deer-flow/backend/tests/test_app_config_reload.py
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

96 lines
3.2 KiB
Python

from __future__ import annotations
import json
from pathlib import Path
import pytest
import yaml
from deerflow.config.app_config import AppConfig
pytestmark = pytest.mark.real_from_file
def _write_config(path: Path, *, model_name: str, supports_thinking: bool) -> None:
path.write_text(
yaml.safe_dump(
{
"sandbox": {"use": "deerflow.sandbox.local:LocalSandboxProvider"},
"models": [
{
"name": model_name,
"use": "langchain_openai:ChatOpenAI",
"model": "gpt-test",
"supports_thinking": supports_thinking,
}
],
}
),
encoding="utf-8",
)
def _write_extensions_config(path: Path) -> None:
path.write_text(json.dumps({"mcpServers": {}, "skills": {}}), encoding="utf-8")
def test_from_file_reads_model_name(tmp_path, monkeypatch):
"""``AppConfig.from_file`` is the only lifecycle method now; there is no
process-global ``init/current``. Each consumer holds its own captured
AppConfig instance.
"""
config_path = tmp_path / "config.yaml"
extensions_path = tmp_path / "extensions_config.json"
_write_extensions_config(extensions_path)
_write_config(config_path, model_name="test-model", supports_thinking=False)
monkeypatch.setenv("DEER_FLOW_CONFIG_PATH", str(config_path))
monkeypatch.setenv("DEER_FLOW_EXTENSIONS_CONFIG_PATH", str(extensions_path))
config = AppConfig.from_file(str(config_path))
assert config.models[0].name == "test-model"
def test_from_file_each_call_returns_fresh_instance(tmp_path, monkeypatch):
"""Two reads of the same file produce separate AppConfig instances —
no hidden singleton, no memoization. Callers decide when to re-read.
"""
config_path = tmp_path / "config.yaml"
extensions_path = tmp_path / "extensions_config.json"
_write_extensions_config(extensions_path)
_write_config(config_path, model_name="model-a", supports_thinking=False)
monkeypatch.setenv("DEER_FLOW_CONFIG_PATH", str(config_path))
monkeypatch.setenv("DEER_FLOW_EXTENSIONS_CONFIG_PATH", str(extensions_path))
config_a = AppConfig.from_file(str(config_path))
assert config_a.models[0].name == "model-a"
_write_config(config_path, model_name="model-b", supports_thinking=True)
config_b = AppConfig.from_file(str(config_path))
assert config_b.models[0].name == "model-b"
assert config_a is not config_b
def test_config_version_check(tmp_path, monkeypatch):
config_path = tmp_path / "config.yaml"
extensions_path = tmp_path / "extensions_config.json"
_write_extensions_config(extensions_path)
config_path.write_text(
yaml.safe_dump(
{
"config_version": 1,
"sandbox": {"use": "deerflow.sandbox.local:LocalSandboxProvider"},
"models": [],
}
),
encoding="utf-8",
)
monkeypatch.setenv("DEER_FLOW_CONFIG_PATH", str(config_path))
monkeypatch.setenv("DEER_FLOW_EXTENSIONS_CONFIG_PATH", str(extensions_path))
config = AppConfig.from_file(str(config_path))
assert config is not None