348 lines
12 KiB
Python
348 lines
12 KiB
Python
import requests
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from bs4 import BeautifulSoup
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import time
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import json
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import hashlib
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from datetime import datetime
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import smtplib
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from email.mime.text import MIMEText
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from email.mime.multipart import MIMEMultipart
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import logging
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import os
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import schedule
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from flask import Flask, jsonify
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import threading
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import signal
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import sys
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class EnhancedBarronsCrawler:
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def __init__(self):
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self.url = "https://www.barrons.com/market-data/stocks/stock-picks?mod=BOL_TOPNAV"
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self.headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
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}
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self.data_file = "/app/data/barrons_data.json"
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self.running = True
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# 從環境變數讀取設定
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self.check_interval = int(os.getenv('CHECK_INTERVAL', 300))
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self.email_config = self.load_email_config()
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self.webhook_url = os.getenv('WEBHOOK_URL')
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self.discord_webhook = os.getenv('DISCORD_WEBHOOK')
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# 設定日誌
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log_level = os.getenv('LOG_LEVEL', 'INFO')
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logging.basicConfig(
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level=getattr(logging, log_level),
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler('/app/logs/barrons_crawler.log'),
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logging.StreamHandler()
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]
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)
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self.logger = logging.getLogger(__name__)
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# 統計資料
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self.stats = {
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'start_time': datetime.now().isoformat(),
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'total_checks': 0,
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'new_picks_found': 0,
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'last_check': None,
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'last_notification': None,
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'errors': 0
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}
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def load_email_config(self):
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"""從環境變數載入電子郵件設定"""
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if all(os.getenv(key) for key in ['EMAIL_SMTP_SERVER', 'EMAIL_FROM', 'EMAIL_TO', 'EMAIL_USERNAME', 'EMAIL_PASSWORD']):
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return {
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'smtp_server': os.getenv('EMAIL_SMTP_SERVER'),
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'smtp_port': int(os.getenv('EMAIL_SMTP_PORT', 587)),
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'from_email': os.getenv('EMAIL_FROM'),
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'to_email': os.getenv('EMAIL_TO'),
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'username': os.getenv('EMAIL_USERNAME'),
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'password': os.getenv('EMAIL_PASSWORD')
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}
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return None
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def fetch_page(self):
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"""獲取網頁內容"""
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try:
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response = requests.get(self.url, headers=self.headers, timeout=30)
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response.raise_for_status()
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return response.text
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except requests.RequestException as e:
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self.logger.error(f"獲取網頁失敗: {e}")
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self.stats['errors'] += 1
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return None
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def parse_stock_picks(self, html_content):
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"""解析股票推薦內容"""
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soup = BeautifulSoup(html_content, 'html.parser')
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stock_picks = []
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try:
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# 多種選擇器策略
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selectors = [
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'article[data-module="ArticleItem"]',
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'.WSJTheme--headline',
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'.MarketDataModule-headline',
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'h3 a, h4 a',
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'[data-module] a[href*="articles"]'
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]
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for selector in selectors:
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elements = soup.select(selector)
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if elements:
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self.logger.info(f"使用選擇器找到內容: {selector}")
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break
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for element in elements[:10]: # 限制最多10個
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title = element.get_text(strip=True) if element.name != 'a' else element.get_text(strip=True)
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link = element.get('href') if element.name == 'a' else element.find('a', href=True)
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if isinstance(link, dict):
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link = link.get('href')
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elif hasattr(link, 'get'):
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link = link.get('href')
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if link and link.startswith('/'):
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link = "https://www.barrons.com" + link
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if title and len(title) > 10: # 過濾太短的標題
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stock_picks.append({
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'title': title,
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'link': link,
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'scraped_at': datetime.now().isoformat(),
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'hash': hashlib.md5(title.encode()).hexdigest()[:8]
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})
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return stock_picks
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except Exception as e:
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self.logger.error(f"解析網頁內容失敗: {e}")
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self.stats['errors'] += 1
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return []
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def load_previous_data(self):
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"""載入之前的資料"""
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try:
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with open(self.data_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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except FileNotFoundError:
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return {'content_hash': None, 'last_update': None, 'stock_picks': []}
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def save_data(self, data):
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"""儲存資料"""
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try:
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os.makedirs(os.path.dirname(self.data_file), exist_ok=True)
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with open(self.data_file, 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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except Exception as e:
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self.logger.error(f"儲存資料失敗: {e}")
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self.stats['errors'] += 1
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def send_notifications(self, new_picks):
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"""發送各種通知"""
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notification_sent = False
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# 電子郵件通知
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if self.email_config:
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try:
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self.send_email_notification(new_picks)
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notification_sent = True
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except Exception as e:
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self.logger.error(f"電子郵件通知失敗: {e}")
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# Slack/Teams Webhook
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if self.webhook_url:
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try:
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self.send_webhook_notification(new_picks)
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notification_sent = True
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except Exception as e:
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self.logger.error(f"Webhook 通知失敗: {e}")
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# Discord Webhook
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if self.discord_webhook:
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try:
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self.send_discord_notification(new_picks)
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notification_sent = True
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except Exception as e:
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self.logger.error(f"Discord 通知失敗: {e}")
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if notification_sent:
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self.stats['last_notification'] = datetime.now().isoformat()
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def send_email_notification(self, new_picks):
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"""發送電子郵件通知"""
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msg = MIMEMultipart()
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msg['From'] = self.email_config['from_email']
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msg['To'] = self.email_config['to_email']
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msg['Subject'] = f"📈 Barron's 新股票推薦 ({len(new_picks)}條)"
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body = f"發現 {len(new_picks)} 條新的股票推薦：\n\n"
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for pick in new_picks:
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body += f"📊 {pick['title']}\n"
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if pick.get('link'):
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body += f"🔗 {pick['link']}\n"
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body += f"🕒 {pick['scraped_at']}\n"
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body += "-" * 60 + "\n"
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msg.attach(MIMEText(body, 'plain', 'utf-8'))
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server = smtplib.SMTP(self.email_config['smtp_server'], self.email_config['smtp_port'])
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server.starttls()
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server.login(self.email_config['username'], self.email_config['password'])
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server.send_message(msg)
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server.quit()
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def send_webhook_notification(self, new_picks):
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"""發送 Webhook 通知（Slack/Teams）"""
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message = f"🚨 發現 {len(new_picks)} 條新的 Barron's 股票推薦！\n\n"
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for pick in new_picks[:5]: # 限制5條避免訊息太長
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message += f"📊 {pick['title']}\n"
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if pick.get('link'):
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message += f"🔗 {pick['link']}\n"
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payload = {"text": message}
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requests.post(self.webhook_url, json=payload)
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def send_discord_notification(self, new_picks):
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"""發送 Discord 通知"""
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embed = {
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"title": f"📈 Barron's 新股票推薦",
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"description": f"發現 {len(new_picks)} 條新推薦",
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"color": 0x00ff00,
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"fields": []
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}
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for pick in new_picks[:5]:
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embed["fields"].append({
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"name": pick['title'][:256],
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"value": pick.get('link', '無連結')[:1024],
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"inline": False
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})
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payload = {"embeds": [embed]}
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requests.post(self.discord_webhook, json=payload)
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def find_new_picks(self, current_picks, previous_picks):
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"""找出新的股票推薦"""
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previous_hashes = {pick['hash'] for pick in previous_picks if 'hash' in pick}
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return [pick for pick in current_picks if pick['hash'] not in previous_hashes]
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def run_check(self):
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"""執行一次檢查"""
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self.logger.info("開始檢查 Barron's 股票推薦...")
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self.stats['total_checks'] += 1
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self.stats['last_check'] = datetime.now().isoformat()
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try:
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# 獲取和解析內容
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html_content = self.fetch_page()
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if not html_content:
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return
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current_picks = self.parse_stock_picks(html_content)
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if not current_picks:
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self.logger.warning("未找到股票推薦內容")
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return
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# 載入之前的資料
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previous_data = self.load_previous_data()
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previous_picks = previous_data.get('stock_picks', [])
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# 檢查新內容
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new_picks = self.find_new_picks(current_picks, previous_picks)
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if new_picks:
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self.logger.info(f"🚨 發現 {len(new_picks)} 條新推薦")
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self.stats['new_picks_found'] += len(new_picks)
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# 發送通知
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self.send_notifications(new_picks)
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# 儲存資料
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new_data = {
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'last_update': datetime.now().isoformat(),
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'stock_picks': current_picks,
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'stats': self.stats
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}
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self.save_data(new_data)
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return new_picks
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else:
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self.logger.info("✅ 沒有發現新內容")
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return []
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except Exception as e:
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self.logger.error(f"檢查過程中發生錯誤: {e}")
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self.stats['errors'] += 1
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return None
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def signal_handler(self, signum, frame):
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"""處理停止信號"""
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self.logger.info("收到停止信號，正在關閉...")
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self.running = False
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def run(self):
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"""主運行循環"""
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# 註冊信號處理
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signal.signal(signal.SIGINT, self.signal_handler)
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signal.signal(signal.SIGTERM, self.signal_handler)
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# 使用 schedule 庫進行調度
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schedule.every(self.check_interval).seconds.do(self.run_check)
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self.logger.info(f"🚀 爬蟲已啟動，每 {self.check_interval} 秒檢查一次")
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# 立即執行一次檢查
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self.run_check()
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while self.running:
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schedule.run_pending()
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time.sleep(1)
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self.logger.info("爬蟲已停止")
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# Flask Web API
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app = Flask(__name__)
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crawler_instance = None
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@app.route('/health')
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def health_check():
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"""健康檢查端點"""
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return jsonify({"status": "healthy", "timestamp": datetime.now().isoformat()})
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@app.route('/stats')
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def get_stats():
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"""獲取統計資料"""
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if crawler_instance:
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return jsonify(crawler_instance.stats)
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return jsonify({"error": "Crawler not initialized"})
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@app.route('/check')
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def manual_check():
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"""手動觸發檢查"""
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if crawler_instance:
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result = crawler_instance.run_check()
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return jsonify({"result": f"Found {len(result) if result else 0} new picks"})
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return jsonify({"error": "Crawler not initialized"})
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def run_flask_app():
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"""運行 Flask 應用"""
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app.run(host='0.0.0.0', port=8080, debug=False)
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if __name__ == "__main__":
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# 創建爬蟲實例
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crawler_instance = EnhancedBarronsCrawler()
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# 在背景執行 Flask API
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flask_thread = threading.Thread(target=run_flask_app, daemon=True)
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flask_thread.start()
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# 運行主爬蟲
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crawler_instance.run() |