def detailchart(self, chartable):
theme.reinitialize()
min_y = 0
max_y = 0
capture = chartable.get('capture')
for sortname, sortfn in self.sorts:
data = capture[sortname]
m = median(data)
if m > max_y:
max_y = m
max_x = max(self.limits)
min_x = min(self.limits)
ipoints = 10.0
x_interval = (max_x - min_x) / ipoints
y_interval = (max_y - min_y) / ipoints
xaxis = axis.X(label='Limit',
tic_interval = x_interval,
format='/4{}%d')
yaxis = axis.Y(label='Seconds',
tic_interval = y_interval,
format='/4{}%0.3f')
ar = area.T(
x_range = (min_x, max_x),
y_range = (min_y, max_y),
x_axis = xaxis,
y_axis = yaxis,
legend = legend.T(),
)
tb = text_box.T(loc=(140,90), text='Rlen\n%s' % chartable['rlen'])
for sortname, sortfn in self.sorts:
data = capture[sortname]
linedata = [ (self.limits[x], data[x]) for x in range(len(data)) ]
ar.add_plot(
line_plot.T(label="%s" % sortname, data=linedata)
)
fd = open('detail-%s-%s.pdf' % (self.dbkey, chartable['rlen']), 'w')
can = canvas.init(fd, 'pdf')
ar.draw(can)
tb.draw(can)
can.close()
def create_graph(label_x, label_y, data_x, alldata_y, filename, title,
start_date, end_date, start_y, end_y):
"""
main func
"""
# alter file name (linpng do not seems to like spaces in filenames
filename = filename.replace(' ', '_')
# Graph style
theme.get_options()
theme.use_color = True
theme.default_font_size = 12
theme.default_font_family = "AvantGarde-Book"
theme.reinitialize()
colors = [
color.blue,
color.red,
color.green,
color.magenta,
color.cyan1,
color.orange,
]
can = canvas.init("%s" % filename)
# Draw graph title
newtitle = "/hL/20%s" % title
left = WIDTH / 2 - font.text_width(newtitle) / 2
can.show(left, HEIGHT + DELTA, newtitle)
int_to_date = lambda x: '/a60{}' + time.strftime("%H:%M", time.localtime(x)
)
xaxis = axis.X(format=int_to_date,
label="/20%s" % label_x,
label_offset=(0, -DELTA),
minor_tic_interval=X_MINOR_TICK_INTERVAL,
tic_interval=X_TICK_INTERVAL)
yaxis = axis.Y(
label="/20%s" % label_y,
label_offset=(-DELTA, 0),
minor_tic_interval=(end_y - start_y) / 20,
tic_interval=(end_y - start_y) / 5,
)
ar = area.T(size=(WIDTH, HEIGHT),
x_axis=xaxis,
y_axis=yaxis,
x_grid_style=line_style.gray70_dash3,
x_range=(start_date, end_date),
y_range=(start_y, end_y),
x_grid_interval=X_GRID_INTERVAL,
y_grid_interval=(end_y - start_y) / 5)
i = 0
# Draw a line for each columns
for title, data_y in alldata_y.iteritems():
plot = line_plot.T(label=title,
data=zip(data_x, data_y),
line_style=line_style.T(color=colors[i], width=1))
ar.add_plot(plot)
i += 1
ar.draw()
can.close()
return True
def comparisonchart(self, sortname1, sortname2):
linedata = []
test_total = 0
test_wrong = 0
for rlendata in self.main:
rlen = rlendata['rlen']
capture = rlendata['capture']
values1 = capture[sortname1]
values2 = capture[sortname2]
doc_ratio = rlen / float(self.numdocs)
cutoff = None
wins = []
#test = sortname1 == 'fwscan' and sortname2 in ('nbest', 'timsort')
#test_fn = fwscan_wins
test = sortname1 == 'nbest' and sortname2 == 'timsort'
test_fn = nbest_ascending_wins
for x in xrange(0, min(len(values1), len(values2))):
t1 = values1[x]
t2 = values2[x]
limit = self.limits[x]
limitratio = limit / float(self.numdocs)
won = t1 < t2
if won:
wins.append(limit)
wrongmsg = "wrong %s? rlen %s, limit %s (%0.5f > %0.5f)%s"
if test:
test_total += 1
curvewin = test_fn(limit, rlen, self.numdocs)
if won and (not curvewin):
extra = ''
if (t1 / t2) < .90: # more than 10% difference
extra = " * (%0.2f)" % (t1 / t2)
print wrongmsg % ('curvelose', rlen, limit, t2, t1,
extra)
test_wrong += 1
elif (not won) and curvewin:
extra = ''
if (t2 / t1) < .90: # more than 10% difference
extra = " * (%0.2f)" % (t2 / t1)
print wrongmsg % ('curvewin', rlen, limit, t1, t2,
extra)
test_wrong += 1
for limit in wins:
limitratio = limit / float(self.numdocs)
linedata.append((doc_ratio, limitratio))
if test:
if test_total:
test_right = test_total - test_wrong
test_percent = test_right / float(test_total)
print "test percentage %0.2f: (%s wrong out of %s)" % (
test_percent, test_wrong, test_total)
comparename = 'compare-%s-%s-beats-%s' % (self.dbkey, sortname1,
sortname2)
xaxis = axis.X(label='Doc Ratio (rlen//numdocs)',
tic_interval=.1,
format='/4{}%0.2f')
yaxis = axis.Y(label='Limit Ratio (limit//numdocs)',
tic_interval=.1,
format='/4{}%0.2f')
ar = area.T(
x_range=(0, 1),
y_range=(0, 1),
x_axis=xaxis,
y_axis=yaxis,
legend=legend.T(),
)
ar.add_plot(
line_plot.T(label="%s \nbeats \n%s" % (sortname1, sortname2),
data=linedata), )
tb = text_box.T(loc=(140, 90), text='Numdocs\n%s' % self.numdocs)
fd = open('%s.pdf' % comparename, 'w')
can = canvas.init(fd, 'pdf')
ar.draw(can)
tb.draw(can)
can.close()
def creat_line_plot(self, label, col, tick_mark):
return line_plot.T(label=label,
data=self.data,
ycol=col,
tick_mark=tick_mark)
def _create_lines(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'])
ar = area.T(
size=(350, 350),
#x_coord = category_coord.T(['2005-09-01','2005-10-22'],0),
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:]))))
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]
}
abscissa = []
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
# plots 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
idx0 = 0
nb_bar = len(data_by_year) * (len(fields) - 1)
colors = map(lambda x: line_style.T(color=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 = line_plot.T(
label=fields[idx + 1]['name'] + ' ' + str(line),
data=data_cum,
line_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)
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