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https://github.com/bytedance/deer-flow.git
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edf345cd72
- 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
19 lines
768 B
Python
19 lines
768 B
Python
from types import SimpleNamespace
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import pytest
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from deerflow.config.app_config import AppConfig
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from deerflow.skills.security_scanner import scan_skill_content
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@pytest.mark.anyio
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async def test_scan_skill_content_blocks_when_model_unavailable(monkeypatch):
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config = SimpleNamespace(skill_evolution=SimpleNamespace(moderation_model_name=None))
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monkeypatch.setattr(AppConfig, "current", staticmethod(lambda: config))
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monkeypatch.setattr("deerflow.skills.security_scanner.create_chat_model", lambda **kwargs: (_ for _ in ()).throw(RuntimeError("boom")))
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result = await scan_skill_content("---\nname: demo-skill\ndescription: demo\n---\n", executable=False)
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assert result.decision == "block"
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assert "manual review required" in result.reason
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