mirror of
https://github.com/bytedance/deer-flow.git
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5ffc2d3e27
* feat(mcp): add reliable task notifications and cancellation * feat(mcp): add background task chat UI * fix(mcp): hide and sanitize task notification prompts * fix(mcp): sanitize projected task names * fix(mcp): harden task notifications and details * fix(mcp): harden task lifecycle recovery * fix(mcp): gate task UI and isolate cancellations * test: scope plain-text response locator * fix(mcp): align task notification boundaries * fix(mcp): bound task delivery retries * fix background task notification races
77 lines
3.8 KiB
Python
77 lines
3.8 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 JSON, DateTime, Index, String, Text, 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 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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operation_kind: Mapped[str] = mapped_column(String(32), nullable=False, default="run", server_default=text("'run'"))
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idempotency_key: Mapped[str | None] = mapped_column(String(255), nullable=True)
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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(JSON, default=dict)
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kwargs_json: Mapped[dict] = mapped_column(JSON, default=dict)
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error: Mapped[str | None] = mapped_column(Text)
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stop_reason: Mapped[str | None] = mapped_column(String(50))
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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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token_usage_by_model: Mapped[dict] = mapped_column(JSON, default=dict, server_default=text("'{}'"))
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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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# Multi-worker run ownership
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owner_worker_id: 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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# A non-owning worker records cancellation here; the owner consumes it
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# while renewing its lease. The first action wins.
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cancel_action: Mapped[str | None] = mapped_column(String(20), nullable=True)
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cancel_requested_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(DateTime(timezone=True), 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_lease", "lease_expires_at"),
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Index("uq_runs_idempotency_key", "idempotency_key", unique=True),
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# Cross-process atomicity guarantee: at most one pending/running run per
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# thread. Must live in ORM ``__table_args__`` (not just the migration)
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# because the empty-DB bootstrap path runs ``create_all`` + ``stamp head``
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# and never executes the migration that also defines this index.
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Index(
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"uq_runs_thread_active",
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"thread_id",
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unique=True,
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sqlite_where=text("status IN ('pending', 'running')"),
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postgresql_where=text("status IN ('pending', 'running')"),
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),
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)
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