2779a41b94
Tables: session_branches, session_handoffs, fork_points,
ai_session_steps, ai_suggestions
Backfill: session_id → ai_sessions.account_id (all except
ai_suggestions which uses user_id → users.account_id)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
"""AI Suggestion model for tracking AI-applied changes to flows."""
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import uuid
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from datetime import datetime, timezone
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from typing import Optional
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from sqlalchemy import DateTime, ForeignKey, String
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from sqlalchemy.dialects.postgresql import JSONB, UUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.database import Base
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class AISuggestion(Base):
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__tablename__ = "ai_suggestions"
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id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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tree_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("trees.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("users.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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account_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("accounts.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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session_id: Mapped[Optional[uuid.UUID]] = mapped_column(
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UUID(as_uuid=True),
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ForeignKey("ai_chat_sessions.id", ondelete="SET NULL"),
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nullable=True,
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)
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action_type: Mapped[str] = mapped_column(
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String(50), nullable=False
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)
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target_node_id: Mapped[Optional[str]] = mapped_column(
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String(255), nullable=True
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)
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changes_json: Mapped[dict] = mapped_column(
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JSONB, nullable=False, default=dict
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)
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status: Mapped[str] = mapped_column(
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String(20), nullable=False, default="pending"
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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nullable=False,
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)
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resolved_at: Mapped[Optional[datetime]] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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