58 lines
2.7 KiB
Python
58 lines
2.7 KiB
Python
"""ORM model for run metadata."""
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from __future__ import annotations
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from datetime import UTC, datetime
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from sqlalchemy import Index, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from deerflow.persistence.base import Base
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from deerflow.persistence.types import BeijingDateTime, PortableJSON
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class RunRow(Base):
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__tablename__ = "runs"
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run_id: Mapped[str] = mapped_column(String(64), primary_key=True)
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thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
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assistant_id: Mapped[str | None] = mapped_column(String(128))
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user_id: Mapped[str | None] = mapped_column(String(64), index=True)
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status: Mapped[str] = mapped_column(String(20), default="pending")
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# "pending" | "running" | "success" | "error" | "timeout" | "interrupted"
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model_name: Mapped[str | None] = mapped_column(String(128))
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multitask_strategy: Mapped[str] = mapped_column(String(20), default="reject")
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metadata_json: Mapped[dict] = mapped_column(PortableJSON(), default=dict)
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kwargs_json: Mapped[dict] = mapped_column(PortableJSON(), default=dict)
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error: Mapped[str | None] = mapped_column(Text)
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# Convenience fields (for listing pages without querying RunEventStore)
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message_count: Mapped[int] = mapped_column(default=0)
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first_human_message: Mapped[str | None] = mapped_column(Text)
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last_ai_message: Mapped[str | None] = mapped_column(Text)
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# Token usage (accumulated in-memory by RunJournal, written on run completion)
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total_input_tokens: Mapped[int] = mapped_column(default=0)
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total_output_tokens: Mapped[int] = mapped_column(default=0)
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total_tokens: Mapped[int] = mapped_column(default=0)
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llm_call_count: Mapped[int] = mapped_column(default=0)
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lead_agent_tokens: Mapped[int] = mapped_column(default=0)
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subagent_tokens: Mapped[int] = mapped_column(default=0)
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middleware_tokens: Mapped[int] = mapped_column(default=0)
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# Follow-up association
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follow_up_to_run_id: Mapped[str | None] = mapped_column(String(64))
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created_at: Mapped[datetime] = mapped_column(BeijingDateTime(), default=lambda: datetime.now(UTC))
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updated_at: Mapped[datetime] = mapped_column(BeijingDateTime(), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
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__table_args__ = (
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Index("ix_runs_thread_status", "thread_id", "status"),
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Index("ix_runs_created_user_status", "created_at", "user_id", "status"),
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Index("ix_runs_user_created", "user_id", "created_at"),
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Index("ix_runs_thread_created", "thread_id", "created_at"),
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Index("ix_runs_created_assistant_user", "created_at", "assistant_id", "user_id"),
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Index("ix_runs_created_model_user", "created_at", "model_name", "user_id"),
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)
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