSchema, KtxEnrichedTable } from '../../../src/context/scan/enrichment-types.js';
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import { generateKtxRelationshipDiscoveryCandidates } from '../../../src/context/scan/relationship-candidates.js';
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import type { KtxRelationshipProfileArtifact } from '../../../src/context/scan/relationship-profiling.js';
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import { profileKtxRelationshipSchema } from '../../../src/context/scan/relationship-profiling.js';
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import { validateKtxRelationshipDiscoveryCandidates } from '../../../src/context/scan/relationship-validation.js';
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import type { KtxQueryResult, KtxReadOnlyQueryInput, KtxScanContext } from '../../../src/context/scan/types.js';
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// This harness runs SQL directly through SQLite; row-limit wrapper coverage lives
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// in read-only-sql.test.ts and the SQL Server connector test.
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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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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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dialect: getSqlDialectForDriver('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) => {
|
|
active += 1;
|
|
maxActive = Math.max(maxActive, active);
|
|
await new Promise((resolve) => setTimeout(resolve, input.sql.includes('WITH child_values') ? 10 : 0));
|
|
const result = await executor.executeReadOnly(input, ctx);
|
|
active -= 1;
|
|
return result;
|
|
},
|
|
};
|
|
|
|
const testSchema = schema([
|
|
table('accounts', [column('accounts', 'id', { nullable: false })]),
|
|
table('orders', [column('orders', 'id', { nullable: false }), column('orders', 'account_id')]),
|
|
table('invoices', [column('invoices', 'id', { nullable: false }), column('invoices', 'account_id')]),
|
|
]);
|
|
const profiles = await profileKtxRelationshipSchema({
|
|
connectionId: 'warehouse',
|
|
driver: 'sqlite',
|
|
dialect: getSqlDialectForDriver('sqlite'),
|
|
schema: testSchema,
|
|
executor,
|
|
ctx: { runId: 'validation-concurrency-profile' },
|
|
});
|
|
const candidates = generateKtxRelationshipDiscoveryCandidates(testSchema);
|
|
|
|
await validateKtxRelationshipDiscoveryCandidates({
|
|
connectionId: 'warehouse',
|
|
dialect: getSqlDialectForDriver('sqlite'),
|
|
candidates,
|
|
profiles,
|
|
executor: throttled,
|
|
ctx: { runId: 'validation-concurrency' },
|
|
tableCount: testSchema.tables.length,
|
|
settings: { concurrency: 1 },
|
|
});
|
|
|
|
expect(maxActive).toBe(1);
|
|
executor.close();
|
|
});
|
|
|
|
it('pins column_suffix_match validation scoring for plan-code suffix candidates', async () => {
|
|
const candidate = {
|
|
id: 'mart:(current_plan_code)->plans:(plan_code)',
|
|
from: {
|
|
tableId: 'mart-account-segments-id',
|
|
columnIds: ['current-plan-code-col'],
|
|
table: { catalog: null, db: null, name: 'mart_account_segments' },
|
|
columns: ['current_plan_code'],
|
|
},
|
|
to: {
|
|
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',
|
|
dialect: getSqlDialectForDriver('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'],
|
|
},
|
|
});
|
|
});
|
|
});
|