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sed replacement left orphaned hostname references in story page and empty lines in getApiBase functions. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
147 lines
4.5 KiB
TypeScript
147 lines
4.5 KiB
TypeScript
import type { TrainingJob, TrainingConfig, DatasetStats, DataSource } from './types'
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// ============================================================================
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// MOCK DATA
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// ============================================================================
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export const MOCK_JOBS: TrainingJob[] = []
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export const MOCK_STATS: DatasetStats = {
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total_documents: 632,
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total_chunks: 8547,
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training_allowed: 489,
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by_bundesland: {
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ni: 87, by: 92, nw: 78, he: 65, bw: 71, rp: 43, sn: 38, sh: 34, th: 29,
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},
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by_doc_type: {
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verordnung: 312,
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schulordnung: 156,
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handreichung: 98,
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erlass: 66,
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},
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}
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export const MOCK_DATA_SOURCES: DataSource[] = [
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{
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id: 'nibis',
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name: 'NiBiS Erwartungshorizonte',
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description: 'Offizielle Abitur-Erwartungshorizonte vom Niedersaechsischen Bildungsserver',
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collection: 'bp_nibis_eh',
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document_count: 245,
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chunk_count: 3200,
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last_updated: '2025-01-15T10:30:00Z',
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status: 'active',
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},
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{
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id: 'user_eh',
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name: 'Benutzerdefinierte EH',
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description: 'Von Lehrern hochgeladene schulspezifische Erwartungshorizonte',
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collection: 'bp_eh',
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document_count: 87,
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chunk_count: 1100,
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last_updated: '2025-01-20T14:15:00Z',
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status: 'active',
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},
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{
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id: 'legal',
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name: 'Rechtskorpus',
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description: 'DSGVO, AI Act, BSI-Standards und weitere Compliance-Regelwerke',
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collection: 'bp_legal_corpus',
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document_count: 19,
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chunk_count: 2400,
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last_updated: '2025-01-10T08:00:00Z',
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status: 'active',
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},
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{
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id: 'dsfa',
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name: 'DSFA-Guidance',
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description: 'WP248, DSK Kurzpapiere, Muss-Listen aller Bundeslaender mit Quellenattribution',
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collection: 'bp_dsfa_corpus',
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document_count: 45,
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chunk_count: 850,
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last_updated: '2026-02-09T10:00:00Z',
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status: 'active',
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},
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{
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id: 'schulordnungen',
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name: 'Schulordnungen',
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description: 'Landesschulordnungen und Zeugnisverordnungen aller Bundeslaender',
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collection: 'bp_schulordnungen',
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document_count: 156,
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chunk_count: 1847,
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last_updated: null,
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status: 'pending',
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},
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]
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// ============================================================================
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// API FUNCTIONS
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// ============================================================================
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export async function fetchJobs(): Promise<TrainingJob[]> {
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try {
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const response = await fetch('/api/ai/rag-pipeline?action=jobs')
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if (!response.ok) throw new Error('Failed to fetch jobs')
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return await response.json()
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} catch (error) {
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console.error('Error fetching jobs:', error)
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return MOCK_JOBS
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}
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}
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export async function fetchDatasetStats(): Promise<DatasetStats> {
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try {
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const response = await fetch('/api/ai/rag-pipeline?action=dataset-stats')
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if (!response.ok) throw new Error('Failed to fetch stats')
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return await response.json()
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} catch (error) {
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console.error('Error fetching stats:', error)
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return MOCK_STATS
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}
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}
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export async function createTrainingJob(config: Partial<TrainingConfig>): Promise<{id: string, status: string}> {
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const response = await fetch('/api/ai/rag-pipeline?action=create-job', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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name: `RAG-Index ${new Date().toLocaleDateString('de-DE')}`,
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model_type: 'zeugnis',
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bundeslaender: config.bundeslaender || [],
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batch_size: config.batch_size || 16,
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learning_rate: config.learning_rate || 0.00005,
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epochs: config.epochs || 10,
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warmup_steps: config.warmup_steps || 500,
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weight_decay: config.weight_decay || 0.01,
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gradient_accumulation: config.gradient_accumulation || 4,
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mixed_precision: config.mixed_precision ?? true,
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}),
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})
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if (!response.ok) {
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const error = await response.json()
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throw new Error(error.detail || 'Failed to create job')
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}
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return await response.json()
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}
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export async function pauseJob(jobId: string): Promise<void> {
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const response = await fetch(`/api/ai/rag-pipeline?action=pause&job_id=${jobId}`, {
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method: 'POST',
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})
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if (!response.ok) throw new Error('Failed to pause job')
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}
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export async function resumeJob(jobId: string): Promise<void> {
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const response = await fetch(`/api/ai/rag-pipeline?action=resume&job_id=${jobId}`, {
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method: 'POST',
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})
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if (!response.ok) throw new Error('Failed to resume job')
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}
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export async function cancelJob(jobId: string): Promise<void> {
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const response = await fetch(`/api/ai/rag-pipeline?action=cancel&job_id=${jobId}`, {
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method: 'POST',
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})
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if (!response.ok) throw new Error('Failed to cancel job')
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}
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