from matviz.matviz import etl
import chart as chart
import utils_db as udb
import utils_df as udf
import utils_git as ugit
import utils_controls as ucon
import jinja2
import json
import requests
import pickle
import traceback
from utils_logger import get_logger
logger = get_logger(__name__, None, streaming=True, to_file=False, debug=False)
CONTROL_SUBJECT_QTY = 50
# CONTROL_SUBJECT_QTY = 3
STAGING_POST_URL = "https://reactneuro-portal-staging.herokuapp.com/api/v1/"
PRODUCTION_POST_URL = 'https://reactneuro-portal.herokuapp.com/api/v1/'
EXAM_TO_VIZ_FUNC = {
'prosaccade': chart.plot_prosaccade,
'convergence': chart.plot_convergence,
'pupillaryreflex': chart.plot_pupillaryreflex,
'gaze': chart.plot_gaze,
'smoothpursuit': chart.plot_smoothpursuit,
'smoothpursuit2d': chart.plot_smoothpursuit2d,
'trailmaking': chart.plot_trailmaking,
'trailmaking2': chart.plot_trailmaking,
def __init__(self):
self.logger = utils_logger.get_logger(self.__class__.__name__)
current_dir = os.path.dirname(os.path.abspath(__file__))
self._file_record = os.path.join(current_dir, 'record.txt')