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tests: improve RAGFlow coverage based on Codecov report (#13200)
### What problem does this PR solve? Codecov’s coverage report shows that several RAGFlow code paths are currently untested or under-tested. This makes it easier for regressions to slip in during refactors and feature work. This PR adds targeted automated tests to cover the files and branches highlighted by Codecov, improving confidence in core behavior while keeping runtime functionality unchanged. ### Type of change - [x] Other (please describe): Test coverage improvement (adds/extends unit and integration tests to address Codecov-reported gaps)
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@@ -13,6 +13,11 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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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 ModuleType
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import pytest
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from common import plugin_llm_tools
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from configs import INVALID_API_TOKEN
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@@ -40,3 +45,54 @@ class TestPluginTools:
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res = plugin_llm_tools(WebApiAuth)
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assert res["code"] == 0, res
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assert isinstance(res["data"], list), res
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class _DummyManager:
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def route(self, *_args, **_kwargs):
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def decorator(func):
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return func
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return decorator
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def _load_plugin_app(monkeypatch):
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repo_root = Path(__file__).resolve().parents[4]
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common_pkg = ModuleType("common")
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common_pkg.__path__ = [str(repo_root / "common")]
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monkeypatch.setitem(sys.modules, "common", common_pkg)
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stub_apps = ModuleType("api.apps")
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stub_apps.login_required = lambda func: func
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monkeypatch.setitem(sys.modules, "api.apps", stub_apps)
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stub_plugin = ModuleType("agent.plugin")
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class _StubGlobalPluginManager:
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@staticmethod
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def get_llm_tools():
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return []
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stub_plugin.GlobalPluginManager = _StubGlobalPluginManager
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monkeypatch.setitem(sys.modules, "agent.plugin", stub_plugin)
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module_path = Path(__file__).resolve().parents[4] / "api" / "apps" / "plugin_app.py"
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spec = importlib.util.spec_from_file_location("test_plugin_app_unit", module_path)
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module = importlib.util.module_from_spec(spec)
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module.manager = _DummyManager()
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spec.loader.exec_module(module)
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return module
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@pytest.mark.p2
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def test_llm_tools_metadata_shape_unit(monkeypatch):
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module = _load_plugin_app(monkeypatch)
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class _DummyTool:
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def get_metadata(self):
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return {"name": "dummy", "description": "test"}
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monkeypatch.setattr(module.GlobalPluginManager, "get_llm_tools", staticmethod(lambda: [_DummyTool()]))
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res = module.llm_tools()
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assert res["code"] == 0
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assert isinstance(res["data"], list)
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assert res["data"][0]["name"] == "dummy"
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assert res["data"][0]["description"] == "test"
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