diff --git a/docling/backend/msexcel_backend.py b/docling/backend/msexcel_backend.py new file mode 100644 index 0000000..5258c40 --- /dev/null +++ b/docling/backend/msexcel_backend.py @@ -0,0 +1,316 @@ +import logging +from io import BytesIO +from pathlib import Path +from typing import Set, Tuple, Union + +from docling_core.types.doc import ( + DocItemLabel, + DoclingDocument, + DocumentOrigin, + GroupLabel, + ImageRef, + TableCell, + TableData, +) +from lxml import etree +from openpyxl import Workbook, load_workbook +from openpyxl.cell.cell import Cell +from openpyxl.drawing.image import Image +from openpyxl.worksheet.worksheet import Worksheet + +from docling.backend.abstract_backend import DeclarativeDocumentBackend +from docling.datamodel.base_models import InputFormat +from docling.datamodel.document import InputDocument + +_log = logging.getLogger(__name__) + + +class MsExcelDocumentBackend(DeclarativeDocumentBackend): + + def __init__(self, in_doc: "InputDocument", path_or_stream: Union[BytesIO, Path]): + super().__init__(in_doc, path_or_stream) + + # Initialise the parents for the hierarchy + self.max_levels = 10 + + self.parents = {} # type: ignore + for i in range(-1, self.max_levels): + self.parents[i] = None + + self.workbook = None + try: + if isinstance(self.path_or_stream, BytesIO): + self.workbook = load_workbook(filename=self.path_or_stream) + + elif isinstance(self.path_or_stream, Path): + self.workbook = load_workbook(filename=str(self.path_or_stream)) + + self.valid = True + except Exception as e: + self.valid = False + + raise RuntimeError( + f"MsPowerpointDocumentBackend could not load document with hash {self.document_hash}" + ) from e + + def is_valid(self) -> bool: + _log.info(f"valid: {self.valid}") + return self.valid + + @classmethod + def supports_pagination(cls) -> bool: + return True + + def unload(self): + if isinstance(self.path_or_stream, BytesIO): + self.path_or_stream.close() + + self.path_or_stream = None + + @classmethod + def supported_formats(cls) -> Set[InputFormat]: + return {InputFormat.XLSX} + + def convert(self) -> DoclingDocument: + # Parses the DOCX into a structured document model. + + origin = DocumentOrigin( + filename=self.file.name or "file", + mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + binary_hash=self.document_hash, + ) + + doc = DoclingDocument(name=self.file.stem or "file", origin=origin) + + if self.is_valid(): + doc = self.convert_workbook(doc) + else: + raise RuntimeError( + f"Cannot convert doc with {self.document_hash} because the backend failed to init." + ) + + return doc + + def get_level(self) -> int: + """Return the first None index.""" + for k, v in self.parents.items(): + if k >= 0 and v == None: + return k + return 0 + + def convert_workbook(self, doc: DoclingDocument) -> DoclingDocument: + + if self.workbook is not None: + + # Iterate over all sheets + for sheet_name in self.workbook.sheetnames: + _log.info(f"Processing sheet: {sheet_name}") + + sheet = self.workbook[sheet_name] # Access the sheet by name + + # level = self.get_level() + self.parents[0] = doc.add_group( + parent=None, # self.parents[level-1], + label=GroupLabel.SECTION, + name=f"sheet: {sheet_name}", + ) + + doc = self.convert_sheet(doc, sheet) + else: + _log.error("Workbook is not initialized.") + + return doc + + def convert_sheet(self, doc: DoclingDocument, sheet: Worksheet): + + doc = self.find_tables_in_sheet(doc, sheet) + + doc = self.find_images_in_sheet(doc, sheet) + + return doc + + def find_tables_in_sheet(self, doc: DoclingDocument, sheet: Worksheet): + + tables = self.find_data_tables(sheet) + + for excel_table in tables: + num_rows = excel_table["num_rows"] + num_cols = excel_table["num_cols"] + + table_data = TableData( + num_rows=num_rows, + num_cols=num_cols, + table_cells=[], + ) + + for excel_cell in excel_table["data"]: + + cell = TableCell( + text=str(excel_cell["cell"].value), + row_span=excel_cell["row_span"], + col_span=excel_cell["col_span"], + start_row_offset_idx=excel_cell["row"], + end_row_offset_idx=excel_cell["row"] + excel_cell["row_span"], + start_col_offset_idx=excel_cell["col"], + end_col_offset_idx=excel_cell["col"] + excel_cell["col_span"], + col_header=False, # col_header, + row_header=False, # ((not col_header) and html_cell.name=='th') + ) + table_data.table_cells.append(cell) + + doc.add_table(data=table_data, parent=self.parents[0]) + + return doc + + def find_data_tables(self, sheet: Worksheet): + """ + Find all compact rectangular data tables in a sheet. + """ + + tables = [] # List to store found tables + visited: set[Tuple[int, int]] = set() # Track already visited cells + + # Iterate over all cells in the sheet + for ri, row in enumerate(sheet.iter_rows(values_only=False)): + for rj, cell in enumerate(row): + + # Skip empty or already visited cells + if cell.value is None or (ri, rj) in visited: + continue + + # If the cell starts a new table, find its bounds + table_bounds, visited_cells = self.find_table_bounds( + sheet, ri, rj, visited + ) + + visited.update(visited_cells) # Mark these cells as visited + tables.append(table_bounds) + + return tables + + def find_table_bounds( + self, + sheet: Worksheet, + start_row: int, + start_col: int, + visited: set[Tuple[int, int]], + ): + """ + Determine the bounds of a compact rectangular table. + Returns: + - A dictionary with the bounds and data. + - A set of visited cell coordinates. + """ + _log.info("find_table_bounds") + + max_row = start_row + max_col = start_col + + # Expand downward to find the table's bottom boundary + while ( + max_row < sheet.max_row - 1 + and sheet.cell(row=max_row + 2, column=start_col + 1).value is not None + ): + max_row += 1 + + # Expand rightward to find the table's right boundary + while ( + max_col < sheet.max_column - 1 + and sheet.cell(row=start_row + 1, column=max_col + 2).value is not None + ): + max_col += 1 + + # Collect the data within the bounds + data = [] + visited_cells = set() + for ri in range(start_row, max_row + 1): + # row_data = [] + for rj in range(start_col, max_col + 1): + + cell = sheet.cell(row=ri + 1, column=rj + 1) # 1-based indexing + + # Check if the cell belongs to a merged range + row_span = 1 + col_span = 1 + for merged_range in sheet.merged_cells.ranges: + if (ri + 1, rj + 1) in merged_range: + # Calculate the spans + row_span = merged_range.max_row - merged_range.min_row + 1 + col_span = merged_range.max_col - merged_range.min_col + 1 + break + + data.append( + { + "row": ri - start_row, + "col": rj - start_col, + "cell": cell, + "row_span": row_span, + "col_span": col_span, + } + ) + + # Mark all cells in the span as visited + for span_row in range(ri, ri + row_span): + for span_col in range(rj, rj + col_span): + visited_cells.add((span_row, span_col)) + + return { + "beg_row": start_row, + "beg_col": start_col, + "end_row": max_row, + "end_col": max_col, + "num_rows": max_row + 1 - start_row, + "num_cols": max_col + 1 - start_col, + "data": data, + }, visited_cells + + def find_images_in_sheet( + self, doc: DoclingDocument, sheet: Worksheet + ) -> DoclingDocument: + + # FIXME: mypy does not agree with _images ... + """ + # Iterate over images in the sheet + for idx, image in enumerate(sheet._images): # Access embedded images + + image_bytes = BytesIO(image.ref.blob) + pil_image = Image.open(image_bytes) + + doc.add_picture( + parent=self.parents[0], + image=ImageRef.from_pil(image=pil_image, dpi=72), + caption=None, + ) + """ + + # FIXME: mypy does not agree with _charts ... + """ + for idx, chart in enumerate(sheet._charts): # Access embedded charts + chart_path = f"chart_{idx + 1}.png" + _log.info( + f"Chart found, but dynamic rendering is required for: {chart_path}" + ) + + _log.info(f"Chart {idx + 1}:") + + # Chart type + _log.info(f"Type: {type(chart).__name__}") + + # Title + if chart.title: + _log.info(f"Title: {chart.title}") + else: + _log.info("No title") + + # Data series + for series in chart.series: + _log.info(" => series ...") + _log.info(f"Data Series: {series.title}") + _log.info(f"Values: {series.values}") + _log.info(f"Categories: {series.categories}") + + # Position + # _log.info(f"Anchor Cell: {chart.anchor}") + """ + + return doc diff --git a/docling/datamodel/base_models.py b/docling/datamodel/base_models.py index d06b609..311d6d0 100644 --- a/docling/datamodel/base_models.py +++ b/docling/datamodel/base_models.py @@ -32,6 +32,7 @@ class InputFormat(str, Enum): PDF = "pdf" ASCIIDOC = "asciidoc" MD = "md" + XLSX = "xlsx" class OutputFormat(str, Enum): @@ -49,6 +50,7 @@ class OutputFormat(str, Enum): InputFormat.HTML: ["html", "htm", "xhtml"], InputFormat.IMAGE: ["jpg", "jpeg", "png", "tif", "tiff", "bmp"], InputFormat.ASCIIDOC: ["adoc", "asciidoc", "asc"], + InputFormat.XLSX: ["xlsx"], } FormatToMimeType: Dict[InputFormat, List[str]] = { @@ -72,7 +74,11 @@ class OutputFormat(str, Enum): InputFormat.PDF: ["application/pdf"], InputFormat.ASCIIDOC: ["text/asciidoc"], InputFormat.MD: ["text/markdown", "text/x-markdown"], + InputFormat.XLSX: [ + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" + ], } + MimeTypeToFormat = { mime: fmt for fmt, mimes in FormatToMimeType.items() for mime in mimes } diff --git a/docling/document_converter.py b/docling/document_converter.py index f2d29e6..4e436d0 100644 --- a/docling/document_converter.py +++ b/docling/document_converter.py @@ -12,6 +12,7 @@ from docling.backend.docling_parse_backend import DoclingParseDocumentBackend from docling.backend.html_backend import HTMLDocumentBackend from docling.backend.md_backend import MarkdownDocumentBackend +from docling.backend.msexcel_backend import MsExcelDocumentBackend from docling.backend.mspowerpoint_backend import MsPowerpointDocumentBackend from docling.backend.msword_backend import MsWordDocumentBackend from docling.datamodel.base_models import ConversionStatus, DocumentStream, InputFormat @@ -44,6 +45,11 @@ def set_optional_field_default(self) -> "FormatOption": return self +class ExcelFormatOption(FormatOption): + pipeline_cls: Type = SimplePipeline + backend: Type[AbstractDocumentBackend] = MsExcelDocumentBackend + + class WordFormatOption(FormatOption): pipeline_cls: Type = SimplePipeline backend: Type[AbstractDocumentBackend] = MsWordDocumentBackend @@ -80,6 +86,9 @@ class ImageFormatOption(FormatOption): _format_to_default_options = { + InputFormat.XLSX: FormatOption( + pipeline_cls=SimplePipeline, backend=MsExcelDocumentBackend + ), InputFormat.DOCX: FormatOption( pipeline_cls=SimplePipeline, backend=MsWordDocumentBackend ), diff --git a/poetry.lock b/poetry.lock index 6d70eb5..40995b3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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2 | 3 | 4 | +| 2 | 4 | 6 | 8 | +| 3 | 6 | 9 | 12 | +| 4 | 8 | 12 | 16 | +| 5 | 10 | 15 | 20 | +| 6 | 12 | 18 | 24 | +| 7 | 14 | 21 | 28 | +| 8 | 16 | 24 | 32 | + +| col-1 | col-2 | col-3 | +|---------|---------|---------| +| 1 | 2 | 3 | +| 2 | 4 | 6 | +| 3 | 6 | 9 | +| 4 | 8 | 12 | + +| col-1 | col-2 | col-3 | +|---------|---------|---------| +| 1 | 2 | 3 | +| 2 | 4 | 6 | +| 3 | 6 | 9 | +| 4 | 8 | 12 | \ No newline at end of file diff --git a/tests/data/xlsx/test-01.xlsx b/tests/data/xlsx/test-01.xlsx new file mode 100644 index 0000000..5a87d4f Binary files /dev/null and b/tests/data/xlsx/test-01.xlsx differ diff --git a/tests/test_msexcel.py b/tests/test_msexcel.py new file mode 100644 index 0000000..1512231 --- /dev/null +++ b/tests/test_msexcel.py @@ -0,0 +1,77 @@ +import json +import os +from pathlib import Path + +from docling.backend.msword_backend import MsWordDocumentBackend +from docling.datamodel.base_models import InputFormat +from docling.datamodel.document import ( + ConversionResult, + InputDocument, + SectionHeaderItem, +) +from docling.document_converter import DocumentConverter + +GENERATE = True + + +def get_xlsx_paths(): + + # Define the directory you want to search + directory = Path("./tests/data/xlsx/") + + # List all PDF files in the directory and its subdirectories + pdf_files = sorted(directory.rglob("*.xlsx")) + return pdf_files + + +def get_converter(): + + converter = DocumentConverter(allowed_formats=[InputFormat.XLSX]) + + return converter + + +def verify_export(pred_text: str, gtfile: str): + + if not os.path.exists(gtfile) or GENERATE: + with open(gtfile, "w") as fw: + fw.write(pred_text) + + return True + + else: + with open(gtfile, "r") as fr: + true_text = fr.read() + + assert pred_text == true_text, "pred_itxt==true_itxt" + return pred_text == true_text + + +def test_e2e_xlsx_conversions(): + + xlsx_paths = get_xlsx_paths() + converter = get_converter() + + for xlsx_path in xlsx_paths: + # print(f"converting {xlsx_path}") + + gt_path = ( + xlsx_path.parent.parent / "groundtruth" / "docling_v2" / xlsx_path.name + ) + + conv_result: ConversionResult = converter.convert(xlsx_path) + + doc: DoclingDocument = conv_result.document + + pred_md: str = doc.export_to_markdown() + assert verify_export(pred_md, str(gt_path) + ".md"), "export to md" + + pred_itxt: str = doc._export_to_indented_text( + max_text_len=70, explicit_tables=False + ) + assert verify_export( + pred_itxt, str(gt_path) + ".itxt" + ), "export to indented-text" + + pred_json: str = json.dumps(doc.export_to_dict(), indent=2) + assert verify_export(pred_json, str(gt_path) + ".json"), "export to json"