8cebb4f4e9
- 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
112 lines
3.9 KiB
Python
112 lines
3.9 KiB
Python
"""SQLAlchemy models for the AI Proactive plugin."""
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from typing import Any
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from sqlalchemy import (
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Boolean,
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DateTime,
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Float,
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ForeignKey,
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Index,
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Integer,
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String,
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Text,
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)
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from sqlalchemy.dialects.postgresql import JSONB, UUID as PGUUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.db import Base, TenantMixin
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class ProactiveSuggestion(Base, TenantMixin):
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"""A proactive AI suggestion generated from user context."""
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__tablename__ = "ai_proactive_suggestions"
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__table_args__ = (
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Index(
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"ix_suggestions_user",
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"tenant_id",
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"user_id",
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"is_dismissed",
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"created_at",
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),
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Index("ix_suggestions_entity", "tenant_id", "entity_type", "entity_id"),
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)
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id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
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)
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entity_type: Mapped[str] = mapped_column(String(50), nullable=False)
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entity_id: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), nullable=True)
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suggestion_type: Mapped[str] = mapped_column(
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String(50), nullable=False, default="info"
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)
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title: Mapped[str] = mapped_column(String(200), nullable=False)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
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actions: Mapped[list[Any]] = mapped_column(JSONB, nullable=False, default=list)
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is_dismissed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_acted_upon: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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context_snapshot: Mapped[dict[str, Any]] = mapped_column(
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JSONB, nullable=False, default=dict
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)
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expires_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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class ContextLog(Base, TenantMixin):
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"""Log of user context changes (page views, entity selections)."""
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__tablename__ = "ai_proactive_context_log"
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__table_args__ = (
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Index("ix_context_log_user_time", "tenant_id", "user_id", "created_at"),
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)
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id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
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)
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page: Mapped[str] = mapped_column(String(200), nullable=False)
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entity_type: Mapped[str | None] = mapped_column(String(50), nullable=True)
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entity_id: Mapped[uuid.UUID | None] = mapped_column(PGUUID(as_uuid=True), nullable=True)
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entity_data: Mapped[dict[str, Any]] = mapped_column(
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JSONB, nullable=False, default=dict
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)
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class ProactiveSettings(Base, TenantMixin):
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"""Per-user settings for proactive AI."""
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__tablename__ = "ai_proactive_settings"
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__table_args__ = (
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Index("ix_proactive_settings_user", "tenant_id", "user_id"),
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)
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id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), ForeignKey("users.id", ondelete="CASCADE"), nullable=False
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)
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enabled: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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suggestion_categories: Mapped[list[Any]] = mapped_column(
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JSONB, nullable=False, default=lambda: ["mail", "tasks", "contacts", "companies", "insights"]
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)
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confidence_threshold: Mapped[float] = mapped_column(
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Float, nullable=False, default=0.5
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)
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rate_limit_seconds: Mapped[int] = mapped_column(
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Integer, nullable=False, default=10
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)
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model: Mapped[str] = mapped_column(String(100), nullable=False, default="ollama/deepseek-v4")
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