本地和远程上传的工作原理

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import requests
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import math
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from typing import List
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from tqdm import tqdm  # For progress bar
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def upload_file_in_chunks(file_path: str, upload_urls: list[str], content_type: str | None = None, chunk_size: int | None = None) -> bool:
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    """
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    Upload a file in chunks using presigned URLs.
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    """
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    try:
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        # Auto-detect content type based on file extension
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        if content_type is None:
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            detected_content_type, _ = mimetypes.guess_type(file_path)
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            content_type = detected_content_type # Default fallback
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        print(f"Detected content type: {content_type}")
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        # Get file size
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        with open(file_path, 'rb') as f:
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            f.seek(0, 2)  # Seek to end of file
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            file_size = f.tell()
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        # Calculate chunk size if not provided
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        if chunk_size is None:
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            chunk_size = math.ceil(file_size / len(upload_urls))
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        print(f"File size: {file_size} bytes")
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        print(f"Chunk size: {chunk_size} bytes")
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        print(f"Number of chunks: {len(upload_urls)}")
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        # Upload each chunk
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        with open(file_path, 'rb') as f:
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            with tqdm(total=len(upload_urls), desc="Uploading chunks") as pbar:
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                for i, url in enumerate(upload_urls):
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                    start_byte = i * chunk_size
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                    end_byte = min(start_byte + chunk_size, file_size)
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                    # Read chunk from file
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                    f.seek(start_byte)
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                    chunk = f.read(end_byte - start_byte)
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                    print(f"Uploading chunk {i+1}: {len(chunk)} bytes")
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                    # Upload chunk with minimal headers matching the signature
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                    response = requests.put(
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                        url,
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                        data=chunk,
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                        headers={
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                            'content-type': content_type,
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                            'x-amz-acl': 'private'
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                        }
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                    )
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                    if response.status_code != 200:
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                        print(f"Failed to upload chunk {i+1}. Status code: {response.status_code}")
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                        print(f"Response text: {response.text}")
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                        print(f"Response headers: {dict(response.headers)}")
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                        return False
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                    else:
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                        print(f"Chunk {i+1} uploaded successfully!")
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                    pbar.update(1)
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        return True
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    except Exception as e:
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        print(f"Error during upload: {str(e)}")
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        return False
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# Example usage
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if __name__ == "__main__":
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    # Replace these with your actual values
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    file_path = "/Users/MyComputer/local_upload/sample.jpg"  # Path to your file
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    upload_urls = [
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        "https://frameio-uploads-development.s3-accelerate.amazonaws.com/parts/fa18ba7b-b3ee-4dd6-9b31-bd07e554241d/part_1?...",
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        "https://frameio-uploads-development.s3-accelerate.amazonaws.com/parts/fa18ba7b-b3ee-4dd6-9b31-bd07e554241d/part_2?...",
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        "https://frameio-uploads-development.s3-accelerate.amazonaws.com/parts/fa18ba7b-b3ee-4dd6-9b31-bd07e554241d/part_3?..."
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    ]
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    content_type = "image/jpeg"
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    print("Starting file upload...")
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    success = upload_file_in_chunks(file_path, upload_urls, content_type)
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    if success:
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        print("File upload completed successfully!")
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    else:
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        print("File upload failed!")