def creat_area(self, size, xaxis, yaxis, y_range=(0, None)):
ar = area.T(size=size,
x_coord=category_coord.T(self.data, 0),
x_axis=xaxis,
y_axis=yaxis,
y_range=y_range,
bg_style=fill_style.gray90,
x_grid_style=line_style.gray70,
border_line_style=line_style.default)
return ar
def _create_bars(self, cr, uid, ids, report, fields, results, context):
env = openerp.api.Environment(cr, uid, context or {})
pdf_string = cStringIO.StringIO()
can = canvas.init(fname=pdf_string, format='pdf')
can.show(80, 380, '/16/H' + report['title'])
process_date = {
'D': lambda x: reduce(lambda xx, yy: xx + '-' + yy,
x.split('-')[1:3]),
'M': lambda x: x.split('-')[1],
'Y': lambda x: x.split('-')[0]
}
ar = area.T(size=(350, 350),
x_axis=axis.X(label=fields[0]['name'], format="/a-30{}%s"),
y_axis=axis.Y(
label=', '.join(map(lambda x: x['name'], fields[1:]))))
idx = 0
date_idx = None
fct = {}
for f in fields:
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])
if field_id:
ttype = env['ir.model.fields'].browse(field_id).ttype
if ttype == 'date':
date_idx = idx
fct[idx] = process_date[report['frequency']]
else:
fct[idx] = lambda x: x
else:
fct[idx] = lambda x: x
idx += 1
# plot are usually displayed year by year
# so we do so if the first field is a date
data_by_year = {}
if date_idx is not None:
for r in results:
key = process_date['Y'](r[date_idx])
if key not in data_by_year:
data_by_year[key] = []
for i in range(len(r)):
r[i] = fct[i](r[i])
data_by_year[key].append(r)
else:
data_by_year[''] = results
nb_bar = len(data_by_year) * (len(fields) - 1)
colors = map(lambda x: fill_style.Plain(bgcolor=x),
misc.choice_colors(nb_bar))
abscissa = {}
for line in data_by_year.keys():
fields_bar = []
# sum data and save it in a list. An item for a fields
for d in data_by_year[line]:
for idx in range(len(fields) - 1):
fields_bar.append({})
if d[0] in fields_bar[idx]:
fields_bar[idx][d[0]] += d[idx + 1]
else:
fields_bar[idx][d[0]] = d[idx + 1]
for idx in range(len(fields) - 1):
data = {}
for k in fields_bar[idx].keys():
if k in data:
data[k] += fields_bar[idx][k]
else:
data[k] = fields_bar[idx][k]
data_cum = []
prev = 0.0
keys = data.keys()
keys.sort()
# cumulate if necessary
for k in keys:
data_cum.append([k, float(data[k]) + float(prev)])
if fields[idx + 1]['cumulate']:
prev += data[k]
idx0 = 0
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])
ar.add_plot(plot)
abscissa.update(fields_bar[idx])
idx0 += 1
abscissa = map(lambda x: [x, None], abscissa)
abscissa.sort()
ar.x_coord = category_coord.T(abscissa, 0)
ar.draw(can)
can.close()
self.obj = external_pdf(pdf_string.getvalue())
self.obj.render()
pdf_string.close()
return True