ktx/packages/cli/src/sl.ts
Andrey Avtomonov 9dad936ac7
feat: npm-managed Python runtime for @kaelio/ktx (#7)
* docs: add npm managed python runtime design

* build: add bundled python runtime wheel builder

* build: make local embedding dependencies optional

* build: bundle python runtime wheel in cli artifacts

* build: track bundled python runtime release artifact

* test: verify bundled python runtime wheel

* docs: add plan for bundled python runtime wheel

* test: cover managed python runtime lifecycle

* feat: add managed python runtime installer

* feat: add runtime command runner

* feat: expose runtime management commands

* test: verify managed python runtime commands

* docs: add plan for managed python runtime installer

* feat: add managed python command helper

* feat: use managed runtime for sl query compute

* feat: route sl query managed runtime policy

* docs: add plan for managed runtime sl query integration

* feat: add managed runtime daemon metadata

* feat: manage python daemon lifecycle

* feat: add runtime daemon start stop commands

* fix: verify managed runtime daemon lifecycle

* docs: add plan for managed runtime daemon lifecycle

* feat: add managed local embeddings config marker

* feat: add managed local embeddings daemon helper

* feat: use managed runtime for local embedding setup

* feat: pass managed runtime policy through setup

* docs: add plan for managed local embeddings runtime

* feat: read CLI package metadata dynamically

* feat: assemble public kaelio ktx npm package

* feat: release one public kaelio ktx npm artifact

* test: cover public kaelio ktx package invocations

* chore: verify public kaelio ktx package artifacts

* docs: add plan for public kaelio ktx npm package

* test: verify managed runtime in public package smoke

* test: finalize managed runtime release smoke

* docs: add plan for managed runtime release smoke

* test: specify local embeddings release smoke

* feat: add local embeddings runtime smoke

* chore: register local embeddings smoke

* fix: verify local embeddings smoke

* fix: restore artifact smoke python env helper

* docs: add plan for managed local embeddings release smoke

* refactor: share managed runtime install policy parsing

* feat: use managed runtime for agent semantic queries

* feat: use managed runtime for MCP semantic compute

* docs: add plan for managed agent and MCP semantic runtime

* feat(cli): add managed daemon HTTP helpers

* feat(cli): route local adapters through managed daemon

* feat(cli): use managed daemon for ingest helpers

* feat(cli): pass managed daemon options to scan

* feat(context): pass MCP ingest pull config options

* feat(cli): pass managed daemon options to serve ingest

* test: verify managed local ingest daemon runtime

* docs: add plan for managed local ingest daemon runtime

* docs: align managed runtime examples

* docs: add plan for managed runtime docs cleanup

* test: cover published package runtime smoke commands

* test: validate published package smoke outputs

* docs: add plan for published package runtime smoke

* build: stamp public npm package version

* release: add npm public release policy

* release: add guarded npm publish script

* release: document public npm release handoff

* docs: add plan for public npm release handoff

* test: cover managed runtime prune in package smoke

* docs: document managed runtime prune

* docs: add plan for managed runtime prune smoke and docs

* chore: encode uv runtime prerequisite policy

* fix: clarify missing uv runtime error

* docs: document uv runtime prerequisite

* docs: add plan for uv runtime prerequisite contract

* refactor: limit release artifacts to public package runtime

* chore: align release policy with bundled runtime wheel

* docs: describe single public runtime artifact surface

* test: verify single public runtime artifact contract

* docs: add plan for single public runtime artifact cleanup

* fix: align local embeddings smoke with public version

* docs: add plan for local embeddings smoke public version

* release: soft-launch as @kaelio/ktx@0.1.0-rc.0 on next tag

Publish target moves to the pre-release version 0.1.0-rc.0 under the next
dist-tag so npm install @kaelio/ktx (which resolves to latest) does not
pick up the soft-launch build. Users opt in via @kaelio/ktx@next.

* Fix release script boundary checks

* Remove PostHog from public package bundle
2026-05-11 15:50:34 +02:00

146 lines
5.3 KiB
TypeScript

import { createDefaultLocalQueryExecutor, type KtxSqlQueryExecutorPort } from '@ktx/context/connections';
import type { KtxSemanticLayerComputePort } from '@ktx/context/daemon';
import { loadKtxProject, type KtxLocalProject } from '@ktx/context/project';
import {
compileLocalSlQuery,
listLocalSlSources,
readLocalSlSource,
validateLocalSlSource,
writeLocalSlSource,
type SemanticLayerQueryInput,
} from '@ktx/context/sl';
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 }
| { command: 'read'; projectDir: string; connectionId: string; sourceName: string }
| { 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;
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;
createSemanticLayerCompute?: () => KtxSemanticLayerComputePort;
createManagedSemanticLayerCompute?: (options: {
cliVersion: string;
installPolicy: KtxManagedPythonInstallPolicy;
io: KtxSlIo;
}) => Promise<KtxSemanticLayerComputePort>;
createQueryExecutor?: () => KtxSqlQueryExecutorPort;
}
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 { 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}/${args.sourceName}" was not found`);
}
io.stdout.write(source.yaml);
return 0;
}
if (args.command === 'validate') {
const source = await readLocalSlSource(project, {
connectionId: args.connectionId,
sourceName: args.sourceName,
});
if (!source) {
throw new Error(`Semantic-layer source "${args.connectionId}/${args.sourceName}" was not found`);
}
const result = await validateLocalSlSource(source.yaml);
if (!result.valid) {
for (const error of result.errors) {
io.stderr.write(`${error}\n`);
}
return 1;
}
io.stdout.write(`Valid semantic-layer source: ${args.connectionId}/${args.sourceName}\n`);
return 0;
}
if (args.command === 'query') {
const 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: args.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;
}
}