from openanalyse import OpenAnalyse
from corpus import Corpus, copycorpus
from tableau import Tableau, copymatrix
-from functions import DoConf, GetTxtProfile, TGen
+from functions import DoConf, GetTxtProfile, TGen, BugReport
from profile_segment import ProfileSegment, ProfilType
from search_tools import SearchFrame
from dialog import PrefSimpleFile, PrefExport
from layout import open_antiprofil, TgenLayout
from guifunct import TGenFrame
from textaslexico import TgenSpec
+from textreinert import TgenProf
log = logging.getLogger('iramuteq.tree')
elif data.startswith("EVT_"):
events.append(data)
self.parent = parent
+ self.ira = parent
self.events = events
self.styles = treestyles
self.item = None
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['simiclustermatrix'] = 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())
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(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)
if not item in [self.textroot, self.matroot] :
menu = wx.Menu()
- info = menu.Append(wx.ID_ANY, _(u"Informations").encode('utf8'))
- rename = menu.Append(wx.ID_ANY, _(u"Rename").encode('utf8'))
+ info = menu.Append(wx.ID_ANY, _(u"Informations").decode('utf8'))
+ rename = menu.Append(wx.ID_ANY, _(u"Rename").decode('utf8'))
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'))
+ reinert = classification.Append(wx.ID_ANY, _(u"Reinert's 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'))
+ 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'))
item = self.parent.matrix_menu.FindItemByPosition(i)
itemid = item.GetId()
itemtext = item.GetText()
- menu.Append(itemid, itemtext)
+ 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)
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'))
statclasse = menu.Append(wx.ID_ANY, _(u"Clusters statistics").decode('utf8'))
rapport = menu.Append(wx.ID_ANY, _(u"Report").decode('utf8'))
- export_classes = menu.Append(wx.ID_ANY, _(u"Export Clusters").decode('utf8'))
+ export_classes = menu.Append(wx.ID_ANY, _(u"Export clusters").decode('utf8'))
+ subcorpusfromcl = menu.Append(wx.ID_ANY, _(u"Sub corpus from clusters").decode('utf8'))
menu.AppendSeparator()
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)
self.Bind(wx.EVT_MENU, self.StatClasse, statclasse)
self.Bind(wx.EVT_MENU, self.OnRapport, rapport)
self.Bind(wx.EVT_MENU, self.OnExportClasses, export_classes)
+ self.Bind(wx.EVT_MENU, self.OnSubCorpusFromClusters, subcorpusfromcl)
elif pydata.get('type', False) == 'stat' and pydata['uuid'] in self.parent.history.opened :
export_dictionary = menu.Append(wx.ID_ANY, _(u"Export dictionary").decode('utf8'))
export_lems = menu.Append(wx.ID_ANY, _(u"Export lemma dictionary").decode('utf8'))
elif pydata.get('type', False) == 'reinertmatrix' and pydata['uuid'] in self.parent.history.opened :
openmenu = wx.Menu()
antipro = openmenu.Append(wx.ID_ANY, _(u"antiprofiles").decode('utf8'))
+ rapport = menu.Append(wx.ID_ANY, _(u"Report").decode('utf8'))
menu.AppendMenu(wx.ID_ANY, _(u"Open ...").decode('utf8'), openmenu)
self.Bind(wx.EVT_MENU, self.OpenAntipro, antipro)
+ self.Bind(wx.EVT_MENU, self.OnRapport, rapport)
itemdelete = menu.Append(wx.ID_ANY, _(u"Delete from history").decode('utf8'))
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.ShowModal()
dial.Destroy()
+ def OnSubCorpusFromClusters(self, evt):
+ self.parent.OnSubText(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):
self.SetItemBold(item, bold)
self.SelectItem(item)
- def OnItemAppend(self, item):
+ def OnItemAppend(self, item, select = True):
if 'corpus_name' in item :
child = self.InsertItem(self.textroot, 0, item['corpus_name'])
else :
child = self.InsertItem(self.matroot, 0, item['matrix_name'])
self.SetPyData(child, item)
- self.history.addtab(item)
if item['type'] in self.ild :
img = self.ild[item['type']]
else :
img = 24
self.SetItemImage(child, img, CT.TreeItemIcon_Normal)
self.SetItemImage(child, img, CT.TreeItemIcon_Expanded)
- self.SetItemBold(child, True)
+ 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')
elif pydata['uuid'] in ['textroot', 'matroot'] :
pass
else :
- busy = wx.BusyInfo(_("Please wait..."), self.parent)
- wx.SafeYield()
- OpenAnalyse(self.parent, pydata)
- del busy
- self.SetItemBold(item, True)
- self.OnSelChanged(pydata = pydata)
+ if os.path.exists(pydata['ira']) :
+ busy = wx.BusyInfo(_("Please wait..."), self.parent)
+ wx.SafeYield()
+ try :
+ OpenAnalyse(self.parent, pydata)
+ del busy
+ self.SetItemBold(item, True)
+ self.OnSelChanged(pydata = pydata)
+ except :
+ del busy
+ BugReport(self.ira)
+ else :
+ wx.MessageBox(_(u"This file does not exist : %s" % pydata['ira']).decode('utf8'), 'Information', wx.ICON_EXCLAMATION | wx.STAY_ON_TOP )
#if item and (flags & CT.TREE_HITTEST_ONITEMLABEL):
# if self.GetAGWWindowStyleFlag() & CT.TR_EDIT_LABELS:
# self.log.info("OnLeftDClick: %s (manually starting label edit)"% self.GetItemText(item) + "\n")
if event is not None :
item = event.GetItem()
pydata = self.GetPyData(item)
+
if pydata is not None :
+ if 'corpus_name' in pydata or 'corpus' in pydata :
+ self.ira.ShowMenu('text', True)
+ self.ira.ShowMenu('matrix', False)
+ if 'matrix_name' in pydata or 'matrix' in pydata:
+ self.ira.ShowMenu('text', False)
+ self.ira.ShowMenu('matrix', True)
self.pydata = pydata
if pydata['uuid'] in self.parent.history.opened :
for i in range(self.parent.nb.GetPageCount()) :