mirror of
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123 lines
4.1 KiB
Python
123 lines
4.1 KiB
Python
#
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# Copyright 2026 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 ast
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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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from unittest.mock import Mock
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import pytest
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REPO_ROOT = Path(__file__).resolve().parents[5]
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def _package(monkeypatch, name):
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package = ModuleType(name)
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package.__path__ = []
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monkeypatch.setitem(sys.modules, name, package)
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return package
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def _module(monkeypatch, name, **attributes):
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module = ModuleType(name)
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for key, value in attributes.items():
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setattr(module, key, value)
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monkeypatch.setitem(sys.modules, name, module)
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return module
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def _load_flow_utils(monkeypatch):
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for package_name in (
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"api",
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"api.db",
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"api.db.services",
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"api.db.joint_services",
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"common",
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"deepdoc",
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"deepdoc.parser",
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"rag",
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):
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_package(monkeypatch, package_name)
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_module(monkeypatch, "api.db.services.llm_service", LLMBundle=Mock())
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_module(
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monkeypatch,
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"api.db.joint_services.tenant_model_service",
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get_tenant_default_model_by_type=Mock(),
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resolve_model_config=Mock(),
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)
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_module(monkeypatch, "common.constants", LLMType=SimpleNamespace(VISION="vision"))
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_module(monkeypatch, "deepdoc.parser.figure_parser", VisionFigureParser=Mock())
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_module(
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monkeypatch,
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"rag.nlp",
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is_english=Mock(return_value=False),
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random_choices=Mock(return_value=[]),
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remove_contents_table=Mock(),
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)
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module_path = REPO_ROOT / "rag/flow/parser/utils.py"
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spec = importlib.util.spec_from_file_location("test_flow_parser_utils_module", module_path)
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module = importlib.util.module_from_spec(spec)
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monkeypatch.setitem(sys.modules, spec.name, module)
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spec.loader.exec_module(module)
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return module
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@pytest.mark.p1
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@pytest.mark.parametrize(
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("language", "expected_language"),
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[
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("Japanese", "Japanese"),
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("", "English"),
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],
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)
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def test_media_enhancement_forwards_language_to_model_and_parser(monkeypatch, language, expected_language):
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utils = _load_flow_utils(monkeypatch)
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model_config = {"llm_name": "vision-model"}
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vision_model = object()
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llm_bundle = Mock(return_value=vision_model)
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parser_instance = Mock(return_value=[((None, "description"), None)])
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parser_factory = Mock(return_value=parser_instance)
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monkeypatch.setattr(utils, "resolve_model_config", Mock(return_value=model_config))
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monkeypatch.setattr(utils, "LLMBundle", llm_bundle)
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monkeypatch.setattr(utils, "VisionFigureParser", parser_factory)
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sections = [{"text": "caption", "image": object(), "doc_type_kwd": "image"}]
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result = utils.enhance_media_sections_with_vision(
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sections,
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"tenant-id",
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{"llm_id": "vision-model"},
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lang=language,
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)
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llm_bundle.assert_called_once_with("tenant-id", model_config, lang=expected_language)
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assert parser_factory.call_args.kwargs["vision_model"] is vision_model
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assert parser_factory.call_args.kwargs["lang"] == expected_language
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assert result[0]["text"] == "caption\ndescription"
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@pytest.mark.p1
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def test_all_flow_media_enhancement_callers_forward_language():
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tree = ast.parse((REPO_ROOT / "rag/flow/parser/parser.py").read_text())
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calls = [node for node in ast.walk(tree) if isinstance(node, ast.Call) and isinstance(node.func, ast.Name) and node.func.id == "enhance_media_sections_with_vision"]
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assert len(calls) == 3
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for call in calls:
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assert any(keyword.arg == "lang" for keyword in call.keywords), f"parser.py:{call.lineno} does not forward lang"
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