def load(self):
self.copy_template_folder()
# Parse input files
# =================
self.dakota_input_file = ParsedDakotaInputFile(self.config_path(self.input_file_name))
# Register input file
# ===================
self.register_dakota_file(self.input_file_name, self.dakota_input_file)
# Load function from Visualization module
# =======================================
self.visualization_load()
# Convert table_out.dat to table_out.csv and load for visualization
# =================================================================
if self.status == DakotaApp.FINISHED:
self.__output_csv = DakotaTableCsv(self.current_run_path())
self.load_data(self.__output_csv)
self.update_tree_view()
class samplingExperiment(DakotaApp, Visualization):
"""
dakotaSampling
==============
"""
app_name = "samplingExperiment"
input_types = []
output_types = ["dakota_table_csv"]
def __init__(self, parent, instance_name, status):
"""
Constructor of samplingExperiment
:param parent:
:param instance_name:
:param status:
:return:
"""
DakotaApp.__init__(self, parent, instance_name, status)
Visualization.__init__(self)
# Experiment Methods
# ==================
self.experiment_methods = self.get_model_data("method_types")
# Input file name
# ===============
self.input_file_name = "input.in"
# Parsed files
# ============
self.dakota_input_file = None
# Input/Output objects
# ====================
self.__output_csv = []
# TreeView model for variables in GUI
# ===================================
self.__tree_view_model = []
def load(self):
self.copy_template_folder()
# Parse input files
# =================
self.dakota_input_file = ParsedDakotaInputFile(self.config_path(self.input_file_name))
# Register input file
# ===================
self.register_dakota_file(self.input_file_name, self.dakota_input_file)
# Load function from Visualization module
# =======================================
self.visualization_load()
# Convert table_out.dat to table_out.csv and load for visualization
# =================================================================
if self.status == DakotaApp.FINISHED:
self.__output_csv = DakotaTableCsv(self.current_run_path())
self.load_data(self.__output_csv)
self.update_tree_view()
def prepare(self):
"""
Prepare run folder for running
:return:
"""
self.clear_folder_content(self.current_run_path())
self.copy_folder_content(self.config_path(), self.current_run_path())
self.__make_executable_by_owner(["dakota_cleanup", "simulator_script"])
return True
def run(self):
if self.dakota_exec(["-i", "input.in"]) == 0:
self.__output_csv = DakotaTableCsv(self.current_run_path())
self.load_data(self.__output_csv)
return True
def __make_executable_by_owner(self, files):
for f in files:
file_path = self.current_run_path(f)
st = os.stat(file_path)
os.chmod(file_path, st.st_mode | stat.S_IEXEC)
'''
TreeView for app
================
'''
tree_view_model_changed = pyqtSignal(name="treeViewModelChanged")
@property
def tree_view_model(self):
return self.__tree_view_model
@tree_view_model.setter
def tree_view_model(self, tree_view_model):
if self.__tree_view_model != tree_view_model:
self.__tree_view_model = tree_view_model
self.tree_view_model_changed.emit()
treeViewModel = pyqtProperty("QVariantList", fget=tree_view_model.fget, fset=tree_view_model.fset,
notify=tree_view_model_changed)
def __create_tree_view_model(self):
descriptors_list = self.get_dakota_var("input.in variables descriptors")
variables_model = [{
"text": name,
"index": i
} for i, name in enumerate(descriptors_list)]
# descriptors_count = self.get_dakota_var("input.in variables continuous_design")
model = variables_model
return model
def update_tree_view(self):
self.tree_view_model = self.__create_tree_view_model()
'''
Experiment selection
====================
'''
# def get_experiment_method_model(self):
# return self.experiment_methods
def get_experiment_method(self, path=None):
dak_var = self.dakota_input_file['method']
for method in self.experiment_methods:
if method in dak_var:
return method
return 'none'
def set_experiment_method(self, path, value):
if value == "dace":
self.dakota_input_file['method'] = OrderedDict([
('id_method', 'method1'),
('dace', ''),
('lhs', ''),
('samples', 42),
('seed', 42)
])
elif value == "sampling":
self.dakota_input_file['method'] = OrderedDict([
('id_method', 'method1'),
('sampling', ''),
('sample_type', ''),
('lhs', ''),
('samples', 42),
('seed', 42),
('rng', ''),
('rnum2', '')
])
elif value == "fsu_cvt":
self.dakota_input_file['method'] = OrderedDict([
('id_method', 'method1'),
('fsu_cvt', ''),
('samples', 42),
('seed', 42)
])
elif value == "fsu_quasi_mc":
self.dakota_input_file['method'] = OrderedDict([
('id_method', 'method1'),
('fsu_quasi_mc', ''),
('halton', ''),
('samples', 42)
])
elif value == "psuade_moat":
self.dakota_input_file['method'] = OrderedDict([
("id_method", "method1"),
("psuade_moat", ""),
("samples", 42),
("seed", 42)
])
else:
raise KeyError("Not found key "+value)
self.dakota_input_file.writeFile()
def experiment_method_signal_name(self, path):
return self.input_file_name + " method"
'''
Number of variables/descriptors
===============================
'''
def get_descriptors_count(self):
descriptors = self.get_dakota_var("input.in variables descriptors")
count = len(descriptors)
return count
'''
Add variable
============
'''
def add_variable(self):
# Variable is added to the end of the variables list
# ==================================================
variables_dict = self.dakota_input_file['variables']
if 'descriptors' in variables_dict:
self.add_descriptor()
if 'upper_bounds' in variables_dict:
self.add_upper_bounds()
if 'lower_bounds' in variables_dict:
self.add_lower_bounds()
if 'initial_point' in variables_dict:
self.add_initial_point()
if 'continuous_design' in variables_dict:
self.update_continuous_design_descriptors_count()
self.dakota_input_file.writeFile()
self.update_tree_view()
def add_descriptor(self, i=1):
descriptors_count = self.get_descriptors_count()
name = "x" + str(descriptors_count+i)
descriptors_list = self.dakota_input_file["variables"]["descriptors"]
if name not in descriptors_list:
descriptors_list.append(name)
self.set_dakota_var("input.in variables descriptors", descriptors_list)
else:
name = self.add_descriptor(i=i+1)
return name
def add_upper_bounds(self):
self.dakota_input_file["variables"]["upper_bounds"].append(1)
def add_lower_bounds(self):
self.dakota_input_file["variables"]["lower_bounds"].append(0)
def add_initial_point(self):
self.dakota_input_file["variables"]["initial_point"].append(0)
def update_continuous_design_descriptors_count(self):
self.dakota_input_file["variables"]["continuous_design"] = self.get_descriptors_count()
'''
Remove variable
===============
'''
def remove_variable(self, descriptor_name):
self.debug(descriptor_name)
index = None
for i, name in enumerate(self.dakota_input_file['variables']['descriptors']):
if name == descriptor_name:
index = i
if index is not None:
self.dakota_input_file["variables"]["descriptors"].remove(descriptor_name)
del self.dakota_input_file["variables"]["upper_bounds"][index]
del self.dakota_input_file["variables"]["lower_bounds"][index]
del self.dakota_input_file["variables"]["initial_point"][index]
self.dakota_input_file.writeFile()
self.update_tree_view()
'''
Output for other Apps
=====================
'''
def dakota_table_csv_out(self):
return copy.deepcopy(self.__output_csv)