def summary(start_date: date, end_date: date, region: str, df: pd.DataFrame):
population = population_data[region]
summary = Stats(population=population)
filter = Filters()
filter.add_interval(start_date, end_date)
current_df = query(df, filter)
casos = current_df.shape[0]
filter.add_dead(True)
muertes = query(current_df, filter).shape[0]
summary.add_casos_muertes(casos, muertes)
return summary
def summary_history(start_date: date, end_date: date, region: str,
df: pd.DataFrame):
population = population_data[region]
current_date = start_date
summaries = [StatsHistorial(date=current_date, population=population)]
while current_date <= end_date:
summary = StatsHistorial(date=current_date, population=population)
summary.add_population(population)
filter = Filters()
filter.add_date(current_date)
current_df = query(df, filter)
casos = current_df.shape[0]
filter.add_dead(True)
muertes = query(current_df, filter).shape[0]
summary.add_casos_muertes_acc(casos, summaries[-1].casos_acc + casos,
muertes,
summaries[-1].muertes_acc + muertes)
summaries.append(summary)
current_date = current_date + delta
return summaries[1:]
def get(self):
args = filters_get_args.parse_args()
filters = Filters()
filters.add_interval(start_date=args.get('desde'),
end_date=args.get('hasta'))
filters.add_icu(icu=args.get('cui'))
filters.add_dead(dead=args.get('muertos'))
filters.add_respirator(respirator=args.get('respirador'))
filters.add_classification(classification=args.get('classificacion'))
filters.add_gender(args.get('sexo'))
filters.add_age_interval(args.get('min_edad'), args.get('max_edad'))
filters.add_year_month(args.get('anios_meses'))
filters.add_province(args.get('region'))
return Cantidad(query(df, filters).shape[0])
def get(self):
args = filters_get_args.parse_args()
print(args)
filters = Filters()
filters.add_interval(start_date=args.get('desde'),
end_date=args.get('hasta'))
filters.add_icu(icu=args.get('cui'))
filters.add_dead(dead=args.get('muertos'))
filters.add_respirator(respirator=args.get('respirador'))
filters.add_classification(classification=args.get('classificacion'))
filters.add_gender(args.get('sexo'))
filters.add_age_interval(args.get('min_edad'), args.get('max_edad'))
filters.add_year_month(args.get('anios_meses'))
filters.add_province(province=args.get('region'))
result = query(df, filters)
p_val = pUtf8[
filters.
province] if filters.province is not None else pUtf8['nacional']
if filters.start_date is not None and filters.end_date is not None:
ret = summary(filters.start_date, filters.end_date, p_val, result)
else:
ret = summary(date(year=2020, month=1, day=1), date.today(), p_val,
result)
return ret