textInput.py

import run
import util
import docx
from docx.oxml.ns import qn
from docx.shared import Pt,RGBColor
import fitz
import os
from fpdf import FPDF
import run
from BERT_inference import BertClassificationModel


def text_dump_to_lines(text,topic_num,max_length):
    lines = util.seg(text)
    sentences  = run.texClear(lines)
    print(sentences)
    keys, output = run.textToAb(sentences,lines,int(topic_num),int(max_length))
    keysText = "\n".join(keys)
    outputText = "\n".join(output)
    print(keys,output)
    return keysText, outputText, dump_to_txt(output), dump_to_docx(output), dump_to_pdf(output)

def file_dump_to_lines(file,topic_num,max_length):
    lines = []
    # print(file.name)
    fileFormat = file.name.split(".")[-1]
    # print(fileFormat)
    if fileFormat == "txt":
        with open(file.name,  encoding='utf-8') as f:
            content = f.read()
            lines = [x.strip() for x in content.split("\n") if x.strip()!='']
    elif fileFormat == "docx":
        doc=docx.Document(file.name)
        paragraphs = doc.paragraphs
        lines = [par.text for par in paragraphs]
    elif fileFormat == "pdf":
        pdf = fitz.open(file.name)
        for page in pdf:
            pageText = page.get_text("text")
            lines.extend([x.strip() for x in pageText.split("\n") if x.strip()!=''])
    # print(lines)
    text = "\n".join(lines)
    print(text)
    keysText, outputText, txt_path, docx_path, pdf_path = text_dump_to_lines(text,topic_num,max_length)
    # sentences = run.texClear(lines)
    # keys, output = run.textToAb(sentences,lines,int(topic_num),int(max_length))
    # keysText = "\n".join(keys)
    # outputText = "\n".join(output)
    # # text = "\n".join(lines)
    # # return text, text, dump_to_txt(lines), dump_to_docx(lines), dump_to_pdf(lines)
    return keysText, outputText, txt_path, docx_path, pdf_path 

def dump_to_txt(lines):
    text = "\n".join(lines)
    with open('temp.txt',mode="w",encoding="utf-8") as f:
        f.write(text)
    path = os.path.abspath('temp.txt')
    return path

def dump_to_docx(lines):
    document = docx.Document()
    document.styles['Normal'].font.name = u'宋体'
    document.styles['Normal']._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体')
    document.styles['Normal'].font.size = Pt(14)
    document.styles['Normal'].font.color.rgb = RGBColor(0,0,0)


    paragraph = document.add_paragraph()
    run = paragraph.add_run()
    #run.font.name = 'Times New Roman' 
    run.font.name=u'Cambria'
    run.font.color.rgb = RGBColor(0,0,0)
    run._element.rPr.rFonts.set(qn('w:eastAsia'), u'Cambria')

    for line in lines:
        document.add_paragraph(line)
    
    document.save(r'temp.docx')
    path = os.path.abspath('temp.docx')

    return path

def dump_to_pdf(lines):
    pdf = FPDF()
    #读取字体文件
    pdf.add_font('FZY3JW', '', 'FZY3JW.TTF', True)
    pdf.add_page()
    #设置pdf字体大小
    pdf.set_font("FZY3JW", size=12)
    #打开txt文本
    try:
        #按行读取txt文本内容
        for line in lines:
            str=line
            num=len(str)
            temp=45#判断标志，实现pdf文件每行最多村45个字符
            for j in range(0,num,temp):
                if(j+temp<num):
                    data=str[j:j+temp]
                else:
                    data=str[j:num]
                pdf.cell(0, 5, data, ln=1)
    except Exception as e:
        print(e)
    pdf.output("temp.pdf")
    path = os.path.abspath('temp.pdf')
    return path

if __name__ == "__main__":
    with open('test.txt', 'r', encoding='utf-8') as f:
        data = f.read()
        # print(data)
        text_dump_to_lines(data,10,50)