-#!/bin/env python
# -*- coding: utf-8 -*-
#Author: Pierre Ratinaud
-#Copyright (c) 2008-2012 Pierre Ratinaud
+#Copyright (c) 2008-2020 Pierre Ratinaud
+#modification pour python 3 : Laurent Mérat, 6x7 - mai 2020
#License: GNU/GPL
-import wx
+#------------------------------------
+# import des modules python
+#------------------------------------
import re
-from ConfigParser import ConfigParser
from subprocess import Popen, call, PIPE
-import thread
+import _thread
import os
import ast
import sys
from copy import copy
from shutil import copyfile
import shelve
+import json
#from dialog import BugDialog
import logging
+from operator import itemgetter
+
+#------------------------------------
+# import des modules wx
+#------------------------------------
+import wx
+import wx.adv
+
+#------------------------------------
+# import des fichiers du projet
+#------------------------------------
+from configparser import ConfigParser
+
log = logging.getLogger('iramuteq')
-indices_simi = [u'cooccurrence' ,'pourcentage de cooccurrence',u'Russel',u'Jaccard', 'Kulczynski1', 'Kulczynski2', 'Mountford', 'Fager', 'simple matching', 'Hamman', 'Faith', 'Tanimoto', 'Dice', 'Phi', 'Stiles', 'Michael', 'Mozley', 'Yule', 'Yule2', 'Ochiai', 'Simpson', 'Braun-Blanquet','Chi-squared', 'Phi-squared', 'Tschuprow', 'Cramer', 'Pearson', 'binomial']
+indices_simi = ['cooccurrence' ,'pourcentage de cooccurrence','Russel','Jaccard', 'Kulczynski1', 'Kulczynski2', 'Mountford', 'Fager', 'simple matching', 'Hamman', 'Faith', 'Tanimoto', 'Dice', 'Phi', 'Stiles', 'Michael', 'Mozley', 'Yule', 'Yule2', 'Ochiai', 'Simpson', 'Braun-Blanquet','Chi-squared', 'Phi-squared', 'Tschuprow', 'Cramer', 'Pearson', 'binomial']
+def open_folder(folder):
+ if sys.platform == "win32":
+ os.startfile(folder)
+ else:
+ opener ="open" if sys.platform == "darwin" else "xdg-open"
+ #call([opener, folder])
+ call(["%s %s &" % (opener, folder)], shell=True)
def normpath_win32(path) :
if not sys.platform == 'win32' :
self.path = path
self.tgen = {}
self.encoding = encoding
-
+
def __getitem__(self, key):
return self.tgen[key]
-
+
def read(self, path = None):
if path is None :
path = self.path
tgen = dict([[line[0], line[1:]] for line in tgen])
self.tgen = tgen
self.path = path
-
+
def write(self, path = None):
if path is None :
path = self.path
- with open(path, 'w') as f :
- f.write('\n'.join(['\t'.join([val] + self.tgen[val]) for val in self.tgen]).encode(self.encoding))
-
+ with open(path, 'w', encoding='utf8') as f :
+ f.write('\n'.join(['\t'.join([val] + self.tgen[val]) for val in self.tgen]))
+
def writetable(self, pathout, tgens, totocc):
- etoiles = totocc.keys()
+ etoiles = list(totocc.keys())
etoiles.sort()
- with open(pathout, 'w') as f :
- line = '\t'.join([u'tgens'] + etoiles) + '\n'
- f.write(line.encode(self.encoding))
+ with open(pathout, 'w', encoding='utf8') as f :
+ line = '\t'.join(['tgens'] + etoiles) + '\n'
+ f.write(line)
for t in tgens :
- line = '\t'.join([t] + [`tgens[t][et]` for et in etoiles]) + '\n'
- f.write(line.encode(self.encoding))
+ line = '\t'.join([t] + [repr(tgens[t][et]) for et in etoiles]) + '\n'
+ f.write(line)
i = 0
totname = 'total'
- while totname + `i` in tgens :
+ while totname + repr(i) in tgens :
i += 1
- totname = totname + `i`
- line = '\t'.join([totname] + [`totocc[et]` for et in etoiles]) + '\n'
- f.write(line.encode(self.encoding))
+ totname = totname + repr(i)
+ line = '\t'.join([totname] + [repr(totocc[et]) for et in etoiles]) + '\n'
+ f.write(line)
class History :
def __init__(self, filein, syscoding = 'utf8') :
self.read()
def read(self) :
- d = shelve.open(self.filein)
+ with open(self.filein, 'r') as fjson :
+ d = json.load(fjson)
+# d = shelve.open(self.filein, protocol=1)
self.history = d.get('history', [])
self.matrix = d.get('matrix', [])
self.ordercorpus = dict([[corpus['uuid'], i] for i, corpus in enumerate(self.history)])
self.analyses = dict([[analyse['uuid'], analyse] for corpus in self.history for analyse in corpus.get('analyses', [])])
self.matrixanalyse = dict([[mat['uuid'], mat] for mat in self.matrix])
self.ordermatrix = dict([[matrix['uuid'], i] for i, matrix in enumerate(self.matrix)])
- d.close()
+# d.close()
def write(self) :
- d = shelve.open(self.filein)
+ d = {}
d['history'] = self.history
d['matrix'] = self.matrix
- d.close()
-
+ with open(self.filein, 'w') as f :
+ f.write(json.dumps(d, indent=4, default=str))
+ #d = shelve.open(self.filein, protocol=1)
+ #d.close()
+
def add(self, analyse) :
log.info('add to history %s' % analyse.get('corpus_name', 'pas un corpus'))
tosave = {'uuid' : analyse['uuid'], 'ira': analyse['ira'], 'type' : analyse['type']}
self.matrix[self.ordermatrix[tosave['matrix']]]['analyses'].append(tosave)
self.write()
self.read()
-
+
def addmultiple(self, analyses) :
log.info('add multiple')
for analyse in analyses :
self.history[self.ordercorpus[analyse['corpus']]]['analyses'].pop(todel)
elif analyse['uuid'] in self.matrixanalyse :
self.matrix = [mat for mat in self.matrix if mat['uuid'] != analyse['uuid']]
+ elif analyse.get('matrix', False) in self.matrixanalyse :
+ analyses = self.matrix[self.ordermatrix[analyse['matrix']]]['analyses']
+ topop = [i for i, val in enumerate(analyses) if analyse['uuid'] == val['uuid']][0]
+ analyses.pop(topop)
+ self.matrix[self.ordermatrix[analyse['matrix']]]['analyses'] = analyses
self.write()
self.read()
def rmtab(self, analyse) :
del self.opened[analyse['uuid']]
-
+
def update(self, analyse) :
if 'matrix_name' in analyse :
self.matrixanalyse[analyse['uuid']].update(analyse)
def clean(self) :
corpustodel = [corpus for corpus in self.history if not os.path.exists(corpus['ira'])]
- print corpustodel
+ print(corpustodel)
for corpus in corpustodel :
- print 'cleaning :', corpus['corpus_name']
+ print('cleaning :', corpus['corpus_name'])
self.delete(corpus, corpus = True)
anatodel = [analyse for corpus in self.history for analyse in corpus.get('analyses', []) if not os.path.exists(analyse.get('ira', '/'))]
for analyse in anatodel :
- print 'cleaning :', analyse['name']
+ print('cleaning :', analyse['name'])
self.delete(analyse)
-
+
+ def dostat(self):
+ todel = {}
+ tokens = 0
+ corpusnb = {}
+ subnb = 0
+ analysenb = 0
+ hours = 0
+ minutes = 0
+ secondes = 0
+ ha = 0
+ ma = 0
+ sa = 0
+ for corpus in self.history :
+ analysenb += len(corpus.get('analyses', []))
+ analyses = corpus.get('analyses', [])
+ for analyse in analyses :
+ if os.path.exists(analyse['ira']) :
+ ana = DoConf(analyse['ira']).getoptions()
+ if 'time' in ana :
+ time = ana['time'].split()
+ ha += int(time[0].replace('h','')) * 3600
+ ma += int(time[1].replace('m','')) * 60
+ sa += int(time[2].replace('s',''))
+ if os.path.exists(corpus['ira']) :
+ param = DoConf(corpus['ira']).getoptions()
+ time = param.get('time','0h 0m 0s')
+ time = time.split()
+ hours += int(time[0].replace('h','')) * 3600
+ minutes += int(time[1].replace('m','')) * 60
+ secondes += int(time[2].replace('s',''))
+ if param.get('originalpath', False) :
+ if param['originalpath'] in corpusnb :
+ corpusnb[param['originalpath']] += 1
+ tokens += int(param['occurrences'])
+ else :
+ corpusnb[param['originalpath']] = 1
+ #print param
+ else :
+ subnb += 1
+ else :
+ if corpus['ira'] in todel :
+ todel['ira'] += 1
+ else :
+ todel['ira'] = 1
+ print('Nbr total de corpus : %s' % len(self.history))
+ corpus_nb = len(corpusnb) + len(todel)
+ print('Nbr de corpus différents : %s' % corpus_nb)
+ lentodel = len(todel)
+ print('Nbr de corpus à supprimer : %s' % lentodel)
+ print('Nbr de sous corpus : %s' % subnb)
+ print("Nbr total d'occurrences : %s" % tokens)
+ print('Moyenne occurrences par corpus : %f' % (tokens/corpus_nb))
+ print('---------------------')
+ print("Nbr total d'analyses : %s" % analysenb)
+ print('Temps total indexation : %f h' % ((hours+minutes+secondes) / 3600))
+ print('Temps total analyses : %f h' % ((ha+ma+sa) / 3600))
+
def __str__(self) :
return str(self.history)
class DoConf :
def __init__(self, configfile=None, diff = None, parametres = None) :
self.configfile = configfile
- self.conf = ConfigParser()
-
+ self.conf = ConfigParser(interpolation=None) # pourquoi ce paramètre ???
+
if configfile is not None :
configfile = normpath_win32(configfile)
- self.conf.readfp(codecs.open(configfile, 'r', 'utf8'))
+ self.conf.read_file(codecs.open(configfile, 'r', 'utf8'))
self.parametres = {}
if parametres is not None :
self.doparametres(parametres)
if 'type' not in parametres :
parametres['type'] = section
return parametres
-
+
def makeoptions(self, sections, parametres, outfile = None) :
txt = ''
for i, section in enumerate(sections) :
self.conf.add_section(section)
for option in parametres[i] :
if isinstance(parametres[i][option], int) :
- self.conf.set(section, option, `parametres[i][option]`)
+ self.conf.set(section, option, repr(parametres[i][option]))
txt += '%s = %i\n' % (option, parametres[i][option])
- elif isinstance(parametres[i][option], basestring) :
- self.conf.set(section, option, parametres[i][option].encode('utf8'))
+ elif isinstance(parametres[i][option], str) :
+ self.conf.set(section, option, parametres[i][option])
txt += '%s = %s\n' % (option, parametres[i][option])
elif isinstance(parametres[i][option], wx.Colour) :
self.conf.set(section, option, str(parametres[i][option]))
elif option == 'analyses' :
pass
else :
- self.conf.set(section, option, `parametres[i][option]`)
- txt += '%s = %s\n' % (option, `parametres[i][option]`)
+ self.conf.set(section, option, repr(parametres[i][option]))
+ txt += '%s = %s\n' % (option, repr(parametres[i][option]))
if outfile is None :
outfile = self.configfile
outfile = normpath_win32(outfile)
- with open(outfile, 'w') as f :
- f.write(txt.encode('utf8'))
+ with open(outfile, 'w', encoding="utf-8") as f :
+ f.write(txt)
#self.conf.write(f)
def totext(self, parametres) :
txt = []
for val in parametres :
if isinstance(parametres[val], int) :
- txt.append(' \t\t: '.join([val, `parametres[val]`]))
- elif isinstance(parametres[val], basestring) :
+ txt.append(' \t\t: '.join([val, repr(parametres[val])]))
+ elif isinstance(parametres[val], str) :
txt.append(' \t\t: '.join([val, parametres[val]]))
elif val in ['listet', 'stars'] :
pass
else :
- txt.append(' \t\t: '.join([val, `parametres[val]`]))
+ txt.append(' \t\t: '.join([val, repr(parametres[val])]))
return '\n'.join(txt)
def write_tab(tab, fileout) :
- writer = csv.writer(open(fileout, 'wb'), delimiter=';', quoting = csv.QUOTE_NONNUMERIC)
- writer.writerows(tab)
+ csvWriter = csv.writer(open(fileout, 'w', newline='', encoding='utf8'), delimiter=';', quoting = csv.QUOTE_NONNUMERIC)
+ csvWriter.writerows(tab)
class BugDialog(wx.Dialog):
def __init__(self, *args, **kwds):
# begin wxGlade: MyDialog.__set_properties
self.SetMinSize(wx.Size(500, 200))
self.text_ctrl_1.SetMinSize(wx.Size(500, 200))
-
+
# end wxGlade
def __do_layout(self):
AnalyseConf.set(section, 'clusternb', clusternb)
AnalyseConf.set(section, 'corpus_name', corpname)
- fileout = open(DictPathOut['ira'], 'w')
+ fileout = open(DictPathOut['ira'], 'w', encoding='utf8')
AnalyseConf.write(fileout)
fileout.close()
-def sortedby(list, direct, *indices):
+def multisort(liste2d, ordre, indices_tri):
+
+ """
+ methode destinée à remplacer 'comp' qui a disparu en Python 3
+ tri de tuples sur l'un des éléments du tuple
+ en principe, elle doit renvoyer les éléments triés selon le principe d'avant
+ tel que décrit dans la docstring de 'sortedby'
+
+ probablement à améliorer pour la rendre d'usage plus général
+ en acceptant un nombre variable de parametres ???
+ """
+
+ indices_triTuple = indices_tri.Tuple(int, ...)
+ for key in reversed(indices_tri):
+ liste2d.sort(key=attrgetter(key), reverse=ordre)
+ return liste2d
+
+def sortedby(liste2d, direct, *indices):
"""
sortedby: sort a list of lists (e.g. a table) by one or more indices
for list = [[2,3],[1,2],[3,1]]:
sortedby(list,1) will return [[3, 1], [1, 2], [2, 3]],
sortedby(list,0) will return [[1, 2], [2, 3], [3, 1]]
+
+ elle n'est pas remplacée par la méthode 'multisort' ???
+
"""
- nlist = map(lambda x, indices=indices:
- map(lambda i, x=x: x[i], indices) + [x],
- list)
- if direct == 1:
- nlist.sort()
- elif direct == 2:
- nlist.sort(reverse=True)
- return map(lambda l: l[-1], nlist)
+# iramuteq original
+# nlist = map(lambda x, indices=indices:
+# map(lambda i, x=x: x[i], indices) + [x],
+# list)
+
+# iramuteq passé à 2to3
+# nlist = list(map(lambda x, indices=indices:
+# list(map(lambda i, x=x: x[i], indices)) + [x],
+# liste2d))
+
+ for key in reversed(indices):
+ liste2d.sort(key=itemgetter(key), reverse=(direct==2))
+ return liste2d
+
+
+# if direct == 1:
+# nlist.sort()
+# sorted_list = multisort(liste2d, direct, *indices)
+
+# elif direct == 2:
+# nlist.sort(reverse=True)
+# sorted_list = multisort(liste2d, direct, *indices)
+
+# return [l[-1] for l in nlist]
+# return sorted_list
def add_type(line, dictlem):
if line[4] in dictlem:
if line[0] == '*' or line[0] == '*****' :
return line + ['']
if line[5] == 'NA':
- print 'NA', line[5]
+ print('NA', line[5])
pass
elif float(line[5].replace(',', '.')) < 0.0001:
line[5] = '< 0,0001'
line[5] = str(float(line[5].replace(',', '.')))[0:7]
return [i, int(line[0]), int(line[1]), float(line[2]), float(line[3]), line[6], line[4], line[5]]
-def ReadProfileAsDico(File, Alceste=False, encoding = sys.getdefaultencoding()):
+def ReadProfileAsDico(File, Alceste=False, encoding = 'utf8'):
dictlem = {}
- print 'lecture des profiles'
- FileReader = codecs.open(File, 'r', encoding)
+ print('lecture des profiles')
+ FileReader = open(File, 'r', encoding='utf8')
Filecontent = FileReader.readlines()
FileReader.close()
DictProfile = {}
rows.pop(0)
ClusterNb = rows[0][2]
rows.pop(0)
- clusters = [row[2] for row in rows if row[0] == u'**']
- valclusters = [row[1:4] for row in rows if row[0] == u'****']
- lp = [i for i, line in enumerate(rows) if line[0] == u'****']
- prof = [rows[lp[i] + 1:lp[i+1] - 1] for i in range(0, len(lp)-1)] + [rows[lp[-1] + 1:len(rows)]]
+ clusters = [row[2] for row in rows if row[0] == '**']
+ valclusters = [row[1:4] for row in rows if row[0] == '****']
+ lp = [i for i, line in enumerate(rows) if line[0] == '****']
+ prof = [rows[lp[i] + 1:lp[i+1] - 1] for i in range(0, len(lp)-1)] + [rows[lp[-1] + 1:len(rows)]]
if Alceste :
prof = [[add_type(row, dictlem) for row in pr] for pr in prof]
- prof = [[treat_line_alceste(i,line) for i, line in enumerate(pr)] for pr in prof]
+ prof = [[treat_line_alceste(i,line) for i, line in enumerate(pr)] for pr in prof]
else :
prof = [[line + [''] for line in pr] for pr in prof]
prof = [[treat_line_alceste(i,line) for i, line in enumerate(pr)] for pr in prof]
Si on trouve un '$', c'est fini.
Sinon, on cherche le meilleur candidat. C'est-à-dire le rapport poids/distance le plus important.
"""
- separateurs = [[u'.', 60.0], [u'?', 60.0], [u'!', 60.0], [u'£$£', 60], [u':', 50.0], [u';', 40.0], [u',', 10.0], [u' ', 0.1]]
+ separateurs = [['.', 60.0], ['?', 60.0], ['!', 60.0], ['£$£', 60], [':', 50.0], [';', 40.0], [',', 10.0], [' ', 0.1]]
trouve = False # si on a trouvé un bon séparateur
iDecoupe = 0 # indice du caractere ou il faut decouper
-
+
# on découpe la chaine pour avoir au maximum 240 caractères
longueur = min(longueur, len(chaine) - 1)
chaineTravail = chaine[:longueur + 1]
nbCar = longueur
meilleur = ['', 0, 0] # type, poids et position du meilleur separateur
-
+
# on vérifie si on ne trouve pas un '$'
- indice = chaineTravail.find(u'$')
+ indice = chaineTravail.find('$')
if indice > -1:
trouve = True
iDecoupe = indice
# on vérifie si le caractére courant est une marque de ponctuation
for s in separateurs:
if caractere == s[0]:
- # si c'est une ponctuation
-
+ # si c'est une ponctuation
+
if s[1] / distance > float(meilleur[1]) / meilleureDistance:
# print nbCar, s[0]
meilleur[0] = s[0]
meilleur[2] = nbCar
trouve = True
iDecoupe = nbCar
-
+
# et on termine la recherche
break
# on passe au caractère précédant
nbCar = nbCar - 1
-
+
# si on a trouvé
if trouve:
fin = chaine[iDecoupe + 1:]
return False, chaine.split(), ''
-exceptions = {'paragrapheOT' : u"Un problème de formatage (présence d'un marqueur de paragraphe (-*) en dehors d'un texte) est survenu à la ligne ",
- 'EmptyText' : u"Texte vide (probablement un problème de formatage du corpus). Le problème est apparu à la ligne ",
- 'CorpusEncoding' : u"Problème d'encodage.",
- 'TextBeforeTextMark' : u"Problème de formatage : du texte avant le premier marqueur de texte (****). Le problème est survenu à la ligne ",
- 'MissingAnalyse' : u'Aucun fichier à cet emplacement :\n',
+exceptions = {'paragrapheOT' : "Un problème de formatage (présence d'un marqueur de paragraphe (-*) en dehors d'un texte) est survenu à la ligne ",
+ 'EmptyText' : "Texte vide (probablement un problème de formatage du corpus). Le problème est apparu à la ligne ",
+ 'CorpusEncoding' : "Problème d'encodage.",
+ 'TextBeforeTextMark' : "Problème de formatage : du texte avant le premier marqueur de texte (****). Le problème est survenu à la ligne ",
+ 'MissingAnalyse' : 'Aucun fichier à cet emplacement :\n',
}
def BugReport(parent, error = None):
for ch in parent.GetChildren():
if "<class 'wx._windows.ProgressDialog'>" == str(type(ch)):
- ch.Destroy()
+ ch.Destroy()
excName, exc, excTb = formatExceptionInfo()
if excName == 'Exception' :
- print exc
+ print(exc)
if len(exc.split()) == 2 :
mss, linenb = exc.split()
if mss in exceptions :
txt = exc
title = "Information"
else :
- txt = u' !== BUG ==! \n'
- txt += u'*************************************\n'
+ txt = '\n !== BUG ==! \n'
+ txt += '*************************************\n'
txt += '\n'.join(excTb).replace(' ', ' ')
txt += excName + '\n'
- txt += `exc`
+ txt += repr(exc)
title = "Bug"
dial = BugDialog(parent, **{'title' : title})
dial.CenterOnParent()
dial.ShowModal()
dial.Destroy()
-
+
def PlaySound(parent):
if parent.pref.getboolean('iramuteq', 'sound') :
try:
if "gtk2" in wx.PlatformInfo:
error = Popen(['aplay','-q',os.path.join(parent.AppliPath,'son_fin.wav')])
- else :
- sound = wx.Sound(os.path.join(parent.AppliPath, 'son_fin.wav'))
- sound.Play(wx.SOUND_SYNC)
+ else :
+ sound = wx.adv.Sound(os.path.join(parent.AppliPath, 'son_fin.wav'))
+ sound.Play(wx.adv.SOUND_SYNC)
except :
- print 'pas de son'
+ print('pas de son')
def ReadDicoAsDico(dicopath):
- with codecs.open(dicopath, 'r', 'UTF8') as f:
+ with open(dicopath, 'r', encoding='UTF8') as f:
content = f.readlines()
- lines = [line.rstrip('\n\r').replace(u'\n', '').replace('"', '').split('\t') for line in content if line != u'']
+ lines = [line.rstrip('\n\r').replace('\n', '').replace('"', '').split('\t') for line in content if line != '']
return dict([[line[0], line[1:]] for line in lines])
def ReadLexique(parent, lang = 'french', filein = None):
else :
parent.lexique = ReadDicoAsDico(filein)
-def ReadList(filein, encoding = sys.getdefaultencoding(), sep = ';'):
+def ReadList(filein, encoding = 'utf8', sep = ';'):
#file = open(filein)
- with codecs.open(filein, 'r', encoding) as f :
+ with open(filein, 'r', encoding='utf8') as f :
content = f.read()
content = [line.replace('\n', '').replace('\r','').replace('\"', '').replace(',', '.').split(sep) for line in content.splitlines()]
#file = codecs.open(filein, 'r', encoding)
#line = line.split(';')
nline = [line[0]]
for val in line[1:]:
- if val == u'NA' :
+ if val == 'NA' :
don = ''
- else:
+ else:
try:
don = int(val)
except:
needX11 = False
except :
needX11 = False
-
rpath = rpath.replace('\\','\\\\')
env = os.environ.copy()
if sys.platform == 'darwin' and 'LC_ALL' not in env:
if sys.platform == 'win32':
error = call(["%s" % rpath, "--vanilla","--slave","-f", "%s" % rcode])
else :
- error = call([rpath, '--slave', "--vanilla", "-f %s" % rcode, "--encoding=UTF-8"], env = env)
+ error = call([rpath, '--slave', "--vanilla", "--encoding=UTF-8", "-f %s" % rcode], env = env)
return error
else :
if sys.platform == 'win32':
pid = Popen(["%s" % rpath, '--vanilla','--slave','-f', "%s" % rcode])
else :
- pid = Popen([rpath, '--slave', "--vanilla", "-f %s" % rcode, "--encoding=UTF-8"], stderr = PIPE, env = env)
+ pid = Popen([rpath, '--slave', "--vanilla", "--encoding=UTF-8", "-f %s" % rcode], stderr = PIPE, env = env, encoding='UTF-8') #PIPE ou STDOUT ?
return pid
else :
if wait :
error = call(["%s" % rpath, '--vanilla','--slave','-f', "%s" % rcode])
elif sys.platform == 'darwin' and needX11:
os.environ['DISPLAY'] = ':0.0'
- error = call([rpath, '--vanilla','--slave',"-f %s" % rcode, "--encoding=UTF-8"], env = env)
+ error = call([rpath, '--vanilla','--slave', "--encoding=UTF-8","-f %s" % rcode], env = env, encoding='UTF-8')
else :
- error = call([rpath, '--vanilla','--slave',"-f %s" % rcode, "--encoding=UTF-8"], env = env)
+ error = call([rpath, '--vanilla','--slave', "--encoding=UTF-8","-f %s" % rcode], env = env, encoding='UTF-8')
return error
else :
if sys.platform == 'win32':
pid = Popen(["%s" % rpath, '--vanilla','--slave','-f', "%s" % rcode])
elif sys.platform == 'darwin' and needX11:
os.environ['DISPLAY'] = ':0.0'
- pid = Popen([rpath, '--vanilla','--slave',"-f %s" % rcode, "--encoding=UTF-8"], stderr = PIPE, env = env)
+ pid = Popen([rpath, '--vanilla','--slave', "--encoding=UTF-8","-f %s" % rcode], stderr = PIPE, env = env, encoding='UTF-8')
else :
- pid = Popen([rpath, '--vanilla','--slave',"-f %s" % rcode, "--encoding=UTF-8"], stderr = PIPE, env = env)
+ pid = Popen([rpath, '--vanilla','--slave', "--encoding=UTF-8","-f %s" % rcode], stderr = PIPE, env = env, encoding='UTF-8')
return pid
def check_Rresult(parent, pid) :
error[1] = 'None'
parent.Rerror = '\n'.join([str(pid.returncode), '\n'.join(error)])
try :
- raise Exception('\n'.join([u'Erreur R', '\n'.join(error[1:])]))
+ raise Exception('\n'.join(['Erreur R', '\n'.join(error[1:])]))
except :
BugReport(parent)
return False
else :
if pid != 0 :
try :
- raise Exception(u'Erreur R')
+ raise Exception('Erreur R')
except :
BugReport(parent)
return False
else :
return True
+
+def launchcommand(mycommand):
+ Popen(mycommand)
+
def print_liste(filename,liste):
- with open(filename,'w') as f :
+ with open(filename,'w', encoding='utf8') as f :
for graph in liste :
- f.write(';'.join(graph)+'\n')
+ f.write(';'.join(graph) +'\n')
-def read_list_file(filename, encoding = sys.getdefaultencoding()):
- with codecs.open(filename,'rU', encoding) as f :
+def read_list_file(filename, encoding = 'utf8'):
+ with open(filename,'r', encoding='utf8') as f:
content=f.readlines()
ncontent=[line.replace('\n','').split(';') for line in content if line.strip() != '']
return ncontent
-
-
-
-def progressbar(self, maxi) :
+def progressbar(self, maxi):
ira = wx.GetApp().GetTopWindow()
parent = ira
- try :
+ try:
maxi = int(maxi)
- except :
+ except:
maxi = 1
prog = wx.ProgressDialog("Traitements",
"Veuillez patienter...",
parent=parent,
style=wx.PD_APP_MODAL | wx.PD_AUTO_HIDE | wx.PD_ELAPSED_TIME | wx.PD_CAN_ABORT
)
+ # parent ???
+ # le ABORT n'est pas géré à tous les coups ???
prog.SetSize((400,150))
- prog.SetIcon(ira._icon)
+ #prog.SetIcon(ira._icon)
return prog
def treat_var_mod(variables) :
for var in vars :
mods = ['_'.join(v) for v in varmod if v[0] == var]
var_mod[var] = mods
-
+
# for variable in variables :
-# if u'_' in variable :
-# forme = variable.split(u'_')
+# if '_' in variable :
+# forme = variable.split('_')
# var = forme[0]
# mod = forme[1]
# if not var in var_mod :
listmot = [corpus.getlems()[lem].formes for lem in mots]
listmot = [corpus.getforme(fid).forme for lem in listmot for fid in lem]
mothtml = ['<font color=red><b>%s</b></font>' % mot for mot in listmot]
- dmots = dict(zip(listmot, mothtml))
+ dmots = dict(list(zip(listmot, mothtml)))
for uce in uces :
ucetxt = ucestxt1[uce].split()
ucetxt = ' '.join([dmots.get(mot, mot) for mot in ucetxt])
if not uci :
- ucis_txt.append('<p><b>' + ' '.join(corpus.ucis[corpus.getucefromid(uce).uci].etoiles) + '</b></p>')
+ uciid = corpus.getucefromid(uce).uci
+ ucis_txt.append('<p><b>' + ' '.join(corpus.ucis[corpus.getucefromid(uce).uci].etoiles) + '<a href="%i_%i"> *%i_%i</a></b></p>' % (uciid, uce, uciid, uce))
else :
ucis_txt.append('<p><b>' + ' '.join(corpus.ucis[uce].etoiles) + '</b></p>')
ucestxt.append(ucetxt)
return ucis_txt, ucestxt
-
+
def getallstcarac(corpus, analyse) :
pathout = PathOut(analyse['ira'])
- profils = ReadProfileAsDico(pathout['PROFILE_OUT'], Alceste, self.encoding)
- print profils
+ profils = ReadProfileAsDico(pathout['PROFILE_OUT'], Alceste, 'utf8')
+ print(profils)
+
+def read_chd(filein, fileout):
+ with open(filein, 'r') as f :
+ content = f.read()
+ #content = [line[3:].replace('"',"").replace(' ','') for line in content.splitlines()]
+ content = [line.split('\t') for line in content.splitlines()]
+ chd = {'name':1, 'children':[]}
+ mere={}
+ for i, line in enumerate(content) :
+ if i == 0 :
+ chd['children'] = [{'name': line[1],'size' : content[i+1][0]}, {'name':line[2], 'size': content[i+1][1]}]
+ mere[line[1]] = chd['children'][0]
+ mere[line[2]] = chd['children'][1]
+ elif not i % 2 :
+ if 'children' in mere[line[0]]:
+ mere[line[0]]['children'].append({'name': line[1],'size' : content[i+1][0]})
+ mere[line[1]] = mere[line[0]]['children'][-1]
+ mere[line[0]]['children'].append({'name': line[2],'size' : content[i+1][1]})
+ mere[line[2]] = mere[line[0]]['children'][-1]
+ else :
+ mere[line[0]]['children'] = [{'name': line[1],'size' : content[i+1][0]}, {'name':line[2], 'size': content[i+1][1]}]
+ mere[line[1]] = mere[line[0]]['children'][-2]
+ mere[line[2]] = mere[line[0]]['children'][-1]
+ with open(fileout, 'w') as f :
+ f.write(json.dumps(chd))
+
+
+translation_languages = {"Afrikaans":"af", "Albanian":"sq", "Amharic":"am", "Arabic":"ar", "Armenian":"hy", "Azeerbaijani":"az", "Basque":"eu", "Belarusian":"be", "Bengali":"bn", "Bosnian":"bs", "Bulgarian":"bg", "Catalan":"ca", "Cebuano":"ceb", "Chichewa":"ny", "Chinese (Simplified)":"zh-CN", "Chinese (Traditional)":"zh-TW", "Corsican":"co", "Croatian":"hr", "Czech":"cs", "Danish":"da", "Dutch":"nl", "English":"en", "Esperanto":"eo", "Estonian":"et", "Filipino":"tl", "Finnish":"fi", "French":"fr", "Frisian":"fy", "Galician":"gl", "Georgian":"ka", "German":"de", "Greek":"el", "Gujarati":"gu", "Haitian Creole":"ht", "Hausa":"ha", "Hawaiian":"haw", "Hebrew":"iw", "Hindi":"hi", "Hmong":"hmn ", "Hungarian":"hu", "Icelandic":"is", "Igbo":"ig", "Indonesian":"id", "Irish":"ga", "Italian":"it", "Japanese":"ja", "Javanese":"jw", "Kannada":"kn", "Kazakh":"kk", "Khmer":"km", "Korean":"ko", "Kurdish":"ku", "Kyrgyz":"ky", "Lao":"lo", "Latin":"la", "Latvian":"lv", "Lithuanian":"lt", "Luxembourgish":"lb", "Macedonian":"mk", "Malagasy":"mg", "Malay":"ms", "Malayalam":"ml", "Maltese":"mt", "Maori":"mi", "Marathi":"mr", "Mongolian":"mn", "Burmese":"my", "Nepali":"ne", "Norwegian":"no", "Pashto":"ps", "Persian":"fa", "Polish":"pl", "Portuguese":"pt", "Punjabi":"ma", "Romanian":"ro", "Russian":"ru", "Samoan":"sm", "Scots Gaelic":"gd", "Serbian":"sr", "Sesotho":"st", "Shona":"sn", "Sindhi":"sd", "Sinhala":"si", "Slovak":"sk", "Slovenian":"sl", "Somali":"so", "Spanish":"es", "Sundanese":"su", "Swahili":"sw", "Swedish":"sv", "Tajik":"tg", "Tamil":"ta", "Telugu":"te", "Thai":"th", "Turkish":"tr", "Ukrainian":"uk", "Urdu":"ur", "Uzbek":"uz", "Vietnamese":"vi", "Welsh":"cy", "Xhosa":"xh", "Yiddish":"yi", "Yoruba":"yo", "Zulu":"zu", }
+
+
+def gettranslation(words, lf, lt) :
+ import urllib.request, urllib.error, urllib.parse
+ import json
+ agent = {'User-Agent':
+ "Mozilla/4.0 (\
+ compatible;\
+ MSIE 6.0;\
+ Windows NT 5.1;\
+ SV1;\
+ .NET CLR 1.1.4322;\
+ .NET CLR 2.0.50727;\
+ .NET CLR 3.0.04506.30\
+ )"}
+ base_link = "https://translate.googleapis.com/translate_a/single?client=gtx&sl=%s&tl=%s&dt=t&q=%s"
+ print(len(words))
+ totrans = urllib.parse.quote('\n'.join(words))
+ link = base_link % (lf, lt, totrans)
+ request = urllib.request.Request(link, headers=agent)
+ raw_data = urllib.request.urlopen(request).read()
+ data = json.loads(raw_data)
+ return [line[0].replace("'", '_').replace(' | ', '|').replace(' ', '_').replace('-','_').replace('\n','') for line in data[0]]
+
+def makenprof(prof, trans, deb=0) :
+ nprof=[]
+ if deb == 0 :
+ nprof.append(prof[0])
+ for i, val in enumerate(trans) :
+ line = prof[deb+i+1][:]
+ line[6] = val
+ nprof.append(line)
+ return nprof
+
+def treatempty(val) :
+ if val.strip() == '' :
+ return '_'
+ else :
+ return val
+
+def translateprofile(corpus, dictprofile, lf='it', lt='fr', maxword = 50) :
+ nprof = {}
+ lems = {}
+ for i in range(len(dictprofile)) :
+ prof = dictprofile[repr(i+1)]
+ try :
+ lenact = prof.index(['*****', '*', '*', '*', '*', '*', '', ''])
+ lensup = -1
+ except ValueError:
+ try :
+ lenact = prof.index(['*', '*', '*', '*', '*', '*', '', ''])
+ lensup = 0
+ except ValueError:
+ lenact = len(prof)
+ lensup = 0
+ try :
+ lensup += prof.index(['*', '*', '*', '*', '*', '*', '', ''])
+ lensup = lensup - lenact
+ except ValueError:
+ lensup += len(prof) - lenact
+ if lenact != 0 :
+ if lenact > maxword :
+ nlenact = maxword
+ else :
+ nlenact = lenact
+ actori = [line[6] for line in prof[1:nlenact]]
+ act = [val.replace('_', ' ') for val in actori]
+ act = gettranslation(act, lf, lt)
+ for j, val in enumerate(actori) :
+ if act[j] not in lems :
+ lems[act[j]] = val
+ else :
+ while act[j] in lems :
+ act[j] = act[j] + "+"
+ lems[act[j]] = val
+ nprof[repr(i+1)] = makenprof(prof, act)
+
+ if lensup != 0 :
+ if lensup > maxword :
+ nlensup = maxword
+ else :
+ nlensup = lensup
+ supori = [line[6] for line in prof[(1+lenact):(lenact+nlensup)]]
+ sup = [val.replace('_', ' ') for val in supori]
+ sup = [treatempty(val) for val in sup]
+ sup = gettranslation(sup, lf, lt)
+ for j, val in enumerate(supori) :
+ if sup[j] not in lems :
+ lems[sup[j]] = val
+ else :
+ while sup[j] in lems :
+ sup[j] = sup[j] + "+"
+ lems[sup[j]] = val
+ nprof[repr(i+1)].append(['*****', '*', '*', '*', '*', '*', '', ''])
+ nprof[repr(i+1)] += makenprof(prof, sup, deb=lenact)
+
+ try :
+ lenet = prof.index(['*', '*', '*', '*', '*', '*', '', ''])
+ nprof[repr(i+1)].append(['*', '*', '*', '*', '*', '*', '', ''])
+ nprof[repr(i+1)] += prof[(lenet+1):]
+ except :
+ pass
+ return nprof, lems
+
+def write_translation_profile(prof, lems, language, dictpathout) :
+ if os.path.exists(dictpathout['translations.txt']) :
+ with open(dictpathout['translations.txt'], 'r', encoding='utf8') as f :
+ translist = f.read()
+ translist = [line.split('\t') for line in translist.splitlines()]
+ else :
+ translist = []
+ toprint = []
+ toprint.append(['','','','','',''])
+ toprint.append(['***', 'nb classes', repr(len(prof)), '***', '', ''])
+ for i in range(len(prof)) :
+ toprint.append(['**', 'classe', repr(i+1), '**', '', ''])
+ toprint.append(['****'] + prof[repr(i+1)][0] + ['****'])
+ rest = [[repr(line[1]), repr(line[2]), repr(line[3]), repr(line[4]), line[6], line[7].replace('< 0,0001', '0.00009').replace('NS (','').replace(')','')] for line in prof[repr(i+1)][1:]]
+ for i, line in enumerate(prof[repr(i+1)][1:]) :
+ if line[0] == '*' :
+ rest[i] = ['*', '*', '*', '*', '*', '*']
+ elif line[0] == '*****' :
+ rest[i] = ['*****','*','*', '*', '*', '*']
+ toprint += rest
+ with open(dictpathout['translation_profile_%s.csv' % language], 'w', encoding='utf8') as f :
+ f.write('\n'.join([';'.join(line) for line in toprint]))
+ with open(dictpathout['translation_words_%s.csv' % language], 'w', encoding='utf8') as f :
+ f.write('\n'.join(['\t'.join([val, lems[val]]) for val in lems]))
+ if 'translation_profile_%s.csv' % language not in [val[0] for val in translist] :
+ translist.append(['translation_profile_%s.csv' % language, 'translation_words_%s.csv' % language])
+ with open(dictpathout['translations.txt'], 'w', encoding='utf8') as f :
+ f.write('\n'.join(['\t'.join(line) for line in translist]))
+
+def makesentidict(infile, language) :
+ with codecs.open(infile,'r', 'utf8') as f :
+ content = f.read()
+ content = [line.split('\t') for line in content.splitlines()]
+ titles = content.pop(0)
+ senti = ['Positive', 'Negative', 'Anger', 'Anticipation', 'Disgust', 'Fear', 'Joy', 'Sadness', 'Surprise', 'Trust']
+ sentid = {}
+ for sent in senti :
+ sentid[sent] = titles.index(sent)
+ frtitle = [val for val in titles if '(fr)' in val]
+ frid = titles.index(frtitle[0])
+ sentidict = [[line[frid].lower(), [line[sentid[sent]] for sent in senti]] for line in content]
+ pos = ['positive'] + [line[0] for line in sentidict if line[1][0] == '1']
+ neg = ['negative'] + [line[0] for line in sentidict if line[1][1] == '1']
+ anger = ['anger'] + [line[0] for line in sentidict if line[1][2] == '1']
+ anticipation = ['anticipation'] + [line[0] for line in sentidict if line[1][3] == '1']
+ disgust = ['disgust'] + [line[0] for line in sentidict if line[1][4] == '1']
+ fear = ['fear'] + [line[0] for line in sentidict if line[1][5] == '1']
+ joy = ['joy'] + [line[0] for line in sentidict if line[1][6] == '1']
+ sadness = ['sadness'] + [line[0] for line in sentidict if line[1][7] == '1']
+ surprise = ['surprise'] + [line[0] for line in sentidict if line[1][8] == '1']
+ trust = ['trust'] + [line[0] for line in sentidict if line[1][9] == '1']
+ with open('/tmp/tgenemo.csv', 'w') as f :
+ for val in [pos, neg, anger, anticipation, disgust, fear, joy, sadness, surprise, trust] :
+ f.write('\t'.join(val) + '\n')
+
+def countsentfromprof(prof, encoding, sentidict) :
+ with codecs.open(prof, 'r', encoding) as f :
+ content = f.read()
+ content = [line.split(';') for line in content.splitlines()]
+ print(content)
+ content = [[line[0], [int(val) for val in line[1:]]] for line in content]
+ print(content)
+ content = dict(content)
+ print(content)
+
+def iratolexico(infile, outfile, encoding) :
+ with codecs.open(infile, 'r', encoding) as f :
+ for line in f :
+ if line.startswith('**** ') :
+ line = line.split()
+
projects / iramuteq / blobdiff