scripts/scrape_quick.py

"""
Quick scraper - Get 100 articles from each source for testing.
"""

import json
import time
import random
import requests
from bs4 import BeautifulSoup
from pathlib import Path

OUTPUT_DIR = Path(__file__).parent.parent / "data"

# VnExpress categories
VNEXPRESS_CATEGORIES = {
    "thoi-su": "Thời sự",
    "the-gioi": "Thế giới",
    "kinh-doanh": "Kinh doanh",
    "giai-tri": "Giải trí",
    "the-thao": "Thể thao",
}

# Dan Tri categories
DANTRI_CATEGORIES = {
    "xa-hoi": "Xã hội",
    "the-gioi": "Thế giới",
    "kinh-doanh": "Kinh doanh",
    "giai-tri": "Giải trí",
    "the-thao": "Thể thao",
}

HEADERS = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"}


def scrape_vnexpress_article(url: str) -> dict | None:
    try:
        response = requests.get(url, timeout=30, headers=HEADERS)
        soup = BeautifulSoup(response.text, "html.parser")

        title = soup.select_one("h1.title-detail")
        title = title.get_text(strip=True) if title else ""

        desc = soup.select_one("p.description")
        desc = desc.get_text(strip=True) if desc else ""

        content_elem = soup.select_one("article.fck_detail")
        if content_elem:
            paragraphs = content_elem.select("p.Normal")
            content = "\n\n".join(p.get_text(strip=True) for p in paragraphs if p.get_text(strip=True))
        else:
            content = ""

        if not content:
            return None

        return {"title": title, "description": desc, "content": content}
    except Exception as e:
        return None


def scrape_dantri_article(url: str) -> dict | None:
    try:
        response = requests.get(url, timeout=30, headers=HEADERS)
        soup = BeautifulSoup(response.text, "html.parser")

        title = soup.select_one("h1.title-page") or soup.select_one("h1.e-magazine__title")
        title = title.get_text(strip=True) if title else ""

        desc = soup.select_one("h2.singular-sapo") or soup.select_one("div.singular-sapo")
        desc = desc.get_text(strip=True) if desc else ""

        content_elem = soup.select_one("div.singular-content") or soup.select_one("div.e-magazine__body")
        if content_elem:
            paragraphs = content_elem.select("p")
            content = "\n\n".join(p.get_text(strip=True) for p in paragraphs if p.get_text(strip=True))
        else:
            content = ""

        if not content:
            return None

        return {"title": title, "description": desc, "content": content}
    except Exception as e:
        return None


def get_vnexpress_urls(category: str, max_articles: int = 25) -> list[str]:
    urls = []
    url = f"https://vnexpress.net/{category}"
    try:
        response = requests.get(url, timeout=30, headers=HEADERS)
        soup = BeautifulSoup(response.text, "html.parser")
        articles = soup.select("article.item-news h3.title-news a")
        for a in articles[:max_articles]:
            href = a.get("href", "")
            if href.startswith("https://vnexpress.net"):
                urls.append(href)
    except:
        pass
    return urls


def get_dantri_urls(category: str, max_articles: int = 25) -> list[str]:
    urls = []
    url = f"https://dantri.com.vn/{category}.htm"
    try:
        response = requests.get(url, timeout=30, headers=HEADERS)
        soup = BeautifulSoup(response.text, "html.parser")
        articles = soup.select("h3.article-title a")
        for a in articles[:max_articles]:
            href = a.get("href", "")
            full_url = href if href.startswith("http") else f"https://dantri.com.vn{href}"
            urls.append(full_url)
    except:
        pass
    return urls


def main():
    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
    all_articles = []

    # Scrape VnExpress
    print("=== Scraping VnExpress ===")
    for cat_slug, cat_name in VNEXPRESS_CATEGORIES.items():
        print(f"  {cat_name}...", end=" ")
        urls = get_vnexpress_urls(cat_slug)
        count = 0
        for url in urls:
            article = scrape_vnexpress_article(url)
            if article:
                article["source"] = "vnexpress"
                article["url"] = url
                article["category"] = cat_name
                all_articles.append(article)
                count += 1
            time.sleep(random.uniform(0.2, 0.5))
        print(f"{count} articles")

    # Scrape Dan Tri
    print("\n=== Scraping Dan Tri ===")
    for cat_slug, cat_name in DANTRI_CATEGORIES.items():
        print(f"  {cat_name}...", end=" ")
        urls = get_dantri_urls(cat_slug)
        count = 0
        for url in urls:
            article = scrape_dantri_article(url)
            if article:
                article["source"] = "dantri"
                article["url"] = url
                article["category"] = cat_name
                all_articles.append(article)
                count += 1
            time.sleep(random.uniform(0.2, 0.5))
        print(f"{count} articles")

    # Save
    output_file = OUTPUT_DIR / "all_articles.json"
    with open(output_file, "w", encoding="utf-8") as f:
        json.dump(all_articles, f, ensure_ascii=False, indent=2)

    print(f"\n=== Total: {len(all_articles)} articles ===")
    print(f"Saved to: {output_file}")


if __name__ == "__main__":
    main()