tencent cloud

def ci_create_asr_job(self, Bucket, QueueId, InputObject, OutputBucket, OutputRegion, OutputObject, TemplateId=None,
                      SpeechRecognition=None, CallBack=None, CallBackFormat=None, CallBackType=None, CallBackMqConfig=None, **kwargs)

def ci_create_asr_jobs():
    # 创建语音识别异步任务(使用模板)
    response = client.ci_create_asr_job(
        Bucket=bucket_name,
        QueueId='s0980xxxxxxxxxxxxxxxxff12',
        TemplateId='t1ada6f282d29742dxxxxxxxxxxxxx',
        InputObject='normal.mp4',
        OutputBucket=bucket_name,
        OutputRegion='ap-chongqing',
        OutputObject='result.txt',
    )
    print(response)
    return response

def ci_create_asr_jobs():
    # 创建语音识别异步任务(使用参数)
    body = {
        'EngineModelType': '16k_zh',
        'ChannelNum': '1',
        'ResTextFormat': '1',
    }
    response = client.ci_create_asr_job(
        Bucket=bucket_name,
        QueueId='s0980xxxxxxxxxxxxxxxxff12',
        InputObject='normal.mp4',
        OutputBucket=bucket_name,
        OutputRegion='ap-chongqing',
        OutputObject='result.txt',
        SpeechRecognition=body
    )
    print(response)
    return response

{
    'JobsDetail': {
        'Code': 'Success', 
        'CreationTime': '2022-09-14T22:31:38+0800', 
        'EndTime': '-', 
        'Input': {'BucketId': 'test-12539xxxxx', 'Object': 'normal.mp4', 'Region': 'ap-chongqing'}, 
        'JobId': 'sf1398ed0343911eda6d733209028ff12', 
        'Message': None, 
        'Operation': {
            'JobLevel': '0', 
            'Output': {'Bucket': 'test-12539xxxxx', 'Object': 'result.txt', 'Region': 'ap-chongqing'}, 
            'TemplateId': 't1ada6f282d29742db83244e085exxxxxx', 
            'TemplateName': 'name'
        }, 
        'QueueId': 'p7369ebcf8f93414c8250c966xxxxxxxx', 
        'StartTime': '-', 
        'State': 'Submitted', 
        'Tag': 'SpeechRecognition'
    }
}


def ci_get_asr_job(self, Bucket, JobID, **kwargs):

def ci_get_asr_jobs():
    # 获取语音识别信息
    response = client.ci_get_asr_job(
        Bucket=bucket_name,
        JobID='s18a9xxxxxxxxxxxxxxxxxxxxff1aa',
    )
    print(response)
    return response

{
    'JobsDetail': [{
        'Code': 'Success', 
        'CreationTime': '2022-09-14T22:36:51+0800', 
        'EndTime': '2022-09-14T22:37:01+0800', 
        'Input': {'BucketId': 'testpic-1253960454', 'Object': 'gaobai.mp4', 'Region': 'ap-chongqing'}, 
        'JobId': 'sabfb88d6343a11ed8c375fe3d77ef1d7', 
        'Message': None, 
        'Operation': {
            'JobLevel': '0', 
            'Output': {'Bucket': 'testpic-1253960454', 'Object': 'result.txt', 'Region': 'ap-chongqing'}, 
            'SpeechRecognitionResult': {
                'AudioTime': '215.637', 
                'ObjectName': 'result.txt', 
                'Result': '[0:0.160,1:0.640]  测试测试\\n', 'ResultDetail': None
            }, 
            'TemplateId': 't1ada6f282d29742db83244e085e920b08', 
            'TemplateName': 'name'
        }, 
        'QueueId': 'p7369ebcf8f93414c8250c9663e1dff5a', 
        'StartTime': '2022-09-14T22:36:53+0800', 
        'State': 'Success', 
        'Tag': 'SpeechRecognition'
    }]
}

def ci_list_asr_jobs(self, Bucket, QueueId, StartCreationTime=None, EndCreationTime=None, OrderByTime='Desc', States='All', Size=10, NextToken='', **kwargs):


def ci_list_asr_jobs():
    # 获取语音识别任务信息列表
    response = client.ci_list_asr_jobs(
        Bucket=bucket_name,
        QueueId='p4bdxxxxxxxxxxxxxxxxxxxx57f1',
        Size=10,
    )
    print(response)
    return response

{
    'JobsDetail': [{
        'Code': 'Success', 
        'CreationTime': '2022-09-14T22:36:51+0800', 
        'EndTime': '2022-09-14T22:37:01+0800', 
        'Input': {'BucketId': 'test-125396xxxx', 'Object': 'gaobai.mp4', 'Region': 'ap-chongqing'}, 
        'JobId': 'sabfb88d6343a11ed8c375fe3dxxxxxxx', 
        'Message': None, 
        'Operation': {
            'JobLevel': '0', 
            'Output': {'Bucket': 'test-125396xxxx', 'Object': 'result.txt', 'Region': 'ap-chongqing'}, 
            'SpeechRecognitionResult': {
                'AudioTime': '215.637', 
                'ObjectName': 'result.txt', 
                'Result': '[0:0.160,1:0.640]  测试测试。\\n', 
                'ResultDetail': None
            }, 
            'TemplateId': 't1ada6f282d29742db83244e085xxxxxx', 
            'TemplateName': 'name'
        }, 
        'QueueId': 'p7369ebcf8f93414c8250c966xxxxxxx', 
        'StartTime': '2022-09-14T22:36:53+0800', 
        'State': 'Success', 
        'Tag': 'SpeechRecognition'
    }], 
    'NextToken': '15966'
}