{"id":2668,"date":"2025-09-30T07:52:00","date_gmt":"2025-09-29T23:52:00","guid":{"rendered":"https:\/\/www.laoyulaoyu.com\/?p=2668"},"modified":"2025-09-15T17:18:11","modified_gmt":"2025-09-15T09:18:11","slug":"%e4%b8%8d%e5%88%b050%e8%a1%8cpython%e4%bb%a3%e7%a0%81%ef%bc%8c%e5%b0%b1%e8%83%bd%e8%ae%a9%e6%82%a8%e5%bc%80%e7%9b%98%e5%89%8d%e7%9c%8b%e6%87%82%e5%b8%82%e5%9c%ba%e6%83%85%e7%bb%aa%ef%bc%88%e9%99%84","status":"publish","type":"post","link":"https:\/\/www.laoyulaoyu.com\/index.php\/2025\/09\/30\/%e4%b8%8d%e5%88%b050%e8%a1%8cpython%e4%bb%a3%e7%a0%81%ef%bc%8c%e5%b0%b1%e8%83%bd%e8%ae%a9%e6%82%a8%e5%bc%80%e7%9b%98%e5%89%8d%e7%9c%8b%e6%87%82%e5%b8%82%e5%9c%ba%e6%83%85%e7%bb%aa%ef%bc%88%e9%99%84\/","title":{"rendered":"\u4e0d\u523050\u884cPython\u4ee3\u7801\uff0c\u5c31\u80fd\u8ba9\u60a8\u5f00\u76d8\u524d\u770b\u61c2\u5e02\u573a\u60c5\u7eea\uff08\u9644\u6e90\u7801\uff09"},"content":{"rendered":"\n

\u4f5c \u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\n
\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u6211\u7528Python\u5199\u4e86\u4e00\u4e2a\u4e0d\u523050\u884c\u4ee3\u7801\u7684\u60c5\u7eea\u5c0f\u52a9\u624b\uff0c\u5b83\u80fd\u8bfb\u53d6\u65b0\u95fb\u548c\u63a8\u7279\u6d88\u606f\uff0c\u5206\u6790\u51fa\u5e02\u573a\u7684\u60c5\u7eea\u6709\u53ef\u80fd\u662f\u770b\u6da8\u3001\u770b\u8dcc\u8fd8\u662f\u4e2d\u6027\u3002\u6bcf\u6b21\u5f00\u76d8\u524d\u8fd0\u884c\u4e00\u4e0b\uff0c\u8ba9\u4ea4\u6613\u51b3\u7b56\u66f4\u6709\u5e95\u6c14\u3002<\/mark>\u4ee3\u7801\u5df2\u5907\u597d\uff0c\u624b\u628a\u624b\u6559\u4f60\u7528\uff01<\/pre>\n<\/blockquote>\n\n\n\n
\u4e00\u3001\u4e3a\u4ec0\u4e48\u8981\u5728\u610f\u5e02\u573a\u60c5\u7eea<\/strong><\/strong><\/h2>\n\n\n\n
\u6bcf\u5929\u65e9\u4e0a\u6253\u5f00\u5fae\u4fe1\u6216\u8005X\uff0c\u4f60\u603b\u4f1a\u770b\u5230\uff1a\u6bd4\u7279\u5e01\u8981\u6da8\u4e86\uff0c\u7ecf\u6d4e\u8981\u8870\u9000\u4e86\uff0c\u8fd9\u53ea\u80a1\u7968\u8981\u98de\u4e0a\u5929\u4e86\uff01\u8fd9\u4e9b\u58f0\u97f3\u4e2d\uff0c\u6709\u7684\u5174\u594b\uff0c\u6709\u7684\u5bb3\u6015\uff0c\u4f46\u5927\u591a\u6570\u90fd\u662f\u566a\u97f3\u3002\u4e0d\u8fc7\uff0c\u5728\u8fd9\u4e9b\u566a\u97f3\u4e2d\uff0c\u5176\u5b9e\u9690\u85cf\u7740\u5e02\u573a\u7684\u60c5\u7eea\u3002<\/p>\n\n\n\n
\u5e02\u573a\u9996\u5148\u662f\u60c5\u7eea\u7684\u4ea7\u7269\uff0c\u7136\u540e\u624d\u662f\u57fa\u672c\u9762\u7684\u53cd\u6620\u3002<\/p>\n\n\n\n
    \n
  • \u770b\u6da8\u60c5\u7eea \u2192 \u4ea4\u6613\u8005\u505a\u591a\uff0c\u52a8\u91cf\u5ef6\u7eed\u3002<\/li>\n\n\n\n
  • \u770b\u8dcc\u60c5\u7eea \u2192 \u6050\u60e7\u5bfc\u81f4\u629b\u538b\u3002<\/li>\n\n\n\n
  • \u4e2d\u6027\u60c5\u7eea \u2192 \u9707\u8361\u3001\u72b9\u8c6b\u3001\u5047\u7a81\u7834\u3002<\/li>\n<\/ul>\n\n\n\n
    \u4ef7\u683c\u8d70\u52bf\u672c\u8d28\u662f\u5927\u4f17\u5fc3\u7406\u7684\u811a\u5370\u3002\u4f5c\u4e3a\u4ea4\u6613\u8005\uff0c\u5982\u679c\u80fd\u5728\u5f00\u76d8\u524d\u6355\u6349\u5230\u8fd9\u79cd\u60c5\u7eea\uff0c\u7ed3\u679c\u53ef\u80fd\u5929\u5dee\u5730\u522b\uff1a<\/p>\n\n\n\n
      \n
    • \u5927\u5bb6\u8d2a\u5a6a\u65f6\uff0c\u8ddf\u8fdb\u7a81\u7834\uff1b<\/li>\n\n\n\n
    • \u4eba\u4eba\u6050\u60e7\u65f6\uff0c\u4fdd\u6301\u8c28\u614e\uff1b<\/li>\n\n\n\n
    • \u60c5\u7eea\u6781\u7aef\u65f6\uff0c\u53cd\u5411\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n\n\n\n
      \u5927\u673a\u6784\u7528\u673a\u5668\u5b66\u4e60\u5206\u6790\u6d77\u91cf\u65b0\u95fb\uff0c\u4f46\u6211\u4eec\u4e0d\u9700\u8981\u90a3\u4e48\u590d\u6742\u2014\u2014\u4e00\u4e2a\u5c0f\u811a\u672c+\u4e00\u70b9\u597d\u5947\u5fc3\uff0c\u5c31\u591f\u4e86\u3002\u8fd9\u4e2a\u4e0d\u523050\u884c\u4ee3\u7801\u7684Python\u5c0f\u673a\u5668\u4eba\uff0c\u5b83\u80fd\u8bfb\u53d6\u65b0\u95fb\u548c\u63a8\u7279\uff0c\u7136\u540e\u7528\u5927\u767d\u8bdd\u544a\u8bc9\u6211\uff1a<\/p>\n\n\n\n
      \ud83d\udc49 \u4eca\u5929\u5e02\u573a\u770b\u6da8 \ud83d\udfe2\u3001\u770b\u8dcc \ud83d\udd34\uff0c\u8fd8\u662f\u4e2d\u6027 \u26aa\u3002<\/pre>\n\n\n\n
      \u6211\u67e5\u4e862025\u5e74\u6700\u65b0\u8d44\u6599\uff0c\u60c5\u7eea\u5206\u6790\u73b0\u5728\u66f4\u52a0\u6d41\u884c\uff0c\u7528\u5728\u80a1\u5e02\u548c\u52a0\u5bc6\u8d27\u5e01\u4e0a\uff0c\u80fd\u63d0\u9ad8\u80dc\u738720%\u4ee5\u4e0a\u3002<\/p>\n\n\n\n
      \u4e8c\u3001\u624b\u628a\u624b\u6559\u5b66<\/strong>
      <\/h2>\n\n\n\n
      2.1 \u5c0f\u673a\u5668\u4eba\u600e\u4e48\u5de5\u4f5c<\/strong><\/h3>\n\n\n\n
      \u8fd9\u4e2a\u673a\u5668\u4eba\u5c0f\u52a9\u624b\u53ea\u5305\u542b\u4e09\u4e2a\u7b80\u5355\u90e8\u5206\uff1a<\/p>\n\n\n\n
      1. \u83b7\u53d6\u6570\u636e<\/strong><\/p>\n\n\n\n
        \n
      • \u4eceNewsAPI\u83b7\u53d6\u5168\u7403\u65b0\u95fb\u5934\u6761\u3002<\/li>\n\n\n\n
      • \u7528TwitterAPI\u6293\u53d6\u70ed\u95e8\u63a8\u6587\u3002<\/li>\n<\/ul>\n\n\n\n
        2. \u5206\u6790\u60c5\u7eea<\/strong><\/p>\n\n\n\n
          \n
        • \u4f7f\u7528VADER\uff08\u60c5\u7eea\u8bcd\u5178\uff09\uff0c\u4e13\u95e8\u9488\u5bf9\u77ed\u6587\u5982\u63a8\u6587\u3002<\/li>\n\n\n\n
        • \u6bcf\u6761\u6d88\u606f\u6253\u5206\uff0c-1\uff08\u8d1f\u9762\uff09\u5230+1\uff08\u6b63\u9762\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
          3. \u603b\u7ed3\u8f93\u51fa<\/strong><\/p>\n\n\n\n
            \n
          • \u8ba1\u7b97\u5e73\u5747\u5206\u3002<\/li>\n\n\n\n
          • \u8f93\u51fa\u5e02\u573a\u60c5\u7eea\u76f8\u5173\u6570\u503c\u5982\u4e0b\u8868\uff1a<\/li>\n<\/ul>\n\n\n\n
            \u5206\u6570\u8303\u56f4<\/th>\u5e02\u573a\u5fc3\u60c5<\/th>\u5efa\u8bae\u884c\u52a8<\/th><\/tr><\/thead>
            > 0.05<\/td>\ud83d\udfe2 \u725b\u5e02<\/td>\u8ffd\u4e70\u7a81\u7834<\/td><\/tr>
            < -0.05<\/td>\ud83d\udd34 \u718a\u5e02<\/td>\u5c0f\u5fc3\u5356\u51fa<\/td><\/tr>
            -0.05 \u5230 0.05<\/td>\u26aa \u4e2d\u6027<\/td>\u89c2\u671b\u6216\u5c0f\u4ed3<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

            2.2 \u51c6\u5907\u5de5\u4f5c<\/strong><\/h3>\n\n\n\n
            \u9996\u5148\uff0c\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n\n\n\n
            pip install tweepy requests vaderSentiment python-dotenv<\/pre>\n\n\n\n
            \u7136\u540e\uff0c\u7533\u8bf7\u4e24\u4e2aAPI\u5bc6\u94a5\uff1a<\/p>\n\n\n\n
              \n
            • NewsAPI\uff1a\u514d\u8d39\u6ce8\u518c.<\/li>\n\n\n\n
            • Twitter API\uff1a\u7533\u8bf7Bearer Token\u3002<\/li>\n<\/ul>\n\n\n\n
              \u5728\u9879\u76ee\u76ee\u5f55\u4e0b\u521b\u5efa.env<\/code>\u6587\u4ef6\uff0c\u586b\u5165\u4f60\u7684\u5bc6\u94a5\uff1a<\/p>\n\n\n\n
              NEWS_API_KEY=\u4f60\u7684NewsAPI\u5bc6\u94a5\nTWITTER_BEARER=\u4f60\u7684Twitter\u5bc6\u94a5<\/pre>\n\n\n\n
              2.3 \u5b8c\u6574\u4ee3\u7801<\/strong><\/h3>\n\n\n\n
              \u4e0b\u9762\u5c31\u662f\u5b8c\u6574\u7684\u4ee3\u7801\uff0c\u4f60\u53ef\u4ee5\u76f4\u63a5\u4fdd\u5b58\u4e3asentiment_bot.py<\/code>\u6587\u4ef6\uff1a<\/p>\n\n\n\n
              # \u5e02\u573a\u60c5\u7eea\u5206\u6790\u673a\u5668\u4eba

              import os
              import requests
              import tweepy
              from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
              from dotenv import load_dotenv

              # \u52a0\u8f7dAPI\u5bc6\u94a5
              load_dotenv()
              NEWS_API_KEY = os.getenv(\"NEWS_API_KEY\")
              TWITTER_BEARER = os.getenv(\"TWITTER_BEARER\")

              # \u521d\u59cb\u5316\u60c5\u7eea\u5206\u6790\u5668
              analyzer = SentimentIntensityAnalyzer()

              # \u83b7\u53d6\u65b0\u95fb\u5934\u6761
              def fetch_news(query=\"\u80a1\u7968 OR \u52a0\u5bc6\u8d27\u5e01 OR \u5168\u7403\u5e02\u573a\", max_results=20):
                  url = f\"https:\/\/newsapi.org\/v2\/everything?q={query}&language=en&sortBy=publishedAt&pageSize={max_results}&apiKey={NEWS_API_KEY}\"
                  response = requests.get(url)
                  articles = response.json().get(\"articles\", [])
                  return [a[\"title\"] for a in articles if \"title\" in a]

              # \u83b7\u53d6\u63a8\u6587
              def fetch_tweet(query=\"\u80a1\u7968 OR \u52a0\u5bc6\u8d27\u5e01 OR \u6bd4\u7279\u5e01\", max_results=20):
                  client = tweepy.Client(bearer_token=TWITTER_BEARER)
                  tweets = client.search_recent_tweets(query=query, max_results=max_results, tweet_fields=[\"text\", \"lang\"])
                  return [t.text for t in tweets.data if t.lang == \"en\"] if tweets.data else []

              # \u5206\u6790\u60c5\u7eea
              def analyze_sentiment(texts):
                  scores = []
                  for text in texts:
                      vs = analyzer.polarity_scores(text)
                      scores.append(vs[\"compound\"])
                  return scores

              # \u83b7\u53d6\u5e02\u573a\u60c5\u7eea
              def get_market_sentiment():
                  news = fetch_news()
                  tweets = fetch_tweet()
                  all_texts = news + tweets
                  scores = analyze_sentiment(all_texts)

                  if not scores:
                      return \"\u6ca1\u6709\u83b7\u53d6\u5230\u6570\u636e\"

                  avg_score = sum(scores) \/ len(scores)

                  if avg_score > 0.05:
                      mood = \"\ud83d\udfe2 \u770b\u6da8\"
                  elif avg_score < -0.05:
                      mood = \"\ud83d\udd34 \u770b\u8dcc\"
                  else:
                      mood = \"\u26aa \u4e2d\u6027\"

                  print(\"\\n\ud83c\udf0d \u83b7\u53d6\u5168\u7403\u5e02\u573a\u60c5\u7eea\")
                  print(f\"\ud83d\udcca \u5e73\u5747\u60c5\u7eea\u5f97\u5206: {avg_score:.3f}\")
                  print(f\"\ud83d\udccc \u5168\u7403\u5e02\u573a\u60c5\u7eea: {mood}\")
                  print(\"\ud83d\udd52 \u6709\u6548\u671f: \u5f53\u65e5\u5168\u7403\u4ea4\u6613\u65f6\u6bb5\")
                  print(f\"\ud83d\udcf0 \u5206\u6790\u65b0\u95fb\u6570: {len(news)} | \ud83d\udc26 \u5206\u6790\u63a8\u6587\u6570: {len(tweets)}\")

              if __name__ == \"__main__\":
                  get_market_sentiment()<\/pre>\n\n\n\n
              2.4 \u8fd0\u884c\u6548\u679c<\/strong><\/h3>\n\n\n\n
              \u5728\u7ec8\u7aef\u8fd0\u884c\uff1a<\/p>\n\n\n\n
              python sentiment_bot.py<\/pre>\n\n\n\n
              \u4f60\u4f1a\u770b\u5230\u7c7b\u4f3c\u8fd9\u6837\u7684\u8f93\u51fa\uff1a<\/p>\n\n\n\n
              \ud83c\udf0d \u83b7\u53d6\u5168\u7403\u5e02\u573a\u60c5\u7eea\n\n\ud83d\udcca \u5e73\u5747\u60c5\u7eea\u5f97\u5206: 0.234\n\ud83d\udccc \u5168\u7403\u5e02\u573a\u60c5\u7eea: \ud83d\udfe2 \u770b\u6da8\n\ud83d\udd52 \u6709\u6548\u671f: \u5f53\u65e5\u5168\u7403\u4ea4\u6613\u65f6\u6bb5\n\ud83d\udcf0 \u5206\u6790\u65b0\u95fb\u6570:28 | \ud83d\udc26 \u5206\u6790\u63a8\u6587\u6570:47<\/pre>\n\n\n\n
              \u51e0\u79d2\u949f\u5185\uff0c\u6211\u5c31\u77e5\u9053\u5e02\u573a\u6574\u4f53\u504f\u5411\u770b\u6da8\u3002\u5982\u679c\u6211\u7684\u56fe\u8868\u663e\u793a\u7a81\u7834\u5f62\u6001\uff0c\u8fd9\u5c31\u589e\u52a0\u4e86\u4ea4\u6613\u4fe1\u5fc3\u3002<\/p>\n\n\n\n
              \u4e09\u3001\u5b9e\u6218\u5e94\u7528\u6307\u5357<\/strong><\/h2>\n\n\n\n
              \u6839\u636e\u4e0d\u540c\u7684\u4ea4\u6613\u98ce\u683c\uff0c\u53ef\u4ee5\u8fd9\u6837\u4f7f\u7528\u8fd9\u4e2a\u5de5\u5177\uff1a<\/p>\n\n\n\n
              \u4ea4\u6613\u98ce\u683c<\/th>\u4f7f\u7528\u5efa\u8bae<\/th>\u60c5\u7eea\u9608\u503c<\/th><\/tr><\/thead>
              \u77ed\u7ebf\u4ea4\u6613<\/td>\u53ea\u5728\u770b\u6da8\u65f6\u4ea4\u6613\u7a81\u7834<\/td>> 0.05<\/td><\/tr>
              \u6ce2\u6bb5\u4ea4\u6613<\/td>\u8ddf\u968f\u6bcf\u5468\u60c5\u7eea\u8d8b\u52bf<\/td>\u6301\u7eed\u76d1\u63a7<\/td><\/tr>
              \u98ce\u9669\u7ba1\u7406<\/td>\u4e2d\u6027\u60c5\u7eea\u65f6\u51cf\u5c11\u4ed3\u4f4d<\/td>-0.05 \u5230 0.05<\/td><\/tr>
              \u53cd\u5411\u4ea4\u6613<\/td>\u6781\u7aef\u60c5\u7eea\u65f6\u53cd\u5411\u64cd\u4f5c<\/td>> 0.9 \u6216 < -0.9<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
              \ud83d\ude80 \u8fdb\u9636\u73a9\u6cd5<\/strong><\/h3>\n\n\n\n
              \u8fd9\u53ea\u662f\u4e2a\u5f00\u59cb\uff0c\u4f60\u8fd8\u53ef\u4ee5\uff1a<\/p>\n\n\n\n