From 22921fdec767f6cdcf5b47a61baa627078cdf43e Mon Sep 17 00:00:00 2001 From: Wenjie Zhang Date: Thu, 15 Jan 2026 00:29:00 +0800 Subject: [PATCH] =?UTF-8?q?feat(parsing):=20=E4=BD=BF=E7=94=A8=20docling?= =?UTF-8?q?=20=E5=A4=84=E7=90=86=20docx/xlsx/pptx=20=20#439?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pyproject.toml | 3 +- src/knowledge/indexing.py | 315 ++++++++--------------- test/data/测试文档.docx | Bin 0 -> 65272 bytes test/data/测试演示.pptx | Bin 0 -> 178844 bytes test/data/测试表格.xlsx | Bin 0 -> 14073 bytes uv.lock | 497 +++++++++++++++++++++++++++++++++++- web/src/utils/file_utils.js | 10 +- 7 files changed, 616 insertions(+), 209 deletions(-) create mode 100644 test/data/测试文档.docx create mode 100644 test/data/测试演示.pptx create mode 100644 test/data/测试表格.xlsx diff --git a/pyproject.toml b/pyproject.toml index 358d98be..656b11f4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,7 +37,6 @@ dependencies = [ "pyjwt>=2.8.0", "pymilvus>=2.5.8", "pymupdf>=1.25.5", - "python-docx>=1.2.0", "python-dotenv>=1.1.0", "python-jose[cryptography]>=3.4.0", "python-multipart>=0.0.20", @@ -64,7 +63,7 @@ dependencies = [ "chardet>=5.0.0", "deepagents>=0.2.5", "json-repair>=0.54.0", - "openpyxl>=3.1.5", + "docling>=2.68.0", ] [tool.ruff] line-length = 120 # 代码最大行宽 diff --git a/src/knowledge/indexing.py b/src/knowledge/indexing.py index 3344dd36..31d58b3d 100644 --- a/src/knowledge/indexing.py +++ b/src/knowledge/indexing.py @@ -1,11 +1,13 @@ import asyncio +import base64 import os import re -import xml.etree.ElementTree as ET import zipfile from pathlib import Path import aiofiles +from docling.document_converter import DocumentConverter +from docling.datamodel.base_models import InputFormat from langchain_community.document_loaders import ( CSVLoader, JSONLoader, @@ -32,6 +34,7 @@ SUPPORTED_FILE_EXTENSIONS: tuple[str, ...] = ( ".xls", ".xlsx", ".pdf", + ".pptx", ".jpg", ".jpeg", ".png", @@ -47,150 +50,117 @@ def is_supported_file_extension(file_name: str | os.PathLike[str]) -> bool: return Path(file_name).suffix.lower() in SUPPORTED_FILE_EXTENSIONS -def _make_unique_columns(columns: list) -> list: +# Docling 文档转换器（单例模式） +_docling_converter: DocumentConverter | None = None + + +def _get_docling_converter() -> DocumentConverter: + """获取 Docling 文档转换器单例""" + global _docling_converter + if _docling_converter is None: + _docling_converter = DocumentConverter( + format_options={ + InputFormat.DOCX: None, + InputFormat.XLSX: None, + InputFormat.PPTX: None, + } + ) + return _docling_converter + + +def _upload_image_to_minio(image_data: bytes, filename: str, db_id: str) -> str: + """上传图片到 MinIO，返回 URL""" + minio_client = get_minio_client() + minio_client.ensure_bucket_exists("kb-images") + file_id = hashstr(filename, length=16) + object_name = f"{db_id}/{file_id}/images/{Path(filename).name}" + + suffix = Path(filename).suffix.lower() + content_type_map = { + ".jpg": "image/jpeg", + ".jpeg": "image/jpeg", + ".png": "image/png", + ".gif": "image/gif", + ".webp": "image/webp", + ".bmp": "image/bmp", + ".tif": "image/tiff", + ".tiff": "image/tiff", + } + content_type = content_type_map.get(suffix, "image/jpeg") + + result = minio_client.upload_file( + bucket_name="kb-images", + object_name=object_name, + data=image_data, + content_type=content_type, + ) + return result.url + + +def _parse_data_uri(data_uri: str) -> tuple[bytes, str]: + """解析 data URI，返回 (image_data, mime_type)""" + header, base64_data = data_uri.split(",", 1) + mime_type = header.split(":")[1].split(";")[0] + image_data = base64.b64decode(base64_data) + return image_data, mime_type + + +def _convert_with_docling(file_path: Path, params: dict | None = None) -> str: """ - 处理重复的列名,给重复的列添加数字后缀 + 使用 Docling 将 docx/xlsx/pptx 转换为 Markdown Args: - columns: 原始列名列表 + file_path: 文件路径 + params: 参数，包含 db_id 用于图片上传 Returns: - 处理后的唯一列名列表 - - Example: - ['A', 'B', 'A', 'C', 'B'] -> ['A', 'B', 'A_2', 'C', 'B_2'] + Markdown 字符串 """ - if not columns: - return columns - - seen = {} - unique_columns = [] - - for col in columns: - # 处理 None 或空值 - if col is None or (isinstance(col, str) and not col.strip()): - col = "Unnamed" - - # 转换为字符串 - col_str = str(col) - - # 如果这个列名已经出现过 - if col_str in seen: - seen[col_str] += 1 - # 添加后缀 - unique_col = f"{col_str}_{seen[col_str]}" - unique_columns.append(unique_col) - else: - # 第一次出现 - seen[col_str] = 1 - unique_columns.append(col_str) - - return unique_columns - - -def _extract_word_text(file_path: Path) -> str: - """ - Parse Word documents (.doc/.docx) into plain text. - - Try python-docx first for docx files and fall back to the unstructured - loader so legacy .doc files are still parsed when possible. - """ - try: - from docx import Document # type: ignore - - doc = Document(file_path) - text = "\n".join(paragraph.text for paragraph in doc.paragraphs).strip() - if text: - return text - except Exception as docx_error: # noqa: BLE001 - logger.warning(f"python-docx failed to parse {file_path.name}: {docx_error}") - - try: - loader = UnstructuredWordDocumentLoader(str(file_path)) - docs = loader.load() - return "\n".join(doc.page_content for doc in docs).strip() - except Exception as unstructured_error: # noqa: BLE001 - logger.error(f"Unstructured failed to parse {file_path.name}: {unstructured_error}") - raise ValueError(f"无法解析 Word 文档: {file_path.name}") from unstructured_error - - -def _extract_docx_markdown_with_images(file_path: Path, params: dict | None = None) -> str: params = params or {} - db_id = params.get("db_id") or "word-docs" - minio_client = get_minio_client() - bucket_name = "kb-images" - minio_client.ensure_bucket_exists(bucket_name) - file_id = hashstr(file_path.name, length=16) + db_id = params.get("db_id") or "docling-docs" - with zipfile.ZipFile(file_path, "r") as zf: - rels_path = "word/_rels/document.xml.rels" - rid_to_target: dict[str, str] = {} - try: - rels_xml = zf.read(rels_path).decode("utf-8") - rels_root = ET.fromstring(rels_xml) - for rel in list(rels_root): - rid = rel.attrib.get("Id") - target = rel.attrib.get("Target") - rtype = rel.attrib.get("Type") - if rid and target and rtype and rtype.endswith("/image"): - rid_to_target[rid] = target - except Exception: - rid_to_target = {} + converter = _get_docling_converter() + result = converter.convert(file_path) - doc_xml = zf.read("word/document.xml").decode("utf-8") - ns = { - "w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main", - "a": "http://schemas.openxmlformats.org/drawingml/2006/main", - "r": "http://schemas.openxmlformats.org/officeDocument/2006/relationships", - } - root = ET.fromstring(doc_xml) - md_lines: list[str] = [] + if result.status.name != "SUCCESS": + raise RuntimeError(f"Docling 转换失败: {result.status}") - for p in root.findall(".//w:p", ns): - texts = [t.text or "" for t in p.findall(".//w:t", ns)] - para_text = "".join(texts).strip() - image_urls: list[tuple[str, str]] = [] + doc = result.document - for blip in p.findall(".//a:blip", ns): - rid = blip.attrib.get(f"{{{ns['r']}}}embed") - if not rid: - continue - target = rid_to_target.get(rid) - if not target: - continue - media_path = target if target.startswith("word/") else f"word/{target}" - try: - data = zf.read(media_path) - object_name = f"{db_id}/{file_id}/images/{Path(target).name}" - suffix = Path(target).suffix.lower() - content_type = { - ".jpg": "image/jpeg", - ".jpeg": "image/jpeg", - ".png": "image/png", - ".gif": "image/gif", - ".webp": "image/webp", - ".bmp": "image/bmp", - ".tif": "image/tiff", - ".tiff": "image/tiff", - }.get(suffix, "image/jpeg") - result = minio_client.upload_file( - bucket_name=bucket_name, - object_name=object_name, - data=data, - content_type=content_type, - ) - image_urls.append((Path(target).name, result.url)) - except Exception as e: - logger.error(f"上传图片失败 {Path(target).name}: {e}") - continue + # 提取图片并上传到 MinIO + if hasattr(doc, "pictures") and doc.pictures: + image_refs: list[tuple[str, bytes]] = [] - line = para_text - for name, url in image_urls: - line = f"{line}\n![{name}]({url})" - if line: - md_lines.append(line) + for pic in doc.pictures: + if hasattr(pic, "image") and hasattr(pic.image, "uri"): + uri = str(pic.image.uri) + if uri.startswith("data:"): + image_data, mime_type = _parse_data_uri(uri) + filename = f"image_{len(image_refs)}.{mime_type.split('/')[-1]}" + image_refs.append((filename, image_data)) - return "\n\n".join(md_lines) + # 上传图片并收集 URL + image_urls: list[str] = [] + for filename, image_data in image_refs: + try: + url = _upload_image_to_minio(image_data, filename, db_id) + image_urls.append(f"![{filename}]({url})") + except Exception as e: + logger.error(f"上传图片失败 {filename}: {e}") + image_urls.append(f"[图片: {filename}]") + + # 导出 Markdown + markdown = doc.export_to_markdown() + + # 替换 占位符为图片 URL + # Docling 使用 作为占位符 + for url in reversed(image_urls): + markdown = re.sub(r"", url, markdown, count=1) + + return markdown + + # 无图片时直接导出 + return doc.export_to_markdown() def chunk_with_parser(file_path, params=None): @@ -470,13 +440,17 @@ async def process_file_to_markdown(file_path: str, params: dict | None = None) - content = f.read() result = f"{content}" - elif file_ext == ".docx": - text = _extract_docx_markdown_with_images(file_path_obj, params=params) - result = "" + text + elif file_ext in [".docx", ".pptx"]: + # 使用 Docling 处理 docx 和 pptx + result = _convert_with_docling(file_path_obj, params=params) elif file_ext == ".doc": - text = _extract_word_text(file_path_obj) - result = f"{text}" + # 旧版 .doc 文件仍使用原有解析方式 + from langchain_community.document_loaders import UnstructuredWordDocumentLoader + + loader = UnstructuredWordDocumentLoader(str(file_path_obj)) + docs = loader.load() + result = "\n".join(doc.page_content for doc in docs).strip() elif file_ext in [".jpg", ".jpeg", ".png", ".bmp", ".tiff", ".tif"]: # 使用 OCR 处理图片 @@ -509,71 +483,8 @@ async def process_file_to_markdown(file_path: str, params: dict | None = None) - result = markdown_content.strip() elif file_ext in [".xls", ".xlsx"]: - # 处理 Excel 文件 - import pandas as pd - from openpyxl import load_workbook - - markdown_content = "" - - # 使用 openpyxl 加载工作簿以正确处理合并单元格 - wb = load_workbook(file_path_obj, data_only=True) - - for sheet_name in wb.sheetnames: - ws = wb[sheet_name] - - # 先取消所有合并单元格，并填充值 - merged_ranges = list(ws.merged_cells.ranges) - - for merged_range in merged_ranges: - # 获取合并区域左上角单元格的值 - min_row, min_col, max_row, max_col = ( - merged_range.min_row, - merged_range.min_col, - merged_range.max_row, - merged_range.max_col, - ) - - # 获取左上角单元格的值 - top_left_value = ws.cell(row=min_row, column=min_col).value - - # 取消合并 - ws.unmerge_cells(start_row=min_row, start_column=min_col, end_row=max_row, end_column=max_col) - - # 在所有原合并单元格区域填充值 - for row in range(min_row, max_row + 1): - for col in range(min_col, max_col + 1): - ws.cell(row=row, column=col).value = top_left_value - - # 转换为DataFrame - data = [] - for row in ws.iter_rows(values_only=True): - data.append(row) - - # 第一行作为列名 - columns = data[0] if data else [] - df_data = data[1:] if len(data) > 1 else [] - - # 处理重复的列名,给重复的列添加后缀 - columns = _make_unique_columns(columns) - - df = pd.DataFrame(df_data, columns=columns) - - markdown_content += f"## {sheet_name}\n\n" - - # 在最左列添加标题字段 - table_title = f"{file_path_obj.stem} - {sheet_name}" # 使用"文件名 - Sheet名"作为标题 - df.insert(0, "表格标题", table_title) - - # 将每10行数据与表头组合成独立的表格 - chunk_size = 10 - for i in range(0, len(df), chunk_size): - # 获取当前10行数据(或剩余不足10行的数据) - chunk_df = df.iloc[i : i + chunk_size] - markdown_content += f"### 数据行 {i + 1}-{min(i + chunk_size, len(df))}\n\n" - markdown_table = chunk_df.to_markdown(index=False) - markdown_content += f"{markdown_table}\n\n" - - result = markdown_content.strip() + # 使用 Docling 处理 Excel 文件 + result = _convert_with_docling(file_path_obj, params=params) elif file_ext == ".json": # 处理 JSON 文件 diff --git a/test/data/测试文档.docx b/test/data/测试文档.docx new file 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