#from tabsimi import DoSimi
from listlex import ListForSpec
from chemins import ConstructPathOut, ffr
-from dialog import PrefExport, PrefUCECarac, SearchDial, message
-from tableau import Tableau
+from dialog import PrefUCECarac, SearchDial, message, BarFrame
+from tableau import copymatrix
from search_tools import SearchFrame
import webbrowser
#import cStringIO
import tempfile
import codecs
-from functions import exec_rcode, MessageImage, progressbar, treat_var_mod
+from functions import progressbar, treat_var_mod, doconcorde
from PrintRScript import barplot
from textclassechd import ClasseCHD
from shutil import copyfile
+from operator import itemgetter
+from copy import copy
#---------------------------------------------------------------------------
class ProfListctrlPanel(wx.ListCtrl, listmix.ListCtrlAutoWidthMixin, listmix.ColumnSorterMixin):
self.Source = gparent
self.cl = cl
self.var_mod = {}
+ self.them_mod = {}
+ self.ira = wx.GetApp().GetTopWindow()
line1 = profclasse.pop(0)
classen = [line for line in profclasse if line[0] != '*' and line[0] != '*****']
self.InsertColumn(0, "num", wx.LIST_FORMAT_RIGHT)
- self.InsertColumn(1, "eff. uce", wx.LIST_FORMAT_RIGHT)
+ self.InsertColumn(1, "eff. s.t.", wx.LIST_FORMAT_RIGHT)
self.InsertColumn(2, "eff. total", wx.LIST_FORMAT_RIGHT)
self.InsertColumn(3, "pourcentage", wx.LIST_FORMAT_RIGHT)
self.InsertColumn(4, "chi2", wx.LIST_FORMAT_RIGHT)
#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),
def onsearch(self, evt) :
self.dial = SearchDial(self, self, 6, True)
self.dial.CenterOnParent()
- self.dial.ShowModal()
- self.dial.Destroy()
+ self.dial.Show()
+ #self.dial.Destroy()
def onsearchall(self, evt) :
if 'FrameSearch' not in dir(self.Source) :
self.Source.FrameSearch = SearchFrame(self.parent, -1, u"Rechercher...", self.Source.corpus)
self.dial = SearchDial(self, self.Source.FrameSearch.liste, 1, False)
self.dial.CenterOnParent()
- self.dial.ShowModal()
- self.dial.Destroy()
+ self.dial.Show()
+ #self.dial.Destroy()
def OnRightClick(self, event):
self.idwordgraph = wx.NewId()
self.popup_proxe = wx.NewId()
self.idlexdendro = wx.NewId()
+ self.idcloud = wx.NewId()
self.idexport = wx.NewId()
+ self.idexporttropes = wx.NewId()
+ self.idexportowledge = wx.NewId()
+ self.onmaketgen = wx.NewId()
# self.export_classes = wx.NewId()
self.Bind(wx.EVT_MENU, self.OnPopupOne, id=self.popupID1)
self.Bind(wx.EVT_MENU, self.onwordgraph, id = self.idwordgraph)
self.Bind(wx.EVT_MENU, self.onproxe, id = self.popup_proxe)
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.OnMakeTgen, id=self.onmaketgen)
# 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.popupID10, u"Spécificités")
menu_conc = wx.Menu()
- menu_conc.Append(self.popupID2, u"dans les uce de la classe")
- menu_conc.Append(self.popupID3, u"dans les uce classées")
- menu_conc.Append(self.popupID4, u"dans toutes les uce")
- menu.AppendMenu(-1, u"Concordancier", menu_conc)
+ menu_conc.Append(self.popupID2, u"dans les segments de texte de la classe")
+ menu_conc.Append(self.popupID3, u"dans les segments de texte classés")
+ menu_conc.Append(self.popupID4, u"dans tous les segments de texte")
+ menu.AppendMenu(-1, u"Concordancier", menu_conc)
+ menu.Append(self.onmaketgen, _(u"Make Tgen").decode('utf8'))
menu_cnrtl = wx.Menu()
menu_cnrtl.Append(self.popupID5, u"Définition")
menu_cnrtl.Append(self.popupID6, u"Etymologie")
menu.AppendSeparator()
menu.Append(self.popupIDgraph, u"Graphe de la classe")
menu.Append(self.idseg, u"Segments répétés")
- menu.Append(self.iducecarac, u"UCE caractéristiques")
- menu.Append(self.idexport, 'Exporter...')
+ 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")
menu.Append(self.pop2, u"Chi2 par classe")
menu.Append(self.pop3, u"Chi2 modalités de la variable")
menu.AppendSeparator()
- menu.Append(self.pop1, u"Graph de la classe")
+ menu.Append(self.pop1, u"Graphe de la classe")
self.PopupMenu(menu)
menu.Destroy()
+ def oncloud(self, evt) :
+ if 'corpus' in dir(self.Source):
+ corpus = self.Source.corpus
+ prof = [[self.la[i], self.lchi[i], self.lfreq[i]] for i, val in enumerate(self.la)]
+ parametres = copy(self.Source.parametres)
+ parametres['clusterprof'] = prof
+ parametres['type'] = 'clustercloud'
+ parametres['prof'] = self.Source.pathout['actprof_classe_%i.csv' % self.cl]
+ del parametres['uuid']
+ #if not os.path.exists(self.Source.pathout['actprof_classe_%i.csv' % self.lc]) :
+ # with open(self.Source.pathout['actprof_classe_%i.csv' % self.lc], 'w') as f :
+ # f.write('\n'.join(prof).encode(self.parent.syscoding))
+ self.parent.OnClusterCloud(self.Source.corpus, parametres = parametres)
+
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)
- dial = wx.MessageDialog(self, self.Source.pathout['classe_%i_export.txt' % self.cl], u"Export", wx.ID_OK|wx.ICON_INFORMATION)
+ 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)]
words.append(self.getColumnText(last, 6))
return words
- def quest_var_mod(self, evt) :
+ def quest_var_mod(self, evt) :
+ word = self.getselectedwords()[0]
+ if len(word.split('_')) <= 1 :
+ dial = wx.MessageDialog(self, u"Ce n'est pas une forme du type variable_modalité", u"Problème", wx.OK | wx.ICON_WARNING)
+ dial.CenterOnParent()
+ dial.ShowModal()
+ dial.Destroy()
+ return
+
if 'corpus' in dir(self.Source):
corpus = self.Source.corpus
- if self.var_mod == {} :
- self.var_mod = self.Source.corpus.make_etoiles_dict()
+ if word.startswith(u'-*') :
+ if self.them_mod == {} :
+ self.them_mod = self.Source.corpus.make_theme_dict()
+ var_mod = self.them_mod
+ else :
+ if self.var_mod == {} :
+ self.var_mod = self.Source.corpus.make_etoiles_dict()
+ var_mod = self.var_mod
else :
corpus = self.Source.tableau
if self.var_mod == {} :
self.var_mod = treat_var_mod([val for val in corpus.actives] + [val for val in corpus.sups])
+ var_mod = self.var_mod
with codecs.open(self.Source.pathout['chisqtable'], 'r', corpus.parametres['syscoding']) as f :
chistable = [line.replace('\n','').replace('\r','').replace('"','').replace(',','.').split(';') for line in f]
title = chistable[0]
chistable.pop(0)
vchistable = [line[1:] for line in chistable]
fchistable = [line[0] for line in chistable]
- word = self.getselectedwords()[0]
- if len(word.split('_')) > 1 :
- var = word.split('_')
- #words = ['_'.join([var[0],word]) for word in self.var_mod[var[0]]]
- words = [word for word in self.var_mod[var[0]]]
- words.sort()
- tableout = []
- kwords = []
- for word in words :
- if word in fchistable :
- tableout.append(vchistable[fchistable.index(word)])
- kwords.append(word)
- tmpgraph = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
- txt = barplot(tableout, kwords, title, self.Source.parent.RscriptsPath['Rgraph'], tmpgraph)
- tmpscript = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
- file = open(tmpscript,'w')
- file.write(txt)
- file.close()
- exec_rcode(self.Source.parent.RPath, tmpscript, wait = True)
- win = MessageImage(self,u"Graphique", size=(700, 500))
- win.addsaveimage(tmpgraph)
- txt = "<img src='%s'>" % tmpgraph
- win.HtmlPage.SetPage(txt)
- win.Show(True)
- else :
- dial = wx.MessageDialog(self, u"Ce n'est pas une forme du type variable_modalité", u"Problème", wx.OK | wx.ICON_WARNING)
+
+ var = word.split('_')
+ #words = ['_'.join([var[0],word]) for word in self.var_mod[var[0]]]
+ try :
+ words = [word for word in var_mod[var[0]]]
+ except KeyError:
+ dial = wx.MessageDialog(self, _(u"This is not a meta-data"), u"Problème", wx.OK | wx.ICON_WARNING)
dial.CenterOnParent()
dial.ShowModal()
dial.Destroy()
+ return
+ words.sort()
+ tableout = []
+ kwords = []
+ for word in words :
+ if word in fchistable :
+ tableout.append(vchistable[fchistable.index(word)])
+ kwords.append(word)
+ BarFrame(self.Source.parent, tableout, title, kwords)
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 = os.path.join(pathout,'chi.csv')
+ with open(self.tmpchi, 'w') as f:
+ f.write('\n'.join([str(val) for val in self.lchi]))
self.filename = os.path.join(pathout,'mat01.csv')
tableau.printtable(self.filename, tab)
del tab
'film': False,
'com' : 0,
'communities' : 0,
- 'halo' : 0
+ 'halo' : 0,
+ 'tmpchi': self.tmpchi,
+ 'fromprof' : True,
+ 'edgecurved' : True,
}
-# self.tableau.actives = {}
-# self.tableau.lchi = self.lchi
-# self.tableau.chi = {}
-# for i, val in enumerate(self.la) :
-# self.tableau.actives[val] = [self.lfreq[i]]
-# self.tableau.chi[val] = [self.lchi[i]]
-
act = {}
+ tableau = copymatrix(tableau)
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]]
- self.parent.SimiCluster(parametres = paramsimi, fromprof = ffr(self.filename), pathout = pathout, listactives = self.la, actives = act, tableau = tableau)
+ paramsimi['listactives'] = copy(self.la)
+ paramsimi['actives'] = copy(act)
+ paramsimi['pathout'] = pathout
+ self.parent.SimiCluster(parametres = paramsimi, fromprof = ffr(self.filename), tableau = tableau)
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)
'lem' : self.Source.parametres['lem'],
'tmpchi' : self.tmpchi}
#try :
- self.parent.SimiFromCluster(self.parent, self.Source.corpus, self.la, self.lfreq, self.lchi, self.cl - 1, parametres = parametres, dlg = progressbar(self, 4))
+ self.parent.SimiFromCluster(self.parent, self.Source.corpus, self.la, self.lfreq, self.lchi, self.cl - 1, parametres = parametres, dlg = progressbar(self.ira, 4))
#except :
# print 'not acitve'
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',
'lem' : self.Source.parametres['lem'],
'tmpchi' : self.tmpchi}
- self.parent.SimiFromCluster(self.parent, self.Source.corpus, self.la, self.lfreq, self.lchi, self.cl - 1, parametres = parametres, dlg = progressbar(self, 4))
- #dlg = progressbar(self, 2)
- #corpus = self.Source.corpus
- #uces = corpus.lc[self.cl-1]
- #dlg.Update(1, u'Tableau...')
- ##tab = corpus.make_table_with_classe(uces, self.la)
- #pathout = ConstructPathOut(self.Source.pathout.dirout+'/', 'simi_classe_%i' %self.cl)
- #self.filename = os.path.join(pathout,'mat01.csv')
- #dlg.Update(2, u'Ecriture...')
- ##corpus.write_tab(tab, self.filename)
- ##del tab
- #corpus.make_and_write_sparse_matrix_from_classe(self.la, uces, self.filename)
- #dlg.Destroy()
- #paramsimi = {'coeff' : 0,
- # 'layout' : 2,
- # 'type' : 1,
- # 'arbremax' : 1,
- # 'coeff_tv' : 1,
- # 'coeff_tv_nb' : 0,
- # 'tvprop' : 0,
- # 'tvmin' : 5,
- # 'tvmax' : 30,
- # 'coeff_te' : 1,
- # 'coeff_temin' : 1,
- # 'coeff_temax' : 10,
- # 'label_v': 1,
- # 'label_e': 0,
- # 'vcex' : 0,
- # 'vcexmin' : 10,
- # 'vcexmax' : 25,
- # 'cex' : 10,
- # 'cexfromchi' : True,
- # 'sfromchi': False,
- # 'seuil_ok' : 0,
- # 'seuil' : 1,
- # 'cols' : (255,0,0),
- # 'cola' : (200,200,200),
- # 'width' : 1000,
- # 'height' : 1000,
- # 'first' : True,
- # 'keep_coord' : True,
- # 'alpha' : 20,
- # 'film': False,
- # }
- #self.tableau = Tableau(self.parent, '')
- #self.tableau.listactives = self.la
- #self.tableau.actives = {}
- #self.tableau.lchi = self.lchi
- #self.tableau.chi = {}
- #self.tableau.parametre['fromprof'] = True
- #for i, val in enumerate(self.la) :
- # self.tableau.actives[val] = [self.lfreq[i]]
- # self.tableau.chi[val] = [self.lchi[i]]
- #DoSimi(self, param = paramsimi, fromprof = ffr(self.filename), pathout = pathout)
+ self.parent.SimiFromCluster(self.parent, self.Source.corpus, self.la, self.lfreq, self.lchi, self.cl - 1, parametres = parametres, dlg = progressbar(self.ira, 4))
def on_segments(self,evt) :
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...')
- #ucestxt = [corpus.ucis_paras_uces[val[1][0]][val[1][1]][val[1][2]] for val in ntab2]
- ucestxt1 = [row for row in corpus.getconcorde(nuces)]
- ucestxt = []
- ucis_txt = []
- for uce in ucestxt1 :
- ucetxt = ' '+uce[1]+' '
- ucis_txt.append(' '.join(corpus.ucis[corpus.getucefromid(uce[0]).uci].etoiles) + '<br>')
- for lem in self.la :
- listmot = corpus.getlems()[lem].formes
- for id in listmot :
- forme = corpus.getforme(id).forme
- ucetxt = ucetxt.replace(' '+forme+' ', '<font color=red> ' + forme + ' </font>')
- ucestxt.append(ucetxt)
- #ucestxt = [corpus.make_concord(self.la, ' '.join(uce), 'red') for uce in ucestxt]
- dlg.Update(4, u'texte...')
- #ucis_txt = [' '.join(corpus.ucis[val[1][0]][0]) for val in ntab2]
- win = message(self, u"UCE caractéristiques - Classe %i" % self.cl, (750, 600))
- win.html = '<html>\n' + '<br><br>'.join(['<br>'.join([ucis_txt[i], 'score : ' + str(ntab2[i][0]), ucestxt[i]]) for i in range(0,len(ucestxt))]) + '\n</html>'
- win.HtmlPage.SetPage(win.html)
+ 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, uce in enumerate(nuces)])
dlg.Destroy()
+ win = message(self, items, u"Segments de texte caractéristiques - Classe %i" % self.cl, (750, 600), uceids = nuces)
+ #win.SetWindowStyle(wx.STAY_ON_TOP)
+ #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.Show(True)
def on_tablex(self, evt):
tmpgraph = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
nbcl = len(title)
nbwords = len(words)
- txt = barplot(tableout, words, title, self.Source.parent.RscriptsPath['Rgraph'], tmpgraph)
- tmpscript = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
- file = open(tmpscript,'w')
- file.write(txt)
- file.close()
- exec_rcode(self.Source.parent.RPath, tmpscript, wait = True)
- w = 100 + (20 * nbwords) + (100 * nbcl)
- h = 100 + (nbwords * 15)
- if w > 1100 : w = 1100
- if h > 800 : h = 800
- if h < 450 : h = 450
- win = MessageImage(self, u"Graphique", size=(w, h))
- win.addsaveimage(tmpgraph)
- txt = "<img src='%s'>" % tmpgraph
- win.HtmlPage.SetPage(txt)
- win.Show(True)
+ BarFrame(self.Source.parent, tableout, title, words)
def onlexdendro(self, evt):
if 'corpus' in dir(self.Source):
fchistable = [line[0] for line in chistable]
words = self.getselectedwords()
tableout = [vchistable[fchistable.index(word)] for word in words]
- tmpgraph = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
- txttable = 'c(' + ','.join([','.join(line) for line in tableout]) + ')'
- rownames = 'c("' + '","'.join(words) + '")'
- colnames = 'c("' + '","'.join(title) + '")'
- nbcl = len(title)
- rownb = len(words)
- txt = """
- load("%s")
- di <- matrix(data=%s, nrow=%i, byrow = TRUE)
- rownames(di)<- %s
- colnames(di) <- %s
- library(ape)
- source("%s")
- height <- (30*ncol(di)) + (15*nrow(di))
- height <- ifelse(height <= 400, 400, height)
- width <- 500
- open_file_graph("%s", width=width, height=height)
- plot.dendro.lex(tree.cut1$tree.cl, di)
- """ % (self.Source.pathout['Rdendro'], txttable, rownb, rownames, colnames, self.Source.parent.RscriptsPath['Rgraph'], ffr(tmpgraph))
- tmpscript = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
- file = open(tmpscript,'w')
- file.write(txt)
- file.close()
- exec_rcode(self.Source.parent.RPath, tmpscript, wait = True)
- win = MessageImage(self, u"Graphique", size=(700, 500))
- win.addsaveimage(tmpgraph)
- txt = "<img src='%s'>" % tmpgraph
- win.HtmlPage.SetPage(txt)
- win.Show(True)
-
+ BarFrame(self.Source.parent, tableout, title, words, tree = self.Source.pathout['Rdendro'])
def make_concord(self, uces, title, color = 'red') :
corpus = self.Source.corpus
while self.GetNextSelected(last) != -1:
last = self.GetNextSelected(last)
ListWord.append(self.getColumnText(last, 6))
- listmot = [forme for item in ListWord for forme in corpus.getlems()[item].formes]
- win = message(self, title, size=(750, 600))
- toshow = ['<html>\n<H1>Concordancier</H1>\n']
- toshow.append('<h3><font color=%s>' % color + ' '.join(ListWord) + '</font></h3><br>')
- duce = {}
ucef = []
- for word in ListWord :
- ucef += list(set(corpus.getlemuces(word)).intersection(uces))
- ucef = list(set(ucef))
- ucef.sort()
- res = corpus.getconcorde(ucef)
- txt = '<br>'.join(toshow) +'<br><br>'
- for uce in res :
- ucetxt = ' '+uce[1]+' '
- txt += ' '.join(corpus.ucis[corpus.getucefromid(uce[0]).uci].etoiles) + '<br>'
- for forme in listmot:
- forme = corpus.getforme(forme).forme
- ucetxt = ucetxt.replace(' '+forme+' ', '<font color=red> ' + forme + ' </font>')
- txt += ucetxt + '<br><br>'
- win.HtmlPage.SetPage(txt)
+ 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), uceids = ucef)
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
uces = [classe[i] for classe in corpus.lc for i in range(0,len(classe))]
- win = self.make_concord(uces, "Concordancier - UCE classées")
+ win = self.make_concord(uces, "Concordancier - Segments de texte classés")
win.Show(True)
def OnPopupFour(self, event):
corpus = self.Source.corpus
uces = [classe[i] for classe in corpus.lc for i in range(0,len(classe))] + corpus.lc0
- win = self.make_concord(uces, "Concordancier - Toutes les UCE")
+ win = self.make_concord(uces, "Concordancier - Tous les segments de texte")
win.Show(True)
def OnPopupFive(self, event):
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])
- 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)
+ rep.sort(key = itemgetter(1), reverse = True)
+ #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)
+
+ def OnMakeTgen(self, evt):
+ self.parent.tree.OnTgenEditor(self.getselectedwords())
class wliste(wx.Frame):
def __init__(self, parent, id, title, d, fline, size=(600, 500)):
wx.Frame.__init__(self, parent, id)
- self.liste = ListForSpec(self, parent, d, fline, menu = False)
+ self.liste = ListForSpec(self, parent, d, fline[1:], menu = False)
self.button_1 = wx.Button(self, -1, "Fermer")
self.Bind(wx.EVT_BUTTON, self.OnCloseMe, self.button_1)
self.Bind(wx.EVT_CLOSE, self.OnCloseWindow)
projects / iramuteq / blobdiff