优化epub翻译效果
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xunbu
@@ -8,7 +8,7 @@ from dataclasses import dataclass
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from io import BytesIO
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from typing import Self, Literal, List, Dict, Any
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from bs4 import BeautifulSoup
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from bs4 import BeautifulSoup, Tag
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from docutranslate.agents.segments_agent import SegmentsTranslateAgentConfig, SegmentsTranslateAgent
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from docutranslate.ir.document import Document
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@@ -24,7 +24,7 @@ class EpubTranslatorConfig(AiTranslatorConfig):
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class EpubTranslator(AiTranslator):
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"""
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一个用于翻译 EPUB 文件中内容的翻译器。
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此版本使用内置的 `zipfile` 和 `xml` 库，不依赖 `ebooklib`。
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【高级版】此版本直接翻译HTML内容，以保留内联格式。
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"""
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def __init__(self, config: EpubTranslatorConfig):
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@@ -33,7 +33,7 @@ class EpubTranslator(AiTranslator):
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self.translate_agent = None
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if not self.skip_translate:
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agent_config = SegmentsTranslateAgentConfig(
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custom_prompt=config.custom_prompt,
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custom_prompt=config.custom_prompt, # 使用优化后的prompt
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to_lang=config.to_lang,
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base_url=config.base_url,
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api_key=config.api_key,
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@@ -54,35 +54,25 @@ class EpubTranslator(AiTranslator):
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def _pre_translate(self, document: Document) -> tuple[
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Dict[str, bytes], List[Dict[str, Any]], List[str]
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]:
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"""
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预处理 EPUB 文件，提取所有需要翻译的文本。
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"""
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all_files = {}
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items_to_translate = []
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original_texts = []
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original_texts = [] # 现在这里存储的是HTML片段
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# --- 步骤 1: 使用 zipfile 读取 EPUB 内容到内存 ---
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with zipfile.ZipFile(BytesIO(document.content), 'r') as zf:
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for filename in zf.namelist():
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all_files[filename] = zf.read(filename)
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# --- 步骤 2: 解析元数据以找到内容文件 ---
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# 2.1: 解析 container.xml 找到 .opf 文件的路径
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container_xml = all_files.get('META-INF/container.xml')
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if not container_xml:
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raise ValueError("无效的 EPUB：找不到 META-INF/container.xml")
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root = ET.fromstring(container_xml)
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# XML 命名空间，解析时必须使用
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ns = {'cn': 'urn:oasis:names:tc:opendocument:xmlns:container'}
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opf_path = root.find('cn:rootfiles/cn:rootfile', ns).get('full-path')
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opf_dir = os.path.dirname(opf_path)
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# 2.2: 解析 .opf 文件找到 manifest 和 spine
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opf_xml = all_files.get(opf_path)
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if not opf_xml:
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raise ValueError(f"无效的 EPUB：找不到 {opf_path}")
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opf_root = ET.fromstring(opf_xml)
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ns_opf = {'opf': 'http://www.idpf.org/2007/opf'}
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@@ -90,14 +80,11 @@ class EpubTranslator(AiTranslator):
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for item in opf_root.findall('opf:manifest/opf:item', ns_opf):
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item_id = item.get('id')
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href = item.get('href')
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# 路径需要相对于 .opf 文件的位置
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full_href = os.path.join(opf_dir, href).replace('\\', '/')
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manifest_items[item_id] = {'href': full_href, 'media_type': item.get('media-type')}
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spine_itemrefs = [item.get('idref') for item in opf_root.findall('opf:spine/opf:itemref', ns_opf)]
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TAGS_TO_TRANSLATE = ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li', 'div']
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# --- 步骤 3: 提取可翻译内容 ---
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# 我们这里简单地翻译 manifest 中所有的 xhtml/html 文件
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for item_id, item_data in manifest_items.items():
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media_type = item_data['media_type']
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if media_type in ['application/xhtml+xml', 'text/html']:
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@@ -108,20 +95,18 @@ class EpubTranslator(AiTranslator):
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continue
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soup = BeautifulSoup(content_bytes, "html.parser")
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for text_node in soup.find_all(string=True):
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if (
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text_node.parent.name not in ['style', 'script', 'head', 'title', 'meta', '[document]']
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and not text_node.isspace()
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):
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text = text_node.get_text(strip=True)
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if text:
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for tag in soup.find_all(TAGS_TO_TRANSLATE):
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# 获取标签内部的HTML，而不是纯文本
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inner_html = tag.decode_contents()
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# 只有在内部有实际内容（不仅仅是空白）时才翻译
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if inner_html and not inner_html.isspace():
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item_info = {
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"file_path": file_path,
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"text_node": text_node,
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"original_text": text,
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"tag": tag,
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"original_html": inner_html,
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}
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items_to_translate.append(item_info)
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original_texts.append(text)
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original_texts.append(inner_html)
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return all_files, items_to_translate, original_texts
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@@ -130,57 +115,51 @@ class EpubTranslator(AiTranslator):
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all_files: Dict[str, bytes],
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items_to_translate: List[Dict[str, Any]],
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translated_texts: List[str],
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original_texts: List[str],
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original_texts: List[str], # 这里是 original_htmls
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) -> bytes:
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"""
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将翻译后的文本写回，并重新打包成 EPUB 文件。
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"""
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modified_soups = {} # 缓存每个文件的 soup 对象
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modified_soups = {}
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for i, item_info in enumerate(items_to_translate):
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file_path = item_info["file_path"]
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text_node = item_info["text_node"]
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translated_text = translated_texts[i]
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original_text = original_texts[i]
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tag: Tag = item_info["tag"]
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translated_html = translated_texts[i]
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original_html = original_texts[i]
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# 获取或创建该文件的 soup 对象
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if file_path not in modified_soups:
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# 找到该节点所属的根 soup 对象
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modified_soups[file_path] = text_node.find_parent('html')
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modified_soups[file_path] = tag.find_parent('html')
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# [修改] 处理 insert_mode，现在操作的是HTML片段
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if self.insert_mode == "replace":
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new_text = translated_text
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final_html = translated_html
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elif self.insert_mode == "append":
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new_text = original_text + self.separator + translated_text
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final_html = original_html + self.separator + translated_html
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elif self.insert_mode == "prepend":
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new_text = translated_text + self.separator + original_text
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final_html = translated_html + self.separator + original_html
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else:
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new_text = translated_text
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final_html = translated_html
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text_node.replace_with(new_text)
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# [修改] 清空旧内容，并追加解析后的新HTML内容
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tag.clear()
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# 解析AI返回的HTML字符串，'html.parser'对此有很好的容错性
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new_content = BeautifulSoup(final_html, 'html.parser')
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# 将解析后的所有子节点追加到原tag中
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for child in new_content.contents:
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tag.append(child.extract()) # extract()会从原文档树中移除节点，避免重复
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# 将修改后的 soup 对象转换回字节串
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for file_path, soup in modified_soups.items():
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all_files[file_path] = str(soup).encode('utf-8')
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# --- 步骤 4: 创建新的 EPUB (ZIP) 文件 ---
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output_buffer = BytesIO()
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with zipfile.ZipFile(output_buffer, 'w') as zf_out:
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# 关键：mimetype 必须是第一个文件且不能压缩
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if 'mimetype' in all_files:
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zf_out.writestr('mimetype', all_files['mimetype'], compress_type=zipfile.ZIP_STORED)
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# 写入其他所有文件
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for filename, content in all_files.items():
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if filename != 'mimetype':
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zf_out.writestr(filename, content, compress_type=zipfile.ZIP_DEFLATED)
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return output_buffer.getvalue()
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# translate 和 translate_async 方法无需修改，因为它们调用的_pre_translate和_after_translate已经被更新了
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def translate(self, document: Document) -> Self:
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"""
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同步翻译 EPUB 文档。
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"""
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all_files, items_to_translate, original_texts = self._pre_translate(document)
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if not items_to_translate:
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self.logger.info("\n文件中没有找到需要翻译的纯文本内容。")
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@@ -199,9 +178,6 @@ class EpubTranslator(AiTranslator):
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return self
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async def translate_async(self, document: Document) -> Self:
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"""
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异步翻译 EPUB 文档。
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"""
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all_files, items_to_translate, original_texts = await asyncio.to_thread(
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self._pre_translate, document
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)
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