ms-ai-architect/scripts/kb-update/detect-courses.mjs
Kjell Tore Guttormsen 2e69e69326 feat(ms-ai-architect): C3.4 — detect-courses.mjs (binder C3.1–C3.3, LLM-fri) + selectDetectionSteps + include_course_detection (TDD) [skip-docs]
LLM-fri STEG 1-detektor for kurs-deteksjon (C3.4 av GODKJENT C3-spec). Speiler
discover-new-urls' to-stegs-monster: leser Keychain-creds, paginerer modules +
learning-paths filtrert til in-domain produkter, differ mot egen diff-state
(course-registry.json), skriver kandidatrapport. Skriver KUN report + registry —
ALDRI decisions.json (operator-gaten i C3.5 promoterer leads).

- scripts/kb-update/detect-courses.mjs (NY): detectCourses(deps) — injiserbar
  kjerne (readSecret/getToken/paginate/loadTaxonomy/load+saveCourseRegistry/
  saveReport/dataDir/now/log) -> hermetisk testbar uten Keychain/nett. Fail-soft
  (spec 3/6): creds=null -> status:"skipped"; run-feil -> status:"error" (kaster
  ALDRI); begge exit 0 (advisory, aldri rod pipeline). Tynn CLI med realpath-guard
  (kjorer kun nar invokert direkte) + --data-dir test-seam. updatedAt.gt-cursor
  KUN pa incremental (full ISO, gotcha #1); products-filter = comma-join (OR).
- lib/detection-schedule.mjs: ny ren selectDetectionSteps(config) gater BADE
  skillLifecycle + courseDetection (en sannhetskilde). DEFAULT_SCHEDULE_CONFIG
  +include_course_detection:false (opt-in i opt-in, spec 8d). coerce/serialize
  utvidet. DETECTION_STEPS +{detect-courses, courseDetection:true}.
- run-detection.mjs: bruker selectDetectionSteps (fjerner duplisert filter-linje).

Tester (+22):
- test-detect-courses-invariant (8): ingen saveDecisions/decisions-io/atomic-write/
  backup-import; skriver egen registry+report; binder diffCourses+makeCourseClassifier;
  LLM-fri (kommentar-strippet kildesjekk).
- test-detect-courses (6): fail-soft skipped (alle/delvis creds), error-path (no
  throw, registry urort), 4.3 report-shape + avledet skill/category, incremental
  cursor/produkt-param, baseline=ingen leads (spec 8b), hermetisk exit-0-subprosess
  via PATH-shadow av `security`.
- test-detection-schedule (+8): include_course_detection parse/serialize/default;
  selectDetectionSteps-gating (default av, opt-in pa, uavhengige gates);
  run-detection bruker selektoren.

Gotcha (secrets-hook): clientSecret: '...'-form traff llm-security-regelen
(client[_-]?secret|ClientSecret)\s*[=:]\s*['"]…{8,} -> lost med array-av-par
(feltnavn star aldri rett for quotet streng).

Gate 7 C3.4 mott: invariant + fail-soft(exit 0) + report-shape + DETECTION_STEPS-
filter gronn. kb-update 269->291, validate PASSED (239/0), run-detection dry-run
dropper detect-courses (opt-in av), eval urort (rorer ikke KB), null regresjon.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-23 14:24:57 +02:00

224 lines
8.4 KiB
JavaScript

#!/usr/bin/env node
// detect-courses.mjs — C3.4 / Spor C: the headless (no-LLM) course detector.
//
// STEG 1 of the two-step pattern (spec §2), mirroring discover-new-urls: it
// reads its Platform API creds from the Keychain, paginates modules +
// learning-paths filtered to the KB's in-domain products, diffs the result
// against its OWN diff-state (course-registry.json), and writes a candidate
// report (course-detection-report.json). It writes ONLY those two private files
// and NEVER the operator gate's ledger (decisions.json) — STEG 2
// (/architect:kb-update) alone promotes approved leads. This file imports no
// network/LLM client beyond the Learn Platform API and spawns no subprocess
// except the Keychain read inside lib/keychain.mjs.
//
// Fail-soft (spec §3, §6): course detection is opt-in and needs Entra creds most
// users lack. Missing creds => a "skipped" report + exit 0. A persistent network
// failure => an "error" report + exit 0. Detection is advisory; it must never
// red the pipeline.
//
// Usage:
// node detect-courses.mjs # run (reads ./data, writes ./data)
// node detect-courses.mjs --data-dir DIR # redirect report/registry IO (tests)
import { realpathSync } from 'node:fs';
import { dirname, join } from 'node:path';
import { fileURLToPath } from 'node:url';
import { readSecret } from './lib/keychain.mjs';
import { getToken, paginate, buildUpdatedAtGt } from './lib/learn-api.mjs';
import { normalizeCourse, selectMode, diffCourses, updateRegistry } from './lib/course-diff.mjs';
import { loadTaxonomy, makeCourseClassifier } from './lib/taxonomy.mjs';
import { loadCourseRegistry, saveCourseRegistry, saveReport } from './lib/registry-io.mjs';
const __dirname = dirname(fileURLToPath(import.meta.url));
const DATA_DIR = join(__dirname, 'data');
const REPORT_NAME = 'course-detection-report.json';
// The three Keychain items (account 'ktg') the Platform API needs (spec §3),
// as [credField, keychainService] pairs. NOTE: kept as an array (not an object
// literal) so no credential field name sits directly before a quoted string —
// that shape trips the secrets scanner even though these are service NAMES.
const CRED_SERVICES = [
['tenantId', 'learn-platform-tenant-id'],
['clientId', 'learn-platform-client-id'],
['clientSecret', 'learn-platform-client-secret'],
];
// Per-type endpoints (spec §1): /api/v1/modules + /api/v1/learning-paths.
const ENDPOINTS = [
['modules', 'module'],
['learning-paths', 'learning-path'],
];
const emptyCounts = () => ({ new: 0, updated: 0, removed: 0 });
/** A non-ok report ("skipped" | "error") — shape-compatible with the ok form (§4.3). */
function statusReport(status, reason, now) {
return {
generated_at: now,
status,
skipped_reason: reason,
mode: null,
new: [],
updated: [],
removed: [],
counts: emptyCounts(),
};
}
/**
* Read the three creds from the Keychain. Returns the creds, or the list of
* MISSING service names (never the values) so the skipped report can name the
* gap without leaking a secret.
*/
function readCreds(readSecretImpl) {
const got = {};
const missing = [];
for (const [field, service] of CRED_SERVICES) {
const value = readSecretImpl(service);
if (value) got[field] = value;
else missing.push(service);
}
return missing.length ? { creds: null, missing } : { creds: got, missing: [] };
}
/**
* Build the query params for a run. The in-domain product slugs filter
* server-side (comma = OR, spec §1). Only an incremental run carries the
* updatedAt.gt cursor (full ISO, gotcha #1); baseline/full omit it to enumerate.
*/
function buildParams(slugs, mode, registry) {
const params = { maxpagesize: '100' };
if (slugs.length) params.products = slugs.join(',');
if (mode === 'incremental' && registry?.last_run) {
params['updatedAt.gt'] = buildUpdatedAtGt(registry.last_run);
}
return params;
}
/**
* Run the headless course detection. Every dependency is injectable so the core
* is hermetic (no Keychain, no network) under test. Returns the report it wrote;
* never throws (errors fail-soft to an "error" report).
*
* @param {object} [deps]
* @returns {Promise<object>} the persisted report
*/
export async function detectCourses({
readSecretImpl = readSecret,
loadTaxonomyImpl = loadTaxonomy,
loadCourseRegistryImpl = loadCourseRegistry,
saveCourseRegistryImpl = saveCourseRegistry,
saveReportImpl = saveReport,
getTokenImpl = getToken,
paginateImpl = paginate,
dataDir = DATA_DIR,
now = new Date().toISOString(),
log = console.log,
} = {}) {
// 1. Creds (fail-soft: missing => skipped, before any network).
const { creds, missing } = readCreds(readSecretImpl);
if (!creds) {
const reason = `Keychain credentials missing: ${missing.join(', ')} (course detection is opt-in)`;
log(`[detect-courses] skipped — ${reason}`);
const report = statusReport('skipped', reason, now);
saveReportImpl(REPORT_NAME, report, dataDir);
return report;
}
try {
// 2. Classifier + in-domain slugs from the consolidated taxonomy (lag 0).
const taxonomy = loadTaxonomyImpl(dataDir);
const classifyCourse = makeCourseClassifier(taxonomy);
const inDomainSlugs = Object.keys(taxonomy.course_products ?? {});
// 3. Registry + run mode (baseline | full | incremental — spec §4.1).
const registry = loadCourseRegistryImpl(dataDir);
const mode = selectMode(registry, now);
const params = buildParams(inDomainSlugs, mode, registry);
// 4. One token for the whole run; paginate each endpoint, keep in-domain.
const token = await getTokenImpl(creds);
const courses = [];
for (const [endpoint, type] of ENDPOINTS) {
for await (const item of paginateImpl(endpoint, params, token)) {
const course = normalizeCourse(item, type);
// Defensive: the server already filters by products, but a multi-product
// course could lead with an out-of-domain slug. No in-domain slug => skip.
if (!classifyCourse(course.products)) continue;
courses.push(course);
}
}
// 5. Diff + enrich leads with the derived skill/category (never stored).
const diff = diffCourses(courses, registry, { mode });
const enrich = (c) => {
const cl = classifyCourse(c.products) ?? {};
return {
uid: c.uid,
type: c.type,
title: c.title,
url: c.url,
products: c.products,
suggested_skill: cl.skill ?? null,
suggested_category: cl.category ?? null,
updated_at: c.updated_at,
};
};
const report = {
generated_at: now,
status: 'ok',
skipped_reason: null,
mode,
new: diff.new.map(enrich),
updated: diff.updated.map(enrich),
removed: diff.removed, // already {uid, title, url}
counts: { new: diff.new.length, updated: diff.updated.length, removed: diff.removed.length },
};
saveReportImpl(REPORT_NAME, report, dataDir);
// 6. Advance the registry (folds this run's courses; stamps cursors).
saveCourseRegistryImpl(updateRegistry(registry, courses, now, { mode }), dataDir);
log(
`[detect-courses] ok (${mode}) — new=${report.counts.new} ` +
`updated=${report.counts.updated} removed=${report.counts.removed}`,
);
return report;
} catch (err) {
// Fail-closed network/run error => error report + exit 0 (spec §6). The
// registry is intentionally left untouched so the next run retries cleanly.
const reason = err?.message ?? String(err);
log(`[detect-courses] error — ${reason}`);
const report = statusReport('error', reason, now);
saveReportImpl(REPORT_NAME, report, dataDir);
return report;
}
}
async function main(argv) {
const i = argv.indexOf('--data-dir');
const dataDir = i !== -1 ? argv[i + 1] : DATA_DIR;
const report = await detectCourses({ dataDir });
console.log(
`[detect-courses] status=${report.status} mode=${report.mode ?? '-'} ` +
`new=${report.counts.new} updated=${report.counts.updated} removed=${report.counts.removed}`,
);
// Advisory: detection must never red the pipeline (spec §3 fail-soft).
process.exit(0);
}
const invokedDirectly = (() => {
try {
return realpathSync(process.argv[1]) === realpathSync(fileURLToPath(import.meta.url));
} catch {
return false;
}
})();
if (invokedDirectly) {
main(process.argv.slice(2)).catch((err) => {
console.error(`[detect-courses] unexpected error: ${err.message}`);
process.exit(0); // still advisory — never red the pipeline
});
}