def __init__(self, input=None):
"""Create InputParser object."""
self._original_sections = None
self._filename = None
self._sections = None
if input is not None:
if isinstance(input, dict):
self._sections = input
elif isinstance(input, str):
self._filename = input
else:
raise AquaError("Invalid parser input type.")
self._section_order = [
JSONSchema.PROBLEM, PluggableType.INPUT.value,
PluggableType.ALGORITHM.value
]
for pluggable_type in local_pluggables_types():
if pluggable_type not in [
PluggableType.INPUT, PluggableType.ALGORITHM
]:
self._section_order.append(pluggable_type.value)
self._section_order.extend([JSONSchema.BACKEND, InputParser._UNKNOWN])
self._json_schema = JSONSchema(
os.path.join(os.path.dirname(__file__), 'input_schema.json'))
self._json_schema.populate_problem_names()
self._json_schema.commit_changes()
def is_pluggable_section(section_name):
section_name = JSONSchema.format_section_name(section_name)
for pluggable_type in local_pluggables_types():
if section_name == pluggable_type.value:
return True
return False
def _update_dependency_sections(self):
algo_name = self.get_section_property(JSONSchema.ALGORITHM,JSONSchema.NAME)
config = {} if algo_name is None else get_algorithm_configuration(algo_name)
classical = config['classical'] if 'classical' in config else False
pluggable_dependencies = [] if 'depends' not in config else config['depends']
pluggable_defaults = {} if 'defaults' not in config else config['defaults']
pluggable_types = local_pluggables_types()
for pluggable_type in pluggable_types:
# remove pluggables from input that are not in the dependencies
if pluggable_type != JSONSchema.ALGORITHM and pluggable_type not in pluggable_dependencies and pluggable_type in self._sections:
del self._sections[pluggable_type]
for pluggable_type in pluggable_dependencies:
pluggable_name = None
if pluggable_type in pluggable_defaults:
if JSONSchema.NAME in pluggable_defaults[pluggable_type]:
pluggable_name = pluggable_defaults[pluggable_type][JSONSchema.NAME]
if pluggable_name is not None and pluggable_type not in self._sections:
self.set_section_property(pluggable_type,JSONSchema.NAME,pluggable_name)
# update default values for new dependency pluggable types
self.set_section_properties(pluggable_type,self.get_section_default_properties(pluggable_type))
# update backend based on classical
if classical:
if JSONSchema.BACKEND in self._sections:
del self._sections[JSONSchema.BACKEND]
else:
if JSONSchema.BACKEND not in self._sections:
self._sections[JSONSchema.BACKEND] = self.get_section_default_properties(JSONSchema.BACKEND)
#reorder sections
self._sections = self._order_sections(self._sections)
def __init__(self, input=None):
"""Create InputParser object."""
self._original_sections = None
self._filename = None
self._sections = None
if input is not None:
if isinstance(input, dict):
self._sections = input
elif isinstance(input, str):
self._filename = input
else:
raise AlgorithmError("Invalid parser input type.")
self._section_order = [
InputParser.PROBLEM, InputParser.INPUT, InputParser.ALGORITHM
]
for pluggable_type in local_pluggables_types():
if pluggable_type != InputParser.ALGORITHM:
self._section_order.append(pluggable_type)
self._section_order.extend([InputParser.BACKEND, InputParser._UNKNOWN])
problems_dict = OrderedDict()
for algo_name in local_algorithms():
problems = InputParser.get_algorithm_problems(algo_name)
for problem in problems:
problems_dict[problem] = None
problems_enum = {'enum': list(problems_dict.keys())}
jsonfile = os.path.join(os.path.dirname(__file__), 'input_schema.json')
with open(jsonfile) as json_file:
self._schema = json.load(json_file)
self._schema['definitions'][InputParser.PROBLEM]['properties'][
InputParser.NAME]['oneOf'] = [problems_enum]
self._original_schema = copy.deepcopy(self._schema)
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_pluggable_input_schemas(self, input_parser):
"""
Updates schemas of all pluggables
Args:
input_parser (obj): input parser
"""
# find algorithm
default_algo_name = self.get_property_default_value(PluggableType.ALGORITHM.value, JSONSchema.NAME)
algo_name = input_parser.get_section_property(PluggableType.ALGORITHM.value, JSONSchema.NAME, default_algo_name)
# update algorithm scheme
if algo_name is not None:
self._update_pluggable_input_schema(PluggableType.ALGORITHM.value, algo_name, default_algo_name)
# update algorithm depoendencies scheme
config = {} if algo_name is None else get_pluggable_configuration(PluggableType.ALGORITHM, algo_name)
classical = config['classical'] if 'classical' in config else False
pluggable_dependencies = [] if 'depends' not in config else config['depends']
pluggable_defaults = {
} if 'defaults' not in config else config['defaults']
pluggable_types = local_pluggables_types()
for pluggable_type in pluggable_types:
if pluggable_type not in [PluggableType.INPUT, PluggableType.ALGORITHM] and \
pluggable_type.value not in pluggable_dependencies:
# remove pluggables from schema that ate not in the dependencies
if pluggable_type.value in self._schema['properties']:
del self._schema['properties'][pluggable_type.value]
# update algorithm backend from schema if it is classical or not
if classical:
if JSONSchema.BACKEND in self._schema['properties']:
del self._schema['properties'][JSONSchema.BACKEND]
else:
if JSONSchema.BACKEND not in self._schema['properties']:
self._schema['properties'][JSONSchema.BACKEND] = self._original_schema['properties'][JSONSchema.BACKEND]
# update schema with dependencies
for pluggable_type in pluggable_dependencies:
pluggable_name = None
default_properties = {}
if pluggable_type in pluggable_defaults:
for key, value in pluggable_defaults[pluggable_type].items():
if key == JSONSchema.NAME:
pluggable_name = pluggable_defaults[pluggable_type][key]
else:
default_properties[key] = value
default_name = pluggable_name
pluggable_name = input_parser.get_section_property(
pluggable_type, JSONSchema.NAME, pluggable_name)
# update dependency schema
self._update_pluggable_input_schema(
pluggable_type, pluggable_name, default_name)
for property_name in self._schema['properties'][pluggable_type]['properties'].keys():
if property_name in default_properties:
self._schema['properties'][pluggable_type]['properties'][property_name]['default'] = default_properties[property_name]
def _merge_dependencies(self):
algo_name = self.get_section_property(PluggableType.ALGORITHM.value,
JSONSchema.NAME)
if algo_name is None:
return
config = get_pluggable_configuration(PluggableType.ALGORITHM,
algo_name)
pluggable_dependencies = [] if 'depends' not in config else config[
'depends']
pluggable_defaults = {} if 'defaults' not in config else config[
'defaults']
for pluggable_type in local_pluggables_types():
if pluggable_type not in [PluggableType.INPUT, PluggableType.ALGORITHM] and \
pluggable_type.value not in pluggable_dependencies:
# remove pluggables from input that are not in the dependencies
if pluggable_type.value in self._sections:
del self._sections[pluggable_type.value]
section_names = self.get_section_names()
for pluggable_type in pluggable_dependencies:
pluggable_name = None
new_properties = {}
if pluggable_type in pluggable_defaults:
for key, value in pluggable_defaults[pluggable_type].items():
if key == JSONSchema.NAME:
pluggable_name = pluggable_defaults[pluggable_type][
key]
else:
new_properties[key] = value
if pluggable_name is None:
continue
if pluggable_type not in section_names:
self.set_section(pluggable_type)
if self.get_section_property(pluggable_type,
JSONSchema.NAME) is None:
self.set_section_property(pluggable_type, JSONSchema.NAME,
pluggable_name)
if pluggable_name == self.get_section_property(
pluggable_type, JSONSchema.NAME):
properties = self.get_section_properties(pluggable_type)
if new_properties:
new_properties.update(properties)
else:
new_properties = properties
self.set_section_properties(pluggable_type, new_properties)
def _merge_default_values(self):
section_names = self.get_section_names()
if JSONSchema.NAME not in section_names:
self.set_section(JSONSchema.NAME)
if JSONSchema.ALGORITHM in section_names:
if JSONSchema.PROBLEM not in section_names:
self.set_section(JSONSchema.PROBLEM)
self._json_schema.update_pluggable_input_schemas(self)
self._merge_dependencies()
self._update_driver_sections()
self._update_driver_input_schemas()
self._update_operator_input_schema()
# do not merge any pluggable that doesn't have name default in schema
default_section_names = []
pluggable_types = local_pluggables_types()
for section_name in self.get_default_section_names():
if section_name in pluggable_types:
if self.get_property_default_value(
section_name, JSONSchema.NAME) is not None:
default_section_names.append(section_name)
else:
default_section_names.append(section_name)
section_names = set(
self.get_section_names()) | set(default_section_names)
for section_name in section_names:
if section_name not in self._sections:
self.set_section(section_name)
new_properties = self.get_section_default_properties(section_name)
if new_properties is not None:
if self.section_is_text(section_name):
text = self.get_section_text(section_name)
if (text is None or len(text) == 0) and \
isinstance(new_properties, str) and \
len(new_properties) > 0 and \
text != new_properties:
self.set_section_data(section_name, new_properties)
else:
properties = self.get_section_properties(section_name)
new_properties.update(properties)
self.set_section_properties(section_name, new_properties)
self._sections = self._order_sections(self._sections)
def _load_data(self):
if self._data_loaded:
return
from qiskit_aqua import (local_pluggables_types,
local_pluggables,
get_pluggable_configuration)
self._property_titles = OrderedDict()
self._sections = OrderedDict()
for pluggable_type in local_pluggables_types():
self._sections[pluggable_type.value] = OrderedDict()
self._property_titles[pluggable_type.value] = OrderedDict()
for pluggable_name in local_pluggables(pluggable_type):
config = copy.deepcopy(get_pluggable_configuration(pluggable_type, pluggable_name))
self._populate_section(pluggable_type.value, pluggable_name, config)
self._data_loaded = True
def __init__(self, input=None):
"""Create InputParser object."""
self._sections = OrderedDict()
self._original_sections = OrderedDict()
self._filename = None
self._inputdict = None
if input is not None:
if isinstance(input, dict):
self._inputdict = input
elif isinstance(input, str):
self._filename = input
else:
raise AquaChemistryError("Invalid parser input type.")
self._section_order = [
JSONSchema.NAME, JSONSchema.PROBLEM, InputParser.DRIVER,
InputParser._UNKNOWN, InputParser.OPERATOR, JSONSchema.ALGORITHM
]
for pluggable_type in local_pluggables_types():
if pluggable_type != JSONSchema.ALGORITHM:
self._section_order.append(pluggable_type)
self._section_order.append(JSONSchema.BACKEND)
jsonfile = os.path.join(os.path.dirname(__file__),
'substitutions.json')
with open(jsonfile) as json_file:
self._substitutions = json.load(json_file)
self._json_schema = JSONSchema(
os.path.join(os.path.dirname(__file__), 'input_schema.json'))
# get some properties from algorithms schema
self._json_schema.copy_section_from_aqua_schema(JSONSchema.ALGORITHM)
self._json_schema.copy_section_from_aqua_schema(JSONSchema.BACKEND)
self._json_schema.copy_section_from_aqua_schema(JSONSchema.PROBLEM)
self._json_schema.schema['properties'][JSONSchema.PROBLEM][
'properties'][InputParser.AUTO_SUBSTITUTIONS] = {
"type": "boolean",
"default": "true"
}
self._json_schema.populate_problem_names()
self._json_schema.commit_changes()
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 _update_dependency_sections(self):
algo_name = self.get_section_property(InputParser.ALGORITHM,
InputParser.NAME)
config = {} if algo_name is None else get_algorithm_configuration(
algo_name)
classical = config['classical'] if 'classical' in config else False
pluggable_dependencies = [] if 'depends' not in config else config[
'depends']
pluggable_defaults = {} if 'defaults' not in config else config[
'defaults']
pluggable_types = local_pluggables_types()
for pluggable_type in pluggable_types:
if pluggable_type != InputParser.ALGORITHM and pluggable_type not in pluggable_dependencies:
# remove pluggables from input that are not in the dependencies
if pluggable_type in self._sections:
del self._sections[pluggable_type]
for pluggable_type in pluggable_dependencies:
pluggable_name = None
if pluggable_type in pluggable_defaults:
if InputParser.NAME in pluggable_defaults[pluggable_type]:
pluggable_name = pluggable_defaults[pluggable_type][
InputParser.NAME]
if pluggable_name is not None and pluggable_type not in self._sections:
self.set_section_property(pluggable_type, InputParser.NAME,
pluggable_name)
# update backend based on classical
if classical:
if InputParser.BACKEND in self._sections:
del self._sections[InputParser.BACKEND]
else:
if InputParser.BACKEND not in self._sections:
self._sections[
InputParser.BACKEND] = self.get_section_default_properties(
InputParser.BACKEND)
def is_pluggable_section(section_name):
return JSONSchema.format_section_name(section_name) in local_pluggables_types()
def _update_pluggable_input_schemas(self):
# find alogorithm
default_algo_name = self.get_property_default_value(
InputParser.ALGORITHM, InputParser.NAME)
algo_name = self.get_section_property(InputParser.ALGORITHM,
InputParser.NAME,
default_algo_name)
# update alogorithm scheme
if algo_name is not None:
self._update_pluggable_input_schema(InputParser.ALGORITHM,
algo_name, default_algo_name)
# update alogorithm depoendencies scheme
config = {} if algo_name is None else get_algorithm_configuration(
algo_name)
classical = config['classical'] if 'classical' in config else False
pluggable_dependencies = [] if 'depends' not in config else config[
'depends']
pluggable_defaults = {} if 'defaults' not in config else config[
'defaults']
pluggable_types = local_pluggables_types()
for pluggable_type in pluggable_types:
if pluggable_type != InputParser.ALGORITHM and pluggable_type not in pluggable_dependencies:
# remove pluggables from schema that ate not in the dependencies
if pluggable_type in self._schema['definitions']:
del self._schema['definitions'][pluggable_type]
if pluggable_type in self._schema['properties']:
del self._schema['properties'][pluggable_type]
# update algorithm backend from schema if it is classical or not
if classical:
if InputParser.BACKEND in self._schema['definitions']:
del self._schema['definitions'][InputParser.BACKEND]
if InputParser.BACKEND in self._schema['properties']:
del self._schema['properties'][InputParser.BACKEND]
else:
if InputParser.BACKEND not in self._schema['definitions']:
self._schema['definitions'][
InputParser.BACKEND] = self._original_schema[
'definitions'][InputParser.BACKEND]
if InputParser.BACKEND not in self._schema['properties']:
self._schema['properties'][
InputParser.BACKEND] = self._original_schema['properties'][
InputParser.BACKEND]
# update schema with dependencies
for pluggable_type in pluggable_dependencies:
pluggable_name = None
default_properties = {}
if pluggable_type in pluggable_defaults:
for key, value in pluggable_defaults[pluggable_type].items():
if key == InputParser.NAME:
pluggable_name = pluggable_defaults[pluggable_type][
key]
else:
default_properties[key] = value
default_name = pluggable_name
pluggable_name = self.get_section_property(pluggable_type,
InputParser.NAME,
pluggable_name)
if pluggable_name is None:
continue
# update dependency schema
self._update_pluggable_input_schema(pluggable_type, pluggable_name,
default_name)
for property_name in self._schema['definitions'][pluggable_type][
'properties'].keys():
if property_name in default_properties:
self._schema['definitions'][pluggable_type]['properties'][
property_name]['default'] = default_properties[
property_name]
def is_pluggable_section(section_name):
return InputParser._format_section_name(
section_name) in local_pluggables_types()
