re-add zh_title_enhance.py

configs/__init__.py

@@ -0,0 +1 @@
+from .model_config import *

configs/model_config.py.example

@@ -291,3 +291,8 @@ kbs_config = {
         "secure": False,
     }
 }
+
+# 是否开启中文标题加强，以及标题增强的相关配置
+# 通过增加标题判断，判断哪些文本为标题，并在metadata中进行标记；
+# 然后将文本与往上一级的标题进行拼合，实现文本信息的增强。
+ZH_TITLE_ENHANCE = False

server/knowledge_base/utils.py

@@ -1,10 +1,9 @@
-from typing import Union
 import os
 from langchain.embeddings.huggingface import HuggingFaceEmbeddings
 from configs.model_config import (embedding_model_dict, KB_ROOT_PATH, EMBEDDING_MODEL, kbs_config)
 from functools import lru_cache
-import langchain.document_loaders
 import sys
+from text_splitter import zh_title_enhance
 
 
 def validate_kb_name(knowledge_base_id: str) -> bool:
@@ -73,11 +72,14 @@ class KnowledgeFile:
         # TODO: 增加依据文件格式匹配text_splitter
         self.text_splitter_name = "CharacterTextSplitter"
 
-    def file2text(self):
+    def file2text(self, using_zh_title_enhance):
         DocumentLoader = getattr(sys.modules['langchain.document_loaders'], self.document_loader_name)
         loader = DocumentLoader(self.filepath)
 
         # TODO: 增加依据文件格式匹配text_splitter
         TextSplitter = getattr(sys.modules['langchain.text_splitter'], self.text_splitter_name)
         text_splitter = TextSplitter(chunk_size=250, chunk_overlap=200)
-        return loader.load_and_split(text_splitter)
+        docs = loader.load_and_split(text_splitter)
+        if using_zh_title_enhance:
+            docs = zh_title_enhance(docs)
+        return docs

text_splitter/__init__.py

@@ -1 +1,2 @@
 from .MyTextSplitter import MyTextSplitter
+from .zh_title_enhance import zh_title_enhance

text_splitter/zh_title_enhance.py

@@ -0,0 +1,99 @@
+from langchain.docstore.document import Document
+import re
+
+
+def under_non_alpha_ratio(text: str, threshold: float = 0.5):
+    """Checks if the proportion of non-alpha characters in the text snippet exceeds a given
+    threshold. This helps prevent text like "-----------BREAK---------" from being tagged
+    as a title or narrative text. The ratio does not count spaces.
+
+    Parameters
+    ----------
+    text
+        The input string to test
+    threshold
+        If the proportion of non-alpha characters exceeds this threshold, the function
+        returns False
+    """
+    if len(text) == 0:
+        return False
+
+    alpha_count = len([char for char in text if char.strip() and char.isalpha()])
+    total_count = len([char for char in text if char.strip()])
+    try:
+        ratio = alpha_count / total_count
+        return ratio < threshold
+    except:
+        return False
+
+
+def is_possible_title(
+        text: str,
+        title_max_word_length: int = 20,
+        non_alpha_threshold: float = 0.5,
+) -> bool:
+    """Checks to see if the text passes all of the checks for a valid title.
+
+    Parameters
+    ----------
+    text
+        The input text to check
+    title_max_word_length
+        The maximum number of words a title can contain
+    non_alpha_threshold
+        The minimum number of alpha characters the text needs to be considered a title
+    """
+
+    # 文本长度为0的话，肯定不是title
+    if len(text) == 0:
+        print("Not a title. Text is empty.")
+        return False
+
+    # 文本中有标点符号，就不是title
+    ENDS_IN_PUNCT_PATTERN = r"[^\w\s]\Z"
+    ENDS_IN_PUNCT_RE = re.compile(ENDS_IN_PUNCT_PATTERN)
+    if ENDS_IN_PUNCT_RE.search(text) is not None:
+        return False
+
+    # 文本长度不能超过设定值，默认20
+    # NOTE(robinson) - splitting on spaces here instead of word tokenizing because it
+    # is less expensive and actual tokenization doesn't add much value for the length check
+    if len(text) > title_max_word_length:
+        return False
+
+    # 文本中数字的占比不能太高，否则不是title
+    if under_non_alpha_ratio(text, threshold=non_alpha_threshold):
+        return False
+
+    # NOTE(robinson) - Prevent flagging salutations like "To My Dearest Friends," as titles
+    if text.endswith((",", ".", "，", "。")):
+        return False
+
+    if text.isnumeric():
+        print(f"Not a title. Text is all numeric:\n\n{text}")  # type: ignore
+        return False
+
+    # 开头的字符内应该有数字，默认5个字符内
+    if len(text) < 5:
+        text_5 = text
+    else:
+        text_5 = text[:5]
+    alpha_in_text_5 = sum(list(map(lambda x: x.isnumeric(), list(text_5))))
+    if not alpha_in_text_5:
+        return False
+
+    return True
+
+
+def zh_title_enhance(docs: Document) -> Document:
+    title = None
+    if len(docs) > 0:
+        for doc in docs:
+            if is_possible_title(doc.page_content):
+                doc.metadata['category'] = 'cn_Title'
+                title = doc.page_content
+            elif title:
+                doc.page_content = f"下文与({title})有关。{doc.page_content}"
+        return docs
+    else:
+        print("文件不存在")