def login(request):
if request.session.get('creds'):
return redirect('client:index')
if request.method == 'POST':
form = LoginForm(request.POST)
value_next = request.POST.get('next', '')
if form.is_valid():
email = form.cleaned_data['email']
password = form.cleaned_data['password']
try:
dw = datawiz.DW(email, password)
creds = dw.generate_secret(email, password)
except InvalidGrantError:
return render(request, 'client/login.html', {'form': form, 'error_msg': 'No such email and password.'})
creds['email'] = email
creds['password'] = password
if "CLIENT_ID" not in creds:
creds = test_creds
creds['name'] = dw.get_client_info().get('name', 'Empty Name')
request.session['creds'] = creds
if value_next:
return HttpResponseRedirect(value_next)
return redirect('client:index')
else:
form = LoginForm()
value_next = request.GET.get('next', '')
return render(request, 'client/login.html', {'form': form, 'next': value_next})
def get(self, request):
try:
storage = get_messages(request)
auth = None
for message in storage:
auth = message
break
user = auth.message.split(' ')
dw = datawiz.DW(user[0], user[1])
date_from = datetime.date(2015, 11, 17)
date_to = datetime.date(2015, 11, 18)
turnover = dw.get_products_sale(by='turnover', date_from = date_from, date_to = date_to)
quantity = dw.get_products_sale(by='qty', date_from = date_from, date_to = date_to)
ids = list(turnover)
quantity_from = list(quantity.iloc[0])
quantity_to = list(quantity.iloc[1])
turnover_from = list(turnover.iloc[0])
turnover_to = list(turnover.iloc[1])
data = [[dw.get_product(products=ids[i])['product_name'], round(quantity_to[i] - quantity_from[i], 2), round(turnover_to[i] - turnover_from[i], 2)]
for i in range(len(ids)) if quantity_from[i] > quantity_to[i]]
messages.add_message(request, messages.INFO, auth)
return render(request, 'info\down.html', context={'data': data})
except:
return redirect('/login/')
def sale_list(request):
dw = datawiz.DW(request.user.username,
Client.objects.get(user_name=request.user).pass_user)
client = dw.get_client_info()
sales = dw.get_categories_sale(categories=["sum"],
by=['turnover', 'qty', 'receipts_qty'],
date_from="2018-03-01",
date_to="2018-03-18",
interval='days',
view_type='raw').drop(
['name', 'category', 'date'],
axis='columns')
sales['average_qty'] = sales['turnover'] / sales['qty']
sales1 = sales.T.reset_index().rename(columns={
0: "2018-03-01",
1: "2018-03-18"
})
sales1['dif_per'] = sales1["2018-03-18"] / sales1["2018-03-01"]
sales1['dif_min'] = sales1["2018-03-18"] - sales1["2018-03-01"]
product1 = dw.get_products_sale(by=['turnover', 'qty'],
date_from="2018-03-01",
date_to="2018-03-18",
interval='days',
show="name",
view_type='raw').drop(['date', 'product'],
axis='columns')
product2 = dw.get_products_sale(by=['turnover', 'qty'],
date_from="2018-03-01",
date_to="2018-03-18",
interval='days',
show='name',
view_type='raw').drop(['date', 'product'],
axis='columns')
product1['differ_qty'] = product2['qty'] - product1['qty']
product1['differ_turnover'] = product2['turnover'] - product1['turnover']
product = product1.drop(['turnover', 'qty'], axis='columns')
return render(
request, 'test_site/sale_list.html', {
'client':
client,
'sales':
sales1.to_html(index=False, classes="table"),
'products1':
product.sort_values(by='differ_qty', ascending=False).to_html(
index=False,
classes="table table-striped table-bordered",
table_id='differ_max'),
'products2':
product.sort_values(by='differ_qty').to_html(
index=False,
classes="table table-striped table-bordered",
table_id='differ_min')
})
def wrapper(*args, **kwargs):
request = args[0]
if not request.session.get('creds'):
return redirect(reverse('client:login') + "?next=" + request.get_full_path())
creds = request.session['creds']
try:
dw = datawiz.DW(creds['email'], creds['password'])
except InvalidGrantError:
return render(request, 'client/error.html', {'error_msg': 'Provided credentials were not accepted by DataWiz.'})
kwargs['dw'] = dw
return view_func(*args, **kwargs)
def __init__(self):
self.USER = datawiz.DW()
self.SETTINGS = {
'shops': shops,
'products': products,
'categories': categories
}
client_info = self.USER.get_client_info()
self.SETTINGS['date_from'] = client_info['date_from']
self.SETTINGS['date_to'] = client_info['date_to']
def get(self, request):
try:
storage = get_messages(request)
auth = None
for message in storage:
auth = message
break
user = auth.message.split(' ')
dw = datawiz.DW(user[0], user[1])
data = dw.get_client_info()
messages.add_message(request, messages.INFO, auth)
return render(request, 'info\home.html', context={'data': data})
except:
return redirect('/login/')
def __init__(self, client_id, client_secret):
self.client_id = client_id
self.client_secret = client_secret
self.dw = datawiz.DW(client_id, client_secret)
from dwapi import datawiz
dw = datawiz.DW("*****@*****.**", "1qaz")
print(dw.get_shops())
from dwapi import datawiz_auth
dw = datawiz_auth.Auth()
a = dw.generate_secret("*****@*****.**", "1qaz")
print(a)
'NAME':
'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME':
'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.9/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.9/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = (os.path.join(BASE_DIR, 'static'), )
from dwapi import datawiz
DW = datawiz.DW('*****@*****.**', 'test2@cbe47a5c9466fe6df05f04264349f32b')
def login(request):
if request.method == 'POST':
API_KEY = request.POST.get("login")
API_SECRET = request.POST.get("password")
# API_KEY = "*****@*****.**"
# API_SECRET = "1qaz"
try:
dw = datawiz.DW(API_KEY, API_SECRET)
client_data = dw.get_client_info()
client_info = {}
client_info['name'] = client_data['name']
client_info['shops'] = client_data['shops']
client_info['date_from'] = client_data['date_from'].strftime(
"%d. %B %Y")
client_info['date_to'] = client_data['date_to'].strftime(
"%d. %B %Y")
df_turnover = dw.get_products_sale(by=["turnover"], date_from = datetime.date(2015, 11, 17),\
date_to = datetime.date(2015, 11, 18))
turnover_from = round(df_turnover.sum(axis=1)[0], 2)
turnover_to = round(df_turnover.sum(axis=1)[1], 2)
turnover_difference = round(turnover_to - turnover_from, 2)
turnover_percentage = round(
turnover_difference / max(turnover_to, turnover_from) * 100, 2)
data_turnover = {"turnover_from": turnover_from, "turnover_to": turnover_to, "turnover_difference": \
turnover_difference, "turnover_percentage": turnover_percentage}
df_qty = dw.get_products_sale(by=["qty"], date_from=datetime.date(2015, 11, 17), \
date_to=datetime.date(2015, 11, 18))
qty_from = round(df_qty.sum(axis=1)[0], 2)
qty_to = round(df_qty.sum(axis=1)[1], 2)
qty_difference = round(qty_to - qty_from, 2)
qty_percentage = round(
qty_difference / max(qty_to, qty_from) * 100, 2)
data_qty = {"qty_from": qty_from, "qty_to": qty_to, "qty_difference": \
qty_difference, "qty_percentage": qty_percentage}
df_receipts_qty = dw.get_products_sale(by=["receipts_qty"], date_from=datetime.date(2015, 11, 17), \
date_to=datetime.date(2015, 11, 18))
receipts_qty_from = round(df_receipts_qty.sum(axis=1)[0], 2)
receipts_qty_to = round(df_receipts_qty.sum(axis=1)[1], 2)
receipts_qty_difference = round(
receipts_qty_to - receipts_qty_from, 2)
receipts_qty_percentage = round(
receipts_qty_difference /
max(receipts_qty_to, receipts_qty_from) * 100, 2)
data_receipts_qty = {"receipts_qty_from": receipts_qty_from, "receipts_qty_to": receipts_qty_to, \
"receipts_qty_difference": receipts_qty_difference, "receipts_qty_percentage": receipts_qty_percentage}
average_check_from = round(turnover_from / receipts_qty_from, 2)
average_check_to = round(turnover_to / receipts_qty_to, 2)
average_check_difference = round(
average_check_to - average_check_from, 2)
average_check_percentage = round(
average_check_difference /
max(average_check_to, average_check_from) * 100, 2)
data_average_check = {"average_check_from": average_check_from, "average_check_to": average_check_to, \
"average_check_difference": average_check_difference, "average_check_percentage": average_check_percentage}
data_indicator = {"data_turnover": data_turnover, "data_qty": data_qty, "data_receipts_qty": data_receipts_qty,\
"data_average_check": data_average_check}
list_id_product = list(df_turnover)
list_qty_from = list(df_qty.iloc[0])
list_qty_to = list(df_qty.iloc[1])
list_turnover_from = list(df_turnover.iloc[0])
list_turnover_to = list(df_turnover.iloc[1])
grow_sales = [(list_id_product[i], round(list_qty_to[i] - list_qty_from[i], 2), round(list_turnover_to[i] - \
list_turnover_from[i], 2)) for i in range(len(list_qty_from)) if list_qty_from[i] < list_qty_to[i]]
fell_sales = [(list_id_product[i], round(list_qty_to[i] - list_qty_from[i], 2), round(list_turnover_to[i] - \
list_turnover_from[i], 2)) for i in range(len(list_qty_from)) if list_qty_from[i] > list_qty_to[i]]
data = {
"data_indicator": data_indicator,
"grow_sales": grow_sales,
"fell_sales": fell_sales
}
return render(request,
"index.html",
context={
"client_info": client_info,
"data": data
})
except:
return render(request, "login.html")
return render(request, "login.html")
'''
Приклад роботи с datawiz API
'''
import datetime
from dwapi import datawiz
date_from = datetime.date(2015, 8, 9)
date_to = datetime.date(2015, 9, 12)
# Створення классу для вибору данних:
# datawiz.DW(API_KEY, API_SECRET)
# якщо де API_KEY, API_SECRET - ключ і підпис користувача, якщо вони не задані то запускаємо для тестового користувача.
dw = datawiz.DW()
print dw.get_products_sale(products=[2855561, 2861880],
by='turnover',
shops=[601, 641, 595],
date_from=date_from,
date_to=date_to,
interval=datawiz.WEEKS)
def get_client(request):
email = request.user.username
password = request.user.password
dw = datawiz.DW()
return dw
def get(self, request):
try:
storage = get_messages(request)
auth = None
for message in storage:
auth = message
break
user = auth.message.split(' ')
dw = datawiz.DW(user[0], user[1])
date_from = datetime.date(2015, 11, 17)
date_to = datetime.date(2015, 11, 18)
data = {
'date_from': date_from,
'date_to': date_to,
}
turnover = dw.get_products_sale(by='turnover',
date_from=date_from,
date_to=date_to)
data['turnover'] = {
'from':
round(turnover.sum(axis=1)[0], 2),
'to':
round(turnover.sum(axis=1)[1], 2),
'percent':
round((round(turnover.sum(axis=1)[1], 2) -
round(turnover.sum(axis=1)[0], 2)) /
max(round(turnover.sum(axis=1)[1], 2),
round(turnover.sum(axis=1)[0], 2)) * 100, 2),
'diff':
round(
round(turnover.sum(axis=1)[1], 2) -
round(turnover.sum(axis=1)[0], 2), 2),
}
quantity = dw.get_products_sale(by='qty',
date_from=date_from,
date_to=date_to)
data['quantity'] = {
'from':
round(quantity.sum(axis=1)[0], 2),
'to':
round(quantity.sum(axis=1)[1], 2),
'percent':
round((round(quantity.sum(axis=1)[1], 2) -
round(quantity.sum(axis=1)[0], 2)) /
max(round(quantity.sum(axis=1)[1], 2),
round(quantity.sum(axis=1)[0], 2)) * 100, 2),
'diff':
round(
round(quantity.sum(axis=1)[1], 2) -
round(quantity.sum(axis=1)[0], 2), 2),
}
receipts = dw.get_products_sale(by='receipts_qty',
date_from=date_from,
date_to=date_to)
data['receipts'] = {
'from':
round(receipts.sum(axis=1)[0], 2),
'to':
round(receipts.sum(axis=1)[1], 2),
'percent':
round((round(receipts.sum(axis=1)[1], 2) -
round(receipts.sum(axis=1)[0], 2)) /
max(round(receipts.sum(axis=1)[1], 2),
round(receipts.sum(axis=1)[0], 2)) * 100, 2),
'diff':
round(
round(receipts.sum(axis=1)[1], 2) -
round(receipts.sum(axis=1)[0], 2), 2),
}
data['average'] = {
'from':
round(data['turnover']['from'] / data['receipts']['from'], 2),
'to':
round(data['turnover']['to'] / data['receipts']['to'], 2),
}
data['average'] = {
'from':
data['average']['from'],
'to':
data['average']['to'],
'percent':
round(
(data['average']['to'] - data['average']['from']) /
max(data['average']['to'], data['average']['from']) * 100,
2),
'diff':
round((data['average']['to'] - data['average']['from']), 2),
}
messages.add_message(request, messages.INFO, auth)
return render(request, 'info\general.html', context={'data': data})
except:
return redirect('/login/')
