def _load_data(self):
if self._data_loaded:
return
from qiskit_aqua import (local_pluggables_types, local_pluggables,
get_pluggable_configuration)
from qiskit_aqua.input import (local_inputs, get_input_configuration)
self._property_titles = OrderedDict()
self._sections = OrderedDict()
self._sections[Model._INPUT_NAME] = OrderedDict()
self._property_titles[Model._INPUT_NAME] = OrderedDict()
for input_name in local_inputs():
config = copy.deepcopy(get_input_configuration(input_name))
self._populate_section(Model._INPUT_NAME, input_name, config)
for pluggable_type in local_pluggables_types():
self._sections[pluggable_type] = OrderedDict()
self._property_titles[pluggable_type] = OrderedDict()
for pluggable_name in local_pluggables(pluggable_type):
config = copy.deepcopy(
get_pluggable_configuration(pluggable_type,
pluggable_name))
self._populate_section(pluggable_type, pluggable_name, config)
self._data_loaded = True
def _update_algorithm_input_schema(self):
# find alogorithm input
default_name = self.get_property_default_value(
InputParser.INPUT, JSONSchema.NAME)
input_name = self.get_section_property(
InputParser.INPUT, JSONSchema.NAME, default_name)
if input_name is None:
# find the first valid input for the problem
problem_name = self.get_section_property(
JSONSchema.PROBLEM, JSONSchema.NAME)
if problem_name is None:
problem_name = self.get_property_default_value(
JSONSchema.PROBLEM, JSONSchema.NAME)
if problem_name is None:
raise AlgorithmError(
"No algorithm 'problem' section found on input.")
for name in local_inputs():
if problem_name in self.get_input_problems(name):
# set to the first input to solve the problem
input_name = name
break
if input_name is None:
# just remove fromm schema if none solves the problem
if InputParser.INPUT in self._json_schema.schema['properties']:
del self._json_schema.schema['properties'][InputParser.INPUT]
return
if default_name is None:
default_name = input_name
config = {}
try:
config = get_input_configuration(input_name)
except:
pass
input_schema = config['input_schema'] if 'input_schema' in config else {
}
properties = input_schema['properties'] if 'properties' in input_schema else {
}
properties[JSONSchema.NAME] = {'type': 'string'}
required = input_schema['required'] if 'required' in input_schema else [
]
additionalProperties = input_schema['additionalProperties'] if 'additionalProperties' in input_schema else True
if default_name is not None:
properties[JSONSchema.NAME]['default'] = default_name
required.append(JSONSchema.NAME)
if InputParser.INPUT not in self._json_schema.schema['properties']:
self._json_schema.schema['properties'][InputParser.INPUT] = {
'type': 'object'}
self._json_schema.schema['properties'][InputParser.INPUT]['properties'] = properties
self._json_schema.schema['properties'][InputParser.INPUT]['required'] = required
self._json_schema.schema['properties'][InputParser.INPUT]['additionalProperties'] = additionalProperties
def __init__(self):
"""Create Model object."""
self._property_titles = OrderedDict()
self._sections = OrderedDict()
self._sections[Model._INPUT_NAME] = OrderedDict()
self._property_titles[Model._INPUT_NAME] = OrderedDict()
for input_name in local_inputs():
config = copy.deepcopy(get_input_configuration(input_name))
self._populate_section(Model._INPUT_NAME, input_name, config)
for pluggable_type in local_pluggables_types():
self._sections[pluggable_type] = OrderedDict()
self._property_titles[pluggable_type] = OrderedDict()
for pluggable_name in local_pluggables(pluggable_type):
config = copy.deepcopy(
get_pluggable_configuration(pluggable_type,
pluggable_name))
self._populate_section(pluggable_type, pluggable_name, config)
def get_input_problems(input_name):
config = get_input_configuration(input_name)
if 'problems' in config:
return config['problems']
return []