Test your AI Agents with the all-new Agent to Agent Testing Platform.Learn More

How to use describe_language_model method in localstack

Best Python code snippet using localstack_python

conftest.py

Source:conftest.py

...179        headers = {"Content-Type": "application/json"}180        print("GET /service/transcribe/list_language_models")181        list_language_models_response = requests.get(self.stack_resources["WorkflowApiEndpoint"]+'/service/transcribe/list_language_models', headers=headers, verify=True, auth=self.auth)182        return list_language_models_response183    def describe_language_model(self, body):184        headers = {"Content-Type": "application/json"}185        print("POST /service/transcribe/describe_language_model")186        describe_language_model_response = requests.post(self.stack_resources["WorkflowApiEndpoint"]+'/service/transcribe/describe_language_model', headers=headers, json=body, verify=True, auth=self.auth)187        return describe_language_model_response188@pytest.fixture(scope='session', autouse=True)189def upload_media(testing_env_variables, stack_resources):190    print('Uploading Test Media')191    s3 = boto3.client('s3', region_name=testing_env_variables['REGION'])192    # Upload test media files193    s3.upload_file(testing_env_variables['MEDIA_PATH'] + testing_env_variables['TEST_PARALLEL_DATA'], stack_resources['DataplaneBucket'], testing_env_variables['TEST_PARALLEL_DATA'])194    # Wait for fixture to go out of scope:195    yield upload_media196@pytest.fixture(scope='session')197def terminology(workflow_api, stack_resources, testing_env_variables):...

transcribe.py

Source:transcribe.py

...43        44    # Checks training status45    def __check_clm_status(self):46        client = boto3.client('transcribe')47        status = client.describe_language_model(48            ModelName=self.clm_model_name49        )50        return status["LanguageModel"]['ModelStatus']51    52    # Method to call Transcribe's custom language model (CLM), when a trained custom language model is already available53    def __clmTranscribe(self, mediaS3, outBucket, outKey, jobName, clmModelName, langCode='en-US'):54        # Start transcription55        client = boto3.client('transcribe')56        response = client.start_transcription_job(57            TranscriptionJobName = jobName,58            LanguageCode = langCode, #'en-US'59            ModelSettings={60                'LanguageModelName': clmModelName61            },...

test_transcribe_proxy.py

Source:test_transcribe_proxy.py

...24    # Describe a custom language model if any exist.25    if len(response["Models"]) > 0:26        model_name = response["Models"][0]["ModelName"]27        body = {'ModelName': model_name}28        describe_language_model_response = workflow_api.describe_language_model(body)29        response = describe_language_model_response.json()30        assert "ModelName" in response["LanguageModel"]...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.