沃巴蒂
ff22ed3a8b
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）
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
#!/user/bin/python
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# -*- coding: utf-8 -*-
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"""
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Description: 图注表注去除
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Create: 2024/12/5 15:43
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"""
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import re
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import time
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from typing import Dict, Any
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from loguru import logger
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from deepdata.core.base_op import Mapper
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class LegendCleaner(Mapper):
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@staticmethod
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def _get_legend_re_compile():
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chinese_legend_prefix = r"(图|表|图片|表格)"
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chinese_legend_number = r"(\d+((\.|-)\d+)*|[a-zA-Z]{1,2}((\.|-)\d+)*)"
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chinese_legend_pattern = r"(?<=\n)" + chinese_legend_prefix + "( )*" + chinese_legend_number + " +.*\n"
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english_legend_pattern = r"(Figure|Table|Fig\.?)"
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english_legend_number = r"(S?\d+((\.|-)\d+)*|[a-zA-Z]{1,2}\d?((\.|-)\d+)*)"
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english_legend_pattern = (r"(?<=\n)" + english_legend_pattern + "( )*"
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+ english_legend_number + r"(\.|:)? +.*\n")
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legend_re_compile = re.compile('|'.join([chinese_legend_pattern, english_legend_pattern]), re.IGNORECASE)
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return legend_re_compile
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@classmethod
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def _clean_html_tag(cls, input_data: str):
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"""移除文档中图注表注等"""
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input_data = ''.join(['\n', input_data, '\n'])
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text = cls._get_legend_re_compile().sub("", input_data)
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return text[1:-1]
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def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]:
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start = time.time()
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self.read_file_first(sample)
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sample[self.text_key] = self._clean_html_tag(sample[self.text_key])
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logger.info(f"fileName: {sample[self.filename_key]}, method: LegendCleaner costs {time.time() - start:.6f} s")
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return sample
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