+
+class ExportMetaTable :
+ def __init__(self, parent, corpus):
+ self.ira = parent
+ dial = PrefSimpleFile(self, self.ira, **{'mask' : '*.csv', 'title': _("metadata table")})
+ dial.fbb.SetValue(corpus.pathout['metadata.csv'])
+ dial.CenterOnParent()
+ res = dial.ShowModal()
+ if res == wx.ID_OK :
+ fileout = dial.fbb.GetValue()
+ dial.Destroy()
+ corpus.export_meta_table(fileout)
+ dlg = wx.MessageDialog(self.ira, _("Done !"), _("Export metadata"), wx.OK | wx.ICON_INFORMATION)
+ dlg.CenterOnParent()
+ dlg.ShowModal()
+ dlg.Destroy()
+ else :
+ dial.Destroy()
+
+
+def redosimi(self, evt) :
+ with open(self.pathout['selected.csv'],'r') as f :
+ selected = f.read()
+ selected = [int(val) for val in selected.splitlines()]
+ if self.actives is None :
+ with codecs.open(self.pathout['actives.csv'], 'r') as f :
+ self.actives = f.read()
+ self.actives = self.actives.splitlines()#[act for act in self.actives.splitlines()]
+ if os.path.exists(self.pathout['actives_nb.csv']) :
+ with open(self.pathout['actives_nb.csv'], 'r') as f :
+ act_nb = f.read()
+ act_nb = act_nb.splitlines()
+ dictcol = dict([[i, [self.actives[i], int(act_nb[i])]] for i, val in enumerate(self.actives)])
+ else :
+ dictcol = dict([[i, [act, self.corpus.getlemeff(act)]] for i, act in enumerate(self.actives)])
+ #res = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], selected = selected, dlg = True)
+ #if res.ok :
+ if evt is not None :
+ prep = PrepSimi(self.ira, self, self.parametres,self.pathout['selected.csv'], self.actives, indices_simi, wordlist = dictcol, selected = selected)
+ else :
+ class EmptyBase(object): pass
+ prep = EmptyBase()
+ prep.val = wx.ID_OK
+ prep.parametres = self.parametres
+ order_actives = [[i, act, self.corpus.getlemeff(act)] for i, act in enumerate(self.actives)]
+ order_actives = sorted(order_actives, key=itemgetter(2), reverse = True)
+ with open(self.pathout['selected.csv'], 'w') as f :
+ f.write('\n'.join([repr(order_actives[val][0]) for val in self.parametres['selected']]))
+ if prep.val == wx.ID_OK or evt is None:
+ self.parametres = prep.parametres
+
+ script = PrintSimiScript(self)
+ script.make_script()
+ pid = exec_rcode(self.ira.RPath, script.scriptout, wait = True)
+ check_Rresult(self.ira, pid)
+ if self.parametres['type_graph'] in [1,3] :
+ if self.parametres['svg'] :
+ filename, ext = os.path.splitext(script.filename)
+ fileout = filename + '.svg'
+ elif self.parametres['type_graph'] == 3 :
+ fileout = script.filename
+ parametres = {'gexffile' : fileout,
+ 'dirout' : os.path.dirname(fileout),
+ 'titre': 'Le titre',
+ #'nodemin': self.param['txt_min'],
+ #'nodemax': self.param['txt_max'],
+ #'bargraphw' : 60*int(self.param['clnb']),
+ }
+ web = WebExport(self.ira, parametres)
+ fileout = web.exportsimi()
+ else :
+ fileout = script.filename
+ if os.path.exists(self.pathout['liste_graph']):
+ graph_simi = read_list_file(self.pathout['liste_graph'])
+ graph_simi.append([os.path.basename(fileout), script.txtgraph])
+ else :
+ graph_simi = [[os.path.basename(fileout), script.txtgraph]]
+ self.fileout = fileout
+ print_liste(self.pathout['liste_graph'], graph_simi)
+ DoConf().makeoptions([self.parametres['type']], [self.parametres], self.pathout['Analyse.ira'])
+ if evt is not None :
+ if self.parametres['type_graph'] in [1,3] :
+ if self.parametres['svg'] or self.parametres['type_graph'] == 3 :
+ self.graphpan.sizer_3.Add(hl.HyperLinkCtrl(self.graphpan.panel_1, -1, fileout, URL = fileout), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ else :
+ self.graphpan.sizer_3.Add(wx.StaticBitmap(self.graphpan.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ self.graphpan.sizer_3.Add(wx.StaticText(self.graphpan.panel_1,-1, script.txtgraph), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ self.graphpan.sizer_3.Fit(self.graphpan.panel_1)
+ self.graphpan.Layout()
+ self.graphpan.panel_1.Scroll(0,self.graphpan.panel_1.GetScrollRange(wx.VERTICAL))