Object Storage Service:Multipart upload

import os
import argparse
import base64
import alibabacloud_oss_v2 as oss

# Create a command-line argument parser for the multipart upload sample.
parser = argparse.ArgumentParser(description="multipart upload sample")

# The required --region parameter, which specifies the region in which the bucket is located.
parser.add_argument('--region', help='The region in which the bucket is located.', required=True)

# The required --bucket parameter, which specifies the name of the bucket. 
parser.add_argument('--bucket', help='The name of the bucket.', required=True)

# The optional --endpoint parameter, which specifies the endpoint that other services can use to access OSS. 
parser.add_argument('--endpoint', help='The domain names that other services can use to access OSS')

# The required --key parameter, which specifies the name of the object. 
parser.add_argument('--key', help='The name of the object.', required=True)

# The required --file_path parameter, which specifies the path of the file to upload.
parser.add_argument('--file_path', help='The path of Upload file.', required=True)

def main():
    # Parse the command line parameters.
    args = parser.parse_args()

    # Obtain access credentials from environment variables for authentication.
    credentials_provider = oss.credentials.EnvironmentVariableCredentialsProvider()

    # Use the default configurations of the SDK and set the credentials provider.
    cfg = oss.config.load_default()
    cfg.credentials_provider = credentials_provider

    # Specify the region in which the bucket is located.
    cfg.region = args.region

    # Specify the endpoint if one is provided.
    if args.endpoint is not None:
        cfg.endpoint = args.endpoint

    # Use the configuration to create an OSSClient instance.
    client = oss.Client(cfg)

    # Initiate a multipart upload and get the upload ID.
    result = client.initiate_multipart_upload(oss.InitiateMultipartUploadRequest(
        bucket=args.bucket,
        key=args.key,
    ))

    # Define the size of each part as 1MB.
    part_size = 1 * 1024 * 1024

    # Obtain the total size of the file to upload.
    data_size = os.path.getsize(args.file_path)

    # Initialize the part number, starting from 1.
    part_number = 1

    # Store the results of each part upload.
    upload_parts = []

    # Open the file in binary mode for reading.
    with open(args.file_path, 'rb') as f:
        # Traverse the file and upload it in parts based on part_size.
        for start in range(0, data_size, part_size):
            n = part_size
            if start + n > data_size:  # Handle the case where the last part may be smaller than part_size.
                n = data_size - start

            # Create a SectionReader to read a specific portion of the file.
            reader = oss.io_utils.SectionReader(oss.io_utils.ReadAtReader(f), start, n)

            # Upload parts.
            up_result = client.upload_part(oss.UploadPartRequest(
                bucket=args.bucket,
                key=args.key,
                upload_id=result.upload_id,
                part_number=part_number,
                body=reader
            ))

            # Output the result information for each part upload.
            print(f'status code: {up_result.status_code},'
                  f' request id: {up_result.request_id},'
                  f' part number: {part_number},'
                  f' content md5: {up_result.content_md5},'
                  f' etag: {up_result.etag},'
                  f' hash crc64: {up_result.hash_crc64},'
                  )

            # Save the part upload result to the list.
            upload_parts.append(oss.UploadPart(part_number=part_number, etag=up_result.etag))

            # Increment the part number.
            part_number += 1

    # Sort the uploaded parts by part number.
    parts = sorted(upload_parts, key=lambda p: p.part_number)

    # Define the callback URL.
    call_back_url = "http://www.example.com/callback"
    # Construct callback parameters: specify the callback URL and request body, encoded in Base64.
    callback=base64.b64encode(str('{\"callbackUrl\":\"' + call_back_url + '\",\"callbackBody\":\"bucket=${bucket}&object=${object}&my_var_1=${x:var1}&my_var_2=${x:var2}\"}').encode()).decode()
    # Construct custom variables using Base64 encoding
    callback_var=base64.b64encode('{\"x:var1\":\"value1\",\"x:var2\":\"value2\"}'.encode()).decode()

    # Send a request to complete the multipart upload and combine all parts into a complete object.
    result = client.complete_multipart_upload(oss.CompleteMultipartUploadRequest(
        bucket=args.bucket,
        key=args.key,
        upload_id=result.upload_id,
        complete_multipart_upload=oss.CompleteMultipartUpload(
            parts=parts
        ),
        callback=callback,
        callback_var=callback_var
    ))

    # The following code is another approach that uses the server-side list method to merge all part data into a complete object.
    # This method is suitable when you are not sure if all parts have been successfully uploaded.
    # Merge fragmented data into a complete Object through the server-side List method
    # result = client.complete_multipart_upload(oss.CompleteMultipartUploadRequest(
    #     bucket=args.bucket,
    #     key=args.key,
    #     upload_id=result.upload_id,
    #     complete_all='yes'
    # ))

    # Output the result information of the completed multipart upload.
    print(f'status code: {result.status_code},'
          f' request id: {result.request_id},'
          f' bucket: {result.bucket},'
          f' key: {result.key},'
          f' location: {result.location},'
          f' etag: {result.etag},'
          f' encoding type: {result.encoding_type},'
          f' hash crc64: {result.hash_crc64},'
          f' version id: {result.version_id},'
    )

if __name__ == "__main__":
    main()  # The entry point of the script. When the script is directly run, the main function is called.

import os
import argparse
import alibabacloud_oss_v2 as oss

# Create a command-line argument parser for the multipart upload sample.
parser = argparse.ArgumentParser(description="multipart upload sample")

# The required --region parameter, which specifies the region in which the bucket is located.
parser.add_argument('--region', help='The region in which the bucket is located.', required=True)

# The required --bucket parameter, which specifies the name of the bucket. 
parser.add_argument('--bucket', help='The name of the bucket.', required=True)

# The optional --endpoint parameter, which specifies the endpoint that other services can use to access OSS. 
parser.add_argument('--endpoint', help='The domain names that other services can use to access OSS')

# The required --key parameter, which specifies the name of the object. 
parser.add_argument('--key', help='The name of the object.', required=True)

# The required --file_path parameter, which specifies the path of the file to upload.
parser.add_argument('--file_path', help='The path of Upload file.', required=True)

def main():
    # Parse the command-line parameters.
    args = parser.parse_args()

    # Obtain access credentials from environment variables for authentication.
    credentials_provider = oss.credentials.EnvironmentVariableCredentialsProvider()

    # Use the default configurations of the SDK and set the credentials provider.
    cfg = oss.config.load_default()
    cfg.credentials_provider = credentials_provider

    # Specify the region in which the bucket is located.
    cfg.region = args.region

    # If the endpoint parameter is provided, specify the endpoint.
    if args.endpoint is not None:
        cfg.endpoint = args.endpoint

    # Use the configurations to create an OSSClient instance.
    client = oss.Client(cfg)

    # Define a dictionary variable progress_state to store the upload progress status, with an initial value of 0.
    progress_state = {'saved': 0}
    def _progress_fn(n, written, total):
        # Use a dictionary to store the accumulated written bytes, avoiding the use of global variables.
        progress_state['saved'] += n

        # Calculate the current upload percentage by dividing the written bytes by the total bytes and rounding.
        rate = int(100 * (float(written) / float(total)))

        # Print the current upload progress, \r means return to the beginning of the line, achieving real-time refresh effect in the command line.
        # end='' means no line break, allowing the next print to overwrite the current line.
        print(f'\rUpload progress: {rate}% ', end='')

    # Initiate a multipart upload and get the upload ID.
    result = client.initiate_multipart_upload(oss.InitiateMultipartUploadRequest(
        bucket=args.bucket,
        key=args.key,
    ))

    # Define the size of each part as 5MB.
    part_size = 5 * 1024 * 1024

    # Obtain the total size of the file to upload.
    data_size = os.path.getsize(args.file_path)

    # Initialize the part number, starting from 1.
    part_number = 1

    # Store the results of each part upload.
    upload_parts = []

    # Open the file in binary mode for reading.
    with open(args.file_path, 'rb') as f:
        # Traverse the file and upload it in parts based on part_size.
        for start in range(0, data_size, part_size):
            n = part_size
            if start + n > data_size:  # Handle the case where the last part may be smaller than part_size.
                n = data_size - start

            # Create a SectionReader to read a specific portion of the file.
            reader = oss.io_utils.SectionReader(oss.io_utils.ReadAtReader(f), start, n)

            # Upload parts.
            up_result = client.upload_part(oss.UploadPartRequest(
                bucket=args.bucket,
                key=args.key,
                upload_id=result.upload_id,
                part_number=part_number,
                body=reader,
                progress_fn=_progress_fn
            ))

            # Output the result of each part upload.
            print(f'status code: {up_result.status_code},'
                  f' request id: {up_result.request_id},'
                  f' part number: {part_number},'
                  f' content md5: {up_result.content_md5},'
                  f' etag: {up_result.etag},'
                  f' hash crc64: {up_result.hash_crc64},'
                  )

            # Save the part upload result to the list.
            upload_parts.append(oss.UploadPart(part_number=part_number, etag=up_result.etag))

            # Increment the part number.
            part_number += 1

    # Sort the uploaded parts by part number.
    parts = sorted(upload_parts, key=lambda p: p.part_number)

    # Send a request to complete the multipart upload and combine all parts into a complete object.
    result = client.complete_multipart_upload(oss.CompleteMultipartUploadRequest(
        bucket=args.bucket,
        key=args.key,
        upload_id=result.upload_id,
        complete_multipart_upload=oss.CompleteMultipartUpload(
            parts=parts
        )
    ))

    # The following code is another approach that uses the server-side list method to merge all part data into a complete object.
    # This method is suitable when you are not sure if all parts have been successfully uploaded.
    # Merge fragmented data into a complete Object through the server-side List method
    # result = client.complete_multipart_upload(oss.CompleteMultipartUploadRequest(
    #     bucket=args.bucket,
    #     key=args.key,
    #     upload_id=result.upload_id,
    #     complete_all='yes'
    # ))

    # Output the result information of the completed multipart upload.
    print(f'status code: {result.status_code},'
          f' request id: {result.request_id},'
          f' bucket: {result.bucket},'
          f' key: {result.key},'
          f' location: {result.location},'
          f' etag: {result.etag},'
          f' encoding type: {result.encoding_type},'
          f' hash crc64: {result.hash_crc64},'
          f' version id: {result.version_id},'
    )

if __name__ == "__main__":
    main()  # The entry point of the script. When the script is directly run, the main function is called.