majiahui@haimaqingfan.com
1 year ago
commit
87a2bd987e
3 changed files with 472 additions and 0 deletions
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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Title</title> |
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</head> |
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<body> |
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<tbStart>\\n<table>\\n<tr>\\n<td>功能</td>\\n<td>描述</td>\\n<td>实现方式</td>\\n</tr>\\n<tr>\\n<td>电影资料库</td>\\n<td>存储电影的详细信息</td>\\n<td>数据库设计</td>\\n</tr>\\n<tr>\\n<td>搜索引擎</td>\\n<td>帮助用户快速找到想看的电影</td>\\n<td>关键字匹配算法</td>\\n</tr>\\n<tr>\\n<td>用户注册与管理</td>\\n<td>管理用户账号和权限</td>\\n<td>会员管理系统</td>\\n</tr>\\n<tr>\\n<td>评论与社区交流</td>\\n<td>提供用户发表评论和交流的平台</td>\\n<td>论坛功能集成</td>\\n</tr>\\n<tr>\\n<td>票务预订与支付</td>\\n<td>在线购票和支付功能</td>\\n<td>接口集成第三方支付</td>\\n</tr>\\n<tr>\\n<td>视频播放服务</td>\\n<td>提供电影在线观看</td>\\n<td>流媒体传输技术</td>\\n</tr>\\n</table>\\n\\n<tbEnd> |
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</body> |
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</html> |
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{ |
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"title": "uploads\\Python_.docx", |
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"catalogue": [ |
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"一、 绪论", |
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"二、 电影网站设计的基本概念", |
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"三、 Python在电影网站设计中的应用", |
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"五、 电影网站设计的实践与展望" |
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], |
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"content_1": [ |
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{ |
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"title_big": "一、 绪论", |
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"content_2": [ |
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{ |
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"title_small": "1.1 研究背景", |
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"content_3": [ |
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"数字媒体内容消费，尤其是电影在线观看、评论和分享的需求，推动了电影网站的发展。", |
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"Python语言因其简洁语法、强大库支持和丰富框架，在电影网站设计中占据重要地位，并面临用户体验优化、数据安全与隐私保护以及内容版权管理等挑战。", |
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"研究旨在通过深入探讨Python在电影网站设计中的应用，提供高效、安全、用户友好的解决方案，为电影行业的数字化转型贡献力量。" |
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] |
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}, |
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{ |
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"title_small": "1.2 研究目的", |
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"content_3": [ |
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"本研究旨在通过分析和实践，探讨Python在电影网站开发中的优势及应用方式。", |
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"研究将评估Python在处理电影数据、开发动态网页、实现用户交互等方面的实际应用情况。", |
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"研究旨在提出一套完整的电影网站设计方案，并总结电影网站设计与开发的实践经验。" |
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] |
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}, |
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{ |
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"title_small": "1.3 研究意义", |
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"content_3": [ |
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"本研究聚焦于使用Python在电影网站设计中的应用，以提升开发效率和降低项目风险。", |
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"探讨了电影网站设计不仅是技术问题，也涉及内容与形式的艺术创作，旨在吸引用户并提供良好的用户体验。", |
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"研究包括对电影网站的基本概念、特点及功能的系统梳理，并将探讨电影网站设计的技术实现，如数据库设计、前端界面设计及后台逻辑处理等。", |
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"展望了电影网站设计的未来发展趋势，包括利用新兴技术如人工智能、大数据分析来优化设计，并预测可能出现的新型电影网站模式。" |
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] |
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} |
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] |
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}, |
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{ |
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"title_big": "二、 电影网站设计的基本概念", |
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"content_2": [ |
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{ |
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"title_small": "2.1 电影网站的定义", |
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"content_3": [ |
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"电影网站通过互联网提供电影信息、观影服务和用户交流等功能。", |
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"核心功能包括电影资料库、搜索引擎、用户注册与管理、评论与社区交流、票务预订与支付、视频播放服务等。", |
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"利用HTML5和CSS3技术优化用户体验，采用Python语言开发后台逻辑提高效率，并运用人工智能技术如推荐算法增强用户粘性。" |
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] |
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}, |
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{ |
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"title_small": "2.2 电影网站的特点", |
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"content_3": [ |
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"电影网站提供内容丰富性，包括电影简介、评分、评论和演员阵容等。", |
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"电影网站支持用户交互性，如注册、评论、打分和分享功能。", |
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"电影网站运用技术应用性，例如云计算、大数据分析和人工智能推荐系统来提升用户体验。" |
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] |
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}, |
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{ |
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"title_small": "2.3 电影网站的功能", |
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"content_3": [ |
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"电影网站的设计功能对用户体验和使用效率有直接影响。", |
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"常见的电影网站核心功能包括搜索、分类浏览、详细信息查看、在线观看、评论区、用户注册与登录以及推荐系统。", |
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"搜索功能允许用户通过关键字查找电影。", |
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"分类浏览按照电影类型、年份等进行分类展示。", |
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"详细信息查看提供电影的剧情简介、演员阵容、评分等信息。", |
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"在线观看支持用户在线观看电影，而推荐系统根据用户历史行为和偏好推荐电影。" |
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] |
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} |
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] |
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}, |
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{ |
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"title_big": "三、 Python在电影网站设计中的应用", |
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"content_2": [ |
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{ |
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"title_small": "3.1 Python的优势", |
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"content_3": [ |
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"Python以其简洁易读的语法著称，提高了开发效率。", |
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"Python拥有丰富的库支持，特别是Flask或Django框架和Pandas、NumPy库，适合电影网站的开发和数据分析。", |
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"Python是跨平台的编程语言，能在不同操作系统上运行，便于电影网站的部署。", |
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"Python具备高效的数据处理能力，尤其适用于大量电影数据的存储、检索和分析。", |
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"Python的动态类型系统为开发人员提供灵活性，有助于快速迭代和修改代码。", |
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"Python有一个庞大而活跃的开发者社区，提供教程、文档和论坛等资源，帮助解决技术难题。" |
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] |
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}, |
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{ |
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"title_small": "3.2 Python在网站开发中的应用", |
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"content_3": [ |
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"Python在网站开发中的应用非常广泛，尤其是在数据处理和后端逻辑处理方面表现突出。", |
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"Python通过其强大的库支持和简洁明了的语法，以及异步编程特性，提高了网站开发的效率和响应速度。" |
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] |
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}, |
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{ |
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"title_small": "3.3 Python在电影网站设计中的具体应用", |
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"content_3": [ |
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"Python提供了强大的库，如NumPy和Pandas，用于数据处理和分析。", |
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"Python的Flask和Django框架以及SQLAlchemy工具简化了后端开发和数据库管理。" |
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] |
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} |
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] |
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}, |
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{ |
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"title_big": "五、 电影网站设计的实践与展望", |
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"content_2": [ |
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{ |
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"title_small": "5.1 实践经验总结", |
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"content_3": [ |
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"Python框架选择：Django和Flask都广泛应用，但Django因其全面的功能更适合大型项目。", |
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"数据库设计：合理的数据库设计对于网站性能至关重要，MySQL和PostgreSQL是两种常用的选择。", |
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"安全性考虑：防止SQL注入、XSS攻击和CSRF攻击是保障网站安全的关键措施。" |
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] |
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}, |
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{ |
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"title_small": "5.2 存在问题与改进方向", |
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"content_3": [ |
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"内容更新速度慢：电影网站无法及时更新最新电影信息，需要优化后台数据处理流程和加强与电影发行方合作。", |
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"安全性问题突出：面临数据泄露、恶意软件侵入等风险，需加强网站的安全防护措施。", |
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"移动端适配不足：智能手机普及但部分网站未能良好适配移动端，需优化响应式网页设计。" |
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] |
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}, |
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{ |
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"title_small": "5.3 未来发展趋势", |
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"content_3": [ |
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"人工智能与机器学习的深度融合，实现个性化内容推荐和界面布局。", |
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"增强现实（AR）和虚拟现实（VR）技术应用，提供沉浸式观影体验。", |
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"云计算和边缘计算的广泛使用，提高资源分配效率和数据处理速度。", |
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"区块链技术探索，建立透明、安全的版权保护机制。", |
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"跨平台整合发展，实现手机APP、桌面网站及智能电视应用的无缝连接。", |
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"社交功能加强，促进用户互动，增加用户粘性和网站活跃度。" |
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] |
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} |
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] |
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} |
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] |
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} |
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from docx import Document |
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import os |
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os.environ['ALL_PROXY'] = 'http://127.0.0.1:10809' |
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import docx |
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import json |
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import re |
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from docx.document import Document |
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from docx.oxml.table import CT_Tbl |
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from docx.oxml.text.paragraph import CT_P |
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from docx.table import _Cell, Table |
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from docx.text.paragraph import Paragraph |
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import requests |
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import random |
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import time |
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from flask import Flask, render_template, request, redirect, url_for, jsonify |
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from werkzeug.utils import secure_filename |
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app = Flask(__name__) |
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# 上传文件存储目录 |
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UPLOAD_FOLDER = 'uploads' |
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app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER |
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# 正则表达式 |
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RE_CHINA_NUMS = "[1-9].(.*)" |
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# 允许的文件类型 |
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ALLOWED_EXTENSIONS = {'docx'} |
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pantten_mulu = '目录(.*?)致谢' |
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pantten_xiaobiaoti = "{}(.*?){}" |
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pantten_yijibiaoti = '^([一二三四五六七八九])、(.*)' |
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pantten_erjibiaoti = '^[0-9](\.[0-9]\d*){1}\s{1,}?.*$' |
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pantten_content_tiaoshu = '[0-9]\.{1}\s{0,}?(.*)' |
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pantten_yijibiaoti_content = '^[一二三四五六七八九]、(.*)' |
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pantten_erjibiaoti_content = '^[0-9]\.[0-9]\s{1,}?(.*)$' |
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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" |
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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" |
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pantten_title = "为论文题目“(.*?)”生成中文目录" |
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pantten_xiaobiaoti_geshu = "每个一级标题包含(.*?)个" |
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pantten_dabiaoti_geshu = "一级标题生成(.*?)个" |
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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" |
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self_api = "http://192.168.31.149:12004/predict" |
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gpt_api = "https://api.openai.com/v1/chat/completions" |
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class log: |
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def __init__(self): |
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pass |
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def log(*args, **kwargs): |
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format = '%Y/%m/%d-%H:%M:%S' |
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format_h = '%Y-%m-%d' |
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value = time.localtime(int(time.time())) |
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dt = time.strftime(format, value) |
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dt_log_file = time.strftime(format_h, value) |
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log_file = 'log_file/access-%s' % dt_log_file + ".log" |
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if not os.path.exists(log_file): |
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with open(os.path.join(log_file), 'w', encoding='utf-8') as f: |
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print(dt, *args, file=f, **kwargs) |
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else: |
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with open(os.path.join(log_file), 'a+', encoding='utf-8') as f: |
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print(dt, *args, file=f, **kwargs) |
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def allowed_file(filename): |
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS |
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def iter_block_items(parent): |
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""" |
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Yield each paragraph and table child within *parent*, in document order. |
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Each returned value is an instance of either Table or Paragraph. *parent* |
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would most commonly be a reference to a main Document object, but |
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also works for a _Cell object, which itself can contain paragraphs and tables. |
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""" |
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if isinstance(parent, Document): |
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parent_elm = parent.element.body |
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elif isinstance(parent, _Cell): |
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parent_elm = parent._tc |
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else: |
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raise ValueError("something's not right") |
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for child in parent_elm.iterchildren(): |
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if isinstance(child, CT_P): |
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yield Paragraph(child, parent) |
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elif isinstance(child, CT_Tbl): |
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yield Table(child, parent) |
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def read_table(table): |
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return [[cell.text for cell in row.cells] for row in table.rows] |
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def read_word(word_path): |
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paper_text = [] |
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doc = docx.Document(word_path) |
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for block in iter_block_items(doc): |
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if isinstance(block, Paragraph): |
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paper_text.append(block.text) |
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elif isinstance(block, Table): |
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table_list = read_table(block) |
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table_list_new = [] |
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for row in table_list: |
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table_list_new.append("<td>" + "</td>\n<td>".join(row) + "</td>") |
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table_str = "\n<tr>\n" + "\n</tr>\n<tr>\n".join(table_list_new) + "\n</tr>\n" |
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table_str = "<tbStart>\n<table>" + table_str + "</table>\n\n<tbEnd>" |
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paper_text.append(table_str) |
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paper_text = "\n".join(paper_text) |
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return paper_text |
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def getText(fileName): |
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doc = docx.Document(fileName) |
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TextList = [] |
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for paragraph in doc.paragraphs: |
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TextList.append(paragraph.text) |
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return '\n'.join(TextList) |
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def request_selfmodel_api(prompt): |
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print(prompt) |
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url = "http://192.168.31.149:12004/predict" |
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data = { |
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"model": "gpt-4-turbo-preview", |
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"messages": [ |
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{"role": "user", "content": prompt} |
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], |
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"top_p": 0.7, |
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"temperature": 0.95 |
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} |
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response = requests.post( |
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url, |
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json=data, |
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timeout=100000 |
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) |
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return response.json() |
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def request_chatgpt_api(prompt): |
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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(fileName): |
||||
|
# fileName = "data/基于Python的电影网站设计_范文.docx" |
||||
|
text_1 = json.dumps(read_word(fileName), 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) |
||||
|
content_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 |
||||
|
|
||||
|
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'] |
||||
|
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()) |
||||
|
content_2.append({ |
||||
|
"title_small": re.findall(pantten_erjibiaoti_content, erjibiaoti)[0], |
||||
|
"content_3": tiaoshu_list_new |
||||
|
}) |
||||
|
content_1.append({ |
||||
|
"title_big": yijibiaoti_content, |
||||
|
"content_2": content_2 |
||||
|
}) |
||||
|
|
||||
|
data_new = { |
||||
|
"title": fileName, |
||||
|
"catalogue": catalogue, |
||||
|
"content_1": content_1 |
||||
|
} |
||||
|
|
||||
|
# 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): |
||||
|
filename = secure_filename(file.filename) |
||||
|
path = os.path.join(app.config['UPLOAD_FOLDER'], filename) |
||||
|
print(path) |
||||
|
file.save(path) |
||||
|
|
||||
|
|
||||
|
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) |
||||
Loading…
Reference in new issue