b15a62bec6
Phase 1A: Remove company routes/services/models/schemas, unify to Contact
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- Removed: app/routes/companies.py, app/services/company_service.py, app/models/company.py, app/schemas/company.py
- Updated: main.py, routes/__init__.py, models/__init__.py (removed company imports)
- Updated: action_mapper.py (company intents → contact intents, /api/v1/companies → /api/v1/contacts)
- Updated: workflows/engine.py (company.created → contact.created)
- Updated: worker.py (removed index_company)
- Updated: roles.py, permission_registry.py, permissions.py, deps.py (companies: → contacts:)
- Updated: permission_registry.py CORE_FIELD_DEFINITIONS (old field names → unified contact fields)
- Updated: address model/schema/service (entity_type company → contact only)
- Updated: ai_copilot_service.py (_exec_companies removed, _exec_contacts extended)
- Updated: ai_proactive services/jobs/context_tools (Company → Contact, company_contacts → contact_persons)
- Updated: unified_search jobs.py (removed index_company), query_understanding.py
- Updated: calendar/models.py, addresses.py docstrings
- Updated: conftest.py (Company → Contact, removed companies/company_contacts from TRUNCATE)
- Updated: test_unified_search.py (index_company → index_contact)
2026-07-23 17:29:53 +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