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feat(文档解析): 拓展支持文件解析类型：excel、jpg、png、txt、md (#94)

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zstar 2025-05-14 23:01:09 +08:00 committed by GitHub
parent c787ae7eac
commit b79293b9ae
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2 changed files with 122 additions and 7 deletions
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4
management/server/requirements.txt
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@ -6,8 +6,8 @@ tabulate==0.9.0
Werkzeug==3.1.3
PyJWT==2.10.1
dotenv==0.9.9
magic-pdf==1.3.10
transformers==4.51.3
magic-pdf==1.3.11
transformers==4.49.0
elasticsearch==8.12.0
minio==7.2.4
strenum==0.4.15

125
management/server/services/knowledgebases/document_parser.py
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@ -2,6 +2,7 @@ import os
import tempfile
import shutil
import json
from bs4 import BeautifulSoup
import mysql.connector
import time
import traceback
@ -14,7 +15,7 @@ from magic_pdf.data.data_reader_writer import FileBasedDataWriter, FileBasedData
from magic_pdf.data.dataset import PymuDocDataset
from magic_pdf.model.doc_analyze_by_custom_model import doc_analyze
from magic_pdf.config.enums import SupportedPdfParseMethod
from magic_pdf.data.read_api import read_local_office
from magic_pdf.data.read_api import read_local_office, read_local_images
from utils import generate_uuid
@ -199,6 +200,57 @@ def get_bbox_from_block(block):
return [0, 0, 0, 0]
def process_table_content(content_list):
"""
处理表格内容，将每一行分开存储
Args:
content_list: 原始内容列表
Returns:
处理后的内容列表
"""
new_content_list = []
for item in content_list:
if 'table_body' in item and item['table_body']:
# 使用BeautifulSoup解析HTML表格
soup = BeautifulSoup(item['table_body'], 'html.parser')
table = soup.find('table')
if table:
rows = table.find_all('tr')
# 获取表头（第一行）
header_row = rows[0] if rows else None
# 处理每一行，从第二行开始（跳过表头）
for i, row in enumerate(rows):
# 创建新的内容项
new_item = item.copy()
# 创建只包含当前行的表格
new_table = soup.new_tag('table')
# 如果有表头，添加表头
if header_row and i > 0:
new_table.append(header_row)
# 添加当前行
new_table.append(row)
# 创建新的HTML结构
new_html = f"<html><body>{str(new_table)}</body></html>"
new_item['table_body'] = f"\n\n{new_html}\n\n"
# 添加到新的内容列表
new_content_list.append(new_item)
else:
new_content_list.append(item)
else:
new_content_list.append(item)
return new_content_list
def perform_parse(doc_id, doc_info, file_info, embedding_config):
"""
执行文档解析的核心逻辑
@ -309,7 +361,7 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
middle_content = pipe_result.get_middle_json()
middle_json_content = json.loads(middle_content)
elif file_type.endswith("word") or file_type.endswith("ppt"):
elif file_type.endswith("word") or file_type.endswith("ppt") or file_type.endswith("txt") or file_type.endswith("md"):
update_progress(0.3, "使用MinerU解析器")
# 创建临时文件保存文件内容
temp_dir = tempfile.gettempdir()
@ -330,6 +382,66 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
update_progress(0.6, "处理文件结果")
pipe_result = infer_result.pipe_txt_mode(image_writer)
update_progress(0.8, "提取内容")
content_list = pipe_result.get_content_list(os.path.basename(temp_image_dir))
# 获取内容列表（JSON格式）
middle_content = pipe_result.get_middle_json()
middle_json_content = json.loads(middle_content)
# 对excel文件单独进行处理
elif file_type.endswith("excel") :
update_progress(0.3, "使用MinerU解析器")
# 创建临时文件保存文件内容
temp_dir = tempfile.gettempdir()
temp_file_path = os.path.join(temp_dir, f"{doc_id}{file_extension}")
with open(temp_file_path, "wb") as f:
f.write(file_content)
print(f"[Parser-INFO] 临时文件路径: {temp_file_path}")
# 使用MinerU处理
ds = read_local_office(temp_file_path)[0]
infer_result = ds.apply(doc_analyze, ocr=True)
# 设置临时输出目录
temp_image_dir = os.path.join(temp_dir, f"images_{doc_id}")
os.makedirs(temp_image_dir, exist_ok=True)
image_writer = FileBasedDataWriter(temp_image_dir)
update_progress(0.6, "处理文件结果")
pipe_result = infer_result.pipe_txt_mode(image_writer)
update_progress(0.8, "提取内容")
origin_content_list = pipe_result.get_content_list(os.path.basename(temp_image_dir))
# 处理内容列表
content_list = process_table_content(origin_content_list)
elif file_type.endswith("visual"):
update_progress(0.3, "使用MinerU解析器")
# 创建临时文件保存文件内容
temp_dir = tempfile.gettempdir()
temp_file_path = os.path.join(temp_dir, f"{doc_id}{file_extension}")
with open(temp_file_path, "wb") as f:
f.write(file_content)
print(f"[Parser-INFO] 临时文件路径: {temp_file_path}")
# 使用MinerU处理
ds = read_local_images(temp_file_path)[0]
infer_result = ds.apply(doc_analyze, ocr=True)
update_progress(0.3, "分析PDF类型")
is_ocr = ds.classify() == SupportedPdfParseMethod.OCR
mode_msg = "OCR模式" if is_ocr else "文本模式"
update_progress(0.4, f"使用{mode_msg}处理PDF")
infer_result = ds.apply(doc_analyze, ocr=is_ocr)
# 设置临时输出目录
temp_image_dir = os.path.join(temp_dir, f"images_{doc_id}")
os.makedirs(temp_image_dir, exist_ok=True)
image_writer = FileBasedDataWriter(temp_image_dir)
update_progress(0.6, f"处理{mode_msg}结果")
pipe_result = infer_result.pipe_ocr_mode(image_writer) if is_ocr else infer_result.pipe_txt_mode(image_writer)
update_progress(0.8, "提取内容")
content_list = pipe_result.get_content_list(os.path.basename(temp_image_dir))
# 获取内容列表（JSON格式）
@ -338,8 +450,6 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
else:
update_progress(0.3, f"暂不支持的文件类型: {file_type}")
raise NotImplementedError(f"文件类型 '{file_type}' 的解析器尚未实现")
error_message = f"暂不支持的文件类型: {file_type}"
return {"success": False, "error": error_message}
# 解析 middle_json_content 并提取块信息
block_info_list = []
@ -364,8 +474,10 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
except json.JSONDecodeError:
print("[Parser-ERROR] 解析 middle_json_content 失败。")
raise Exception("[Parser-ERROR] 解析 middle_json_content 失败。")
except Exception as e:
print(f"[Parser-ERROR] 处理 middle_json_content 时出错: {e}")
raise Exception(f"[Parser-ERROR] 处理 middle_json_content 时出错: {e}")
# 3. 处理解析结果 (上传到MinIO, 存储到ES)
update_progress(0.95, "保存解析结果")
@ -466,7 +578,7 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
print(f"[Parser-INFO] 获取embedding成功，长度: {len(q_1024_vec)}")
except Exception as e:
print(f"[Parser-ERROR] 获取embedding失败: {e}")
q_1024_vec = []
raise Exception(f"[Parser-ERROR] 获取embedding失败: {e}")
chunk_id = generate_uuid()
@ -515,6 +627,7 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
except Exception as e:
print(f"[Parser-ERROR] 处理文本块 {chunk_idx} (page: {page_idx}, bbox: {bbox}) 失败: {e}")
traceback.print_exc() # 打印更详细的错误
raise Exception(f"[Parser-ERROR] 处理文本块 {chunk_idx} (page: {page_idx}, bbox: {bbox}) 失败: {e}")
elif chunk_data["type"] == "image":
img_path_relative = chunk_data.get("img_path")
@ -558,6 +671,7 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
except Exception as e:
print(f"[Parser-ERROR] 上传图片 {img_path_abs} 失败: {e}")
raise Exception(f"[Parser-ERROR] 上传图片 {img_path_abs} 失败: {e}")
# 打印匹配总结信息
print(f"[Parser-INFO] 共处理 {chunk_count} 个文本块。")
@ -594,6 +708,7 @@ def perform_parse(doc_id, doc_info, file_info, embedding_config):
except Exception as e:
print(f"[Parser-ERROR] 更新文本块图片关联失败: {e}")
raise Exception(f"[Parser-ERROR] 更新文本块图片关联失败: {e}")
finally:
if cursor:
cursor.close()