Add Gitea Actions workflow for auto-deployment

- Deploy to /home/bini/project/collect-japan-news on push to main
- Pull code, rebuild Docker container, and restart
- Include health check after deployment

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.gitea/workflows/deploy.yml

@@ -0,0 +1,33 @@
+name: Deploy to Home Server
+
+on:
+  push:
+    branches:
+      - main
+
+env:
+  DEPLOY_PATH: /home/bini/project/collect-japan-news
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Pull latest code
+        run: |
+          cd ${{ env.DEPLOY_PATH }}
+          git pull origin main
+
+      - name: Rebuild and restart container
+        run: |
+          cd ${{ env.DEPLOY_PATH }}
+          docker compose down
+          docker compose build --no-cache
+          docker compose up -d
+
+      - name: Cleanup old images
+        run: docker image prune -f
+
+      - name: Health check
+        run: |
+          sleep 5
+          curl -f http://localhost:8001 || exit 1

scraper.py

@@ -13,12 +13,39 @@ class NewsScraper:
         "Economy": "https://news.yahoo.co.jp/categories/business",
         "Society": "https://news.yahoo.co.jp/categories/domestic",
         "Lifestyle": "https://news.yahoo.co.jp/categories/life",
-        "Health": "https://news.yahoo.co.jp/search?p=%E5%81%A5%E5%BA%B7&ei=utf-8"  # Search for 'Health'
+        "Health": None,  # Special handling - uses multiple search sources
     }
 
-    HEALTH_KEYWORDS = ["健康", "医療", "病気", "病院", "医師", "薬", "ワクチン", "感染", "介護", "認知症", "老化", "ダイエット", "運動", "睡眠", "ストレス", "メンタル"]
+    # Multiple search sources for senior-friendly health content
+    HEALTH_SEARCH_SOURCES = [
+        # 건강 지식
+        "https://news.yahoo.co.jp/search?p=%E5%81%A5%E5%BA%B7%E6%B3%95+%E7%94%9F%E6%B4%BB%E7%BF%92%E6%85%A3&ei=utf-8",  # 健康法 生活習慣
+        # 좋은 음식/영양
+        "https://news.yahoo.co.jp/search?p=%E5%81%A5%E5%BA%B7+%E9%A3%9F%E4%BA%8B+%E6%A0%84%E9%A4%8A&ei=utf-8",  # 健康 食事 栄養
+        # 시니어 운동/체조
+        "https://news.yahoo.co.jp/search?p=%E4%BD%93%E6%93%8D+%E3%82%B9%E3%83%88%E3%83%AC%E3%83%83%E3%83%81+%E3%82%A6%E3%82%A9%E3%83%BC%E3%82%AD%E3%83%B3%E3%82%B0&ei=utf-8",  # 体操 ストレッチ ウォーキング
+        # 질병 예방
+        "https://news.yahoo.co.jp/search?p=%E8%AA%8D%E7%9F%A5%E7%97%87%E4%BA%88%E9%98%B2+%E8%80%81%E5%8C%96%E9%98%B2%E6%AD%A2&ei=utf-8",  # 認知症予防 老化防止
+    ]
+
+    # Keywords for senior-friendly health content
+    HEALTH_POSITIVE_KEYWORDS = [
+        "健康法", "栄養", "食事", "食べ物", "レシピ", "体操", "ストレッチ", "ウォーキング",
+        "睡眠", "生活習慣", "予防", "免疫", "認知症予防", "筋トレ", "シニア", "高齢者",
+        "長寿", "元気", "若返り", "老化防止", "サプリ", "ビタミン", "血圧", "血糖値"
+    ]
+
+    # Keywords to filter out (sports/entertainment news)
+    HEALTH_EXCLUDE_KEYWORDS = [
+        "選手", "試合", "優勝", "大会", "リーグ", "プロ野球", "サッカー", "相撲",
+        "芸能", "俳優", "女優", "タレント", "アイドル", "ドラマ", "映画"
+    ]
 
     def scrape_category(self, category_name: str, limit: int = 5) -> List[Article]:
+        # Special handling for Health category - use multiple sources
+        if category_name == "Health":
+            return self._scrape_health_articles(limit)
+
         url = self.CATEGORIES.get(category_name)
         if not url:
             print(f"Unknown category: {category_name}")
@@ -60,8 +87,12 @@ class NewsScraper:
                     if len(title) < 5:
                         continue
                         
-                    if category_name == "Health":
+                    # Filter health articles to exclude sports/entertainment
-                        pass 
+                    if category_name.startswith("Health"):
+                        # Skip if title contains excluded keywords
+                        if any(kw in title for kw in self.HEALTH_EXCLUDE_KEYWORDS):
+                            print(f"  Skipping (excluded): {title[:30]}...")
+                            continue
 
                     # Image extraction
                     img_tag = link.find('img')
@@ -160,6 +191,96 @@ class NewsScraper:
             print(f"Error scraping body from {url}: {e}")
             return ""
 
+    def _scrape_health_articles(self, limit: int = 5) -> List[Article]:
+        """Scrape health articles from multiple sources with filtering for senior-friendly content."""
+        print("Scraping Health articles from multiple sources...")
+
+        all_articles = []
+        seen_urls = set()
+        articles_per_source = max(2, limit // len(self.HEALTH_SEARCH_SOURCES) + 1)
+
+        for source_url in self.HEALTH_SEARCH_SOURCES:
+            if len(all_articles) >= limit:
+                break
+
+            print(f"  Searching: {source_url[:80]}...")
+
+            try:
+                response = requests.get(source_url)
+                response.raise_for_status()
+                soup = BeautifulSoup(response.content, "html.parser")
+
+                candidates = soup.find_all('a')
+                source_count = 0
+
+                for link in candidates:
+                    if source_count >= articles_per_source or len(all_articles) >= limit:
+                        break
+
+                    href = link.get('href')
+                    if not href:
+                        continue
+
+                    if 'news.yahoo.co.jp/articles/' in href or 'news.yahoo.co.jp/pickup/' in href:
+                        if href.startswith('/'):
+                            href = self.BASE_URL + href
+
+                        if href in seen_urls:
+                            continue
+
+                        title = link.get_text(strip=True)
+                        if len(title) < 5:
+                            continue
+
+                        # Filter out sports/entertainment news
+                        if any(kw in title for kw in self.HEALTH_EXCLUDE_KEYWORDS):
+                            print(f"    Skipping (sports/entertainment): {title[:30]}...")
+                            continue
+
+                        seen_urls.add(href)
+                        print(f"    Found: {title[:40]}...")
+
+                        # Image extraction
+                        img_tag = link.find('img')
+                        image_url = img_tag.get('src') if img_tag else None
+
+                        # Resolve pickup URLs
+                        final_url = href
+                        if "/pickup/" in href:
+                            real_url = self.resolve_pickup_url(href)
+                            if real_url:
+                                final_url = real_url
+
+                        article = Article(
+                            title=title,
+                            url=final_url,
+                            image_url=image_url,
+                            category="Health",
+                            published_date=datetime.now().strftime("%Y-%m-%d"),
+                            collected_at=datetime.now().isoformat()
+                        )
+
+                        # Fetch content
+                        try:
+                            content = self.scrape_article_body(final_url)
+                            article.content = content
+                            time.sleep(random.uniform(0.5, 1.0))
+                        except Exception as e:
+                            print(f"    Failed to fetch content: {e}")
+                            article.content = "Failed to load content."
+
+                        all_articles.append(article)
+                        source_count += 1
+
+            except Exception as e:
+                print(f"  Error with source {source_url[:50]}: {e}")
+                continue
+
+            time.sleep(random.uniform(0.5, 1.0))
+
+        print(f"Total Health articles collected: {len(all_articles)}")
+        return all_articles
+
 if __name__ == "__main__":
     # Test run
     scraper = NewsScraper()