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https://github.com/DS4SD/docling.git
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first working version for excel parsing of tables
Signed-off-by: Peter Staar <taa@zurich.ibm.com>
This commit is contained in:
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@ -52,6 +52,7 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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) from e
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) from e
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def is_valid(self) -> bool:
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def is_valid(self) -> bool:
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_log.info(f"valid: {self.valid}")
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return self.valid
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return self.valid
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@classmethod
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@classmethod
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@ -71,20 +72,26 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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def convert(self) -> DoclingDocument:
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def convert(self) -> DoclingDocument:
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# Parses the DOCX into a structured document model.
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# Parses the DOCX into a structured document model.
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_log.info("starting to convert excel ...")
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origin = DocumentOrigin(
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origin = DocumentOrigin(
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filename=self.file.name or "file",
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filename=self.file.name or "file",
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mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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#mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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binary_hash=self.document_hash,
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binary_hash=self.document_hash,
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)
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)
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doc = DoclingDocument(name=self.file.stem or "file", origin=origin)
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if self.is_valid():
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if self.is_valid():
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return self.convert_workbook(doc)
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doc = self.convert_workbook(doc)
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else:
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else:
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_log.warning("file is not valid")
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raise RuntimeError(
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raise RuntimeError(
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f"Cannot convert doc with {self.document_hash} because the backend failed to init."
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f"Cannot convert doc with {self.document_hash} because the backend failed to init."
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)
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)
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return DoclingDocument(name=self.file.stem or "file", origin=origin)
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return doc
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def get_level(self) -> int:
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def get_level(self) -> int:
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"""Return the first None index."""
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"""Return the first None index."""
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@ -93,40 +100,51 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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return k
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return k
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return 0
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return 0
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def convert_workbook(self) -> DoclingDocument:
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def convert_workbook(self, doc: DoclingDocument) -> DoclingDocument:
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_log.info("starting to convert_workbook excel ...")
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doc = DoclingDocument(name=self.file.stem or "file", origin=origin)
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# Iterate over all sheets
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# Iterate over all sheets
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for sheet_name in workbook.sheetnames:
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for sheet_name in self.workbook.sheetnames:
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_log.info(f"Processing sheet: {sheet_name}")
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_log.info(f"Processing sheet: {sheet_name}")
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sheet = workbook[sheet_name] # Access the sheet by name
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sheet = self.workbook[sheet_name] # Access the sheet by name
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# level = self.get_level()
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# level = self.get_level()
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self.parents[0] = doc.add_group(
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self.parents[0] = doc.add_group(
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parent=None, # self.parents[level-1],
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parent=None, # self.parents[level-1],
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label=GroupLabel.SECTION,
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label=GroupLabel.SECTION,
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name=f"sheet: {sheet_name}",
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name=f"sheet: {sheet_name}",
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)
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)
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doc = self.convert_sheet(doc, sheet)
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self.convert_sheet(doc, sheet)
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return doc
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def convert_sheet(self, doc: DoclingDocument, sheet):
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def convert_sheet(self, doc: DoclingDocument, sheet):
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_log.info(" => convert_sheet")
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tables = self.find_data_tables(sheet)
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tables = self.find_data_tables(sheet)
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for excel_table in tables:
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for excel_table in tables:
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print(excel_table)
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num_rows = excel_table["num_rows"]
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num_cols = excel_table["num_cols"]
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_log.info(f"({num_rows}, {num_cols})")
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table_data = TableData(
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table_data = TableData(
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num_rows=excel_table["num_rows"],
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num_rows=num_rows,
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num_cols=excel_table["num_cols"],
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num_cols=num_cols,
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table_cells=[],
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table_cells=[],
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)
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)
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_log.info(f"({num_rows}, {num_cols})")
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for excel_cell in excel_table["data"]:
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for excel_cell in excel_table["data"]:
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_log.info(excel_cell)
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cell = TableCell(
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cell = TableCell(
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text=str(excel_cell.value),
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text=str(excel_cell["cell"].value),
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row_span=excel_cell["row_span"],
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row_span=excel_cell["row_span"],
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col_span=excel_cell["col_span"],
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col_span=excel_cell["col_span"],
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start_row_offset_idx=excel_cell["row"],
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start_row_offset_idx=excel_cell["row"],
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@ -136,29 +154,47 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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col_header=False, # col_header,
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col_header=False, # col_header,
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row_header=False, # ((not col_header) and html_cell.name=='th')
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row_header=False, # ((not col_header) and html_cell.name=='th')
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)
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)
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data.table_cells.append(cell)
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_log.info(cell)
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table_data.table_cells.append(cell)
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_log.info(f" --> adding a table ({num_rows}, {num_cols})!")
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doc.append_table(data=table_data, parent=self.parents[0])
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try:
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doc.add_table(data=table_data, parent=self.parents[0])
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except Exception as e:
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_log.warning(f"Could not add table: {str(e)}")
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_log.info(f" --> added the table ({num_rows}, {num_cols})!")
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return doc
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def find_data_tables(self, sheet):
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def find_data_tables(self, sheet):
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"""
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"""
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Find all compact rectangular data tables in a sheet.
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Find all compact rectangular data tables in a sheet.
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"""
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"""
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_log.info("find_data_tables")
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tables = [] # List to store found tables
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tables = [] # List to store found tables
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visited = set() # Track already visited cells
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visited = set() # Track already visited cells
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# Iterate over all cells in the sheet
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# Iterate over all cells in the sheet
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for ri, row in enumerate(sheet.iter_rows(values_only=False)):
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for ri, row in enumerate(sheet.iter_rows(values_only=False)):
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for rj, cell in enumerate(row):
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for rj, cell in enumerate(row):
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_log.info(f"({ri}, {rj}): {cell}")
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# Skip empty or already visited cells
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# Skip empty or already visited cells
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if cell.value is None or (ri, rj) in visited:
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if cell.value is None or (ri, rj) in visited:
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continue
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continue
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# If the cell starts a new table, find its bounds
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# If the cell starts a new table, find its bounds
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table_bounds, visited_cells = find_table_bounds(sheet, ri, rj, visited)
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table_bounds, visited_cells = self.find_table_bounds(sheet, ri, rj, visited)
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_log.info(table_bounds)
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visited.update(visited_cells) # Mark these cells as visited
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visited.update(visited_cells) # Mark these cells as visited
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tables.append(table_bounds)
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tables.append(table_bounds)
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_log.info(f"#-tables: {len(tables)}, #-cells: {len(visited)}")
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return tables
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return tables
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def find_table_bounds(self, sheet, start_row, start_col, visited):
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def find_table_bounds(self, sheet, start_row, start_col, visited):
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@ -168,6 +204,8 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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- A dictionary with the bounds and data.
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- A dictionary with the bounds and data.
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- A set of visited cell coordinates.
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- A set of visited cell coordinates.
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"""
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"""
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_log.info("find_table_bounds")
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max_row = start_row
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max_row = start_row
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max_col = start_col
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max_col = start_col
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@ -189,7 +227,7 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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data = []
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data = []
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visited_cells = set()
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visited_cells = set()
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for ri in range(start_row, max_row + 1):
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for ri in range(start_row, max_row + 1):
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row_data = []
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#row_data = []
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for rj in range(start_col, max_col + 1):
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for rj in range(start_col, max_col + 1):
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cell = sheet.cell(row=ri + 1, column=rj + 1) # 1-based indexing
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cell = sheet.cell(row=ri + 1, column=rj + 1) # 1-based indexing
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@ -204,8 +242,7 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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col_span = merged_range.max_col - merged_range.min_col + 1
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col_span = merged_range.max_col - merged_range.min_col + 1
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break
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break
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# Register the cell with spans
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data.append(
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row_data.append(
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{
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{
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"row": ri - start_row,
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"row": ri - start_row,
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"col": rj - start_col,
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"col": rj - start_col,
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@ -214,20 +251,18 @@ class MsExcelDocumentBackend(DeclarativeDocumentBackend):
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"col_span": col_span,
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"col_span": col_span,
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}
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}
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)
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)
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# Mark all cells in the span as visited
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# Mark all cells in the span as visited
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for span_row in range(ri, ri + row_span):
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for span_row in range(ri, ri + row_span):
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for span_col in range(rj, rj + col_span):
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for span_col in range(rj, rj + col_span):
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visited_cells.add((span_row, span_col))
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visited_cells.add((span_row, span_col))
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data.append(row_data)
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return {
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return {
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"beg_row": start_row,
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"beg_row": start_row,
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"beg_col": start_col,
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"beg_col": start_col,
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"end_row": max_row,
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"end_row": max_row,
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"end_col": max_col,
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"end_col": max_col,
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"num_rows": max_row - start_row,
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"num_rows": max_row + 1 - start_row,
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"num_cols": max_col - start_col,
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"num_cols": max_col + 1 - start_col,
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"data": data,
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"data": data,
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}, visited_cells
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}, visited_cells
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