"""AI session step model. Every interaction within an AI session is captured as a step. Steps are the raw material that becomes flow nodes in the Knowledge Flywheel. """ import uuid from datetime import datetime, timezone from typing import Optional, Any, TYPE_CHECKING from sqlalchemy import String, Text, DateTime, ForeignKey, Integer, Float, CheckConstraint from sqlalchemy.orm import Mapped, mapped_column, relationship from sqlalchemy.dialects.postgresql import UUID, JSONB from app.core.database import Base if TYPE_CHECKING: from app.models.ai_session import AISession from app.models.script_template import ScriptGeneration from app.models.session_branch import SessionBranch from app.models.fork_point import ForkPoint class AISessionStep(Base): """A single interaction step within a FlowPilot session. Step types: - question: FlowPilot asks a diagnostic question with options - action: FlowPilot suggests an action for the engineer to perform - script_generation: FlowPilot invokes the Script Generator - verification: FlowPilot asks engineer to verify a condition - info_request: FlowPilot asks engineer to gather specific data - note: Engineer or FlowPilot adds a contextual note - intake_analysis: Initial analysis of the intake content """ __tablename__ = "ai_session_steps" __table_args__ = ( CheckConstraint( "step_type IN ('question', 'action', 'script_generation', 'verification', " "'info_request', 'note', 'intake_analysis', 'fork', 'status_update')", name="ck_ai_session_steps_step_type", ), ) id: Mapped[uuid.UUID] = mapped_column( UUID(as_uuid=True), primary_key=True, default=uuid.uuid4 ) session_id: Mapped[uuid.UUID] = mapped_column( UUID(as_uuid=True), ForeignKey("ai_sessions.id", ondelete="CASCADE"), nullable=False, index=True, ) account_id: Mapped[uuid.UUID] = mapped_column( UUID(as_uuid=True), ForeignKey("accounts.id", ondelete="CASCADE"), nullable=False, index=True, comment="Denormalized from ai_sessions.account_id for direct tenant filtering.", ) step_order: Mapped[int] = mapped_column( Integer, nullable=False, comment="Sequential position in the session (0-indexed)", ) step_type: Mapped[str] = mapped_column( String(30), nullable=False, ) # ── Content presented to engineer ── content: Mapped[dict[str, Any]] = mapped_column( JSONB, nullable=False, default=dict, comment="The question/action content rendered in the session UI", ) context_message: Mapped[Optional[str]] = mapped_column( Text, nullable=True, comment="Why FlowPilot is asking this (shown above the question)", ) # ── Options (for question steps) ── options_presented: Mapped[Optional[list[dict[str, Any]]]] = mapped_column( JSONB, nullable=True, comment="Array of {label, value, followup_hint} options shown to engineer", ) # ── Engineer response ── selected_option: Mapped[Optional[str]] = mapped_column( String(500), nullable=True, comment="Which option the engineer selected (value field)", ) free_text_input: Mapped[Optional[str]] = mapped_column( Text, nullable=True, comment="If engineer typed a custom response instead of selecting an option", ) was_free_text: Mapped[bool] = mapped_column( default=False, comment="True if the engineer used the free-text escape hatch", ) was_skipped: Mapped[bool] = mapped_column( default=False, comment="True if engineer selected 'I don't know / Can't check'", ) # ── Action results ── action_result: Mapped[Optional[dict[str, Any]]] = mapped_column( JSONB, nullable=True, comment="Outcome of action step: {success: bool, details: str, next_hint: str}", ) # ── Script generation link ── script_generation_id: Mapped[Optional[uuid.UUID]] = mapped_column( UUID(as_uuid=True), ForeignKey("script_generations.id", ondelete="SET NULL"), nullable=True, ) # ── AI internals ── confidence_at_step: Mapped[float] = mapped_column( Float, nullable=False, default=0.0, comment="FlowPilot confidence level at this point (0.0-1.0)", ) ai_reasoning: Mapped[Optional[str]] = mapped_column( Text, nullable=True, comment="Why FlowPilot chose this step (internal, for debugging/training)", ) input_tokens: Mapped[int] = mapped_column( Integer, nullable=False, default=0, ) output_tokens: Mapped[int] = mapped_column( Integer, nullable=False, default=0, ) # ── Branching ── branch_id: Mapped[Optional[uuid.UUID]] = mapped_column( UUID(as_uuid=True), ForeignKey("session_branches.id", ondelete="SET NULL"), nullable=True, index=True, comment="NULL = pre-branching/root messages", ) is_fork_point: Mapped[bool] = mapped_column( default=False, comment="Whether this step triggered a fork", ) fork_point_id: Mapped[Optional[uuid.UUID]] = mapped_column( UUID(as_uuid=True), ForeignKey("fork_points.id", ondelete="SET NULL"), nullable=True, ) # ── Timestamps ── created_at: Mapped[datetime] = mapped_column( DateTime(timezone=True), default=lambda: datetime.now(timezone.utc) ) responded_at: Mapped[Optional[datetime]] = mapped_column( DateTime(timezone=True), nullable=True, comment="When the engineer responded to this step", ) # ── Relationships ── session: Mapped["AISession"] = relationship("AISession", back_populates="steps") script_generation: Mapped[Optional["ScriptGeneration"]] = relationship("ScriptGeneration")