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Introduce opendataloader and PaddleOCR-VL parser engines with tenant-level settings UI, replace liteparse, and harden Excel/PPT/Markdown parsing. Optional odl-hybrid sidecar stays local-build only and is excluded from default dev-start and full profiles.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
"""Fill merged cell values before pandas reads an XLSX workbook."""
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from __future__ import annotations
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import logging
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import zipfile
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from io import BytesIO
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logger = logging.getLogger(__name__)
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def fill_merged_cells_xlsx(content: bytes) -> bytes:
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"""Unmerge ranges and copy the master cell value into every covered cell.
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openpyxl only stores values on the top-left cell of a merge; pandas then
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sees NaN in the rest. Filling makes row-wise RAG chunks retain context.
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"""
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if not zipfile.is_zipfile(BytesIO(content)):
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return content
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from openpyxl import load_workbook
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wb = load_workbook(BytesIO(content), data_only=True)
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changed = False
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for ws in wb.worksheets:
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if not ws.merged_cells.ranges:
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continue
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for merge_range in list(ws.merged_cells.ranges):
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master_value = ws.cell(merge_range.min_row, merge_range.min_col).value
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ws.unmerge_cells(str(merge_range))
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for row in range(merge_range.min_row, merge_range.max_row + 1):
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for col in range(merge_range.min_col, merge_range.max_col + 1):
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ws.cell(row, col).value = master_value
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changed = True
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if not changed:
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return content
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out = BytesIO()
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wb.save(out)
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logger.info("Filled merged cells in XLSX before parse")
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return out.getvalue()
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