Use o MPS SDK for Python V2.0 para enviar um job de snapshot e capturar quadros de vídeo em momentos específicos. Snapshots são amplamente utilizados para miniaturas de vídeo, sprites de imagem e pré-visualizações na barra de progresso.
Código de exemplo
O exemplo a seguir usa SubmitSnapshotJobRequest para capturar 10 snapshots a partir da marca de 5 segundos, com intervalos de 20 segundos, e salva a saída em um bucket do OSS.
import os
import sys
from typing import List
from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_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() -> Mts20140618Client:
"""
Use your AccessKey ID and AccessKey secret to initialize a client.
@return: Client
@throws Exception
"""
config = open_api_models.Config(
# Required. Make sure that the ALIBABA_CLOUD_ACCESS_KEY_ID environment variable is configured. ,
access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
# Required. Make sure that the ALIBABA_CLOUD_ACCESS_KEY_SECRET environment variable is configured. ,
access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
)
config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
return Mts20140618Client(config)
@staticmethod
def main(
args: List[str],
) -> None:
client = Sample.create_client()
submit_snapshot_job_request = mts_20140618_models.SubmitSnapshotJobRequest(
# The job input.
input='{"Bucket":"example-bucket","Location":"example-location","Object":"example%2Ftest.flv"}',
# The snapshot configuration.
snapshot_config='{"OutputFile":{"Bucket":"example-001","Location":"example-location","Object":"{Count}.jpg"},"Time":"5","Num":"10","Interval":"20"}',
# The user-defined data.
user_data='testid-001',
# The ID of the MPS queue.
pipeline_id='dd3dae411e704030b921e52698e5****'
)
runtime = util_models.RuntimeOptions()
try:
# Write your own code to display the response of the API operation if necessary.
client.submit_snapshot_job_with_options(submit_snapshot_job_request, runtime)
except Exception as error:
# Handle exceptions with caution in actual business scenarios and never ignore exceptions in your project. In this example, error messages are displayed for reference only.
# The error message.
print(error.message)
# The URL of the corresponding error diagnostics page.
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
@staticmethod
async def main_async(
args: List[str],
) -> None:
client = Sample.create_client()
submit_snapshot_job_request = mts_20140618_models.SubmitSnapshotJobRequest(
# The job input.
input='{"Bucket":"example-bucket","Location":"example-location","Object":"example%2Ftest.flv"}',
# The snapshot configuration.
snapshot_config='{"OutputFile":{"Bucket":"example-001","Location":"example-location","Object":"{Count}.jpg"},"Time":"5","Num":"10","Interval":"20"}',
# The user-defined data.
user_data='testid-001',
# The ID of the MPS queue.
pipeline_id='dd3dae411e704030b921e52698e5****'
)
runtime = util_models.RuntimeOptions()
try:
# Write your own code to display the response of the API operation if necessary.
await client.submit_snapshot_job_with_options_async(submit_snapshot_job_request, runtime)
except Exception as error:
# Handle exceptions with caution in actual business scenarios and never ignore exceptions in your project. In this example, error messages are displayed for reference only.
# The error message.
print(error.message)
# The URL of the corresponding error diagnostics page.
print(error.data.get("Recommend"))
UtilClient.assert_as_string(error.message)
if __name__ == '__main__':
Sample.main(sys.argv[1:])