leocrm-bot
14bd4e33fb
- KI-Copilot: NL query → proposed actions, execute with RBAC, history, audit logging - LLM client: mock mode (no API key) + OpenAI-compatible mode (AI_MODEL/AI_API_KEY) - Action mapper: NL intent → API calls (create/update/delete/search company/contact) - Workflow engine: step types (action/approval/notification/condition), JSONB steps - Workflow lifecycle: pending → in_progress → completed/rejected/cancelled - Event-triggered workflows: event bus → auto-start instances - Code-engine workflows: onboarding on user.created event - Approval timeout: auto-reject after configured hours - 5 new tenant-scoped tables with RLS: ai_conversations, ai_messages, workflows, workflow_instances, workflow_step_history - Migration 0004: all tables + RLS policies + tenant_id + indexes - 238 tests pass (30 AC + 105 coverage + 103 existing), 84.12% T09 module coverage - MissingGreenlet fix: safe accessor helpers for async ORM attribute access
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
"""AI Conversation and Message models — tenant-scoped with RLS."""
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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 String, Text, DateTime, ForeignKey, func, Index, Integer
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from sqlalchemy.dialects.postgresql import UUID as PGUUID, JSONB
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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 AIConversation(Base, TenantMixin):
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"""AI Copilot conversation thread — tenant-scoped."""
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__tablename__ = "ai_conversations"
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__table_args__ = (
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Index("ix_ai_conversations_tenant_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, index=True
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)
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title: Mapped[str] = mapped_column(String(255), nullable=False, default="Untitled")
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context: Mapped[dict[str, Any]] = mapped_column(JSONB, default=dict, nullable=False)
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class AIMessage(Base, TenantMixin):
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"""Individual messages within an AI conversation — user input, AI response, actions."""
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__tablename__ = "ai_messages"
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__table_args__ = (
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Index("ix_ai_messages_tenant_conversation", "tenant_id", "conversation_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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conversation_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), ForeignKey("ai_conversations.id", ondelete="CASCADE"), nullable=False, index=True
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)
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role: Mapped[str] = mapped_column(String(20), nullable=False) # user, assistant, system
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content: Mapped[str] = mapped_column(Text, nullable=False)
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proposed_actions: Mapped[list[dict[str, Any]] | None] = mapped_column(JSONB, nullable=True)
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executed_action: Mapped[dict[str, Any] | None] = mapped_column(JSONB, nullable=True)
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execution_result: Mapped[dict[str, Any] | None] = mapped_column(JSONB, nullable=True)
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message_index: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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