对比输出到summary
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xiaobulu27
parent
32e0934792
commit
9a8afacbfb
99
main.py
99
main.py
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@ -1,11 +1,11 @@
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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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output_dir = os.path.join(current_dir, 'summary')
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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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@ -14,9 +14,8 @@ def trans_to_json():
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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.join(wechat_dir, 'articles.csv'), encoding='gb18030')
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df = pd.read_excel(os.path.join(wechat_dir, 'articles.xlsx'))
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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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@ -27,7 +26,6 @@ def make_wechat_articles_full():
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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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output_path = os.path.join(wechat_dir, 'articles_full.csv')
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df.to_csv(output_path, encoding='utf-8_sig')
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@ -35,56 +33,75 @@ def ana_wechat():
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articles_full_path = os.path.join(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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output_data = []
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index = 1
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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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if not result.empty:
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for ind2, row2 in result.iterrows():
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output_row = [
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index,
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row2['nickname'],
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row2['title'],
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row['错误表述'],
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row['建议修改词语'],
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row['错误分类'],
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row2['content_url']
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]
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output_data.append(output_row)
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index += 1
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output_data.insert(0, ['序号', '信源名称', '文章标题', '错误表述', '建议修改词语', '错误分类', '原文链接'])
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return output_data
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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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output_data = []
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index = 1
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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_excel(os.path.join(web_dir, file))
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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'], na=False)
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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 not result.empty:
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for ind2, row2 in result.iterrows():
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output_row = [
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index,
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row2['name'],
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"文章标题",
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row['错误表述'],
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row['建议修改词语'],
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row['错误分类'],
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row2['content_url']
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]
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output_data.append(output_row)
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index += 1
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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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output_data.insert(0, ['序号', '信源名称', '文章标题', '错误表述', '建议修改词语', '错误分类', '原文链接'])
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return output_data
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# Run WeChat Analysis
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wechat_results = ana_wechat()
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# Run Web Content Analysis
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web_results = ana_web()
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# Save results in an Excel file with two sheets
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output_excel_path = os.path.join(output_dir, '总院及下属公司官方公众号巡查结果汇总表.xlsx')
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with pd.ExcelWriter(output_excel_path) as writer:
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wechat_results.to_excel(writer, sheet_name='公众号', index=False)
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web_results.to_excel(writer, sheet_name='网站', index=False)
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print("Analysis completed and results saved to Excel.")
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