mirror of
https://github.com/infiniflow/ragflow.git
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128 lines
3.7 KiB
Python
128 lines
3.7 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 os
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import sys
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from io import BytesIO
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from unittest import mock
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import pytest
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# Import RAGFlowExcelParser directly by file path to avoid triggering
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# deepdoc/parser/__init__.py and rag.nlp, which pull in heavy dependencies.
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for _m in ["pandas", "rag.nlp", "rag.utils", "rag.utils.lazy_image"]:
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if _m not in sys.modules:
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sys.modules[_m] = mock.MagicMock()
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def _find_project_root(marker="pyproject.toml"):
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d = os.path.dirname(os.path.abspath(__file__))
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while d != os.path.dirname(d):
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if os.path.exists(os.path.join(d, marker)):
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return d
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d = os.path.dirname(d)
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return None
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_PROJECT_ROOT = _find_project_root()
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_spec = importlib.util.spec_from_file_location(
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"deepdoc.parser.excel_parser",
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os.path.join(_PROJECT_ROOT, "deepdoc", "parser", "excel_parser.py"),
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)
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_mod = importlib.util.module_from_spec(_spec)
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sys.modules["deepdoc.parser.excel_parser"] = _mod
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_spec.loader.exec_module(_mod)
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RAGFlowExcelParser = _mod.RAGFlowExcelParser
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def _make_xlsx(n_data_rows):
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from openpyxl import Workbook
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wb = Workbook()
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ws = wb.active
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ws.append(["H1", "H2"])
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for i in range(n_data_rows):
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ws.append([f"a{i}", f"b{i}"])
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buf = BytesIO()
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wb.save(buf)
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buf.seek(0)
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return buf.read()
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def _chunk_has_no_data_cells(chunk):
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return "<td>" not in chunk and "<td></td>" not in chunk
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def _make_xlsx_with_zero_and_false():
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from openpyxl import Workbook
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wb = Workbook()
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ws = wb.active
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ws.append(["Amount", "Active"])
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ws.append([0, False])
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buf = BytesIO()
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wb.save(buf)
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buf.seek(0)
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return buf.read()
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@pytest.mark.p2
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def test_call_keeps_zero_and_false_cells():
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lines = RAGFlowExcelParser()(_make_xlsx_with_zero_and_false())
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assert len(lines) == 1
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assert "0" in lines[0]
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assert "False" in lines[0]
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@pytest.mark.p2
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def test_call_keeps_empty_string_cells(monkeypatch):
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from openpyxl import Workbook
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wb = Workbook()
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ws = wb.active
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ws.append(["Note"])
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ws.append([""])
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monkeypatch.setattr(RAGFlowExcelParser, "_load_excel_to_workbook", lambda _file: wb)
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lines = RAGFlowExcelParser()(b"unused")
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assert lines == ["Note："]
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@pytest.mark.p2
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def test_exact_multiple_does_not_emit_header_only_chunk():
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# 12 data rows with chunk_rows=12 (the value rag/app/naive.py uses).
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chunks = RAGFlowExcelParser().html(_make_xlsx(12), chunk_rows=12)
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assert len(chunks) == 1
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assert all(not _chunk_has_no_data_cells(c) for c in chunks)
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@pytest.mark.p2
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def test_multiple_of_chunk_rows_splits_without_spurious_chunk():
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# 24 data rows with chunk_rows=12 -> exactly 2 data chunks, no trailing header-only chunk.
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chunks = RAGFlowExcelParser().html(_make_xlsx(24), chunk_rows=12)
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assert len(chunks) == 2
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assert all(not _chunk_has_no_data_cells(c) for c in chunks)
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@pytest.mark.p2
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def test_non_multiple_unchanged():
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# 13 data rows with chunk_rows=12 -> 2 chunks (12 + 1).
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chunks = RAGFlowExcelParser().html(_make_xlsx(13), chunk_rows=12)
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assert len(chunks) == 2
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assert all(not _chunk_has_no_data_cells(c) for c in chunks)
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