def hello():
name = request.args.get("name", "World")
return render_template(
'base.html',
regions=analysis.region_list(ttl_hash=get_ttl_hash()),
days=json.loads(
json.dumps(analysis.day_list(ttl_hash=get_ttl_hash()).tolist(),
default=json_serial)))
def cases_hist():
normalized = request.args.get('normalized', default='', type=str)
date = request.args.get(
'date',
default=analysis.day_list(ttl_hash=get_ttl_hash())[-1],
type=str)
return json.dumps(
analysis.total_case_histogram(
date, normalized,
ttl_hash=get_ttl_hash()).to_dict(orient='records'))
def province_cases_hist():
normalized = request.args.get('normalized', default='', type=str)
region = request.args.get('region', default='Veneto', type=str)
date = request.args.get(
'date',
default=analysis.day_list(ttl_hash=get_ttl_hash())[-1],
type=str)
return json.dumps(analysis.region_histogram(
date, region, normalized,
ttl_hash=get_ttl_hash()).to_dict(orient='records'),
default=json_serial)
def province_cases():
normalized = request.args.get('normalized', default='', type=str)
region = request.args.get('region', default='Veneto', type=str)
return json.dumps(
{
'data':
analysis.provinces_time_series(
region, normalized,
ttl_hash=get_ttl_hash()).to_dict(orient='records'),
'provinces':
analysis.provinces_list(region, ttl_hash=get_ttl_hash())
},
default=json_serial)
def growth_rate():
regions = request.args.get('regions', default='All', type=str)
method = request.args.get('method', default='gr', type=str)
return json.dumps(analysis.growth_rate_data(regions,
method,
ttl_hash=get_ttl_hash()),
default=json_serial)
def region_stacked_area():
regions = request.args.get('regions', default='Lombardia,Veneto', type=str)
regions = regions.split(',')
what = request.args.get('what', default='totale_casi', type=str)
return json.dumps(analysis.region_stacked_area(
','.join(regions), what,
ttl_hash=get_ttl_hash()).to_dict(orient='records'),
default=json_serial)
def growth_rate():
total_time_series = analysis.total_case_time_series(
ttl_hash=get_ttl_hash())
y = total_time_series['totale_casi'].values
growth_r = analysis.growth_rate(y[1:])
growth_r = [{
'day': d,
'gr': gr
} for (d, gr) in zip(total_time_series['day'].values[2:], growth_r)]
return json.dumps(growth_r, default=json_serial)
def total_time_serie():
regions = request.args.get('regions', default='All', type=str)
predictedDays = request.args.get('predictedDays', default=0, type=int)
fields = request.args.get('fields', default='totale_casi', type=str)
transformation = request.args.get('transformation',
default='raw',
type=str)
return json.dumps(analysis.total_time_series_data(regions,
fields,
transformation,
predictedDays,
ttl_hash=get_ttl_hash()),
default=json_serial)
def stacked_area():
region = request.args.get('region', default='All', type=str)
return json.dumps(analysis.stacked_area_data(
region, ttl_hash=get_ttl_hash()).to_dict(orient='records'),
default=json_serial)
def dead_proportion():
region = request.args.get('region', default='All', type=str)
return json.dumps(analysis.dead_proportion(
region, ttl_hash=get_ttl_hash()).to_dict(orient='records'),
default=json_serial)
def map_markers():
date = request.args.get('date', default='2020-03-11', type=str)
return json.dumps(
analysis.map_locations(
date, ttl_hash=get_ttl_hash()).to_dict(orient='records'))
def tamponi_infected_ratio():
region = request.args.get('region', default='All', type=str)
return json.dumps(analysis.tamponi_infected_ratio(
region, ttl_hash=get_ttl_hash()).to_dict(orient='records'),
default=json_serial)
def last_data():
data = analysis.data_andamento_nazionale(ttl_hash=get_ttl_hash())
return json.dumps(data.tail(1).to_dict(orient='records'),
default=json_serial)
def total_time_serie():
return json.dumps(analysis.total_time_series_data(ttl_hash=get_ttl_hash()),
default=json_serial)
