def subjective_measure(filepath, subject_list):
pool = Pool()
subject_score = 0
subject_score_dic = {}
xml_file = etree.parse(filepath)
root_node = xml_file.getroot()[0]
process_res = {}
logger.info('subject' + str(subject_list) + '!!!!!!!!!!!!!!')
if 'copy_detect_index' in subject_list:
# tmp_score, copy_detect_res = copy_detect_index(root_node)
# subject_score += tmp_score
# subject_score_dic['copy_detect_index'] = [tmp_score, cf.copy_detect_score]
process_res['copy_detect_index'] = pool.apply_async(
copy_detect_index, (root_node, ))
else:
subject_score += cf.copy_detect_score
print('copy_dect:', cf.copy_detect_score)
if 'sentiment_index' in subject_list:
# tmp_score, sentiment_res = sentiment_index(root_node)
process_res['sentiment_index'] = pool.apply_async(
sentiment_index, (root_node, ))
# subject_score += tmp_score
# subject_score_dic['sentiment_index'] = [tmp_score, cf.sentiment_classify_score]
else:
# subject_score_dic['sentiment_index'] = [cf.sentiment_classify_score, cf.sentiment_classify_score]
subject_score += cf.sentiment_classify_score
print('sentiment_index:', cf.sentiment_classify_score)
if 'text_style_classification' in subject_list:
process_res['text_style_classification'] = pool.apply_async(
text_style_classification, (root_node, ))
# subject_score += tmp_score
# subject_score_dic['text_style_classification'] = [tmp_score, cf.text_style_classify_score]
else:
# subject_score_dic['text_style_classification'] = [cf.text_style_classify_score,
# cf.text_style_classify_score]
subject_score += cf.text_style_classify_score
print('text_style_classification:', cf.text_style_classify_score)
if 'law_articles_rational' in subject_list:
process_res['law_articles_rational'] = pool.apply_async(
law_index, (filepath, ))
# tmp_score, law_articles_res = law_index(filepath)
# subject_score += tmp_score
# subject_score_dic['law_articles_rational'] = [tmp_score, cf.law_articles_rational_score]
else:
# if 'law_articles_rational_' not in index_dic.keys():
# subject_score_dic['law_articles_rational'] = [cf.law_articles_rational_score,
# cf.law_articles_rational_score]
subject_score += cf.law_articles_rational_score
print('law_article_index:', cf.law_articles_rational_score)
pool.close()
pool.join()
law_articles_res, sentiment_res, text_style_res, copy_detect_res, subject_score_dic, subject_score, res = func_process(
subject_score_dic, subject_score, process_res)
return subject_score, subject_score_dic, law_articles_res, sentiment_res, text_style_res, copy_detect_res
def extra():
if request.method == 'GET':
news = request.args.get('s')
elif request.method == 'POST':
news = request.form['news']
else:
news = ''
logger.info(news)
if not news:
# return '<script>alert("没有输入内容！")</script>'
news = "国台办表示中国必然统一。会尽最大努力争取和平统一，但绝不承诺放弃使用武力。台湾人民说回归中国好啊"
news_parse = ltp_manager.get_sentences_json_result(news)
logger.info(news_parse)
if isinstance(news_parse, list):
infos_type = "list"
logger.info('parse is list')
else:
infos_type = 'str'
logger.info('parse is str')
logger.info(infos_type)
return render_template('extra.html', infos=news_parse, infos_type=infos_type, fly_str=base64_encode(news[:500]))
def home():
logger.info('访问/home 主页')
return render_template('home.html')
@app.route('/extra', methods=['GET', 'POST'])
def extra():
if request.method == 'GET':
news = request.args.get('s')
elif request.method == 'POST':
news = request.form['news']
else:
news = ''
logger.info(news)
if not news:
# return '<script>alert("没有输入内容！")</script>'
news = "国台办表示中国必然统一。会尽最大努力争取和平统一，但绝不承诺放弃使用武力。台湾人民说回归中国好啊"
news_parse = ltp_manager.get_sentences_json_result(news)
logger.info(news_parse)
if isinstance(news_parse, list):
infos_type = "list"
logger.info('parse is list')
else:
infos_type = 'str'
logger.info('parse is str')
logger.info(infos_type)
return render_template('extra.html', infos=news_parse, infos_type=infos_type, fly_str=base64_encode(news[:500]))
if __name__ == "__main__":
logger.info('初始化pyLtpModel')
ltp_manager = LtpModel(LTP_DATA_DIR)
logger.info('初始化jiebaModel')
jieba.initialize()
app.run(host='0.0.0.0', port=8088)