chore: import upstream snapshot with attribution

tests/cli/test_config_cli.py

@@ -0,0 +1,65 @@
+"""CLI config command tests."""
+
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+from typer.testing import CliRunner
+
+from deeptutor_cli.main import app
+
+runner = CliRunner()
+
+
+def test_config_show_handles_missing_embedding(monkeypatch) -> None:
+    """CLI-only defaults skip embedding setup, so config show must not traceback."""
+    import deeptutor.services.config as config
+
+    monkeypatch.setattr(
+        config,
+        "load_system_settings",
+        lambda: {"backend_port": 8001, "frontend_port": 3782},
+    )
+    monkeypatch.setattr(
+        config,
+        "resolve_llm_runtime_config",
+        lambda: SimpleNamespace(
+            binding_hint="openai",
+            provider_name="openai",
+            provider_mode="standard",
+            model="gpt-4o-mini",
+            effective_url="https://api.openai.com/v1",
+            api_version=None,
+            extra_headers={},
+            api_key="",
+        ),
+    )
+
+    def _missing_embedding() -> None:
+        raise ValueError("No active embedding model is configured.")
+
+    monkeypatch.setattr(config, "resolve_embedding_runtime_config", _missing_embedding)
+    monkeypatch.setattr(
+        config,
+        "resolve_search_runtime_config",
+        lambda: SimpleNamespace(
+            provider="duckduckgo",
+            requested_provider="duckduckgo",
+            status="ok",
+            fallback_reason=None,
+            base_url="",
+            proxy=None,
+            api_key="",
+        ),
+    )
+    monkeypatch.setattr(
+        config,
+        "load_config_with_main",
+        lambda _name: {"system": {"language": "en"}, "tools": {}},
+    )
+
+    result = runner.invoke(app, ["config", "show"])
+
+    assert result.exit_code == 0, result.output
+    assert '"status": "not_configured"' in result.output
+    assert "No active embedding model is configured." in result.output