90 lines
3.3 KiB
Python
90 lines
3.3 KiB
Python
import pandas as pd
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import os
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import html2text
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import sys
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current_dir = os.getcwd()
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wechat_dir = os.path.join(current_dir, 'wechat_dir')
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web_dir = os.path.join(current_dir, 'web_dir')
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df_s = pd.read_excel('biao.xlsx', sheet_name='筛查内容')
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def trans_to_json():
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json_str = df_s.to_json(orient='records', force_ascii=False)
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with open('biao.json', 'w', encoding='utf-8') as f:
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f.write(json_str)
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def make_wechat_articles_full():
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df = pd.read_csv(os.path.jon(wechat_dir, 'articles.csv'), encoding='gb18030')
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df['content'] = ''
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ind = 0
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for ind, row in df.iterrows():
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full_path = os.path.join(wechat_dir, row['nickname'], row['id'] + '.html')
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try:
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with open(full_path, encoding='utf-8') as f:
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h = html2text.HTML2Text()
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h.ignore_links = True
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df.at[ind, 'content'] = h.handle(f.read())
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print(f'{ind}--{row["nickname"]}--{row["title"]}')
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except:
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print(full_path + '---不存在')
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ind +=1
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df.to_csv('articles_full.csv', encoding='utf-8_sig')
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def ana_wechat():
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articles_full_path = os.path.jon(wechat_dir, 'articles_full.csv')
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if not os.path.exists(articles_full_path):
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make_wechat_articles_full()
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df_a = pd.DataFrame(columns = ['公众号', '标题', '地址', '错误表述', '建议修改词语', '错误分类'])
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df = pd.read_csv(articles_full_path)
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df['content'] = df['content'].fillna('')
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ind = 0
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need_save = False
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for ind, row in df_s.iterrows():
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mask = df['content'].str.contains(row['错误表述'])
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result = df[mask]
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if result.empty:
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continue
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ind2 = 0
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for ind2, row2 in result.iterrows():
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alist = [row2['nickname'], row2['title'], row2['content_url'], row['错误表述'], row['建议修改词语'], row['错误分类']]
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print(alist)
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df_a.loc[len(df_a.index)] = alist
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if need_save is False:
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need_save = True
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ind2 +=1
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ind +=1
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if need_save:
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df_a.to_csv('ana_wechat.csv', encoding='utf-8_sig')
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def ana_web():
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df_a = pd.DataFrame(columns = ['单位', '主办', '地址', '错误表述', '建议修改词语', '错误分类'])
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need_save = False
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for file in os.listdir(web_dir):
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full_path = os.path.join(web_dir, file)
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if os.path.getsize(full_path) > 0:
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df = pd.read_csv(os.path.join(web_dir, file), encoding='gb18030')
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ind = 0
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for ind, row in df_s.iterrows():
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mask = df['text'].str.contains(row['错误表述'])
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result = df[mask]
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if result.empty:
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continue
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ind2 = 0
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for ind2, row2 in result.iterrows():
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alist = [row2['group'], row2['name'], row2['url'], row['错误表述'], row['建议修改词语'], row['错误分类']]
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print(alist)
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df_a.loc[len(df_a.index)] = alist
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if need_save is False:
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need_save = True
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ind2 +=1
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ind +=1
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if need_save:
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df_a.to_csv('ana_web.csv', encoding='utf-8_sig')
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if __name__ == "__main__":
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if len(sys.argv) > 1 and sys.argv[1] == 'wechat':
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ana_wechat()
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else:
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ana_web()
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