mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-05-07 01:08:25 +00:00
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).
125 lines
4.4 KiB
Python
125 lines
4.4 KiB
Python
"""Test configuration for the backend test suite.
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Sets up sys.path and pre-mocks modules that would cause circular import
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issues when unit-testing lightweight config/registry code in isolation.
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"""
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import importlib.util
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import sys
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from pathlib import Path
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from types import SimpleNamespace
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from unittest.mock import MagicMock
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import pytest
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# Make 'app' and 'deerflow' importable from any working directory
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sys.path.insert(0, str(Path(__file__).parent.parent))
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sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "scripts"))
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# Break the circular import chain that exists in production code:
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# deerflow.subagents.__init__
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# -> .executor (SubagentExecutor, SubagentResult)
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# -> deerflow.agents.thread_state
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# -> deerflow.agents.__init__
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# -> lead_agent.agent
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# -> subagent_limit_middleware
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# -> deerflow.subagents.executor <-- circular!
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#
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# By injecting a mock for deerflow.subagents.executor *before* any test module
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# triggers the import, __init__.py's "from .executor import ..." succeeds
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# immediately without running the real executor module.
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_executor_mock = MagicMock()
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_executor_mock.SubagentExecutor = MagicMock
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_executor_mock.SubagentResult = MagicMock
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_executor_mock.SubagentStatus = MagicMock
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_executor_mock.MAX_CONCURRENT_SUBAGENTS = 3
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_executor_mock.get_background_task_result = MagicMock()
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sys.modules["deerflow.subagents.executor"] = _executor_mock
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@pytest.fixture()
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def provisioner_module():
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"""Load docker/provisioner/app.py as an importable test module.
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Shared by test_provisioner_kubeconfig and test_provisioner_pvc_volumes so
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that any change to the provisioner entry-point path or module name only
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needs to be updated in one place.
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"""
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repo_root = Path(__file__).resolve().parents[2]
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module_path = repo_root / "docker" / "provisioner" / "app.py"
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spec = importlib.util.spec_from_file_location("provisioner_app_test", module_path)
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assert spec is not None
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assert spec.loader is not None
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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# ---------------------------------------------------------------------------
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# Auto-set user context for every test unless marked no_auto_user
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# ---------------------------------------------------------------------------
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#
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# Repository methods read ``user_id`` from a contextvar by default
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# (see ``deerflow.runtime.user_context``). Without this fixture, every
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# pre-existing persistence test would raise RuntimeError because the
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# contextvar is unset. The fixture sets a default test user on every
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# test; tests that explicitly want to verify behaviour *without* a user
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# context should mark themselves ``@pytest.mark.no_auto_user``.
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@pytest.fixture(autouse=True)
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def _auto_app_config_from_file(monkeypatch, request):
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"""Replace ``AppConfig.from_file`` with a minimal factory so tests that
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(directly or indirectly, e.g. via the LangGraph Server bootstrap path in
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``make_lead_agent``) load AppConfig from disk do not need a real
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``config.yaml`` on the filesystem.
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Tests that want to verify the real ``from_file`` behaviour should mark
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themselves with ``@pytest.mark.real_from_file``.
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"""
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if request.node.get_closest_marker("real_from_file"):
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yield
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return
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try:
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from deerflow.config.app_config import AppConfig
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from deerflow.config.sandbox_config import SandboxConfig
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except ImportError:
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yield
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return
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def _fake_from_file(config_path: str | None = None) -> AppConfig: # noqa: ARG001
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return AppConfig(sandbox=SandboxConfig(use="test"))
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monkeypatch.setattr(AppConfig, "from_file", _fake_from_file)
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yield
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@pytest.fixture(autouse=True)
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def _auto_user_context(request):
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"""Inject a default ``test-user-autouse`` into the contextvar.
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Opt-out via ``@pytest.mark.no_auto_user``. Uses lazy import so that
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tests which don't touch the persistence layer never pay the cost
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of importing runtime.user_context.
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"""
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if request.node.get_closest_marker("no_auto_user"):
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yield
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return
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try:
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from deerflow.runtime.user_context import (
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reset_current_user,
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set_current_user,
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)
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except ImportError:
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yield
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return
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user = SimpleNamespace(id="test-user-autouse", email="test@local")
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token = set_current_user(user)
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try:
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yield
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finally:
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reset_current_user(token)
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