mirror of
https://github.com/bytedance/deer-flow.git
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rayhpeng
1ff6b5f7ab
Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
"""Abstract interface for run metadata storage.
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RunManager depends on this interface. Implementations:
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- MemoryRunStore: in-memory dict (development, tests)
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- Future: RunRepository backed by SQLAlchemy ORM
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All methods accept an optional owner_id for user isolation.
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When owner_id is None, no user filtering is applied (single-user mode).
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"""
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from __future__ import annotations
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import abc
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from typing import Any
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class RunStore(abc.ABC):
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@abc.abstractmethod
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async def put(
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self,
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run_id: str,
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*,
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thread_id: str,
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assistant_id: str | None = None,
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owner_id: str | None = None,
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status: str = "pending",
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multitask_strategy: str = "reject",
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metadata: dict[str, Any] | None = None,
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kwargs: dict[str, Any] | None = None,
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error: str | None = None,
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created_at: str | None = None,
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) -> None: ...
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@abc.abstractmethod
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async def get(self, run_id: str) -> dict[str, Any] | None: ...
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@abc.abstractmethod
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async def list_by_thread(
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self,
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thread_id: str,
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*,
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owner_id: str | None = None,
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limit: int = 100,
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) -> list[dict[str, Any]]: ...
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@abc.abstractmethod
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async def update_status(
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self,
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run_id: str,
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status: str,
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*,
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error: str | None = None,
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) -> None: ...
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@abc.abstractmethod
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async def delete(self, run_id: str) -> None: ...
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@abc.abstractmethod
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async def list_pending(self, *, before: str | None = None) -> list[dict[str, Any]]: ...
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