[split-required] Split 58 monoliths across Python, Go, TypeScript (Phases 1-3)

Phase 1 — Python (klausur-service): 5 monoliths → 36 files
- dsfa_corpus_ingestion.py (1,828 LOC → 5 files)
- cv_ocr_engines.py (2,102 LOC → 7 files)
- cv_layout.py (3,653 LOC → 10 files)
- vocab_worksheet_api.py (2,783 LOC → 8 files)
- grid_build_core.py (1,958 LOC → 6 files)

Phase 2 — Go (edu-search-service, school-service): 8 monoliths → 19 files
- staff_crawler.go (1,402 → 4), policy/store.go (1,168 → 3)
- policy_handlers.go (700 → 2), repository.go (684 → 2)
- search.go (592 → 2), ai_extraction_handlers.go (554 → 2)
- seed_data.go (591 → 2), grade_service.go (646 → 2)

Phase 3 — TypeScript (admin-lehrer): 45 monoliths → 220+ files
- sdk/types.ts (2,108 → 16 domain files)
- ai/rag/page.tsx (2,686 → 14 files)
- 22 page.tsx files split into _components/ + _hooks/
- 11 component files split into sub-components
- 10 SDK data catalogs added to loc-exceptions
- Deleted dead backup index_original.ts (4,899 LOC)

All original public APIs preserved via re-export facades.
Zero new errors: Python imports verified, Go builds clean,
TypeScript tsc --noEmit shows only pre-existing errors.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

admin-lehrer/app/(admin)/communication/alerts/useAlertsData.ts

@@ -0,0 +1,191 @@
+'use client'
+
+import { useEffect, useState, useCallback } from 'react'
+import type { AlertItem, Topic, Rule, Profile, Stats } from './types'
+
+const API_BASE = '/api/alerts'
+
+export function useAlertsData() {
+  const [stats, setStats] = useState<Stats | null>(null)
+  const [alerts, setAlerts] = useState<AlertItem[]>([])
+  const [topics, setTopics] = useState<Topic[]>([])
+  const [rules, setRules] = useState<Rule[]>([])
+  const [profile, setProfile] = useState<Profile | null>(null)
+  const [loading, setLoading] = useState(true)
+  const [error, setError] = useState<string | null>(null)
+  const [inboxFilter, setInboxFilter] = useState<string>('all')
+
+  const fetchData = useCallback(async () => {
+    try {
+      const [statsRes, alertsRes, topicsRes, rulesRes, profileRes] = await Promise.all([
+        fetch(`${API_BASE}/stats`),
+        fetch(`${API_BASE}/inbox?limit=50`),
+        fetch(`${API_BASE}/topics`),
+        fetch(`${API_BASE}/rules`),
+        fetch(`${API_BASE}/profile`),
+      ])
+
+      if (statsRes.ok) setStats(await statsRes.json())
+      if (alertsRes.ok) {
+        const data = await alertsRes.json()
+        setAlerts(data.items || [])
+      }
+      if (topicsRes.ok) {
+        const data = await topicsRes.json()
+        setTopics(data.topics || data.items || [])
+      }
+      if (rulesRes.ok) {
+        const data = await rulesRes.json()
+        setRules(data.rules || data.items || [])
+      }
+      if (profileRes.ok) setProfile(await profileRes.json())
+
+      setError(null)
+    } catch (err) {
+      setError(err instanceof Error ? err.message : 'Verbindungsfehler')
+      setStats({
+        total_alerts: 147,
+        new_alerts: 23,
+        kept_alerts: 89,
+        review_alerts: 12,
+        dropped_alerts: 23,
+        total_topics: 5,
+        active_topics: 4,
+        total_rules: 8,
+      })
+      setAlerts([
+        {
+          id: 'demo_1',
+          title: 'Neue Studie zur digitalen Bildung an Schulen',
+          url: 'https://example.com/artikel1',
+          snippet: 'Eine aktuelle Studie zeigt, dass digitale Lernmittel den Lernerfolg steigern koennen...',
+          topic_name: 'Digitale Bildung',
+          relevance_score: 0.85,
+          relevance_decision: 'KEEP',
+          status: 'new',
+          fetched_at: new Date().toISOString(),
+          published_at: null,
+          matched_rule: null,
+          tags: ['bildung', 'digital'],
+        },
+        {
+          id: 'demo_2',
+          title: 'Inklusion: Fortbildungen fuer Lehrkraefte',
+          url: 'https://example.com/artikel2',
+          snippet: 'Das Kultusministerium bietet neue Fortbildungsangebote zum Thema Inklusion an...',
+          topic_name: 'Inklusion',
+          relevance_score: 0.72,
+          relevance_decision: 'KEEP',
+          status: 'new',
+          fetched_at: new Date(Date.now() - 3600000).toISOString(),
+          published_at: null,
+          matched_rule: null,
+          tags: ['inklusion'],
+        },
+      ])
+      setTopics([
+        {
+          id: 'topic_1',
+          name: 'Digitale Bildung',
+          feed_url: 'https://google.com/alerts/feeds/123',
+          feed_type: 'rss',
+          is_active: true,
+          fetch_interval_minutes: 60,
+          last_fetched_at: new Date().toISOString(),
+          alert_count: 47,
+        },
+        {
+          id: 'topic_2',
+          name: 'Inklusion',
+          feed_url: 'https://google.com/alerts/feeds/456',
+          feed_type: 'rss',
+          is_active: true,
+          fetch_interval_minutes: 60,
+          last_fetched_at: new Date(Date.now() - 1800000).toISOString(),
+          alert_count: 32,
+        },
+      ])
+      setRules([
+        {
+          id: 'rule_1',
+          name: 'Stellenanzeigen ausschliessen',
+          topic_id: null,
+          conditions: [{ field: 'title', operator: 'contains', value: 'Stellenangebot' }],
+          action_type: 'drop',
+          action_config: {},
+          priority: 10,
+          is_active: true,
+        },
+      ])
+      setProfile({
+        priorities: ['Inklusion', 'digitale Bildung'],
+        exclusions: ['Stellenanzeigen', 'Werbung'],
+        positive_examples: [],
+        negative_examples: [],
+        policies: { keep_threshold: 0.7, drop_threshold: 0.3 },
+      })
+    } finally {
+      setLoading(false)
+    }
+  }, [])
+
+  useEffect(() => {
+    fetchData()
+  }, [fetchData])
+
+  const filteredAlerts = alerts.filter((alert) => {
+    if (inboxFilter === 'all') return true
+    if (inboxFilter === 'new') return alert.status === 'new'
+    if (inboxFilter === 'keep') return alert.relevance_decision === 'KEEP'
+    if (inboxFilter === 'review') return alert.relevance_decision === 'REVIEW'
+    return true
+  })
+
+  return {
+    stats,
+    alerts,
+    topics,
+    rules,
+    profile,
+    loading,
+    error,
+    inboxFilter,
+    setInboxFilter,
+    filteredAlerts,
+  }
+}
+
+// --- Helper functions (pure, no hooks) ---
+
+export function formatTimeAgo(dateStr: string | null): string {
+  if (!dateStr) return '-'
+  const date = new Date(dateStr)
+  const now = new Date()
+  const diffMs = now.getTime() - date.getTime()
+  const diffMins = Math.floor(diffMs / 60000)
+
+  if (diffMins < 1) return 'gerade eben'
+  if (diffMins < 60) return `vor ${diffMins} Min.`
+  if (diffMins < 1440) return `vor ${Math.floor(diffMins / 60)} Std.`
+  return `vor ${Math.floor(diffMins / 1440)} Tagen`
+}
+
+export function getScoreBadgeClass(score: number | null): { pct: number; cls: string } | null {
+  if (score === null) return null
+  const pct = Math.round(score * 100)
+  let cls = 'bg-slate-100 text-slate-600'
+  if (pct >= 70) cls = 'bg-green-100 text-green-800'
+  else if (pct >= 40) cls = 'bg-amber-100 text-amber-800'
+  else cls = 'bg-red-100 text-red-800'
+  return { pct, cls }
+}
+
+export function getDecisionBadgeClass(decision: string | null): { decision: string; cls: string } | null {
+  if (!decision) return null
+  const styles: Record<string, string> = {
+    KEEP: 'bg-green-100 text-green-800',
+    REVIEW: 'bg-amber-100 text-amber-800',
+    DROP: 'bg-red-100 text-red-800',
+  }
+  return { decision, cls: styles[decision] || 'bg-slate-100' }
+}