feat: unified_search + ai_proactive plugins with Ollama Cloud DeepSeek V4

- unified_search: Hybride Suche (PostgreSQL FTS + pgvector + RRF Fusion) - 5 Search Providers (Contact, Company, Mail, File, Event) - KI Query Understanding (Fuzzy, Facetten via LiteLLM) - DMS Text-Extraction (PDF, DOCX, XLSX, PPTX) - Embedding Pipeline (ollama/nomic-embed-text, 768 Dim) - Background Jobs für Indexierung - Plugin-basierte Provider Registry - ai_proactive: Proaktiver KI-Agent - Context-Tracking (Frontend → Backend → Event Bus) - Proactive Engine mit LLM Suggestion-Generierung - SSE Real-time Push an Frontend - 6 AI Tools für Tool Registry - Rate-Limiting + User Settings - Deep Analysis Background Jobs - Frontend Integration: - useAIContext Hook, SuggestionSidebar, SuggestionBadge - ProactiveAISettings Page, Search API Client - Globale Suche auf neue API umgestellt - Tests: test_unified_search.py + test_ai_proactive.py (alle bestanden) - Config: Ollama Cloud DeepSeek V4 als Default, konfigurierbar - Dependencies: PyMuPDF, python-docx, python-pptx, pgvector - Bugfixes: notification type_key length, migration IF NOT EXISTS
2026-07-18 11:21:51 +02:00
parent 4c9295de21
commit 8cebb4f4e9
52 changed files with 6493 additions and 41 deletions
@@ -0,0 +1,72 @@
+import { useState, useEffect, useCallback } from 'react';
+import { apiClient } from '@/api/client';
+
+export interface Suggestion {
+  id: string;
+  entity_type: string;
+  entity_id: string | null;
+  suggestion_type: 'info' | 'warning' | 'action' | 'insight';
+  title: string;
+  content: string;
+  confidence: number;
+  actions: Array<{ method: string; path: string; body: any; description: string }>;
+  created_at: string;
+  is_dismissed: boolean;
+  is_acted_upon: boolean;
+}
+
+export function useSuggestions() {
+  const [suggestions, setSuggestions] = useState<Suggestion[]>([]);
+  const [connected, setConnected] = useState(false);
+
+  useEffect(() => {
+    // Initial load
+    apiClient.get('/api/v1/ai-proactive/suggestions').then(r => {
+      setSuggestions(r.data.items);
+    }).catch(() => {});
+
+    // SSE Stream
+    const eventSource = new EventSource('/api/v1/ai-proactive/suggestions/stream');
+    eventSource.onopen = () => setConnected(true);
+    eventSource.onerror = () => setConnected(false);
+    eventSource.onmessage = (e) => {
+      try {
+        const suggestion = JSON.parse(e.data);
+        setSuggestions(prev => [suggestion, ...prev].slice(0, 50));
+      } catch {}
+    };
+
+    return () => eventSource.close();
+  }, []);
+
+  const dismiss = useCallback(async (id: string) => {
+    setSuggestions(prev => prev.filter(s => s.id !== id));
+    await apiClient.post(`/api/v1/ai-proactive/suggestions/${id}/dismiss`).catch(() => {});
+  }, []);
+
+  const act = useCallback(async (id: string, actionIndex: number) => {
+    const result = await apiClient.post(`/api/v1/ai-proactive/suggestions/${id}/act`, {
+      action_index: actionIndex
+    });
+    setSuggestions(prev => prev.map(s => s.id === id ? { ...s, is_acted_upon: true } : s));
+    return result.data;
+  }, []);
+
+  return { suggestions, connected, dismiss, act };
+}
+
+export function useProactiveSettings() {
+  const [settings, setSettings] = useState<any>(null);
+
+  useEffect(() => {
+    apiClient.get('/api/v1/ai-proactive/settings').then(r => setSettings(r.data));
+  }, []);
+
+  const update = useCallback(async (updates: any) => {
+    const r = await apiClient.put('/api/v1/ai-proactive/settings', updates);
+    setSettings(r.data);
+    return r.data;
+  }, []);
+
+  return { settings, update };
+}