mere[line[2]] = mere[line[0]]['children'][-1]
with open(fileout, 'w') as f :
f.write(json.dumps(chd))
+
+
+translation_languages = {"Afrikaans":"af", "Albanian":"sq", "Amharic":"am", "Arabic":"ar", "Armenian":"hy", "Azeerbaijani":"az", "Basque":"eu", "Belarusian":"be", "Bengali":"bn", "Bosnian":"bs", "Bulgarian":"bg", "Catalan":"ca", "Cebuano":"ceb", "Chichewa":"ny", "Chinese (Simplified)":"zh-CN", "Chinese (Traditional)":"zh-TW", "Corsican":"co", "Croatian":"hr", "Czech":"cs", "Danish":"da", "Dutch":"nl", "English":"en", "Esperanto":"eo", "Estonian":"et", "Filipino":"tl", "Finnish":"fi", "French":"fr", "Frisian":"fy", "Galician":"gl", "Georgian":"ka", "German":"de", "Greek":"el", "Gujarati":"gu", "Haitian Creole":"ht", "Hausa":"ha", "Hawaiian":"haw", "Hebrew":"iw", "Hindi":"hi", "Hmong":"hmn ", "Hungarian":"hu", "Icelandic":"is", "Igbo":"ig", "Indonesian":"id", "Irish":"ga", "Italian":"it", "Japanese":"ja", "Javanese":"jw", "Kannada":"kn", "Kazakh":"kk", "Khmer":"km", "Korean":"ko", "Kurdish":"ku", "Kyrgyz":"ky", "Lao":"lo", "Latin":"la", "Latvian":"lv", "Lithuanian":"lt", "Luxembourgish":"lb", "Macedonian":"mk", "Malagasy":"mg", "Malay":"ms", "Malayalam":"ml", "Maltese":"mt", "Maori":"mi", "Marathi":"mr", "Mongolian":"mn", "Burmese":"my", "Nepali":"ne", "Norwegian":"no", "Pashto":"ps", "Persian":"fa", "Polish":"pl", "Portuguese":"pt", "Punjabi":"ma", "Romanian":"ro", "Russian":"ru", "Samoan":"sm", "Scots Gaelic":"gd", "Serbian":"sr", "Sesotho":"st", "Shona":"sn", "Sindhi":"sd", "Sinhala":"si", "Slovak":"sk", "Slovenian":"sl", "Somali":"so", "Spanish":"es", "Sundanese":"su", "Swahili":"sw", "Swedish":"sv", "Tajik":"tg", "Tamil":"ta", "Telugu":"te", "Thai":"th", "Turkish":"tr", "Ukrainian":"uk", "Urdu":"ur", "Uzbek":"uz", "Vietnamese":"vi", "Welsh":"cy", "Xhosa":"xh", "Yiddish":"yi", "Yoruba":"yo", "Zulu":"zu", }
+
+
+def gettranslation(words, lf, lt) :
+ import urllib2
+ import json
+ agent = {'User-Agent':
+ "Mozilla/4.0 (\
+ compatible;\
+ MSIE 6.0;\
+ Windows NT 5.1;\
+ SV1;\
+ .NET CLR 1.1.4322;\
+ .NET CLR 2.0.50727;\
+ .NET CLR 3.0.04506.30\
+ )"}
+ base_link = "https://translate.googleapis.com/translate_a/single?client=gtx&sl=%s&tl=%s&dt=t&q=%s"
+ print len(words)
+ totrans = urllib2.quote('\n'.join(words).encode('utf8'))
+ link = base_link % (lf, lt, totrans)
+ request = urllib2.Request(link, headers=agent)
+ raw_data = urllib2.urlopen(request).read()
+ data = json.loads(raw_data)
+ return [line[0].decode('utf8').replace(u"'", u'_').replace(u' | ', u'|').replace(u' ', u'_').replace(u'-',u'_').replace(u'\n','') for line in data[0]]
+
+def makenprof(prof, trans, deb=0) :
+ nprof=[]
+ if deb == 0 :
+ nprof.append(prof[0])
+ for i, val in enumerate(trans) :
+ line = prof[deb+i+1][:]
+ line[6] = val
+ nprof.append(line)
+ return nprof
+
+def treatempty(val) :
+ if val.strip() == '' :
+ return '_'
+ else :
+ return val
+
+def translateprofile(corpus, dictprofile, lf='it', lt='fr') :
+ nprof = {}
+ lems = {}
+ for i in range(len(dictprofile)) :
+ prof = dictprofile[`i+1`]
+ try :
+ lenact = prof.index([u'*****', u'*', u'*', u'*', u'*', u'*', '', ''])
+ lensup = -1
+ except ValueError:
+ try :
+ lenact = prof.index([u'*', u'*', u'*', u'*', u'*', u'*', '', ''])
+ lensup = 0
+ except ValueError:
+ lenact = len(prof)
+ lensup = 0
+ try :
+ lensup += prof.index([u'*', u'*', u'*', u'*', u'*', u'*', '', ''])
+ lensup = lensup - lenact
+ except ValueError:
+ lensup += len(prof) - lenact
+ if lenact != 0 :
+ if lenact > 400 :
+ nlenact = 400
+ else :
+ nlenact = lenact
+ actori = [line[6] for line in prof[1:nlenact]]
+ act = [val.replace(u'_', u' ') for val in actori]
+ act = gettranslation(act, lf, lt)
+ for j, val in enumerate(actori) :
+ if act[j] not in lems :
+ lems[act[j]] = val
+ else :
+ while act[j] in lems :
+ act[j] = act[j] + u"+"
+ lems[act[j]] = val
+ nprof[`i+1`] = makenprof(prof, act)
+
+ if lensup != 0 :
+ if lensup > 400 :
+ nlensup = 400
+ else :
+ nlensup = lensup
+ supori = [line[6] for line in prof[(1+lenact):(lenact+nlensup)]]
+ sup = [val.replace(u'_', u' ') for val in supori]
+ sup = [treatempty(val) for val in sup]
+ sup = gettranslation(sup, lf, lt)
+ for j, val in enumerate(supori) :
+ if sup[j] not in lems :
+ lems[sup[j]] = val
+ else :
+ while sup[j] in lems :
+ sup[j] = sup[j] + u"+"
+ lems[sup[j]] = val
+ nprof[`i+1`].append([u'*****', u'*', u'*', u'*', u'*', u'*', '', ''])
+ nprof[`i+1`] += makenprof(prof, sup, deb=lenact)
+
+ try :
+ lenet = prof.index([u'*', u'*', u'*', u'*', u'*', u'*', '', ''])
+ nprof[`i+1`].append([u'*', u'*', u'*', u'*', u'*', u'*', '', ''])
+ nprof[`i+1`] += prof[(lenet+1):]
+ except :
+ pass
+ return nprof, lems
+
+
+def write_translation_profile(prof, lems, language, dictpathout) :
+ if os.path.exists(dictpathout['translations.txt']) :
+ with codecs.open(dictpathout['translations.txt'], 'r', 'utf8') as f :
+ translist = f.read()
+ translist = [line.split('\t') for line in translist.splitlines()]
+ else :
+ translist = []
+ toprint = []
+ toprint.append(['','','','','',''])
+ toprint.append([u'***', u'nb classes', `len(prof)`, u'***', '', ''])
+ for i in range(len(prof)) :
+ toprint.append([u'**', u'classe', `i+1`, u'**', '', ''])
+ toprint.append([u'****'] + prof[`i+1`][0] + [u'****'])
+ rest = [[`line[1]`, `line[2]`, `line[3]`, `line[4]`, line[6], line[7].replace('< 0,0001', '0.00009').replace('NS (','').replace(')','')] for line in prof[`i+1`][1:]]
+ for i, line in enumerate(prof[`i+1`][1:]) :
+ if line[0] == u'*' :
+ rest[i] = [u'*', u'*', u'*', u'*', u'*', u'*']
+ elif line[0] == u'*****' :
+ rest[i] = [u'*****',u'*',u'*', u'*', u'*', u'*']
+ toprint += rest
+ with open(dictpathout['translation_profile_%s.csv' % language], 'w') as f :
+ f.write('\n'.join([';'.join(line) for line in toprint]).encode('utf8'))
+ with open(dictpathout['translation_words_%s.csv' % language], 'w') as f :
+ f.write('\n'.join(['\t'.join([val, lems[val]]) for val in lems]).encode('utf8'))
+ if 'translation_profile_%s.csv' % language not in [val[0] for val in translist] :
+ translist.append(['translation_profile_%s.csv' % language, 'translation_words_%s.csv' % language])
+ with open(dictpathout['translations.txt'], 'w') as f :
+ f.write('\n'.join(['\t'.join(line) for line in translist]).encode('utf8'))
image_path = self.list_graph[image_id][0]
viewer = ImageViewer(self, {'tmpgraph' : os.path.join(self.dirout,image_path), 'svg': 'FALSE', 'wildcard': '*.*'}, self.labels[image_id].GetLabelText(), self.listimg[image_id].GetSize())
viewer.Show()
- #print image_path
+ #print image_path
#print self.labels[image_id].GetLabelText()
def afc_graph(self,event):
# }
# web = WebExport(self.ira, parametres)
# afcout = web.exportafc()
-# dial = SimpleDialog(self.ira)
+# dial = SimpleDialog(self.ira)
# dial.link.SetLabel(afcout)
# dial.link.SetURL(afcout)
# dial.Layout()
self.SetFocus()
-def open_antiprofil(panel, AntiProfile, encoding) :
- DictAnti = ReadProfileAsDico(AntiProfile, True, encoding)
+def open_antiprofil(panel, AntiProfile, encoding, title = _(u"Antiprofiles").decode('utf8'), translation = False, lems=None) :
+ if not translation :
+ DictAnti = ReadProfileAsDico(AntiProfile, True, encoding)
+ else :
+ DictAnti = AntiProfile
panel.AntiProfNB = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
for i in range(0, panel.parametres['clnb']):
- tabantiprofile = ProfListctrlPanel(panel, panel, DictAnti[str(i + 1)], True, i + 1)
+ tabantiprofile = ProfListctrlPanel(panel.parent, panel, DictAnti[str(i + 1)], True, i + 1, translation = translation)
+ tabantiprofile.lems = lems
panel.AntiProfNB.AddPage(tabantiprofile, 'classe %s' % str(i + 1))
- panel.TabChdSim.AddPage(panel.AntiProfNB, _(u"Antiprofiles").decode('utf8'))
-
-
+ panel.TabChdSim.AddPage(panel.AntiProfNB, title)
def getlemgram(corpus, lem) :
if not lem[6] in corpus.lems :
class OpenCHDS():
def __init__(self, parent, corpus, parametres, Alceste=False):
- #sep = u'\n '
+ #sep = u'\n '
sep=' '
self.parent = parent
self.corpus = corpus
DictPathOut = self.pathout
self.DictPathOut = DictPathOut
self.dictpathout = DictPathOut
- self.parent = parent
+ self.Alceste = Alceste
Profile = DictPathOut['PROFILE_OUT']
AntiProfile = DictPathOut['ANTIPRO_OUT']
# #panel.chd_toolbar.AddLabelTool(self.ID_rapport, "rapport", rap_img, shortHelp=u"Produire le rapport", longHelp=u"Exporter un rapport en texte simple")
# butrap = wx.Button(panel.chd_toolbar, self.ID_rapport, u"Rapport ")
# panel.chd_toolbar.AddControl(butrap)
-#
+#
# panel.chd_toolbar.Realize()
# sizer1.Add(panel.chd_toolbar,0, wx.EXPAND, 5)
sizer1.Add(panel.TabChdSim,10, wx.EXPAND, 5)
panel.SetSizer(sizer1)
sizer1.Fit(panel)
-
+
if isinstance(self.corpus, Corpus) :
panel.TabChdSim.corpus = corpus
self.notenb = self.parent.nb.GetPageCount()
-
+
if os.path.exists(self.DictPathOut['liste_graph_chd']) :
list_graph = read_list_file(self.DictPathOut['liste_graph_chd'], self.encoding)
CHD = GraphPanelDendro(panel.TabChdSim, DictPathOut, list_graph, txt = self.debtext)
panel.TabChdSim.AddPage(CHD,'CHD')
-
- panel.ProfNB = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
- notebook_flags |= aui.AUI_NB_WINDOWLIST_BUTTON
- panel.ProfNB.SetAGWWindowStyleFlag(notebook_flags)
+
+
#panel.ProfNB.SetArtProvider(aui.ChromeTabArt())
#panel.ProfNB = LB.LabelBook(panel, -1, agwStyle = INB_LEFT|INB_SHOW_ONLY_TEXT|INB_FIT_LABELTEXT)
#panel.ProfNB = wx.Listbook(self.parent, -1, style = wx.BK_DEFAULT)
if os.path.exists(DictPathOut['prof_seg']) :
prof_seg = ReadProfileAsDico(DictPathOut['prof_seg'], False, self.encoding)
self.prof_seg_nb = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
+
+
+ panel.ProfNB = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
+ notebook_flags |= aui.AUI_NB_WINDOWLIST_BUTTON
+ panel.ProfNB.SetAGWWindowStyleFlag(notebook_flags)
for i in range(0, clnb):
self.cluster_size.append(DictProfile[str(i + 1)][0][0:3])
if isinstance(self.corpus, Corpus) :
if clnb > 2 :
self.TabAFC = aui.AuiNotebook(panel.TabChdSim, -1, wx.DefaultPosition)
- log.info('read AFC')
+ log.info('read AFC')
list_graph=read_list_file(DictPathOut['liste_graph_afc'], self.encoding)
self.tabAFCGraph = GraphPanelAfc(self.TabAFC, DictPathOut, list_graph, self.clnb, coding=self.encoding)
self.TabAFC.AddPage(self.tabAFCGraph, _(u"CA").decode('utf8'))
-
+
if os.path.exists(self.DictPathOut['afc_facteur']) :
dictrow, first = ReadList(self.DictPathOut['afc_facteur'], self.encoding)
self.TabAFC_facteur = ListForSpec(self.parent, parametres, dictrow, first[1:])
self.TabAFC.AddPage(self.TabAFC_facteur, _(u"Factor").decode('utf8'))
#self.TabAFC.AddPage(self.TabAFC_colonne, u'Colonnes')
#self.TabAFC.AddPage(self.TabAFC_ligne, u'Lignes')
-
+
sizer_3 = wx.BoxSizer(wx.VERTICAL)
self.parent.nb_panel_2 = wx.Panel(panel.TabChdSim, -1)
self.parent.button_simi = wx.Button(self.parent.nb_panel_2, -1, "Voyager")
self.parent.nb_panel_2.SetSizer(sizer_3)
self.TabAFC.AddPage(self.parent.nb_panel_2, _(u"3D graph").decode('utf8'))
self.parent.Bind(wx.EVT_BUTTON, self.onsimi, self.parent.button_simi)
-
+
panel.TabChdSim.AddPage(panel.ProfNB, _(u"Profiles").decode('utf8'))
#panel.TabChdSim.AddPage(panel.AntiProfNB, 'Antiprofils')
dlg.Update(4 + self.clnb, 'Affichage...')
panel.TabChdSim.AddPage(self.TabAFC, _(u"CA").decode('utf8'))
if os.path.exists(DictPathOut['prof_seg']) :
panel.TabChdSim.AddPage(self.prof_seg_nb, _(u"Repeated segments profiles").decode('utf8'))
-
+
# panel.Bind(wx.EVT_BUTTON, self.ongetrapport, id = self.ID_rapport)
if os.path.exists(os.path.join(self.parametres['pathout'], 'tgenchi2.csv')) :
self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenchi2.csv')
TgenLayout(panel)
+
+ if os.path.exists(self.dictpathout['translations.txt']) :
+ with codecs.open(self.dictpathout['translations.txt'], 'r', 'utf8') as f:
+ translist = f.read()
+ translist = [line.split('\t') for line in translist.splitlines()]
+ for line in translist :
+ self.opentrans(line)
+
panel.TabChdSim.SetSelection(0)
self.parent.nb.AddPage(panel, _(u"Clustering").decode('utf8') + ' - %s' % corpname)
self.parent.ShowTab(True)
- self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
+ self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
#for pane in self.parent._mgr.GetAllPanes() :
# if isinstance(pane.window, aui.AuiNotebook):
# nb = pane.window
# nb.SetAGWWindowStyleFlag(notebook_flags)
# nb.SetArtProvider(aui.ChromeTabArt())
- dlg.Destroy()
+ dlg.Destroy()
+
+
self.parent._mgr.Update()
-
+
+ def opentrans(self, trans) :
+ prof = ReadProfileAsDico(self.dictpathout[trans[0]], False, 'utf8')
+ with codecs.open(self.dictpathout[trans[1]], 'r', 'utf8') as f :
+ lems = f.read()
+ lems = [line.split('\t') for line in lems.splitlines()]
+ lems = dict(lems)
+ open_antiprofil(self.panel, prof, 'utf8', title = trans[0], translation=True, lems=lems)
+ self.panel.lems = lems
+ self.panel.TabChdSim.SetSelection(self.panel.TabChdSim.GetPageCount() - 1)
+
def onsimi(self,event):
outfile = print_simi3d(self)
error = exec_rcode(self.parent.RPath, outfile, wait = True)
txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), _(u'texts classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)])
else :
txt += ' '.join(['%i' % self.ucecla, _(u'line classified on').decode('utf8'), '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)])
-
+
txt += ''.join([sep, u'###########################', sep, _(u'time').decode('utf8'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep])
with open(self.pathout['pre_rapport'], 'w') as f :
#self.gparent=gparent
#self.dlist=dlist
#self.first = first
- #self.menu = menu
+ #self.menu = menu
# A window to the left of the client window
#self.listlex = listlex
self.leftwin1 = wx.SashLayoutWindow(
- self, -1, wx.DefaultPosition, (200, 300),
+ self, -1, wx.DefaultPosition, (200, 300),
wx.NO_BORDER|wx.SW_3D
)
self.leftwin1.SetBackgroundColour(wx.Colour(0, 255, 0))
self.leftwin1.SetSashVisible(wx.SASH_RIGHT, True)
self.leftwin1.SetExtraBorderSize(10)
-
+
#textWindow = wx.TextCtrl(
- # leftwin1, -1, "", wx.DefaultPosition, wx.DefaultSize,
+ # leftwin1, -1, "", wx.DefaultPosition, wx.DefaultSize,
# wx.TE_MULTILINE|wx.SUNKEN_BORDER
# )
self.leftWindow1 = self.leftwin1
winids.append(self.leftwin1.GetId())
-
+
rightwin1 = wx.SashLayoutWindow(
- self, -1, wx.DefaultPosition, (200, 300),
+ self, -1, wx.DefaultPosition, (200, 300),
wx.NO_BORDER|wx.SW_3D
)
rightwin1.SetSashVisible(wx.SASH_RIGHT, True)
rightwin1.SetExtraBorderSize(10)
#textWindow = wx.TextCtrl(
- # leftwin1, -1, "", wx.DefaultPosition, wx.DefaultSize,
+ # leftwin1, -1, "", wx.DefaultPosition, wx.DefaultSize,
# wx.TE_MULTILINE|wx.SUNKEN_BORDER
# )
if tab.tgen :
tgentab = tab
break
-
+
if tgentab :
self.page.tgentab.RefreshData(self.page.tgens)
self.page.tgentab.tgens = tgen.tgen
self.DictType, firstt = ReadList(self.dictpathout['tablespect'], self.corpus.parametres['syscoding'])
self.DictEff, firsteff = ReadList(self.dictpathout['tableafcm'], self.corpus.parametres['syscoding'])
self.DictEffType, firstefft = ReadList(self.dictpathout['tabletypem'], self.corpus.parametres['syscoding'])
- self.DictEffRelForme, firsteffrelf = ReadList(self.dictpathout['eff_relatif_forme'], self.corpus.parametres['syscoding'])
- self.DictEffRelType, firsteffrelt = ReadList(self.dictpathout['eff_relatif_type'], self.corpus.parametres['syscoding'])
+ self.DictEffRelForme, firsteffrelf = ReadList(self.dictpathout['eff_relatif_forme'], self.corpus.parametres['syscoding'])
+ self.DictEffRelType, firsteffrelt = ReadList(self.dictpathout['eff_relatif_type'], self.corpus.parametres['syscoding'])
self.etoiles = firsteff[1:]
#sash = SashList(ira.nb)
-
-
+
+
self.TabStat = aui.AuiNotebook(ira.nb, -1, wx.DefaultPosition)
self.TabStat.parametres = parametres
self.ListPan = ListForSpec(ira, self, self.DictSpec, self.etoiles)
self.ListPanEffType = ListForSpec(ira, self, self.DictEffType, self.etoiles)
self.ListPanEffRelForme = ListForSpec(ira, self, self.DictEffRelForme, self.etoiles)
self.ListPanEffRelType = ListForSpec(ira, self, self.DictEffRelType, self.etoiles)
-
- self.TabStat.AddPage(self.ListPan, _(u'Forms').decode('utf8'))
+
+ self.TabStat.AddPage(self.ListPan, _(u'Forms').decode('utf8'))
if os.path.exists(self.pathout['banalites.csv']) :
self.TabStat.AddPage(self.listban, _(u'Banal forms').decode('utf8'))
self.TabStat.AddPage(self.ListPant, _(u'POS').decode('utf8'))
self.tabAFCTGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afct', coding=self.encoding)
self.TabAFC.AddPage(self.tabAFCTGraph, _(u'CA POS').decode('utf8'))
self.TabStat.AddPage(self.TabAFC, _(u'CA').decode('utf8'))
-
+
ira.nb.AddPage(self.TabStat, ' - '.join([_(u'Specificities').decode('utf8'), self.parametres['name']]))
self.ira = ira
-
+
self.TabStat.corpus = self.corpus
self.TabStat.etoiles = self.etoiles
if os.path.exists(os.path.join(self.parametres['pathout'], 'tgenspec.csv')) :
self.corpus = corpus
self.ira = ira
self.read_result()
+ self.parametres = parametres
self.TabStat = aui.AuiNotebook(ira.nb, -1, wx.DefaultPosition)
self.TabStat.parametres = parametres
self.TabStat.corpus = corpus
list_graph = [['zipf.png', 'zipf']]
self.TabStatTot = GraphPanel(ira.nb, self.pathout, list_graph, self.result['glob'])
self.TabStat.AddPage(self.TabStatTot, _(u'Abstract').decode('utf8'))
-
+
dictlabel = {'total' : _(u'Total').decode('utf8'),
u'formes_actives' : _(u'Actives forms').decode('utf8'),
u'formes_supplémentaires': _(u'Supplementary forms').decode('utf8'),
u'hapax' : _(u'Hapax').decode('utf8'),
}
-
+
for item in self.result:
if item != 'glob':
datam = [['forme', 'nb']]
self.ListPan = ListPanel(ira, self, self.result[item])
- self.TabStat.AddPage(self.ListPan, dictlabel[item])
+ self.TabStat.AddPage(self.ListPan, dictlabel[item])
ira.nb.AddPage(self.TabStat, '%s' % parametres['name'])
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
lcle = {'total' :u'total.csv', u'formes_actives':u'formes_actives.csv', u'formes_supplémentaires':u'formes_supplémentaires.csv', u'hapax': u'hapax.csv'}
self.result = {}
for key in lcle :
- with open(self.pathout[lcle[key]], 'r') as f :
+ with codecs.open(self.pathout[lcle[key]], 'r', sys.getdefaultencoding()) as f :
self.result[key] = [line.split(';') for line in f.read().splitlines()]
self.result[key] = dict([[i,[line[0],int(line[1]), line[2]]] for i, line in enumerate(self.result[key])])
with open(self.pathout['glob.txt'], 'r') as f :
self.butdendro = wx.BitmapButton(self, -1, dendro_img)
self.butdendrotexte = wx.BitmapButton(self, -1, dendro_liste_img)
self.butdendrocloud = wx.BitmapButton(self, -1, dendro_cloud_img)
-
+
for i in range(0,len(list_graph)):
if os.path.exists(os.path.join(self.dirout,list_graph[i][0])) :
filename, ext = os.path.splitext(list_graph[i][0])
else :
self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
self.labels.append(wx.StaticText(self.panel_1, -1, list_graph[i][1]))
-
+
self.__set_properties()
self.__do_layout()
}
self.type_dendro = [ u"phylogram", u"cladogram", u"fan", u"unrooted", u"radial" ]
- def __do_layout(self):
+ def __do_layout(self):
self.sizer_1 = wx.BoxSizer(wx.VERTICAL)
self.sizer_2 = wx.BoxSizer(wx.HORIZONTAL)
self.sizer_3 = wx.BoxSizer(wx.VERTICAL)
self.panel_1.SetSizer(self.sizer_3)
self.sizer_2.Add(self.sizer_1, 0, wx.EXPAND, 0)
self.sizer_2.Add(self.panel_1, 1, wx.EXPAND, 0)
- self.SetSizer(self.sizer_2)
+ self.SetSizer(self.sizer_2)
def make_param(self, dial):
self.param['width'] = dial.m_spinCtrl2.GetValue()
self.param['color_nb'] = dial.m_radioBox1.GetSelection()
self.param['taille_classe'] = dial.m_checkBox1.GetValue()
self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
+ if self.param.get('translation', False) :
+ if dial.trans.GetSelection() == 0 :
+ del self.param['translation']
+ else :
+ self.param['translation'] = self.param['translation'][dial.trans.GetSelection()-1][1]
def make_dendro(self, dendro = 'simple') :
if self.param['svg'] :
debsup <- debet
}
chistable <- chistabletot[1:(debsup-1),]
+ """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']))
+ if self.param.get('translation', False) :
+ txt += """
+ rn <- read.csv2("%s", header=FALSE, sep='\t')
+ rnchis <- row.names(chistable)
+ commun <- intersect(rnchis, unique(rn[,2]))
+ idrnchis <- sapply(commun, function(x) {which(rnchis==x)})
+ idrn <- sapply(commun, function(x) {which(as.vector(rn[,2])==x)[1]})
+ rownames(chistable)[idrnchis] <- as.vector(rn[idrn,1])
+ """ % ffr(self.param['translation'])
+ txt += """
open_file_graph("%s", width=%i, height=%i, svg = %s)
plot.dendro.prof(tree.cut1$tree.cl, classes, chistable, nbbycl = 60, type.dendro="%s", bw=%s, lab=NULL)
- """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']), ffr(fileout), width, height, svg, type_dendro, bw)
+ """ % (ffr(fileout), width, height, svg, type_dendro, bw)
elif dendro == 'cloud' :
txt += """
load("%s")
f.write(txt)
busy = wx.BusyInfo(_("Please wait...").decode('utf8'), self.parent)
wx.SafeYield()
- error = exec_rcode(self.ira.RPath, tmpfile, wait=True)
+ error = exec_rcode(self.ira.RPath, tmpfile, wait=True)
del busy
check_Rresult(self.ira, error)
self.list_graph.append([fileout, 'Dendrogramme CHD1 - %s' % type_dendro])
if val == wx.ID_OK :
self.make_param(dial)
self.make_dendro()
-
+
def ondendrotexte(self, evt):
self.param['typedendro'] = 'texte'
+ if os.path.exists(self.dictpathout['translations.txt']) :
+ with codecs.open(self.dictpathout['translations.txt'], 'r', 'utf8') as f :
+ content = f.read()
+ print content
+ trans = [line.split('\t')[1] for line in content.splitlines()]
+ trans = [[val, self.dictpathout[val]] for val in trans]
+ self.param['translation'] = trans
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
self.parametres = parametres
fgSizer5 = wx.FlexGridSizer( 0, 2, 0, 0 )
fgSizer5.SetFlexibleDirection( wx.BOTH )
- fgSizer5.SetNonFlexibleGrowMode( wx.FLEX_GROWMODE_SPECIFIED )
+ fgSizer5.SetNonFlexibleGrowMode( wx.FLEX_GROWMODE_SPECIFIED )
self.fgSizer5 = fgSizer5
-
+
self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, _(u"Description of corpus").decode('utf8'), wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
-
+
self.m_staticText19 = wx.StaticText( self, wx.ID_ANY, u"", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText19.Wrap( -1 )
fgSizer5.Add( self.m_staticText19, 0, wx.ALL, 5 )
self.m_staticText20 = wx.StaticText( self, wx.ID_ANY, u"Nom", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText20.Wrap( -1 )
fgSizer5.Add( self.m_staticText20, 0, wx.ALL, 5 )
-
+
self.m_staticText21 = wx.StaticText( self, wx.ID_ANY, parametres['corpus_name'], wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText21.Wrap( -1 )
fgSizer5.Add( self.m_staticText21, 0, wx.ALL, 5 )
self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, u"Paramètres", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
-
+
self.m_staticText19 = wx.StaticText( self, wx.ID_ANY, u"", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText19.Wrap( -1 )
fgSizer5.Add( self.m_staticText19, 0, wx.ALL, 5 )
self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, u"Statistiques", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
-
+
self.m_staticText19 = wx.StaticText( self, wx.ID_ANY, u"", wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText19.Wrap( -1 )
fgSizer5.Add( self.m_staticText19, 0, wx.ALL, 5 )
list_graph = [['labbe-tree.png', _(u'Ward clustering (method ward2)').decode('utf8')],
['labbe-heatmap.png', _(u'Heatmap').decode('utf8')],
['labbe-matrix.png', _(u'Matrix').decode('utf8')]]
- self.TabStatTot = GraphPanel(self.ira.nb, self.pathout, list_graph)
- self.Tab.AddPage(self.TabStatTot, _(u"Labbe's distance").decode('utf8'))
+ for val in list_graph :
+ #self.TabStatTot = GraphPanel(self.ira.nb, self.pathout, [val])
+ self.Tab.AddPage(GraphPanel(self.Tab, self.pathout, [val]), val[1])
self.Tab.corpus = self.corpus
self.Tab.parametres = self.parametres
self.ira.nb.AddPage(self.Tab, u'%s' % self.parametres['name'])
# 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)
+# #res = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], selected = selected, dlg = True)
# #if res.ok :
# prep = PrepSimi(self.ira, self, self.parametres,self.pathout['selected.csv'], self.actives, indices_simi, wordlist = dictcol, selected = selected)
# if prep.val == wx.ID_OK :
# self.parametres = prep.parametres
-#
+#
# script = PrintSimiScript(self)
# script.make_script()
# pid = exec_rcode(self.ira.RPath, script.scriptout, wait = True)
# #'bargraphw' : 60*int(self.param['clnb']),
# }
# web = WebExport(self.ira, parametres)
-# fileout = web.exportsimi()
+# fileout = web.exportsimi()
# else :
# fileout = script.filename
# if os.path.exists(self.pathout['liste_graph']):
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
-
+
def blender(self, evt):
blender(self)
-
+
class DefaultMatLayout :
def __init__(self, parent, tableau, parametres) :
self.tab.parametres = self.parametres
self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
- #self.ira.ShowAPane("Tab_content")
+ #self.ira.ShowAPane("Tab_content")
class ProtoLayout(DefaultMatLayout) :
self.indices = indices_simi
if os.path.exists(self.pathout['liste_graph']) :
list_graph = read_list_file(self.pathout['liste_graph'])
- else :
+ else :
list_graph = [['','']]
notebook_flags = aui.AUI_NB_DEFAULT_STYLE | aui.AUI_NB_TAB_EXTERNAL_MOVE | aui.AUI_NB_TAB_MOVE | aui.AUI_NB_TAB_FLOAT
self.tabsimi = aui.AuiNotebook(self.parent.nb, -1, wx.DefaultPosition)
graph_simi.append([os.path.basename(fileout), self.script.txtgraph])
else :
graph_simi = [[os.path.basename(fileout), self.script.txtgraph]]
- print_liste(self.pathout['liste_graph'], graph_simi)
+ print_liste(self.pathout['liste_graph'], graph_simi)
DoConf().makeoptions([self.parametres['type']], [self.parametres], self.pathout['Analyse.ira'])
if self.parametres['type_graph'] == 1:
if self.parametres['svg'] :
self.graphpan.panel_1.Scroll(0,self.graphpan.panel_1.GetScrollRange(wx.VERTICAL))
else :
self.dial.Destroy()
-
+
def make_param(self) :
if self.parametres['first'] :
'com' : self.dial.comcheck.GetValue(),
'communities' : self.dial.choix_com.GetSelection(),
'edgecurved' : self.dial.check_curved.GetValue(),
- }
+ }
if 'cexfromchi' in self.parametres :
paramsimi['cexfromchi'] = self.dial.checkit.GetValue()
if 'sfromchi' in self.parametres :
if self.parametres['type_graph'] == 1 :
graph = False
wait = False
- else :
+ else :
graph = True
wait = True
pid = exec_rcode(self.parent.RPath, self.tmpfile, wait = wait, graph = graph)
dlg.Pulse(u'R ...')
sleep(0.2)
check_Rresult(self.parent, pid)
-
- def export(self, evt) :
+
+ def export(self, evt) :
nb = 1
while os.path.exists(os.path.join(self.pathout.dirout,'graph_'+str(nb)+'.graphml')):
nb +=1
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
-
+
def blender(self, evt):
blender(self)
-
+
class GraphPanelSimi(wx.Panel):
def __init__(self,parent, dico, list_graph):
wx.Panel.__init__(self,parent)
else :
self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
self.labels.append(wx.StaticText(self.panel_1, -1, list_graph[i][1]))
- self.panel_1.Bind(wx.EVT_MOTION, self.onMouseMove)
+ self.panel_1.Bind(wx.EVT_MOTION, self.onMouseMove)
self.__set_properties()
self.__do_layout()
self.panel_1.SetScrollRate(20, 20)
self.panel_1.SetFocus()
- def __do_layout(self):
+ def __do_layout(self):
self.sizer_1 = wx.BoxSizer(wx.HORIZONTAL)
self.sizer_2 = wx.BoxSizer(wx.VERTICAL)
self.sizer_3 = wx.BoxSizer(wx.VERTICAL)
self.panel_1.SetSizer(self.sizer_3)
self.sizer_1.Add(self.sizer_2, 0, wx.EXPAND, 0)
self.sizer_1.Add(self.panel_1, 1, wx.EXPAND, 0)
- self.SetSizer(self.sizer_1)
+ self.SetSizer(self.sizer_1)
def onMouseMove(self, event):
self.panel_1.SetFocus()
+
projects / iramuteq / commitdiff