[pre-commit.ci] pre-commit autoupdate (#1771)

Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Sun, Xuehao <xuehao.sun@intel.com>
Co-authored-by: Abolfazl Shahbazi <12436063+ashahba@users.noreply.github.com>

.pre-commit-config.yaml

@@ -74,7 +74,7 @@ repos:
         name: Unused noqa
 
   - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
+    rev: 6.0.1
     hooks:
       - id: isort
 
@@ -100,7 +100,7 @@ repos:
           - prettier@3.2.5
 
   - repo: https://github.com/psf/black.git
-    rev: 24.10.0
+    rev: 25.1.0
     hooks:
       - id: black
         files: (.*\.py)$
@@ -114,7 +114,7 @@ repos:
           - black==24.10.0
 
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.3.0
+    rev: v2.4.1
     hooks:
       - id: codespell
         args: [-w]
@@ -122,7 +122,7 @@ repos:
           - tomli
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.8.6
+    rev: v0.11.4
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix, --no-cache]

ChatQnA/chatqna.py

@@ -25,7 +25,7 @@ class ChatTemplate:
     @staticmethod
     def generate_rag_prompt(question, documents):
         context_str = "\n".join(documents)
-        if context_str and len(re.findall("[\u4E00-\u9FFF]", context_str)) / len(context_str) >= 0.3:
+        if context_str and len(re.findall("[\u4e00-\u9fff]", context_str)) / len(context_str) >= 0.3:
             # chinese context
             template = """
 ### 你将扮演一个乐于助人、尊重他人并诚实的助手，你的目标是帮助用户解答问题。有效地利用来自本地知识库的搜索结果。确保你的回答中只包含相关信息。如果你不确定问题的答案，请避免分享不准确的信息。

GraphRAG/graphrag.py

@@ -26,7 +26,7 @@ class ChatTemplate:
     @staticmethod
     def generate_rag_prompt(question, documents):
         context_str = "\n".join(documents)
-        if context_str and len(re.findall("[\u4E00-\u9FFF]", context_str)) / len(context_str) >= 0.3:
+        if context_str and len(re.findall("[\u4e00-\u9fff]", context_str)) / len(context_str) >= 0.3:
             # chinese context
             template = """
 ### 你将扮演一个乐于助人、尊重他人并诚实的助手，你的目标是帮助用户解答问题。有效地利用来自本地知识库的搜索结果。确保你的回答中只包含相关信息。如果你不确定问题的答案，请避免分享不准确的信息。