openerp/report/custom.py

   1 # -*- coding: utf-8 -*-
   2 ##############################################################################
   3 #
   4 #    OpenERP, Open Source Management Solution
   5 #    Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>).
   6 #
   7 #    This program is free software: you can redistribute it and/or modify
   8 #    it under the terms of the GNU Affero General Public License as
   9 #    published by the Free Software Foundation, either version 3 of the
  10 #    License, or (at your option) any later version.
  11 #
  12 #    This program is distributed in the hope that it will be useful,
  13 #    but WITHOUT ANY WARRANTY; without even the implied warranty of
  14 #    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  15 #    GNU Affero General Public License for more details.
  16 #
  17 #    You should have received a copy of the GNU Affero General Public License
  18 #    along with this program.  If not, see <http://www.gnu.org/licenses/>.
  19 #
  20 ##############################################################################
  21
  22 import os
  23 import time
  24 import openerp.netsvc as netsvc
  25
  26 import openerp.tools as tools
  27 from openerp.tools.safe_eval import safe_eval as eval
  28 import print_xml
  29 import render
  30 from interface import report_int
  31 import common
  32 from openerp.osv.osv import except_osv
  33 from openerp.osv.orm import browse_null
  34 from openerp.osv.orm import browse_record_list
  35 import openerp.pooler as pooler
  36 from pychart import *
  37 import misc
  38 import cStringIO
  39 from lxml import etree
  40 from openerp.tools.translate import _
  41
  42 class external_pdf(render.render):
  43     def __init__(self, pdf):
  44         render.render.__init__(self)
  45         self.pdf = pdf
  46         self.output_type='pdf'
  47     def _render(self):
  48         return self.pdf
  49
  50 theme.use_color = 1
  51
  52
  53 #TODO: devrait heriter de report_rml a la place de report_int
  54 # -> pourrait overrider que create_xml a la place de tout create
  55 # heuu, ca marche pas ds tous les cas car graphs sont generes en pdf directment
  56 # par pychart, et on passe donc pas par du rml
  57 class report_custom(report_int):
  58     def __init__(self, name):
  59         report_int.__init__(self, name)
  60     #
  61     # PRE:
  62     #    fields = [['address','city'],['name'], ['zip']]
  63     #    conditions = [[('zip','==','3'),(,)],(,),(,)] #same structure as fields
  64     #    row_canvas = ['Rue', None, None]
  65     # POST:
  66     #    [ ['ville','name','zip'] ]
  67     #
  68     def _row_get(self, cr, uid, objs, fields, conditions, row_canvas=None, group_by=None):
  69         result = []
  70         tmp = []
  71         for obj in objs:
  72             tobreak = False
  73             for cond in conditions:
  74                 if cond and cond[0]:
  75                     c = cond[0]
  76                     temp = c[0](eval('obj.'+c[1],{'obj': obj}))
  77                     if not eval('\''+temp+'\''+' '+c[2]+' '+'\''+str(c[3])+'\''):
  78                         tobreak = True
  79             if tobreak:
  80                 break
  81             levels = {}
  82             row = []
  83             for i in range(len(fields)):
  84                 if not fields[i]:
  85                     row.append(row_canvas and row_canvas[i])
  86                     if row_canvas[i]:
  87                         row_canvas[i]=False
  88                 elif len(fields[i])==1:
  89                     if not isinstance(obj, browse_null):
  90                         row.append(str(eval('obj.'+fields[i][0],{'obj': obj})))
  91                     else:
  92                         row.append(None)
  93                 else:
  94                     row.append(None)
  95                     levels[fields[i][0]]=True
  96             if not levels:
  97                 result.append(row)
  98             else:
  99                 # Process group_by data first
 100                 key = []
 101                 if group_by != None and fields[group_by] != None:
 102                     if fields[group_by][0] in levels.keys():
 103                         key.append(fields[group_by][0])
 104                     for l in levels.keys():
 105                         if l != fields[group_by][0]:
 106                             key.append(l)
 107                 else:
 108                     key = levels.keys()
 109                 for l in key:
 110                     objs = eval('obj.'+l,{'obj': obj})
 111                     if not isinstance(objs, browse_record_list) and type(objs) <> type([]):
 112                         objs = [objs]
 113                     field_new = []
 114                     cond_new = []
 115                     for f in range(len(fields)):
 116                         if (fields[f] and fields[f][0])==l:
 117                             field_new.append(fields[f][1:])
 118                             cond_new.append(conditions[f][1:])
 119                         else:
 120                             field_new.append(None)
 121                             cond_new.append(None)
 122                     if len(objs):
 123                         result += self._row_get(cr, uid, objs, field_new, cond_new, row, group_by)
 124                     else:
 125                         result.append(row)
 126         return result
 127
 128
 129     def create(self, cr, uid, ids, datas, context=None):
 130         if not context:
 131             context={}
 132         self.pool = pooler.get_pool(cr.dbname)
 133         report = self.pool.get('ir.report.custom').browse(cr, uid, [datas['report_id']])[0]
 134         datas['model'] = report.model_id.model
 135         if report.menu_id:
 136             ids = self.pool.get(report.model_id.model).search(cr, uid, [])
 137             datas['ids'] = ids
 138
 139         report_id = datas['report_id']
 140         report = self.pool.get('ir.report.custom').read(cr, uid, [report_id], context=context)[0]
 141         fields = self.pool.get('ir.report.custom.fields').read(cr, uid, report['fields_child0'], context=context)
 142
 143         fields.sort(lambda x,y : x['sequence'] - y['sequence'])
 144
 145         if report['field_parent']:
 146             parent_field = self.pool.get('ir.model.fields').read(cr, uid, [report['field_parent'][0]], ['model'])
 147         model_name = self.pool.get('ir.model').read(cr, uid, [report['model_id'][0]], ['model'], context=context)[0]['model']
 148
 149         fct = {}
 150         fct['id'] = lambda x : x
 151         fct['gety'] = lambda x: x.split('-')[0]
 152         fct['in'] = lambda x: x.split(',')
 153         new_fields = []
 154         new_cond = []
 155         for f in fields:
 156             row = []
 157             cond = []
 158             for i in range(4):
 159                 field_child = f['field_child'+str(i)]
 160                 if field_child:
 161                     row.append(
 162                         self.pool.get('ir.model.fields').read(cr, uid, [field_child[0]], ['name'], context=context)[0]['name']
 163                     )
 164                     if f['fc'+str(i)+'_operande']:
 165                         fct_name = 'id'
 166                         cond_op =  f['fc'+str(i)+'_op']
 167                         if len(f['fc'+str(i)+'_op'].split(',')) == 2:
 168                             cond_op =  f['fc'+str(i)+'_op'].split(',')[1]
 169                             fct_name = f['fc'+str(i)+'_op'].split(',')[0]
 170                         cond.append((fct[fct_name], f['fc'+str(i)+'_operande'][1], cond_op, f['fc'+str(i)+'_condition']))
 171                     else:
 172                         cond.append(None)
 173             new_fields.append(row)
 174             new_cond.append(cond)
 175         objs = self.pool.get(model_name).browse(cr, uid, ids)
 176
 177         # Group by
 178         groupby = None
 179         idx = 0
 180         for f in fields:
 181             if f['groupby']:
 182                 groupby = idx
 183             idx += 1
 184
 185
 186         results = []
 187         if report['field_parent']:
 188             level = []
 189             def build_tree(obj, level, depth):
 190                 res = self._row_get(cr, uid,[obj], new_fields, new_cond)
 191                 level.append(depth)
 192                 new_obj = eval('obj.'+report['field_parent'][1],{'obj': obj})
 193                 if not isinstance(new_obj, list) :
 194                     new_obj = [new_obj]
 195                 for o in  new_obj:
 196                     if not isinstance(o, browse_null):
 197                         res += build_tree(o, level, depth+1)
 198                 return res
 199
 200             for obj in objs:
 201                 results += build_tree(obj, level, 0)
 202         else:
 203             results = self._row_get(cr, uid,objs, new_fields, new_cond, group_by=groupby)
 204
 205         fct = {
 206             'calc_sum': lambda l: reduce(lambda x,y: float(x)+float(y), filter(None, l), 0),
 207             'calc_avg': lambda l: reduce(lambda x,y: float(x)+float(y), filter(None, l), 0) / (len(filter(None, l)) or 1.0),
 208             'calc_max': lambda l: reduce(lambda x,y: max(x,y), [(i or 0.0) for i in l], 0),
 209             'calc_min': lambda l: reduce(lambda x,y: min(x,y), [(i or 0.0) for i in l], 0),
 210             'calc_count': lambda l: len(filter(None, l)),
 211             'False': lambda l: '\r\n'.join(filter(None, l)),
 212             'groupby': lambda l: reduce(lambda x,y: x or y, l)
 213         }
 214         new_res = []
 215
 216         prev = None
 217         if groupby != None:
 218             res_dic = {}
 219             for line in results:
 220                 if not line[groupby] and prev in res_dic:
 221                     res_dic[prev].append(line)
 222                 else:
 223                     prev = line[groupby]
 224                     if res_dic.has_key(line[groupby]):
 225                         res_dic[line[groupby]].append(line)
 226                     else:
 227                         res_dic[line[groupby]] = []
 228                         res_dic[line[groupby]].append(line)
 229             #we use the keys in results since they are ordered, whereas in res_dic.heys() they aren't
 230             for key in filter(None, [x[groupby] for x in results]):
 231                 row = []
 232                 for col in range(len(fields)):
 233                     if col == groupby:
 234                         row.append(fct['groupby'](map(lambda x: x[col], res_dic[key])))
 235                     else:
 236                         row.append(fct[str(fields[col]['operation'])](map(lambda x: x[col], res_dic[key])))
 237                 new_res.append(row)
 238             results = new_res
 239
 240         if report['type']=='table':
 241             if report['field_parent']:
 242                 res = self._create_tree(uid, ids, report, fields, level, results, context)
 243             else:
 244                 sort_idx = 0
 245                 for idx in range(len(fields)):
 246                     if fields[idx]['name'] == report['sortby']:
 247                         sort_idx = idx
 248                         break
 249                 try :
 250                     results.sort(lambda x,y : cmp(float(x[sort_idx]),float(y[sort_idx])))
 251                 except :
 252                     results.sort(lambda x,y : cmp(x[sort_idx],y[sort_idx]))
 253                 if report['limitt']:
 254                     results = results[:int(report['limitt'])]
 255                 res = self._create_table(uid, ids, report, fields, None, results, context)
 256         elif report['type'] in ('pie','bar', 'line'):
 257             results2 = []
 258             prev = False
 259             for r in results:
 260                 row = []
 261                 for j in range(len(r)):
 262                     if j == 0 and not r[j]:
 263                         row.append(prev)
 264                     elif j == 0 and r[j]:
 265                         prev = r[j]
 266                         row.append(r[j])
 267                     else:
 268                         try:
 269                             row.append(float(r[j]))
 270                         except:
 271                             row.append(r[j])
 272                 results2.append(row)
 273             if report['type']=='pie':
 274                 res = self._create_pie(cr,uid, ids, report, fields, results2, context)
 275             elif report['type']=='bar':
 276                 res = self._create_bars(cr,uid, ids, report, fields, results2, context)
 277             elif report['type']=='line':
 278                 res = self._create_lines(cr,uid, ids, report, fields, results2, context)
 279         return (self.obj.get(), 'pdf')
 280
 281     def _create_tree(self, uid, ids, report, fields, level, results, context):
 282         pageSize=common.pageSize.get(report['print_format'], [210.0,297.0])
 283         if report['print_orientation']=='landscape':
 284             pageSize=[pageSize[1],pageSize[0]]
 285
 286         new_doc = etree.Element('report')
 287
 288         config = etree.SubElement(new_doc, 'config')
 289
 290         def _append_node(name, text):
 291             n = etree.SubElement(config, name)
 292             n.text = text
 293
 294         _append_node('date', time.strftime('%d/%m/%Y'))
 295         _append_node('PageFormat', '%s' % report['print_format'])
 296         _append_node('PageSize', '%.2fmm,%.2fmm' % tuple(pageSize))
 297         _append_node('PageWidth', '%.2f' % (pageSize[0] * 2.8346,))
 298         _append_node('PageHeight', '%.2f' %(pageSize[1] * 2.8346,))
 299
 300         length = pageSize[0]-30-reduce(lambda x,y:x+(y['width'] or 0), fields, 0)
 301         count = 0
 302         for f in fields:
 303             if not f['width']: count+=1
 304         for f in fields:
 305             if not f['width']:
 306                 f['width']=round((float(length)/count)-0.5)
 307
 308         _append_node('tableSize', '%s' %  ','.join(map(lambda x: '%.2fmm' % (x['width'],), fields)))
 309         _append_node('report-header', '%s' % (report['title'],))
 310         _append_node('report-footer', '%s' % (report['footer'],))
 311
 312         header = etree.SubElement(new_doc, 'header')
 313         for f in fields:
 314             field = etree.SubElement(header, 'field')
 315             field.text = f['name']
 316
 317         lines = etree.SubElement(new_doc, 'lines')
 318         level.reverse()
 319         for line in results:
 320             shift = level.pop()
 321             node_line = etree.SubElement(lines, 'row')
 322             prefix = '+'
 323             for f in range(len(fields)):
 324                 col = etree.SubElement(node_line, 'col')
 325                 if f == 0:
 326                     col.attrib.update(para='yes',
 327                                       tree='yes',
 328                                       space=str(3*shift)+'mm')
 329                 if line[f] != None:
 330                     col.text = prefix+str(line[f]) or ''
 331                 else:
 332                     col.text = '/'
 333                 prefix = ''
 334
 335         transform = etree.XSLT(
 336             etree.parse(os.path.join(tools.config['root_path'],
 337                                      'addons/base/report/custom_new.xsl')))
 338         rml = etree.tostring(transform(new_doc))
 339
 340         self.obj = render.rml(rml)
 341         self.obj.render()
 342         return True
 343
 344
 345     def _create_lines(self, cr, uid, ids, report, fields, results, context):
 346         pool = pooler.get_pool(cr.dbname)
 347         pdf_string = cStringIO.StringIO()
 348         can = canvas.init(fname=pdf_string, format='pdf')
 349
 350         can.show(80,380,'/16/H'+report['title'])
 351
 352         ar = area.T(size=(350,350),
 353         #x_coord = category_coord.T(['2005-09-01','2005-10-22'],0),
 354         x_axis = axis.X(label = fields[0]['name'], format="/a-30{}%s"),
 355         y_axis = axis.Y(label = ', '.join(map(lambda x : x['name'], fields[1:]))))
 356
 357         process_date = {}
 358         process_date['D'] = lambda x : reduce(lambda xx,yy : xx+'-'+yy,x.split('-')[1:3])
 359         process_date['M'] = lambda x : x.split('-')[1]
 360         process_date['Y'] = lambda x : x.split('-')[0]
 361
 362         order_date = {}
 363         order_date['D'] = lambda x : time.mktime((2005,int(x.split('-')[0]), int(x.split('-')[1]),0,0,0,0,0,0))
 364         order_date['M'] = lambda x : x
 365         order_date['Y'] = lambda x : x
 366
 367         abscissa = []
 368         tmp = {}
 369
 370         idx = 0
 371         date_idx = None
 372         fct = {}
 373         for f in fields:
 374             field_id = (f['field_child3'] and f['field_child3'][0]) or (f['field_child2'] and f['field_child2'][0]) or (f['field_child1'] and f['field_child1'][0]) or (f['field_child0'] and f['field_child0'][0])
 375             if field_id:
 376                 type = pool.get('ir.model.fields').read(cr, uid, [field_id],['ttype'])
 377                 if type[0]['ttype'] == 'date':
 378                     date_idx = idx
 379                     fct[idx] = process_date[report['frequency']]
 380                 else:
 381                     fct[idx] = lambda x : x
 382             else:
 383                 fct[idx] = lambda x : x
 384             idx+=1
 385
 386         # plots are usually displayed year by year
 387         # so we do so if the first field is a date
 388         data_by_year = {}
 389         if date_idx != None:
 390             for r in results:
 391                 key = process_date['Y'](r[date_idx])
 392                 if not data_by_year.has_key(key):
 393                     data_by_year[key] = []
 394                 for i in range(len(r)):
 395                     r[i] = fct[i](r[i])
 396                 data_by_year[key].append(r)
 397         else:
 398             data_by_year[''] = results
 399
 400         idx0 = 0
 401         nb_bar = len(data_by_year)*(len(fields)-1)
 402         colors = map(lambda x:line_style.T(color=x), misc.choice_colors(nb_bar))
 403         abscissa = {}
 404         for line in data_by_year.keys():
 405             fields_bar = []
 406             # sum data and save it in a list. An item for a fields
 407             for d in data_by_year[line]:
 408                 for idx in range(len(fields)-1):
 409                     fields_bar.append({})
 410                     if fields_bar[idx].has_key(d[0]):
 411                         fields_bar[idx][d[0]] += d[idx+1]
 412                     else:
 413                         fields_bar[idx][d[0]] = d[idx+1]
 414             for idx  in range(len(fields)-1):
 415                 data = {}
 416                 for k in fields_bar[idx].keys():
 417                     if data.has_key(k):
 418                         data[k] += fields_bar[idx][k]
 419                     else:
 420                         data[k] = fields_bar[idx][k]
 421                 data_cum = []
 422                 prev = 0.0
 423                 keys = data.keys()
 424                 keys.sort()
 425                 # cumulate if necessary
 426                 for k in keys:
 427                     data_cum.append([k, float(data[k])+float(prev)])
 428                     if fields[idx+1]['cumulate']:
 429                         prev += data[k]
 430                 idx0 = 0
 431                 plot = line_plot.T(label=fields[idx+1]['name']+' '+str(line), data = data_cum, line_style=colors[idx0*(len(fields)-1)+idx])
 432                 ar.add_plot(plot)
 433                 abscissa.update(fields_bar[idx])
 434                 idx0 += 1
 435
 436         abscissa = map(lambda x : [x, None], abscissa)
 437         ar.x_coord = category_coord.T(abscissa,0)
 438         ar.draw(can)
 439
 440         can.close()
 441         self.obj = external_pdf(pdf_string.getvalue())
 442         self.obj.render()
 443         pdf_string.close()
 444         return True
 445
 446
 447
 448     def _create_bars(self, cr, uid, ids, report, fields, results, context):
 449         pool = pooler.get_pool(cr.dbname)
 450         pdf_string = cStringIO.StringIO()
 451         can = canvas.init(fname=pdf_string, format='pdf')
 452
 453         can.show(80,380,'/16/H'+report['title'])
 454
 455         process_date = {}
 456         process_date['D'] = lambda x : reduce(lambda xx,yy : xx+'-'+yy,x.split('-')[1:3])
 457         process_date['M'] = lambda x : x.split('-')[1]
 458         process_date['Y'] = lambda x : x.split('-')[0]
 459
 460         order_date = {}
 461         order_date['D'] = lambda x : time.mktime((2005,int(x.split('-')[0]), int(x.split('-')[1]),0,0,0,0,0,0))
 462         order_date['M'] = lambda x : x
 463         order_date['Y'] = lambda x : x
 464
 465         ar = area.T(size=(350,350),
 466             x_axis = axis.X(label = fields[0]['name'], format="/a-30{}%s"),
 467             y_axis = axis.Y(label = ', '.join(map(lambda x : x['name'], fields[1:]))))
 468
 469         idx = 0
 470         date_idx = None
 471         fct = {}
 472         for f in fields:
 473             field_id = (f['field_child3'] and f['field_child3'][0]) or (f['field_child2'] and f['field_child2'][0]) or (f['field_child1'] and f['field_child1'][0]) or (f['field_child0'] and f['field_child0'][0])
 474             if field_id:
 475                 type = pool.get('ir.model.fields').read(cr, uid, [field_id],['ttype'])
 476                 if type[0]['ttype'] == 'date':
 477                     date_idx = idx
 478                     fct[idx] = process_date[report['frequency']]
 479                 else:
 480                     fct[idx] = lambda x : x
 481             else:
 482                 fct[idx] = lambda x : x
 483             idx+=1
 484
 485         # plot are usually displayed year by year
 486         # so we do so if the first field is a date
 487         data_by_year = {}
 488         if date_idx != None:
 489             for r in results:
 490                 key = process_date['Y'](r[date_idx])
 491                 if not data_by_year.has_key(key):
 492                     data_by_year[key] = []
 493                 for i in range(len(r)):
 494                     r[i] = fct[i](r[i])
 495                 data_by_year[key].append(r)
 496         else:
 497             data_by_year[''] = results
 498
 499
 500         nb_bar = len(data_by_year)*(len(fields)-1)
 501         colors = map(lambda x:fill_style.Plain(bgcolor=x), misc.choice_colors(nb_bar))
 502
 503         abscissa = {}
 504         for line in data_by_year.keys():
 505             fields_bar = []
 506             # sum data and save it in a list. An item for a fields
 507             for d in data_by_year[line]:
 508                 for idx in range(len(fields)-1):
 509                     fields_bar.append({})
 510                     if fields_bar[idx].has_key(d[0]):
 511                         fields_bar[idx][d[0]] += d[idx+1]
 512                     else:
 513                         fields_bar[idx][d[0]] = d[idx+1]
 514             for idx  in range(len(fields)-1):
 515                 data = {}
 516                 for k in fields_bar[idx].keys():
 517                     if data.has_key(k):
 518                         data[k] += fields_bar[idx][k]
 519                     else:
 520                         data[k] = fields_bar[idx][k]
 521                 data_cum = []
 522                 prev = 0.0
 523                 keys = data.keys()
 524                 keys.sort()
 525                 # cumulate if necessary
 526                 for k in keys:
 527                     data_cum.append([k, float(data[k])+float(prev)])
 528                     if fields[idx+1]['cumulate']:
 529                         prev += data[k]
 530
 531                 idx0 = 0
 532                 plot = bar_plot.T(label=fields[idx+1]['name']+' '+str(line), data = data_cum, cluster=(idx0*(len(fields)-1)+idx,nb_bar), fill_style=colors[idx0*(len(fields)-1)+idx])
 533                 ar.add_plot(plot)
 534                 abscissa.update(fields_bar[idx])
 535             idx0 += 1
 536         abscissa = map(lambda x : [x, None], abscissa)
 537         abscissa.sort()
 538         ar.x_coord = category_coord.T(abscissa,0)
 539         ar.draw(can)
 540
 541         can.close()
 542         self.obj = external_pdf(pdf_string.getvalue())
 543         self.obj.render()
 544         pdf_string.close()
 545         return True
 546
 547     def _create_pie(self, cr, uid, ids, report, fields, results, context):
 548         pdf_string = cStringIO.StringIO()
 549         can = canvas.init(fname=pdf_string, format='pdf')
 550         ar = area.T(size=(350,350), legend=legend.T(),
 551                     x_grid_style = None, y_grid_style = None)
 552         colors = map(lambda x:fill_style.Plain(bgcolor=x), misc.choice_colors(len(results)))
 553
 554         if reduce(lambda x,y : x+y, map(lambda x : x[1],results)) == 0.0:
 555             raise except_osv(_('Error'), _("The sum of the data (2nd field) is null.\nWe can't draw a pie chart !"))
 556
 557         plot = pie_plot.T(data=results, arc_offsets=[0,10,0,10],
 558                           shadow = (2, -2, fill_style.gray50),
 559                           label_offset = 25,
 560                           arrow_style = arrow.a3,
 561                           fill_styles=colors)
 562         ar.add_plot(plot)
 563         ar.draw(can)
 564         can.close()
 565         self.obj = external_pdf(pdf_string.getvalue())
 566         self.obj.render()
 567         pdf_string.close()
 568         return True
 569
 570     def _create_table(self, uid, ids, report, fields, tree, results, context):
 571         pageSize=common.pageSize.get(report['print_format'], [210.0,297.0])
 572         if report['print_orientation']=='landscape':
 573             pageSize=[pageSize[1],pageSize[0]]
 574
 575         new_doc = etree.Element('report')
 576         config = etree.SubElement(new_doc, 'config')
 577
 578         def _append_node(name, text):
 579             n = etree.SubElement(config, name)
 580             n.text = text
 581
 582         _append_node('date', time.strftime('%d/%m/%Y'))
 583         _append_node('PageSize', '%.2fmm,%.2fmm' % tuple(pageSize))
 584         _append_node('PageFormat', '%s' % report['print_format'])
 585         _append_node('PageWidth', '%.2f' % (pageSize[0] * 2.8346,))
 586         _append_node('PageHeight', '%.2f' %(pageSize[1] * 2.8346,))
 587
 588         length = pageSize[0]-30-reduce(lambda x,y:x+(y['width'] or 0), fields, 0)
 589         count = 0
 590         for f in fields:
 591             if not f['width']: count+=1
 592         for f in fields:
 593             if not f['width']:
 594                 f['width']=round((float(length)/count)-0.5)
 595
 596         _append_node('tableSize', '%s' %  ','.join(map(lambda x: '%.2fmm' % (x['width'],), fields)))
 597         _append_node('report-header', '%s' % (report['title'],))
 598         _append_node('report-footer', '%s' % (report['footer'],))
 599
 600         header = etree.SubElement(new_doc, 'header')
 601         for f in fields:
 602             field = etree.SubElement(header, 'field')
 603             field.text = f['name']
 604
 605         lines = etree.SubElement(new_doc, 'lines')
 606         for line in results:
 607             node_line = etree.SubElement(lines, 'row')
 608             for f in range(len(fields)):
 609                 col = etree.SubElement(node_line, 'col', tree='no')
 610                 if line[f] != None:
 611                     col.text = line[f] or ''
 612                 else:
 613                     col.text = '/'
 614
 615         transform = etree.XSLT(
 616             etree.parse(os.path.join(tools.config['root_path'],
 617                                      'addons/base/report/custom_new.xsl')))
 618         rml = etree.tostring(transform(new_doc))
 619
 620         self.obj = render.rml(rml)
 621         self.obj.render()
 622         return True
 623 report_custom('report.custom')
 624
 625
 626 # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
 627