Files
deer-flow/backend/packages/harness/deerflow/runtime/store/provider.py
T
greatmengqi edf345cd72 refactor(config): eliminate global mutable state, wire DeerFlowContext into runtime
- Freeze all config models (AppConfig + 15 sub-configs) with frozen=True
- Purify from_file() — remove 9 load_*_from_dict() side-effect calls
- Replace mtime/reload/push/pop machinery with single ContextVar + init_app_config()
- Delete 10 sub-module globals and their getters/setters/loaders
- Migrate 50+ consumers from get_*_config() to get_app_config().xxx

- Expand DeerFlowContext: app_config + thread_id + agent_name (frozen dataclass)
- Wire into Gateway runtime (worker.py) and DeerFlowClient via context= parameter
- Remove sandbox_id from runtime.context — flows through ThreadState.sandbox only
- Middleware/tools access runtime.context directly via Runtime[DeerFlowContext] generic
- resolve_context() retained at server entry points for LangGraph Server fallback
2026-04-14 01:18:19 +08:00

180 lines
6.3 KiB
Python

"""Sync Store factory.
Provides a **sync singleton** and a **sync context manager** for CLI tools
and the embedded :class:`~deerflow.client.DeerFlowClient`.
The backend mirrors the configured checkpointer so that both always use the
same persistence technology. Supported backends: memory, sqlite, postgres.
Usage::
from deerflow.runtime.store.provider import get_store, store_context
# Singleton — reused across calls, closed on process exit
store = get_store()
# One-shot — fresh connection, closed on block exit
with store_context() as store:
store.put(("ns",), "key", {"value": 1})
"""
from __future__ import annotations
import contextlib
import logging
from collections.abc import Iterator
from langgraph.store.base import BaseStore
from deerflow.config.app_config import AppConfig
from deerflow.runtime.store._sqlite_utils import ensure_sqlite_parent_dir, resolve_sqlite_conn_str
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Error message constants
# ---------------------------------------------------------------------------
SQLITE_STORE_INSTALL = "langgraph-checkpoint-sqlite is required for the SQLite store. Install it with: uv add langgraph-checkpoint-sqlite"
POSTGRES_STORE_INSTALL = "langgraph-checkpoint-postgres is required for the PostgreSQL store. Install it with: uv add langgraph-checkpoint-postgres psycopg[binary] psycopg-pool"
POSTGRES_CONN_REQUIRED = "checkpointer.connection_string is required for the postgres backend"
# ---------------------------------------------------------------------------
# Sync factory
# ---------------------------------------------------------------------------
@contextlib.contextmanager
def _sync_store_cm(config) -> Iterator[BaseStore]:
"""Context manager that creates and tears down a sync Store.
The ``config`` argument is a
:class:`~deerflow.config.checkpointer_config.CheckpointerConfig` instance —
the same object used by the checkpointer factory.
"""
if config.type == "memory":
from langgraph.store.memory import InMemoryStore
logger.info("Store: using InMemoryStore (in-process, not persistent)")
yield InMemoryStore()
return
if config.type == "sqlite":
try:
from langgraph.store.sqlite import SqliteStore
except ImportError as exc:
raise ImportError(SQLITE_STORE_INSTALL) from exc
conn_str = resolve_sqlite_conn_str(config.connection_string or "store.db")
ensure_sqlite_parent_dir(conn_str)
with SqliteStore.from_conn_string(conn_str) as store:
store.setup()
logger.info("Store: using SqliteStore (%s)", conn_str)
yield store
return
if config.type == "postgres":
try:
from langgraph.store.postgres import PostgresStore # type: ignore[import]
except ImportError as exc:
raise ImportError(POSTGRES_STORE_INSTALL) from exc
if not config.connection_string:
raise ValueError(POSTGRES_CONN_REQUIRED)
with PostgresStore.from_conn_string(config.connection_string) as store:
store.setup()
logger.info("Store: using PostgresStore")
yield store
return
raise ValueError(f"Unknown store backend type: {config.type!r}")
# ---------------------------------------------------------------------------
# Sync singleton
# ---------------------------------------------------------------------------
_store: BaseStore | None = None
_store_ctx = None # open context manager keeping the connection alive
def get_store() -> BaseStore:
"""Return the global sync Store singleton, creating it on first call.
Returns an :class:`~langgraph.store.memory.InMemoryStore` when no
checkpointer is configured in *config.yaml* (emits a WARNING in that case).
Raises:
ImportError: If the required package for the configured backend is not installed.
ValueError: If ``connection_string`` is missing for a backend that requires it.
"""
global _store, _store_ctx
if _store is not None:
return _store
try:
config = AppConfig.current().checkpointer
except (LookupError, FileNotFoundError):
config = None
if config is None:
from langgraph.store.memory import InMemoryStore
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.")
_store = InMemoryStore()
return _store
_store_ctx = _sync_store_cm(config)
_store = _store_ctx.__enter__()
return _store
def reset_store() -> None:
"""Reset the sync singleton, forcing recreation on the next call.
Closes any open backend connections and clears the cached instance.
Useful in tests or after a configuration change.
"""
global _store, _store_ctx
if _store_ctx is not None:
try:
_store_ctx.__exit__(None, None, None)
except Exception:
logger.warning("Error during store cleanup", exc_info=True)
_store_ctx = None
_store = None
# ---------------------------------------------------------------------------
# Sync context manager
# ---------------------------------------------------------------------------
@contextlib.contextmanager
def store_context() -> Iterator[BaseStore]:
"""Sync context manager that yields a Store and cleans up on exit.
Unlike :func:`get_store`, this does **not** cache the instance — each
``with`` block creates and destroys its own connection. Use it in CLI
scripts or tests where you want deterministic cleanup::
with store_context() as store:
store.put(("threads",), thread_id, {...})
Yields an :class:`~langgraph.store.memory.InMemoryStore` when no
checkpointer is configured in *config.yaml*.
"""
config = AppConfig.current()
if config.checkpointer is None:
from langgraph.store.memory import InMemoryStore
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.")
yield InMemoryStore()
return
with _sync_store_cm(config.checkpointer) as store:
yield store