Use Python to connect to Huawei Cloud interface to implement data storage and retrieval

Use Python to connect to Huawei Cloud interface to achieve data storage and retrieval

Huawei Cloud is a flexible and scalable cloud computing service platform provided by Huawei. It provides a large number of API interfaces to facilitate developers. Data storage and retrieval. This article will introduce how to use Python to connect to Huawei Cloud interface to implement data storage and retrieval functions.

First, we need to register and create an account on the Huawei Cloud official website. Then, we need to create a bucket in the Huawei Cloud Console to store our data.

Next, we need to install the Python SDK to connect to the Huawei Cloud interface. It can be installed through the pip command:

pip install obspy

After the installation is completed, we need to import the corresponding module in Python for Huawei Cloud connection and operation:

import boto3
from boto3.session import Session

In the code, we need to provide Huawei Cloud's Access Key ID and Secret Access Key. This information can be found in the Huawei Cloud Console. We can write this information in the code or obtain it through environment variables.

The following code example shows how to connect to Huawei Cloud and create a bucket:

def create_bucket(bucket_name):
    ak = 'your_access_key'
    sk = 'your_secret_key'
    session = Session(ak, sk)
    client = session.client('s3')
    client.create_bucket(Bucket=bucket_name)
    print('Bucket "%s" created successfully.' % bucket_name)

In the above code, we use Huawei Cloud's S3 API by calling client.create_bucket method to create a bucket. After the creation is successful, the corresponding prompt message will be printed.

Next, we can use the corresponding API to upload and download data. The following code example shows how to upload a file to a Huawei Cloud storage bucket:

def upload_file(bucket_name, local_file, remote_file):
    ak = 'your_access_key'
    sk = 'your_secret_key'
    session = Session(ak, sk)
    client = session.client('s3')
    client.upload_file(local_file, bucket_name, remote_file)
    print('File "%s" uploaded successfully.' % remote_file)

In the above code, we use the client.upload_file method to upload the file. Among them, local_file is the path of the local file, and remote_file is the file name in the Huawei Cloud storage bucket after uploading.

In addition to uploading files, we can also download files through the Huawei Cloud interface. The following code example shows how to download a file:

def download_file(bucket_name, remote_file, local_file):
    ak = 'your_access_key'
    sk = 'your_secret_key'
    session = Session(ak, sk)
    client = session.client('s3')
    client.download_file(bucket_name, remote_file, local_file)
    print('File "%s" downloaded successfully.' % remote_file)

In the above code, we have used the client.download_file method to download the file. Among them, remote_file is the file name in the Huawei Cloud storage bucket, and local_file is the file path saved locally after downloading.

In addition to uploading and downloading files, we can also use Huawei Cloud's interface to retrieve data. The following code example shows how to list all the files in the bucket:

def list_files(bucket_name):
    ak = 'your_access_key'
    sk = 'your_secret_key'
    session = Session(ak, sk)
    client = session.client('s3')
    response = client.list_objects(Bucket=bucket_name)
    for file in response['Contents']:
        print(file['Key'])

In the above code, we have used the client.list_objects method to list all the files in the bucket document. Traversing response['Contents'] can obtain information about each file, including file name, etc.

Through the above code examples, we can connect to the Huawei Cloud interface to implement data storage and retrieval functions. Of course, in addition to uploading and downloading files, Huawei Cloud also provides other rich interfaces to meet different needs. Developers can use different interfaces to complete corresponding operations according to their actual needs.

To summarize, using Python to connect to the Huawei Cloud interface to achieve data storage and retrieval is very simple and efficient. Huawei Cloud's API provides powerful and flexible functions. Developers can flexibly call the interface according to their own needs to achieve personalized data operations. Through Huawei Cloud, we can easily store and retrieve data, providing convenience for business development.

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