from layout import open_antiprofil, TgenLayout
from guifunct import TGenFrame
from textaslexico import TgenSpec
+from textreinert import TgenProf
log = logging.getLogger('iramuteq.tree')
+def buildmenu(menu, parent_menu):
+ for i in range(parent_menu.GetMenuItemCount()) :
+ item = parent_menu.FindItemByPosition(i)
+ itemid = item.GetId()
+ itemtext = item.GetText()
+ itemicon = item.GetBitmap()
+ nitem = wx.MenuItem(menu, itemid, itemtext)
+ nitem.SetBitmap(itemicon)
+ if item.IsSubMenu() :
+ nmenu = wx.Menu()
+ for val in item.GetSubMenu().GetMenuItems() :
+ itemid = val.GetId()
+ itemtext = val.GetText()
+ itemicon = val.GetBitmap()
+ nitem = wx.MenuItem(menu, itemid, itemtext)
+ nitem.SetBitmap(itemicon)
+ nmenu.AppendItem(nitem)
+ menu.AppendMenu(-1, item.GetText(), nmenu)
+ else :
+ menu.AppendItem(nitem)
+
class InfoDialog ( wx.Dialog ):
def __init__( self, parent, txt, parametres ):
self.styles = treestyles
self.item = None
+
self.il = wx.ImageList(16, 16)
self.ild = {}
- imgtextroot = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'textroot.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['alceste'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'reinert.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['corpus'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'textcorpus.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['wordcloud'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'wordcloud.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['stat'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'stats.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['simitxt'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'simitxt.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['clustersimitxt'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'clustersimitxt.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['clustercloud'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'clustercloud.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['spec'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'spec.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- imgmatroot = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'matroot.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['matrix'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'matrix.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['freq'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'frequences.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['freqmulti'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'frequences.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['chi2'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'chi2.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['reinertmatrix'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'reinertmatrix.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['simimatrix'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'simimatrix.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
- self.ild['proto'] = self.il.Add(wx.Image(os.path.join(self.parent.images_path,'proto.png'), wx.BITMAP_TYPE_PNG).Scale(16,16).ConvertToBitmap())
+ for img in self.ira.images_analyses :
+ self.ild[img] = self.il.Add(self.ira.images_analyses[img])
self.SetImageList(self.il)
self.count = 0
self.SetItemImage(self.root, 24, CT.TreeItemIcon_Normal)
self.SetItemImage(self.root, 13, CT.TreeItemIcon_Expanded)
- self.textroot = self.AppendItem(self.root, u'Corpus texte')
+ self.textroot = self.AppendItem(self.root, _(u'Textual corpus'))
self.SetPyData(self.textroot, {'uuid': 'textroot'})
- self.SetItemImage(self.textroot, imgtextroot, CT.TreeItemIcon_Normal)
- self.SetItemImage(self.textroot, imgtextroot, CT.TreeItemIcon_Expanded)
+ self.SetItemImage(self.textroot, self.ild['textroot'], CT.TreeItemIcon_Normal)
+ self.SetItemImage(self.textroot, self.ild['textroot'], CT.TreeItemIcon_Expanded)
for corpus in reversed(self.h) :
child = self.AppendItem(self.textroot, corpus['corpus_name'])
self.SetItemImage(last, img, CT.TreeItemIcon_Normal)
self.SetItemImage(last, img, CT.TreeItemIcon_Expanded)
- self.matroot = self.AppendItem(self.root, u'Matrices')
+ self.matroot = self.AppendItem(self.root, _(u'Matrix'))
self.SetPyData(self.matroot, {'uuid': 'matroot'})
- self.SetItemImage(self.matroot, imgmatroot, CT.TreeItemIcon_Normal)
- self.SetItemImage(self.matroot, imgmatroot, CT.TreeItemIcon_Expanded)
+ self.SetItemImage(self.matroot, self.ild['matroot'], CT.TreeItemIcon_Normal)
+ self.SetItemImage(self.matroot, self.ild['matroot'], CT.TreeItemIcon_Expanded)
orphmat = []
for matrix in reversed(self.history.matrix) :
menu.AppendSeparator()
if 'corpus_name' in pydata :
- stat = menu.Append(wx.ID_ANY, _(u"Statistics").decode('utf8'))
- spec = menu.Append(wx.ID_ANY, _(u"Specificities and CA").decode('utf8'))
- classification = wx.Menu()
- reinert = classification.Append(wx.ID_ANY, _(u"Reinert method").decode('utf8'))
- #pam = classification.Append(wx.ID_ANY, u"Par matrice des distances")
- menu.AppendMenu(-1, _(u"Clustering").decode('utf8'), classification)
- simi = menu.Append(wx.ID_ANY, _(u"Similarities analysis").decode('utf8'))
- wdc = menu.Append(wx.ID_ANY, _(u"Wordcloud").decode('utf8'))
- subcorpus = wx.Menu()
- subcorpusfrommeta = subcorpus.Append(wx.ID_ANY, _(u'Sub corpus from metadata').decode('utf8'))
- subcorpusfromtheme = subcorpus.Append(wx.ID_ANY, _(u'Sub corpus from thematic').decode('utf8'))
- menu.AppendMenu(-1, _(u"Sub corpus").decode('utf8'), subcorpus)
+ buildmenu(menu, self.parent.text_menu)
menu.AppendSeparator()
- self.Bind(wx.EVT_MENU, self.OnReinert, reinert)
- #self.Bind(wx.EVT_MENU, self.OnPam, pam)
- self.Bind(wx.EVT_MENU, self.OnStat, stat)
- self.Bind(wx.EVT_MENU, self.OnSpec, spec)
- self.Bind(wx.EVT_MENU, self.OnSimiTxt, simi)
- self.Bind(wx.EVT_MENU, self.OnWordCloud, wdc)
- self.Bind(wx.EVT_MENU, self.OnSubTextFromMeta, subcorpusfrommeta)
- self.Bind(wx.EVT_MENU, self.OnSubTextFromTheme, subcorpusfromtheme)
elif 'matrix_name' in pydata :
- for i in range(self.parent.matrix_menu.GetMenuItemCount()) :
- item = self.parent.matrix_menu.FindItemByPosition(i)
- itemid = item.GetId()
- itemtext = item.GetText()
- if item.IsSubMenu() :
- nmenu = wx.Menu()
- for val in item.GetSubMenu().GetMenuItems() :
- nmenu.Append(val.GetId(), val.GetText())
- menu.AppendMenu(itemid, itemtext, nmenu)
- else :
- menu.Append(itemid, itemtext)
- split = wx.Menu()
- splitfromvar = split.Append(-1, _(u"Split from variable").decode('utf8'))
- menu.AppendMenu(-1, _(u"Split matrix").decode('utf8'), split)
- self.Bind(wx.EVT_MENU, self.OnSplitFromVar, splitfromvar)
- #print item, itemid, itemtext
- #menu = self.parent.matrix_menu
- #freq = menu.Append(wx.ID_ANY, _(u"Frequency").decode('utf8'))
- #chi2 = menu.Append(wx.ID_ANY, _(u"Chi square").decode('utf8'))
- #chdreinert = menu.Append(wx.ID_ANY, _(u"Reinert clustering").decode('utf8'))
- #simi = menu.Append(wx.ID_ANY, _(u"Similarity analysis").decode('utf8'))
+ buildmenu(menu, self.parent.matrix_menu)
menu.AppendSeparator()
- #self.Bind(wx.EVT_MENU, self.OnFreq, freq)
- #self.Bind(wx.EVT_MENU, self.OnChiSquare, chi2)
- #self.Bind(wx.EVT_MENU, self.OnSimiTab, simi)
- #self.Bind(wx.EVT_MENU, self.OnCHDReinert, chdreinert)
elif pydata.get('type', False) == 'alceste' and pydata['uuid'] in self.parent.history.opened :
openmenu = wx.Menu()
antipro = openmenu.Append(wx.ID_ANY, _(u"Antiprofiles").decode('utf8'))
profsr = menu.Append(wx.ID_ANY, _(u"Repeated segments profiles").decode('utf8'))
profgram = menu.Append(wx.ID_ANY, _(u"POS profiles").decode('utf8'))
+ tgen = menu.Append(wx.ID_ANY, _(u"Tgen Editor").decode('utf8'))
+ computetgen = menu.Append(wx.ID_ANY, _(u"Compute Tgen").decode('utf8'))
export_corpus = menu.Append(wx.ID_ANY, _(u"Export corpus").decode('utf8'))
colored = menu.Append(wx.ID_ANY, _(u"Colored corpus").decode('utf8'))
navig = menu.Append(wx.ID_ANY, _(u"Navigator").decode('utf8'))
self.Bind(wx.EVT_MENU, self.OpenAntipro, antipro)
self.Bind(wx.EVT_MENU, self.OnProfSR, profsr)
self.Bind(wx.EVT_MENU, self.OnProfGram, profgram)
+ self.Bind(wx.EVT_MENU, self.OnTgenEditor, tgen)
+ self.Bind(wx.EVT_MENU, self.OnTgenCompute, computetgen)
self.Bind(wx.EVT_MENU, self.OnExportCorpus, export_corpus)
self.Bind(wx.EVT_MENU, self.OnColored, colored)
self.Bind(wx.EVT_MENU, self.OnNavig, navig)
def OnWordCloud(self, evt) :
self.parent.OnWordCloud(evt, self.getcorpus())
- def OnFreq(self, evt):
- self.parent.OnFreq(evt, self.getmatrix())
+# def OnFreq(self, evt):
+# self.parent.OnFreq(evt, self.getmatrix())
- def OnChiSquare(self, evt):
- self.parent.OnChi2(evt, self.getmatrix())
+# def OnChiSquare(self, evt):
+# self.parent.OnChi2(evt, self.getmatrix())
- def OnSimiTab(self, evt):
- self.parent.OnSimiTab(evt, self.getmatrix())
+# def OnSimiTab(self, evt):
+# self.parent.OnSimiTab(evt, self.getmatrix())
- def OnProto(self, evt):
- self.parent.OnProto(evt, self.getmatrix())
+# def OnProto(self, evt):
+# self.parent.OnProto(evt, self.getmatrix())
- def OnSplitFromVar(self, evt):
- self.parent.OnSplitVar(evt, self.getmatrix())
+# def OnSplitFromVar(self, evt):
+# self.parent.OnSplitVar(evt, self.getmatrix())
- def OnCHDReinert(self, evt):
- self.parent.OnCHDReinert(evt, self.getmatrix())
+# def OnCHDReinert(self, evt):
+# self.parent.OnCHDReinert(evt, self.getmatrix())
- def OnSubTextFromMeta(self, evt):
- self.parent.OnSubText(self.getcorpus(), parametres = {'frommeta' : True})
+ #def OnSubTextFromMeta(self, evt):
+ # self.parent.OnSubText(self.getcorpus(), parametres = {'frommeta' : True})
- def OnSubTextFromTheme(self, evt):
- self.parent.OnSubText(self.getcorpus(), parametres = {'fromtheme' : True})
+ #def OnSubTextFromTheme(self, evt):
+ # self.parent.OnSubText(self.getcorpus(), parametres = {'fromtheme' : True})
def OnProfSR(self, evt) :
ProfileSegment(self.parent, self.page.dictpathout, self.page.parametres, self.page.corpus)
else :
self.page.parametres['tgenpath'] = tgenpath
tgen = TGen(path = tgenpath, encoding = self.parent.syscoding)
- self.page.parametres['etoiles'] = self.page.etoiles
- TgenSpec(self.parent, corpus, self.page.parametres)
+ if self.page.parametres['type'] == 'spec' :
+ self.page.parametres['etoiles'] = self.page.etoiles
+ TgenSpec(self.parent, corpus, self.page.parametres)
+ elif self.page.parametres['type'] == 'alceste' :
+ TgenProf(self.parent, corpus, self.page.parametres, self.page.cluster_size)
TgenLayout(self.page)
def OnExportClasses(self, event):
dial.Destroy()
def OnSubCorpusFromClusters(self, evt):
- self.parent.OnSubText(self.getcorpus(), parametres = {'fromclusters' : True, 'clnb': self.page.parametres['clnb'], 'lc' : self.page.corpus.lc})
+ self.parent.OnSubText(evt, corpus = self.getcorpus(), parametres = {'fromclusters' : True, 'clnb': self.page.parametres['clnb'], 'lc' : self.page.corpus.lc})
def OnRename(self, event):
pydata = self.itemdict['pydata']
- print pydata
+ if 'matrix_name' in pydata :
+ name = 'matrix_name'
+ elif 'corpus_name' in pydata :
+ name = 'corpus_name'
+ else :
+ name = 'name'
+ oldname = pydata[name]
+ dlg = wx.TextEntryDialog(self, "Please Enter The New Item Name", 'Item Naming', oldname)
+ if dlg.ShowModal() == wx.ID_OK:
+ newname = dlg.GetValue()
+ dlg.Destroy()
+ pydata[name] = newname
+ Totconf = DoConf(configfile=pydata['ira'])
+ conf = Totconf.getoptions()
+ conf[name] = newname
+ Totconf.makeoptions(Totconf.getsections(), [conf])
+ self.history.update(pydata)
+ self.SetItemText(self.current, newname)
+ self.EnsureVisible(self.current)
def OnItemBackground(self, event):
if select :
self.history.addtab(item)
self.SetItemBold(child, True)
+ self.SelectItem(child)
#dlg = wx.TextEntryDialog(self, "Please Enter The New Item Name", 'Item Naming', 'Python')
projects / iramuteq / blobdiff