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Python SDK調(diào)用示例

本文介紹人臉靜默活體檢測API的Python SDK調(diào)用示例。

SDK使用說明

如果需要其他語言的SDK示例代碼,您可以通過OpenAPI 開發(fā)者門戶在線調(diào)試工具調(diào)試API接口,該工具會自動生成相應API的SDK調(diào)用示例代碼。您可以單擊以下接口鏈接進行調(diào)試:

調(diào)試LivenessFaceVerify接口。

前提條件

  • 需要使用的Python為3.0及以上版本。

  • 已添加認證場景,并獲取對應的場景ID。具體操作,請參見添加認證場景。

引入依賴包

pip install alibabacloud_tea_openapi==0.2.5
pip install alibabacloud_credentials==0.3.2

安裝SDK

關于Python SDK源代碼,請參見Python SDK包。

pip install alibabacloud_cloudauth20190307==2.0.3

調(diào)用示例

LivenessFaceVerify接口調(diào)用示例

關于參數(shù)的具體描述,請參見LivenessFaceVerify

from alibabacloud_cloudauth20190307.client import Client as CloudauthClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_cloudauth20190307 import models as cloudauth_models
from alibabacloud_tea_util.client import Client as UtilClient
from alibabacloud_tea_util import models as util_models
from alibabacloud_credentials.client import Client as CredClient

class LivenessFaceVerify:
    def __init__(self):
        pass

    @staticmethod
    def create_client(
            endpoint: str,
    ) -> CloudauthClient:
        # 阿里云賬號AccessKey擁有所有API的訪問權限,建議您使用RAM用戶進行API訪問或日常運維。
        # 強烈建議不要把AccessKey ID和AccessKey Secret保存到工程代碼里,否則可能導致AccessKey泄露,威脅您賬號下所有資源的安全。
        # 本示例通過阿里云Credentials工具從環(huán)境變量中讀取AccessKey,來實現(xiàn)API訪問的身份驗證。如何配置環(huán)境變量,請參見 http://bestwisewords.com/zh/sdk/developer-reference/configure-credentials。
        cred=CredClient()
        config = open_api_models.Config(
            credential=cred,
            # 設置HTTP代理。
            # http_proxy='http://xx.xx.xx.xx:xxxx',
            # 設置HTTPS代理。
            # https_proxy='https://username:password@xxx.xxx.xxx.xxx:9999',
            endpoint=endpoint
        )
        return CloudauthClient(config)

    @staticmethod
    def main() -> None:
        request = cloudauth_models.LivenessFaceVerifyRequest(
            # 請輸入場景ID。
            scene_id=0,
            outer_order_no='商戶請求的唯一標識',
            # 固定值。
            product_code='LR_FR_MIN',
            model='FRONT_CAMERA_LIVENESS',
            # ip='用戶IP地址',
            # user_id='用戶ID',
            # mobile='130xxxxxxxx',
            # device_token='通過設備指紋獲取的deviceToken',

            # 請在以下四種方式中選擇其一。
            # 1.照片Base64編碼。
            # 2.照片OSS Bucket名和文件名。
            # 3.照片OSS的URL地址。

            # 方式一:照片Base64。
            # face_contrast_picture='人臉照片Base64編碼'
            # 方式二:照片OSS Bucket名和文件名。
            # oss_bucket_name='cn-shanghai-aliyun-cloudauth-xxxxx',
            # oss_object_name='verify/xxxxx/xxxxxx.jpeg',
            # 方式三:照片OSS的URL地址,公網(wǎng)可訪問。
            face_contrast_picture_url='https://cn-shanghai-aliyun-cloudauth-xxxxxx.oss-cn-shanghai.aliyuncs.com/verify/xxxxx/xxxxx.jpeg'
        )
        response = LivenessFaceVerify.liveness_face_verify_auto_route(request)
        # 不支持服務自動路由。
        # response = LivenessFaceVerify.liveness_face_verify('cloudauth.cn-shanghai.aliyuncs.com', request)
        print(response.body.request_id)
        print(response.body.code)
        print(response.body.message)
        print(response.body.result_object.passed)
        print(response.body.result_object.sub_code)
        print(response.body.result_object.material_info)
        print(response.body.result_object.certify_id)

    @staticmethod
    def liveness_face_verify_auto_route(
            request: cloudauth_models.LivenessFaceVerifyRequest,
    ) -> cloudauth_models.LivenessFaceVerifyResponse:
        endpoints = [
            'cloudauth.cn-shanghai.aliyuncs.com',
            'cloudauth.cn-beijing.aliyuncs.com'
        ]
        for endpoint in endpoints:
            try:
                response = LivenessFaceVerify.liveness_face_verify(endpoint, request)
                if UtilClient.equal_number(500, response.status_code):
                    continue
                if response is not None and response.body is not None:
                    if UtilClient.equal_string("500", response.body.code):
                        continue
                return response
            except Exception as err:
                continue
        return None

    @staticmethod
    def liveness_face_verify(
            endpoint: str,
            request: cloudauth_models.LivenessFaceVerifyRequest,
    ) -> cloudauth_models.LivenessFaceVerifyResponse:
        client = LivenessFaceVerify.create_client(endpoint)
        # 創(chuàng)建RuntimeObject實例并設置運行參數(shù)。
        runtime = util_models.RuntimeOptions()
        runtime.read_timeout = 10000
        runtime.connect_timeout = 10000
        return client.liveness_face_verify_with_options(request, runtime)


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