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Finish Phase 2 of the config refactor: production code no longer calls AppConfig.current() anywhere. AppConfig now flows as an explicit parameter down every consumer lane. Call-site migrations -------------------- - Memory subsystem (queue/updater/storage): MemoryConfig captured at enqueue time so the Timer closure survives the ContextVar boundary. - Sandbox layer: tools.py, security.py, sandbox_provider.py, local_sandbox_provider, aio_sandbox_provider all take app_config explicitly. Module-level caching in tools.py's path helpers is removed — pure parameter flow. - Skills layer: manager.py + loader.py + lead_agent.prompt cache refresh all thread app_config; cache worker closes over it. - Community tools (tavily, jina, firecrawl, exa, ddg, image_search, infoquest, aio_sandbox): read runtime.context.app_config. - Subagents registry: get_subagent_config / list_subagents / get_available_subagent_names require app_config. - Runtime worker: requires RunContext.app_config; no fallback. - Gateway routers (uploads, skills): add Depends(get_config). - Channels feishu: uses AppConfig.from_file() (pure) at its sync boundary. - LangGraph Server bootstrap (make_lead_agent): falls back to AppConfig.from_file() — pure load, not ambient lookup. Context resolution ------------------ - resolve_context(runtime) now raises on non-DeerFlowContext runtime.context. Every entry point attaches typed context; dict/None shapes are rejected loudly instead of being papered over with an ambient AppConfig lookup. AppConfig lifecycle ------------------- - AppConfig.current() kept as a deprecated slot that raises RuntimeError, purely so legacy tests that still run `patch.object(AppConfig, "current")` don't trip AttributeError at teardown. Production never calls it. - conftest autouse fixture no longer monkey-patches `current` — it only stubs `from_file()` so tests don't need a real config.yaml. Design refs ----------- - docs/plans/2026-04-12-config-refactor-plan.md (Phase 2: P2-6..P2-10) - docs/plans/2026-04-12-config-refactor-design.md §8 All 2338 non-e2e tests pass. Zero AppConfig.current() call sites remain in backend/packages or backend/app (docstrings in deps.py excepted).
175 lines
6.4 KiB
Python
175 lines
6.4 KiB
Python
"""Sync checkpointer factory.
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Provides a **sync singleton** and a **sync context manager** for LangGraph
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graph compilation and CLI tools.
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Supported backends: memory, sqlite, postgres.
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Usage::
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from deerflow.runtime.checkpointer.provider import get_checkpointer, checkpointer_context
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# Singleton — reused across calls, closed on process exit
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cp = get_checkpointer()
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# One-shot — fresh connection, closed on block exit
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with checkpointer_context() as cp:
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graph.invoke(input, config={"configurable": {"thread_id": "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.types import Checkpointer
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from deerflow.config.app_config import AppConfig
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from deerflow.config.checkpointer_config import CheckpointerConfig
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from deerflow.runtime.store._sqlite_utils import resolve_sqlite_conn_str
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logger = logging.getLogger(__name__)
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# ---------------------------------------------------------------------------
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# Error message constants — imported by aio.provider too
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# ---------------------------------------------------------------------------
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SQLITE_INSTALL = "langgraph-checkpoint-sqlite is required for the SQLite checkpointer. Install it with: uv add langgraph-checkpoint-sqlite"
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POSTGRES_INSTALL = "langgraph-checkpoint-postgres is required for the PostgreSQL checkpointer. 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_checkpointer_cm(config: CheckpointerConfig) -> Iterator[Checkpointer]:
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"""Context manager that creates and tears down a sync checkpointer.
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Returns a configured ``Checkpointer`` instance. Resource cleanup for any
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underlying connections or pools is handled by higher-level helpers in
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this module (such as the singleton factory or context manager); this
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function does not return a separate cleanup callback.
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"""
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if config.type == "memory":
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from langgraph.checkpoint.memory import InMemorySaver
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logger.info("Checkpointer: using InMemorySaver (in-process, not persistent)")
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yield InMemorySaver()
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return
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if config.type == "sqlite":
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try:
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from langgraph.checkpoint.sqlite import SqliteSaver
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except ImportError as exc:
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raise ImportError(SQLITE_INSTALL) from exc
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conn_str = resolve_sqlite_conn_str(config.connection_string or "store.db")
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with SqliteSaver.from_conn_string(conn_str) as saver:
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saver.setup()
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logger.info("Checkpointer: using SqliteSaver (%s)", conn_str)
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yield saver
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return
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if config.type == "postgres":
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try:
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from langgraph.checkpoint.postgres import PostgresSaver
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except ImportError as exc:
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raise ImportError(POSTGRES_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 PostgresSaver.from_conn_string(config.connection_string) as saver:
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saver.setup()
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logger.info("Checkpointer: using PostgresSaver")
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yield saver
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return
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raise ValueError(f"Unknown checkpointer type: {config.type!r}")
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# ---------------------------------------------------------------------------
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# Sync singleton
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# ---------------------------------------------------------------------------
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_checkpointer: Checkpointer | None = None
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_checkpointer_ctx = None # open context manager keeping the connection alive
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def get_checkpointer(app_config: AppConfig) -> Checkpointer:
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"""Return the global sync checkpointer singleton, creating it on first call.
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Returns an ``InMemorySaver`` only when ``checkpointer`` is explicitly
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absent from config.yaml. Any other failure (missing config, invalid
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backend, connection error) propagates — silent degradation to in-memory
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would drop persistent-run state on process restart.
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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 _checkpointer, _checkpointer_ctx
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if _checkpointer is not None:
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return _checkpointer
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config = app_config.checkpointer
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if config is None:
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from langgraph.checkpoint.memory import InMemorySaver
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logger.info("Checkpointer: using InMemorySaver (in-process, not persistent)")
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_checkpointer = InMemorySaver()
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return _checkpointer
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_checkpointer_ctx = _sync_checkpointer_cm(config)
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_checkpointer = _checkpointer_ctx.__enter__()
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return _checkpointer
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def reset_checkpointer() -> 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 _checkpointer, _checkpointer_ctx
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if _checkpointer_ctx is not None:
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try:
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_checkpointer_ctx.__exit__(None, None, None)
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except Exception:
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logger.warning("Error during checkpointer cleanup", exc_info=True)
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_checkpointer_ctx = None
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_checkpointer = 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 checkpointer_context(app_config: AppConfig) -> Iterator[Checkpointer]:
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"""Sync context manager that yields a checkpointer and cleans up on exit.
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Unlike :func:`get_checkpointer`, this does **not** cache the instance —
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each ``with`` block creates and destroys its own connection. Use it in
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CLI scripts or tests where you want deterministic cleanup::
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with checkpointer_context(app_config) as cp:
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graph.invoke(input, config={"configurable": {"thread_id": "1"}})
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Yields an ``InMemorySaver`` when no 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.checkpoint.memory import InMemorySaver
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yield InMemorySaver()
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return
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with _sync_checkpointer_cm(app_config.checkpointer) as saver:
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yield saver
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