"""ORM model for run metadata."""

from __future__ import annotations

from datetime import datetime

from sqlalchemy import JSON, DateTime, Index, String, Text
from sqlalchemy.orm import Mapped, mapped_column

from deerflow.persistence.base import Base


class RunRow(Base):
    __tablename__ = "runs"

    run_id: Mapped[str] = mapped_column(String(64), primary_key=True)
    thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
    assistant_id: Mapped[str | None] = mapped_column(String(128))
    owner_id: Mapped[str | None] = mapped_column(String(64), index=True)
    status: Mapped[str] = mapped_column(String(20), default="pending")
    # "pending" | "running" | "success" | "error" | "timeout" | "interrupted"

    model_name: Mapped[str | None] = mapped_column(String(128))
    multitask_strategy: Mapped[str] = mapped_column(String(20), default="reject")
    metadata_json: Mapped[dict] = mapped_column(JSON, default=dict)
    kwargs_json: Mapped[dict] = mapped_column(JSON, default=dict)
    error: Mapped[str | None] = mapped_column(Text)

    # Convenience fields (for listing pages without querying RunEventStore)
    message_count: Mapped[int] = mapped_column(default=0)
    first_human_message: Mapped[str | None] = mapped_column(Text)
    last_ai_message: Mapped[str | None] = mapped_column(Text)

    # Token usage (accumulated in-memory by RunJournal, written on run completion)
    total_input_tokens: Mapped[int] = mapped_column(default=0)
    total_output_tokens: Mapped[int] = mapped_column(default=0)
    total_tokens: Mapped[int] = mapped_column(default=0)
    llm_call_count: Mapped[int] = mapped_column(default=0)
    lead_agent_tokens: Mapped[int] = mapped_column(default=0)
    subagent_tokens: Mapped[int] = mapped_column(default=0)
    middleware_tokens: Mapped[int] = mapped_column(default=0)

    # Follow-up association
    follow_up_to_run_id: Mapped[str | None] = mapped_column(String(64))

    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now())
    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(), onupdate=lambda: datetime.now())

    __table_args__ = (Index("ix_runs_thread_status", "thread_id", "status"),)