Python connects to Alibaba Cloud interface to realize real-time video analysis and intelligent recommendation functions

Python connects to the Alibaba Cloud interface to implement real-time video analysis and intelligent recommendation functions

Alibaba Cloud is a world-leading cloud computing service provider that provides a wealth of data processing and analysis services. Using the interface provided by Alibaba Cloud, we can use Python to write programs to implement real-time video analysis and intelligent recommendation functions. This article will introduce how to connect to the Alibaba Cloud interface through Python, and demonstrate the implementation process with code examples.

First, we need to create an Access Key on the Alibaba Cloud console and activate the video intelligent analysis and recommendation service. After obtaining the Access Key, we can use the Python third-party library alibabacloud-python-sdk-core to connect to the Alibaba Cloud interface. Before starting, make sure you have installed the alibabacloud-python-sdk-core library.

The following is a code example for connecting to the Alibaba Cloud interface:

from alibabacloud_vod_20180724.client import Client as Vod20180724Client
from alibabacloud_vod_20180510.client import Client as Vod20180510Client
from alibabacloud_vod_20170321.client import Client as Vod20170321Client
from alibabacloud_teahouse20180202.client import Client as Teahouse20180202Client
from alibabacloud_vod_20190109.client import Client as Vod20190109Client
from alibabacloud_cdn20141111.client import Client as Cdn20141111Client
from alibabacloud_dataworks_public_20200518.client import Client as Dataworks_public_20200518Client
from alibabacloud_oss20190601.client import Client as Oss20190601Client
from alibabacloud_vod_20170321.models import SubmitAIJobRequest
from alibabacloud_credentials.models import AccessKeyCredential
from alibabacloud_credentials.models import BearerTokenCredential
from alibabacloud_credentials.models import EcsRamRoleCredential

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class StorageInfo:
    def __init__(self, accessKeyId=None, secretAccessKey=None):
        self.access_key_id = accessKeyId
        self.secret_access_key = secretAccessKey


class VODClient:
    def __init__(self, storageInfo=None):
        if storageInfo:
            self.default_client = AcsClient(storageInfo.access_key_id, storageInfo.secret_access_key, REGION)
        else:
            self.default_client = DefaultAcsClient(REGION, True)

    def submit_ai_job(self, **kwargs):
        request = SubmitAIJobRequest.SubmitAIJobRequest()
        request.set_accept_format('json')

        #设置请求参数
        for key, value in kwargs.items():
            request.add_query_param(key, value)

        # 发起请求
        response = self.default_client.do_action(request)
        return json.loads(response.decode("utf-8"))

The above code mainly imports the alibabacloud-python-sdk-core library and defines a class named VODClient for connection Alibaba Cloud's video on demand service. The submit_ai_job method is used to submit artificial intelligence job tasks. When calling the submit_ai_job method, you need to pass some parameters to implement different tasks.

The following is an example of using VODClient for intelligent video analysis:

from alibabacloud_alisecur_actiontrail_20190228.client import Client as AlisecurActiontrail20190228Client
from alibabacloud_ams_mes_20190815.client import Client as AmsMes20190815Client
from alibabacloud_oss20190601.client import Client as Oss20190601Client
from alibabacloud_teahouse20180202.client import Client as Teahouse20180202Client
from alibabacloud_alisecur_common_20191226.client import Client as AlisecurCommon20191226Client
from alibabacloud_alisecur_detect_20181012.client import Client as AlisecurDetect20181012Client
from alibabacloud_teahouse20160907.client import Client as Teahouse20160907Client
from alibabacloud_alisecur_firewall_20180816.client import Client as AlisecurFirewall20180816Client
from alibabacloud_alisecur_common_20191226.models import SetAccountRequest
from alibabacloud_alisecur_firewall_20180816.models import SetDomainRequest
from alibabacloud_credentials.models import AccessKeyCredential
from alibabacloud_credentials.models import BearerTokenCredential
from alibabacloud_credentials.models import EcsRamRoleCredential
from vod_client import *


def main(storage_info):
    access_key_id = storage_info.access_key_id
    secret_access_key = storage_info.secret_access_key

    vod_client = VODClient(StorageInfo(access_key_id, secret_access_key))

    # 提交人工智能作业任务
    result = vod_client.submit_ai_job(Name='task1', Type='tag', MediaId='your_media_id')

    print(result)


if __name__ == "__main__":
    # 填写你的Access Key信息
    access_key_id = "<your-access-key-id>"
    secret_access_key = "<your-secret-access-key>"

    storage_info = StorageInfo(access_key_id, secret_access_key)
    main(storage_info)

In the above example, we instantiate VODClient and pass in the Access Key information. When calling the submit_ai_job method, we provide the parameters Name, Type and MediaId, which represent the task name, task type and video ID respectively. After calling the submit_ai_job method, the returned result is a string in JSON format, which we can parse to obtain relevant information.

In addition to intelligent video analysis, Alibaba Cloud also provides intelligent recommendation services, which can recommend relevant content to users based on their behavior and preferences. The following is an example of using Alibaba Cloud's intelligent recommendation service:

from alibabacloud_teahouse20160907.client import Client as Teahouse20160907Client
from alibabacloud_teahouse20160907.models import GetUserRecommendationRequest
from alibabacloud_credentials.models import AccessKeyCredential
from alibabacloud_credentials.models import BearerTokenCredential
from alibabacloud_credentials.models import EcsRamRoleCredential

def main(access_key_id, secret_access_key):
    tea_house_client = Teahouse20160907Client(AccessKeyCredential(accessKeyId=access_key_id, secretAccessKey=secret_access_key))

    # 获取推荐
    request = GetUserRecommendationRequest.GetUserRecommendationRequest()
    request.set_accept_format('json')
    request.set_UserId('your-user-id')
    request.set_ItemKey("movie")

    response = tea_house_client.do_action_with_exception(request)
    print(response)

if __name__ == "__main__":
    access_key_id = "<your-access-key-id>"
    secret_access_key = "<your-secret-access-key>"
    main(access_key_id, secret_access_key)

In the above example, we instantiated a class named Teahouse20160907Client to connect to Alibaba Cloud's intelligent recommendation service. When calling the GetUserRecommendationRequest method, we need to pass the parameters UserId and ItemKey, which represent the user ID and recommended content type respectively. The response is a string in JSON format, which we can parse to obtain recommended results.

Through the above code examples, we can use Python to connect to the Alibaba Cloud interface to implement real-time video analysis and intelligent recommendation functions. According to specific needs, we can call different interfaces and methods to achieve more functions. The cloud computing services provided by Alibaba Cloud provide developers with powerful tools to help us better process and analyze data and improve the intelligence level of products. Let's use the powerful functions of Python and Alibaba Cloud to create more possibilities!

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