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