def _is_mirrored(self, work_id: str) -> bool: """Check if work is already mirrored""" return (self.work_dir / work_id / "metadata.json").exists()
<div class="input-group"> <label>AO3 URL</label> <input type="text" id="urlInput" placeholder="https://archiveofourown.org/works/12345678"> </div> <div class="input-group"> <label>Format</label> <select id="formatSelect"> <option value="html">HTML (Original)</option> <option value="txt">Plain Text</option> <option value="epub">EPUB</option> </select> </div> <button onclick="mirrorWork()">Mirror Work</button> <button onclick="mirrorSeries()" style="margin-left: 10px;">Mirror Series</button> </div> <div class="card"> <h2>📥 Download Queue</h2> <div id="queue"></div> </div> <div class="card"> <h2>📖 Mirrored Library</h2> <div id="library" class="library-grid"></div> </div> </div> ao3 mirror
if format == 'epub': file_path = work_path / 'work.epub' mime_type = 'application/epub+zip' elif format == 'txt': file_path = work_path / 'work.txt' mime_type = 'text/plain' else: file_path = work_path / 'work.html' mime_type = 'text/html' def _is_mirrored(self, work_id: str) -> bool: """Check if
I'll help you develop an AO3 (Archive of Our Own) mirror feature. This is a tool that would allow downloading/archiving AO3 works for offline reading or backup purposes, while respecting the site's terms of service. Core Components # main.py import asyncio import json import os from datetime import datetime from typing import List, Dict, Optional from dataclasses import dataclass, asdict from pathlib import Path @dataclass class WorkMetadata: work_id: str title: str author: str author_id: str summary: str fandom: List[str] relationships: List[str] characters: List[str] tags: List[str] warnings: List[str] rating: str categories: List[str] language: str word_count: int chapters: int published_date: str updated_date: str kudos: int comments: int bookmarks: int hits: int series: Optional[List[Dict]] collections: List[str] work_id: str) ->
mirror = AO3Mirror()
async def respectful_fetch(self, url): """Fetch with proper rate limiting and headers""" await self._rate_limit() headers = { 'User-Agent': self.USER_AGENT, 'Accept': 'text/html,application/xhtml+xml', } # Implementation...