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How to use list_transcription_jobs method in localstack

Best Python code snippet using localstack_python

aws_transcribe_info.py

Source:aws_transcribe_info.py

...129                    Status=module.params['status'],130                    JobNameContains=module.params['name_contains'],131                ), True132            else:133                return client.list_transcription_jobs(134                    Status=module.params['status'],135                    JobNameContains=module.params['name_contains'],136                ), False137        elif module.params['list_vocabulary_filters']:138            if client.can_paginate('list_vocabulary_filters'):139                paginator = client.get_paginator('list_vocabulary_filters')140                return paginator.paginate(), True141            else:142                return client.list_vocabulary_filters(), False143        else:144            return None, False145    except (BotoCoreError, ClientError) as e:146        module.fail_json_aws(e, msg='Failed to fetch Amazon Transcribe Service details')147def main():...

aws_transcriber.py

Source:aws_transcriber.py

...42            )43        print(f"Response: {response}")44    # return a list of transcription job names45    return [obj["Key"] for obj in response["Contents"] if pattern in obj["Key"]]46def list_transcription_jobs():47    """List all transcription jobs"""48    transcribe = boto3.client("transcribe")49    response = transcribe.list_transcription_jobs()50    return response["TranscriptionJobSummaries"]51# get the uri of the transcription job to download the transcription52def get_transcription_uri(job_name):53    """Get the uri of a transcription job"""54    transcribe = boto3.client("transcribe")55    response = transcribe.get_transcription_job(TranscriptionJobName=job_name)56    uri_json = response["TranscriptionJob"]["Transcript"]["TranscriptFileUri"]57    return uri_json58# download the transcription using requests59def download_transcription(uri_json, filename):60    """Download a transcription"""61    response = requests.get(uri_json, timeout=30)62    with open(filename, "w", encoding="utf-8") as f:63        f.write(response.text)64# read the transcription from from a file and return only the text65def read_transcription(filename):66    """Read a transcription"""67    with open(filename, "r", encoding="utf-8") as f:68        data = json.load(f)69    return data["results"]["transcripts"][0]["transcript"]70# write a function that takes a transcription job name, downloads the transcription, and returns the text71def get_transcription_text(job_name):72    """Get the text of a transcription"""73    uri_json = get_transcription_uri(job_name)74    # print(f"Downloading transcription from {uri_json}")75    filename = f"{job_name}.json"76    print(f"Saving transcription to {filename}")77    download_transcription(uri_json, filename)78    print(f"Transcription downloaded to {filename}")79    text = read_transcription(filename)80    # delete the file81    pathlib.Path(filename).unlink()82    return text83@click.group()84def cli():85    pass86@cli.command("transcribe")87@click.argument("bucket_name")88def transcribe_all(bucket_name):89    """Transcribe all files in a bucket90    Example: python aws_transcriber.py transcribe my-bucket91    """92    result = transcribe_all_files(bucket_name)93    print(f"Transcribed {len(result)} files")94@cli.command("list-jobs")95def list_jobs():96    """List all transcription jobs97    Example: python aws_transcriber.py list98    """99    result = list_transcription_jobs()100    print(f"Found {len(result)} jobs")101    for job in result:102        print(job["TranscriptionJobName"])103@cli.command("get-results")104@click.argument("job_name")105def get_results(job_name):106    """Get the results of a transcription job107    Example: python aws_transcriber.py get-results my-job108    """109    result = get_transcription_text(job_name)110    print(result)111@cli.command("summarize")112@click.argument("job_name")113def summarize(job_name):...

test_aws.py

Source:test_aws.py

...37import os38transcribe = boto3.client('transcribe')39job_uri_base = "s3://thesis-asr-testing-bucket/"40jobs = []41jobList = transcribe.list_transcription_jobs(MaxResults=100)42nextToken = jobList['NextToken']43jobs.append(jobList["TranscriptionJobSummaries"])44while len(nextToken) > 0 and nextToken != None:45    print(len(jobs))46    jobList = transcribe.list_transcription_jobs(NextToken=nextToken, MaxResults=100)47    jobs.append(jobList["TranscriptionJobSummaries"])48    try:49        nextToken = jobList['NextToken']50    except:51        break52# In[3]:53import requests54import json55from csv import writer56# Reads the transcriptions and saves them to a file for further processing57timit_labels = {}58with open('./timit.json', 'r') as t:59    timit_labels = json.load(t)60    ...

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