def load_classes_and_courses():
with open(fn('course_codes_list.json')) as f:
course_codes_list = json.load(f)
with open(fn('classes_of_course.json')) as f:
classes_of_course = json.load(f)
return course_codes_list, classes_of_course
def peek():
if os.path.exists(fn(config.SCHEDULER_RESULT_FILE)):
return SUCCESS
pid = running_pid()
if pid:
try:
process = psutil.Process(pid)
if process.status() == psutil.STATUS_ZOMBIE:
return ZOMBIE
return RUNNING
except psutil.NoSuchProcess:
clear_running_file()
if os.path.exists(fn(config.SCHEDULER_OUTPUT_FILE)):
return FAILURE
return CLEAN
def read_feedback(enc='utf-8'):
global percent, last_line, line
with open(fn(config.SCHEDULER_OUTPUT_FILE), encoding=enc) as h:
for line in h:
last_line = line
if '+' in line:
# Vinícius imprime um char para cada 2% de progresso
percent = 2 * len(line.strip())
def clear_files():
files = [
config.SCHEDULER_RUNNING_FILE,
config.SCHEDULER_OUTPUT_FILE,
config.SCHEDULER_ERROR_FILE,
config.SCHEDULER_RESULT_FILE
]
for file in files:
try:
os.remove(fn(file))
except FileNotFoundError:
pass
def xlsx2csvs(filename):
wb = xlrd.open_workbook(filename)
sheet_names = wb.sheet_names()
csv_filenames = dict()
for name in sheet_names:
csv_basename = f'{name}.{time()}.csv'
csv_filename = fn(csv_basename)
csv_filenames[name] = csv_filename
sh = wb.sheet_by_name(name)
with open(csv_filename, 'w') as f:
wr = csv.writer(f, delimiter=config.CSV_DELIMITER, quotechar=config.CSV_QUOTECHAR,
quoting=csv.QUOTE_MINIMAL)
for row_num in range(sh.nrows):
wr.writerow(sh.row_values(row_num))
return csv_filenames
def get_progress():
if not os.path.exists(fn(config.SCHEDULER_OUTPUT_FILE)):
return 0
def read_feedback(enc='utf-8'):
last_line = ''
with open(fn(config.SCHEDULER_OUTPUT_FILE), encoding=enc) as h:
for line in h:
last_line = line
if '+' in line:
# Vinícius imprime um char para cada 2% de progresso
return 2 * len(line.strip())
return last_line
try:
return read_feedback()
except UnicodeDecodeError:
return read_feedback('latin1')
def clear_running_file():
try:
os.remove(fn(config.SCHEDULER_RUNNING_FILE))
except IOError:
pass
def get_logs_filenames():
return config.SCHEDULER_OUTPUT_FILE, fn(config.SCHEDULER_OUTPUT_FILE)
def get_result_filenames():
return config.SCHEDULER_RESULT_FILE, fn(config.SCHEDULER_RESULT_FILE)
def save_students(students_list):
with open(fn('students_list.json'), 'w') as f:
json.dump(students_list, f)
def save_parameters(param_list):
with open(fn('param_list.json'), 'w') as f:
json.dump(param_list, f)
def load_criteria():
with open(fn('criteria_list.json')) as f:
criteria_list = json.load(f)
return criteria_list
def save_criteria(criteria_list: list):
with open(fn('criteria_list.json'), 'w') as f:
json.dump(criteria_list, f)
def save_classes_and_courses(course_codes_list: list, classes_of_course: dict):
with open(fn('course_codes_list.json'), 'w') as f:
json.dump(course_codes_list, f)
with open(fn('classes_of_course.json'), 'w') as f:
json.dump(classes_of_course, f)
def load_students():
with open(fn('students_list.json')) as f:
students_list = json.load(f)
return students_list
def load_parameters():
with open(fn('param_list.json')) as f:
param_list = json.load(f)
return param_list
save_parameters, create_students_index, save_students
assert len(sys.argv) == 3, 'execute.py <max_search> <default_parameter>'
max_search = int(sys.argv[1])
default_parameter = int(sys.argv[2])
# DISCIPLINAS E TURMAS
log('processando disciplinas e turmas...')
classes_of_course, classes, criteria_list = get_courses_and_classes_data()
course_codes_list = list(classes_of_course.keys())
save_classes_and_courses(course_codes_list, classes_of_course)
save_criteria(criteria_list)
criteria_expr2index, index2criteria_expr = create_criteria_indexes(
criteria_list)
with open(fn('disciplinas'), 'w') as f:
for i, code in enumerate(course_codes_list):
n = len(classes_of_course[code])
f.write(f'{i}:{n}\n')
with open(fn('turmas'), 'w') as f:
for i, code in enumerate(course_codes_list):
for j, class_code in enumerate(classes_of_course[code]):
k = criteria_expr2index[classes[class_code]['criteria']]
carga = classes[class_code]['load']
vagas = classes[class_code]['vacancies']
encontros = parse_schedule(classes[class_code]['schedule'])
ne = len(encontros)
encontros_str = ','.join([str(encontro) for encontro in encontros])
f.write(f'{i}:{j}:{k},0;{carga};{vagas};{ne},{encontros_str}\n')
