3d9b76cea4
feat(E): Unified Search — 24 Tasks complete
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- SPIKE-E: FTS+Vector+Permission benchmark on 10k records (all <30ms)
- E-PROV: supports_fts/vector/rag/graph capability flags on all providers
- E-FTS/VEC: All 11 providers refactored to BaseSearchProvider with permission filtering
- E-PERM: Over-fetch strategy for vector+permission (15x faster than ANY() filter)
- E-FUSE: rrf_fusion_multi() for N-way RRF over FTS+Vector+RAG+Graph
- E-LLM: Query understanding cleaned up to use central llm_complete()
- E-CHUNK: Document chunking module + document_chunks table with HNSW index
- E-EMB: Chunk embedding ARQ jobs (index_file_chunks, reindex_chunks)
- E-RAG: RAG retrieval via FileSearchProvider.search_rag()
- E-GRAPH: GraphRAG BFS traversal via GraphRAGSearchProvider.search_graph()
- E-IX-EVT: Auto-indexing via outbox events + delete/cleanup handlers
- E-IX-RE: Batch reindex with progress tracking + reindex_all job
- E-DATA-LIFE: Lifecycle module (remove/rebuild/restore/correct) + API endpoints
- E-K-MEM: AgentMemorySearchProvider
- E-P-AI: AIChatSearchProvider
- E-P-WF: WorkflowSearchProvider
- E-P-COMM: ConversationSearchProvider verified (already on BaseSearchProvider)
- E-API: Filter params (date_from/to, tags, sort) + /facets endpoint
- E-TOOL: unified_search AI tool registered in ToolRegistry
- E-MCP: Search tool in MCP server with normal RBAC/tenant checks
- E-UI-CMD: CommandPalette (Cmd+K) with debounced search + recent searches
- E-UI-FAC: SearchFacets, SearchResultCard, SavedSearches components
- E-TEST: 40 new tests in test_unified_search_phase_e.py (105 total green)
- E-DOC: api-documentation.md, plugin-development-guide.md, test-strategy.md updated
105 tests passing, TypeScript clean.
2026-08-14 01:34:58 +02:00
ae228bb484
feat(B-HOOK): Lifecycle Hooks + Outbox Events — 55 neue Hooks, 10 Domain Events
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B-HOOK-CORE: Company Hooks (6: before/after create/update/delete)
B-HOOK-MAIL: Mail Hooks (5: after_receive, before/after_delete, before/after_move)
B-HOOK-DMS: DMS Hooks (10: after_upload, before/after_update/delete/restore, folder CRUD)
B-HOOK-CAL: Calendar Hooks (4: before/after update/delete)
B-HOOK-TASK: Task Hooks (6: before/after create/update/delete)
B-HOOK-COMM: Communication Hooks (8: conversation create, message/edit/delete)
B-HOOK-AI: Agent Hooks (2: before/after_run)
B-HOOK-WF: Workflow Hooks (4: before/after_start, after_complete/cancel)
B-HOOK-TAG: Tag Hooks (8: create/assign/unassign/delete)
B-HOOK-SEARCH: Search Filters (2: before/after_search)
B-EVT-OUTBOX: 10 Domain Events (task.completed, file.created/deleted/restored, mail.received, workflow.started/completed/cancelled, agent.run_started/completed)
B-HOOK-TEST: 79 Tests in test_lifecycle_hooks.py — alle grün
B-HOOK-DOC: Plugin-Dev-Guide Kapitel 8 aktualisiert (Hook-Liste + Outbox Event-Liste)
2026-08-13 20:54:15 +02:00
211242a807
feat(B-VEC): pgvector HNSW Optimierung — ef_construction=128, m=16, ef_search=40
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B-VEC: Migration 0118 — HNSW-Indizes mit optimierten Parametern (ef_construction=128, m=16)
- 5 Tabellen: contacts, mails, files, calendar_entries, tags
- config.py: hnsw_ef_construction, hnsw_m, hnsw_ef_search, vector_index_type Settings
- base_provider.py + search_engine.py: SET LOCAL hnsw.ef_search vor Vector-Queries
B-VEC-IVF: IVFFlat als Alternative dokumentiert (vector_index_type Setting)
B-VEC-BATCH: Batch-Embedding verifiziert (generate_embeddings_batch nutzt llm_embed())
B-VEC-TEST: Performance-Tests auf Coolify-Instanz verschoben (benötigt 10k+ Datensätze)
2026-08-13 16:28:55 +02:00
517e1b6d8b
sprint2+3: remaining services visibility filter + search provider permission-aware + dashboard route
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2026-07-29 02:05:14 +02:00
879106c4eb
Phase 1C: Frontend unified contact UI
2026-07-23 17:17:32 +02:00
4a43745b50
fix: unified_search + ai_proactive get API key from DB, fix model names for Ollama Cloud
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- query_understanding.py: get API key/base_url/provider_type from ai_providers DB
- embedding.py: get API key from DB, pass db+tenant_id through call chain
- routes.py: pass db+tenant_id to llm_analyze_query and llm_aggregate_results
- search_engine.py: pass db+tenant_id to generate_embedding
- unified_search/jobs.py: pass db+tenant_id to generate_embedding
- Fix all default model names: ollama/deepseek-v4 -> ollama/deepseek-v4-flash
- Ollama Cloud has no embedding endpoint; embedding calls fail gracefully
2026-07-19 02:22:25 +02:00
8cebb4f4e9
feat: unified_search + ai_proactive plugins with Ollama Cloud DeepSeek V4
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- 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
Agent Zero