Skip to content

fix: 修复分词超过数据库最大限制 #401

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
May 9, 2024
Merged

fix: 修复分词超过数据库最大限制 #401

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions apps/common/util/ts_vecto_util.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -85,10 +85,11 @@ def to_ts_vector(text: str):
# 替换字符串
text = replace_word(word_dict, text)
# 分词
result = jieba.posseg.lcut(text, HMM=True, use_paddle=True)
filter_word = jieba.analyse.extract_tags(text, topK=100)
result = jieba.lcut(text, HMM=True, use_paddle=True)
# 过滤标点符号
result = [item for item in result if not jieba_remove_flag_list.__contains__(item.flag)]
result_ = [{'word': get_key_by_word_dict(result[index].word, word_dict), 'index': index} for index in
result = [item for item in result if filter_word.__contains__(item) and len(item) < 10]
result_ = [{'word': get_key_by_word_dict(result[index], word_dict), 'index': index} for index in
range(len(result))]
result_group = group_by(result_, lambda r: r['word'])
return " ".join(
Expand Down