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fix/issue-
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5f34a6f825
| Author | SHA1 | Date | |
|---|---|---|---|
| 5f34a6f825 | |||
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9395ea11fe | ||
| e310b6d85b | |||
| 2b2921f6ed | |||
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2274de4de7 |
@@ -5,6 +5,7 @@ import { callLLM } from '../../lib/llm';
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import { EMIT_GRAPH_ACTIONS_TOOL } from '../../lib/llmTools';
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import { Network, Table2 } from 'lucide-react';
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import { useGraphData } from '../../hooks/useGraphData';
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import { filterAiActions } from '../../lib/graphGuard';
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import GraphControls from './graph/GraphControls';
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import NodeDetailPanel from './graph/NodeDetailPanel';
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import GraphTable from './graph/GraphTable';
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@@ -25,11 +26,21 @@ const SYSTEM_PROMPTS = {
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full: `You are a strict Data Quality AI maintaining a Knowledge Graph for Respellion.
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Evaluate the provided topics and relations and emit the actions to take via the emit_graph_actions tool.
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PROTECTED TOPICS — NEVER include these in merges (as deleteId) or in deletions:
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• Topics with learning_relevance="exclude" are REFERENCE MATERIAL, kept on purpose
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so R42 can still answer questions about them. They are intentionally outside
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the theme-learning flow. Do not propose deleting or merging them away.
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• Topics with relevance_locked=true are admin-pinned. Do not change their
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learning_relevance and do not delete or merge them.
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These topics may appear as the keepId in a merge (others fold into them), and
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may appear as source/target of newRelations, but their own row must survive.
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Rules:
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1. Identify topics that mean exactly the same thing. Choose one to keep, one to delete (merges).
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2. Identify topics that are too vague, irrelevant, or malformed (deletions).
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3. Identify missing logical relations (depends_on, part_of, related_to, executed_by) between conceptually linked topics (newRelations).
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4. Evaluate learning_relevance. Mark purely operational topics (printer guides, etc.) as "exclude"; low-priority as "peripheral" (relevanceUpdates).
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Skip topics where relevance_locked=true — omit them from relevanceUpdates entirely.
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Do not return the entire graph — only the actions to take.`,
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@@ -73,6 +84,7 @@ const KnowledgeGraph = () => {
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const [showExcludeNodes, setShowExcludeNodes] = useState(false);
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const [isAnalyzing, setIsAnalyzing] = useState(false);
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const [analyzeError, setAnalyzeError] = useState(null);
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const [analyzeNotice, setAnalyzeNotice] = useState(null); // info-level message from last analyze
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const [isRestoring, setIsRestoring] = useState(false);
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const [viewMode, setViewMode] = useState('graph'); // 'graph' | 'table'
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@@ -305,6 +317,7 @@ const KnowledgeGraph = () => {
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setIsAnalyzing(true);
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setAnalyzeError(null);
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setAnalyzeNotice(null);
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try {
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const [currentTopics, currentRelations] = await Promise.all([
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@@ -314,13 +327,16 @@ const KnowledgeGraph = () => {
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const tier = scope === 'full' ? 'reasoning' : 'standard';
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// For relevance scope, include relevance_locked so the model can skip those.
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// For full + relevance scopes the model needs to see relevance_locked so
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// it can honor the "do not touch protected topics" rule. (relations-scope
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// only emits newRelations, so the flag is irrelevant there.)
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const sendLocked = scope === 'full' || scope === 'relevance';
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const compactTopics = currentTopics.map(t => ({
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id: t.id,
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label: t.label,
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type: t.type,
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learning_relevance: t.learning_relevance,
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...(scope === 'relevance' && t.relevance_locked ? { relevance_locked: true } : {}),
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...(sendLocked && t.relevance_locked ? { relevance_locked: true } : {}),
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}));
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const compactRelations = currentRelations.map(({ source, target, type }) => ({
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source, target, type,
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@@ -336,8 +352,26 @@ const KnowledgeGraph = () => {
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maxTokens: scope === 'full' ? 4096 : 2048,
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});
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const actions = llmResult.toolUses[0]?.input;
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if (!actions) throw new Error('Graph analysis did not emit a tool result.');
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const rawActions = llmResult.toolUses[0]?.input;
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if (!rawActions) throw new Error('Graph analysis did not emit a tool result.');
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// ── Safety guard ─────────────────────────────────────────────────────
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// Strip merges/deletions that target excluded or locked topics. Excluded
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// topics are reference material kept on purpose for R42; locked topics
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// are admin-pinned. The AI may suggest removing them anyway — we drop
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// those suggestions before they reach bulkSave.
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const { filtered: actions, dropped } = filterAiActions(currentTopics, rawActions);
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const droppedCount = dropped.deletions.length + dropped.merges.length;
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if (droppedCount > 0) {
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// Visible feedback so the admin knows the AI tried to touch protected rows.
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console.warn(
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`[graph guard] Blocked ${droppedCount} destructive action(s) on protected topics`,
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dropped,
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);
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setAnalyzeNotice(
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`Guard blocked ${droppedCount} destructive AI action${droppedCount === 1 ? '' : 's'} on excluded or locked topics. ${dropped.deletions.length} deletion${dropped.deletions.length === 1 ? '' : 's'}, ${dropped.merges.length} merge${dropped.merges.length === 1 ? '' : 's'}.`,
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);
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}
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let updatedTopics = [...currentTopics];
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let updatedRelations = [...currentRelations];
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@@ -460,9 +494,11 @@ const KnowledgeGraph = () => {
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<GraphControls
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showExcludeNodes={showExcludeNodes}
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onShowExcludeChange={setShowExcludeNodes}
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excludedCount={topics.filter(t => t.learning_relevance === 'exclude').length}
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onAnalyze={analyzeGraph}
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isAnalyzing={isAnalyzing}
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analyzeError={analyzeError}
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analyzeNotice={analyzeNotice}
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disabled={topics.length === 0}
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onApplied={reload}
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snapshotMeta={snapshotMeta}
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@@ -1,5 +1,5 @@
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import { useState } from 'react';
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import { RotateCcw, RefreshCw, AlertCircle, ChevronDown } from 'lucide-react';
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import { RotateCcw, RefreshCw, AlertCircle, ChevronDown, ShieldCheck } from 'lucide-react';
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import Button from '../../ui/Button';
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import SuggestionsQueue from '../SuggestionsQueue';
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@@ -24,9 +24,11 @@ const SCOPE_OPTIONS = [
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export default function GraphControls({
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showExcludeNodes,
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onShowExcludeChange,
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excludedCount = 0,
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onAnalyze,
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isAnalyzing,
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analyzeError,
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analyzeNotice,
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disabled,
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onApplied,
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snapshotMeta,
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@@ -50,7 +52,14 @@ export default function GraphControls({
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onChange={e => onShowExcludeChange(e.target.checked)}
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className="rounded bg-bg-warm border-transparent focus:ring-0 text-teal"
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/>
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Show Excluded Nodes (Reference Material)
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<span>
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Show Excluded Nodes (Reference Material)
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{excludedCount > 0 && (
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<span className="ml-1 text-xs text-fg-muted/80">
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· {excludedCount} {showExcludeNodes ? 'visible' : 'hidden'}
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</span>
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)}
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</span>
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</label>
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<div className="space-y-2">
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@@ -106,6 +115,16 @@ export default function GraphControls({
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{analyzeError}
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</p>
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)}
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{analyzeNotice && (
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<p
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className="text-xs text-teal flex items-start gap-1 bg-teal/5 border border-teal/20 rounded-[var(--r-sm)] p-2"
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title="The AI suggested removing excluded/locked topics. Those suggestions were dropped client-side before saving."
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>
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<ShieldCheck size={14} className="shrink-0 mt-0.5" />
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{analyzeNotice}
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</p>
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)}
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</div>
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<SuggestionsQueue onApplied={onApplied} />
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97
src/lib/__tests__/curriculumService.test.js
Normal file
97
src/lib/__tests__/curriculumService.test.js
Normal file
@@ -0,0 +1,97 @@
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import { describe, expect, it } from 'vitest';
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import { validateSchedule } from '../curriculumService';
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const week = (n, theme, topicIds, duration = 30) => ({
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week_number: n,
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theme,
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topic_ids: topicIds,
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estimated_duration: duration,
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week_rationale: 'r',
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});
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const makeTopic = (id, theme) => ({
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id,
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theme,
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type: 'concept',
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learning_relevance: 'include',
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});
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const buildScheduleFromTopics = (topics) => {
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const ids = topics.map(t => t.id);
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return Array.from({ length: 26 }, (_, i) => {
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const chunk = ids.slice(i * 2, i * 2 + 2);
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return week(i + 1, topics[i * 2]?.theme || 'General', chunk.length ? chunk : [ids[0]]);
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});
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};
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describe('validateSchedule', () => {
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it('does not warn about missing themes when merging was required (themes_kb > 26)', () => {
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const topics = [];
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for (let i = 0; i < 60; i++) topics.push(makeTopic(`t${i}`, `Theme ${i % 30}`));
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const schedule = buildScheduleFromTopics(topics);
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const result = validateSchedule(schedule, topics);
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expect(result.valid).toBe(true);
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const themeWarning = result.warnings.find(w => w.includes('not scheduled'));
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expect(themeWarning).toBeUndefined();
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});
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it('warns about missing themes only when merging was not required', () => {
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const topics = [];
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for (let i = 0; i < 10; i++) topics.push(makeTopic(`t${i}`, `Theme ${i}`));
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const schedule = Array.from({ length: 26 }, (_, i) =>
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week(i + 1, 'Theme 0', ['t0'])
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);
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const result = validateSchedule(schedule, topics);
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const themeWarning = result.warnings.find(w => w.includes('not scheduled'));
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expect(themeWarning).toBeDefined();
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expect(themeWarning).toMatch(/9 theme/);
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});
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it('warns when learning topics are absent from every week (real coverage gap)', () => {
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const topics = [
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makeTopic('t1', 'A'),
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makeTopic('t2', 'A'),
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makeTopic('t3', 'B'),
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];
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const schedule = Array.from({ length: 26 }, (_, i) =>
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week(i + 1, 'A', ['t1'])
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);
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const result = validateSchedule(schedule, topics);
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const coverageWarning = result.warnings.find(w => w.includes('not covered'));
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expect(coverageWarning).toBeDefined();
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expect(coverageWarning).toMatch(/2 learning topic/);
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});
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it('ignores topics with type=fact or learning_relevance=exclude in coverage', () => {
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const topics = [
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makeTopic('t1', 'A'),
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{ ...makeTopic('t2', 'A'), type: 'fact' },
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{ ...makeTopic('t3', 'B'), learning_relevance: 'exclude' },
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];
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const schedule = Array.from({ length: 26 }, (_, i) =>
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week(i + 1, 'A', ['t1'])
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);
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const result = validateSchedule(schedule, topics);
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expect(result.warnings.find(w => w.includes('not covered'))).toBeUndefined();
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});
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it('flags hard errors: wrong week count, bad duration, unknown topic_id', () => {
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const topics = [makeTopic('t1', 'A')];
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const schedule = [week(1, 'A', ['t1'])];
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const result = validateSchedule(schedule, topics);
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expect(result.valid).toBe(false);
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expect(result.errors[0]).toMatch(/exactly 26 weeks/);
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const fullSchedule = Array.from({ length: 26 }, (_, i) => week(i + 1, 'A', ['t1']));
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fullSchedule[2].estimated_duration = 5;
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fullSchedule[5].topic_ids = ['missing-id'];
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const result2 = validateSchedule(fullSchedule, topics);
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expect(result2.valid).toBe(false);
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expect(result2.errors.some(e => e.includes('out-of-range duration'))).toBe(true);
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expect(result2.errors.some(e => e.includes('unknown topic_id'))).toBe(true);
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});
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});
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125
src/lib/__tests__/graphGuard.test.js
Normal file
125
src/lib/__tests__/graphGuard.test.js
Normal file
@@ -0,0 +1,125 @@
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import { describe, expect, it } from 'vitest';
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import { isProtectedTopic, filterAiActions } from '../graphGuard';
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const topic = (id, extras = {}) => ({
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id,
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label: `Topic ${id}`,
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type: 'concept',
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learning_relevance: 'standard',
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relevance_locked: false,
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...extras,
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});
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describe('isProtectedTopic', () => {
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it('flags excluded topics', () => {
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expect(isProtectedTopic(topic('a', { learning_relevance: 'exclude' }))).toBe(true);
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});
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it('flags locked topics', () => {
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expect(isProtectedTopic(topic('a', { relevance_locked: true }))).toBe(true);
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});
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it('flags topics that are both excluded and locked', () => {
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expect(
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isProtectedTopic(topic('a', { learning_relevance: 'exclude', relevance_locked: true })),
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).toBe(true);
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});
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it('does not flag standard / core / peripheral topics', () => {
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expect(isProtectedTopic(topic('a', { learning_relevance: 'core' }))).toBe(false);
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expect(isProtectedTopic(topic('a', { learning_relevance: 'standard' }))).toBe(false);
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expect(isProtectedTopic(topic('a', { learning_relevance: 'peripheral' }))).toBe(false);
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});
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it('treats null/undefined as not protected', () => {
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expect(isProtectedTopic(null)).toBe(false);
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expect(isProtectedTopic(undefined)).toBe(false);
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});
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});
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describe('filterAiActions', () => {
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const topics = [
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topic('safe'),
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topic('excluded', { learning_relevance: 'exclude' }),
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topic('locked', { relevance_locked: true }),
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topic('both', { learning_relevance: 'exclude', relevance_locked: true }),
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topic('other'),
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];
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it('drops deletions that target excluded topics', () => {
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const { filtered, dropped } = filterAiActions(topics, {
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deletions: ['safe', 'excluded', 'other'],
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merges: [],
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});
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expect(filtered.deletions).toEqual(['safe', 'other']);
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expect(dropped.deletions).toEqual(['excluded']);
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});
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it('drops deletions that target locked topics', () => {
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const { filtered, dropped } = filterAiActions(topics, {
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deletions: ['locked'],
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merges: [],
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});
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expect(filtered.deletions).toEqual([]);
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expect(dropped.deletions).toEqual(['locked']);
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});
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it('drops merges whose deleteId is protected', () => {
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const merges = [
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{ keepId: 'safe', deleteId: 'other' }, // ok
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{ keepId: 'safe', deleteId: 'excluded' }, // drop — excluded
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{ keepId: 'other', deleteId: 'locked' }, // drop — locked
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{ keepId: 'safe', deleteId: 'both' }, // drop — both flags
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];
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const { filtered, dropped } = filterAiActions(topics, { merges, deletions: [] });
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expect(filtered.merges).toEqual([{ keepId: 'safe', deleteId: 'other' }]);
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expect(dropped.merges).toHaveLength(3);
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expect(dropped.merges.map(m => m.deleteId)).toEqual(['excluded', 'locked', 'both']);
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});
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it('keeps merges where a protected topic is the keepId (canonical survivor)', () => {
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const merges = [
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{ keepId: 'excluded', deleteId: 'safe' }, // ok — protected is survivor
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{ keepId: 'locked', deleteId: 'other' }, // ok — protected is survivor
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];
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const { filtered, dropped } = filterAiActions(topics, { merges, deletions: [] });
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expect(filtered.merges).toEqual(merges);
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expect(dropped.merges).toEqual([]);
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});
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it('passes through other action keys untouched', () => {
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const actions = {
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deletions: [],
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merges: [],
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newRelations: [{ source: 'a', target: 'b', type: 'related_to' }],
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relevanceUpdates: [{ id: 'safe', learning_relevance: 'peripheral' }],
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};
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const { filtered } = filterAiActions(topics, actions);
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expect(filtered.newRelations).toEqual(actions.newRelations);
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expect(filtered.relevanceUpdates).toEqual(actions.relevanceUpdates);
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});
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|
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it('tolerates missing actions keys', () => {
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const { filtered, dropped } = filterAiActions(topics, {});
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expect(filtered.deletions).toEqual([]);
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expect(filtered.merges).toEqual([]);
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expect(dropped.deletions).toEqual([]);
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expect(dropped.merges).toEqual([]);
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});
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it('tolerates null actions', () => {
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const { filtered, dropped } = filterAiActions(topics, null);
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expect(filtered.deletions).toEqual([]);
|
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expect(filtered.merges).toEqual([]);
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expect(dropped.deletions).toEqual([]);
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expect(dropped.merges).toEqual([]);
|
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});
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|
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it('drops references to unknown ids by treating them as not protected (delete pass-through)', () => {
|
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// If the AI hallucinates an id, the deletion is harmless downstream (no
|
||||
// topic by that id exists). We do NOT block on unknown ids — that would
|
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// mask real bugs. Verify pass-through behavior.
|
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const { filtered } = filterAiActions(topics, { deletions: ['ghost-id'], merges: [] });
|
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expect(filtered.deletions).toEqual(['ghost-id']);
|
||||
});
|
||||
});
|
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@@ -60,8 +60,16 @@ export function buildThemeTopicMap(topics) {
|
||||
|
||||
/**
|
||||
* Validates a 26-week schedule against the provided topics.
|
||||
* Checks for exactly 26 weeks, duration range, theme existence, and topic existence.
|
||||
* Returns { valid: boolean, errors: string[] }
|
||||
*
|
||||
* Warning policy:
|
||||
* - Theme names not appearing as a week label are NOT a warning when the KB
|
||||
* has more than 26 themes — the AI is required to merge in that case, and
|
||||
* topic_ids from the merged themes are carried through under the chosen
|
||||
* week label. We only warn about missing themes when merging wasn't needed.
|
||||
* - Real coverage is measured on TOPICS: a topic that exists in the KB but
|
||||
* is absent from every week's topic_ids is a genuine gap and gets a warning.
|
||||
*
|
||||
* Returns { valid: boolean, errors: string[], warnings: string[] }
|
||||
*/
|
||||
export function validateSchedule(schedule, topics) {
|
||||
const errors = []; // Hard errors — schedule is unusable
|
||||
@@ -71,10 +79,13 @@ export function validateSchedule(schedule, topics) {
|
||||
errors.push(`Schedule must contain exactly 26 weeks. Found ${schedule?.length || 0}.`);
|
||||
}
|
||||
|
||||
const validThemes = new Set(topics.filter(t => t.type !== 'fact' && t.learning_relevance !== 'exclude').map(t => t.theme || 'General'));
|
||||
const learningTopics = topics.filter(t => t.type !== 'fact' && t.learning_relevance !== 'exclude');
|
||||
const validThemes = new Set(learningTopics.map(t => t.theme || 'General'));
|
||||
const validTopicIds = new Set(topics.map(t => t.id));
|
||||
const learningTopicIds = new Set(learningTopics.map(t => t.id));
|
||||
|
||||
const scheduledThemes = new Set();
|
||||
const scheduledTopicIds = new Set();
|
||||
|
||||
for (let i = 0; i < (schedule || []).length; i++) {
|
||||
const week = schedule[i];
|
||||
@@ -94,20 +105,30 @@ export function validateSchedule(schedule, topics) {
|
||||
if (!validTopicIds.has(tId)) {
|
||||
errors.push(`Week ${week.week_number} references unknown topic_id: ${tId}`);
|
||||
}
|
||||
scheduledTopicIds.add(tId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Theme coverage — soft warnings, not hard errors
|
||||
// When there are more themes than 26 weeks, the AI must merge some.
|
||||
const missingThemes = [];
|
||||
for (const t of validThemes) {
|
||||
if (!scheduledThemes.has(t)) {
|
||||
missingThemes.push(t);
|
||||
// Theme coverage — only warn when merging wasn't required. When themes_kb > 26
|
||||
// the AI is *required* to merge, so absent theme labels are expected.
|
||||
if (validThemes.size <= 26) {
|
||||
const missingThemes = [];
|
||||
for (const t of validThemes) {
|
||||
if (!scheduledThemes.has(t)) {
|
||||
missingThemes.push(t);
|
||||
}
|
||||
}
|
||||
if (missingThemes.length > 0) {
|
||||
warnings.push(`${missingThemes.length} theme(s) not scheduled: ${missingThemes.join(', ')}`);
|
||||
}
|
||||
}
|
||||
if (missingThemes.length > 0) {
|
||||
warnings.push(`${missingThemes.length} theme(s) not directly scheduled (topics may appear under merged themes): ${missingThemes.join(', ')}`);
|
||||
|
||||
// Topic coverage — the real signal. Topics carried under a merged theme are
|
||||
// still covered; topics absent from every week are not.
|
||||
const missingTopicCount = [...learningTopicIds].filter(id => !scheduledTopicIds.has(id)).length;
|
||||
if (missingTopicCount > 0) {
|
||||
warnings.push(`${missingTopicCount} learning topic(s) not covered by any week of the schedule.`);
|
||||
}
|
||||
|
||||
return { valid: errors.length === 0, errors, warnings };
|
||||
@@ -224,7 +245,9 @@ Rules:
|
||||
throw new Error(`Generated schedule failed validation after retry:\n- ${validationResult.errors.join('\n- ')}`);
|
||||
}
|
||||
|
||||
// Log warnings but don't fail
|
||||
// Log warnings but don't fail. With themes_kb > 26 the AI must merge themes,
|
||||
// so most "missing theme" noise is filtered upstream in validateSchedule —
|
||||
// anything that lands here is a genuine coverage gap worth surfacing.
|
||||
if (validationResult.warnings.length > 0) {
|
||||
console.warn('[Curriculum] Schedule generated with warnings:', validationResult.warnings);
|
||||
}
|
||||
|
||||
81
src/lib/graphGuard.js
Normal file
81
src/lib/graphGuard.js
Normal file
@@ -0,0 +1,81 @@
|
||||
/**
|
||||
* Knowledge-graph safety guards.
|
||||
*
|
||||
* The "Full Analysis" pass lets the LLM propose `merges` (collapse two topics
|
||||
* into one) and `deletions` (drop a topic entirely). Both are destructive and
|
||||
* persisted via bulkSave → db.saveTopics, which wipes-and-rewrites the
|
||||
* `topics` collection.
|
||||
*
|
||||
* Two classes of topic must NEVER be removed by an AI suggestion:
|
||||
*
|
||||
* 1. `learning_relevance === 'exclude'`
|
||||
* Reference material — kept on purpose, surfaced only to R42 search,
|
||||
* intentionally excluded from theme topics. An admin made this choice;
|
||||
* the AI's "irrelevant" judgement must not override it.
|
||||
*
|
||||
* 2. `relevance_locked === true`
|
||||
* Admin pinned this row's relevance. By extension the row itself is
|
||||
* also pinned — deleting it would be a louder change than re-scoring it.
|
||||
*
|
||||
* `filterAiActions` strips any merge/deletion that would touch a protected id
|
||||
* BEFORE it reaches bulkSave. The model still gets to suggest them (we can't
|
||||
* stop it generating), but those suggestions are dropped client-side.
|
||||
*
|
||||
* The function is intentionally pure so it is trivially unit-testable.
|
||||
*/
|
||||
|
||||
/**
|
||||
* @param {{ learning_relevance?: string, relevance_locked?: boolean }} topic
|
||||
*/
|
||||
export function isProtectedTopic(topic) {
|
||||
if (!topic) return false;
|
||||
if (topic.learning_relevance === 'exclude') return true;
|
||||
if (topic.relevance_locked === true) return true;
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Strip protected topics out of `actions.deletions` and `actions.merges`.
|
||||
*
|
||||
* Merges have two ids:
|
||||
* - `keepId` — the survivor
|
||||
* - `deleteId` — gets removed and its relations re-pointed
|
||||
*
|
||||
* If `deleteId` is protected we drop the entire merge (we will not delete a
|
||||
* protected topic, even to consolidate it). If `keepId` is protected we keep
|
||||
* the merge — folding others into a protected canonical topic is fine.
|
||||
*
|
||||
* @param {object[]} currentTopics
|
||||
* @param {{ merges?: {keepId: string, deleteId: string}[], deletions?: string[], newRelations?: object[], relevanceUpdates?: object[] }} actions
|
||||
* @returns {{ filtered: object, dropped: { deletions: string[], merges: object[] } }}
|
||||
*/
|
||||
export function filterAiActions(currentTopics, actions) {
|
||||
const byId = new Map(currentTopics.map(t => [t.id, t]));
|
||||
const isProtected = (id) => isProtectedTopic(byId.get(id));
|
||||
|
||||
const droppedDeletions = [];
|
||||
const keptDeletions = [];
|
||||
for (const id of actions?.deletions ?? []) {
|
||||
if (isProtected(id)) droppedDeletions.push(id);
|
||||
else keptDeletions.push(id);
|
||||
}
|
||||
|
||||
const droppedMerges = [];
|
||||
const keptMerges = [];
|
||||
for (const m of actions?.merges ?? []) {
|
||||
if (isProtected(m?.deleteId)) droppedMerges.push(m);
|
||||
else keptMerges.push(m);
|
||||
}
|
||||
|
||||
return {
|
||||
filtered: {
|
||||
...(actions || {}),
|
||||
deletions: keptDeletions,
|
||||
merges: keptMerges,
|
||||
},
|
||||
dropped: {
|
||||
deletions: droppedDeletions,
|
||||
merges: droppedMerges,
|
||||
},
|
||||
};
|
||||
}
|
||||
Reference in New Issue
Block a user