prompts.txt

import os import boto3 from dotenv import load_dotenv  # 加载.env文件中的环境变量 load_dotenv()  ACCOUNT_ID = os.getenv("S3_ACCOUNT_ID") ACCESS_KEY = os.getenv("S3_ACCESS_KEY") SECRET_KEY = os.getenv("S3_SECRET_KEY") BUCKET     = "scrapydocs"  s3 = boto3.client(     "s3",     endpoint_url=f"https://75f5ed467c14e39214f3a6f2a169f3d0.r2.cloudflarestorage.com/scrapydocs",     aws_access_key_id=ACCESS_KEY,     aws_secret_access_key=SECRET_KEY,     region_name="auto", )  def upload_folder_contents(folder_path, bucket, prefix=""):     try:         file_count = 0         for root, _, files in os.walk(folder_path):             for file in files:                 full_path = os.path.join(root, file)                 key = f"{prefix}/{file}" if prefix else file                 try:                     s3.upload_file(full_path, bucket, key)                     print(f"✔ Successfully uploaded {key}")                     file_count += 1                 except Exception as e:                     print(f"✖ Failed to upload {key}: {str(e)}")                  print(f"\nUpload complete. Total files processed: {file_count}")         return file_count     except Exception as e:         print(f"✖ Fatal error: {str(e)}")         return 0  if __name__ == "__main__":     print("Starting S3 upload process...")     folder_path = "D:/app/JupyterLab/crawl4ai/output/docs_scrapy"          if not os.path.exists(folder_path):         print(f"✖ Error: Folder not found at {folder_path}")     else:         print(f"Testing connection to {s3.meta.endpoint_url}")         print(s3.list_buckets())  # 这会验证你的凭证是否有效         upload_folder_contents(folder_path, BUCKET)     print("Process completed.")
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