def avgBlue(input):
i = 0
v = 0
c = 0
c_a = 0
v_a = 0
d = 0
blue = filter(lambda x: x['name'] != 'oficial', input)
return {'date': datetime.datetime.now().isoformat(),
'compra': median(map(lambda x: x['venta'], blue)) * buy_multiplier,
'venta': median(map(lambda x: x['venta'], blue)),
'compra_ayer': median(map(lambda x: x['venta_ayer'], blue))* buy_multiplier,
'venta_ayer': median(map(lambda x: x['venta_ayer'], blue)),
'name': 'blue',
'long_name': 'Dolar Blue'
}
def prepare_data(self):
last_data = map(convDolar, maxSources())
only_blue = filter(lambda x: x['source'] != 'oficial', last_data)
only_oficial = filter(lambda x: x['source'] == 'oficial', last_data)
avg_blue = {
'value_sell': median(map(lambda x: x['value_sell'], only_blue))
}
avg_blue['value_buy'] = avg_blue['value_sell'] * buy_multiplier
avg_blue['value_avg'] = (avg_blue['value_buy'] + avg_blue['value_sell']) / 2
oficial = only_oficial[0]
self.dolar = {}
self.dolar['blue'] = convert_presentacion(avg_blue)
self.dolar['oficial'] = convert_presentacion(oficial)
self.dolar['ahorro'] = convert_presentacion(multiply(oficial, Decimal('1.20')))
self.dolar['turismo'] = convert_presentacion(multiply(oficial, Decimal('1.35')))
self.avg_blue = avg_blue
def latest(request):
max_sources = map(convDolar, maxSources())
sources_blue = filter(lambda x: x['source'] != 'oficial',max_sources)
source_oficial = filter(lambda x: x['source'] == 'oficial',max_sources)[0]
euro = Currency.objects.filter(code__exact='EUR')[0]
eurovalue = CurrencyValue.objects.filter(curr__exact=euro.id).last()
euro_avg = eurovalue.value
euro_buy = euro_avg * Decimal(1.03)
euro_sell = euro_avg * Decimal(0.97)
last_date = None
blue_sell = Decimal(median(map(lambda x: x['value_sell'], sources_blue)))
blue_buy = blue_sell * Decimal(buy_multiplier)
blue_avg = (blue_sell + blue_buy) / 2
response = {}
response['oficial'] = {'value_buy': source_oficial['value_buy'], 'value_avg': source_oficial['value_avg'], 'value_sell': source_oficial['value_sell']}
response['blue'] = {'value_buy': blue_buy, 'value_avg': blue_avg, 'value_sell': blue_sell}
response['last_update'] = max(map(lambda x:x['date'], max_sources))
response['oficial_euro'] = {'value_buy': source_oficial['value_buy']/euro_buy, 'value_avg': source_oficial['value_avg']/euro_avg, 'value_sell': source_oficial['value_sell']/euro_sell}
response['blue_euro'] = {'value_buy': blue_buy/euro_buy, 'value_avg': blue_avg/euro_avg, 'value_sell': blue_sell/euro_sell}
return response
