#events
#self.Bind(wx.EVT_LIST_ITEM_SELECTED, self.OnItemSelected)
- #self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnItemActivated)
+ self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnPopupTwo, self)
#self.Bind(wx.EVT_LIST_ITEM_DESELECTED, self.OnItemDeselected)
self.Bind(wx.EVT_LIST_COL_CLICK, self.OnColClick)
#for searching
search_id = wx.NewId()
searchall_id = wx.NewId()
+ concord_id = wx.NewId()
self.parent.Bind(wx.EVT_MENU, self.onsearch, id = search_id)
self.parent.Bind(wx.EVT_MENU, self.onsearchall, id = searchall_id)
self.accel_tbl = wx.AcceleratorTable([(wx.ACCEL_CTRL, ord('F'), search_id),
self.idlexdendro = wx.NewId()
self.idcloud = wx.NewId()
self.idexport = wx.NewId()
+ self.idexporttropes = wx.NewId()
+ self.idexportowledge = wx.NewId()
# self.export_classes = wx.NewId()
self.Bind(wx.EVT_MENU, self.OnPopupOne, id=self.popupID1)
self.Bind(wx.EVT_MENU, self.onlexdendro, id = self.idlexdendro)
self.Bind(wx.EVT_MENU, self.oncloud, id = self.idcloud)
self.Bind(wx.EVT_MENU, self.onexport, id = self.idexport)
+ self.Bind(wx.EVT_MENU, self.onexporttropes, id = self.idexporttropes)
+ self.Bind(wx.EVT_MENU, self.onexportowledge, id = self.idexportowledge)
# self.Bind(wx.EVT_MENU, self.on_export_classes, id = self.export_classes)
# self.Bind(wx.EVT_MENU, self.OnPopupThree, id=self.popupID3)
menu.Append(self.iducecarac, u"Segments de texte caractéristiques")
menu.Append(self.idcloud, u"Nuage de la classe")
menu.Append(self.idexport, u'Exporter...')
+ menu.Append(self.idexporttropes, 'Exporter pour Tropes')
+ menu.Append(self.idexportowledge, 'Exporter pour Owledge')
#menu.Append(self.popupID2, u"Concordancier")
# menu.Append(self.popupID3, "recharger")
def onexport(self, evt) :
if 'corpus' in dir(self.Source):
corpus = self.Source.corpus
- corpus.export_classe(self.Source.pathout['classe_%i_export.txt' % self.cl], self.cl)
+ if self.Source.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
+ corpus.export_classe(self.Source.pathout['classe_%i_export.txt' % self.cl], self.cl, uci = uci)
dial = wx.MessageDialog(self, self.Source.pathout['classe_%i_export.txt' % self.cl], u"Export", wx.OK|wx.ICON_INFORMATION)
dial.ShowModal()
dial.Destroy()
#if 'corpus' in dir(self.Source):
# corpus = self.Source.corpus
#ClasseCHD(self.parent, corpus, self.cl)
+
+ def onexporttropes(self, evt) :
+ if 'corpus' in dir(self.Source):
+ corpus = self.Source.corpus
+ if self.Source.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
+ fileout = self.Source.pathout['export_tropes_classe_%i.txt' % self.cl]
+ corpus.export_tropes(fileout, self.cl, uci = uci)
+
+ def onexportowledge(self, evt):
+ if 'corpus' in dir(self.Source):
+ corpus = self.Source.corpus
+ if self.Source.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
+ repout = self.Source.pathout['export_owledge_classe_%i' % self.cl]
+ if not os.path.exists(repout) :
+ os.mkdir(repout)
+ corpus.export_owledge(repout, self.cl, uci = uci)
def getselectedwords(self) :
words = [self.getColumnText(self.GetFirstSelected(), 6)]
def quest_simi(self, evt) :
tableau = self.Source.tableau
+ tab = tableau.make_table_from_classe(self.cl, self.la)
+ pathout = ConstructPathOut(self.Source.pathout.dirout, 'simi_classe_%i' %self.cl)
if self.tmpchi is None :
- self.tmpchi = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
+ self.tmpchi = os.path.join(pathout,'chi.csv')
with open(self.tmpchi, 'w') as f:
f.write('\n'.join([str(val) for val in self.lchi]))
- tab = tableau.make_table_from_classe(self.cl, self.la)
- pathout = ConstructPathOut(self.Source.pathout.dirout, 'simi_classe_%i' %self.cl)
self.filename = os.path.join(pathout,'mat01.csv')
tableau.printtable(self.filename, tab)
del tab
act = {}
tableau.chi = {}
tableau.lchi = self.lchi
- tableau.parametre['fromprof'] = True
+ tableau.parametres['fromprof'] = True
for i, val in enumerate(self.la) :
act[val] = [self.lfreq[i]]
tableau.chi[val] = [self.lchi[i]]
def onwordgraph(self, evt):
word = self.getColumnText(self.GetFirstSelected(), 6)
if self.tmpchi is None :
- self.tmpchi = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
+ self.tmpchi = os.path.join(self.Source.parametres['pathout'],'chi_%i.csv' % self.cl)
with open(self.tmpchi, 'w') as f:
f.write('\n'.join([str(val) for val in self.lchi]))
index = self.la.index(word)
def on_graph(self, evt):
if self.tmpchi is None :
- self.tmpchi = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
+ self.tmpchi = os.path.join(self.Source.parametres['pathout'],'chi_%i.csv' % self.cl)
with open(self.tmpchi, 'w') as f:
f.write('\n'.join([str(val) for val in self.lchi]))
parametres = {'type' : 'clustersimitxt',
dlg = progressbar(self, 2)
corpus = self.Source.corpus
uces = corpus.lc[self.cl-1]
+ if self.Source.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
l = []
dlg.Update(1, u'Segments...')
for i in range(2,10) :
- li = corpus.find_segments_in_classe(uces, i, 1000)
+ li = corpus.find_segments_in_classe(uces, i, 1000, uci = uci)
if li == [] :
break
else :
dlg = progressbar(self,maxi = 4)
corpus = self.Source.corpus
uces = corpus.lc[self.cl-1]
- tab = corpus.make_table_with_classe(uces, self.la)
+ if self.Source.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
+ tab = corpus.make_table_with_classe(uces, self.la, uci = uci)
tab.pop(0)
dlg.Update(2, u'score...')
if atype == 0 :
ntab2 = ntab2[:limite]
nuces = [val[1] for val in ntab2]
dlg.Update(3, u'concordancier...')
- ucis_txt, ucestxt = doconcorde(corpus, nuces, self.la)
+ ucis_txt, ucestxt = doconcorde(corpus, nuces, self.la, uci = uci)
+ items = dict([[i, '<br>'.join([ucis_txt[i], '<table bgcolor = #1BF0F7 border=0><tr><td><b>score : %.2f</b></td></tr></table><br>' % ntab2[i][0], ucestxt[i]])] for i in range(0,len(ucestxt))])
dlg.Update(4, u'texte...')
- win = message(self, u"Segments de texte caractéristiques - Classe %i" % self.cl, (750, 600))
- win.html = '<html>\n' + '<br>'.join(['<br>'.join([ucis_txt[i], '<table bgcolor = #1BF0F7 border=0><tr><td><b>score : %.2f</b></td></tr></table>' % ntab2[i][0], ucestxt[i]]) for i in range(0,len(ucestxt))]) + '\n</html>'
- win.HtmlPage.SetPage(win.html)
+ win = message(self, items, u"Segments de texte caractéristiques - Classe %i" % self.cl, (750, 600))
+
#win.html = '<html>\n' + '<br>'.join(['<br>'.join([ucis_txt[i], '<table bgcolor = #1BF0F7 border=0><tr><td><b>score : %.2f</b></td></tr></table>' % ntab2[i][0], ucestxt[i]]) for i in range(0,len(ucestxt))]) + '\n</html>'
+ #win.HtmlPage.SetPage(win.html)
dlg.Destroy()
win.Show(True)
win.HtmlPage.SetPage(txt)
win.Show(True)
-
def make_concord(self, uces, title, color = 'red') :
corpus = self.Source.corpus
ListWord = [self.getColumnText(self.GetFirstSelected(), 6)]
last = self.GetNextSelected(last)
ListWord.append(self.getColumnText(last, 6))
ucef = []
- for word in ListWord :
- ucef += list(set(corpus.getlemuces(word)).intersection(uces))
- ucis_txt, ucestxt = doconcorde(corpus, ucef, ListWord)
- win = message(self, title, size=(750, 600))
- win.html = ('<html>\n<h1>%s</h1>' % ' '.join(ListWord)) + '<br>'.join(['<br>'.join([ucis_txt[i], ucestxt[i]]) for i in range(0,len(ucestxt))]) + '\n</html>'
- win.HtmlPage.SetPage(win.html)
+ if self.Source.parametres['classif_mode'] != 2 :
+ for word in ListWord :
+ uci = False
+ ucef += list(set(corpus.getlemuces(word)).intersection(uces))
+ else :
+ for word in ListWord :
+ ucef += list(set(corpus.getlemucis(word)).intersection(uces))
+ uci = True
+ ucis_txt, ucestxt = doconcorde(corpus, ucef, ListWord, uci = uci)
+ items = dict([[i, '<br><br>'.join([ucis_txt[i], ucestxt[i]])] for i in range(0,len(ucestxt))])
+ win = message(self, items, title, (800, 500))
+ #win = message(self, title, size=(750, 600))
+ #win.html = ('<html>\n<h1>%s</h1>' % ' '.join(ListWord)) + '<br>'.join(['<br>'.join([ucis_txt[i], ucestxt[i]]) for i in range(0,len(ucestxt))]) + '\n</html>'
+ #win.HtmlPage.SetPage(win.html)
return win
def OnPopupTwo(self, event):
- corpus = self.Source.corpus
- uces = corpus.lc[self.cl-1]
- win = self.make_concord(uces, "Concordancier - Classe %i" % self.cl)
- win.Show(True)
+ if 'corpus' in dir(self.Source) :
+ corpus = self.Source.corpus
+ uces = corpus.lc[self.cl-1]
+ win = self.make_concord(uces, "Concordancier - Classe %i" % self.cl)
+ win.Show(True)
def OnPopupThree(self, event):
corpus = self.Source.corpus
rep = []
#FIXME : donner aussi eff reel a la place de nb uce
for forme in lems[word].formes :
- ucef = list(set(corpus.getworduces(forme)).intersection(uces))
+ if self.Source.parametres['classif_mode'] != 2 :
+ ucef = list(set(corpus.getworduces(forme)).intersection(uces))
+ else :
+ ucef = list(set(corpus.getworducis(forme)).intersection(uces))
#ucef = [uce for uce in corpus.formes[forme][1] if uce in uces]
if ucef != [] :
nb = len(ucef)
rep.append([corpus.getforme(forme).forme, nb])
rep.sort(key = itemgetter(1), reverse = True)
- win = message(self, u"Formes associées", wx.Size(300, 200))
- win.html = '<html>\n' + '<br>'.join([' : '.join([str(val) for val in forme]) for forme in rep]) + '\n</html>'
- win.HtmlPage.SetPage(win.html)
+ #win = message(self, u"Formes associées", wx.Size(300, 200))
+ items = dict([[i, '\t:\t'.join([str(val) for val in forme])] for i, forme in enumerate(rep)])
+ win = message(self, items, u"Formes associées", (300, 200))
+ #win.html = '<html>\n' + '<br>'.join([' : '.join([str(val) for val in forme]) for forme in rep]) + '\n</html>'
+ #win.HtmlPage.SetPage(win.html)
win.Show(True)
projects / iramuteq / blobdiff