def time_chart(user, weeks, period=1):
"""Get information from a specified interval."""
date_range = weeks * 7 // period
period = timedelta(days=period)
# 'now' is technically tomorrow at 0:00, so that today's smokes have
# somewhere to go.
now = datetime.today().replace(hour=0, minute=0, second=0, microsecond=0) \
+ timedelta(days=1)
past = now - timedelta(weeks=weeks)
data = DBSession.query(Cigarette).filter_by(user=user.user_name) \
.filter(Cigarette.date >= past).all()
# pre-fill the dictionary with zeroes
freq_data = {(past + x*period): 0 for x in range(date_range)}
for datum in data:
distance = (datum.date - past).total_seconds() // period.total_seconds()
freq_data[past + (int(distance) * period)] += 1
if not freq_data:
chart = 'No data to display.'
else:
chart = DateY(LineConfig())
chart.add(user.display_name, sorted(freq_data.items()))
chart = chart.render(is_unicode=True)
return chart
def test_datey():
from datetime import datetime
datey = DateY(show_dots=False)
datey.add('1',
[(datetime(2011, 12, 21), 10), (datetime(2014, 4, 8), 12),
(datetime(2010, 2, 28), 2)])
datey.add('2', [(12, 4), (219, 8), (928, 6)])
datey.x_label_rotation = 25
return datey.render_response()
def test_date():
datey = DateY(truncate_label=1000)
datey.add('dates', [(datetime(2013, 1, 2), 300),
(datetime(2013, 1, 12), 412),
(datetime(2013, 2, 2), 823),
(datetime(2013, 2, 22), 672)])
q = datey.render_pyquery()
assert list(map(lambda t: t.split(' ')[0],
q(".axis.x text").map(texts))) == [
'2013-01-02', '2013-01-13', '2013-01-25', '2013-02-05',
'2013-02-17'
]
datey.x_labels = [
datetime(2013, 1, 1),
datetime(2013, 2, 1),
datetime(2013, 3, 1)
]
q = datey.render_pyquery()
assert list(map(lambda t: t.split(' ')[0],
q(".axis.x text").map(texts))) == [
'2013-01-01', '2013-02-01', '2013-03-01'
]
def test_datey():
from datetime import datetime
datey = DateY(show_dots=False)
datey.add("1", [(datetime(2011, 12, 21), 10), (datetime(2014, 4, 8), 12), (datetime(2010, 2, 28), 2)])
datey.add("2", [(12, 4), (219, 8), (928, 6)])
datey.x_label_rotation = 25
return datey.render_response()
def test_datexy():
from datetime import datetime, date, timedelta
datey = DateY()
datey.add('1',
[(datetime(2011, 12, 21), 10), (datetime(2014, 4, 8), 12),
(datetime(2010, 2, 28), 2)])
datey.add(
'2',
map(lambda t: (date.today() + timedelta(days=t[0]), t[1]),
[(12, 4), (219, 8), (928, 6)]))
datey.x_label_rotation = 25
return datey.render_response()
def test_date():
datey = DateY(truncate_label=1000)
datey.add('dates', [
(datetime(2013, 1, 2), 300),
(datetime(2013, 1, 12), 412),
(datetime(2013, 2, 2), 823),
(datetime(2013, 2, 22), 672)
])
q = datey.render_pyquery()
assert list(
map(lambda t: t.split(' ')[0],
q(".axis.x text").map(texts))) == [
'2013-01-02',
'2013-01-13',
'2013-01-25',
'2013-02-05',
'2013-02-17'
]
datey.x_labels = [
datetime(2013, 1, 1),
datetime(2013, 2, 1),
datetime(2013, 3, 1)
]
q = datey.render_pyquery()
assert list(
map(lambda t: t.split(' ')[0],
q(".axis.x text").map(texts))) == [
'2013-01-01',
'2013-02-01',
'2013-03-01'
]
def graph_uptime(record_files):
chart = DateY(BaseConfig)
for name, record_list in sort_domains(record_files.items()):
values = []
up, down = timedelta(), timedelta()
last = None
for record in record_list:
if last:
down += record[1] - last
values.append((record[1],
100 * up.total_seconds() /
(up+down).total_seconds()))
else:
values.append((record[1], 100))
last = record[1] + record[0]
up += record[0]
values.append((record[1] + record[0],
100 * up.total_seconds() /
(up+down).total_seconds()))
chart.add(name, values)
return chart.render()
def test_datexy():
from datetime import datetime, date, timedelta
datey = DateY()
datey.add('1', [
(datetime(2011, 12, 21), 10),
(datetime(2014, 4, 8), 12),
(datetime(2010, 2, 28), 2)
])
datey.add('2', map(
lambda t: (date.today() + timedelta(days=t[0]), t[1]),
[(12, 4), (219, 8), (928, 6)]))
datey.x_label_rotation = 25
return datey.render_response()
def test_date_overflow():
datey = DateY(truncate_label=1000)
datey.add('dates', [1, 2, -1000000, 5, 100000000])
assert datey.render_pyquery()
def test_datey_single():
graph = DateY(interpolate='cubic')
graph.add('Single', [(datetime.now(), 1)])
return graph.render_response()
def test_datey_single():
graph = DateY(interpolate='cubic')
graph.add('Single', [(datetime.now(), 1)])
return graph.render_response()
def test_date_overflow():
datey = DateY(truncate_label=1000)
datey.add('dates', [1, 2, -1000000, 5, 100000000])
assert datey.render_pyquery()
def dessiner_graph_global(self):
graph = DateY(style=style.BlueStyle)
graph.title = "Performances générales de %s %s" % (prenom, nom)
graph.add ([ (P.course.date, P.get_vitesse_generale) for P in performances ])
return graph
def dessiner_graph_global(self):
graph = DateY(style=BlueStyle, explicit_size=True)
#graph.title = "Performances générales de %s %s" % (self.prenom, self.nom)
graph.add ("Vitesse", [ (P.course.date, P.get_vitesse_generale()) for P in self.performances.all() ])
return graph
