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* 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
87 lines
2.6 KiB
TypeScript
87 lines
2.6 KiB
TypeScript
import type { KtxTableRef } from '../scan/types.js';
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export type KtxDialectIdentifierShape = 'ansi' | 'sqlite' | 'three-part';
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export type KtxDialectTableRef = Pick<KtxTableRef, 'name'> & Partial<Pick<KtxTableRef, 'catalog' | 'db'>>;
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export function safeSqlLimit(limit: number): number {
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return Math.max(1, Math.floor(limit));
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}
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function safeSqlOffset(offset: number | undefined): number | null {
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if (offset === undefined) {
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return null;
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}
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const normalized = Math.floor(offset);
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return normalized > 0 ? normalized : null;
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}
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function cleanIdentifierPart(part: string): string {
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return part.trim().replace(/^["'`\[]|["'`\]]$/g, '');
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}
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function splitDisplay(display: string): string[] {
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return display.trim().split('.').map(cleanIdentifierPart).filter(Boolean);
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}
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function tableParts(table: KtxDialectTableRef, shape: KtxDialectIdentifierShape): string[] {
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if (shape === 'sqlite') {
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return [table.name];
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}
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return [table.catalog ?? null, table.db ?? null, table.name].filter((part): part is string => Boolean(part));
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}
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function acceptedDisplayPartCounts(shape: KtxDialectIdentifierShape): readonly number[] {
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if (shape === 'sqlite') {
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return [1];
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}
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if (shape === 'three-part') {
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return [3];
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}
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return [2, 3];
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}
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export function formatDialectTableName(
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table: KtxDialectTableRef,
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quoteIdentifier: (identifier: string) => string,
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shape: KtxDialectIdentifierShape,
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): string {
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return tableParts(table, shape).map(quoteIdentifier).join('.');
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}
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export function formatDialectDisplayRef(table: KtxDialectTableRef, shape: KtxDialectIdentifierShape): string {
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return tableParts(table, shape).join('.');
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}
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export function parseDialectDisplayRef(display: string, shape: KtxDialectIdentifierShape): KtxTableRef | null {
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const parts = splitDisplay(display);
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if (!acceptedDisplayPartCounts(shape).includes(parts.length)) {
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return null;
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}
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if (parts.length === 1) {
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return { catalog: null, db: null, name: parts[0]! };
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}
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if (parts.length === 2) {
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return { catalog: null, db: parts[0]!, name: parts[1]! };
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}
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if (parts.length === 3) {
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return { catalog: parts[0]!, db: parts[1]!, name: parts[2]! };
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}
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return null;
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}
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export function columnDisplayPartCount(shape: KtxDialectIdentifierShape): 1 | 2 | 3 {
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if (shape === 'sqlite') {
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return 1;
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}
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if (shape === 'three-part') {
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return 3;
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}
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return 2;
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}
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export function limitOffsetClause(limit: number, offset?: number): string {
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const safeLimit = safeSqlLimit(limit);
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const safeOffset = safeSqlOffset(offset);
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return safeOffset === null ? `LIMIT ${safeLimit}` : `LIMIT ${safeLimit} OFFSET ${safeOffset}`;
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}
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