228 lines
8.9 KiB
Python
228 lines
8.9 KiB
Python
import base64
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import hashlib
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import io
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import mimetypes
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import os
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import re
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import threading
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import uuid
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import zipfile
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from pathlib import Path
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import tempfile
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class MaskDict:
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def __init__(self):
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self._dict = {}
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self._lock = threading.Lock()
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def create_id(self):
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with self._lock:
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while True:
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id = uuid.uuid1().hex[:6]
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if id not in self._dict:
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return id
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def get(self, key):
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with self._lock:
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return self._dict.get(key)
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def set(self, key, value):
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with self._lock:
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self._dict[key] = value
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def delete(self, key):
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with self._lock:
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if key in self._dict:
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del self._dict[key]
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def __contains__(self, item):
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with self._lock:
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return item in self._dict
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# def uris2placeholder(markdown:str, mask_dict:MaskDict):
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##替换整个uri
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# def uri2placeholder(match: re.Match):
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# id = mask_dict.create_id()
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# mask_dict.set(id, match.group())
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# return f"<ph-{id}>"
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#
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# uri_pattern = r'!?\[.*?\]\(.*?\)'
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# markdown = re.sub(uri_pattern, uri2placeholder, markdown)
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# return markdown
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def uris2placeholder(markdown: str, mask_dict: MaskDict):
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##只替换uri里的链接部分，保留标题
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def uri2placeholder(match: re.Match):
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id = mask_dict.create_id()
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# 只替换base64数据
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# mask_dict.set(id, match.group(2))
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# return f"{match.group(1)}(<ph-{id}>)"
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#整个图片都替换为占位符
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mask_dict.set(id, match.group())
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return f"<ph-{id}>"
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uri_pattern = r'(!\[.*?\])\((.*?)\)'
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markdown = re.sub(uri_pattern, uri2placeholder, markdown)
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return markdown
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def placeholder2uris(markdown: str, mask_dict: MaskDict):
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def placeholder2uri(match: re.Match):
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id = match.group(1)
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uri = mask_dict.get(id)
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if uri is None:
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return match.group()
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return uri
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ph_pattern = r"<ph-([a-zA-Z0-9]+)>"
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markdown = re.sub(ph_pattern, placeholder2uri, markdown)
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return markdown
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def find_markdown_in_zip(zip_bytes: bytes):
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zip_file_bytes = io.BytesIO(zip_bytes)
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with zipfile.ZipFile(zip_file_bytes, 'r') as zip_ref:
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# 获取 ZIP 中所有文件名
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all_files = zip_ref.namelist()
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# 筛选出 .md 文件
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md_files = [f for f in all_files if f.lower().endswith('.md')]
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if len(md_files) == 1:
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return md_files[0]
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elif len(md_files) > 1:
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raise ValueError("ZIP 中包含多个 Markdown 文件")
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else:
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raise ValueError("ZIP 中没有 Markdown 文件")
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def embed_inline_image_from_zip(zip_bytes: bytes, filename_in_zip: str, encoding="utf-8"):
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zip_file_bytes = io.BytesIO(zip_bytes)
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print(f"正在尝试打开内存中的ZIP存档...")
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with zipfile.ZipFile(zip_file_bytes, 'r') as archive:
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print(f"ZIP存档已打开。正在查找文件 '{filename_in_zip}'...")
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if filename_in_zip not in archive.namelist():
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print(f"错误: 文件 '{filename_in_zip}' 在ZIP压缩包中未找到。")
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print(f"压缩包中的可用文件列表: {archive.namelist()}")
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return None
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md_content_bytes = archive.read(filename_in_zip)
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print(f"文件 '{filename_in_zip}' 已找到并读取。")
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md_content_text = md_content_bytes.decode(encoding)
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print(f"文件内容已使用 '{encoding}' 编码成功解码。")
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# --- 新增：处理图片 ---
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print("开始处理Markdown中的图片...")
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# 获取Markdown文件在ZIP包内的基本目录，用于解析相对图片路径
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# 例如，如果 filename_in_zip 是 "docs/guide/full.md", base_md_path_in_zip 是 "docs/guide"
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# 如果 filename_in_zip 是 "full.md", base_md_path_in_zip 是 ""
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base_md_path_in_zip = os.path.dirname(filename_in_zip)
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def replace_image_with_base64(match):
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alt_text = match.group(1)
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original_image_path = match.group(2)
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# 检查是否是外部链接或已经是data URI
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if original_image_path.startswith(('http://', 'https://', 'data:')):
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print(f" 跳过外部或已内联图片: {original_image_path}")
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return match.group(0) # 返回原始匹配
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# 构建图片在ZIP文件中的绝对路径
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# os.path.join 会正确处理 base_md_path_in_zip 为空字符串的情况
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image_path_in_zip = os.path.join(base_md_path_in_zip, original_image_path)
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# zipfile 使用正斜杠，并且路径是相对于zip根目录的，os.path.normpath确保路径格式正确
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image_path_in_zip = os.path.normpath(image_path_in_zip).replace(os.sep, '/')
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# 确保路径不是以 './' 开头，如果filename_in_zip在根目录且图片路径也是相对的
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if image_path_in_zip.startswith('./'):
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image_path_in_zip = image_path_in_zip[2:]
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# print(f" 尝试内联图片: '{original_image_path}' (解析为ZIP内路径: '{image_path_in_zip}')")
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try:
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image_bytes = archive.read(image_path_in_zip)
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# 猜测MIME类型
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mime_type, _ = mimetypes.guess_type(image_path_in_zip)
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if not mime_type:
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# 备用：根据扩展名手动判断一些常见类型
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ext = os.path.splitext(image_path_in_zip)[1].lower()
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if ext == '.png':
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mime_type = 'image/png'
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elif ext in ['.jpg', '.jpeg']:
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mime_type = 'image/jpeg'
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elif ext == '.gif':
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mime_type = 'image/gif'
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elif ext == '.svg':
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mime_type = 'image/svg+xml'
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elif ext == '.webp':
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mime_type = 'image/webp'
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else:
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print(f" 警告: 无法确定图片 '{image_path_in_zip}' 的MIME类型。跳过内联。")
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return match.group(0) # 返回原始匹配
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base64_encoded_data = base64.b64encode(image_bytes).decode('utf-8')
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new_image_tag = f""
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# print(f" 成功内联图片: {original_image_path} -> data:{mime_type[:20]}...")
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return new_image_tag
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except KeyError:
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print(f" 警告: 图片 '{image_path_in_zip}' 在ZIP压缩包中未找到。原始链接将被保留。")
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return match.group(0) # 图片不在zip中，返回原始匹配
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except Exception as e_img:
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print(f" 错误: 处理图片 '{image_path_in_zip}' 时发生错误: {e_img}。原始链接将被保留。")
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return match.group(0)
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# 正则表达式查找Markdown图片: 
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# 修改了正则表达式，使其不贪婪地匹配alt文本和路径
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image_regex = r"!\[(.*?)\]\((.*?)\)"
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modified_md_content = re.sub(image_regex, replace_image_with_base64, md_content_text)
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print("图片处理完成。")
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return modified_md_content
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def unembed_base64_images_to_zip(markdown:str,markdown_name:str,image_folder_name="images")->bytes:
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with tempfile.TemporaryDirectory() as temp_dir:
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image_folder=os.path.join(temp_dir,image_folder_name)
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os.makedirs(image_folder,exist_ok=True)
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pattern=r"!\[(.*?)\]\(data:(.*?);.*base64,(.*)\)"
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def unembed_base64_images(match:re.Match)->str:
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b64data = match.group(3)
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extension=mimetypes.guess_extension(match.group(2))
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image_id=hashlib.md5(b64data.encode()).hexdigest()[:8]
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image_name=f"{image_id}{extension}"
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url=f"./{image_folder_name}/{image_name}"
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#创建对应的image文件
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with open(os.path.join(image_folder,image_name),"wb") as f:
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f.write(base64.b64decode(b64data))
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return f""
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modified_md_content = re.sub(pattern, unembed_base64_images,markdown)
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with open(os.path.join(temp_dir,f"{markdown_name}"),"w",encoding="utf-8") as f:
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f.write(modified_md_content)
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zip_buffer=io.BytesIO()
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folder_path=Path(temp_dir)
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with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zipf:
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for file in folder_path.rglob('*'):
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if file.is_file():
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zipf.write(file, file.relative_to(folder_path))
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return zip_buffer.getvalue()
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def clean_markdown_math_block(markdown):
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"""清除公式块的多余空格字符"""
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def replace_block(match: re.Match):
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return f"{match.group(1).strip()}\n{match.group(2).strip()}\n{match.group(3).lstrip()}"
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pattern = re.compile(r"(^\s*\$\$\s*)\n([\s\S]+?)\n(^\s*\$\$\s*$)", re.MULTILINE)
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cleaned_text = pattern.sub(replace_block, markdown)
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return cleaned_text
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if __name__ == '__main__':
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pass
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