generate_ppt/ppt_api.py

from docx import Document
import platform
import os
import concurrent.futures
os.environ['ALL_PROXY'] = 'http://127.0.0.1:10809'
import docx
import json
import re
from docx.document import Document
from docx.oxml.table import CT_Tbl
from docx.oxml.text.paragraph import CT_P
from docx.table import _Cell, Table
from docx.text.paragraph import Paragraph
import requests
import random
import time
from flask import Flask, render_template, request, redirect, url_for, jsonify
from werkzeug.utils import secure_filename
app = Flask(__name__)


# 上传文件存储目录
UPLOAD_FOLDER = 'uploads'
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

# 正则表达式
RE_CHINA_NUMS = "[1-9].(.*)"
# 允许的文件类型
ALLOWED_EXTENSIONS = {'docx'}


pantten_mulu = '目录(.*?)致谢'
pantten_xiaobiaoti = "{}(.*?){}"
pantten_yijibiaoti = '^([一二三四五六七八九])、(.*)'
pantten_erjibiaoti = '^[0-9](\.[0-9]\d*){1}\s{1,}?.*$'
pantten_content_tiaoshu = '[0-9]\.{1}\s{0,}?(.*)'

pantten_yijibiaoti_content = '^[一二三四五六七八九]、(.*)'
pantten_erjibiaoti_content = '^[0-9]\.[0-9]\s{1,}?(.*)$'

prompt_two_title_min_max = "为论文题目“{}”生成中文目录，要求只有一级标题，二级标题，一级标题使用中文数字 例如一、xxx；二级标题使用阿拉伯数字 例如1.1 xxx；一级标题生成{}个；每个一级标题包含{}-{}个二级标题"
prompt_two_title_not_min_max = "为论文题目“{}”生成中文目录，要求只有一级标题，二级标题，一级标题使用中文数字 例如一、xxx；二级标题使用阿拉伯数字 例如1.1 xxx；一级标题生成{}个；每个一级标题包含{}个二级标题"

pantten_title = "为论文题目“(.*?)”生成中文目录"
pantten_xiaobiaoti_geshu = "每个一级标题包含(.*?)个"
pantten_dabiaoti_geshu = "一级标题生成(.*?)个"

mulusuojian = "请问把以下目录缩减成只有4个一级标题作为ppt的题目，请问留下原始目录中的哪4个一级标题最合适，一级标题必须在原始目录中\n{}\n"

self_api = "http://192.168.31.149:12004/predict"
gpt_api = "https://api.openai.com/v1/chat/completions"


class log:
    def __init__(self):
        pass

    def log(*args, **kwargs):
        format = '%Y/%m/%d-%H:%M:%S'
        format_h = '%Y-%m-%d'
        value = time.localtime(int(time.time()))
        dt = time.strftime(format, value)
        dt_log_file = time.strftime(format_h, value)
        log_file = 'log_file/access-%s' % dt_log_file + ".log"
        if not os.path.exists(log_file):
            with open(os.path.join(log_file), 'w', encoding='utf-8') as f:
                print(dt, *args, file=f, **kwargs)
        else:
            with open(os.path.join(log_file), 'a+', encoding='utf-8') as f:
                print(dt, *args, file=f, **kwargs)


def allowed_file(filename):
    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS


def iter_block_items(parent):
    """
    Yield each paragraph and table child within *parent*, in document order.
    Each returned value is an instance of either Table or Paragraph. *parent*
    would most commonly be a reference to a main Document object, but
    also works for a _Cell object, which itself can contain paragraphs and tables.
    """
    if isinstance(parent, Document):
        parent_elm = parent.element.body
    elif isinstance(parent, _Cell):
        parent_elm = parent._tc
    else:
        raise ValueError("something's not right")

    for child in parent_elm.iterchildren():
        if isinstance(child, CT_P):
            yield Paragraph(child, parent)
        elif isinstance(child, CT_Tbl):
            yield Table(child, parent)


def read_table(table):
    return [[cell.text for cell in row.cells] for row in table.rows]


def read_word(word_path):
    paper_text = []
    doc = docx.Document(word_path)
    for block in iter_block_items(doc):
        if isinstance(block, Paragraph):
            paper_text.append(block.text)
        elif isinstance(block, Table):
            table_list = read_table(block)
            table_list_new = []
            for row in table_list:
                table_list_new.append("<td>" + "</td>\n<td>".join(row) + "</td>")
            table_str = "\n<tr>\n" + "\n</tr>\n<tr>\n".join(table_list_new) + "\n</tr>\n"
            table_str = "<tbStart>\n<table>" + table_str + "</table>\n\n<tbEnd>"
            paper_text.append(table_str)
    paper_text = "\n".join(paper_text)
    return paper_text


def getText(fileName):
    doc = docx.Document(fileName)
    TextList = []
    for paragraph in doc.paragraphs:
        TextList.append(paragraph.text)

    return '\n'.join(TextList)


def request_selfmodel_api(prompt):
    url = "http://192.168.31.149:12004/predict"
    data = {
        "model": "gpt-4-turbo-preview",
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "top_p": 0.7,
        "temperature": 0.95
    }
    response = requests.post(
        url,
        json=data,
        timeout=100000
    )

    return response.json()


def request_chatgpt_api(prompt):
    OPENAI_API_KEY = "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"
    url = "https://api.openai.com/v1/chat/completions"
    # url = "https://one.aiskt.com"
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {OPENAI_API_KEY}"
    }
    data = {
        "model": "gpt-4-turbo-preview",
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "top_p": 0.7,
        "temperature": 0.95
    }
    response = requests.post(url,
                             headers=headers,
                             data=json.dumps(data),
                             timeout=1200)

    return response.json()


def yanzhengyijibiaoti(mulu, res):
    '''
    判断生成的大标题是否可用
    :param mulu:
    :param res:
    :return:
    '''

    mulu_list = str(mulu).split("\n")

    dabiaoti_list = []
    dabiaoti_res_list = []
    for i in mulu_list:
        res_re = re.findall(pantten_yijibiaoti, i)
        if res_re != []:
            dabiaoti_list.append(re.findall(pantten_yijibiaoti, i)[0])
    for i in dabiaoti_list:
        if i[1].strip() in res:
            dabiaoti_res_list.append("、".join(i))

    if len(dabiaoti_res_list) == 4:
        return_bool = True
    else:
        return_bool = False

    return return_bool, dabiaoti_res_list


def main(path):
    # fileName = "data/基于Python的电影网站设计_范文.docx"
    system = platform.system()
    if system == 'Linux':
        file_name = path.split("/")[-1].split(".")[0]
    else:
        file_name = path.split("\\")[-1].split(".")[0]

    text_1 = json.dumps(read_word(path), ensure_ascii=False)
    print(text_1)
    mulu_str = re.findall(pantten_mulu, text_1)[0]
    print(mulu_str)
    mulu_list_xuhao = str(mulu_str).split("\\n")

    mulu_list = []
    for i in mulu_list_xuhao:
        if i != "":
            mulu_list.append(i.split("\\t")[0])

    mulu_list.append("致谢")

    print(mulu_list)

    yijibiaoti = ""
    paper_content = {}
    for i in range(len(mulu_list) - 1):
        title = mulu_list[i].strip(" ").strip("\\n")
        content = str(re.findall(pantten_xiaobiaoti.format(mulu_list[i], mulu_list[i + 1]), text_1)[1]).strip(
            " ").strip("\\n")
        # print(title)
        # print(content)

        yijibiaoti_res = re.findall(pantten_yijibiaoti, title)
        erjibiaoti_res = re.findall(pantten_erjibiaoti, title)
        if yijibiaoti_res != []:
            # title = "、".join([yijibiaoti_res[0][1], yijibiaoti_res[0][1].strip()])
            paper_content[title] = {}
            yijibiaoti = title
            continue

        elif erjibiaoti_res != []:
            paper_content[yijibiaoti][title] = content.replace("\\n", "\n")

        else:
            paper_content[yijibiaoti][title] += "\n".join(title + content)

    while True:
        mulu_str = "\n".join(mulu_list[:-1])
        prompt = f'请问把以下目录缩减成只有4个一级标题作为ppt的题目，请问留下原始目录中的哪4个一级标题最合适，一级标题必须在原始目录中\n{mulu_str}\n'

        # try:
        #     res = request_chatgpt_api(prompt)['choices'][0]['message']['content']
        # except:
        #     continue

        res = '''根据您提供的目录内容，如果要将其缩减为只包含4个一级标题的PPT题目，建议选择以下四个一级标题，因为它们分别代表了研究的引入、理论框架、实际应用与实践，以及未来展望，从而形成了一个完整的研究过程和内容框架：

        1. 一、绪论
        2. 二、电影网站设计的基本概念
        3. 三、Python在电影网站设计中的应用
        4. 五、电影网站设计的实践与展望

        这样的选择既涵盖了研究的背景、目的与意义（绪论），也包括了研究的理论基础（电影网站设计的基本概念），以及研究的实际操作和技术实现（Python在电影网站设计中的应用），最后还有对项目实践经验的总结和对未来发展的展望（电影网站设计的实践与展望）。这四个部分共同构成了一个完整的研究报告或项目介绍的框架，能够全面展示电影网站设计项目的各个方面。
        '''

        shaixuan_bool, dabiaoti_res_list = yanzhengyijibiaoti("\n".join(mulu_list), res.replace("\n", "\\n"))
        if shaixuan_bool == True:
            break


    index_zahnweifu = 0
    zhanweifu = []
    content_1 = []
    catalogue = []
    for yijibiaoti in dabiaoti_res_list:
        content_2 = []
        yijibiaoti_content = re.findall(pantten_yijibiaoti_content, yijibiaoti)[0]
        catalogue.append(yijibiaoti_content)
        for erjibiaoti in paper_content[yijibiaoti]:
            num = random.randint(2, 6)
            content = paper_content[yijibiaoti][erjibiaoti]
            # res = request_selfmodel_api(
            #     f'任务：生成段落主要内容\n请对以下内容进行提取信息，只需要提取{str(num)}条主要内容，使用条数罗列下面这段话的主要信息，例如1. xxx\n2.xxx \n' + content)[
            #     'choices'][0]['message']['content']

            zhanweifu.append(f'任务：生成段落主要内容\n请对以下内容进行提取信息，只需要提取{str(num)}条主要内容，使用条数罗列下面这段话的主要信息，例如1. xxx\n2.xxx \n' + content)

            content_2.append({
                "title_small": re.findall(pantten_erjibiaoti_content, erjibiaoti)[0],
                "content_3": index_zahnweifu
            })
            index_zahnweifu += 1
        content_1.append({
            "title_big": yijibiaoti_content,
            "content_2": content_2
        })

    with concurrent.futures.ThreadPoolExecutor(100) as executor:
        results = executor.map(request_selfmodel_api, zhanweifu)

    zhanweifu = []
    for result in results:
        res = result['choices'][0]['message']['content']

        tiaoshu_list = str(res).split("\n")

        tiaoshu_list_new = []
        for dantiao in tiaoshu_list:
            tiaoshu_list_new.append(re.findall(pantten_content_tiaoshu, dantiao)[0].strip())
        zhanweifu.append(tiaoshu_list_new)

    content_1_new = []

    for yijibiaoti_content in content_1:
        content_2_new = []
        title_big = yijibiaoti_content["title_big"]
        for erjibiaoti_content in yijibiaoti_content["content_2"]:
            title_small = erjibiaoti_content["title_small"]
            content_3 = zhanweifu[erjibiaoti_content["content_3"]]
            content_2_new.append({
                "title_small": title_small,
                "content_3": content_3
            })
        content_1_new.append({
            "title_big": title_big,
            "content_2": content_2_new
        })


    data_new = {
        "title": file_name,
        "catalogue": catalogue,
        "content_1": content_1_new
    }

    # with open("data/ceshi.json", "w", encoding="utf-8") as f:
    #     f.write(json.dumps(data_new, ensure_ascii=False, indent=2))

    return data_new

@app.route('/predict', methods=['POST'])
def upload_file():

    if 'file' not in request.files:
        return "1"

    file = request.files.get('file')

    if file and allowed_file(file.filename):
        path = os.path.join(app.config['UPLOAD_FOLDER'], file.filename)
        print(path)
        file.save(path)
        # file.save(file.filename)

        result = main(path)
        return_text = {"texts": result, "probabilities": None, "status_code": 200}

        log.log('start at',
                'filename:{}, result:{}'.format(
                    path, return_text))
        return jsonify(return_text)
    else:
        return "不允许的文件类型"

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=21000, threaded=True)