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https://github.com/bytedance/deer-flow.git
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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).
63 lines
2.4 KiB
Python
63 lines
2.4 KiB
Python
"""Tests for DeerFlowContext and resolve_context()."""
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from dataclasses import FrozenInstanceError
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from unittest.mock import MagicMock, patch
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import pytest
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from deerflow.config.app_config import AppConfig
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from deerflow.config.deer_flow_context import DeerFlowContext, resolve_context
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from deerflow.config.sandbox_config import SandboxConfig
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def _make_config(**overrides) -> AppConfig:
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defaults = {"sandbox": SandboxConfig(use="test")}
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defaults.update(overrides)
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return AppConfig(**defaults)
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class TestDeerFlowContext:
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def test_frozen(self):
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ctx = DeerFlowContext(app_config=_make_config(), thread_id="t1")
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with pytest.raises(FrozenInstanceError):
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ctx.app_config = _make_config()
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def test_fields(self):
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config = _make_config()
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ctx = DeerFlowContext(app_config=config, thread_id="t1", agent_name="test-agent")
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assert ctx.thread_id == "t1"
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assert ctx.agent_name == "test-agent"
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assert ctx.app_config is config
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def test_agent_name_default(self):
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ctx = DeerFlowContext(app_config=_make_config(), thread_id="t1")
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assert ctx.agent_name is None
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def test_thread_id_required(self):
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with pytest.raises(TypeError):
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DeerFlowContext(app_config=_make_config()) # type: ignore[call-arg]
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class TestResolveContext:
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def test_returns_typed_context_directly(self):
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"""Gateway/Client path: runtime.context is DeerFlowContext → return as-is."""
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config = _make_config()
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ctx = DeerFlowContext(app_config=config, thread_id="t1")
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runtime = MagicMock()
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runtime.context = ctx
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assert resolve_context(runtime) is ctx
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def test_raises_on_none_context(self):
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"""Without a typed DeerFlowContext, resolve_context refuses to guess."""
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runtime = MagicMock()
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runtime.context = None
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with pytest.raises(RuntimeError, match="resolve_context: runtime.context is not a DeerFlowContext"):
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resolve_context(runtime)
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def test_raises_on_dict_context(self):
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"""Legacy dict shape is no longer supported — we raise instead of lazily loading AppConfig."""
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runtime = MagicMock()
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runtime.context = {"thread_id": "old-dict", "agent_name": "from-dict"}
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with pytest.raises(RuntimeError, match="resolve_context: runtime.context is not a DeerFlowContext"):
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resolve_context(runtime)
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