238 lines
6.7 KiB
Python
238 lines
6.7 KiB
Python
import time
|
|
from gradio_client import Client, handle_file
|
|
import json
|
|
import re
|
|
import os
|
|
# def extract_invoice_info(markdown_text):
|
|
# try:
|
|
# # 提取发票号码
|
|
# invoice_number = re.search(r'发票号码:\s*(\d+)', markdown_text)
|
|
# if not invoice_number:
|
|
# raise ValueError("无法提取发票号码")
|
|
|
|
# # 提取销售方名称
|
|
# seller_section = markdown_text.split('销售方信息')[-1]
|
|
# seller_name = re.search(r'名称:\s*(.*?)\n', seller_section)
|
|
# if not seller_name:
|
|
# raise ValueError("无法提取销售方名称")
|
|
|
|
# # 提取小写金额
|
|
# amount = re.search(r'\(小写\)\s*￥(\d+\.\d+)', markdown_text)
|
|
# if not amount:
|
|
# raise ValueError("无法提取小写金额")
|
|
|
|
# return {
|
|
# "发票号码": invoice_number.group(1),
|
|
# "销售方名称": seller_name.group(1).strip(),
|
|
# "金额": amount.group(1)
|
|
# }
|
|
# except Exception as e:
|
|
# print(f"提取信息时出错: {e}")
|
|
# return None
|
|
|
|
|
|
markdown_text = """ Page 1 of 1
|
|
| | |
|
|
| --- | --- |
|
|
| [QR Code] | |
|
|
|
|
**发票信息**
|
|
电子发票(普通发票)
|
|
<signature>国家税务总局厦门市税务局</signature>
|
|
<signature>厦门市税务局</signature>
|
|
|
|
发票号码: 25947000000028179639
|
|
开票日期: 2025年05月20日
|
|
|
|
**购买方信息**
|
|
名称: 集美大学
|
|
统一社会信用代码/纳税人识别号: 12350000426600329N
|
|
|
|
**销售方信息**
|
|
名称: 厦门京东东和贸易有限公司
|
|
统一社会信用代码/纳税人识别号: 91350212MA34A9L25L
|
|
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>项目名称</th>
|
|
<th>规格型号</th>
|
|
<th>单位</th>
|
|
<th>数量</th>
|
|
<th>单价</th>
|
|
<th>金额</th>
|
|
<th>税率/征收率</th>
|
|
<th>税额</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>*计算机配套产品*金骏芦宝 24V1A电源适配器1000mA适用于按摩器甩脂机瘦身腰带LED台灯吸尘器扫地机器人加湿器充电器电源线</td>
|
|
<td>ROSE-240100C</td>
|
|
<td>个</td>
|
|
<td>2</td>
|
|
<td>23.01</td>
|
|
<td>46.02</td>
|
|
<td>13%</td>
|
|
<td>5.98</td>
|
|
</tr>
|
|
<tr>
|
|
<td>*计算机配套产品*金骏芦宝 24V1A电源适配器1000mA适用于按摩器甩脂机瘦身腰带LED台灯吸尘器扫地机器人加湿器充电器电源线</td>
|
|
<td></td>
|
|
<td></td>
|
|
<td></td>
|
|
<td></td>
|
|
<td>-7.18</td>
|
|
<td>13%</td>
|
|
<td>-0.93</td>
|
|
</tr>
|
|
<tr>
|
|
<td>合计</td>
|
|
<td></td>
|
|
<td></td>
|
|
<td></td>
|
|
<td></td>
|
|
<td>￥38.84</td>
|
|
<td></td>
|
|
<td>￥5.05</td>
|
|
</tr>
|
|
<tr>
|
|
<td>价税合计(大写)</td>
|
|
<td>肆拾叁圆捌角玖分</td>
|
|
<td></td>
|
|
<td></td>
|
|
<td></td>
|
|
<td>(小写) ￥43.89</td>
|
|
<td></td>
|
|
<td></td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
|
|
备 注 订单号:316584139470
|
|
|
|
开票人: 王梅"""
|
|
|
|
|
|
def extract_invoice_info(markdown_text):
|
|
try:
|
|
# 提取发票号码
|
|
invoice_match = re.search(r'发票号码:\s*(\d+)', markdown_text)
|
|
if not invoice_match:
|
|
raise ValueError("未找到发票号码信息")
|
|
invoice_number = invoice_match.group(1)
|
|
print("invoice_number:", invoice_number)
|
|
# 提取销售方名称
|
|
seller_section = markdown_text.split('销售方信息')
|
|
if len(seller_section) < 2:
|
|
raise ValueError("未找到销售方信息部分")
|
|
seller_match = re.search(r'名称:\s*(.*?)\n', seller_section[-1])
|
|
if not seller_match:
|
|
raise ValueError("未找到销售方名称")
|
|
seller_name = seller_match.group(1).strip()
|
|
print("seller_name:", seller_name)
|
|
# 修正金额正则表达式（移除$符号）
|
|
# amount_match = re.search(r'小写\s*￥(\d+\.\d+)', markdown_text)
|
|
amount_match = re.search(r'\(小写\)\s*￥(\d+\.\d+)', markdown_text)
|
|
|
|
if not amount_match:
|
|
raise ValueError("未找到金额信息")
|
|
amount = amount_match.group(1)
|
|
print("amount:", amount)
|
|
# 提取商品明细
|
|
item_section = markdown_text.split('<tbody>')
|
|
if len(item_section) < 2:
|
|
raise ValueError("未找到商品明细部分")
|
|
|
|
# 修正表格解析逻辑
|
|
table_rows = re.findall(r'<tr>.*?</tr>', item_section[1],re.DOTALL)
|
|
if len(table_rows) < 2:
|
|
raise ValueError("商品明细数据不完整")
|
|
|
|
# 解析第一行数据
|
|
first_row = table_rows[1] # 跳过表头
|
|
item_name_match = re.search(r'<td>(.*?)</td>', first_row)
|
|
model_match = re.search(r'<td>([^<]*)</td>', first_row)
|
|
quantity_match = re.search(r'<td>(\d+)</td>', first_row)
|
|
|
|
if not all([item_name_match, model_match, quantity_match]):
|
|
raise ValueError("商品信息解析失败")
|
|
|
|
return {
|
|
"发票号码": invoice_number,
|
|
"销售方名称": seller_name,
|
|
"项目名称": item_name_match.group(1).strip(),
|
|
"规格型号": model_match.group(1).strip(),
|
|
"数量": quantity_match.group(1),
|
|
"金额": amount
|
|
}
|
|
|
|
except Exception as e:
|
|
print(f"解析发票信息时出错: {str(e)}")
|
|
return None
|
|
|
|
|
|
|
|
def convert_pdf_to_markdown(
|
|
file_paths: list[str],
|
|
client
|
|
):
|
|
"""
|
|
Convert PDF/images to markdown using the API
|
|
|
|
Args:
|
|
client_url: URL of the docext server
|
|
username: Authentication username
|
|
password: Authentication password
|
|
file_paths: List of file paths to convert
|
|
model_name: Model to use for conversion
|
|
|
|
Returns:
|
|
str: Converted markdown content
|
|
"""
|
|
|
|
# Prepare file inputs
|
|
file_inputs = [{"image": handle_file(file_path)} for file_path in file_paths]
|
|
|
|
# Convert to markdown (non-streaming)
|
|
result = client.predict(
|
|
images=file_inputs,
|
|
api_name="/process_markdown_streaming"
|
|
)
|
|
|
|
return result
|
|
|
|
|
|
def get_pdf_files(directory):
|
|
pdf_files = []
|
|
for root, dirs, files in os.walk(directory):
|
|
for file in files:
|
|
if file.lower().endswith('.pdf'):
|
|
pdf_files.append(os.path.join(root, file))
|
|
return pdf_files
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
extract_invoice_info(markdown_text)
|
|
|
|
# Example usage
|
|
# client url can be the local host or the public url like `https://6986bdd23daef6f7eb.gradio.live/`
|
|
# CLIENT_URL = "https://fceec28e477468b094.gradio.live/"
|
|
# client = Client(CLIENT_URL, auth=("admin", "admin"))
|
|
|
|
# pdf_directory = "pdfs"
|
|
|
|
# pdf_files = get_pdf_files(pdf_directory)
|
|
# for pdf_file in pdf_files:
|
|
# print(f"Found PDF file: {pdf_file}")
|
|
|
|
# # Single image conversion
|
|
# markdown_content = convert_pdf_to_markdown(
|
|
# [pdf_file],client
|
|
# )
|
|
|
|
# # print(markdown_content)
|
|
# invoice_info = extract_invoice_info(markdown_content)
|
|
# print(f"Extracted invoice info: {invoice_info}")
|