How to use azure-cognitiveservices-language-textanalytics - 10 common examples

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'BatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('LanguageBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'MultiLanguageBatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('SentimentBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

# Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(input, 'MultiLanguageBatchInput')

        # Construct and send request
        request = self._client.post(url, query_parameters)
        response = self._client.send(
            request, header_parameters, body_content, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('KeyPhraseBatchResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

:param documents:
        :type documents:
         list[~azure.cognitiveservices.language.textanalytics.models.MultiLanguageInput]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides`.
        :return: KeyPhraseBatchResult or ClientRawResponse if raw=true
        :rtype:
         ~azure.cognitiveservices.language.textanalytics.models.KeyPhraseBatchResult
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException`
        """
        input = models.MultiLanguageBatchInput(documents=documents)

        # Construct URL
        url = '/v2.0/keyPhrases'
        path_format_arguments = {
            'AzureRegion': self._serialize.url("self.config.azure_region", self.config.azure_region, 'AzureRegions', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

:param documents:
        :type documents:
         list[~azure.cognitiveservices.language.textanalytics.models.MultiLanguageInput]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides`.
        :return: SentimentBatchResult or ClientRawResponse if raw=true
        :rtype:
         ~azure.cognitiveservices.language.textanalytics.models.SentimentBatchResult
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException`
        """
        input = models.MultiLanguageBatchInput(documents=documents)

        # Construct URL
        url = '/v2.0/sentiment'
        path_format_arguments = {
            'AzureRegion': self._serialize.url("self.config.azure_region", self.config.azure_region, 'AzureRegions', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

def __init__(
            self, azure_region, credentials):

        self.config = TextAnalyticsAPIConfiguration(azure_region, credentials)
        self._client = ServiceClient(self.config.credentials, self.config)

        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
        self.api_version = 'v2.0'
        self._serialize = Serializer(client_models)
        self._deserialize = Deserializer(client_models)

:param documents:
        :type documents:
         list[~azure.cognitiveservices.language.textanalytics.models.Input]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides`.
        :return: LanguageBatchResult or ClientRawResponse if raw=true
        :rtype:
         ~azure.cognitiveservices.language.textanalytics.models.LanguageBatchResult
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException`
        """
        input = models.BatchInput(documents=documents)

        # Construct URL
        url = '/v2.0/languages'
        path_format_arguments = {
            'AzureRegion': self._serialize.url("self.config.azure_region", self.config.azure_region, 'AzureRegions', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

def __init__(
            self, azure_region, credentials):

        self.config = TextAnalyticsAPIConfiguration(azure_region, credentials)
        self._client = ServiceClient(self.config.credentials, self.config)

        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
        self.api_version = 'v2.0'
        self._serialize = Serializer(client_models)
        self._deserialize = Deserializer(client_models)

def __init__(
            self, azure_region, credentials):

        if azure_region is None:
            raise ValueError("Parameter 'azure_region' must not be None.")
        if credentials is None:
            raise ValueError("Parameter 'credentials' must not be None.")
        base_url = 'https://{AzureRegion}.api.cognitive.microsoft.com/text/analytics'

        super(TextAnalyticsAPIConfiguration, self).__init__(base_url)

        self.add_user_agent('azure-cognitiveservices-language-textanalytics/{}'.format(VERSION))

        self.azure_region = azure_region
        self.credentials = credentials

def __init__(self, **kwargs):
        super(DetectedLanguage, self).__init__(**kwargs)
        self.name = kwargs.get('name', None)
        self.iso6391_name = kwargs.get('iso6391_name', None)
        self.score = kwargs.get('score', None)