def get_model_response():
params = request.get_json()
_logger.info('request params: %s' % params)
try:
dialog_context = parse_dataset_param(params, param_name='context')
except KeyError as e:
return get_api_error_response(
'Malformed request, no "%s" param was found' % e.message, 400,
_logger)
except ValueError as e:
return get_api_error_response('Malformed request: %s' % e.message, 400,
_logger)
emotion = params.get('emotion', DEFAULT_CONDITION)
if emotion not in EMOTIONS_TYPES:
return get_api_error_response(
'Malformed request, emotion param "%s" is not in emotion list %s' %
(emotion, list(EMOTIONS_TYPES)), 400, _logger)
response = get_response(dialog_context, emotion)
if not response:
_logger.error('No response for context: %s; emotion "%s"' %
(dialog_context, emotion))
return jsonify({}), 200
_logger.info('Given response: "%s" for context: %s; emotion "%s"' %
(response, dialog_context, emotion))
return jsonify({'response': response}), 200
def get_model_response():
params = request.get_json()
_logger.info('request params: %s' % params)
try:
dialog_context = parse_dataset_param(params, param_name='context')
except KeyError as e:
return get_api_error_response('Malformed request, no "%s" param was found' % e.message, 400, _logger)
except ValueError as e:
return get_api_error_response('Malformed request: %s' % e.message, 400, _logger)
emotion = params.get('emotion', DEFAULT_CONDITION)
if emotion not in EMOTIONS_TYPES:
return get_api_error_response('Malformed request, emotion param "%s" is not in emotion list %s' %
(emotion, list(EMOTIONS_TYPES)), 400, _logger)
response = get_response(dialog_context, emotion)
if not response:
_logger.error('No response for context: %s; emotion "%s"' % (dialog_context, emotion))
return jsonify({}), 200
_logger.info('Given response: "%s" for context: %s; emotion "%s"' % (response, dialog_context, emotion))
return jsonify({'response': response}), 200
def get_model_response():
params = request.get_json()
_logger.info('request params: {}'.format(params))
try:
dialog_context = parse_dataset_param(params, param_name='context')
except KeyError as e:
return get_api_error_response(
'Malformed request, no "{}" param was found'.format(e), 400,
_logger)
except ValueError as e:
return get_api_error_response('Malformed request: {}'.format(e), 400,
_logger)
emotion = params.get('emotion', DEFAULT_CONDITION)
if emotion not in EMOTIONS_TYPES:
return get_api_error_response(
'Malformed request, emotion param "{}" is not in emotion list {}'.
format(emotion, list(EMOTIONS_TYPES)), 400, _logger)
response = get_response(dialog_context, emotion)
_logger.info('Given response: "{}" for context: {}; emotion "{}"'.format(
response, dialog_context, emotion))
return jsonify({'response': response}), 200
def get_model_response():
params = request.get_json()
_logger.info('request params: %s' % params)
try:
dialog_context = parse_dataset_param(params, param_name='context')
except KeyError as e:
return get_api_error_response(
'Malformed request, no "%s" param was found' % str(e), 400,
_logger)
except ValueError as e:
return get_api_error_response('Malformed request: %s' % str(e), 400,
_logger)
emotion = params.get('emotion', DEFAULT_CONDITION)
custom_chatbot = chatbots.get(emotion)
if emotion not in EMOTIONS_TYPES and not custom_chatbot:
return get_api_error_response(
'Malformed request, emotion param "%s" is not in emotion list %s' %
(emotion, list(EMOTIONS_TYPES)), 400, _logger)
if custom_chatbot:
try:
response = custom_chatbot.make_prediction(dialog_context[-1])[0]
except IndexError:
response = "I'm not sure."
else:
response = get_response(dialog_context, emotion)
if not response:
_logger.error('No response for context: %s; emotion "%s"' %
(dialog_context, emotion))
return jsonify({}), 200
_logger.info('Given response: "%s" for context: %s; emotion "%s"' %
(response, dialog_context, emotion))
return jsonify({'response': response}), 200
def on_exception(exception):
return get_api_error_response(
'Can\'t process request: {}'.format(exception), 500, _logger)