init datamate

runtime/ops/mapper/content_cleaner/__init__.py

@@ -0,0 +1,6 @@
+# -*- coding: utf-8 -*-
+
+from datamate.core.base_op import OPERATORS
+
+OPERATORS.register_module(module_name='ContentCleaner',
+                          module_path="ops.mapper.content_cleaner.process")

runtime/ops/mapper/content_cleaner/metadata.yml

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+name: '文档目录去除'
+name_en: 'Document Contents Removal'
+description: '去除文档中的目录。'
+description_en: 'Removes tables of contents from documents.'
+language: 'python'
+vendor: 'huawei'
+raw_id: 'ContentCleaner'
+version: '1.0.0'
+types:
+  - 'cleanse'
+modal: 'text'
+effect:
+  before: ''
+  after: ''
+inputs: 'text'
+outputs: 'text'

runtime/ops/mapper/content_cleaner/process.py

@@ -0,0 +1,64 @@
+#!/user/bin/python
+# -*- coding: utf-8 -*-
+
+"""
+Description: 文档目录去除
+Create: 2025/01/13
+"""
+import re
+import time
+from typing import Dict, Any
+
+from loguru import logger
+
+from datamate.core.base_op import Mapper
+
+
+class ContentCleaner(Mapper):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.no_content_count = 3  # 连续不符合目录结构的行数阈值
+        # 目录标题
+        self.content_text_pattern = r"^ *(目 *录|CONTENT(S)?) *$"
+        # 目录行 前缀格式
+        self.content_preface_pattern = r"^ *(前言|About This Document|\d+(\.\d+)*|[a-zA-Z]+(\.\d+)*)"
+        # 目录行 中间格式
+        self.content_middle_pattern = r"\.{7,}"
+        # 目录行 结尾格式
+        self.content_end_pattern = r"(\d|错误!未定义书签。|[IXV]+) *$"
+        self.content_pattern = self.content_preface_pattern + ".*" + self.content_end_pattern
+
+    def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]:
+        start = time.time()
+        sample[self.text_key] = self._content_filter(sample[self.text_key])
+        logger.info(f"fileName: {sample[self.filename_key]}, method: ContentCleaner costs {time.time() - start:6f} s")
+        return sample
+
+    def _content_filter(self, input_data: str):
+        count = 0  # 记录不符合目录结构的次数，连续3行不满足要求，则认为已经进入正文
+        # 目录起始和结束索引
+        content_start_index, content_end_index = -1, -1
+        lines = input_data.split("\n")
+        for i, line in enumerate(lines):
+            if content_start_index >= 0 and count >= self.no_content_count:
+                break
+            # 首先匹配目录或content字眼
+            if content_start_index < 0 and re.match(self.content_text_pattern, line, re.IGNORECASE):
+                content_start_index = i
+                content_end_index = i
+            # 匹配两种形式的目录行
+            # 1. 以指定格式开始、指定格式结尾；2.该行包含点数量超过7个
+            elif content_start_index >= 0 and (re.match(self.content_pattern, line, re.IGNORECASE)
+                                               or re.search(self.content_middle_pattern, line)):
+                content_end_index = i
+                count = 0
+            elif content_start_index >= 0 and not (re.match(self.content_pattern, line, re.IGNORECASE)
+                                                   or re.search(self.content_middle_pattern, line)):
+                count += 1
+
+        if 0 <= content_start_index < content_end_index:
+            res = "\n".join(lines[:content_start_index] + lines[content_end_index + 1:])
+        else:
+            # 只有目录关键字时，关键字不去除;或不符合目录结构，返回原文
+            res = "\n".join(lines)
+        return res