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https://github.com/bytedance/deer-flow.git
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e9387394bc
* feat(mcp): add durable task runtime foundation * fix(chart): sync embedded config version * fix(mcp): isolate task polls during shutdown * feat(mcp): track consecutive poll errors on mcp_tasks poll_attempt_count grows on every claim (successful polls included), so it cannot drive a failure backoff without misjudging normal long tasks. Add consecutive_poll_error_count: incremented when a claim is released after a poll error, reset to zero by any applied snapshot. The backoff/terminal policy that consumes it lands with the first concrete driver. * fix(mcp): harden durable task lifecycle * fix(mcp): preserve tracked task on dedup conflict --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
56 lines
2.8 KiB
Python
56 lines
2.8 KiB
Python
from __future__ import annotations
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from datetime import UTC, datetime
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from typing import Any
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from sqlalchemy import JSON, DateTime, Index, Integer, String, Text, UniqueConstraint
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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 McpTaskRow(Base):
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__tablename__ = "mcp_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] = mapped_column(String(64), index=True)
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run_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
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tool_call_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
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server_name: Mapped[str] = mapped_column(String(128))
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driver_name: Mapped[str] = mapped_column(String(64))
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remote_task_id: Mapped[str] = mapped_column(String(255))
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task_name: Mapped[str] = mapped_column(String(255))
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status: Mapped[str] = mapped_column(String(32), index=True)
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result: Mapped[Any | None] = mapped_column(JSON, nullable=True)
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error: Mapped[str | None] = mapped_column(Text, nullable=True)
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input_required: Mapped[dict[str, Any] | None] = mapped_column(JSON, nullable=True)
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driver_data: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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notification_status: Mapped[str] = mapped_column(String(16), default="none", index=True)
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next_poll_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True, nullable=True)
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last_polled_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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last_poll_error: Mapped[str | None] = mapped_column(Text, nullable=True)
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poll_attempt_count: Mapped[int] = mapped_column(Integer, default=0)
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consecutive_poll_error_count: Mapped[int] = mapped_column(Integer, default=0)
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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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cancel_requested_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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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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__table_args__ = (
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UniqueConstraint(
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"user_id",
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"server_name",
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"remote_task_id",
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name="uq_mcp_tasks_user_server_remote",
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),
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Index("ix_mcp_tasks_thread_created", "thread_id", "created_at"),
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Index("ix_mcp_tasks_due", "status", "next_poll_at"),
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)
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