mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-05-24 00:45:57 +00:00
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).
This commit is contained in:
@@ -8,6 +8,7 @@ frames, and consuming stream bridge events. Router modules
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from __future__ import annotations
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import asyncio
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import dataclasses
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import json
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import logging
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import re
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@@ -18,7 +19,8 @@ from typing import Any
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from fastapi import HTTPException, Request
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from langchain_core.messages import HumanMessage
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from app.gateway.deps import get_checkpointer, get_run_manager, get_store, get_stream_bridge
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from app.gateway.deps import get_run_context, get_run_manager, get_run_store, get_stream_bridge
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from app.gateway.utils import sanitize_log_param
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from deerflow.runtime import (
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END_SENTINEL,
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HEARTBEAT_SENTINEL,
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@@ -188,71 +190,6 @@ def build_run_config(
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# ---------------------------------------------------------------------------
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async def _upsert_thread_in_store(store, thread_id: str, metadata: dict | None) -> None:
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"""Create or refresh the thread record in the Store.
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Called from :func:`start_run` so that threads created via the stateless
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``/runs/stream`` endpoint (which never calls ``POST /threads``) still
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appear in ``/threads/search`` results.
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"""
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# Deferred import to avoid circular import with the threads router module.
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from app.gateway.routers.threads import _store_upsert
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try:
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await _store_upsert(store, thread_id, metadata=metadata)
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except Exception:
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logger.warning("Failed to upsert thread %s in store (non-fatal)", thread_id)
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async def _sync_thread_title_after_run(
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run_task: asyncio.Task,
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thread_id: str,
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checkpointer: Any,
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store: Any,
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) -> None:
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"""Wait for *run_task* to finish, then persist the generated title to the Store.
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TitleMiddleware writes the generated title to the LangGraph agent state
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(checkpointer) but the Gateway's Store record is not updated automatically.
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This coroutine closes that gap by reading the final checkpoint after the
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run completes and syncing ``values.title`` into the Store record so that
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subsequent ``/threads/search`` responses include the correct title.
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Runs as a fire-and-forget :func:`asyncio.create_task`; failures are
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logged at DEBUG level and never propagate.
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"""
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# Wait for the background run task to complete (any outcome).
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# asyncio.wait does not propagate task exceptions — it just returns
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# when the task is done, cancelled, or failed.
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await asyncio.wait({run_task})
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# Deferred import to avoid circular import with the threads router module.
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from app.gateway.routers.threads import _store_get, _store_put
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try:
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ckpt_config = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
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ckpt_tuple = await checkpointer.aget_tuple(ckpt_config)
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if ckpt_tuple is None:
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return
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channel_values = ckpt_tuple.checkpoint.get("channel_values", {})
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title = channel_values.get("title")
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if not title:
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return
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existing = await _store_get(store, thread_id)
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if existing is None:
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return
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updated = dict(existing)
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updated.setdefault("values", {})["title"] = title
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updated["updated_at"] = time.time()
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await _store_put(store, updated)
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logger.debug("Synced title %r for thread %s", title, thread_id)
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except Exception:
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logger.debug("Failed to sync title for thread %s (non-fatal)", thread_id, exc_info=True)
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async def start_run(
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body: Any,
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thread_id: str,
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@@ -272,11 +209,25 @@ async def start_run(
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"""
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bridge = get_stream_bridge(request)
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run_mgr = get_run_manager(request)
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checkpointer = get_checkpointer(request)
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store = get_store(request)
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run_ctx = get_run_context(request)
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disconnect = DisconnectMode.cancel if body.on_disconnect == "cancel" else DisconnectMode.continue_
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# Resolve follow_up_to_run_id: explicit from request, or auto-detect from latest successful run
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follow_up_to_run_id = getattr(body, "follow_up_to_run_id", None)
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if follow_up_to_run_id is None:
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run_store = get_run_store(request)
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try:
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recent_runs = await run_store.list_by_thread(thread_id, limit=1)
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if recent_runs and recent_runs[0].get("status") == "success":
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follow_up_to_run_id = recent_runs[0]["run_id"]
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except Exception:
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pass # Don't block run creation
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# Enrich base context with per-run field
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if follow_up_to_run_id:
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run_ctx = dataclasses.replace(run_ctx, follow_up_to_run_id=follow_up_to_run_id)
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try:
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record = await run_mgr.create_or_reject(
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thread_id,
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@@ -285,17 +236,28 @@ async def start_run(
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metadata=body.metadata or {},
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kwargs={"input": body.input, "config": body.config},
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multitask_strategy=body.multitask_strategy,
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follow_up_to_run_id=follow_up_to_run_id,
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)
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except ConflictError as exc:
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raise HTTPException(status_code=409, detail=str(exc)) from exc
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except UnsupportedStrategyError as exc:
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raise HTTPException(status_code=501, detail=str(exc)) from exc
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# Ensure the thread is visible in /threads/search, even for threads that
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# were never explicitly created via POST /threads (e.g. stateless runs).
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store = get_store(request)
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if store is not None:
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await _upsert_thread_in_store(store, thread_id, body.metadata)
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# Upsert thread metadata so the thread appears in /threads/search,
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# even for threads that were never explicitly created via POST /threads
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# (e.g. stateless runs).
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try:
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existing = await run_ctx.thread_store.get(thread_id)
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if existing is None:
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await run_ctx.thread_store.create(
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thread_id,
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assistant_id=body.assistant_id,
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metadata=body.metadata,
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)
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else:
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await run_ctx.thread_store.update_status(thread_id, "running")
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except Exception:
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logger.warning("Failed to upsert thread_meta for %s (non-fatal)", sanitize_log_param(thread_id))
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agent_factory = resolve_agent_factory(body.assistant_id)
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graph_input = normalize_input(body.input)
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@@ -330,8 +292,7 @@ async def start_run(
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bridge,
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run_mgr,
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record,
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checkpointer=checkpointer,
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store=store,
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ctx=run_ctx,
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agent_factory=agent_factory,
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graph_input=graph_input,
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config=config,
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@@ -343,11 +304,9 @@ async def start_run(
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)
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record.task = task
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# After the run completes, sync the title generated by TitleMiddleware from
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# the checkpointer into the Store record so that /threads/search returns the
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# correct title instead of an empty values dict.
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if store is not None:
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asyncio.create_task(_sync_thread_title_after_run(task, thread_id, checkpointer, store))
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# Title sync is handled by worker.py's finally block which reads the
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# title from the checkpoint and calls thread_store.update_display_name
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# after the run completes.
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return record
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