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 +1,111 @@
+"""SQLAlchemy models for the AI Proactive plugin."""
+
+from __future__ import annotations
+
+import uuid
+from datetime import datetime
+from typing import Any
+
+from sqlalchemy import (
+    Boolean,
+    DateTime,
+    Float,
+    ForeignKey,
+    Index,
+    Integer,
+    String,
+    Text,
+)
+from sqlalchemy.dialects.postgresql import JSONB, UUID as PGUUID
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.db import Base, TenantMixin
+
+
+class ProactiveSuggestion(Base, TenantMixin):
+    """A proactive AI suggestion generated from user context."""
+
+    __tablename__ = "ai_proactive_suggestions"
+    __table_args__ = (
+        Index(
+            "ix_suggestions_user",
+            "tenant_id",
+            "user_id",
+            "is_dismissed",
+            "created_at",
+        ),
+        Index("ix_suggestions_entity", "tenant_id", "entity_type", "entity_id"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
+    )
+    user_id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
+    )
+    entity_type: Mapped[str] = mapped_column(String(50), nullable=False)
+    entity_id: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), nullable=True)
+    suggestion_type: Mapped[str] = mapped_column(
+        String(50), nullable=False, default="info"
+    )
+    title: Mapped[str] = mapped_column(String(200), nullable=False)
+    content: Mapped[str] = mapped_column(Text, nullable=False)
+    confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
+    actions: Mapped[list[Any]] = mapped_column(JSONB, nullable=False, default=list)
+    is_dismissed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    is_acted_upon: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    context_snapshot: Mapped[dict[str, Any]] = mapped_column(
+        JSONB, nullable=False, default=dict
+    )
+    expires_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+
+
+class ContextLog(Base, TenantMixin):
+    """Log of user context changes (page views, entity selections)."""
+
+    __tablename__ = "ai_proactive_context_log"
+    __table_args__ = (
+        Index("ix_context_log_user_time", "tenant_id", "user_id", "created_at"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
+    )
+    user_id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
+    )
+    page: Mapped[str] = mapped_column(String(200), nullable=False)
+    entity_type: Mapped[str | None] = mapped_column(String(50), nullable=True)
+    entity_id: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), nullable=True)
+    entity_data: Mapped[dict[str, Any]] = mapped_column(
+        JSONB, nullable=False, default=dict
+    )
+
+
+class ProactiveSettings(Base, TenantMixin):
+    """Per-user settings for proactive AI."""
+
+    __tablename__ = "ai_proactive_settings"
+    __table_args__ = (
+        Index("ix_proactive_settings_user", "tenant_id", "user_id"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
+    )
+    user_id: Mapped[uuid.UUID] = mapped_column(
+        PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
+    )
+    enabled: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
+    suggestion_categories: Mapped[list[Any]] = mapped_column(
+        JSONB, nullable=False, default=lambda: ["mail", "tasks", "contacts", "companies", "insights"]
+    )
+    confidence_threshold: Mapped[float] = mapped_column(
+        Float, nullable=False, default=0.5
+    )
+    rate_limit_seconds: Mapped[int] = mapped_column(
+        Integer, nullable=False, default=10
+    )
+    model: Mapped[str] = mapped_column(String(100), nullable=False, default="ollama/deepseek-v4")