172 lines
5.0 KiB
Python
172 lines
5.0 KiB
Python
import json
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import re
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import pandas as pd
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import requests
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from config import *
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def text_detection(text):
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"""
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百度检验文字是否违规
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:param text:
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:return:
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"""
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url = "https://aip.baidubce.com/rest/2.0/solution/v1/text_censor/v2/user_defined?access_token=" + get_baidu_access_token()
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payload = 'text=' + text
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headers = {
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'Content-Type': 'application/x-www-form-urlencoded',
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'Accept': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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content = str(response.text)
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data = json.loads(content)
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print(data)
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# 安全地获取 conclusion 字段，如果不存在则返回默认值
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conclusion = data.get('conclusion', '合规')
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return conclusion
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def get_baidu_access_token():
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"""
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使用 AK，SK 生成鉴权签名（Access Token），百度信息获取
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:return: access_token，或是None(如果错误)
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"""
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API_KEY = CONFIG['Baidu']['api_key']
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SECRET_KEY = CONFIG['Baidu']['secret_key']
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url = "https://aip.baidubce.com/oauth/2.0/token"
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params = {"grant_type": "client_credentials", "client_id": API_KEY, "client_secret": SECRET_KEY}
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return str(requests.post(url, params=params).json().get("access_token"))
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def safe_filename(filename):
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"""
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处理文件名，移除或替换不安全的字符
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"""
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# 替换Windows文件系统中不允许的字符
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invalid_chars = '<>:"/\\|?*'
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for char in invalid_chars:
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filename = filename.replace(char, '_')
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# 去除首尾空格和点
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filename = filename.strip('. ')
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# 如果文件名为空，使用默认名称
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if not filename:
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filename = 'untitled'
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return filename
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def safe_open_directory(directory_path):
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"""
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安全创建目录，确保路径格式正确并创建所有必要的父目录
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"""
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try:
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# 规范化路径
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directory_path = os.path.normpath(directory_path)
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if not os.path.exists(directory_path):
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os.makedirs(directory_path, exist_ok=True)
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os.chmod(directory_path, 0o777)
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except Exception as e:
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# 打印日志并保存到日志文件中
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logging.error(f"创建目录失败: {e}")
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raise
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def check_keywords_in_text(text):
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"""
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检查文本中是否包含违禁词
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:param text:
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:return:
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"""
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keywords = CONFIG['Keywords']['banned_words'].split(',')
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for keyword in keywords:
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if keyword.strip() in text:
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return True
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return False
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def extract_content_until_punctuation(text, punctuations=r'[，。！？；]'):
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"""
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截取一段话中从开始到最近的标点符号的内容。
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:param text: 输入的文本
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:param punctuations: 标点符号的正则表达式模式，默认为"，"，"。"，"！"，"？"，"；"
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:return: 截取的内容
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"""
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# 使用正则表达式查找标点符号的位置
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match = re.search(punctuations, text)
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if match:
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# 如果找到标点符号，截取从开始到标点符号之前的部分
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return text[:match.end()].strip()
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else:
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# 如果没有找到标点符号，返回整个文本
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return text.strip()
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# 读取Excel表格链接列和类型列的内容并将内容以元组列表的形式返回
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def read_excel(file_name):
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datas = pd.read_excel(file_name)
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first_column_name = datas.columns[0] # 链接列
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type_column_name = '领域' # 类型列
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links = datas[first_column_name].tolist()
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# 如果存在类型列就读取，不存在则为默认类型
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types = datas[type_column_name].tolist() if type_column_name in datas.columns else ['默认'] * len(links)
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# 将链接和类型组合成元组列表
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result = list(zip(links, types))
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print(result)
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return result
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from typing import Tuple
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def handle_duplicate_files_advanced(folder_path: str, filename: str) -> Tuple[str, bool]:
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"""
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增强版：处理文件夹中的同名文件，支持更复杂的场景
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参数:
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folder_path: 文件夹路径
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filename: 原始文件名
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返回:
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Tuple[str, bool]: (处理后的文件名, 是否是重命名的)
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"""
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# 首先处理文件名中的非法字符
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filename = safe_filename(filename)
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base, ext = os.path.splitext(filename)
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target_path = os.path.join(folder_path, filename)
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if not os.path.exists(target_path):
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return filename, False
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existing_files = set(os.listdir(folder_path))
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pattern = re.compile(r'^{}(_(\d+))?{}$'.format(re.escape(base), re.escape(ext)))
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# 找出所有匹配的文件并提取数字
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numbers = []
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for f in existing_files:
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match = pattern.match(f)
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if match:
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num = int(match.group(2)) if match.group(2) else 0
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numbers.append(num)
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next_num = max(numbers) + 1 if numbers else 1
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new_filename = f"{base}_{next_num}{ext}"
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# 确保新文件名也不存在（处理并发情况）
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while new_filename in existing_files:
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next_num += 1
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new_filename = f"{base}_{next_num}{ext}"
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return new_filename, True |