def data_processing(self, sea, year1, dec1, year2, dec2, prop, prec):
forecast_data = {}
season_data = {}
data = self.sea_data['mean']
for cur_sea in data.keys():
for cur_year in sorted(data[cur_sea]):
if cur_year > 1996:
for cur_month in sorted(data[cur_sea][cur_year]):
for cur_dec in sorted(data[cur_sea][cur_year][cur_month]):
season_date = Estimation.get_season_date(cur_year, cur_month, cur_dec)
if cur_sea not in season_data.keys():
season_data[cur_sea] = {}
if season_date['year'] not in season_data[cur_sea].keys():
season_data[cur_sea][season_date['year']] = {}
if season_date['month'] not in season_data[cur_sea][season_date['year']].keys():
season_data[cur_sea][season_date['year']][season_date['month']] = {}
if season_date['dec'] not in season_data[cur_sea][season_date['year']][
season_date['month']].keys():
season_data[cur_sea][season_date['year']][season_date['month']][
season_date['dec']] = \
data[cur_sea][cur_year][cur_month][cur_dec]
for year in range(year1, year2 + 1):
start_dec = dec1 if year == year1 else 1
end_dec = dec2 if year == year2 else 36
forecast_decs = {}
for dec in range(start_dec, end_dec + 1):
month_dec = Estimation.get_month_dec(dec)
season_date = Estimation.get_season_date(year, month_dec['month'], month_dec['dec'])
season_date_glob_dec = Estimation.get_year_dec(season_date['month'], season_date['dec'])
f = Forecast()
cur_data = f.forecast(season_data, prop, sea, season_date_glob_dec, season_date['year'], prec)
if season_date['year'] not in season_data[sea]:
season_data[sea][season_date['year']] = {}
if season_date['month'] not in season_data[sea][season_date['year']]:
season_data[sea][season_date['year']][season_date['month']] = {}
if season_date['dec'] not in season_data[sea][season_date['year']][season_date['month']]:
season_data[sea][season_date['year']][season_date['month']][season_date['dec']] = {prop: cur_data[0]}
if month_dec['month'] not in forecast_decs.keys():
forecast_decs[month_dec['month']] = {}
forecast_decs[month_dec['month']][month_dec['dec']] = [cur_data[0], cur_data[1]]
forecast_data[year] = forecast_decs
print(forecast_data)
return forecast_data
