# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.pipeline import ClientRawResponse
from .. import models
[docs]class PredictionOperations(object):
"""PredictionOperations operations.
You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.config = config
[docs] def get_version_prediction(
self, app_id, version_id, prediction_request, verbose=None, show_all_intents=None, log=None, custom_headers=None, raw=False, **operation_config):
"""Gets the predictions for an application version.
:param app_id: The application ID.
:type app_id: str
:param version_id: The application version ID.
:type version_id: str
:param prediction_request: The prediction request parameters.
:type prediction_request:
~azure.cognitiveservices.language.luis.runtime.models.PredictionRequest
:param verbose: Indicates whether to get extra metadata for the
entities predictions or not.
:type verbose: bool
:param show_all_intents: Indicates whether to return all the intents
in the response or just the top intent.
:type show_all_intents: bool
:param log: Indicates whether to log the endpoint query or not.
:type log: bool
: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<msrest:optionsforoperations>`.
:return: PredictionResponse or ClientRawResponse if raw=true
:rtype:
~azure.cognitiveservices.language.luis.runtime.models.PredictionResponse
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorException<azure.cognitiveservices.language.luis.runtime.models.ErrorException>`
"""
# Construct URL
url = self.get_version_prediction.metadata['url']
path_format_arguments = {
'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True),
'appId': self._serialize.url("app_id", app_id, 'str'),
'versionId': self._serialize.url("version_id", version_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if verbose is not None:
query_parameters['verbose'] = self._serialize.query("verbose", verbose, 'bool')
if show_all_intents is not None:
query_parameters['show-all-intents'] = self._serialize.query("show_all_intents", show_all_intents, 'bool')
if log is not None:
query_parameters['log'] = self._serialize.query("log", log, 'bool')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
body_content = self._serialize.body(prediction_request, 'PredictionRequest')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('PredictionResponse', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_version_prediction.metadata = {'url': '/apps/{appId}/versions/{versionId}/predict'}
[docs] def get_slot_prediction(
self, app_id, slot_name, prediction_request, verbose=None, show_all_intents=None, log=None, custom_headers=None, raw=False, **operation_config):
"""Gets the predictions for an application slot.
:param app_id: The application ID.
:type app_id: str
:param slot_name: The application slot name.
:type slot_name: str
:param prediction_request: The prediction request parameters.
:type prediction_request:
~azure.cognitiveservices.language.luis.runtime.models.PredictionRequest
:param verbose: Indicates whether to get extra metadata for the
entities predictions or not.
:type verbose: bool
:param show_all_intents: Indicates whether to return all the intents
in the response or just the top intent.
:type show_all_intents: bool
:param log: Indicates whether to log the endpoint query or not.
:type log: bool
: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<msrest:optionsforoperations>`.
:return: PredictionResponse or ClientRawResponse if raw=true
:rtype:
~azure.cognitiveservices.language.luis.runtime.models.PredictionResponse
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorException<azure.cognitiveservices.language.luis.runtime.models.ErrorException>`
"""
# Construct URL
url = self.get_slot_prediction.metadata['url']
path_format_arguments = {
'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True),
'appId': self._serialize.url("app_id", app_id, 'str'),
'slotName': self._serialize.url("slot_name", slot_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if verbose is not None:
query_parameters['verbose'] = self._serialize.query("verbose", verbose, 'bool')
if show_all_intents is not None:
query_parameters['show-all-intents'] = self._serialize.query("show_all_intents", show_all_intents, 'bool')
if log is not None:
query_parameters['log'] = self._serialize.query("log", log, 'bool')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
body_content = self._serialize.body(prediction_request, 'PredictionRequest')
# Construct and send request
request = self._client.post(url, query_parameters, header_parameters, body_content)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('PredictionResponse', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_slot_prediction.metadata = {'url': '/apps/{appId}/slots/{slotName}/predict'}