def index(request):
timezone.activate(pytz.timezone("America/Argentina/Buenos_Aires"))
max_sources = map(convDolar, maxSources())
max_sources_yesterday = map(convDolar, maxSourcesYesterday())
all_sources = map(lambda x: {"name":x.source, "description":x.description},Source.objects.all())
context = { 'max_sources': json.dumps(max_sources, cls=DecimalEncoder),
'max_sources_yesterday': json.dumps(max_sources_yesterday, cls=DecimalEncoder),
'all_sources': json.dumps(all_sources) }
return render(request, 'index.html', context)
def calculator(request):
timezone.activate(pytz.timezone("America/Argentina/Buenos_Aires"))
max_sources = map(convDolar, maxSources())
max_currencies = map(convCurr, maxCurrencies())
max_currencies.sort(key=itemgetter('code'))
all_sources = map(lambda x: {"name":x.source, "description":x.description},Source.objects.all())
context = { 'max_sources': json.dumps(max_sources, cls=DecimalEncoder),
'all_sources': json.dumps(all_sources),
'max_currencies': json.dumps(max_currencies, cls=DecimalEncoder) }
return render(request, 'calculator.html', context)
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
def json_lastprice(request): max_sources = map(convDolar, maxSources()) return max_sources
