1 # -*- coding: utf-8 -*-
2 #Author: Pierre Ratinaud
3 #Copyright (c) 2008-2013 Pierre Ratinaud
6 from chemins import ffr, simipath
7 #from corpus import Corpus
9 from analysetxt import AnalyseText
10 #from ConfigParser import RawConfigParser
11 #from guifunct import getPage, getCorpus
12 from dialog import StatDialog
13 from guifunct import SelectColumn, PrepSimi
14 from functions import indices_simi, progressbar, treat_var_mod, read_list_file, print_liste
15 #from tableau import Tableau
16 #from tabsimi import DoSimi
17 from PrintRScript import PrintSimiScript
23 log = logging.getLogger('iramuteq.textsimi')
25 class SimiTxt(AnalyseText):
27 self.parametres['type'] = 'simitxt'
28 self.pathout.basefiles(simipath)
29 self.indices = indices_simi
32 self.actives = self.corpus.make_actives_limit(3)
33 dictcol = dict([[i, [act, self.corpus.getlemeff(act)]] for i, act in enumerate(self.actives)])
36 #cont = SelectColumn(self.ira, dictcol, self.actives, self.pathout['selected.csv'], dlg = self.dlg)
38 self.listet = self.corpus.make_etoiles()
40 self.stars = copy(self.listet)
41 self.parametres['stars'] = copy(self.listet)
42 self.parametres['sfromchi'] = False
43 prep = PrepSimi(self.ira, self, self.parametres, self.pathout['selected.csv'], self.actives, indices_simi, wordlist=dictcol)
44 if prep.val == wx.ID_OK :
46 self.parametres = prep.parametres
49 script = PrintSimiScript(self)
51 if not self.doR(script.scriptout, dlg = self.dlg, message = 'R...') :
54 if self.parametres['type_graph'] == 1:
55 if os.path.exists(self.pathout['liste_graph']):
56 graph_simi = read_list_file(self.pathout['liste_graph'])
57 graph_simi.append([os.path.basename(script.filename), script.txtgraph])
59 graph_simi = [[os.path.basename(script.filename), script.txtgraph]]
60 print_liste(self.pathout['liste_graph'], graph_simi)
64 # def preferences(self) :
65 # dial = StatDialog(self, self.parent)
66 # dial.CenterOnParent()
67 # val = dial.ShowModal()
69 # if dial.radio_lem.GetSelection() == 0 :
73 # self.parametres['lem'] = lem
75 # return self.parametres
80 def makesimiparam(self) :
81 self.paramsimi = {'coeff' : 0,
103 'cola' : (200,200,200),
115 #'ira' : self.pathout['Analyse.ira']
117 self.parametres.update(self.paramsimi)
119 def makefiles(self, lim=3) :
120 #self.actives, lim = self.corpus.make_actives_nb(self.parametres.get('max_actives',1500), 1)
121 self.parametres['eff_min_forme'] = lim
122 self.parametres['nbactives'] = len(self.actives)
123 self.parametres['fromprof'] = False
124 self.corpus.make_and_write_sparse_matrix_from_uces(self.actives, self.pathout['mat01.csv'], self.pathout['listeuce1.csv'])
125 with open(self.pathout['actives.csv'], 'w') as f :
126 f.write('\n'.join(self.actives).encode(self.ira.syscoding))
128 class SimiFromCluster(SimiTxt) :
129 def __init__(self, ira, corpus, actives, numcluster, parametres = None, dlg = False) :
130 self.actives = actives
131 self.numcluster = numcluster
132 parametres['name'] = 'simi_classe_%i' % (numcluster + 1)
133 SimiTxt.__init__(self, ira, corpus, parametres, dlg, lemdial = False)
135 def preferences(self) :
136 return self.parametres
138 def doanalyse(self) :
139 self.parametres['type'] = 'clustersimitxt'
140 self.pathout.basefiles(simipath)
141 self.indices = indices_simi
143 if 'bystar' in self.parametres :
144 del self.parametres['bystar']
145 dictcol = dict([[i, [act, self.corpus.getlemclustereff(act, self.numcluster)]] for i, act in enumerate(self.actives)])
148 #self.listet = self.corpus.make_etoiles()
150 self.stars = []#copy(self.listet)
151 self.parametres['stars'] = False#copy(self.listet)
152 self.parametres['sfromchi'] = True
153 prep = PrepSimi(self.ira, self, self.parametres, self.pathout['selected.csv'], self.actives, indices_simi, wordlist=dictcol)
154 if prep.val == wx.ID_OK :
156 self.parametres = prep.parametres
161 script = PrintSimiScript(self)
163 if not self.doR(script.scriptout, dlg = self.dlg, message = 'R ...') :
165 if self.parametres['type_graph'] == 1:
166 if self.parametres['svg'] :
167 filename, ext = os.path.splitext(script.filename)
168 fileout = filename + '.svg'
170 fileout = self.script.filename
171 if os.path.exists(self.pathout['liste_graph']):
172 graph_simi = read_list_file(self.pathout['liste_graph'])
173 graph_simi.append([os.path.basename(fileout), script.txtgraph])
175 graph_simi = [[os.path.basename(fileout), script.txtgraph]]
176 print_liste(self.pathout['liste_graph'], graph_simi)
180 def makefiles(self) :
181 self.parametres['eff_min_forme'] = 3
182 self.parametres['nbactives'] = len(self.actives)
183 self.parametres['fromprof'] = True
184 self.corpus.make_and_write_sparse_matrix_from_classe(self.actives, self.corpus.lc[self.numcluster], self.pathout['mat01.csv'])
185 with open(self.pathout['actives.csv'], 'w') as f :
186 f.write('\n'.join(self.actives).encode(self.ira.syscoding))