import sys # to get file system encoding
import numpy as np # working with arrays and numbers
import time
from psychopy import visual, core, gui, monitors, event, logging
from datetime import datetime
import PyDAQmx as daq
# Self written packages
from helper import *
import psyTools as pt
import nidaqTools as daqT
#%% Initialize
# Parameters of projection for stimulus creation
use_nidaq = 1
(proj_params, use_nidaq) = pt.setup_params()
# An output structure for aligning with acquired imaging frames and storing stimulus
# meta data
now = datetime.now()
dt_string = now.strftime("%Y%m%d_%H%M%S")
meta = {"nidaq": use_nidaq, "proj_params": proj_params, "date_time": dt_string}
outputObj = OutputInfo(meta=meta)
#%% Reading stimulus information & generating epochs
# Ask user where the stim input file is located
stim_fname = gui.fileOpenDlg(os.getcwd())[0]
# Pre-organizing the routine and epochs
routine = PyStimRoutine(stim_fname)
print('Stimulus routine with {eN} epochs is generated...'.format(\
eN = routine.total_epoch_n))
from helper import *
import psyTools as pt
# import nidaqTools as daqT
#%% Initialize
# Reading stimulus information & generating epochs
# Ask user where the stim input file is located
stim_fname = gui.fileOpenDlg(os.getcwd())[0]
# Pre-organizing the routine and epochs
routine = PyStimRoutine(stim_fname)
print('Stimulus routine with {eN} epochs is generated...'.format(\
eN = routine.total_epoch_n))
#%% We need a monitor and a window to present the stimulus
# Parameters of projection for stimulus creation
(proj_params, use_nidaq) = pt.setup_params(stim_fname)
# Overwrite the current monitor parameters
mon = monitors.Monitor(proj_params["monitorName"])
win = visual.Window(size=mon.getSizePix(),
viewScale=proj_params['viewScale'],
pos=[proj_params['posX'], proj_params['posY']],
useFBO=True,
screen=proj_params['onDLP'],
allowGUI=False,
color=[-1, -1, -1],
viewOri=0.0,
fullscr=False,
monitor=mon)
#Detecting dropped frames if any