# -*- coding: utf-8 -*-
__author__ = 'kschoef'
from lookup_utilities import user_academicstatus_lookup, relevantuserdisc_lookup, user_nrresources_lookup
user_adacemicstatus_dict = user_academicstatus_lookup()
user_disciplines_dict, user_owndiscipline_dict = relevantuserdisc_lookup(threshold=0.75)
user_nres_dict = user_nrresources_lookup()
file_ = open('results/specialist_info_helperfile')
file_write = open('results/specialist_info','wb')
#the generated file contains, tab seperated:
#username nr_tag nr_tas fu trust fr trust eu trust eu trust t trust d trust nr_res
for line in file_:
row = line.strip('\n').split('\t')
user = row[0]
#check if all data for user is available:
try:
prof = user_adacemicstatus_dict[user]
derived_disc = user_disciplines_dict[user]
disc = user_owndiscipline_dict[user]
nr_res = user_nres_dict[user]
except: continue # todo: if lookups fail for dicts --> skip user
#if data available, write in file
new_line = line.strip('\n')
from numpy import median
from list_utilities import normalize_data
from lookup_utilities import user_nrresources_lookup, read_extended_personomy_file
from ExpertUser1 import ExpertUser1
from parameters import * #NB: not in github
#NB: we define an active tagger as someone who has:
#1) at least > xx resources
#2) at least > xx tags
#3) at least > xx tag assignments
#read some data
dict_userres = user_nrresources_lookup()
file_ = open('data/personomies_extended')
#file_new = open('results/specialists_data_corrected','wb')
#initialize variables
username = []
fu = []
fr = []
eu = []
t = []
d = []
tas = []
tag_freq = []
fu_t = []