ktx/packages/cli/src/sl.ts
Andrey Avtomonov 721f1a998f
feat(cli)!: remove ktx agent command (#58)
* feat(cli)!: remove ktx agent command

* test(context): update PGlite boundary guardrail
2026-05-13 13:01:56 +02:00

193 lines
7.1 KiB
TypeScript

import { readFile } from 'node:fs/promises';
import { createDefaultLocalQueryExecutor, type KtxSqlQueryExecutorPort } from '@ktx/context/connections';
import {
createLocalKtxEmbeddingProviderFromConfig,
KtxIngestEmbeddingPortAdapter,
type KtxEmbeddingPort,
} from '@ktx/context';
import type { KtxSemanticLayerComputePort } from '@ktx/context/daemon';
import { loadKtxProject, type KtxLocalProject } from '@ktx/context/project';
import {
compileLocalSlQuery,
listLocalSlSources,
readLocalSlSource,
searchLocalSlSources,
validateLocalSlSource,
writeLocalSlSource,
type SemanticLayerQueryInput,
} from '@ktx/context/sl';
import { writeJsonResult } 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; query?: string; output?: string; json?: boolean }
| { command: 'read'; projectDir: string; connectionId: string; sourceName: string; json?: boolean }
| { command: 'validate'; projectDir: string; connectionId: string; sourceName: string }
| { command: 'write'; projectDir: string; connectionId: string; sourceName: string; yaml: 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;
embeddingService?: KtxEmbeddingPort | null;
createEmbeddingProvider?: typeof createLocalKtxEmbeddingProviderFromConfig;
createSemanticLayerCompute?: () => KtxSemanticLayerComputePort;
createManagedSemanticLayerCompute?: (options: {
cliVersion: string;
installPolicy: KtxManagedPythonInstallPolicy;
io: KtxSlIo;
}) => Promise<KtxSemanticLayerComputePort>;
createQueryExecutor?: () => KtxSqlQueryExecutorPort;
}
function slSearchEmbeddingService(project: KtxLocalProject, deps: KtxSlDeps): KtxEmbeddingPort | null {
if ('embeddingService' in deps) {
return deps.embeddingService ?? null;
}
const provider = (deps.createEmbeddingProvider ?? createLocalKtxEmbeddingProviderFromConfig)(
project.config.ingest.embeddings,
);
return provider ? new KtxIngestEmbeddingPortAdapter(provider) : null;
}
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 = args.query
? await searchLocalSlSources(project, {
connectionId: args.connectionId,
query: args.query,
embeddingService: slSearchEmbeddingService(project, deps),
})
: await listLocalSlSources(project, { connectionId: args.connectionId });
const { resolveOutputMode } = await import('./io/mode.js');
const { printList } = await import('./io/print-list.js');
const mode = resolveOutputMode({ explicit: args.output, json: args.json, io });
printList({
rows: sources,
columns: [
{ 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 },
],
groupBy: 'connectionId',
emptyMessage: `No semantic-layer sources found in ${project.projectDir}`,
command: 'sl list',
mode,
io,
});
return 0;
}
if (args.command === 'read') {
const source = await readLocalSlSource(project, {
connectionId: args.connectionId,
sourceName: args.sourceName,
});
if (!source) {
throw new Error(`Semantic-layer source "${args.connectionId}/${args.sourceName}" was not found`);
}
if (args.json) {
writeJsonResult(io, {
kind: 'sl.source',
data: source,
meta: { command: 'sl read' },
});
return 0;
}
io.stdout.write(source.yaml);
return 0;
}
if (args.command === 'validate') {
const source = await readLocalSlSource(project, {
connectionId: args.connectionId,
sourceName: args.sourceName,
});
if (!source) {
throw new Error(`Semantic-layer source "${args.connectionId}/${args.sourceName}" was not found`);
}
const result = await validateLocalSlSource(source.yaml, { project, connectionId: args.connectionId });
if (!result.valid) {
for (const error of result.errors) {
io.stderr.write(`${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 write = await writeLocalSlSource(project, {
connectionId: args.connectionId,
sourceName: args.sourceName,
yaml: args.yaml,
});
io.stdout.write(`Wrote ${write.path}\n`);
return 0;
} catch (error) {
io.stderr.write(`${error instanceof Error ? error.message : String(error)}\n`);
return 1;
}
}