修改项目结构+7,4 一部分
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docs/chapter7/RAG/utils.py
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160
docs/chapter7/RAG/utils.py
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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'''
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@File : utils.py
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@Time : 2024/02/11 09:52:26
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@Author : 不要葱姜蒜
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@Version : 1.0
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@Desc : None
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'''
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import os
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from typing import Dict, List, Optional, Tuple, Union
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import PyPDF2
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import markdown
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import html2text
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import json
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from tqdm import tqdm
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import tiktoken
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from bs4 import BeautifulSoup
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import re
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enc = tiktoken.get_encoding("cl100k_base")
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class ReadFiles:
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"""
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class to read files
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"""
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def __init__(self, path: str) -> None:
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self._path = path
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self.file_list = self.get_files()
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def get_files(self):
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# args:dir_path,目标文件夹路径
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file_list = []
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for filepath, dirnames, filenames in os.walk(self._path):
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# os.walk 函数将递归遍历指定文件夹
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for filename in filenames:
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# 通过后缀名判断文件类型是否满足要求
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if filename.endswith(".md"):
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# 如果满足要求,将其绝对路径加入到结果列表
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file_list.append(os.path.join(filepath, filename))
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elif filename.endswith(".txt"):
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file_list.append(os.path.join(filepath, filename))
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elif filename.endswith(".pdf"):
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file_list.append(os.path.join(filepath, filename))
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return file_list
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def get_content(self, max_token_len: int = 600, cover_content: int = 150):
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docs = []
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# 读取文件内容
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for file in self.file_list:
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content = self.read_file_content(file)
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chunk_content = self.get_chunk(
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content, max_token_len=max_token_len, cover_content=cover_content)
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docs.extend(chunk_content)
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return docs
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@classmethod
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def get_chunk(cls, text: str, max_token_len: int = 600, cover_content: int = 150):
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chunk_text = []
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curr_len = 0
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curr_chunk = ''
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token_len = max_token_len - cover_content
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lines = text.splitlines() # 假设以换行符分割文本为行
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for line in lines:
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line = line.replace(' ', '')
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line_len = len(enc.encode(line))
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if line_len > max_token_len:
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# 如果单行长度就超过限制,则将其分割成多个块
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num_chunks = (line_len + token_len - 1) // token_len
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for i in range(num_chunks):
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start = i * token_len
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end = start + token_len
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# 避免跨单词分割
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while not line[start:end].rstrip().isspace():
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start += 1
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end += 1
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if start >= line_len:
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break
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curr_chunk = curr_chunk[-cover_content:] + line[start:end]
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chunk_text.append(curr_chunk)
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# 处理最后一个块
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start = (num_chunks - 1) * token_len
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curr_chunk = curr_chunk[-cover_content:] + line[start:end]
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chunk_text.append(curr_chunk)
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if curr_len + line_len <= token_len:
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curr_chunk += line
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curr_chunk += '\n'
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curr_len += line_len
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curr_len += 1
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else:
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chunk_text.append(curr_chunk)
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curr_chunk = curr_chunk[-cover_content:]+line
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curr_len = line_len + cover_content
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if curr_chunk:
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chunk_text.append(curr_chunk)
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return chunk_text
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@classmethod
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def read_file_content(cls, file_path: str):
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# 根据文件扩展名选择读取方法
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if file_path.endswith('.pdf'):
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return cls.read_pdf(file_path)
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elif file_path.endswith('.md'):
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return cls.read_markdown(file_path)
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elif file_path.endswith('.txt'):
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return cls.read_text(file_path)
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else:
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raise ValueError("Unsupported file type")
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@classmethod
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def read_pdf(cls, file_path: str):
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# 读取PDF文件
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with open(file_path, 'rb') as file:
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reader = PyPDF2.PdfReader(file)
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text = ""
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for page_num in range(len(reader.pages)):
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text += reader.pages[page_num].extract_text()
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return text
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@classmethod
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def read_markdown(cls, file_path: str):
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# 读取Markdown文件
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with open(file_path, 'r', encoding='utf-8') as file:
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md_text = file.read()
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html_text = markdown.markdown(md_text)
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# 使用BeautifulSoup从HTML中提取纯文本
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soup = BeautifulSoup(html_text, 'html.parser')
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plain_text = soup.get_text()
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# 使用正则表达式移除网址链接
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text = re.sub(r'http\S+', '', plain_text)
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return text
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@classmethod
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def read_text(cls, file_path: str):
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# 读取文本文件
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with open(file_path, 'r', encoding='utf-8') as file:
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return file.read()
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class Documents:
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"""
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获取已分好类的json格式文档
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"""
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def __init__(self, path: str = '') -> None:
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self.path = path
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def get_content(self):
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with open(self.path, mode='r', encoding='utf-8') as f:
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content = json.load(f)
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return content
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