Object Storage Service:Processamento síncrono com OSS SDK for Python 2.0

Observações de uso

• O código de exemplo neste tópico usa o ID de região cn-hangzhou da região China (Hangzhou). Por padrão, o endpoint público é usado para acessar recursos em um bucket. Para acessar recursos no bucket a partir de outros serviços da Alibaba Cloud na mesma região em que o bucket está localizado, use um endpoint interno. Para mais informações sobre regiões e endpoints do OSS, consulte Regions and endpoints.

Definição do método

process_object(request: ProcessObjectRequest, **kwargs) → ProcessObjectResult

Parâmetros da requisição

Parâmetros de resposta

Para a definição completa do método, consulte process_object.

Código de exemplo

O código de exemplo a seguir redimensiona uma imagem e armazena a imagem redimensionada no bucket especificado usando o OSS SDK for Python V2:

import base64
import argparse
import alibabacloud_oss_v2 as oss

# Create a parser for parsing command-line arguments and describe the purpose of the script.
parser = argparse.ArgumentParser(description="process object sample")

# Specify command-line arguments, including the required region, source bucket name, endpoint, and source object name, style, destination object name, and destination bucket name.
parser.add_argument('--region', help='The region in which the bucket is located.', required=True)
parser.add_argument('--bucket', help='The name of the bucket.', required=True)
parser.add_argument('--endpoint', help='The domain names that other services can use to access OSS')
parser.add_argument('--key', help='The name of the object.', required=True)
parser.add_argument('--style', help='The style to apply for processing the object, such as image resizing.', required=True)
parser.add_argument('--target_image', help='Specify the name of the processed image.', required=True)
parser.add_argument('--target_bucket', help='Specify the name of the bucket used to store processed images.', required=True)

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

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

    # Use the default configuration to create a cfg object and specify the credential provider.
    cfg = oss.config.load_default()
    cfg.credentials_provider = credentials_provider

    # Set the region attribute of the cfg object to the region provided in the command line.
    cfg.region = args.region

    # If a custom endpoint is provided, update the endpoint attribute of the cfg object with the provided endpoint.
    if args.endpoint is not None:
        cfg.endpoint = args.endpoint

    # Use the preceding settings to initialize the OSSClient instance.
    client = oss.Client(cfg)

    # Get the style for processing objects.
    # The following sample style resizes an image: style = 'image/resize,m_fixed,w_100,h_100'
    style = args.style

    # Base64-encode the destination bucket name and object name to make them URL-safe.
    target_bucket_base64 = base64.b64encode(args.target_bucket.encode()).decode()
    target_key_base64 = base64.b64encode(args.target_image.encode()).decode()

    # Create a process instruction that includes the style and destination bucket name.
    process = f"{style}|sys/saveas,o_{target_key_base64},b_{target_bucket_base64}"

    # Send the request to process the object and store the resulting object in the destination bucket.
    result = client.process_object(oss.ProcessObjectRequest(
        bucket=args.bucket,  # The source bucket name.
        key=args.key,  # The source object name.
        process=process, # The processing instruction.
    ))

    # Display the status code and other result information to check the request status and result.
    print(f'status code: {result.status_code},'
          f' request id: {result.request_id},'
          f' bucket: {result.bucket},'
          f' file size: {result.file_size},'
          f' key: {result.key},'
          f' process status: {result.process_status},'
          )

# Call the main function to start the processing logic when the script is directly run.
if __name__ == "__main__":
    main()  # Specify the entry point of the script. The control flow starts here.

Cenários comuns

import base64
import argparse
import alibabacloud_oss_v2 as oss

# Create the parser for parsing command-line arguments and describe the purpose of the script.
parser = argparse.ArgumentParser(description="process object sample")

# Specify command-line arguments, including the required region, source bucket name, endpoint, and source object name, style, destination object name, and destination bucket name.
parser.add_argument('--region', help='The region in which the bucket is located.', required=True)
parser.add_argument('--bucket', help='The name of the bucket.', required=True)
parser.add_argument('--endpoint', help='The domain names that other services can use to access OSS')
parser.add_argument('--key', help='The name of the object.', required=True)
parser.add_argument('--target_image', help='Specify the name of the processed image.', required=True)
parser.add_argument('--target_bucket', help='Specify the name of the bucket used to store processed images.', required=True)

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

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

    # Use the default configuration to create a cfg object and specify the credential provider.
    cfg = oss.config.load_default()
    cfg.credentials_provider = credentials_provider

    # Set the region attribute of the cfg object to the region provided in the command line.
    cfg.region = args.region

    # If a custom endpoint is provided, update the endpoint attribute of the cfg object with the provided endpoint.
    if args.endpoint is not None:
        cfg.endpoint = args.endpoint

    # Use the preceding settings to initialize the OSSClient instance.
    client = oss.Client(cfg)

     # Specify the watermark content.
    content = "Copyrighted by Alibaba Cloud"

    # Generate the blind watermark.
    encoded_content = base64.urlsafe_b64encode(content.encode()).decode()

    style = f"image/blindwatermark,content_{encoded_content}"

    # Base64-encode the destination bucket name and object name to make them URL-safe.
    target_bucket_base64 = base64.b64encode(args.target_bucket.encode()).decode()
    target_key_base64 = base64.b64encode(args.target_image.encode()).decode()

    # Create a process instruction that includes the style and destination bucket name.
    process = f"{style}|sys/saveas,o_{target_key_base64},b_{target_bucket_base64}"

    # Send the request to process the object and store the resulting object in the destination bucket.
    result = client.process_object(oss.ProcessObjectRequest(
        bucket=args.bucket,  # The source bucket name.
        key=args.key,  # The source object name.
        process=process, # The processing instruction.
    ))

    # Display the status code and other result information to check the request status and result.
    print(f'status code: {result.status_code},'
          f' request id: {result.request_id},'
          f' bucket: {result.bucket},'
          f' file size: {result.file_size},'
          f' key: {result.key},'
          f' process status: {result.process_status},'
          )

# Call the main function to start the processing logic when the script is directly run.
if __name__ == "__main__":
    main()  # Specify the entry point of the script. The control flow starts here.

Referências

• IMG parameters

• Synchronous processing

• process_object.py