mirror of
https://github.com/bytedance/deer-flow.git
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3e6a34297d
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
179 lines
6.5 KiB
Python
179 lines
6.5 KiB
Python
"""Sync Store factory.
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Provides a **sync singleton** and a **sync context manager** for CLI tools
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and the embedded :class:`~deerflow.client.DeerFlowClient`.
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The backend mirrors the configured checkpointer so that both always use the
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same persistence technology. Supported backends: memory, sqlite, postgres.
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Usage::
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from deerflow.runtime.store.provider import get_store, store_context
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# Singleton — reused across calls, closed on process exit
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store = get_store()
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# One-shot — fresh connection, closed on block exit
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with store_context() as store:
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store.put(("ns",), "key", {"value": 1})
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"""
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from __future__ import annotations
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import contextlib
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import logging
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from collections.abc import Iterator
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from langgraph.store.base import BaseStore
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from deerflow.config.app_config import AppConfig
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from deerflow.runtime.store._sqlite_utils import ensure_sqlite_parent_dir, resolve_sqlite_conn_str
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logger = logging.getLogger(__name__)
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# ---------------------------------------------------------------------------
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# Error message constants
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# ---------------------------------------------------------------------------
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SQLITE_STORE_INSTALL = "langgraph-checkpoint-sqlite is required for the SQLite store. Install it with: uv add langgraph-checkpoint-sqlite"
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POSTGRES_STORE_INSTALL = "langgraph-checkpoint-postgres is required for the PostgreSQL store. Install it with: uv add langgraph-checkpoint-postgres psycopg[binary] psycopg-pool"
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POSTGRES_CONN_REQUIRED = "checkpointer.connection_string is required for the postgres backend"
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# ---------------------------------------------------------------------------
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# Sync factory
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# ---------------------------------------------------------------------------
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@contextlib.contextmanager
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def _sync_store_cm(config) -> Iterator[BaseStore]:
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"""Context manager that creates and tears down a sync Store.
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The ``config`` argument is a
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:class:`~deerflow.config.checkpointer_config.CheckpointerConfig` instance —
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the same object used by the checkpointer factory.
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"""
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if config.type == "memory":
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from langgraph.store.memory import InMemoryStore
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logger.info("Store: using InMemoryStore (in-process, not persistent)")
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yield InMemoryStore()
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return
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if config.type == "sqlite":
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try:
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from langgraph.store.sqlite import SqliteStore
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except ImportError as exc:
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raise ImportError(SQLITE_STORE_INSTALL) from exc
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conn_str = resolve_sqlite_conn_str(config.connection_string or "store.db")
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ensure_sqlite_parent_dir(conn_str)
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with SqliteStore.from_conn_string(conn_str) as store:
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store.setup()
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logger.info("Store: using SqliteStore (%s)", conn_str)
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yield store
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return
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if config.type == "postgres":
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try:
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from langgraph.store.postgres import PostgresStore # type: ignore[import]
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except ImportError as exc:
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raise ImportError(POSTGRES_STORE_INSTALL) from exc
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if not config.connection_string:
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raise ValueError(POSTGRES_CONN_REQUIRED)
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with PostgresStore.from_conn_string(config.connection_string) as store:
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store.setup()
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logger.info("Store: using PostgresStore")
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yield store
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return
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raise ValueError(f"Unknown store backend type: {config.type!r}")
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# ---------------------------------------------------------------------------
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# Sync singleton
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# ---------------------------------------------------------------------------
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_store: BaseStore | None = None
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_store_ctx = None # open context manager keeping the connection alive
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def get_store(app_config: AppConfig) -> BaseStore:
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"""Return the global sync Store singleton, creating it on first call.
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Returns an :class:`~langgraph.store.memory.InMemoryStore` when no
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checkpointer is configured in *config.yaml* (emits a WARNING in that case).
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Raises:
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ImportError: If the required package for the configured backend is not installed.
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ValueError: If ``connection_string`` is missing for a backend that requires it.
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"""
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global _store, _store_ctx
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if _store is not None:
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return _store
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# See matching comment in checkpointer/provider.py: a missing config.yaml
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# is a deployment error, not a cue to silently pick InMemoryStore. Only
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# the explicit "no checkpointer section" path falls through to memory.
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config = app_config.checkpointer
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if config is None:
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from langgraph.store.memory import InMemoryStore
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logger.warning("No 'checkpointer' section in config.yaml — using InMemoryStore for the store. Thread list will be lost on server restart. Configure a sqlite or postgres backend for persistence.")
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_store = InMemoryStore()
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return _store
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_store_ctx = _sync_store_cm(config)
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_store = _store_ctx.__enter__()
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return _store
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def reset_store() -> None:
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"""Reset the sync singleton, forcing recreation on the next call.
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Closes any open backend connections and clears the cached instance.
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Useful in tests or after a configuration change.
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"""
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global _store, _store_ctx
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if _store_ctx is not None:
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try:
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_store_ctx.__exit__(None, None, None)
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except Exception:
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logger.warning("Error during store cleanup", exc_info=True)
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_store_ctx = None
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_store = None
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# ---------------------------------------------------------------------------
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# Sync context manager
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# ---------------------------------------------------------------------------
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@contextlib.contextmanager
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def store_context(app_config: AppConfig) -> Iterator[BaseStore]:
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"""Sync context manager that yields a Store and cleans up on exit.
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Unlike :func:`get_store`, this does **not** cache the instance — each
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``with`` block creates and destroys its own connection. Use it in CLI
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scripts or tests where you want deterministic cleanup::
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with store_context(app_config) as store:
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store.put(("threads",), thread_id, {...})
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Yields an :class:`~langgraph.store.memory.InMemoryStore` when no
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checkpointer is configured in *config.yaml*.
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"""
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if app_config.checkpointer is None:
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from langgraph.store.memory import InMemoryStore
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logger.warning("No 'checkpointer' section in config.yaml — using InMemoryStore for the store. Thread list will be lost on server restart. Configure a sqlite or postgres backend for persistence.")
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yield InMemoryStore()
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return
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with _sync_store_cm(app_config.checkpointer) as store:
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yield store
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