mirror of
https://github.com/Kaelio/ktx.git
synced 2026-06-10 08:05:14 +02:00
* 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
649 lines
20 KiB
TypeScript
649 lines
20 KiB
TypeScript
import { describe, expect, it } from 'vitest';
|
|
import type {
|
|
KtxEnrichedColumn,
|
|
KtxEnrichedSchema,
|
|
KtxEnrichedTable,
|
|
KtxRelationshipEndpoint,
|
|
} from '../../../src/context/scan/enrichment-types.js';
|
|
import type { KtxRelationshipProfileArtifact } from '../../../src/context/scan/relationship-profiling.js';
|
|
import type { KtxValidatedRelationshipDiscoveryCandidate } from '../../../src/context/scan/relationship-validation.js';
|
|
import { resolveKtxRelationshipGraph } from '../../../src/context/scan/relationship-graph-resolver.js';
|
|
|
|
function column(tableId: string, name: string, overrides: Partial<KtxEnrichedColumn> = {}): KtxEnrichedColumn {
|
|
const tableRef = overrides.tableRef ?? { catalog: null, db: null, name: tableId };
|
|
return {
|
|
id: `${tableId}.${name}`,
|
|
tableId,
|
|
tableRef,
|
|
name,
|
|
nativeType: overrides.nativeType ?? 'INTEGER',
|
|
normalizedType: overrides.normalizedType ?? 'integer',
|
|
dimensionType: overrides.dimensionType ?? 'number',
|
|
nullable: overrides.nullable ?? true,
|
|
primaryKey: overrides.primaryKey ?? false,
|
|
parentColumnId: null,
|
|
descriptions: {},
|
|
embedding: null,
|
|
sampleValues: null,
|
|
cardinality: null,
|
|
...overrides,
|
|
};
|
|
}
|
|
|
|
function table(name: string, columns: KtxEnrichedColumn[]): KtxEnrichedTable {
|
|
const ref = { catalog: null, db: null, name };
|
|
return {
|
|
id: name,
|
|
ref,
|
|
enabled: true,
|
|
descriptions: {},
|
|
columns: columns.map((item) => ({ ...item, tableId: name, tableRef: ref })),
|
|
};
|
|
}
|
|
|
|
function schema(overrides: { accountsPrimaryKey?: boolean } = {}): KtxEnrichedSchema {
|
|
return {
|
|
connectionId: 'warehouse',
|
|
tables: [
|
|
table('accounts', [
|
|
column('accounts', 'id', { nullable: false, primaryKey: overrides.accountsPrimaryKey ?? false }),
|
|
column('accounts', 'name', { nativeType: 'TEXT', normalizedType: 'text', dimensionType: 'string' }),
|
|
]),
|
|
table('account_archive', [column('account_archive', 'id', { nullable: false })]),
|
|
table('users', [
|
|
column('users', 'id', { nullable: false }),
|
|
column('users', 'account_id', { nullable: false }),
|
|
]),
|
|
],
|
|
relationships: [],
|
|
};
|
|
}
|
|
|
|
function endpoint(tableName: string, columnName: string): KtxRelationshipEndpoint {
|
|
return {
|
|
tableId: tableName,
|
|
columnIds: [`${tableName}.${columnName}`],
|
|
table: { catalog: null, db: null, name: tableName },
|
|
columns: [columnName],
|
|
};
|
|
}
|
|
|
|
function profiles(): KtxRelationshipProfileArtifact {
|
|
return {
|
|
connectionId: 'warehouse',
|
|
driver: 'sqlite',
|
|
sqlAvailable: true,
|
|
queryCount: 0,
|
|
tables: [
|
|
{ table: { catalog: null, db: null, name: 'accounts' }, rowCount: 3 },
|
|
{ table: { catalog: null, db: null, name: 'account_archive' }, rowCount: 3 },
|
|
{ table: { catalog: null, db: null, name: 'users' }, rowCount: 3 },
|
|
],
|
|
columns: {
|
|
'accounts.id': {
|
|
table: { catalog: null, db: null, name: 'accounts' },
|
|
column: 'id',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['1', '2', '3'],
|
|
minTextLength: 1,
|
|
maxTextLength: 1,
|
|
},
|
|
'account_archive.id': {
|
|
table: { catalog: null, db: null, name: 'account_archive' },
|
|
column: 'id',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['1', '2', '3'],
|
|
minTextLength: 1,
|
|
maxTextLength: 1,
|
|
},
|
|
'users.account_id': {
|
|
table: { catalog: null, db: null, name: 'users' },
|
|
column: 'account_id',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['1', '2', '3'],
|
|
minTextLength: 1,
|
|
maxTextLength: 1,
|
|
},
|
|
},
|
|
warnings: [],
|
|
};
|
|
}
|
|
|
|
function validatedCandidate(
|
|
overrides: Partial<KtxValidatedRelationshipDiscoveryCandidate> = {},
|
|
): KtxValidatedRelationshipDiscoveryCandidate {
|
|
const from = overrides.from ?? endpoint('users', 'account_id');
|
|
const to = overrides.to ?? endpoint('accounts', 'id');
|
|
return {
|
|
id: `${from.tableId}:(${from.columnIds.join(',')})->${to.tableId}:(${to.columnIds.join(',')})`,
|
|
from,
|
|
to,
|
|
relationshipType: 'many_to_one',
|
|
confidence: overrides.confidence ?? 0.95,
|
|
source: overrides.source ?? 'normalized_table_match',
|
|
status: overrides.status ?? 'accepted',
|
|
score: overrides.score ?? 0.96,
|
|
evidence: {
|
|
sourceColumnBase: 'account',
|
|
targetTableBase: to.table.name,
|
|
targetColumnBase: to.columns[0] ?? '',
|
|
targetKeyScore: 0.92,
|
|
nameScore: 0.92,
|
|
reasons: ['foreign_key_suffix', 'normalized_table_name', 'target_key_like'],
|
|
...overrides.evidence,
|
|
},
|
|
validation: {
|
|
targetUniqueness: 1,
|
|
sourceCoverage: 1,
|
|
violationCount: 0,
|
|
violationRatio: 0,
|
|
sourceNullRate: 0,
|
|
targetNullRate: 0,
|
|
childDistinct: 3,
|
|
parentDistinct: 3,
|
|
overlap: 3,
|
|
checkedValues: 3,
|
|
reasons: ['validation_passed'],
|
|
...overrides.validation,
|
|
},
|
|
...overrides,
|
|
};
|
|
}
|
|
|
|
describe('relationship graph resolver', () => {
|
|
it('promotes validated relationship discovery references to accepted relationships and inferred PKs', () => {
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: schema(),
|
|
profiles: profiles(),
|
|
candidates: [validatedCandidate()],
|
|
});
|
|
|
|
expect(result.pks).toContainEqual({
|
|
table: 'accounts',
|
|
columns: ['id'],
|
|
pkScore: expect.any(Number),
|
|
status: 'accepted',
|
|
incomingCandidateCount: 1,
|
|
evidence: {
|
|
declaredPrimaryKey: false,
|
|
targetUniqueness: 1,
|
|
incomingAcceptedCount: 1,
|
|
incomingReviewCount: 0,
|
|
reasons: expect.arrayContaining(['unique_target_column', 'incoming_validated_reference']),
|
|
},
|
|
});
|
|
expect(result.pks.find((pk) => pk.table === 'accounts')?.pkScore).toBeGreaterThanOrEqual(0.85);
|
|
expect(result.relationships).toHaveLength(1);
|
|
expect(result.relationships[0]).toMatchObject({
|
|
from: { table: { name: 'users' }, columns: ['account_id'] },
|
|
to: { table: { name: 'accounts' }, columns: ['id'] },
|
|
status: 'accepted',
|
|
pkScore: expect.any(Number),
|
|
fkScore: expect.any(Number),
|
|
graph: {
|
|
reasons: expect.arrayContaining(['target_pk_score_passed', 'fk_score_passed']),
|
|
},
|
|
});
|
|
expect(result.relationships[0]?.fkScore).toBeGreaterThanOrEqual(0.85);
|
|
});
|
|
|
|
it('keeps validation-unavailable candidates in review even when name evidence is strong', () => {
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: schema(),
|
|
profiles: { ...profiles(), sqlAvailable: false, columns: {}, warnings: ['read_only_sql_unavailable'] },
|
|
candidates: [
|
|
validatedCandidate({
|
|
status: 'review',
|
|
score: 0.57,
|
|
validation: {
|
|
targetUniqueness: 0,
|
|
sourceCoverage: 0,
|
|
violationCount: 0,
|
|
violationRatio: 1,
|
|
sourceNullRate: 0,
|
|
targetNullRate: 0,
|
|
childDistinct: 0,
|
|
parentDistinct: 0,
|
|
overlap: 0,
|
|
checkedValues: 0,
|
|
reasons: ['validation_unavailable'],
|
|
},
|
|
}),
|
|
],
|
|
});
|
|
|
|
expect(result.relationships).toHaveLength(1);
|
|
expect(result.relationships[0]).toMatchObject({
|
|
status: 'review',
|
|
graph: {
|
|
reasons: expect.arrayContaining(['validation_unavailable_review_only']),
|
|
},
|
|
});
|
|
expect(result.relationships[0]?.fkScore).toBeGreaterThanOrEqual(0.55);
|
|
});
|
|
|
|
it('accepts at most one target per source column and rejects the lower-scored conflict loser', () => {
|
|
const winner = validatedCandidate({ confidence: 0.95, score: 0.96 });
|
|
const loser = validatedCandidate({
|
|
from: endpoint('users', 'account_id'),
|
|
to: endpoint('account_archive', 'id'),
|
|
confidence: 0.85,
|
|
score: 0.9,
|
|
evidence: {
|
|
sourceColumnBase: 'account',
|
|
targetTableBase: 'account_archive',
|
|
targetColumnBase: 'id',
|
|
targetKeyScore: 0.92,
|
|
nameScore: 0.78,
|
|
reasons: ['foreign_key_suffix', 'inflection', 'target_key_like'],
|
|
},
|
|
});
|
|
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: schema(),
|
|
profiles: profiles(),
|
|
candidates: [loser, winner],
|
|
});
|
|
|
|
expect(result.relationships.map((relationship) => relationship.status)).toEqual(['accepted', 'rejected']);
|
|
expect(result.relationships[0]?.to.table.name).toBe('accounts');
|
|
expect(result.relationships[1]).toMatchObject({
|
|
to: { table: { name: 'account_archive' }, columns: ['id'] },
|
|
status: 'rejected',
|
|
graph: {
|
|
reasons: expect.arrayContaining(['conflict_lost']),
|
|
},
|
|
});
|
|
});
|
|
|
|
it('preserves declared primary keys as accepted even without incoming candidates', () => {
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: schema({ accountsPrimaryKey: true }),
|
|
profiles: profiles(),
|
|
candidates: [],
|
|
});
|
|
|
|
expect(result.relationships).toEqual([]);
|
|
expect(result.pks).toContainEqual({
|
|
table: 'accounts',
|
|
columns: ['id'],
|
|
pkScore: 1,
|
|
status: 'accepted',
|
|
incomingCandidateCount: 0,
|
|
evidence: {
|
|
declaredPrimaryKey: true,
|
|
targetUniqueness: 1,
|
|
incomingAcceptedCount: 0,
|
|
incomingReviewCount: 0,
|
|
reasons: ['declared_primary_key'],
|
|
},
|
|
});
|
|
});
|
|
|
|
it('infers profile-only key-like columns without incoming relationship candidates', () => {
|
|
const baseSchema = schema();
|
|
const invoices = table('invoices', [
|
|
column('invoices', 'id', { nullable: false }),
|
|
column('invoices', 'invoice_number', {
|
|
nativeType: 'TEXT',
|
|
normalizedType: 'text',
|
|
dimensionType: 'string',
|
|
nullable: false,
|
|
}),
|
|
column('invoices', 'amount', {
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
dimensionType: 'number',
|
|
nullable: false,
|
|
}),
|
|
]);
|
|
const baseProfiles = profiles();
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: { ...baseSchema, tables: [...baseSchema.tables, invoices] },
|
|
profiles: {
|
|
...baseProfiles,
|
|
tables: [...baseProfiles.tables, { table: invoices.ref, rowCount: 3 }],
|
|
columns: {
|
|
...baseProfiles.columns,
|
|
'invoices.id': {
|
|
table: invoices.ref,
|
|
column: 'id',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['1', '2', '3'],
|
|
minTextLength: 1,
|
|
maxTextLength: 1,
|
|
},
|
|
'invoices.invoice_number': {
|
|
table: invoices.ref,
|
|
column: 'invoice_number',
|
|
nativeType: 'TEXT',
|
|
normalizedType: 'text',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['INV-1', 'INV-2', 'INV-3'],
|
|
minTextLength: 5,
|
|
maxTextLength: 5,
|
|
},
|
|
'invoices.amount': {
|
|
table: invoices.ref,
|
|
column: 'amount',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 2,
|
|
uniquenessRatio: 2 / 3,
|
|
nullRate: 0,
|
|
sampleValues: ['100', '200'],
|
|
minTextLength: 3,
|
|
maxTextLength: 3,
|
|
},
|
|
},
|
|
},
|
|
candidates: [],
|
|
});
|
|
|
|
expect(result.relationships).toEqual([]);
|
|
expect(result.pks).toContainEqual({
|
|
table: 'invoices',
|
|
columns: ['id'],
|
|
pkScore: 1,
|
|
status: 'accepted',
|
|
incomingCandidateCount: 0,
|
|
evidence: {
|
|
declaredPrimaryKey: false,
|
|
targetUniqueness: 1,
|
|
incomingAcceptedCount: 0,
|
|
incomingReviewCount: 0,
|
|
reasons: expect.arrayContaining([
|
|
'unique_target_column',
|
|
'profile_key_name',
|
|
'not_null_profile',
|
|
'profile_only_primary_key',
|
|
'no_incoming_references',
|
|
]),
|
|
},
|
|
});
|
|
expect(result.pks).toContainEqual(
|
|
expect.objectContaining({
|
|
table: 'invoices',
|
|
columns: ['invoice_number'],
|
|
status: 'review',
|
|
evidence: expect.objectContaining({
|
|
reasons: expect.arrayContaining(['profile_only_primary_key', 'weak_name_profile_key']),
|
|
}),
|
|
}),
|
|
);
|
|
expect(result.pks.some((pk) => pk.table === 'invoices' && pk.columns[0] === 'amount')).toBe(false);
|
|
});
|
|
|
|
it('pins single-incoming column_suffix_match resolver scores', () => {
|
|
const schema = {
|
|
connectionId: 'warehouse',
|
|
relationships: [],
|
|
tables: [
|
|
{
|
|
id: 'plans-id',
|
|
ref: { catalog: null, db: null, name: 'stg_plans' },
|
|
enabled: true,
|
|
descriptions: {},
|
|
columns: [
|
|
{
|
|
id: 'plan-code-col',
|
|
tableId: 'plans-id',
|
|
tableRef: { catalog: null, db: null, name: 'stg_plans' },
|
|
name: 'plan_code',
|
|
nativeType: 'TEXT',
|
|
normalizedType: 'text',
|
|
dimensionType: 'string',
|
|
nullable: false,
|
|
primaryKey: false,
|
|
parentColumnId: null,
|
|
descriptions: {},
|
|
embedding: null,
|
|
sampleValues: null,
|
|
cardinality: null,
|
|
},
|
|
],
|
|
},
|
|
{
|
|
id: 'segments-id',
|
|
ref: { catalog: null, db: null, name: 'mart_account_segments' },
|
|
enabled: true,
|
|
descriptions: {},
|
|
columns: [
|
|
{
|
|
id: 'current-plan-code-col',
|
|
tableId: 'segments-id',
|
|
tableRef: { catalog: null, db: null, name: 'mart_account_segments' },
|
|
name: 'current_plan_code',
|
|
nativeType: 'TEXT',
|
|
normalizedType: 'text',
|
|
dimensionType: 'string',
|
|
nullable: false,
|
|
primaryKey: false,
|
|
parentColumnId: null,
|
|
descriptions: {},
|
|
embedding: null,
|
|
sampleValues: null,
|
|
cardinality: null,
|
|
},
|
|
],
|
|
},
|
|
],
|
|
} satisfies KtxEnrichedSchema;
|
|
const profiles = {
|
|
connectionId: 'warehouse',
|
|
driver: 'sqlite' as const,
|
|
sqlAvailable: true,
|
|
queryCount: 0,
|
|
tables: [],
|
|
warnings: [],
|
|
columns: {
|
|
'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,
|
|
},
|
|
},
|
|
};
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema,
|
|
profiles,
|
|
candidates: [
|
|
{
|
|
id: 'segments:(current_plan_code)->plans:(plan_code)',
|
|
from: {
|
|
tableId: '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',
|
|
confidence: 0.902,
|
|
source: 'column_suffix_match',
|
|
evidence: {
|
|
sourceColumnBase: 'current_plan',
|
|
targetTableBase: 'plan',
|
|
targetColumnBase: 'plan_code',
|
|
targetKeyScore: 0.86,
|
|
nameScore: 0.78,
|
|
reasons: ['column_suffix_match', 'profile_unique_target'],
|
|
},
|
|
status: 'accepted',
|
|
score: 0.98,
|
|
validation: {
|
|
targetUniqueness: 1,
|
|
sourceCoverage: 1,
|
|
violationCount: 0,
|
|
violationRatio: 0,
|
|
sourceNullRate: 0,
|
|
targetNullRate: 0,
|
|
childDistinct: 4,
|
|
parentDistinct: 4,
|
|
overlap: 4,
|
|
checkedValues: 4,
|
|
reasons: ['validation_passed'],
|
|
},
|
|
},
|
|
],
|
|
});
|
|
|
|
expect(result.pks).toEqual([
|
|
expect.objectContaining({
|
|
table: 'stg_plans',
|
|
columns: ['plan_code'],
|
|
pkScore: 0.922,
|
|
status: 'accepted',
|
|
}),
|
|
]);
|
|
expect(result.relationships).toEqual([
|
|
expect.objectContaining({
|
|
source: 'column_suffix_match',
|
|
status: 'accepted',
|
|
pkScore: 0.922,
|
|
fkScore: 0.953,
|
|
}),
|
|
]);
|
|
});
|
|
|
|
it('keeps strong profile-only primary key evidence when name evidence is weak', () => {
|
|
const baseSchema = schema();
|
|
baseSchema.tables.push(
|
|
table('events', [
|
|
column('events', 'warehouse_key', {
|
|
nullable: false,
|
|
primaryKey: false,
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
}),
|
|
]),
|
|
);
|
|
|
|
const baseProfiles = profiles();
|
|
baseProfiles.tables.push({ table: { catalog: null, db: null, name: 'events' }, rowCount: 3 });
|
|
baseProfiles.columns['events.warehouse_key'] = {
|
|
table: { catalog: null, db: null, name: 'events' },
|
|
column: 'warehouse_key',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['100', '101', '102'],
|
|
minTextLength: 3,
|
|
maxTextLength: 3,
|
|
};
|
|
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: baseSchema,
|
|
profiles: baseProfiles,
|
|
candidates: [],
|
|
});
|
|
|
|
expect(result.pks).toEqual(
|
|
expect.arrayContaining([
|
|
expect.objectContaining({
|
|
table: 'events',
|
|
columns: ['warehouse_key'],
|
|
status: 'review',
|
|
evidence: expect.objectContaining({
|
|
reasons: expect.arrayContaining(['profile_only_primary_key', 'weak_name_profile_key']),
|
|
}),
|
|
}),
|
|
]),
|
|
);
|
|
});
|
|
|
|
it('keeps strong profile-only primary key evidence when the column is not key-shaped', () => {
|
|
const baseSchema = schema();
|
|
baseSchema.tables.push(
|
|
table('events', [
|
|
column('events', 'opaque_reference', {
|
|
nullable: false,
|
|
primaryKey: false,
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
}),
|
|
]),
|
|
);
|
|
|
|
const baseProfiles = profiles();
|
|
baseProfiles.tables.push({ table: { catalog: null, db: null, name: 'events' }, rowCount: 3 });
|
|
baseProfiles.columns['events.opaque_reference'] = {
|
|
table: { catalog: null, db: null, name: 'events' },
|
|
column: 'opaque_reference',
|
|
nativeType: 'INTEGER',
|
|
normalizedType: 'integer',
|
|
rowCount: 3,
|
|
nullCount: 0,
|
|
distinctCount: 3,
|
|
uniquenessRatio: 1,
|
|
nullRate: 0,
|
|
sampleValues: ['100', '101', '102'],
|
|
minTextLength: 3,
|
|
maxTextLength: 3,
|
|
};
|
|
|
|
const result = resolveKtxRelationshipGraph({
|
|
schema: baseSchema,
|
|
profiles: baseProfiles,
|
|
candidates: [],
|
|
});
|
|
|
|
const inferredPk = result.pks.find((candidate) => candidate.table === 'events');
|
|
expect(inferredPk).toMatchObject({
|
|
table: 'events',
|
|
columns: ['opaque_reference'],
|
|
status: 'review',
|
|
evidence: expect.objectContaining({
|
|
reasons: expect.arrayContaining(['profile_only_primary_key', 'weak_name_profile_key']),
|
|
}),
|
|
});
|
|
expect(inferredPk?.pkScore).toBeGreaterThanOrEqual(0.55);
|
|
});
|
|
});
|