ID_HTMLcontent = wx.NewId()
ID_SimiTxt = wx.NewId()
ID_proto = wx.NewId()
+ID_ImportTXM = wx.NewId()
##########################################################
#elements de configuration
##########################################################
menuFactiva.AppendItem(fact_from_xml)
menuFactiva.AppendItem(fact_from_mail)
menuFactiva.AppendItem(fact_from_txt)
- file_menu.AppendMenu(-1, _(u"Import from factiva"), menuFactiva)
+ file_menu.AppendMenu(-1, _(u"Import from factiva").decode('utf8'), menuFactiva)
+
+ item = wx.MenuItem(file_menu, ID_ImportTXM, _(u"Import from TXM").decode('utf8'), _(u"Import from TXM").decode('utf8'))
+ item.SetBitmap(wx.ArtProvider_GetBitmap(wx.ART_FILE_OPEN))
+ file_menu.AppendItem(item)
menuTools = wx.Menu()
splitvar = wx.MenuItem(menuTools, wx.ID_ANY, _(u"Split from variable").decode('utf8'))
item.SetBitmap(wx.ArtProvider_GetBitmap(wx.ART_FILE_SAVE_AS))
file_menu.AppendItem(item)
- file_menu.Append(wx.ID_EXIT, _(u"Exit"))
+ file_menu.Append(wx.ID_EXIT, _(u"Exit").decode('utf8'))
edit_menu = wx.Menu()
edit_menu.Append(wx.ID_PREFERENCES, '', _(u'Preferences').decode('utf8'))
#view_menu.AppendSeparator()
analyse_menu = wx.Menu()
- analyse_menu.Append(ID_Freq, u"Fréquences")
- analyse_menu.Append(ID_Chi2, u"Chi2")
+ analyse_menu.Append(ID_Freq, _(u"Frequencies").decode('utf8'))
+ analyse_menu.Append(ID_Chi2, _(u"Chi2").decode('utf8'))
#analyse_menu.Append(ID_Student, u"t de Student")
menu_classif = wx.Menu()
- menu_classif.Append(ID_CHDAlceste, u"Méthode GNEPA")
+ menu_classif.Append(ID_CHDAlceste, _(u"Reinert Method").decode('utf8'))
#menu_classif.Append(ID_CHDSIM, u"Par matrice des distances")
- analyse_menu.AppendMenu(-1, u"Classification", menu_classif)
+ analyse_menu.AppendMenu(-1, _(u"Clustering").decode('utf8'), menu_classif)
#analyse_menu.Append(ID_AFCM, u"AFCM")
- analyse_menu.Append(ID_SIMI, u"Analyse de similitudes")
- analyse_menu.Append(ID_proto, _(u"Prototypical analysis"))
+ analyse_menu.Append(ID_SIMI, _(u"Similarities Analysis").decode('utf8'))
+ analyse_menu.Append(ID_proto, _(u"Prototypical analysis").decode('utf8'))
ID_RCODE = wx.NewId()
analyse_menu.Append(ID_RCODE, u"Code R...")
text_menu = wx.Menu()
#text_menu.Append(ID_CHECKCORPUS, u"Vérifier le corpus")
- text_menu.Append(ID_TEXTSTAT, u"Statistiques textuelles")
- text_menu.Append(ID_ASLEX, u"Spécificités et AFC")
+ text_menu.Append(ID_TEXTSTAT, _(u"Statistics").decode('utf8'))
+ text_menu.Append(ID_ASLEX, _(u"Specificities and CA").decode('utf8'))
#text_menu.Append(ID_TEXTAFCM, u"AFC sur UCI / Vocabulaire")
menu_classiftxt = wx.Menu()
- menu_classiftxt.Append(ID_TEXTALCESTE, u"Méthode GNEPA")
+ menu_classiftxt.Append(ID_TEXTALCESTE, _(u"Reinert Method").decode('utf8'))
#menu_classiftxt.Append(ID_TEXTPAM, u"Par matrice des distances")
- text_menu.AppendMenu(-1, u"Classification", menu_classiftxt)
- text_menu.Append(ID_SimiTxt, u'Analyse de similitude')
+ text_menu.AppendMenu(-1, _(u"Clustering").decode('utf8'), menu_classiftxt)
+ text_menu.Append(ID_SimiTxt, _(u"Similarities Analysis").decode('utf8'))
ID_WC = wx.NewId()
- text_menu.Append(ID_WC, u'Nuage de mots')
+ text_menu.Append(ID_WC, _(u"WordCloud").decode('utf8'))
help_menu = wx.Menu()
- help_menu.Append(wx.ID_ABOUT, u'À propos...')
- help_menu.Append(wx.ID_HELP, u'Aide en ligne')
+ help_menu.Append(wx.ID_ABOUT, _(u"About...").decode('utf8'))
+ help_menu.Append(wx.ID_HELP, _(u"Inline help...").decode('utf8'))
self.mb.Append(file_menu, _(u"File").decode('utf8'))
self.mb.Append(edit_menu, _(u"Edition").decode('utf8'))
self.mb.Append(view_menu, _(u"View").decode('utf8'))
- self.mb.Append(analyse_menu, _("Spreadsheet analysis").decode('utf8'))
+ self.mb.Append(analyse_menu, _("Matrix analysis").decode('utf8'))
self.mb.Append(text_menu, _(u"Text analysis").decode('utf8'))
self.mb.Append(help_menu, _(u"Help").decode('utf8'))
self.Bind(wx.EVT_MENU, self.OnAbout, id=wx.ID_ABOUT)
self.Bind(wx.EVT_MENU, self.OnHelp, id=wx.ID_HELP)
self.Bind(wx.EVT_MENU, self.OnPref, id=wx.ID_PREFERENCES)
+ self.Bind(wx.EVT_MENU, self.OnImportTXM, id=ID_ImportTXM)
self.Bind(wx.EVT_CLOSE, self.OnClose)
##################################################################
flags = self._mgr.GetAGWFlags()
##############################################################@
self.DisEnSaveTabAs(False)
- self.ShowMenu(_("View"), False)
- self.ShowMenu(_("Spreadsheet analysis"), False)
- self.ShowMenu(_("Text analysis"), False)
+ self.ShowMenu(_("View").decode('utf8'), False)
+ self.ShowMenu(_("Matrix analysis").decode('utf8'), False)
+ self.ShowMenu(_("Text analysis").decode('utf8'), False)
self._mgr.Update()
OpenAnalyse(self, corpus.parametres)
except :
BugReport(self)
- #self.content = DoConf().totext(corpus.parametres)
-# parametres = DoConf(os.path.join(UserConfigPath,'corpus.cfg')).getoptions('corpus')
-# parametres['originalpath'] = self.filename
-#
-# parametres['pathout'] = PathOut(self.filename, 'corpus').dirout
-# dial = CorpusPref(self, parametres)
-# dial.CenterOnParent()
-# dial.txtpath.SetLabel(self.filename)
-# res = dial.ShowModal()
-# parametres = dial.doparametres()
-# print parametres
-# ReadLexique(self, lang = parametres['lang'])
-# self.expressions = ReadDicoAsDico(self.DictPath.get(parametres['lang'], 'french_exp'))
-# corpus = BuildFromAlceste(self.filename, parametres, self.lexique, self.expressions).corpus
- #self.corpus_encodage = dial.encodages[dial.list_encodages.GetSelection()][0]
- #self.corpus_lang = dial.langues[dial.choice_dict.GetSelection()]
else :
count = 1
keepGoing = dlg.Update(count, u"Lecture du fichier")
- # msg = u"Ce fichier ne semble pas être encodé en %s" % self.corpus_encodage
- # dial = wx.MessageDialog(self, msg, u"Problème d'encodage", wx.OK | wx.NO_DEFAULT | wx.ICON_WARNING)
- # dial.CenterOnParent()
- # res = dial.ShowModal()
- # dial.Destroy()
- # self.OpenText()
- self.ShowMenu(_("View"))
- self.ShowMenu(_("Text analysis"))
- self.ShowMenu(_(u"Spreadsheet analysis"), False)
+ self.ShowMenu(_(u"View").decode('utf8'))
+ self.ShowMenu(_(u"Text analysis").decode('utf8'))
+ self.ShowMenu(_(u"Matrix analysis").decode('utf8'), False)
self.type = "Texte"
self.DataTxt = False
self.Text = ''
except:
BugReport(self)
-# def OnCheckcorpus(self, evt):
-# try :
-# checkcorpus(self)
-# except :
-# BugReport(self)
-
def OnTextStat(self, event, corpus = None):
#print 'PAS DE BUG SUR TEXT STAT'
try:
except :
BugReport(self)
+ def OnImportTXM(self, evt) :
+ try :
+ ImportFactiva(self, 'txm')
+ except :
+ BugReport(self)
+
def ExtractTools(self, evt) :
ID = evt.GetId()
if ID == self.ID_splitvar :