feat(cli)!: remove ktx agent command (#58)

* feat(cli)!: remove ktx agent command

* test(context): update PGlite boundary guardrail
This commit is contained in:
Andrey Avtomonov 2026-05-13 13:01:56 +02:00 committed by GitHub
parent eaaabb361e
commit 721f1a998f
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41 changed files with 500 additions and 1895 deletions

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@ -1,14 +1,22 @@
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,
@ -20,15 +28,16 @@ profileMark('module:sl');
type SlQueryFormat = 'json' | 'sql';
export type KtxSlArgs =
| { command: 'list'; projectDir: string; connectionId?: string; output?: string; json?: boolean }
| { command: 'read'; projectDir: string; connectionId: string; sourceName: string }
| { 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;
query?: SemanticLayerQueryInput;
queryFile?: string;
format: SlQueryFormat;
execute: boolean;
maxRows?: number;
@ -43,6 +52,8 @@ interface KtxSlIo {
interface KtxSlDeps {
loadProject?: typeof loadKtxProject;
embeddingService?: KtxEmbeddingPort | null;
createEmbeddingProvider?: typeof createLocalKtxEmbeddingProviderFromConfig;
createSemanticLayerCompute?: () => KtxSemanticLayerComputePort;
createManagedSemanticLayerCompute?: (options: {
cliVersion: string;
@ -52,11 +63,35 @@ interface KtxSlDeps {
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(`${path} must contain a JSON object.`);
}
return parsed as SemanticLayerQueryInput;
}
export async function runKtxSl(args: KtxSlArgs, io: KtxSlIo = process, deps: KtxSlDeps = {}): Promise<number> {
try {
const project = await (deps.loadProject ?? loadKtxProject)({ projectDir: args.projectDir });
if (args.command === 'list') {
const sources = await listLocalSlSources(project, { connectionId: args.connectionId });
const sources = args.query
? await searchLocalSlSources(project, {
connectionId: args.connectionId,
query: args.query,
embeddingService: slSearchEmbeddingService(project, deps),
})
: await listLocalSlSources(project, { connectionId: args.connectionId });
const { resolveOutputMode } = await import('./io/mode.js');
const { printList } = await import('./io/print-list.js');
const mode = resolveOutputMode({ explicit: args.output, json: args.json, io });
@ -86,6 +121,14 @@ export async function runKtxSl(args: KtxSlArgs, io: KtxSlIo = process, deps: Ktx
if (!source) {
throw new Error(`Semantic-layer source "${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;
}
@ -108,6 +151,10 @@ export async function runKtxSl(args: KtxSlArgs, io: KtxSlIo = process, deps: Ktx
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)({
@ -118,7 +165,7 @@ export async function runKtxSl(args: KtxSlArgs, io: KtxSlIo = process, deps: Ktx
const queryExecutor = args.execute ? (deps.createQueryExecutor ?? createDefaultLocalQueryExecutor)() : undefined;
const result = await compileLocalSlQuery(project as KtxLocalProject, {
connectionId: args.connectionId,
query: args.query,
query,
compute,
execute: args.execute,
maxRows: args.maxRows,