mirror of
https://github.com/bytedance/deer-flow.git
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645ca08f16
* fix(frontend): clarify reuse-thread scheduling behavior * fix(scheduler): enqueue overlapping scheduled runs * fix(scheduler): preserve queue lease fencing * fix(scheduler): close queue concurrency races * fix(scheduler): harden queue timeout bookkeeping * fix(scheduler): preserve manual failure schedule --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
40 lines
2.0 KiB
Python
40 lines
2.0 KiB
Python
from __future__ import annotations
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from datetime import UTC, datetime
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from sqlalchemy import JSON, DateTime, Integer, 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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class ScheduledTaskRow(Base):
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__tablename__ = "scheduled_tasks"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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user_id: Mapped[str] = mapped_column(String(64), index=True)
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thread_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
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context_mode: Mapped[str] = mapped_column(String(32), default="fresh_thread_per_run")
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assistant_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
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title: Mapped[str] = mapped_column(String(255))
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prompt: Mapped[str] = mapped_column(Text)
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schedule_type: Mapped[str] = mapped_column(String(16))
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schedule_spec: Mapped[dict] = mapped_column(JSON, default=dict)
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timezone: Mapped[str] = mapped_column(String(64))
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status: Mapped[str] = mapped_column(String(16), default="enabled", index=True)
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overlap_policy: Mapped[str] = mapped_column(String(16), default="enqueue")
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next_run_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True, nullable=True)
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last_run_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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last_run_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
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last_thread_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
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last_error: Mapped[str | None] = mapped_column(Text, nullable=True)
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lease_owner: Mapped[str | None] = mapped_column(String(128), nullable=True)
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lease_expires_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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run_count: Mapped[int] = mapped_column(Integer, default=0)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(UTC),
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onupdate=lambda: datetime.now(UTC),
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)
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