Files
沃巴蒂 ff22ed3a8b feat(deepdata): 引入修改密码、文件预览组件与清洗算子增强,deepflow 改名为 deep-flow
本次同步 09-12 至 09-28 的代码变更,主要内容:

新增功能
- 修改密码:后端新增 ChangePasswordRequest DTO 与UserController/UserService
  对应接口,前端新增 ChangePasswordDialog 并在 Header 接入入口
- 文件预览组件重构:file-preview 目录拆分出 VideoPreview(支持 blobUrl 直传)、
  ImagePreview、AudioPreview,index.tsx 统一调度各类型预览器
- 新增 my_ops 算子模块:markitdown_parser、mineru_pdf_parser、text_quality_evaluator
- 新增 tools/minio-file-server MinIO 文件服务

功能增强
- 数据清洗:cleaning_task_service/scheduler/routes 重构,
  data_juicer_executor 与 wrapper 增强,OperatorTable/LogsTable/TaskDetail 同步调整
- 数据标注:annotation sync.py、project.py 接口与schema 更新
- 数据采集、算子市场、首页与菜单路由相关页面调整
- DataJuicer 算子接入(useOperatorOperations、dj_ops_schema)

结构调整
- deepflow/ 更名为 deep-flow/(419 个文件重命名)
- 新增 helm 部署编排、GitHub Actions 之外的自建镜像构建脚本

未纳入本次提交
- scripts-backup/、runtime/python-executor-backup/、components_backup/(备份目录)
- *.backup*、__pycache__ 产物
- zh_core_web_sm-3.8.0-py3-none-any.whl(46MB 构建产物)
- DataX/(内嵌独立仓库,远程亦未收录其源码)
2026-10-03 22:44:56 +08:00

69 lines
2.3 KiB
Python

#!/user/bin/python
# -*- coding: utf-8 -*-
"""
Description: 政治文本过滤
Create: 2024/12/26 15:43
"""
import time
from pathlib import Path
from typing import Dict, Any
from loguru import logger
from deepdata.common.utils.aho_corasick import AhoCorasic
from deepdata.core.base_op import Mapper
class PoliticalWordCleaner(Mapper):
"""外部输入的政治文本过滤插件"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
root_path = Path(__file__).parent / 'resources'
political_file_path = str(root_path / 'political.txt')
special_symbols_path = str(root_path / 'special_symbols.txt')
self.special_symbols = self.load_words_list(special_symbols_path)
self.political_words = self.load_words_list(political_file_path)
self.ac_automaton = AhoCorasic(self.political_words)
@staticmethod
def load_words_list(path):
"""词表加载"""
with open(path, 'r', encoding='utf-8') as f:
words = set(f.read().splitlines())
return words
@staticmethod
def words_replace(target_strings: list, text: str):
"""
目标字符串替换。
Args:
target_strings: 前缀树根节点。
text: 待清洗文本。
returns:
清洗后文本。
"""
target_strings.sort(key=lambda x: -len(x))
for s in target_strings:
tmp_text = text.replace(s, '*' * len(s))
text = tmp_text
return text
def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]:
start = time.time()
self.read_file_first(sample)
sample[self.text_key] = self._political_word_filter(sample[self.text_key])
logger.info(
f"fileName: {sample[self.filename_key]}, method: PoliticalWordCleaner costs {time.time() - start:.6f} s")
return sample
def _political_word_filter(self, text):
"""词语过滤主函数,分行过滤"""
filtered_rows = []
for row in text.split('\n'):
matched_words = self.ac_automaton.search(row, self.special_symbols)
filtered_rows.append(self.words_replace(matched_words, row))
return '\n'.join(filtered_rows)