greatmengqi
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).
112 lines
4.1 KiB
Python
112 lines
4.1 KiB
Python
"""Async Store factory — backend mirrors the configured checkpointer.
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The store and checkpointer share the same ``checkpointer`` section in
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*config.yaml* so they always use the same persistence backend:
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- ``type: memory`` → :class:`langgraph.store.memory.InMemoryStore`
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- ``type: sqlite`` → :class:`langgraph.store.sqlite.aio.AsyncSqliteStore`
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- ``type: postgres`` → :class:`langgraph.store.postgres.aio.AsyncPostgresStore`
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Usage (e.g. FastAPI lifespan)::
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from deerflow.runtime.store import make_store
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async with make_store() as store:
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app.state.store = store
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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 AsyncIterator
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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.provider import POSTGRES_CONN_REQUIRED, POSTGRES_STORE_INSTALL, SQLITE_STORE_INSTALL, ensure_sqlite_parent_dir, resolve_sqlite_conn_str
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logger = logging.getLogger(__name__)
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# ---------------------------------------------------------------------------
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# Internal backend factory
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# ---------------------------------------------------------------------------
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@contextlib.asynccontextmanager
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async def _async_store(config) -> AsyncIterator[BaseStore]:
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"""Async context manager that constructs and tears down a Store.
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The ``config`` argument is a :class:`deerflow.config.checkpointer_config.CheckpointerConfig`
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instance — 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.aio import AsyncSqliteStore
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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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async with AsyncSqliteStore.from_conn_string(conn_str) as store:
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await store.setup()
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logger.info("Store: using AsyncSqliteStore (%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.aio import AsyncPostgresStore # 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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async with AsyncPostgresStore.from_conn_string(config.connection_string) as store:
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await store.setup()
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logger.info("Store: using AsyncPostgresStore")
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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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# Public async context manager
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# ---------------------------------------------------------------------------
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@contextlib.asynccontextmanager
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async def make_store(app_config: AppConfig) -> AsyncIterator[BaseStore]:
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"""Async context manager that yields a Store whose backend matches the
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configured checkpointer.
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Reads from the same ``checkpointer`` section of *config.yaml* used by
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:func:`deerflow.runtime.checkpointer.async_provider.make_checkpointer` so
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that both singletons always use the same persistence technology::
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async with make_store(app_config) as store:
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app.state.store = store
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Yields an :class:`~langgraph.store.memory.InMemoryStore` when no
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``checkpointer`` section is configured (emits a WARNING in that case).
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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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async with _async_store(app_config.checkpointer) as store:
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yield store
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