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import logging
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import os
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import subprocess
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import uuid
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from PIL import Image
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import os
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# 或者如果你想更详细地控制日志输出
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logger = logging.getLogger('DocxUtil')
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logger.setLevel(logging.INFO)
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
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logger.addHandler(handler)
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logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO)
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def resize_images_in_directory(directory_path, max_width=640, max_height=480):
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"""
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遍历目录下所有图片并缩放到指定尺寸
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:param directory_path: 图片目录路径
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:param max_width: 最大宽度
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:param max_height: 最大高度
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"""
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# 支持的图片格式
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valid_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')
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for root, _, files in os.walk(directory_path):
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for filename in files:
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if filename.lower().endswith(valid_extensions):
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file_path = os.path.join(root, filename)
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try:
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with Image.open(file_path) as img:
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# 计算缩放比例
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width, height = img.size
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ratio = min(max_width / width, max_height / height)
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# 如果图片已经小于目标尺寸，则跳过
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if ratio >= 1:
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continue
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# 计算新尺寸并缩放
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new_size = (int(width * ratio), int(height * ratio))
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resized_img = img.resize(new_size, Image.Resampling.LANCZOS)
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# 保存图片（覆盖原文件）
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resized_img.save(file_path)
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logger.info(f"已缩放: {file_path} -> {new_size}")
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except Exception as e:
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logger.error(f"处理 {file_path} 时出错: {str(e)}")
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import hashlib
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def calculate_docx_md5(docx_file_path):
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"""
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计算docx文件的MD5哈希值
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:param docx_file_path: docx文件路径
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:return: MD5哈希字符串
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"""
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# 以二进制模式读取文件
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with open(docx_file_path, 'rb') as f:
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file_content = f.read()
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# 创建MD5哈希对象
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md5_hash = hashlib.md5()
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# 更新哈希值
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md5_hash.update(file_content)
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# 返回16进制格式的哈希值
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return md5_hash.hexdigest()
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def get_docx_content_by_pandoc(docx_file):
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# 最后拼接的内容
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content = ""
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# 计算 docx_file 的字符串md5值
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md5_value = calculate_docx_md5(docx_file)
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# 将docx_file去掉扩展名
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prefix = docx_file.split(".")[0].split("/")[-1]
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temp_markdown = os.path.join('./static/markdown/', prefix + '.md')
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# 调用pandoc将docx文件转换成markdown
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path = "./static/Images/" + md5_value
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if not os.path.exists(path):
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os.mkdir("./static/Images/" + md5_value)
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subprocess.run(['pandoc', docx_file, '-f', 'docx', '-t', 'markdown', '-o', temp_markdown,
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'--extract-media=./static/Images/' + md5_value])
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# 遍历目录 './static/Images/'+file_name 下所有的图片，缩小于640*480的尺寸上
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resize_images_in_directory('./static/Images/' + md5_value + '/media')
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# 读取然后修改内容，输出到新的文件
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img_idx = 0 # 图片索引
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with open(temp_markdown, 'r', encoding='utf-8') as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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# 跳过图片高度描述行
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if line.startswith('height=') and (line.endswith('in"}') or line.endswith('in"')):
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continue
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# height="1.91044072615923in"
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# 使用find()方法安全地检查图片模式
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is_img = line.find("![](") >= 0 and (
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line.find(".png") > 0 or
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line.find(".jpg") > 0 or
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line.find(".jpeg") > 0
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)
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if is_img:
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# {width="3.1251607611548557in"
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# height="3.694634733158355in"}
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# {width="3.1251607611548557in"
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pos = line.find(")")
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q = line[:pos + 1]
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q = q.replace("./static", ".")
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# q = q[4:-1]
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# q='<img src="'+q+'" alt="我是图片">'
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img_idx += 1
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content += q + "\n"
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else:
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content += line.strip().replace("**", "") + "\n"
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content = content.replace("\phantom", "")
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# 将content回写到markdown文件
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with open(temp_markdown, 'w', encoding='utf-8') as f:
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f.write(content)
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# 删除临时文件 output_file
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# os.remove(temp_markdown)
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return content.replace("\n\n", "\n").replace("\\", "")
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