# models.py
from django.db import models


class Dollar(models.Model):
    date = models.DateField('data')
    value = models.DecimalField('valor', max_digits=4, decimal_places=3)


class Euro(models.Model):
    date = models.DateField('data')
    value = models.DecimalField('valor', max_digits=4, decimal_places=3)


class Category(models.Model):
    category = models.CharField('categoria', max_length=50, unique=True)


class Product(models.Model):
    category = models.ForeignKey('Category', verbose_name='categoria')
    product = models.CharField('Produto', max_length=60, unique=True)
    price = models.DecimalField('Preço', max_digits=6, decimal_places=2)

# dollar.csv
date,value
1/1/2016,3.956
4/1/2016,4.033
5/1/2016,3.994
6/1/2016,4.017
7/1/2016,4.052
8/1/2016,4.038
11/1/2016,4.049
...

# shell_dollar.py
import csv
import datetime as dt
from highcharts.core.models import Dollar

dollar_list = []

''' Lendo os dados de dollar.csv '''
with open('highcharts/fix/dollar.csv', 'r') as f:
    r = csv.DictReader(f)
    for dct in r:
        # Convert '%d/%m/%Y' to '%Y-%m-%d'.
        d = dt.datetime.strptime(dct['date'], '%d/%m/%Y').strftime('%Y-%m-%d')
        dollar_list.append((d, dct['value']))
    f.close()


obj = [Dollar(date=val[0], value=val[1]) for val in dollar_list]
Dollar.objects.bulk_create(obj)

# graphics.py
import json
from django.db.models import Count
from django.core.serializers.json import DjangoJSONEncoder
from django.http import HttpResponse
from .models import Dollar, Euro, Product


def dollar_json(request):
    data = Dollar.objects.values('date', 'value')
    lista = [{'dia': i['date'], 'valor': float(i['value'])} for i in data]
    resp = json.dumps(lista, cls=DjangoJSONEncoder)
    return HttpResponse(resp)


def euro_json(request):
    data = Euro.objects.values('date', 'value')
    lista = [{'dia': i['date'], 'valor': float(i['value'])} for i in data]
    resp = json.dumps(lista, cls=DjangoJSONEncoder)
    return HttpResponse(resp)


def product_json(request):
    ''' Porcentagem de produtos por categoria '''
    data = Product.objects.values('category')\
        .annotate(value=Count('category'))\
        .order_by('category').values('category', 'category__category', 'value')
    total = Product.objects.all().count()
    ''' Podemos reescrever o dicionário com nossos próprios nomes de campos. '''
    lista = [{'categoria': item['category__category'],
              'porcentagem': float((item['value'] / total) * 100)} for item in data]
    s = json.dumps(lista, cls=DjangoJSONEncoder)
    return HttpResponse(s)

# urls.py
from django.conf.urls import include, url
from django.contrib import admin

urlpatterns = [
    url(r'', include('highcharts.core.urls', namespace='core')),
    url(r'^admin/', include(admin.site.urls)),
]

# core/urls.py
from django.conf.urls import url
from highcharts.core.graphics import dollar_json, euro_json, product_json
from highcharts.core import views as v

urlpatterns = [
    url(r'^$', v.home, name='home'),
    url(r'^dollar-graphic/$', v.dollar_graphic, name='dollar-graphic'),
    url(r'^euro-graphic/$', v.euro_graphic, name='euro-graphic'),
    url(r'^product-graphic/$', v.product_graphic, name='product-graphic'),
    url(r'^dollar_json/$', dollar_json),
    url(r'^euro_json/$', euro_json),
    url(r'^product_json/$', product_json),
]

# views.py
from django.shortcuts import render


def home(request):
    return render(request, 'index.html')


def dollar_graphic(request):
    return render(request, 'dollar_graphic.html')


def euro_graphic(request):
    return render(request, 'euro_graphic.html')


def product_graphic(request):
    return render(request, 'product_graphic.html')