Comeback A Kpop Novel Pdf Apr 2026
app = Flask(__name__)
| Feature | Why it matters for a K‑pop comeback novel | How you could implement it (low‑tech → high‑tech) | |---------|--------------------------------------------|---------------------------------------------------| | Smart Table of Contents (TOC) Generator | K‑pop novels often jump between multiple POVs (trainee, leader, producer) and timeline jumps (pre‑debut → comeback). A clickable TOC helps readers jump to the right chapter or “episode”. | • Use PDF‑outline extraction libraries (PyPDF2, pdfminer) → auto‑detect headings (e.g., “Chapter 3 – The Comeback Stage”). • Offer a UI button “Re‑generate TOC” for manually‑tagged sections. | | Search‑by‑Keyword + Highlight | Fans love to search for “practice room”, “concept”, or a specific idol’s name. | • Full‑text indexing with Whoosh or ElasticSearch . • Instant highlight of all matches, with a “Next/Prev” navigation bar. | | Character‑Tracker Sidebar | Keeps track of each idol’s arc (e.g., leader’s anxiety, maknae’s romance). | • Parse the PDF for bolded names or use a simple JSON config: "Lee‑Hyun": ["chapter‑2", "chapter‑5"], … . • Sidebar shows a checklist of “Seen?” and a brief bio. | | Timeline Visualizer | K‑pop comebacks are date‑driven (teaser → concept reveal → showcase). | • Extract date strings (e.g., “Oct 12, 2024”) → feed into a Gantt‑style timeline view (D3.js, Chart.js). | | Music‑Link Integration | Readers want to listen to the “song” described in the novel. | • Detect lyrics snippets → auto‑search YouTube/Spotify and embed a play button. | | Annotation & Fan‑Notes | Fans love to annotate with theories, translations, or fan‑art. | • Built‑in sticky notes (like PDF‑XChange). • Export/import notes as a JSON file for sharing. | | Translation Mode | Many K‑pop novels are originally in Korean; English readers need a quick translation. | • Integrate a free API (e.g., LibreTranslate) for on‑the‑fly paragraph translation. • Show original + translated text side‑by‑side. | | Offline‑First Sync | Fans may be on mobile with limited data while commuting. | • Store the PDF and all metadata in IndexedDB/SQLite; sync notes when back online. | | Fan‑Community Export | Let readers share a “chapter‑highlight pack” with fellow fans. | • Generate a zip containing the selected PDF pages + notes + a short summary. | | Legal‑Source Locator | Ensures readers are reading from a licensed source. | • Include a “Check Official Source” button that queries the publisher’s API or a known store (e.g., Amazon Kindle, Google Books). | 2️⃣ Quick‑Start Implementation Sketch (Python + Electron) # 1️⃣ Install core libs pip install pypdf2 pdfminer.six whoosh flask flask-cors npm i electron@latest # app/server.py (Flask backend) from flask import Flask, request, jsonify, send_file import pdfminer.high_level as pm from whoosh.index import create_in from whoosh.fields import TEXT, ID comeback a kpop novel pdf
# ---- 2️⃣ Search endpoint ---------------------------------------------------- @app.route('/search') def search(): q = request.args.get('q') with ix.searcher() as s: results = s.search(q, limit=20) hits = ['page': r['page_id'], 'snippet': r.highlights('content') for r in results] return jsonify(hits) app = Flask(__name__) | Feature | Why it
# ---- 1️⃣ Build search index ------------------------------------------------- def index_pdf(pdf_path): writer = ix.writer() for page_num, text in enumerate(pm.extract_text(pdf_path).split('\f')): writer.add_document(page_id=str(page_num), content=text) writer.commit() • Offer a UI button “Re‑generate TOC” for
# ---- 3️⃣ Timeline extraction (simple regex) --------------------------------- import re, datetime date_pat = re.compile(r'\b(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]*\s+\d1,2,\s+\d4\b') @app.route('/timeline') def timeline(): text = pm.extract_text('novel.pdf') dates = date_pat.findall(text) # Convert to ISO for sorting iso = [datetime.datetime.strptime(d, '%b %d, %Y').isoformat() for d in dates] return jsonify(sorted(set(iso)))