Novel Pdf | Comeback A Kpop

# ---- 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)

# ---- 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))) comeback a kpop novel pdf

# ---- 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() limit=20) hits = ['page': r['page_id']

app = Flask(__name__)