From e4d6d224c141ef0b049ba8e660029cc473792c29 Mon Sep 17 00:00:00 2001
From: xunbu <xunbu3@qq.com>
Date: Sat, 10 May 2025 09:21:12 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=94=B9=E4=BA=86=E5=88=86=E5=9D=97?=
 =?UTF-8?q?=E4=B8=8E=E5=88=86=E5=9D=97=E5=90=88=E5=B9=B6=E9=80=BB?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .idea/workspace.xml                      |  18 +-
 README.md                                |  19 +-
 docutranslate/Agents/markdown_agent.py   |   4 +-
 docutranslate/translater.py              |   9 +-
 docutranslate/utils/markdown_splitter.py | 302 ++++++------
 docutranslate/utils/markdown_utils.py    |   1 -
 pyproject.toml                           |  10 +-
 uv.lock                                  | 582 ++++++++++++++++++++++-
 8 files changed, 726 insertions(+), 219 deletions(-)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index d06502d..39770aa 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -10,6 +10,9 @@
       <change beforePath="$PROJECT_DIR$/docutranslate/Agents/markdown_agent.py" beforeDir="false" afterPath="$PROJECT_DIR$/docutranslate/Agents/markdown_agent.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/docutranslate/translater.py" beforeDir="false" afterPath="$PROJECT_DIR$/docutranslate/translater.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/docutranslate/utils/markdown_splitter.py" beforeDir="false" afterPath="$PROJECT_DIR$/docutranslate/utils/markdown_splitter.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/docutranslate/utils/markdown_utils.py" beforeDir="false" afterPath="$PROJECT_DIR$/docutranslate/utils/markdown_utils.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/pyproject.toml" beforeDir="false" afterPath="$PROJECT_DIR$/pyproject.toml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/uv.lock" beforeDir="false" afterPath="$PROJECT_DIR$/uv.lock" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
@@ -400,29 +403,18 @@
       <workItem from="1746788668813" duration="25000" />
       <workItem from="1746791230782" duration="3129000" />
       <workItem from="1746799824552" duration="317000" />
-      <workItem from="1746801217905" duration="5663000" />
+      <workItem from="1746801217905" duration="10598000" />
     </task>
     <servers />
   </component>
   <component name="TypeScriptGeneratedFilesManager">
     <option name="version" value="3" />
   </component>
-  <component name="XDebuggerManager">
-    <breakpoint-manager>
-      <breakpoints>
-        <line-breakpoint enabled="true" suspend="THREAD" type="python-line">
-          <url>file://$PROJECT_DIR$/docutranslate/utils/markdown_splitter.py</url>
-          <line>269</line>
-          <option name="timeStamp" value="3" />
-        </line-breakpoint>
-      </breakpoints>
-    </breakpoint-manager>
-  </component>
   <component name="com.intellij.coverage.CoverageDataManagerImpl">
     <SUITE FILE_PATH="coverage/filetranslate$test.coverage" NAME="test 覆盖结果" MODIFIED="1746677277745" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/tests" />
     <SUITE FILE_PATH="coverage/filetranslate$agent_utils.coverage" NAME="agent_utils 覆盖结果" MODIFIED="1746708534311" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/docutranslate/utils" />
     <SUITE FILE_PATH="coverage/filetranslate$convert.coverage" NAME="convert 覆盖结果" MODIFIED="1746780691113" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/docutranslate/utils" />
-    <SUITE FILE_PATH="coverage/filetranslate$test1.coverage" NAME="test1 覆盖结果" MODIFIED="1746806688120" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/tests" />
+    <SUITE FILE_PATH="coverage/filetranslate$test1.coverage" NAME="test1 覆盖结果" MODIFIED="1746839810642" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/tests" />
     <SUITE FILE_PATH="coverage/PDFtranslate$PDFtranslater__1_.coverage" NAME="PDFtranslater (1) 覆盖结果" MODIFIED="1746633258205" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/pdftranslate_packages" />
     <SUITE FILE_PATH="coverage/PDFtranslate$convert.coverage" NAME="convert 覆盖结果" MODIFIED="1746596984213" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/pdftranslate_packages/utils" />
     <SUITE FILE_PATH="coverage/PDFtranslate$agent_utils.coverage" NAME="agent_utils 覆盖结果" MODIFIED="1746617703678" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="false" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/pdftranslate_packages/utils" />
diff --git a/README.md b/README.md
index 1d243f9..799fad0 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,8 @@
 
 # 前置条件
 
-## huggingface换源（不能科学上网的友友看这）
+## huggingface换源
+> 不能科学上网的友友注意了
 
 无法访问的huggingface的电脑在以下操作时请换源[点击测试](https://huggingface.co)
 
@@ -52,14 +53,14 @@ os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
 
 由于需要使用大语言模型进行markdown调整与翻译，所以需要预先获取模型的baseurl、key、model-id  
 常见的大模型平台baseurl与api获取方式可见[常用ai平台](#常用ai平台)
-> 比较推荐的模型有阿里云的qwen-plus、智谱的glm-4-air等。免费的智谱glm-4-flash也能用(2025.5)。  
+> 比较推荐的模型有智谱的glm-4-flash（免费）、glm-4-air，阿里云的qwen-plus等。  
 > 推理模型需要支持api请求响应中区分`reasoning_content`和`content`（详见平台开发手册，ollama、lmstudio需开启对应选项）
 
 # 使用方式
 
-## 注意事项
+## 注意事项（第一次使用必看）
 
-以下操作会自动从[huggingface](https://huggingface.co)下载模型，windows需要使用**管理员模式**打开IDE运行脚本，并按需换源
+以下操作会自动从[huggingface](https://huggingface.co)下载模型，windows需要使用**管理员模式**打开IDE运行脚本，并按需换源[换源指南](#huggingface换源)
 
 - 第一次使用该库读取、翻译非markdown文本
 - 第一次使用该库的公式识别或代码识别功能
@@ -72,14 +73,14 @@ from docutranslate.translater import FileTranslater
 translater = FileTranslater(base_url="<baseurl>",
                             key="<key>",
                             model_id="<model-id>")
-# 不开启公式、代码识别（默认输出为markdown文件）(打开文本修复)
-translater.translate_file("<文件路径>", to_lang="中文", refine=True)
+# 不开启公式、代码识别（默认输出为markdown文件）
+translater.translate_file("<文件路径>", to_lang="中文")
 
 # 开启公式、代码识别（需要下载更多模型）
 translater.translate_file("<文件路径>", to_lang="中文", formula=True, code=True)
 
-# 翻译markdown文件
-translater.translate_file("<markdown路径>", to_lang="中文", refine=False)
+# 在先修复文本再翻译（适用于翻译pdf，但更耗时耗费）
+translater.translate_file("<文件路径>", to_lang="中文",refine=True)
 ```
 
 > 下载模型时请用管理员模式打开终端运行文件（windows），并按需换源
@@ -125,7 +126,7 @@ translater = FileTranslater(base_url="<baseurl>",  # 默认的模型baseurl
                             key="<key>",  # 默认的模型api-key
                             model_id="<model-id>",  # 默认的模型id
                             chunksize=4000,  # markdown分块长度，分块越大效果越好，不建议超过4096
-                            max_concurrent=6,  # 并发数，受到ai平台并发量限制，如果文章很长建议适当加大到20以上
+                            max_concurrent=20,  # 并发数，受到ai平台并发量限制，如果文章很长建议适当加大到20以上
                             docling_artifact=None,  # 使用提前下载好的docling模型
                             tips=True  # 开场提示
                             )
diff --git a/docutranslate/Agents/markdown_agent.py b/docutranslate/Agents/markdown_agent.py
index e2dc4bf..3741229 100644
--- a/docutranslate/Agents/markdown_agent.py
+++ b/docutranslate/Agents/markdown_agent.py
@@ -9,7 +9,9 @@ class MDRefineAgent(Agent):
         self.system_prompt=r"""# 角色
 你是一个修正markdown文本的专家。
 # 工作
-找到markdown片段的不合理之处，对于缺失的句子，应该查看缺失的语句是否可能被错误的放在了其他位置，并通过重组段落、去掉异常字词修复不合理之处。
+找到markdown片段的不合理之处。
+对于缺失的句子，应该查看缺失的语句是否可能被错误的放在了其他位置，并通过重组段落修复不合理之处。
+去掉异常字词，修复错误格式。
 尽量忠实于原文。形如<ph-abc123>的占位符不要改变。code和latex保持原文。保留正确的空行。
 # 输出
 修正后的markdown纯文本
diff --git a/docutranslate/translater.py b/docutranslate/translater.py
index c4621fb..afbc5cf 100644
--- a/docutranslate/translater.py
+++ b/docutranslate/translater.py
@@ -2,6 +2,7 @@ from pathlib import Path
 from typing import Literal
 
 import markdown2
+import mdformat
 
 from docutranslate.Agents import MDRefineAgent, MDTranslateAgent
 from docutranslate.Agents.agent import Agent, AgentArgs
@@ -12,7 +13,7 @@ from docutranslate.utils.markdown_utils import uris2placeholder, placeholder2_ur
 
 class FileTranslater:
     def __init__(self, file_path: Path | str | None = None, chunksize: int = 4096, base_url="", key=None,
-                 model_id="", temperature=0.7, max_concurrent=6, docling_artifact: Path | str | None = None,tips=True):
+                 model_id="", temperature=0.7, max_concurrent=20, docling_artifact: Path | str | None = None,tips=True):
         if isinstance(file_path, str):
             file_path = Path(file_path)
         self.file_path: Path = file_path
@@ -35,6 +36,8 @@ class FileTranslater:
 - 第一次使用该库的公式识别或代码识别功能
 =======
 """)
+    def _markdown_format(self):
+        self.markdown=mdformat.text(self.markdown)
     def _mask_uris_in_markdown(self):
         self.markdown = uris2placeholder(self.markdown, self._mask_dict)
         return self
@@ -107,12 +110,16 @@ class FileTranslater:
         # 确保输出目录存在
         output_dir.mkdir(parents=True, exist_ok=True)
         full_name = output_dir / filename
+        #输出前格式化markdown
+        self._markdown_format()
         with open(full_name, "w") as file:
             file.write(self.markdown)
         print(f"文件已写入{full_name}")
         return self
 
     def export_to_markdown(self):
+        #输出前格式化markdown
+        self._markdown_format()
         return self.markdown
 
     def save_as_html(self, filename: str | Path | None = None, output_dir: str | Path = "./output"):
diff --git a/docutranslate/utils/markdown_splitter.py b/docutranslate/utils/markdown_splitter.py
index 77b2d30..8f8b5d3 100644
--- a/docutranslate/utils/markdown_splitter.py
+++ b/docutranslate/utils/markdown_splitter.py
@@ -5,259 +5,226 @@ from typing import List
 class MarkdownBlockSplitter:
     def __init__(self, max_block_size: int = 4096):
         """
-        初始化MarkdownBlockSplitter。
+        初始化Markdown分块器
 
         参数:
-            max_block_size: 每个块的最大大小（以字符为单位）。
+            max_block_size: 每个块的最大字符数
         """
         self.max_block_size = max_block_size
 
     def split_markdown(self, markdown_text: str) -> List[str]:
         """
-        将markdown文本拆分为指定最大大小的块。
-        确保拆分后可以重新拼接回原文（除了被拆分的代码块）。
-        尽量保持标题和其内容在同一块中。
+        将Markdown文本分割成指定大小的块
+        确保可以通过简单拼接重建原始文本（分割的代码块除外）
+        尽量保持标题与其对应内容在同一个块中
 
         参数:
-            markdown_text: 输入的markdown文本。
+            markdown_text: 输入的Markdown文本
 
         返回:
-            列表形式的markdown块，每个都是一个字符串。
+            Markdown块组成的列表
         """
-        # 按Markdown块拆分
+        # 首先将文本分割成逻辑块并保持结构
         blocks = self._split_into_logical_blocks(markdown_text)
 
-        # 现在合并块以遵守max_block_size，同时尽量保持标题和内容在一起
+        # 然后合并块，同时遵守大小限制并保持标题与内容在一起
         result_blocks = []
-        current_block = ""
-        header_waiting = False  # 标记是否有待处理的标题
+        current_block = []
+        current_size = 0
+        pending_heading = None  # 等待内容的标题
 
         for block in blocks:
-            # 检查块是否为空行分隔符
-            is_separator = block.strip() == "" and block.count("\n") > 0
+            block_size = len(block)
+            is_heading = bool(re.match(r'^#{1,6}\s+.+', block.strip()))
+            is_separator = block.strip() == '' and block.count('\n') > 0
 
-            # 检查是否是标题
-            is_header = bool(re.match(r'^#{1,6}\s+.+', block.strip()))
-
-            # 如果单个块大于最大大小，则进一步拆分
-            if len(block) > self.max_block_size:
-                # 如果已有累积内容，先添加
+            # 情况1：块本身过大，无法单独放入
+            if block_size > self.max_block_size:
+                # 先输出已积累的内容
                 if current_block:
-                    result_blocks.append(current_block)
-                    current_block = ""
-                    header_waiting = False
+                    result_blocks.append('\n'.join(current_block))
+                    current_block = []
+                    current_size = 0
+                    pending_heading = None
 
-                # 拆分大块
+                # 分割大块并添加所有部分
                 large_block_parts = self._split_large_block(block)
                 result_blocks.extend(large_block_parts)
                 continue
 
-            # 确定适当的连接符
-            connector = "" if is_separator or not current_block else "\n"
-
-            # 如果当前块是标题，且之前的块已经很大，先结束之前的块
-            if is_header and len(current_block) + len(block) + len(
-                    connector) > self.max_block_size * 0.9 and current_block:
-                result_blocks.append(current_block)
-                current_block = block
-                header_waiting = True
-                continue
-
-            # 如果添加此块会超过限制，则开始新的结果块
-            if len(current_block) + len(block) + len(connector) > self.max_block_size and current_block:
-                # 如果当前块以标题开始，我们会尝试将整个块放入下一个块
-                if header_waiting and not is_header:
-                    # 检查是否能添加到当前块而不超出太多
-                    if len(current_block) + len(block) + len(connector) <= self.max_block_size * 1.1:
-                        current_block += connector + block
-                        header_waiting = False
+            # 情况2：添加此块会超出大小限制
+            if current_size + block_size + (1 if current_block else 0) > self.max_block_size:
+                # 如果有等待内容的标题，尝试将其与内容保持在一起
+                if pending_heading and not is_heading and not is_separator:
+                    # 如果只添加标题和此块能放下，则这样做
+                    if len(pending_heading) + block_size + 1 <= self.max_block_size:
+                        result_blocks.append('\n'.join(current_block[:-1]))  # 输出不含标题的内容
+                        current_block = [pending_heading, block]
+                        current_size = len(pending_heading) + 1 + block_size
+                        pending_heading = None
                         continue
 
-                result_blocks.append(current_block)
-                current_block = block
-                header_waiting = is_header
-            else:
-                # 添加到当前块并适当连接
+                # 否则输出当前块并开始新块
                 if current_block:
-                    current_block += connector + block
-                else:
-                    current_block = block
+                    result_blocks.append('\n'.join(current_block))
 
-                # 如果刚添加了标题，标记等待内容
-                if is_header:
-                    header_waiting = True
-                elif header_waiting and not is_separator:
-                    # 如果添加了内容到标题后，不再是等待状态
-                    header_waiting = False
+                current_block = [block]
+                current_size = block_size
+                pending_heading = block if is_heading else None
+                continue
 
-        # 如果不为空则添加最后一个块
+            # 情况3：正常情况 - 添加到当前块
+            if current_block:
+                current_block.append(block)
+                current_size += 1 + block_size  # 加1是因为换行符
+            else:
+                current_block.append(block)
+                current_size = block_size
+
+            # 更新等待标题状态
+            if is_heading:
+                pending_heading = block
+            elif not is_separator and pending_heading:
+                # 已在标题后添加内容，清除等待状态
+                pending_heading = None
+
+        # 添加最后一个块（如果存在）
         if current_block:
-            result_blocks.append(current_block)
+            result_blocks.append('\n'.join(current_block))
 
         return result_blocks
 
     def _split_into_logical_blocks(self, markdown_text: str) -> List[str]:
         """
-        将markdown文本拆分为逻辑块（标题、段落、代码块等）
-        保留原始的空行数量，确保能重新拼接回原文
+        将Markdown文本分割成逻辑块（标题、段落、代码块等）
+        同时保持原始结构包括空行
 
         参数:
-            markdown_text: 输入markdown文本
+            markdown_text: 输入的Markdown文本
 
         返回:
-            markdown块列表
+            Markdown块列表
         """
-        # 将Windows换行符替换为Unix风格
+        # 标准化换行符
         markdown_text = markdown_text.replace('\r\n', '\n')
 
-        # 匹配代码块的模式（用```或~~~围起来）
+        # 首先将代码块与其他内容分开
         code_block_pattern = r'(```[\s\S]*?```|~~~[\s\S]*?~~~)'
-
-        # 将文本拆分为代码块和非代码块
         parts = re.split(code_block_pattern, markdown_text)
 
         blocks = []
         for i, part in enumerate(parts):
-            # 如果是代码块（拆分结果中的奇数索引）
-            if i % 2 == 1:
+            if i % 2 == 1:  # 代码块
                 blocks.append(part)
-            else:
-                # 对于非代码块，保留原始文本结构
-                if not part:  # 跳过空字符串
-                    continue
-
-                # 识别并单独处理标题
+            elif part:  # 非代码内容
+                # 分割成行同时保留空行
                 lines = part.split('\n')
-                current_lines = []
+                current_block = []
 
                 for line in lines:
-                    # 检查是否是标题行
-                    if re.match(r'^#{1,6}\s+.+', line):
-                        # 如果有累积的内容，先添加到块
-                        if current_lines:
-                            blocks.append('\n'.join(current_lines))
-                            current_lines = []
-
-                        # 将标题作为单独的块
+                    # 检查是否是标题
+                    if re.match(r'^#{1,6}\s+.+', line.strip()):
+                        # 输出已积累的内容
+                        if current_block:
+                            blocks.append('\n'.join(current_block))
+                            current_block = []
+                        # 将标题作为单独块添加
                         blocks.append(line)
                     else:
-                        current_lines.append(line)
+                        # 对于非标题行，用适当的换行符积累
+                        if current_block:
+                            current_block.append(line)
+                        else:
+                            current_block = [line]
 
-                # 处理剩余的行
-                if current_lines:
-                    # 按段落分隔符拆分剩余的内容
-                    remaining_content = '\n'.join(current_lines)
-                    parts_with_sep = re.split(r'(\n\s*\n)', remaining_content)
-
-                    for j, p in enumerate(parts_with_sep):
-                        if j % 2 == 0:  # 这是正文内容
-                            if p.strip():  # 只添加非空内容
-                                blocks.append(p)
-                        else:  # 这是分隔符
-                            # 添加分隔符作为单独的块以保持原始格式
-                            if j > 0 and parts_with_sep[j - 1].strip():  # 确保前面有内容
-                                blocks.append(p)
+                # 添加剩余内容
+                if current_block:
+                    blocks.append('\n'.join(current_block))
 
         return blocks
 
     def _split_large_block(self, block: str) -> List[str]:
         """
-        拆分超过max_block_size的大块。
-        只按行拆分，不按句子拆分。
+        分割超过max_block_size的大块
+        总是在行边界处分割
 
         参数:
-            block: 一个大的markdown块
+            block: 大的Markdown块
 
         返回:
-            较小的块列表
+            小块组成的列表
         """
-        result = []
-
-        # 检查是否是代码块
+        # 特殊处理代码块
         if block.startswith('```') or block.startswith('~~~'):
-            # 对于代码块，我们需要保留围栏标记
-            fence_marker = '```' if block.startswith('```') else '~~~'
+            fence = '```' if block.startswith('```') else '~~~'
+            parts = block.split('\n')
 
             # 提取语言说明符（如果存在）
-            first_line_end = block.find('\n')
-            first_line = block[:first_line_end]
-            language_spec = first_line[3:].strip()
+            first_line = parts[0]
+            remaining_lines = parts[1:-1]  # 排除开始和结束标记
+            closing_fence = parts[-1]
 
-            # 拆分代码内容
-            code_content = block[first_line_end + 1:-3].strip()
+            result = []
+            current_chunk = [first_line]
+            current_size = len(first_line)
 
-            # 按行拆分
-            lines = code_content.split('\n')
+            for line in remaining_lines:
+                line_len = len(line) + 1  # +1是因为换行符
 
-            current_part = [first_line]
-            current_size = len(first_line) + 1  # +1表示换行符
+                if current_size + line_len + len(closing_fence) > self.max_block_size:
+                    # 关闭当前块并开始新块
+                    result.append('\n'.join(current_chunk + [closing_fence]))
+                    current_chunk = [first_line]  # 新块使用相同的开始标记
+                    current_size = len(first_line)
 
-            for line in lines:
-                line_size = len(line) + 1  # +1表示换行符
+                current_chunk.append(line)
+                current_size += line_len
 
-                if current_size + line_size + 3 > self.max_block_size:  # +3表示关闭围栏
-                    # 关闭当前代码块
-                    current_part.append(fence_marker)
-                    result.append('\n'.join(current_part))
+            # 添加最后的块
+            if len(current_chunk) > 1:  # 有超出开始标记的内容
+                result.append('\n'.join(current_chunk + [closing_fence]))
 
-                    # 开始新的代码块
-                    current_part = [f"{fence_marker}{language_spec}"]
-                    current_size = len(current_part[0]) + 1
+            return result
 
-                current_part.append(line)
-                current_size += line_size
+        # 对于非代码块，简单地在行边界处分割
+        lines = block.split('\n')
+        result = []
+        current_chunk = []
+        current_size = 0
 
-            # 在最后部分添加关闭围栏
-            current_part.append(fence_marker)
-            result.append('\n'.join(current_part))
+        for line in lines:
+            line_len = len(line) + 1  # +1是因为换行符
 
-        else:
-            # 检查是否是标题
-            is_header = bool(re.match(r'^#{1,6}\s+.+', block.strip()))
-
-            # 对于所有非代码块，统一按行拆分
-            lines = block.split('\n')
-
-            current_part = []
-            current_size = 0
-
-            for line in lines:
-                line_size = len(line) + 1  # +1表示换行符
-
-                # 如果这是标题行，并且当前块已经很大，先结束当前块
-                if re.match(r'^#{1,6}\s+.+', line) and current_size > 0:
-                    if current_part:
-                        result.append('\n'.join(current_part))
-                    current_part = [line]
-                    current_size = line_size
-                    continue
-
-                if current_size + line_size > self.max_block_size and current_part:
-                    result.append('\n'.join(current_part))
-                    current_part = [line]
-                    current_size = line_size
+            if current_size + line_len > self.max_block_size and current_chunk:
+                result.append('\n'.join(current_chunk))
+                current_chunk = [line]
+                current_size = line_len
+            else:
+                if current_chunk:
+                    current_chunk.append(line)
+                    current_size += line_len
                 else:
-                    current_part.append(line)
-                    current_size += line_size
+                    current_chunk = [line]
+                    current_size = line_len
 
-            if current_part:
-                result.append('\n'.join(current_part))
+        if current_chunk:
+            result.append('\n'.join(current_chunk))
 
         return result
 
 
 def split_markdown_text(markdown_text, max_block_size=4096):
     """
-    将markdown字符串拆分为不超过max_block_size的块。
-    拆分后可以通过简单的字符串连接重新组合回原始文本（除了被拆分的代码块）。
-    尽量保持标题和其内容在同一块中。
+    将Markdown字符串分割成不超过max_block_size的块
+    可以通过简单拼接重建原始文本（分割的代码块除外）
+    尽量保持标题与其对应内容在一起
 
     参数:
-        markdown_text: 输入markdown文本
+        markdown_text: 输入的Markdown文本
         max_block_size: 每个块的最大字符数
 
     返回:
-        markdown块列表，可以通过''.join(chunks)重新组合（如果没有代码块被拆分）
+        可以通过''.join(chunks)重建的Markdown块列表
     """
     splitter = MarkdownBlockSplitter(max_block_size=max_block_size)
     return splitter.split_markdown(markdown_text)
@@ -266,5 +233,8 @@ def split_markdown_text(markdown_text, max_block_size=4096):
 if __name__ == '__main__':
     with open(r"C:\Users\jxgm\Desktop\FileTranslate\tests\resource\regex.md", "r") as f:
         md = f.read()
-    a = split_markdown_text(md)
-    pass
\ No newline at end of file
+    chunks = split_markdown_text(md)
+    for i, chunk in enumerate(chunks):
+        print(f"块 {i + 1} (大小: {len(chunk)}):")
+        print(chunk[:100] + "..." if len(chunk) > 100 else chunk)
+        print("---")
\ No newline at end of file
diff --git a/docutranslate/utils/markdown_utils.py b/docutranslate/utils/markdown_utils.py
index 0098356..f764de6 100644
--- a/docutranslate/utils/markdown_utils.py
+++ b/docutranslate/utils/markdown_utils.py
@@ -68,6 +68,5 @@ def placeholder2_uris(markdown:str, mask_dict:MaskDict):
 
 
 
-
 if __name__ == '__main__':
     pass
diff --git a/pyproject.toml b/pyproject.toml
index cad0378..6086091 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,12 +1,12 @@
 [project]
 name = "docutranslate"
-version = "0.1.1"
+version = "0.1.2"
 description = "文件翻译工具"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-    "docling>=2.31.0",
-    "httpx>=0.28.1",
-    "markdown2>=2.5.3",
-    "transformers>=4.50.1",
+    "docling",
+    "httpx",
+    "markdown2",
+    "mdformat>=0.7.22",
 ]
diff --git a/uv.lock b/uv.lock
index 02d460e..3fb00d3 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,11 +1,19 @@
 version = 1
 revision = 1
-requires-python = ">=3.12"
+requires-python = ">=3.10"
 resolution-markers = [
-    "platform_machine == 'x86_64' and sys_platform == 'darwin'",
-    "platform_machine != 'x86_64' and sys_platform == 'darwin'",
-    "platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and platform_machine != 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.11.*' and platform_machine != 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.11' and platform_machine != 'x86_64' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [[package]]
@@ -22,6 +30,7 @@ name = "anyio"
 version = "4.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
+    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
     { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
@@ -68,6 +77,32 @@ version = "3.4.2"
 source = { registry = "https://pypi.org/simple" }
 sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367 }
 wheels = [
+    { url = "https://files.pythonhosted.org/packages/95/28/9901804da60055b406e1a1c5ba7aac1276fb77f1dde635aabfc7fd84b8ab/charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941", size = 201818 },
+    { url = "https://files.pythonhosted.org/packages/d9/9b/892a8c8af9110935e5adcbb06d9c6fe741b6bb02608c6513983048ba1a18/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd", size = 144649 },
+    { url = "https://files.pythonhosted.org/packages/7b/a5/4179abd063ff6414223575e008593861d62abfc22455b5d1a44995b7c101/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9cbfacf36cb0ec2897ce0ebc5d08ca44213af24265bd56eca54bee7923c48fd6", size = 155045 },
+    { url = "https://files.pythonhosted.org/packages/3b/95/bc08c7dfeddd26b4be8c8287b9bb055716f31077c8b0ea1cd09553794665/charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18dd2e350387c87dabe711b86f83c9c78af772c748904d372ade190b5c7c9d4d", size = 147356 },
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@@ -226,6 +261,16 @@ dependencies = [
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