def setup_daq(self):
""" Setup everything necessary to run the daq. """
# It isn't safe to fork multithreaded processes
# However you can't spawn if threads are already created
# Apparently forking a multithreaded process can cause deadlock because a process can get a lock and then die with it...
# If the code starts freezing when instruments are disconnected - this might be the problem
#mp.set_start_method('spawn')
# Set the save path for the data
file.PATH = file.get_file_path()
file.check_log() # Make sure the log exists, if it doesn't, create it
# Create the print queue to make stdout multiprocessing safe
self.p_queue = mp.JoinableQueue(self.max_print_queue_size)
if self.debug == False and self.print_normal == False:
sys.stdout = WriteStream(self.p_queue)
# Setup an initial dataset number
self.adv_dataset(self.desc)
"""
Created on Fri Jan 25 11:16:10 2019
@author: cu-pwfa
"""
import sys
sys.path.append('../')
import file as f
import matplotlib.pyplot as plt
import functions as fun
from matplotlib import rc
rc('mathtext', default='regular')
f.PATH = f.get_file_path()
path = f.PATH+'TRACE/year_2019/month_01/day_21/'
dataset = ['1901210020',
'1901210022']
amp = 1000
for num in dataset:
tracePATH = f.get_dirName_from_dataset('TRACE', num)
traceFILES = sorted(fun.list_files(tracePATH, 'npy'))
for fil in range(len(traceFILES)):
trace = f.load_TRACE(tracePATH+traceFILES[int(fil)])
chan = trace['meta']['Channel']
for key in chan:
if chan[key][0]:
if key == 'CH1':