import logging
from openanalyse import OpenAnalyse
from corpus import Corpus, copycorpus
-from functions import DoConf, GetTxtProfile
+from tableau import Tableau, copymatrix
+from functions import DoConf, GetTxtProfile, TGen
from profile_segment import ProfileSegment, ProfilType
from search_tools import SearchFrame
from dialog import PrefSimpleFile, PrefExport
-from layout import open_antiprofil
+from layout import open_antiprofil, TgenLayout
+from guifunct import TGenFrame
+from textaslexico import TgenSpec
log = logging.getLogger('iramuteq.tree')
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['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.SetImageList(self.il)
self.count = 0
self.matroot = self.AppendItem(self.root, u'Matrices')
self.SetPyData(self.matroot, {'uuid': 'matroot'})
- self.SetItemImage(self.matroot, 24, CT.TreeItemIcon_Normal)
- self.SetItemImage(self.matroot, 13, CT.TreeItemIcon_Expanded)
+ self.SetItemImage(self.matroot, imgmatroot, CT.TreeItemIcon_Normal)
+ self.SetItemImage(self.matroot, imgmatroot, CT.TreeItemIcon_Expanded)
- for matrix in self.history.matrix :
- last = self.AppendItem(self.matroot, matrix['name'])
- self.SetPyData(last, matrix)
- self.SetItemImage(last, 24, CT.TreeItemIcon_Normal)
- self.SetItemImage(last, 13, CT.TreeItemIcon_Expanded)
-
+ orphmat = []
+ for matrix in reversed(self.history.matrix) :
+ if 'matrix_name' in matrix :
+ child = self.AppendItem(self.matroot, matrix['matrix_name'])
+ self.SetPyData(child, matrix)
+ self.SetItemImage(child, self.ild['matrix'], CT.TreeItemIcon_Normal)
+ self.SetItemImage(child, self.ild['matrix'], CT.TreeItemIcon_Expanded)
+ if 'analyses' in matrix :
+ for y in matrix['analyses'] :
+ last = self.AppendItem(child, y['name'], ct_type=0)
+ self.SetPyData(last, y)
+ if y['type'] in self.ild :
+ img = self.ild[y['type']]
+ else :
+ img = 24
+ self.SetItemImage(last, img, CT.TreeItemIcon_Normal)
+ self.SetItemImage(last, 13, CT.TreeItemIcon_Expanded)
+ else :
+ orphmat.append(matrix)
self.Bind(wx.EVT_LEFT_DCLICK, self.OnLeftDClick)
#self.Bind(wx.EVT_IDLE, self.OnIdle)
if itemParent is None :
itemParent = self.root
child, cookie = self.GetFirstChild(itemParent)
+
while child :
pydata = self.GetPyData(child)
if pydata['uuid'] == uuid :
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()
- alceste = classification.Append(wx.ID_ANY, _(u"Reinert method").decode('utf8'))
+ 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 corpora from metadata').decode('utf8'))
+ subcorpusfromtheme = subcorpus.Append(wx.ID_ANY, _(u'Sub corpora from thematic').decode('utf8'))
+ menu.AppendMenu(-1, _(u"SubCorpora").decode('utf8'), subcorpus)
menu.AppendSeparator()
- self.Bind(wx.EVT_MENU, self.OnAlceste, alceste)
+ 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 :
+ 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'))
+ 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'))
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"Exports 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.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)
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'))
self.Bind(wx.EVT_MENU, self.OnExportDictionary, export_dictionary)
self.Bind(wx.EVT_MENU, self.OnExportLems, export_lems)
menu.AppendSeparator()
- elif pydata.get('type', False) == 'gnepamatrix' and pydata['uuid'] in self.parent.history.opened :
+ elif pydata.get('type', False) == 'spec' and pydata['uuid'] in self.parent.history.opened :
+ tgen = menu.Append(wx.ID_ANY, _(u"Tgen Editor").decode('utf8'))
+ computetgen = menu.Append(wx.ID_ANY, _(u"Compute Tgen").decode('utf8'))
+ self.Bind(wx.EVT_MENU, self.OnTgenEditor, tgen)
+ self.Bind(wx.EVT_MENU, self.OnTgenCompute, computetgen)
+ menu.AppendSeparator()
+ 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'))
menu.AppendMenu(wx.ID_ANY, _(u"Open ...").decode('utf8'), openmenu)
menu.Destroy()
def getcorpus(self):
+ busy = wx.BusyInfo(_("Please wait...Reading corpus").decode('utf8'), self.parent)
+ wx.SafeYield()
if self.pydata['uuid'] in self.parent.history.openedcorpus :
- return copycorpus(self.parent.history.openedcorpus[self.pydata['uuid']])
+ corpus = copycorpus(self.parent.history.openedcorpus[self.pydata['uuid']])
elif 'corpus_name' in self.pydata :
- return Corpus(self.parent, parametres = DoConf(self.pydata['ira']).getoptions('corpus'), read = True)
+ corpus = Corpus(self.parent, parametres = DoConf(self.pydata['ira']).getoptions('corpus'), read = True)
else :
cuuid = self.pydata['corpus']
if cuuid in self.parent.history.openedcorpus :
- return copycorpus(self.parent.history.openedcorpus[cuuid])
+ corpus = copycorpus(self.parent.history.openedcorpus[cuuid])
else :
irapath = self.parent.history.corpus[cuuid]['ira']
- return Corpus(self.parent, parametres = DoConf(irapath).getoptions('corpus'), read = True)
+ corpus = Corpus(self.parent, parametres = DoConf(irapath).getoptions('corpus'), read = True)
+ del busy
+ return corpus
+
+ def getmatrix(self):
+ if 'matrix_name' in self.pydata :
+ matrix = Tableau(self.parent, parametres = DoConf(self.pydata['ira']).getoptions('matrix'))
+ matrix.open()
+ return copymatrix(matrix)
+ else :
+ cuuid = self.pydata['matrix']
+ matrix = Tableau(self.parent, parametres = DoConf(self.history.matrixanalyse[cuuid]['ira']).getoptions('matrix'))
+ matrix.open()
+ return copymatrix(matrix)
def OnSpec(self, evt) :
self.parent.OnTextSpec(evt, self.getcorpus())
def OnStat(self, evt) :
self.parent.OnTextStat(evt, self.getcorpus())
- def OnAlceste(self, evt) :
- self.parent.OnTextAlceste(evt, self.getcorpus())
+ def OnReinert(self, evt) :
+ self.parent.OnTextReinert(evt, self.getcorpus())
def OnPam(self, evt) :
self.parent.OnPamSimple(evt, self.getcorpus())
def OnWordCloud(self, evt) :
self.parent.OnWordCloud(evt, self.getcorpus())
+
+ def OnFreq(self, evt):
+ self.parent.OnFreq(evt, self.getmatrix())
+
+ def OnChiSquare(self, evt):
+ self.parent.OnChi2(evt, self.getmatrix())
+
+ def OnSimiTab(self, evt):
+ self.parent.OnSimiTab(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 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)
dial = wx.MessageDialog(self.parent, self.page.pathout['lemmes.csv'], 'Export', wx.OK)
dial.ShowModal()
dial.Destroy()
+
+ def OnTgenEditor(self, evt):
+ corpus = self.page.corpus
+ tgenpath = os.path.join(self.page.parametres['pathout'], 'tgen.csv')
+ tgen = TGen(path = tgenpath, encoding = self.parent.syscoding)
+ if os.path.exists(tgenpath) :
+ tgen.read(tgenpath)
+ if isinstance(evt, list) :
+ i = 0
+ while 'tgen%i' %i in tgen.tgen :
+ i += 1
+ tgenname = 'tgen%i' %i
+ tgen.tgen[tgenname] = evt
+ tgenframe = TGenFrame(self.parent, corpus, tgen)
+ tgenframe.Show()
+ if isinstance(evt, list) :
+ tgenframe.OnNewTgen(None, tgen = tgenname)
+
+ def OnTgenCompute(self, evt):
+ corpus = self.page.corpus
+ tgenpath = os.path.join(self.page.parametres['pathout'], 'tgen.csv')
+ 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)
+ TgenLayout(self.page)
+
+ def OnExportClasses(self, event):
+ corpus = self.page.corpus
+ if self.page.parametres['classif_mode'] != 2 :
+ uci = False
+ else :
+ uci = True
+ busy = wx.BusyInfo(_("Please wait...").decode('utf8'), self.parent)
+ wx.SafeYield()
+ for i in range(1, self.page.parametres['clnb'] + 1) :
+ corpus.export_classe(self.page.pathout['classe_%i_export.txt' % i], i, uci = uci)
+ del busy
+ dial = wx.MessageDialog(self, self.page.pathout['classe_x_export.txt'], u"Export", wx.OK|wx.ICON_INFORMATION)
+ dial.ShowModal()
+ dial.Destroy()
def OnItemBackground(self, event):
self.GiveFocus(child, uuid)
child, cookie = self.GetNextChild(itemParent, cookie)
#item = self.AppendItem(child, parametres['name'])
- print corpus
if corpus is not None :
item = self.AppendItem(corpus, parametres['name'])
else :
self.SetItemImage(item, img, CT.TreeItemIcon_Normal)
self.SetItemImage(item, 13, CT.TreeItemIcon_Expanded)
self.SetItemBold(item, bold)
+
+ def AddMatAnalyse(self, parametres, itemParent = None, bold = True) :
+ uuid = parametres.get('matrix', None)
+ if uuid is not None :
+ if itemParent is None :
+ itemParent = self.matroot
+ child, cookie = self.GetFirstChild(itemParent)
+ matrix = None
+ while child :
+ pydata = self.GetPyData(child)
+ if pydata['uuid'] == uuid :
+ matrix = child
+ break
+ self.GiveFocus(child, uuid)
+ child, cookie = self.GetNextChild(itemParent, cookie)
+ #item = self.AppendItem(child, parametres['name'])
+ if matrix is not None :
+ item = self.AppendItem(matrix, parametres['name'])
+ else :
+ item = self.AppendItem(self.matroot, parametres['name'])
+ self.SetPyData(item, parametres)
+ if parametres['type'] in self.ild :
+ img = self.ild[parametres['type']]
+ else :
+ img = 24
+ self.SetItemImage(item, img, CT.TreeItemIcon_Normal)
+ self.SetItemImage(item, 13, CT.TreeItemIcon_Expanded)
+ self.SetItemBold(item, bold)
def OnItemAppend(self, item):
- child = self.InsertItem(self.textroot, 0, item['corpus_name'])
+ 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 :
projects / iramuteq / blobdiff