Intelligent Media Management:Recuperação semântica

{
    "ProjectName": "test-project",
    "DatasetName": "test-dataset",
    "Query": "Pandas in Chengdu in July 2020"
}

{
    "RequestId": "645FB6D9-5EA0-02C9-B253-****",
    "Files": [
        {
            "ProduceTime": "2020-07-19T17:11:11+08:00",
            "ObjectACL": "default",
            "ContentType": "image/jpeg",
            "ProjectName": "test-project",
            "Size": 22868,
            "URI": "oss://test-bucket/test-object.jpg",
            "Addresses": [
                {
                    "Language": "zh-Hans",
                    "Township": "Sanhe Sub-district",
                    "AddressLine": "Chengdu Research Base of Giant Panda Breeding, Sanhe Sub-district, Xindu District, Chengdu City, Sichuan Province",
                    "Country": "China",
                    "City": "Chengdu",
                    "District": "Xindu District",
                    "Province": "Sichuan Province"
                }
            ],
            "ObjectType": "file",
            "OwnerId": "****",
            "FileModifiedTime": "2021-05-13T10:22:44+08:00",
            "ImageWidth": 270,
            "OSSStorageClass": "Standard",
            "MediaType": "image",
            "ObjectId": "****",
            "CreateTime": "2022-07-06T07:10:18.497753661+08:00",
            "Filename": "1.jpg",
            "Labels": [
                {
                    "CentricScore": 0.757,
                    "Language": "zh-Hans",
                    "LabelConfidence": 0.946,
                    "LabelName": "Panda",
                    "LabelLevel": 2,
                    "ParentLabelName": "Wildlife"
                },
                ...
            ],
            "Orientation": 1,
            "EXIF": "...",
            "ContentMd5": "HZwoCnxPZ/fvhz4oRJ****",
            "ImageHeight": 270,
            "ImageScore": {
                "OverallQualityScore": 0.719
            },
            "ETag": "\"1D9C280A7C4F67F7EF873E28449D****\"",
            "DatasetName": "test-dataset",
            "FileHash": "\"1D9C280A7C4F67F7EF873E2****\"",
            "UpdateTime": "2022-07-06T07:10:18.497753661+08:00",
            "OSSCRC64": "5634447745650079669",
            "OSSTaggingCount": 0,
            "LatLong": "34.000000,119.000000",
            "OSSObjectType": "Normal"
        }
    ]
}

# -*- coding: utf-8 -*-

import os
from alibabacloud_imm20200930.client import Client as imm20200930Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_imm20200930 import models as imm_20200930_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient

class Sample:
    def __init__(self):
        pass

    @staticmethod
    def create_client(
        access_key_id: str,
        access_key_secret: str,
    ) -> imm20200930Client:
        """
        Use your AccessKey ID and AccessKey secret to initialize the client. 
        @param access_key_id:
        @param access_key_secret:
        @return: Client
        @throws Exception
        """
        config = open_api_models.Config(
            access_key_id=access_key_id,
            access_key_secret=access_key_secret
        )
        config.endpoint = f'imm.cn-beijing.aliyuncs.com'
        return imm20200930Client(config)

    @staticmethod
    def main() -> None:
        # The AccessKey pair of an Alibaba Cloud account has permissions on all API operations. To prevent security risks, we recommend that you call API operations or perform routine O&M as a RAM user. 
        # We recommend that you do not include your AccessKey pair (AccessKey ID and AccessKey secret) in your project code. Otherwise, the AccessKey pair may be leaked and the security of all the resources within your account may be compromised. 
        # In this example, the AccessKey pair is read from the environment variables to implement identity verification for API access. For information about how to configure environment variables, visit https://www.alibabacloud.com/help/document_detail/2361894.html. 
        imm_access_key_id = os.getenv("AccessKeyId")
        imm_access_key_secret = os.getenv("AccessKeySecret")
        client = Sample.create_client(imm_access_key_id, imm_access_key_secret)
        semantic_query_request = imm_20200930_models.SemanticQueryRequest(
            query='Pandas in Chengdu in July 2020',
            project_name='test-project',
            dataset_name='test-dataset',
            max_results=100
        )
        runtime = util_models.RuntimeOptions()
        try:
            # Print the response of the API operation. 
            response = client.semantic_query_with_options(semantic_query_request, runtime)
            print(response.body.to_map())
        except Exception as error:
            # Print the error message if necessary. 
            UtilClient.assert_as_string(error.message)
            print(error)

if __name__ == '__main__':
    Sample.main()

{
    "ProjectName": "test-project",
    "DatasetName": "test-dataset",
    "MediaTypes": ["document"],  
    "Query": "IT service process"
}

{
  "RequestId": "CD870E69-D2E8-031B-BD3E-****",
  "Files": [
    {
      "ObjectACL": "default",
      "ContentType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
      "ProjectName": "test-project",
      "ObjectId": "2f66ba6e902e5ad42341a9e7365b19f6130d4a077e4f57150450e281d0b7afd9",
      "Size": 28340,
      "CreateTime": "2024-03-08T10:13:19.569053164+08:00",
      "Filename": "3839a9a0-c630-420d-ae69-ea24792412fd.docx",
      "URI": "oss://test-bucket/test-object.docx",
      "ObjectType": "file",
      "ContentMd5": "Y7SmYa831Hq1qryuRyl6mg==",
      "OwnerId": "****",
      "FileModifiedTime": "2024-01-10T16:18:31+08:00",
      "ETag": "\"63B4A661AF37D47AB5AABCAE47297A9A\"",
      "DatasetName": "test-dataset",
      "FileHash": "63B4A661AF37D47AB5AABCAE47297A9A",
      "UpdateTime": "2024-03-08T10:13:19.569053164+08:00",
      "OSSStorageClass": "Standard",
      "MediaType": "document",
      "OSSCRC64": "6833019149643646551",
      "OSSTaggingCount": 0,
      "OSSObjectType": "Normal"
    }
  ]
}

# -*- coding: utf-8 -*-

import os
from alibabacloud_imm20200930.client import Client as imm20200930Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_imm20200930 import models as imm_20200930_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient

class Sample:
    def __init__(self):
        pass

    @staticmethod
    def create_client(
        access_key_id: str,
        access_key_secret: str,
    ) -> imm20200930Client:
        """
        Initializes a client using an AccessKey ID and an AccessKey Secret.
        @param access_key_id:
        @param access_key_secret:
        @return: Client
        @throws Exception
        """
        config = open_api_models.Config(
            access_key_id=access_key_id,
            access_key_secret=access_key_secret
        )
        config.endpoint = f'imm.cn-beijing.aliyuncs.com'
        return imm20200930Client(config)

    @staticmethod
    def main() -> None:
        # We recommend using a RAM user for API calls and routine O&M, as this is more secure. An AccessKey pair from an Alibaba Cloud account grants full permissions on all API operations.
        # To prevent security risks, do not hard-code the AccessKey ID and AccessKey Secret in your code. We recommend that you obtain the AccessKey pair from environment variables.
        # In this example, the AccessKey pair is obtained from environment variables. For more information about how to configure environment variables, see https://www.alibabacloud.com/help/document_detail/2361894.html.
        imm_access_key_id = os.getenv("AccessKeyId")
        imm_access_key_secret = os.getenv("AccessKeySecret")
        client = Sample.create_client(imm_access_key_id, imm_access_key_secret)
        semantic_query_request = imm_20200930_models.SemanticQueryRequest(
            query='IT service process',
            project_name='test-project',
            dataset_name='test-dataset',
          	media_types=['document'],
            max_results=100
        )
        runtime = util_models.RuntimeOptions()
        try:
            # Prints the API response.
            response = client.semantic_query_with_options(semantic_query_request, runtime)
            print(response.body.to_map())
        except Exception as error:
            # Prints the error message if an exception is caught.
            UtilClient.assert_as_string(error.message)
            print(error)

if __name__ == '__main__':
    Sample.main()