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How to use start_medical_transcription_job method in localstack

Best Python code snippet using localstack_python

test_transcribe_boto3.py

Source:test_transcribe_boto3.py

...15        "OutputBucketName": "my-output-bucket",16        "Specialty": "PRIMARYCARE",17        "Type": "CONVERSATION",18    }19    resp = client.start_medical_transcription_job(**args)20    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)21    # CREATED22    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)23    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)24    transcription_job = resp["MedicalTranscriptionJob"]25    transcription_job["MedicalTranscriptionJobName"].should.equal(26        args["MedicalTranscriptionJobName"]27    )28    transcription_job["TranscriptionJobStatus"].should.equal("QUEUED")29    transcription_job["LanguageCode"].should.equal(args["LanguageCode"])30    transcription_job["Media"].should.equal(args["Media"])31    transcription_job.should.contain("CreationTime")32    transcription_job.doesnt.contain("StartTime")33    transcription_job.doesnt.contain("CompletionTime")34    transcription_job.doesnt.contain("Transcript")35    transcription_job["Settings"]["ChannelIdentification"].should.equal(False)36    transcription_job["Settings"]["ShowAlternatives"].should.equal(False)37    transcription_job["Specialty"].should.equal(args["Specialty"])38    transcription_job["Type"].should.equal(args["Type"])39    # IN_PROGRESS40    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)41    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)42    transcription_job = resp["MedicalTranscriptionJob"]43    transcription_job["TranscriptionJobStatus"].should.equal("IN_PROGRESS")44    transcription_job["MediaFormat"].should.equal("wav")45    transcription_job.should.contain("StartTime")46    transcription_job.doesnt.contain("CompletionTime")47    transcription_job.doesnt.contain("Transcript")48    transcription_job["MediaSampleRateHertz"].should.equal(44100)49    # COMPLETED50    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)51    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)52    transcription_job = resp["MedicalTranscriptionJob"]53    transcription_job["TranscriptionJobStatus"].should.equal("COMPLETED")54    transcription_job.should.contain("CompletionTime")55    transcription_job["Transcript"].should.equal(56        {57            "TranscriptFileUri": "https://s3.{}.amazonaws.com/{}/medical/{}.json".format(58                region_name,59                args["OutputBucketName"],60                args["MedicalTranscriptionJobName"],61            )62        }63    )64    # Delete65    client.delete_medical_transcription_job(MedicalTranscriptionJobName=job_name)66    client.get_medical_transcription_job.when.called_with(67        MedicalTranscriptionJobName=job_name68    ).should.throw(client.exceptions.BadRequestException)69@mock_transcribe70def test_run_medical_transcription_job_all_params():71    region_name = "us-east-1"72    client = boto3.client("transcribe", region_name=region_name)73    vocabulary_name = "MyMedicalVocabulary"74    resp = client.create_medical_vocabulary(75        VocabularyName=vocabulary_name,76        LanguageCode="en-US",77        VocabularyFileUri="https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt",78    )79    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)80    job_name = "MyJob2"81    args = {82        "MedicalTranscriptionJobName": job_name,83        "LanguageCode": "en-US",84        "MediaSampleRateHertz": 48000,85        "MediaFormat": "flac",86        "Media": {"MediaFileUri": "s3://my-bucket/my-media-file.dat",},87        "OutputBucketName": "my-output-bucket",88        "OutputEncryptionKMSKeyId": "arn:aws:kms:us-east-1:012345678901:key/37111b5e-8eff-4706-ae3a-d4f9d1d559fc",89        "Settings": {90            "ShowSpeakerLabels": True,91            "MaxSpeakerLabels": 5,92            "ChannelIdentification": True,93            "ShowAlternatives": True,94            "MaxAlternatives": 6,95            "VocabularyName": vocabulary_name,96        },97        "Specialty": "PRIMARYCARE",98        "Type": "CONVERSATION",99    }100    resp = client.start_medical_transcription_job(**args)101    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)102    # CREATED103    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)104    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)105    transcription_job = resp["MedicalTranscriptionJob"]106    transcription_job["MedicalTranscriptionJobName"].should.equal(107        args["MedicalTranscriptionJobName"]108    )109    transcription_job["TranscriptionJobStatus"].should.equal("QUEUED")110    transcription_job["LanguageCode"].should.equal(args["LanguageCode"])111    transcription_job["Media"].should.equal(args["Media"])112    transcription_job.should.contain("CreationTime")113    transcription_job.doesnt.contain("StartTime")114    transcription_job.doesnt.contain("CompletionTime")115    transcription_job.doesnt.contain("Transcript")116    transcription_job["Settings"]["ShowSpeakerLabels"].should.equal(117        args["Settings"]["ShowSpeakerLabels"]118    )119    transcription_job["Settings"]["MaxSpeakerLabels"].should.equal(120        args["Settings"]["MaxSpeakerLabels"]121    )122    transcription_job["Settings"]["ChannelIdentification"].should.equal(123        args["Settings"]["ChannelIdentification"]124    )125    transcription_job["Settings"]["ShowAlternatives"].should.equal(126        args["Settings"]["ShowAlternatives"]127    )128    transcription_job["Settings"]["MaxAlternatives"].should.equal(129        args["Settings"]["MaxAlternatives"]130    )131    transcription_job["Settings"]["VocabularyName"].should.equal(132        args["Settings"]["VocabularyName"]133    )134    transcription_job["Specialty"].should.equal(args["Specialty"])135    transcription_job["Type"].should.equal(args["Type"])136    # IN_PROGRESS137    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)138    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)139    transcription_job = resp["MedicalTranscriptionJob"]140    transcription_job["TranscriptionJobStatus"].should.equal("IN_PROGRESS")141    transcription_job["MediaFormat"].should.equal("flac")142    transcription_job.should.contain("StartTime")143    transcription_job.doesnt.contain("CompletionTime")144    transcription_job.doesnt.contain("Transcript")145    transcription_job["MediaSampleRateHertz"].should.equal(48000)146    # COMPLETED147    resp = client.get_medical_transcription_job(MedicalTranscriptionJobName=job_name)148    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)149    transcription_job = resp["MedicalTranscriptionJob"]150    transcription_job["TranscriptionJobStatus"].should.equal("COMPLETED")151    transcription_job.should.contain("CompletionTime")152    transcription_job["Transcript"].should.equal(153        {154            "TranscriptFileUri": "https://s3.{}.amazonaws.com/{}/medical/{}.json".format(155                region_name,156                args["OutputBucketName"],157                args["MedicalTranscriptionJobName"],158            )159        }160    )161@mock_transcribe162def test_get_nonexistent_medical_transcription_job():163    region_name = "us-east-1"164    client = boto3.client("transcribe", region_name=region_name)165    client.get_medical_transcription_job.when.called_with(166        MedicalTranscriptionJobName="NonexistentJobName"167    ).should.throw(client.exceptions.BadRequestException)168@mock_transcribe169def test_run_medical_transcription_job_with_existing_job_name():170    region_name = "us-east-1"171    client = boto3.client("transcribe", region_name=region_name)172    job_name = "MyJob"173    args = {174        "MedicalTranscriptionJobName": job_name,175        "LanguageCode": "en-US",176        "Media": {"MediaFileUri": "s3://my-bucket/my-media-file.wav",},177        "OutputBucketName": "my-output-bucket",178        "Specialty": "PRIMARYCARE",179        "Type": "CONVERSATION",180    }181    resp = client.start_medical_transcription_job(**args)182    resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)183    client.start_medical_transcription_job.when.called_with(**args).should.throw(184        client.exceptions.ConflictException185    )186@mock_transcribe187def test_run_medical_transcription_job_nonexistent_vocabulary():188    region_name = "us-east-1"189    client = boto3.client("transcribe", region_name=region_name)190    job_name = "MyJob3"191    args = {192        "MedicalTranscriptionJobName": job_name,193        "LanguageCode": "en-US",194        "Media": {"MediaFileUri": "s3://my-bucket/my-media-file.dat",},195        "OutputBucketName": "my-output-bucket",196        "Settings": {"VocabularyName": "NonexistentVocabulary"},197        "Specialty": "PRIMARYCARE",198        "Type": "CONVERSATION",199    }200    client.start_medical_transcription_job.when.called_with(**args).should.throw(201        client.exceptions.BadRequestException202    )203@mock_transcribe204def test_list_medical_transcription_jobs():205    region_name = "us-east-1"206    client = boto3.client("transcribe", region_name=region_name)207    def run_job(index, target_status):208        job_name = "Job_{}".format(index)209        args = {210            "MedicalTranscriptionJobName": job_name,211            "LanguageCode": "en-US",212            "Media": {"MediaFileUri": "s3://my-bucket/my-media-file.wav",},213            "OutputBucketName": "my-output-bucket",214            "Specialty": "PRIMARYCARE",215            "Type": "CONVERSATION",216        }217        resp = client.start_medical_transcription_job(**args)218        resp["ResponseMetadata"]["HTTPStatusCode"].should.equal(200)219        # IMPLICITLY PROMOTE JOB STATUS TO QUEUED220        resp = client.get_medical_transcription_job(221            MedicalTranscriptionJobName=job_name222        )223        # IN_PROGRESS224        if target_status in ["IN_PROGRESS", "COMPLETED"]:225            resp = client.get_medical_transcription_job(226                MedicalTranscriptionJobName=job_name227            )228        # COMPLETED229        if target_status == "COMPLETED":230            resp = client.get_medical_transcription_job(231                MedicalTranscriptionJobName=job_name...

aws-transcribe.py

Source:aws-transcribe.py

...10        file_name = str(file_obj['s3']['object']['key'])11        s3_uri = "s3://"+bucket_name+"/"+file_name12        job_name = context.aws_request_id13        14        transcribe.start_medical_transcription_job(MedicalTranscriptionJobName=job_name,15            Media = {'MediaFileUri': s3_uri}, MediaFormat = 'wav', LanguageCode = 'en-US',16            OutputBucketName = 'file-aws-comprehend',17            Settings={ 'ShowSpeakerLabels': True, 'MaxSpeakerLabels': 2, 'ChannelIdentification': False},18            Type='DICTATION', Specialty='PRIMARYCARE')19    return {20        'statusCode': 200,21        'body': json.dumps('Transcription job created!')
...

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