def progress(entries, root):
resources = {}
for entry in entries:
field = entry[0]
text = entry[1].get()
if field == 'resource files folder':
if text:
resources = preprocessor.main(text)
number_of_files = len(resources)
else:
messagebox.showerror("Error", "No resource path specified")
return
local = DoubleVar()
# defines indeterminate progress bar (used while thread is alive) #
pb1 = ttk.Progressbar(root,
orient='horizontal',
variable=local,
maximum=number_of_files)
# defines determinate progress bar (used when thread is dead) #
pb2 = ttk.Progressbar(root, orient='horizontal', mode='determinate')
pb2['value'] = 100
# places and starts progress bar #
pb1.pack(fill=X, expand=1)
# starts thread #
thread = Thread(target=generate_schema, args=(entries, resources))
thread.start()
# checks whether thread is alive #
while thread.is_alive():
local.set(progressbar.progress)
root.update() #_idletasks()
pass
# once thread is no longer active, remove pb1 and place the '100%' progress bar #
pb1.destroy()
pb2.pack()
return
sys.exit("Something went wrong when reading settings file")
model = {}
resource_graph = {}
state_graph = {}
if args['model']:
print('Loading model...')
nlp_model = {}
with open(args['model']) as data_file:
nlp_model = json.load(data_file)
model = nlp_model['model']
resource_graph = nlp_model['resource_graph']
state_graph = nlp_model['state_graph']
elif args['folder']:
print('Parsing resources...')
resources = preprocessor.main(args['folder'])
if not resources:
print(
'No resources found, did you insert the correct resources folder?')
sys.exit()
resource_names = nlp.plural_extend(resources)
print('Processing resources...')
nlp_model = nlp.resource_analysis(resources, resource_names)
model = nlp_model['model']
resource_graph = nlp_model['resource_graph']
state_graph = nlp_model['state_graph']
with open('output_files/nlp_model.json', 'w') as outfile:
json.dump(nlp_model, outfile, indent=4)
print('Generating files...')
graph.draw(resource_graph, state_graph, args['fixgraph'])