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https://github.com/bytedance/deer-flow.git
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- Freeze all config models (AppConfig + 15 sub-configs) with frozen=True - Purify from_file() — remove 9 load_*_from_dict() side-effect calls - Replace mtime/reload/push/pop machinery with single ContextVar + init_app_config() - Delete 10 sub-module globals and their getters/setters/loaders - Migrate 50+ consumers from get_*_config() to get_app_config().xxx - Expand DeerFlowContext: app_config + thread_id + agent_name (frozen dataclass) - Wire into Gateway runtime (worker.py) and DeerFlowClient via context= parameter - Remove sandbox_id from runtime.context — flows through ThreadState.sandbox only - Middleware/tools access runtime.context directly via Runtime[DeerFlowContext] generic - resolve_context() retained at server entry points for LangGraph Server fallback
187 lines
7.0 KiB
Python
187 lines
7.0 KiB
Python
import importlib
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from types import SimpleNamespace
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import anyio
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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
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from deerflow.config.sandbox_config import SandboxConfig
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skill_manage_module = importlib.import_module("deerflow.tools.skill_manage_tool")
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def _make_context(thread_id: str) -> DeerFlowContext:
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return DeerFlowContext(
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app_config=AppConfig(sandbox=SandboxConfig(use="test")),
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thread_id=thread_id,
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)
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def _skill_content(name: str, description: str = "Demo skill") -> str:
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return f"---\nname: {name}\ndescription: {description}\n---\n\n# {name}\n"
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async def _async_result(decision: str, reason: str):
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from deerflow.skills.security_scanner import ScanResult
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return ScanResult(decision=decision, reason=reason)
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def test_skill_manage_create_and_patch(monkeypatch, tmp_path):
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skills_root = tmp_path / "skills"
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config = SimpleNamespace(
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skills=SimpleNamespace(get_skills_path=lambda: skills_root, container_path="/mnt/skills"),
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skill_evolution=SimpleNamespace(enabled=True, moderation_model_name=None),
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)
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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refresh_calls = []
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async def _refresh():
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refresh_calls.append("refresh")
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monkeypatch.setattr(skill_manage_module, "refresh_skills_system_prompt_cache_async", _refresh)
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monkeypatch.setattr(skill_manage_module, "scan_skill_content", lambda *args, **kwargs: _async_result("allow", "ok"))
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runtime = SimpleNamespace(context=_make_context("thread-1"), config={"configurable": {"thread_id": "thread-1"}})
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result = anyio.run(
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skill_manage_module.skill_manage_tool.coroutine,
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runtime,
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"create",
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"demo-skill",
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_skill_content("demo-skill"),
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)
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assert "Created custom skill" in result
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patch_result = anyio.run(
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skill_manage_module.skill_manage_tool.coroutine,
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runtime,
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"patch",
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"demo-skill",
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None,
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None,
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"Demo skill",
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"Patched skill",
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1,
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)
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assert "Patched custom skill" in patch_result
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assert "Patched skill" in (skills_root / "custom" / "demo-skill" / "SKILL.md").read_text(encoding="utf-8")
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assert refresh_calls == ["refresh", "refresh"]
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def test_skill_manage_patch_replaces_single_occurrence_by_default(monkeypatch, tmp_path):
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skills_root = tmp_path / "skills"
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config = SimpleNamespace(
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skills=SimpleNamespace(get_skills_path=lambda: skills_root, container_path="/mnt/skills"),
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skill_evolution=SimpleNamespace(enabled=True, moderation_model_name=None),
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)
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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async def _refresh():
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return None
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monkeypatch.setattr(skill_manage_module, "refresh_skills_system_prompt_cache_async", _refresh)
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monkeypatch.setattr(skill_manage_module, "scan_skill_content", lambda *args, **kwargs: _async_result("allow", "ok"))
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runtime = SimpleNamespace(context=_make_context("thread-1"), config={"configurable": {"thread_id": "thread-1"}})
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content = _skill_content("demo-skill", "Demo skill") + "\nRepeated: Demo skill\n"
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anyio.run(skill_manage_module.skill_manage_tool.coroutine, runtime, "create", "demo-skill", content)
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patch_result = anyio.run(
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skill_manage_module.skill_manage_tool.coroutine,
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runtime,
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"patch",
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"demo-skill",
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None,
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None,
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"Demo skill",
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"Patched skill",
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)
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skill_text = (skills_root / "custom" / "demo-skill" / "SKILL.md").read_text(encoding="utf-8")
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assert "1 replacement(s) applied, 2 match(es) found" in patch_result
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assert skill_text.count("Patched skill") == 1
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assert skill_text.count("Demo skill") == 1
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def test_skill_manage_rejects_public_skill_patch(monkeypatch, tmp_path):
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skills_root = tmp_path / "skills"
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public_dir = skills_root / "public" / "deep-research"
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public_dir.mkdir(parents=True, exist_ok=True)
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(public_dir / "SKILL.md").write_text(_skill_content("deep-research"), encoding="utf-8")
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config = SimpleNamespace(
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skills=SimpleNamespace(get_skills_path=lambda: skills_root, container_path="/mnt/skills"),
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skill_evolution=SimpleNamespace(enabled=True, moderation_model_name=None),
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)
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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runtime = SimpleNamespace(context=_make_context(""), config={"configurable": {}})
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with pytest.raises(ValueError, match="built-in skill"):
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anyio.run(
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skill_manage_module.skill_manage_tool.coroutine,
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runtime,
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"patch",
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"deep-research",
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None,
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None,
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"Demo skill",
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"Patched",
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)
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def test_skill_manage_sync_wrapper_supported(monkeypatch, tmp_path):
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skills_root = tmp_path / "skills"
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config = SimpleNamespace(
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skills=SimpleNamespace(get_skills_path=lambda: skills_root, container_path="/mnt/skills"),
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skill_evolution=SimpleNamespace(enabled=True, moderation_model_name=None),
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)
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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refresh_calls = []
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async def _refresh():
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refresh_calls.append("refresh")
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monkeypatch.setattr(skill_manage_module, "refresh_skills_system_prompt_cache_async", _refresh)
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monkeypatch.setattr(skill_manage_module, "scan_skill_content", lambda *args, **kwargs: _async_result("allow", "ok"))
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runtime = SimpleNamespace(context=_make_context("thread-sync"), config={"configurable": {"thread_id": "thread-sync"}})
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result = skill_manage_module.skill_manage_tool.func(
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runtime=runtime,
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action="create",
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name="sync-skill",
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content=_skill_content("sync-skill"),
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)
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assert "Created custom skill" in result
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assert refresh_calls == ["refresh"]
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def test_skill_manage_rejects_support_path_traversal(monkeypatch, tmp_path):
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skills_root = tmp_path / "skills"
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config = SimpleNamespace(
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skills=SimpleNamespace(get_skills_path=lambda: skills_root, container_path="/mnt/skills"),
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skill_evolution=SimpleNamespace(enabled=True, moderation_model_name=None),
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)
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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async def _refresh():
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return None
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monkeypatch.setattr(skill_manage_module, "refresh_skills_system_prompt_cache_async", _refresh)
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monkeypatch.setattr(skill_manage_module, "scan_skill_content", lambda *args, **kwargs: _async_result("allow", "ok"))
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runtime = SimpleNamespace(context=_make_context("thread-1"), config={"configurable": {"thread_id": "thread-1"}})
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anyio.run(skill_manage_module.skill_manage_tool.coroutine, runtime, "create", "demo-skill", _skill_content("demo-skill"))
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with pytest.raises(ValueError, match="parent-directory traversal|selected support directory"):
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anyio.run(
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skill_manage_module.skill_manage_tool.coroutine,
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runtime,
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"write_file",
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"demo-skill",
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"malicious overwrite",
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"references/../SKILL.md",
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)
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