""" 1. 完成了多个文件类型的解析,包括pdf, docx, xlsx, csv, json等。 1. csv,json, xls, xlxs, docx, pdf文件,直接读取文件内容。 2. 目前docx模块在huggingface的python3.10报错。暂时不支持docx文件。 """ ##TODO: 完成txt文件的上传功能。 # -*- coding: utf-8 -*- import numpy as np import pandas as pd import re from re import sub import smtplib import matplotlib.pyplot as plt from itertools import product from tqdm import tqdm_notebook, tqdm, trange import time import pretty_errors import seaborn as sns from matplotlib.pyplot import style from rich import print import warnings warnings.filterwarnings('ignore') # style.use('seaborn') # import docx ## read docx file. from docx import Document # from docx import Document import pandas as pd import PyPDF2 ### 解析文件,返回文件内容,包括pdf, docx, xlsx, csv, json等。 def parser(file): file_content = '' if '.pdf' in file.name: print('PDF file detected') # Add your PDF parsing code here # pdf_file_obj = open(file, 'rb') # pdf_reader = PyPDF2.PdfReader(pdf_file_obj) pdf_reader = PyPDF2.PdfReader(file) num_pages = len(pdf_reader.pages) file_content = '' for page in range(num_pages): page_obj = pdf_reader.pages[page] file_content += page_obj.extract_text() # pdf_file_obj.close() # elif '.docx' in file.name: # print('Microsoft Word file detected') # doc = Document(file) ## 这里streamlit中的上传格式与普通格式一致。 # file_content = ' '.join([paragraph.text for paragraph in doc.paragraphs]) # elif '.xlsx' in file or '.xls' in file: elif '.xlsx' in file or '.xls' in file.name: print('Excel file detected') df = pd.read_excel(file) ## 这里streamlit中的上传格式与普通格式一致。 file_content = df.to_string() # elif '.csv' in file: elif '.csv' in file.name: print('CSV file detected') # df = pd.read_csv(csv_file) # file_content = df.to_string() ## streamlit中的获得上传文件的内容,与一般的情况不一样。 csv_file = file.getvalue().decode('utf-8') file_content = csv_file ### streamlit中的获得上传文件的内容,与一般的情况不一样。 # elif '.json' in file: elif '.json' in file.name: # print('JSON file detected') json_file = file.getvalue() ## 在streamlit中获得上传文件的json文件内容。这里不能用file.read(). json_file = json_file.decode('utf-8') df = pd.read_json(json_file) file_content = df.to_string() # print('file_content:', file_content) elif '.txt' in file.name: print('txt file detected') ### 本质上txt文件和json文件的处理方式是一样的。 txt_file = file.getvalue() ## 在streamlit中获得上传文件的json文件内容。这里不能用file.read(). # txt_file = txt_file.decode('utf-8') ### working. txt_file = txt_file.decode('utf-8') ## 保障是utf-8的格式 # with open(file.name, 'r', encoding='utf-8') as f: # txt_file = f.read() file_content = txt_file return file_content # res_1 = parser('summary_qwen.csv') # print(res_1) ## pass csv file # res_2 = parser('/Users/yunshi/Downloads/360Data/Data Center/Working-On Task/演讲与培训/2023ChatGPT/Coding/text_mining/训练数据/13011800166202403111112051850.json') # print(res_2) ## pass json file # res_3 = parser('/Users/yunshi/Downloads/360Data/Data Center/Consulting Material/第二份资料/2 (H)/北大纵横/北大纵横2/北大纵横—-涟钢团ERP管理咨询项目组织结构设计与主业务流程设计报告/过程文件/涟钢资料/8)公司岗位设置/2002年新定员库2/生服公司.xls') # print(res_3) ## pass xls file # res_4 = parser('/Users/yunshi/Downloads/同步空间/LLM/2023ChatGPT/Coding/code_interpreter/rawdata/模拟数据.xlsx') # print(res_4) ## pass xlsx file # res_5 = parser('/Users/yunshi/Downloads/360Data/Data Center/Business Force/Project/中移在线/客户资料/201806 广州中心基线评审申报资料/各类附件/1.4 信息系统规划-1.docx') # print(res_5) ## pass docx file # res_6 = parser('/Users/yunshi/Downloads/360Data/Data Center/Working-On Task/演讲与培训/2023ChatGPT/Coding/gradio/中交建/产品演示DEMO/在线国产大模型演示与测试站点.pdf') # print(res_6) ## pass docx file