def _replace_brackets_by_loaded_parameter(cls, neuron_parameters,
loaded_parameters):
"""
Receive a value (which can be a str or dict or list) and instantiate value in double brace bracket
by the value specified in the loaded_parameters dict.
This method will call itself until all values has been instantiated
:param neuron_parameters: value to instantiate. Str or dict or list
:param loaded_parameters: dict of parameters
"""
logger.debug("[NeuronLauncher] replacing brackets from %s, using %s" %
(neuron_parameters, loaded_parameters))
# add variables from the short term memory to the list of loaded parameters that can be used in a template
# the final dict is added into a key "intelora_memory" to not override existing keys loaded form the order
memory_dict = dict()
memory_dict["intelora_memory"] = Cortex.get_memory()
if loaded_parameters is None:
loaded_parameters = dict(
) # instantiate an empty dict in order to be able to add memory in it
loaded_parameters.update(memory_dict)
if isinstance(neuron_parameters, str) or isinstance(
neuron_parameters, six.text_type):
# replace bracket parameter only if the str contains brackets
if Utils.is_containing_bracket(neuron_parameters):
# check that the parameter to replace is available in the loaded_parameters dict
if cls._neuron_parameters_are_available_in_loaded_parameters(
neuron_parameters, loaded_parameters):
# add parameters from global variable into the final loaded parameter dict
settings = cls.load_settings()
loaded_parameters.update(settings.variables)
neuron_parameters = jinja2.Template(
neuron_parameters).render(loaded_parameters)
neuron_parameters = Utils.encode_text_utf8(
neuron_parameters)
return str(neuron_parameters)
else:
raise NeuronParameterNotAvailable
return neuron_parameters
if isinstance(neuron_parameters, dict):
returned_dict = dict()
for key, value in neuron_parameters.items():
# following keys are reserved by intelora core
if key in "say_template" or key in "file_template" or key in "intelora_memory" \
or key in "from_answer_link":
returned_dict[key] = value
else:
returned_dict[
key] = cls._replace_brackets_by_loaded_parameter(
value, loaded_parameters)
return returned_dict
if isinstance(neuron_parameters, list):
returned_list = list()
for el in neuron_parameters:
templated_value = cls._replace_brackets_by_loaded_parameter(
el, loaded_parameters)
returned_list.append(templated_value)
return returned_list
# in all other case (boolean or int for example) we return the value as it
return neuron_parameters
def test_get_memory(self):
test_memory = {
"key1": "value1",
"key2": "value2"
}
Cortex.memory = test_memory
self.assertDictEqual(test_memory, Cortex.get_memory())