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a96145c 623f05d a96145c a6515c4 a96145c 623f05d a96145c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | from collections import defaultdict
from .models import NewsCluster
class NewsPresenter:
CATEGORIES = ["Geopolitical", "World Health", "Tech", "Cybersecurity", "Funny/Weird", "Gaming", "Movies", "Arab World", "Tunisia"]
@staticmethod
def display(clusters: list[NewsCluster], top_n: int = 10):
if not clusters:
print("\n No news stories matched your interests this round.")
return
by_cat: dict[str, list[NewsCluster]] = defaultdict(list)
for c in clusters:
cat = "General"
if c.articles and c.articles[0].analysis:
ca = c.articles[0].analysis.category
cat = ca if ca in NewsPresenter.CATEGORIES else "General"
by_cat[cat].append(c)
print("╔" + "═" * 78 + "╗")
print("║ 📰 NEWS DIGEST — Top Stories ║".center(80))
print("╚" + "═" * 78 + "╝")
for cat in NewsPresenter.CATEGORIES:
items = by_cat.get(cat, [])
items.sort(key=lambda x: (x.articles[0].article.published_iso or x.articles[0].post.published_iso or "", x.final_score), reverse=True)
items = items[:top_n]
if not items:
continue
print(f"\n ══ {cat} ({len(items)}) ══\n")
for i, cluster in enumerate(items, 1):
print(f" #{i:<2} [{cluster.topic:<30}] "
f"Score: {cluster.final_score:.2f} "
f"Trust: {cluster.avg_trustworthiness:.0%}")
item = cluster.articles[0]
title = item.article.title[:72] + "…" if item.article.title and len(item.article.title) > 72 else (item.article.title or item.post.title)
print(f" {title}")
published = item.article.published or item.post.published
if published:
print(f" 📅 {published}")
if item.analysis and item.analysis.summary:
short = item.analysis.summary[:72] + "…" if len(item.analysis.summary) > 72 else item.analysis.summary
print(f" → {short}")
print()
print("▔" * 80)
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