Files
deer-flow/backend/packages/harness/deerflow/persistence/thread_meta/memory.py
T
greatmengqi 3e6a34297d refactor(config): eliminate global mutable state — explicit parameter passing on top of main
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).
2026-04-26 21:45:02 +08:00

150 lines
5.6 KiB
Python

"""In-memory ThreadMetaStore backed by LangGraph BaseStore.
Used when database.backend=memory. Delegates to the LangGraph Store's
``("threads",)`` namespace — the same namespace used by the Gateway
router for thread records.
"""
from __future__ import annotations
import time
from typing import Any
from langgraph.store.base import BaseStore
from deerflow.persistence.thread_meta.base import ThreadMetaStore
from deerflow.runtime.user_context import AUTO, _AutoSentinel, resolve_user_id
THREADS_NS: tuple[str, ...] = ("threads",)
class MemoryThreadMetaStore(ThreadMetaStore):
def __init__(self, store: BaseStore) -> None:
self._store = store
async def _get_owned_record(
self,
thread_id: str,
user_id: str | None | _AutoSentinel,
method_name: str,
) -> dict | None:
"""Fetch a record and verify ownership. Returns a mutable copy, or None."""
resolved = resolve_user_id(user_id, method_name=method_name)
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return None
record = dict(item.value)
if resolved is not None and record.get("user_id") != resolved:
return None
return record
async def create(
self,
thread_id: str,
*,
assistant_id: str | None = None,
user_id: str | None | _AutoSentinel = AUTO,
display_name: str | None = None,
metadata: dict | None = None,
) -> dict:
resolved_user_id = resolve_user_id(user_id, method_name="MemoryThreadMetaStore.create")
now = time.time()
record: dict[str, Any] = {
"thread_id": thread_id,
"assistant_id": assistant_id,
"user_id": resolved_user_id,
"display_name": display_name,
"status": "idle",
"metadata": metadata or {},
"values": {},
"created_at": now,
"updated_at": now,
}
await self._store.aput(THREADS_NS, thread_id, record)
return record
async def get(self, thread_id: str, *, user_id: str | None | _AutoSentinel = AUTO) -> dict | None:
return await self._get_owned_record(thread_id, user_id, "MemoryThreadMetaStore.get")
async def search(
self,
*,
metadata: dict | None = None,
status: str | None = None,
limit: int = 100,
offset: int = 0,
user_id: str | None | _AutoSentinel = AUTO,
) -> list[dict]:
resolved_user_id = resolve_user_id(user_id, method_name="MemoryThreadMetaStore.search")
filter_dict: dict[str, Any] = {}
if metadata:
filter_dict.update(metadata)
if status:
filter_dict["status"] = status
if resolved_user_id is not None:
filter_dict["user_id"] = resolved_user_id
items = await self._store.asearch(
THREADS_NS,
filter=filter_dict or None,
limit=limit,
offset=offset,
)
return [self._item_to_dict(item) for item in items]
async def check_access(self, thread_id: str, user_id: str, *, require_existing: bool = False) -> bool:
item = await self._store.aget(THREADS_NS, thread_id)
if item is None:
return not require_existing
record_user_id = item.value.get("user_id")
if record_user_id is None:
return True
return record_user_id == user_id
async def update_display_name(self, thread_id: str, display_name: str, *, user_id: str | None | _AutoSentinel = AUTO) -> None:
record = await self._get_owned_record(thread_id, user_id, "MemoryThreadMetaStore.update_display_name")
if record is None:
return
record["display_name"] = display_name
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_status(self, thread_id: str, status: str, *, user_id: str | None | _AutoSentinel = AUTO) -> None:
record = await self._get_owned_record(thread_id, user_id, "MemoryThreadMetaStore.update_status")
if record is None:
return
record["status"] = status
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def update_metadata(self, thread_id: str, metadata: dict, *, user_id: str | None | _AutoSentinel = AUTO) -> None:
record = await self._get_owned_record(thread_id, user_id, "MemoryThreadMetaStore.update_metadata")
if record is None:
return
merged = dict(record.get("metadata") or {})
merged.update(metadata)
record["metadata"] = merged
record["updated_at"] = time.time()
await self._store.aput(THREADS_NS, thread_id, record)
async def delete(self, thread_id: str, *, user_id: str | None | _AutoSentinel = AUTO) -> None:
record = await self._get_owned_record(thread_id, user_id, "MemoryThreadMetaStore.delete")
if record is None:
return
await self._store.adelete(THREADS_NS, thread_id)
@staticmethod
def _item_to_dict(item) -> dict[str, Any]:
"""Convert a Store SearchItem to the dict format expected by callers."""
val = item.value
return {
"thread_id": item.key,
"assistant_id": val.get("assistant_id"),
"user_id": val.get("user_id"),
"display_name": val.get("display_name"),
"status": val.get("status", "idle"),
"metadata": val.get("metadata", {}),
"created_at": str(val.get("created_at", "")),
"updated_at": str(val.get("updated_at", "")),
}