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### 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)
117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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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, SimpleNamespace
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import pytest
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from common import bulk_upload_documents, delete_document, list_documents
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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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@pytest.fixture(scope="function")
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def add_document_func(request, WebApiAuth, add_dataset, ragflow_tmp_dir):
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def cleanup():
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res = list_documents(WebApiAuth, {"kb_id": dataset_id})
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for doc in res["data"]["docs"]:
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delete_document(WebApiAuth, {"doc_id": doc["id"]})
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request.addfinalizer(cleanup)
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dataset_id = add_dataset
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return dataset_id, bulk_upload_documents(WebApiAuth, dataset_id, 1, ragflow_tmp_dir)[0]
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@pytest.fixture(scope="class")
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def add_documents(request, WebApiAuth, add_dataset, ragflow_tmp_dir):
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def cleanup():
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res = list_documents(WebApiAuth, {"kb_id": dataset_id})
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for doc in res["data"]["docs"]:
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delete_document(WebApiAuth, {"doc_id": doc["id"]})
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request.addfinalizer(cleanup)
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dataset_id = add_dataset
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return dataset_id, bulk_upload_documents(WebApiAuth, dataset_id, 5, ragflow_tmp_dir)
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@pytest.fixture(scope="function")
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def add_documents_func(request, WebApiAuth, add_dataset_func, ragflow_tmp_dir):
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def cleanup():
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res = list_documents(WebApiAuth, {"kb_id": dataset_id})
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for doc in res["data"]["docs"]:
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delete_document(WebApiAuth, {"doc_id": doc["id"]})
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request.addfinalizer(cleanup)
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dataset_id = add_dataset_func
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return dataset_id, bulk_upload_documents(WebApiAuth, dataset_id, 3, ragflow_tmp_dir)
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@pytest.fixture()
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def document_app_module(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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deepdoc_pkg = ModuleType("deepdoc")
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deepdoc_parser_pkg = ModuleType("deepdoc.parser")
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deepdoc_parser_pkg.__path__ = []
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class _StubPdfParser:
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pass
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class _StubExcelParser:
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pass
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deepdoc_parser_pkg.PdfParser = _StubPdfParser
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deepdoc_pkg.parser = deepdoc_parser_pkg
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monkeypatch.setitem(sys.modules, "deepdoc", deepdoc_pkg)
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monkeypatch.setitem(sys.modules, "deepdoc.parser", deepdoc_parser_pkg)
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deepdoc_excel_module = ModuleType("deepdoc.parser.excel_parser")
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deepdoc_excel_module.RAGFlowExcelParser = _StubExcelParser
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monkeypatch.setitem(sys.modules, "deepdoc.parser.excel_parser", deepdoc_excel_module)
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deepdoc_html_module = ModuleType("deepdoc.parser.html_parser")
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class _StubHtmlParser:
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pass
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deepdoc_html_module.RAGFlowHtmlParser = _StubHtmlParser
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monkeypatch.setitem(sys.modules, "deepdoc.parser.html_parser", deepdoc_html_module)
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monkeypatch.setitem(sys.modules, "xgboost", ModuleType("xgboost"))
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stub_apps = ModuleType("api.apps")
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stub_apps.current_user = SimpleNamespace(id="user-1")
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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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module_path = repo_root / "api" / "apps" / "document_app.py"
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spec = importlib.util.spec_from_file_location("test_document_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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