def events(request, date=None):
today = day = datetime.now().date()
try:
reqday = datetime.strptime(date, "%Y-%m-%d").date()
if request.user.is_authenticated() or (reqday - day).days in range(7):
day = reqday
except:
# just use today date
pass
days = helpers.get_days(0)
daylabels = [(days[0], 'Today'), (days[1], 'Tomorrow')]
for d in days[2:]:
daylabels.append((d, d.strftime('%A')))
article, tags = None, []
show_edit_links = False
if request.user.is_authenticated():
show_edit_links = True
article,tags=helpers.get_article(today)
return render_to_response(request, 'ladypenh/day.html',
dict(theme_name=helpers.get_theme(helpers.today()),
day=day,
daylabels=daylabels,
highlights=helpers.get_highlights(days),
events=helpers.get_events(day),
reminders=helpers.get_reminders(day),
show_edit_links=show_edit_links,
article=article,
tags=tags
))
def feed_atom(request):
"Phnom Penh events of the day"
today = helpers.today()
return render_to_response(request, 'ladypenh/atom.xml',
dict(events=helpers.get_events(today),
today=today),
mimetype='application/atom+xml; charset=utf8')
def year_info():
""" Returns json object of timeline data """
database_years = Years.query.all()
years = get_years(database_years)
n = len(years)
database_events = Events.query.all()
events = get_events(n, database_events)
database_people = People.query.all()
people = get_people(n, database_people)
data = {}
for i in range(1, n + 1):
year_id = str(i)
year_info = {}
year_info["events"] = events[i - 1]
year_info["people"] = people[i - 1]
year_info["year_info"] = years[i - 1]
data[year_id] = year_info
return jsonify(data)
# event_identifiers = [20, 21]
event_identifiers = [20, 21, 22, 23, 24]
# locations_available = ['c3']
locations_available = ['s3', 's5', 's6']
data_types = ['trend', 'sensor']
event_metadata = 'data/experiment_list.csv'
ic_path = 'data/initial_conditions.csv'
workdir = 'Q:/Messdaten/floodVisionData/core_2018_cq/4_experiments/CliBU008/simple_model/190712_less_params'
# define log file
log_file = os.path.join(workdir, 'results_uncalibrated.csv')
if os.path.isfile(log_file) and overwrite:
os.remove(log_file)
events = h.get_events(identifiers=event_identifiers,
metadata_path=event_metadata,
initial_condition_path=ic_path)
for event_number in event_identifiers:
print('# Running uncalibrated Experiment {}'.format(event_number))
# define calibration event
calibration_event = events[event_number]
# define directory
exp_dir = os.path.join(workdir, '_uncalibrated', str(event_number))
# check if processing already performed for directory
if os.path.isfile(os.path.join(exp_dir,
'calibration_chain.png')) and not overwrite:
print('Processing already performed')
def printable_listing(request, dayspan=0):
days = helpers.get_days(dayspan)
return render_to_response(request, 'ladypenh/print.html',
dict(events=helpers.get_events(days)))
