mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-29 23:41:12 +08:00
93 lines
2.9 KiB
Python
93 lines
2.9 KiB
Python
#
|
|
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
import importlib.util
|
|
import os
|
|
import sys
|
|
from io import BytesIO
|
|
from unittest import mock
|
|
|
|
import pytest
|
|
|
|
# Import RAGFlowExcelParser directly by file path to avoid triggering
|
|
# deepdoc/parser/__init__.py and rag.nlp, which pull in heavy dependencies.
|
|
for _m in ["pandas", "rag.nlp", "rag.utils", "rag.utils.lazy_image"]:
|
|
if _m not in sys.modules:
|
|
sys.modules[_m] = mock.MagicMock()
|
|
|
|
|
|
def _find_project_root(marker="pyproject.toml"):
|
|
d = os.path.dirname(os.path.abspath(__file__))
|
|
while d != os.path.dirname(d):
|
|
if os.path.exists(os.path.join(d, marker)):
|
|
return d
|
|
d = os.path.dirname(d)
|
|
return None
|
|
|
|
|
|
_PROJECT_ROOT = _find_project_root()
|
|
_spec = importlib.util.spec_from_file_location(
|
|
"deepdoc.parser.excel_parser",
|
|
os.path.join(_PROJECT_ROOT, "deepdoc", "parser", "excel_parser.py"),
|
|
)
|
|
_mod = importlib.util.module_from_spec(_spec)
|
|
sys.modules["deepdoc.parser.excel_parser"] = _mod
|
|
_spec.loader.exec_module(_mod)
|
|
|
|
RAGFlowExcelParser = _mod.RAGFlowExcelParser
|
|
|
|
|
|
def _make_xlsx(n_data_rows):
|
|
from openpyxl import Workbook
|
|
|
|
wb = Workbook()
|
|
ws = wb.active
|
|
ws.append(["H1", "H2"])
|
|
for i in range(n_data_rows):
|
|
ws.append([f"a{i}", f"b{i}"])
|
|
buf = BytesIO()
|
|
wb.save(buf)
|
|
buf.seek(0)
|
|
return buf.read()
|
|
|
|
|
|
def _chunk_has_no_data_cells(chunk):
|
|
return "<td>" not in chunk and "<td></td>" not in chunk
|
|
|
|
|
|
@pytest.mark.p2
|
|
def test_exact_multiple_does_not_emit_header_only_chunk():
|
|
# 12 data rows with chunk_rows=12 (the value rag/app/naive.py uses).
|
|
chunks = RAGFlowExcelParser().html(_make_xlsx(12), chunk_rows=12)
|
|
assert len(chunks) == 1
|
|
assert all(not _chunk_has_no_data_cells(c) for c in chunks)
|
|
|
|
|
|
@pytest.mark.p2
|
|
def test_multiple_of_chunk_rows_splits_without_spurious_chunk():
|
|
# 24 data rows with chunk_rows=12 -> exactly 2 data chunks, no trailing header-only chunk.
|
|
chunks = RAGFlowExcelParser().html(_make_xlsx(24), chunk_rows=12)
|
|
assert len(chunks) == 2
|
|
assert all(not _chunk_has_no_data_cells(c) for c in chunks)
|
|
|
|
|
|
@pytest.mark.p2
|
|
def test_non_multiple_unchanged():
|
|
# 13 data rows with chunk_rows=12 -> 2 chunks (12 + 1).
|
|
chunks = RAGFlowExcelParser().html(_make_xlsx(13), chunk_rows=12)
|
|
assert len(chunks) == 2
|
|
assert all(not _chunk_has_no_data_cells(c) for c in chunks)
|