"""Agent session and execution step models — persistent, auditable agent lifecycle.""" import uuid from datetime import datetime, timezone from sqlalchemy import String, Integer, Float, DateTime, Text, ForeignKey, JSON, Boolean from sqlalchemy.orm import Mapped, mapped_column, relationship from mac.database import Base def _utcnow(): return datetime.now(timezone.utc) def _gen_uuid(): return str(uuid.uuid4()) class AgentSession(Base): """A durable agent execution session tied to a user.""" __tablename__ = "agent_sessions" id: Mapped[str] = mapped_column(String(36), primary_key=True, default=_gen_uuid) user_id: Mapped[str] = mapped_column(String(36), ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) query: Mapped[str] = mapped_column(Text, nullable=False) status: Mapped[str] = mapped_column(String(20), nullable=False, default="planning") # planning | executing | completed | failed | cancelled | timeout final_response: Mapped[str | None] = mapped_column(Text, nullable=True) error_message: Mapped[str | None] = mapped_column(Text, nullable=True) plan: Mapped[dict | None] = mapped_column(JSON, nullable=True) # serialised step list step_count: Mapped[int] = mapped_column(Integer, default=0) current_step: Mapped[int] = mapped_column(Integer, default=0) tokens_used: Mapped[int] = mapped_column(Integer, default=0) latency_ms: Mapped[int] = mapped_column(Integer, default=0) created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, index=True) updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, onupdate=_utcnow) steps: Mapped[list["AgentStep"]] = relationship( back_populates="session", cascade="all, delete-orphan", order_by="AgentStep.step_number" ) class AgentStep(Base): """Individual execution step within an agent session.""" __tablename__ = "agent_steps" id: Mapped[str] = mapped_column(String(36), primary_key=True, default=_gen_uuid) session_id: Mapped[str] = mapped_column(String(36), ForeignKey("agent_sessions.id", ondelete="CASCADE"), nullable=False, index=True) step_number: Mapped[int] = mapped_column(Integer, nullable=False) title: Mapped[str] = mapped_column(String(200), nullable=False) description: Mapped[str] = mapped_column(Text, nullable=True) tool: Mapped[str] = mapped_column(String(50), nullable=False, default="none") status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending") # pending | running | completed | failed | skipped result: Mapped[dict | None] = mapped_column(JSON, nullable=True) error_message: Mapped[str | None] = mapped_column(Text, nullable=True) started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) session: Mapped["AgentSession"] = relationship(back_populates="steps")