ktx/packages/cli/src/sl.ts
Andrey Avtomonov 34d4a1e9e1 refactor(cli): delete internal barrel index.ts files
The 34 `index.ts` re-export barrels inside `packages/cli/src/` were
holdovers from the pre-fold multi-workspace structure. Post-fold-in they
served no production purpose: external consumers go through the single
package main entry, and in-repo callers mostly imported through them
only because the path was short. Internally, knip flagged most barrel
re-exports as production-dead (only reached via tests).

This change:
- Deletes every internal barrel except `packages/cli/src/index.ts`
  (the published package entry).
- Rewrites ~270 source/test files to import each name directly from
  the file that defines it.
- Moves `tools/warehouse-verification/index.ts` to
  `create-warehouse-verification-tools.ts` (the function it defined
  locally) and updates its single consumer.
- Renames `search/backend-conformance.ts` → `.test-utils.ts` to match
  the existing test-helper file convention.
- Deletes 13 dead test-only chains (dbt-descriptions/*,
  live-database/extracted-schema, live-database/structural-sync,
  relationship-* feedback/review chain) plus their tests and a
  cascading orphan integration test.
- Updates test mocks that pointed at deleted barrel paths
  (notion-client, connector barrels in scan/local-scan-connectors
  tests) to mock the source files instead.
- Points the maintainer benchmark script
  (`scripts/relationship-benchmark-report.mjs`) at source files
  instead of `dist/context/scan/index.js`.
- Drops the barrel `!` entries from `knip.json`; adds explicit
  production entries only for the benchmark code reached via dist by
  the maintainer script.

Net: 413 files changed, ~1.2k insertions, ~9.4k deletions.

`pnpm run dead-code` (Biome + knip default + knip production) and
`pnpm run type-check` are clean; 2277 tests pass.
2026-05-21 12:41:20 +02:00

280 lines
10 KiB
TypeScript

import { readFile } from 'node:fs/promises';
import { createDefaultLocalQueryExecutor } from './context/connections/local-query-executor.js';
import type { KtxSqlQueryExecutorPort } from './context/connections/query-executor.js';
import { KtxIngestEmbeddingPortAdapter } from './context/llm/embedding-port.js';
import type { KtxEmbeddingPort } from './context/core/embedding.js';
import type { KtxSemanticLayerComputePort } from './context/daemon/semantic-layer-compute.js';
import { loadKtxProject, type KtxLocalProject } from './context/project/project.js';
import { compileLocalSlQuery } from './context/sl/local-query.js';
import { listLocalSlSources, readLocalSlSource, searchLocalSlSources as defaultSearchLocalSlSources, validateLocalSlSource, type LocalSlSourceSearchResult, type LocalSlSourceSummary } from './context/sl/local-sl.js';
import type { SemanticLayerQueryInput } from './context/sl/types.js';
import {
resolveProjectEmbeddingProvider,
type EmbeddingProviderResolution,
} from './embedding-resolution.js';
import type { PrintListColumn } from './io/print-list.js';
import {
createManagedPythonSemanticLayerComputePort,
type KtxManagedPythonInstallPolicy,
} from './managed-python-command.js';
import { profileMark } from './startup-profile.js';
profileMark('module:sl');
type SlQueryFormat = 'json' | 'sql';
export type KtxSlArgs =
| {
command: 'list';
projectDir: string;
connectionId?: string;
output?: string;
json?: boolean;
cliVersion: string;
}
| {
command: 'search';
projectDir: string;
connectionId?: string;
query: string;
limit?: number;
output?: string;
json?: boolean;
cliVersion: string;
}
| { command: 'validate'; projectDir: string; connectionId: string; sourceName: string }
| {
command: 'query';
projectDir: string;
connectionId?: string;
query?: SemanticLayerQueryInput;
queryFile?: string;
format: SlQueryFormat;
execute: boolean;
maxRows?: number;
cliVersion: string;
runtimeInstallPolicy: KtxManagedPythonInstallPolicy;
};
interface KtxSlIo {
stdout: { write(chunk: string): void };
stderr: { write(chunk: string): void };
}
interface KtxSlDeps {
loadProject?: typeof loadKtxProject;
resolveEmbeddingProvider?: typeof resolveProjectEmbeddingProvider;
searchLocalSlSources?: typeof defaultSearchLocalSlSources;
createSemanticLayerCompute?: () => KtxSemanticLayerComputePort;
createManagedSemanticLayerCompute?: (options: {
cliVersion: string;
installPolicy: KtxManagedPythonInstallPolicy;
io: KtxSlIo;
}) => Promise<KtxSemanticLayerComputePort>;
createQueryExecutor?: () => KtxSqlQueryExecutorPort;
}
function resolutionToEmbeddingPort(resolution: EmbeddingProviderResolution): KtxEmbeddingPort | null {
if (
resolution.kind === 'configured' ||
resolution.kind === 'managed-running' ||
resolution.kind === 'managed-started'
) {
return new KtxIngestEmbeddingPortAdapter(resolution.provider);
}
return null;
}
async function printSlSources(input: {
rows: ReadonlyArray<LocalSlSourceSummary>;
command: 'sl list';
output?: string;
json?: boolean;
io: KtxSlIo;
emptyMessage: string;
emptyHint?: string;
}): Promise<void>;
async function printSlSources(input: {
rows: ReadonlyArray<LocalSlSourceSearchResult>;
command: 'sl search';
output?: string;
json?: boolean;
io: KtxSlIo;
emptyMessage: string;
emptyHint?: string;
}): Promise<void>;
async function printSlSources(input: {
rows: ReadonlyArray<LocalSlSourceSummary | LocalSlSourceSearchResult>;
command: 'sl list' | 'sl search';
output?: string;
json?: boolean;
io: KtxSlIo;
emptyMessage: string;
emptyHint?: string;
}): Promise<void> {
const { resolveOutputMode } = await import('./io/mode.js');
const { createRankBadgeFormatter, printList } = await import('./io/print-list.js');
const mode = resolveOutputMode({ explicit: input.output, json: input.json, io: input.io });
if (input.command === 'sl search') {
const searchColumns: ReadonlyArray<PrintListColumn<LocalSlSourceSearchResult>> = [
{
key: 'score',
label: 'SCORE',
plain: 'score=',
role: 'badge',
prettyFormat: createRankBadgeFormatter(input.rows as ReadonlyArray<LocalSlSourceSearchResult>),
dim: true,
},
{ key: 'connectionId', label: 'CONNECTION', plain: '' },
{ key: 'name', label: 'NAME', plain: '' },
{ key: 'columnCount', label: 'COLS', plain: 'columns=', dim: true },
{ key: 'measureCount', label: 'MEASURES', plain: 'measures=', dim: true },
{ key: 'joinCount', label: 'JOINS', plain: 'joins=', dim: true },
{ key: 'description', label: 'DESCRIPTION', plain: false, optional: true, dim: true },
];
printList<LocalSlSourceSearchResult>({
rows: input.rows as ReadonlyArray<LocalSlSourceSearchResult>,
columns: searchColumns,
groupBy: 'connectionId',
emptyMessage: input.emptyMessage,
emptyHint: input.emptyHint,
unit: 'source',
command: input.command,
mode,
io: input.io,
});
return;
}
const listColumns: ReadonlyArray<PrintListColumn<LocalSlSourceSummary>> = [
{ key: 'connectionId', label: 'CONNECTION', plain: '' },
{ key: 'name', label: 'NAME', plain: '' },
{ key: 'columnCount', label: 'COLS', plain: 'columns=', dim: true },
{ key: 'measureCount', label: 'MEASURES', plain: 'measures=', dim: true },
{ key: 'joinCount', label: 'JOINS', plain: 'joins=', dim: true },
{ key: 'description', label: 'DESCRIPTION', plain: false, optional: true, dim: true },
];
printList<LocalSlSourceSummary>({
rows: input.rows as ReadonlyArray<LocalSlSourceSummary>,
columns: listColumns,
groupBy: 'connectionId',
emptyMessage: input.emptyMessage,
emptyHint: input.emptyHint,
unit: 'source',
command: input.command,
mode,
io: input.io,
});
}
async function readSlQueryFile(path: string): Promise<SemanticLayerQueryInput> {
const parsed = JSON.parse(await readFile(path, 'utf-8')) as unknown;
if (!parsed || typeof parsed !== 'object' || Array.isArray(parsed)) {
throw new Error(`${path} must contain a JSON object.`);
}
return parsed as SemanticLayerQueryInput;
}
export async function runKtxSl(args: KtxSlArgs, io: KtxSlIo = process, deps: KtxSlDeps = {}): Promise<number> {
try {
const project = await (deps.loadProject ?? loadKtxProject)({ projectDir: args.projectDir });
if (args.command === 'list') {
const sources = await listLocalSlSources(project, { connectionId: args.connectionId });
await printSlSources({
rows: sources,
emptyMessage: `No semantic-layer sources found in ${project.projectDir}`,
command: 'sl list',
output: args.output,
json: args.json,
io,
});
return 0;
}
if (args.command === 'search') {
const resolver = deps.resolveEmbeddingProvider ?? resolveProjectEmbeddingProvider;
const resolution = await resolver(project, {
mode: 'use-if-running',
cliVersion: args.cliVersion,
io,
});
const embeddingService = resolutionToEmbeddingPort(resolution);
const search = deps.searchLocalSlSources ?? defaultSearchLocalSlSources;
const sources = await search(project, {
connectionId: args.connectionId,
query: args.query,
embeddingService,
limit: args.limit,
});
if (sources.length === 0 && resolution.kind === 'managed-unavailable' && !args.json) {
const { SYMBOLS } = await import('./io/symbols.js');
io.stderr.write(`embeddings: unavailable ${SYMBOLS.emDash} ${resolution.reason}\n`);
}
await printSlSources({
rows: sources,
emptyMessage: `No semantic-layer sources matched "${args.query}" in ${project.projectDir}`,
emptyHint: 'Run `ktx sl` to inspect available sources.',
command: 'sl search',
output: args.output,
json: args.json,
io,
});
return 0;
}
if (args.command === 'validate') {
const source = await readLocalSlSource(project, {
connectionId: args.connectionId,
sourceName: args.sourceName,
});
if (!source) {
throw new Error(`Semantic-layer source "${args.connectionId}/${args.sourceName}" was not found`);
}
const result = await validateLocalSlSource(source.yaml, {
project,
connectionId: args.connectionId,
sourceName: args.sourceName,
});
if (!result.valid) {
for (const error of result.errors) {
io.stderr.write(`${error}\n`);
}
return 1;
}
io.stdout.write(`Valid semantic-layer source: ${args.connectionId}/${args.sourceName}\n`);
return 0;
}
if (args.command === 'query') {
const query = args.query ?? (args.queryFile ? await readSlQueryFile(args.queryFile) : undefined);
if (!query) {
throw new Error('sl query requires query input from --query-file or at least one --measure');
}
const compute = deps.createSemanticLayerCompute
? deps.createSemanticLayerCompute()
: await (deps.createManagedSemanticLayerCompute ?? createManagedPythonSemanticLayerComputePort)({
cliVersion: args.cliVersion,
installPolicy: args.runtimeInstallPolicy,
io,
});
const queryExecutor = args.execute ? (deps.createQueryExecutor ?? createDefaultLocalQueryExecutor)() : undefined;
const result = await compileLocalSlQuery(project as KtxLocalProject, {
connectionId: args.connectionId,
query,
compute,
execute: args.execute,
maxRows: args.maxRows,
queryExecutor,
});
if (args.format === 'sql') {
io.stdout.write(`${result.sql}\n`);
return 0;
}
io.stdout.write(`${JSON.stringify(result, null, 2)}\n`);
return 0;
}
const _exhaustive: never = args;
throw new Error(`Unsupported sl command: ${JSON.stringify(_exhaustive)}`);
} catch (error) {
io.stderr.write(`${error instanceof Error ? error.message : String(error)}\n`);
return 1;
}
}