def search(cls, query):
query = SearchQuery(query, config="russian")
return SearchIndex.objects\
.annotate(rank=SearchRank(F("index"), query))\
.filter(index=query, rank__gte=0.1)
def resolve_filters(self, info, route, sizes, colors, effects, query):
print(sizes)
colors_list = list(filter(None, map(str.strip, colors.split(','))))
effects_list = list(filter(None, map(str.strip, effects.split(','))))
effect_glow_in_the_dark = 'Светится в темноте' in effects_list
effect_glow_in_the_uv = 'Светится в ультрафиолете' in effects_list
sizes_list = list(filter(None, map(str.strip, sizes.split(','))))
s_list = {
'size_ns': 'Без размера',
'size_xs': 'XS',
'size_s': 'S',
'size_m': 'M',
'size_l': 'L',
'size_xl': 'XL',
'size_2xl': 'XXL',
'size_3xl': 'XXXL',
'size_4xl': 'XXXXL',
}
s_list_rev = dict(zip(s_list.values(), s_list.keys()))
s = [s_list_rev[key] for key in sizes_list]
sizes_filter = Q()
for size in s:
sizes_filter |= Q(**{size + '__gt': 0})
colors_filter = Q()
if len(colors_list) > 0:
colors_filter = colors_filter & Q(colors__name__in=colors_list)
effects_filter = Q()
if effect_glow_in_the_dark:
effects_filter = effects_filter & Q(glow_in_the_dark=True)
if effect_glow_in_the_uv:
effects_filter = effects_filter & Q(glow_in_the_uv=True)
query_filter = Q(translations__description__icontains=query) \
| Q(model__icontains=query) \
| Q(sku__icontains=query)
qs = Product.objects.filter(enable=True, total_count__gt=0)
qs = qs.filter(categories__path__icontains=route)
qs = qs.filter(query_filter)
# qs = qs.distinct()
sizes_qs = qs \
.filter(colors_filter) \
.filter(effects_filter)
sizes_qs = [{
'lable':
value,
'count':
sizes_qs.values(key).filter(Q(**{key + '__gt': 0})).count(),
'value':
True if key in s else False
} for key, value in s_list.items()]
color_qs = qs \
.annotate(lable=F('colors__name')).values('lable') \
.exclude(lable__isnull=True) \
.annotate(count=Count('lable', filter=effects_filter & sizes_filter)) \
.annotate(value=Value(False, output_field=BooleanField())) \
.order_by('lable')
products_dark_qs = qs \
.values('glow_in_the_dark') \
.filter(glow_in_the_dark=True) \
.annotate(count=Count('glow_in_the_dark', filter=colors_filter & sizes_filter)) \
.annotate(lable=Value('Светится в темноте', output_field=CharField())) \
.annotate(value=Value(effect_glow_in_the_dark, output_field=BooleanField())) \
.values('lable', 'count', 'value')
products_uv_qs = qs \
.values('glow_in_the_uv') \
.filter(glow_in_the_uv=True) \
.annotate(count=Count('glow_in_the_uv', filter=colors_filter & sizes_filter)) \
.annotate(lable=Value('Светится в ультрафиолете', output_field=CharField())) \
.annotate(value=Value(effect_glow_in_the_uv, output_field=BooleanField())) \
.values('lable', 'count', 'value')
colors = list(color_qs)
for color in colors:
if color['lable'] in colors_list:
color['value'] = True
print(sizes_qs)
return [
FiltersType(title='Размер', name='size', items=sizes_qs),
FiltersType(title='Цвет', name='color', items=colors),
FiltersType(title='Спецэффекты',
name='effects',
items=list(products_dark_qs) + list(products_uv_qs)),
]
def sort_by_attribute(self,
attribute_pk: Union[int, str],
descending: bool = False):
"""Sort a query set by the values of the given product attribute.
:param attribute_pk: The database ID (must be a numeric) of the attribute
to sort by.
:param descending: The sorting direction.
"""
qs: models.QuerySet = self
# If the passed attribute ID is valid, execute the sorting
if not (isinstance(attribute_pk, int) or attribute_pk.isnumeric()):
return qs.annotate(
concatenated_values_order=Value(
None, output_field=models.IntegerField()),
concatenated_values=Value(None,
output_field=models.CharField()),
)
# Retrieve all the products' attribute data IDs (assignments) and
# product types that have the given attribute associated to them
associated_values = tuple(
AttributeProduct.objects.filter(
attribute_id=attribute_pk).values_list("pk",
"product_type_id"))
if not associated_values:
qs = qs.annotate(
concatenated_values_order=Value(
None, output_field=models.IntegerField()),
concatenated_values=Value(None,
output_field=models.CharField()),
)
else:
attribute_associations, product_types_associated_to_attribute = zip(
*associated_values)
qs = qs.annotate(
# Contains to retrieve the attribute data (singular) of each product
# Refer to `AttributeProduct`.
filtered_attribute=FilteredRelation(
relation_name="attributes",
condition=Q(
attributes__assignment_id__in=attribute_associations),
),
# Implicit `GROUP BY` required for the `StringAgg` aggregation
grouped_ids=Count("id"),
# String aggregation of the attribute's values to efficiently sort them
concatenated_values=Case(
# If the product has no association data but has
# the given attribute associated to its product type,
# then consider the concatenated values as empty (non-null).
When(
Q(product_type_id__in=
product_types_associated_to_attribute)
& Q(filtered_attribute=None),
then=models.Value(""),
),
default=StringAgg(
F("filtered_attribute__values__name"),
delimiter=",",
ordering=([
f"filtered_attribute__values__{field_name}" for
field_name in AttributeValue._meta.ordering or []
]),
),
output_field=models.CharField(),
),
concatenated_values_order=Case(
# Make the products having no such attribute be last in the sorting
When(concatenated_values=None, then=2),
# Put the products having an empty attribute value at the bottom of
# the other products.
When(concatenated_values="", then=1),
# Put the products having an attribute value to be always at the top
default=0,
output_field=models.IntegerField(),
),
)
# Sort by concatenated_values_order then
# Sort each group of products (0, 1, 2, ...) per attribute values
# Sort each group of products by name,
# if they have the same values or not values
ordering = "-" if descending else ""
return qs.order_by(
f"{ordering}concatenated_values_order",
f"{ordering}concatenated_values",
f"{ordering}name",
)
def metrics(self,
metric,
start_time=None,
end_time=None,
resolution='day',
apply_offset=True):
if resolution not in ['month', 'week', 'day', 'hour', 'bin', 'auto']:
raise ValueError(
'unsupported time resolution {}'.format(resolution))
if metric not in self.TIMELINE_METRICS.keys():
raise ValueError('unsupported metric {}'.format(metric))
if resolution == 'auto':
if start_time is None or end_time is None:
mm = self.bins.aggregate(min=Min('sample_time'),
max=Max('sample_time'))
min_sample_time, max_sample_time = mm['min'], mm['max']
if start_time is None:
start_time = min_sample_time
else:
start_time = pd.to_datetime(start_time, utc=True)
if end_time is None:
end_time = max_sample_time
else:
end_time = pd.to_datetime(end_time, utc=True)
time_range = end_time - start_time
if time_range < pd.Timedelta('7d'):
resolution = 'bin'
elif time_range < pd.Timedelta('60d'):
resolution = 'hour'
elif time_range < pd.Timedelta('3y'):
resolution = 'day'
else:
resolution = 'week'
if apply_offset:
if resolution == 'bin':
offset = pd.Timedelta('0s')
elif resolution == 'hour':
offset = pd.Timedelta('30m')
elif resolution == 'day':
offset = pd.Timedelta('12h')
elif resolution == 'week':
offset = pd.Timedelta('3.5d')
qs = self.time_range(start_time, end_time)
aggregate_fn = Avg
if resolution == 'bin':
result = qs.annotate(dt=F('sample_time'), metric=F(metric)).values(
'dt', 'metric').order_by('dt')
else:
result = qs.annotate(dt=Trunc('sample_time', resolution)). \
values('dt').annotate(metric=aggregate_fn(metric)).order_by('dt')
if apply_offset:
for record in result:
record['dt'] += offset
return result, resolution
def total_queryset(self):
filters = [
self.is_in_provided_def_codes,
self.is_non_zero_total_spending,
self.all_closed_defc_submissions,
Q(treasury_account__isnull=False),
Q(treasury_account__federal_account__isnull=False),
]
annotations = {
"fa_code": F("treasury_account__federal_account__federal_account_code"),
"description": F("treasury_account__account_title"),
"code": F("treasury_account__tas_rendering_label"),
"id": F("treasury_account__treasury_account_identifier"),
"award_count": Value(None, output_field=IntegerField()),
"fa_description": F("treasury_account__federal_account__account_title"),
"fa_id": F("treasury_account__federal_account_id"),
"obligation": Coalesce(
Sum(
Case(
When(
self.final_period_submission_query_filters,
then=F("obligations_incurred_by_program_object_class_cpe")
+ F("deobligations_recoveries_refund_pri_program_object_class_cpe"),
),
default=Value(0),
)
),
0,
),
"outlay": Coalesce(
Sum(
Case(
When(
self.final_period_submission_query_filters,
then=F("gross_outlay_amount_by_program_object_class_cpe")
+ F("ussgl487200_down_adj_pri_ppaid_undel_orders_oblig_refund_cpe")
+ F("ussgl497200_down_adj_pri_paid_deliv_orders_oblig_refund_cpe"),
),
default=Value(0),
)
),
0,
),
"total_budgetary_resources": Coalesce(
Subquery(
latest_gtas_of_each_year_queryset()
.filter(
disaster_emergency_fund_code__in=self.def_codes,
treasury_account_identifier=OuterRef("treasury_account"),
)
.annotate(
amount=Func("total_budgetary_resources_cpe", function="Sum"),
unobligated_balance=Func(
"budget_authority_unobligated_balance_brought_forward_cpe", function="Sum"
),
deobligation=Func("deobligations_or_recoveries_or_refunds_from_prior_year_cpe", function="Sum"),
prior_year=Func("prior_year_paid_obligation_recoveries", function="Sum"),
)
.annotate(
total_budget_authority=F("amount")
- F("unobligated_balance")
- F("deobligation")
- F("prior_year")
)
.values("total_budget_authority"),
output_field=DecimalField(),
),
0,
),
}
# Assuming it is more performant to fetch all rows once rather than
# run a count query and fetch only a page's worth of results
return (
FinancialAccountsByProgramActivityObjectClass.objects.filter(*filters)
.values(
"treasury_account__federal_account__id",
"treasury_account__federal_account__federal_account_code",
"treasury_account__federal_account__account_title",
)
.annotate(**annotations)
.values(*annotations.keys())
)
class CheckinListPositionViewSet(viewsets.ReadOnlyModelViewSet):
serializer_class = OrderPositionSerializer
queryset = OrderPosition.objects.none()
filter_backends = (DjangoFilterBackend, RichOrderingFilter)
ordering = ('attendee_name_cached', 'positionid')
ordering_fields = (
'order__code', 'order__datetime', 'positionid', 'attendee_name',
'last_checked_in', 'order__email',
)
ordering_custom = {
'attendee_name': {
'_order': F('display_name').asc(nulls_first=True),
'display_name': Coalesce('attendee_name_cached', 'addon_to__attendee_name_cached')
},
'-attendee_name': {
'_order': F('display_name').desc(nulls_last=True),
'display_name': Coalesce('attendee_name_cached', 'addon_to__attendee_name_cached')
},
'last_checked_in': {
'_order': FixedOrderBy(F('last_checked_in'), nulls_first=True),
},
'-last_checked_in': {
'_order': FixedOrderBy(F('last_checked_in'), nulls_last=True, descending=True),
},
}
filterset_class = CheckinOrderPositionFilter
permission = 'can_view_orders'
write_permission = 'can_change_orders'
@cached_property
def checkinlist(self):
try:
return get_object_or_404(CheckinList, event=self.request.event, pk=self.kwargs.get("list"))
except ValueError:
raise Http404()
def get_queryset(self):
cqs = Checkin.objects.filter(
position_id=OuterRef('pk'),
list_id=self.checkinlist.pk
).order_by().values('position_id').annotate(
m=Max('datetime')
).values('m')
qs = OrderPosition.objects.filter(
order__event=self.request.event,
order__status__in=[Order.STATUS_PAID, Order.STATUS_PENDING] if self.checkinlist.include_pending else [Order.STATUS_PAID],
subevent=self.checkinlist.subevent
).annotate(
last_checked_in=Subquery(cqs)
).prefetch_related(
Prefetch(
lookup='checkins',
queryset=Checkin.objects.filter(list_id=self.checkinlist.pk)
)
).select_related('item', 'variation', 'order', 'addon_to')
if not self.checkinlist.all_products:
qs = qs.filter(item__in=self.checkinlist.limit_products.values_list('id', flat=True))
return qs
@detail_route(methods=['POST'])
def redeem(self, *args, **kwargs):
force = bool(self.request.data.get('force', False))
ignore_unpaid = bool(self.request.data.get('ignore_unpaid', False))
nonce = self.request.data.get('nonce')
op = self.get_object()
if 'datetime' in self.request.data:
dt = DateTimeField().to_internal_value(self.request.data.get('datetime'))
else:
dt = now()
given_answers = {}
if 'answers' in self.request.data:
aws = self.request.data.get('answers')
for q in op.item.questions.filter(ask_during_checkin=True):
if str(q.pk) in aws:
try:
given_answers[q] = q.clean_answer(aws[str(q.pk)])
except ValidationError:
pass
try:
perform_checkin(
op=op,
clist=self.checkinlist,
given_answers=given_answers,
force=force,
ignore_unpaid=ignore_unpaid,
nonce=nonce,
datetime=dt,
questions_supported=self.request.data.get('questions_supported', True),
user=self.request.user,
auth=self.request.auth,
)
except RequiredQuestionsError as e:
return Response({
'status': 'incomplete',
'questions': [
QuestionSerializer(q).data for q in e.questions
]
}, status=400)
except CheckInError as e:
return Response({
'status': 'error',
'reason': e.code
}, status=400)
else:
return Response({
'status': 'ok',
}, status=201)
def prepare_invoice_data(data, invoice):
for dat in data:
stamp = dat['timestamp']
dat['date'] = str(stamp.date())
dat['time'] = str(stamp.time()).split('.')[0]
if dat['status'] == '007':
dat['stati'] = 'Paid'
elif dat['status'] == '600':
dat['stati'] = 'Returned'
elif dat['status'] == '000':
dat['stati'] = 'Voided'
elif dat['status'] == '419':
dat['stati'] = 'Unpaid'
elif dat['status'] == '202':
dat['stati'] = 'Overdue'
elif dat['status'] == '212':
dat['stati'] = 'Partly Paid'
else:
dat['stati'] = 'Unknown'
if 'customer_id' in dat.keys() and dat['customer_id']:
try:
customer = Customer.objects.get(pk=dat['customer_id'])
dat['customer'] = customer.name
except ObjectDoesNotExist:
dat['customer'] = ''
else:
dat['customer'] = ''
if 'supplier_id' in dat.keys() and dat['supplier_id']:
try:
supplier = Supplier.objects.get(pk=dat['supplier_id'])
dat['supplier'] = supplier.name
except ObjectDoesNotExist:
dat['supplier'] = ''
else:
dat['supplier'] = ''
if dat['employee_id']:
try:
employee = User.objects.get(pk=dat['employee_id'])
dat['employee'] = employee.username
except ObjectDoesNotExist:
dat['employee'] = ''
else:
dat['employee'] = ''
if invoice == 'SalesInvoice':
amount = CreditSale.objects.filter(invoice=dat['id']).aggregate(
amount=Sum(F('sp') * F('quantity'), output_field=FloatField()))
r_attr = SalesInvoice.objects.get(pk=dat['id'])
if hasattr(r_attr, 'salesreturninvoice'):
try:
r_num = SalesReturnInvoice.objects.get(
salesinvoice=dat['id'])
dat['number'] += " / " + r_num.number
except ObjectDoesNotExist:
pass
elif invoice == 'SalesReturnInvoice':
amount = CreditSalesReturn.objects.filter(
invoice=dat['id']).aggregate(amount=Sum(
F('sp') * F('quantity'), output_field=FloatField()))
try:
r_num = SalesReturnInvoice.objects.get(
salesinvoice=dat['salesinvoice_id'])
dat['number'] += " / " + r_num.salesinvoice.number
except ObjectDoesNotExist:
pass
elif invoice == 'PurchaseInvoice':
amount = CreditPurchase.objects.filter(
invoice=dat['id']).aggregate(amount=Sum(
F('sp') * F('quantity'), output_field=FloatField()))
r_attr = PurchaseInvoice.objects.get(pk=dat['id'])
if hasattr(r_attr, 'purchasereturninvoice'):
try:
r_num = PurchaseReturnInvoice.objects.get(
purchasesinvoice=dat['id'])
dat['number'] += " / " + r_num.number
except ObjectDoesNotExist:
pass
elif invoice == 'PurchaseReturnInvoice':
amount = CreditPurchaseReturn.objects.filter(
invoice=dat['id']).aggregate(amount=Sum(
F('sp') * F('quantity'), output_field=FloatField()))
try:
r_num = PurchaseReturnInvoice.objects.get(
purchasesinvoice=dat['purchasesinvoice_id'])
dat['number'] += " / " + r_num.purchasesinvoice.number
except ObjectDoesNotExist:
pass
dat['amount'] = amount['amount']
def matches(request):
query = None
results = []
if request.method == "GET":
query = Qualities.objects.all()
results = Qualities.objects.filter(
Q(Age_group__icontains=F('Age_group'))
| Q(Region__icontains=F('Region'))
| Q(Gender__icontains=F('Gender'))
| Q(Purpose__icontains=F('Purpose')) | Q(one__icontains=F('one'))
| Q(two__icontains=F('two'))
| Q(three__icontains=F('three')) | Q(four__icontains=F('four'))
| Q(five__icontains=F('five')) | Q(six__icontains=F('six'))
| Q(seven__icontains=F('seven')) | Q(eight__icontains=F('eight'))
| Q(nine__icontains=F('nine')) | Q(ten__icontains=F('ten'))
| Q(eleven__icontains=F('eleven'))
| Q(twelve__icontains=F('twelve'))).exclude(user=request.user)
context = {'query': query, 'results': results}
return render(request, 'matches.html', context)
def paly(request):
errors = request.GET.get('error')
if errors == None or errors == '':
error = False
else:
error = errors
video_id = request.GET.get('video_id')
key = request.GET.get('key')
if request.method == 'GET':
author_key = False
info = Video.objects.get(id=video_id)
doctor = Doctor.objects.get(id=info.doctor)
try:
patient_key = request.session['patient']
except:
patient_key = False
try:
doctor_key = request.session['doctor']
except:
doctor_key = False
if patient_key != False:
patient = patient_key['id']
video = video_id
recode = Recode.objects.filter(video=video).order_by(
F('id').desc())
if len(recode) == 0:
re = Recode(patient=patient, video=video)
re.save()
else:
change_time = Recode.objects.get(video=video)
from datetime import datetime
dt = datetime.now()
current_time = dt.strftime('%Y-%m-%d %H:%M:%S')
change_time.time = current_time
change_time.save()
if key == 'person' and doctor_key != False:
author_key = True
commet_info = Commet.objects.filter(video=video_id).order_by(
F('id').desc())
for com in commet_info:
com.patient = Patient.objects.get(id=com.patient).name
limit = 9
all_commmet = len(commet_info)
page_key = False
if all_commmet > 9:
page_key = True
p = Paginator(commet_info, limit)
page = request.GET.get("page", 1)
loaded = p.page(page)
info_video = Video.objects.all().order_by(F('id').desc()) #限量
return render(
request, 'paly.html', {
"video_info": info,
'doctor': doctor,
'patient_key': patient_key,
"doctor_key": doctor_key,
"author_key": author_key,
"error": error,
'key': key,
"info_video": info_video,
'all_commmet': all_commmet,
'video_id': video_id,
"commet_info": loaded,
"page_key": page_key,
})
if request.method == 'POST':
try:
patient_key = request.session['patient']
patient = Patient.objects.get(id=patient_key['id']).id
video = Video.objects.get(id=video_id).id
info = request.POST.get('info')
comemt = Commet(info=info, video=video, patient=patient)
comemt.save()
return HttpResponseRedirect(
"/paly_video/?video_id={0}&key={1}&error=评论成功".format(
video_id, key))
except Exception as e:
return HttpResponseRedirect(
"/paly_video/?video_id={0}&key={1}&error=不能评论个人发布的视频".format(
video_id, key))
def calculate_amount(self):
expression = ExpressionWrapper(F('quantity') * F('unit_price'),
output_field=DecimalField())
return self.items.aggregate(amount=Sum(expression))['amount']
def pending_line_items(self):
""" Return a list of pending line items for this order.
Any line item where 'received' < 'quantity' will be returned.
"""
return self.lines.filter(quantity__gt=F('received'))
def __init__(self, provider, report_type):
"""Constructor."""
self._mapping = [{
"provider":
Provider.PROVIDER_AZURE,
"alias":
"subscription_guid", # FIXME: probably wrong
"annotations": {},
"end_date":
"costentrybill__billing_period_end",
"filters": {
"subscription_guid": [{
"field": "subscription_guid",
"operation": "icontains",
"composition_key": "account_filter"
}],
"service_name": {
"field": "service_name",
"operation": "icontains"
},
"resource_location": {
"field": "resource_location",
"operation": "icontains"
},
"instance_type": {
"field": "instance_type",
"operation": "icontains"
},
},
"group_by_options": [
"service_name", "subscription_guid", "resource_location",
"instance_type"
],
"tag_column":
"tags",
"report_type": {
"costs": {
"aggregates": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Sum(Value(0, output_field=DecimalField())),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Sum(Value(0, output_field=DecimalField())),
"sup_usage":
Sum(Value(0, output_field=DecimalField())),
"sup_markup":
Sum(Value(0, output_field=DecimalField())),
"sup_total":
Sum(Value(0, output_field=DecimalField())),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Sum(Value(0, output_field=DecimalField())),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
},
"aggregate_key": "pretax_cost",
"annotations": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Value(0, output_field=DecimalField()),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Value(0, output_field=DecimalField()),
"sup_usage":
Value(0, output_field=DecimalField()),
"sup_markup":
Value(0, output_field=DecimalField()),
"sup_total":
Value(0, output_field=DecimalField()),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Value(0, output_field=DecimalField()),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_units":
Coalesce(Max("currency"), Value("USD")),
},
"delta_key": {
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField())))
},
"filter": [{}],
"cost_units_key": "currency",
"cost_units_fallback": "USD",
"sum_columns": ["cost_total", "sup_total", "infra_total"],
"default_ordering": {
"cost_total": "desc"
},
},
"instance_type": {
"aggregates": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Sum(Value(0, output_field=DecimalField())),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Sum(Value(0, output_field=DecimalField())),
"sup_usage":
Sum(Value(0, output_field=DecimalField())),
"sup_markup":
Sum(Value(0, output_field=DecimalField())),
"sup_total":
Sum(Value(0, output_field=DecimalField())),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Sum(Value(0, output_field=DecimalField())),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"count":
Sum(Value(0, output_field=DecimalField())),
"usage":
Sum("usage_quantity"),
},
"aggregate_key":
"usage_quantity",
"annotations": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Value(0, output_field=DecimalField()),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Value(0, output_field=DecimalField()),
"sup_usage":
Value(0, output_field=DecimalField()),
"sup_markup":
Value(0, output_field=DecimalField()),
"sup_total":
Value(0, output_field=DecimalField()),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Value(0, output_field=DecimalField()),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_units":
Coalesce(Max("currency"), Value("USD")),
"count":
Max("instance_count"),
"count_units":
Value("instance_types", output_field=CharField()),
"usage":
Sum("usage_quantity"),
# FIXME: Waiting on MSFT for usage_units default
"usage_units":
Coalesce(Max("unit_of_measure"),
Value("Instance Type Placeholder")),
},
"delta_key": {
"usage": Sum("usage_quantity")
},
"filter": [{
"field": "instance_type",
"operation": "isnull",
"parameter": False
}],
"group_by": ["instance_type"],
"cost_units_key":
"currency",
"cost_units_fallback":
"USD",
"usage_units_key":
"unit_of_measure",
"usage_units_fallback":
"Instance Type Placeholder", # FIXME: Waiting on MSFT
"count_units_fallback":
"instances",
"sum_columns": [
"usage", "cost_total", "sup_total", "infra_total",
"count"
],
"default_ordering": {
"usage": "desc"
},
},
"storage": {
"aggregates": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Sum(Value(0, output_field=DecimalField())),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Sum(Value(0, output_field=DecimalField())),
"sup_usage":
Sum(Value(0, output_field=DecimalField())),
"sup_markup":
Sum(Value(0, output_field=DecimalField())),
"sup_total":
Sum(Value(0, output_field=DecimalField())),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Sum(Value(0, output_field=DecimalField())),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"usage":
Sum("usage_quantity"),
},
"aggregate_key":
"usage_quantity",
"annotations": {
"infra_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"infra_raw":
Sum("pretax_cost"),
"infra_usage":
Value(0, output_field=DecimalField()),
"infra_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"sup_raw":
Value(0, output_field=DecimalField()),
"sup_usage":
Value(0, output_field=DecimalField()),
"sup_markup":
Value(0, output_field=DecimalField()),
"sup_total":
Value(0, output_field=DecimalField()),
"cost_total":
Sum(
Coalesce(F("pretax_cost"),
Value(0, output_field=DecimalField())) +
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_raw":
Sum("pretax_cost"),
"cost_usage":
Value(0, output_field=DecimalField()),
"cost_markup":
Sum(
Coalesce(F("markup_cost"),
Value(0, output_field=DecimalField()))),
"cost_units":
Coalesce(Max("currency"), Value("USD")),
"usage":
Sum("usage_quantity"),
"usage_units":
Coalesce(Max("unit_of_measure"),
Value("Storage Type Placeholder")),
},
"delta_key": {
"usage": Sum("usage_quantity")
},
"filter": [{
"field": "service_name",
"operation": "icontains",
"parameter": "Storage"
}],
"cost_units_key":
"currency",
"cost_units_fallback":
"USD",
"usage_units_key":
"unit_of_measure",
"usage_units_fallback":
"Storage Type Placeholder", # FIXME
"sum_columns":
["usage", "cost_total", "sup_total", "infra_total"],
"default_ordering": {
"usage": "desc"
},
},
"tags": {
"default_ordering": {
"cost_total": "desc"
}
},
},
"start_date":
"costentrybill__billing_period_start",
"tables": {
"query": AzureCostEntryLineItemDailySummary
},
}]
self.views = {
"costs": {
"default": AzureCostSummary,
"subscription_guid": AzureCostSummaryByAccount,
"resource_location": AzureCostSummaryByLocation,
"service_name": AzureCostSummaryByService,
},
"instance_type": {
"default": AzureComputeSummary,
"instance_type": AzureComputeSummary
},
"storage": {
"default": AzureStorageSummary
},
"database": {
"default": AzureDatabaseSummary,
"service_name": AzureDatabaseSummary
},
"network": {
"default": AzureNetworkSummary,
"service_name": AzureNetworkSummary
},
}
super().__init__(provider, report_type)
def generar_resultados(self, fecha_inicial, fecha_final, con_mo_saldo_inicial, proyecto):
context = {}
mano_obra = HoraHojaTrabajo.objects.values('literal').annotate(
horas_trabajadas=ExpressionWrapper(
Coalesce(Sum('cantidad_minutos') / 60, 0),
output_field=DecimalField(max_digits=2)),
costo_total=ExpressionWrapper(
Sum(Coalesce(F('cantidad_minutos') / 60, 0) * (
F('hoja__tasa__costo') / F('hoja__tasa__nro_horas_mes_trabajadas')
)),
output_field=DecimalField(max_digits=4))
).filter(
verificado=True,
literal_id=OuterRef('id'),
)
materiales = ItemsLiteralDetalle.objects.values('literal').annotate(
costo_total=Coalesce(Sum('costo_total'), 0)
).filter(
literal_id=OuterRef('id')
)
if fecha_inicial and fecha_final:
materiales = materiales.filter(
lapso__lte=fecha_final,
lapso__gte=fecha_inicial
)
mano_obra = mano_obra.filter(
hoja__fecha__lte=fecha_final,
hoja__fecha__gte=fecha_inicial
)
qsLiterales = Literal.objects
if proyecto:
qsLiterales = qsLiterales.filter(
proyecto=proyecto
)
qsLiterales = qsLiterales.annotate(
costo_mano_obra_iniciales=ExpressionWrapper(
Coalesce(Sum('mis_horas_trabajadas_iniciales__valor'), 0),
output_field=DecimalField(max_digits=4)
),
cantidad_mano_obra_iniciales=ExpressionWrapper(
Coalesce(Sum('mis_horas_trabajadas_iniciales__cantidad_minutos'), 0) / 60,
output_field=DecimalField(max_digits=4)
),
cantidad_horas_trabajadas=ExpressionWrapper(
Subquery(mano_obra.values('horas_trabajadas')),
output_field=DecimalField(max_digits=4)
),
costo_mano_obra=ExpressionWrapper(
Subquery(mano_obra.values('costo_total')),
output_field=DecimalField(max_digits=4)
),
costo_mis_materiales=ExpressionWrapper(
Coalesce(Subquery(materiales.values('costo_total')), 0),
output_field=DecimalField(max_digits=4)
)
).distinct()
total_costo_mo = 0
total_costo_mo_ini = 0
total_horas_mo_ini = 0
total_horas_mo = 0
for literal in qsLiterales:
if literal.cantidad_horas_trabajadas:
total_horas_mo += literal.cantidad_horas_trabajadas
if literal.cantidad_mano_obra_iniciales and con_mo_saldo_inicial:
total_horas_mo_ini += literal.cantidad_mano_obra_iniciales
if literal.costo_mano_obra:
total_costo_mo += literal.costo_mano_obra
if literal.costo_mano_obra_iniciales and con_mo_saldo_inicial:
total_costo_mo_ini += literal.costo_mano_obra_iniciales
total_costo_materiales = qsLiterales.aggregate(Sum('costo_mis_materiales'))['costo_mis_materiales__sum']
context['tipo_consulta'] = 'Todo'
if fecha_inicial and fecha_final:
context['tipo_consulta'] = 'por lapso'
context['fecha_inicial'] = fecha_inicial
context['fecha_final'] = fecha_final
context['literales'] = qsLiterales
context['proyecto'] = proyecto
context['con_mo_saldo_inicial'] = con_mo_saldo_inicial
context['total_costo_mo'] = total_costo_mo
context['total_costo_mo_ini'] = total_costo_mo_ini
context['total_costo_materiales'] = total_costo_materiales
context['total_costo'] = total_costo_mo + total_costo_mo_ini + total_costo_materiales
context['total_horas_mo'] = total_horas_mo
context['total_horas_mo_ini'] = total_horas_mo_ini
return context
def with_duration(self):
"""Annotate the queryset with the duration of completed jobs"""
return self.annotate(duration=F("completed_at") - F("started_at"))
'creator',
'creatoremail',
'creatorwebsite',
'custom_country_filter',
'key_code',
],
'startrun':
prize_run_fields,
'endrun':
prize_run_fields,
'category': ['name'],
},
}
EVENT_DONATION_AGGREGATE_FILTER = Case(
When(EventAggregateFilter, then=F('donation__amount')),
output_field=DecimalField(decimal_places=2),
)
annotations = {
'event': {
'amount': Coalesce(Sum(EVENT_DONATION_AGGREGATE_FILTER), 0),
'count': Count(EVENT_DONATION_AGGREGATE_FILTER),
'max': Coalesce(Max(EVENT_DONATION_AGGREGATE_FILTER), 0),
'avg': Coalesce(Avg(EVENT_DONATION_AGGREGATE_FILTER), 0),
},
'prize': {
'numwinners':
Count(
Case(When(PrizeWinnersFilter, then=1),
output_field=IntegerField())),
def calculate_paths(self, filter: Filter, team: Team):
date_query = request_to_date_query(
{
"date_from": filter._date_from,
"date_to": filter._date_to
},
exact=False)
resp = []
event, path_type, event_filter, start_comparator = self._determine_path_type(
filter.path_type if filter else None)
sessions = (Event.objects.add_person_id(team.pk).filter(
team=team, **(event_filter), **date_query
).filter(~Q(event__in=[
"$autocapture", "$pageview", "$identify", "$pageleave", "$screen"
]) if event is None else Q()).filter(
filter.properties_to_Q(team_id=team.pk) if filter
and filter.properties else Q()).annotate(previous_timestamp=Window(
expression=Lag("timestamp", default=None),
partition_by=F("person_id"),
order_by=F("timestamp").asc(),
)))
sessions_sql, sessions_sql_params = sessions.query.sql_with_params()
if event == "$autocapture":
sessions_sql = self._add_elements(query_string=sessions_sql)
events_notated = "\
SELECT *, CASE WHEN EXTRACT('EPOCH' FROM (timestamp - previous_timestamp)) >= (60 * 30) OR previous_timestamp IS NULL THEN 1 ELSE 0 END AS new_session\
FROM ({}) AS inner_sessions\
".format(sessions_sql)
sessionified = "\
SELECT events_notated.*, SUM(new_session) OVER (\
ORDER BY person_id\
,timestamp\
) AS session\
FROM ({}) as events_notated\
".format(events_notated)
if filter and filter.start_point:
sessionified = self._apply_start_point(
start_comparator=start_comparator,
query_string=sessionified,
start_point=filter.start_point,
)
final = "\
SELECT {} as path_type, id, sessionified.session\
,ROW_NUMBER() OVER (\
PARTITION BY person_id\
,session ORDER BY timestamp\
) AS event_number\
FROM ({}) as sessionified\
".format(path_type, sessionified)
counts = "\
SELECT event_number || '_' || path_type as target_event, id as target_id, LAG(event_number || '_' || path_type, 1) OVER (\
PARTITION BY session\
) AS source_event , LAG(id, 1) OVER (\
PARTITION BY session\
) AS source_id from \
({}) as final\
where event_number <= 4\
".format(final)
query = "\
SELECT source_event, target_event, MAX(target_id), MAX(source_id), count(*) from ({}) as counts\
where source_event is not null and target_event is not null\
group by source_event, target_event order by count desc limit 20\
".format(counts)
cursor = connection.cursor()
cursor.execute(query, sessions_sql_params)
rows = cursor.fetchall()
for row in rows:
resp.append({
"source": row[0],
"target": row[1],
"target_id": row[2],
"source_id": row[3],
"value": row[4],
})
resp = sorted(resp, key=lambda x: x["value"], reverse=True)
return resp
def post(self, request, *args, **kwargs):
# TODO add query to database
# Prepared to the ajax pagination, remember that we need to return number of rows = length
# start - selected page on the UI (if first page selected then start = 0)
# sortColumn - name of the sorting column
# sortColumnDir - asc or desc
selected_month = int(self.request.POST.get('selectedMonth'))
selected_year = int(self.request.POST.get('selectedYear'))
selected_date = date(selected_year, selected_month, 1)
selected_location = self.request.POST.get('selectedLocation')
beneficiary_type = self.request.POST.get('selectedBeneficiaryType')
draw = self.request.POST.get('draw', 0)
length = self.request.POST.get('length', 0)
start = self.request.POST.get('start', 0)
sortColumn = self.request.POST.get('sortColumn', 0)
sortColumnDir = self.request.POST.get('sortColumnDir', 0)
data = []
if beneficiary_type == 'child':
data = [
dict(id=1,
name='test 1',
age='27',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
dict(id=2,
name='test 2',
age='12',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
dict(id=3,
name='test 3',
age='3',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
dict(id=4,
name='test 4',
age='5',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
dict(id=5,
name='test 5',
age='16',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
dict(id=6,
name='test 6',
age='19',
gender='M',
lastImmunizationType=1,
lastImmunizationDate='2018-03-03'),
]
elif beneficiary_type == 'eligible_couple':
data = (
Woman.objects.annotate(age=ExtractYear(
Func(F('dob'), function='age')), ).filter(
# should filter for location
domain=request.domain,
age__range=(19, 49),
marital_status='married',
).exclude(migration_status='yes').extra(
select={
'currentFamilyPlanningMethod': 0,
'adoptionDateOfFamilyPlaning': '2018-03-01',
'id': 'person_case_id',
},
where=[
"NOT daterange(%s, %s) && any(pregnant_ranges)"
],
params=[
selected_date,
selected_date + relativedelta(months=1)
]).values('id', 'name', 'age',
'currentFamilyPlanningMethod',
'adoptionDateOfFamilyPlaning'))[:10]
data = list(data)
elif beneficiary_type == 'pregnant_women':
data = [
dict(id=1,
name='test 1',
age='22',
pregMonth='2018-03-03',
highRiskPregnancy=1,
noOfAncCheckUps=9),
dict(id=2,
name='test 2',
age='32',
pregMonth='2018-03-03',
highRiskPregnancy=0,
noOfAncCheckUps=9),
dict(id=3,
name='test 3',
age='17',
pregMonth='2018-03-03',
highRiskPregnancy=1,
noOfAncCheckUps=9),
dict(id=4,
name='test 4',
age='56',
pregMonth='2018-03-03',
highRiskPregnancy=1,
noOfAncCheckUps=9),
dict(id=5,
name='test 5',
age='48',
pregMonth='2018-03-03',
highRiskPregnancy=0,
noOfAncCheckUps=9),
dict(id=6,
name='test 6',
age='19',
pregMonth='2018-03-03',
highRiskPregnancy=1,
noOfAncCheckUps=9),
]
return JsonResponse(
data={
'rows': data,
'draw': draw,
'recordsTotal': len(data),
'recordsFiltered': len(data),
})
def funit_dscd_er(self, format, param):
print(param)
print(format)
report_data = UnitSancDesg.objects.values(
'u_id', 'd5', 'u_name', 'd_gdesig', 'd_id', 'd_rank', 'd_discp',
'd_name', 'd_grade', 'd_gcode', 'tot', 'san', 'req', 'comment',
'd_cadre').annotate(total_count=ExpressionWrapper(
F('san') + F('tot') +
F('req'), output_field=models.IntegerField())).filter(
u_id=param['u_id'],
total_count__gt=0).order_by('d5', 'd_gcode')
print(report_data)
rpt = Report(report_data)
pos_x_start = 36
pos_y_start = 24
col_1_pos = (pos_x_start, pos_y_start)
col_2_pos = (col_1_pos[0] + 200, pos_y_start)
col_3_pos = (col_2_pos[0] + 100, pos_y_start)
col_4_pos = (col_3_pos[0] + 50, pos_y_start)
col_5_pos = (col_4_pos[0] + 50, pos_y_start)
col_6_pos = (col_5_pos[0] + 50, pos_y_start)
col_7_pos = (col_6_pos[0] + 50, pos_y_start)
rpt.pageheader = Band([
Element((36, 0), ("Times-Bold", 20),
getvalue=lambda x: x["u_name"].upper(),
format=lambda x: "Unit Summary : %s" % x),
Element(col_1_pos, ("Helvetica-Bold", 12), text="Designation"),
Element(col_2_pos, ("Helvetica-Bold", 12),
text="Grade",
align="center"),
Element(col_3_pos, ("Helvetica-Bold", 12),
text="Cadre",
align="center"),
Element(col_4_pos, ("Helvetica-Bold", 12),
text="Ext",
align="center",
width=50),
Element(col_5_pos, ("Helvetica-Bold", 12),
text="Req",
align="center",
width=50),
Element(col_6_pos, ("Helvetica-Bold", 12),
text="San",
align="center",
width=50),
# Element(col_7_pos, ("Helvetica-Bold", 12), text="San", align="center", width=50),
Rule((36, 56), 7.5 * 72, thickness=2),
])
rpt.groupheaders = [
Band(
[
# Rule((36, 20), 7.5 * 72),
Element(
(36, 4),
("Helvetica-Bold", 10),
getvalue=lambda x: x["d_gdesig"].upper(),
# format=lambda x: "Group Designation : %s" % x
),
],
getvalue=lambda x: x["d_gdesig"].upper()),
]
comment_band = Band([
Element(
(col_1_pos[0], 0),
("Helvetica", 10),
key="comment",
align="left",
)
])
rpt.detailband = Band([
Element(
(col_1_pos[0], 0),
("Helvetica", 10),
getvalue=lambda x: x["d_name"].upper(),
),
Element((col_2_pos[0], 0), ("Helvetica", 10),
key="d_grade",
align="left"),
Element((col_3_pos[0], 0), ("Helvetica", 10),
key="d_cadre",
align="right"),
Element((col_4_pos[0], 0), ("Helvetica", 10),
getvalue=lambda x: x["tot"] or 0,
align="right"),
Element((col_5_pos[0], 0), ("Helvetica", 10),
getvalue=lambda x: x["req"] or 0,
align="right"),
Element((col_6_pos[0], 0), ("Helvetica", 10),
getvalue=lambda x: x["san"] or 0,
align="right")
]) #, additionalbands=[comment_band]
rpt.groupfooters = [
Band(
[
Rule((col_4_pos[0] - 24, 4), 30),
Rule((col_5_pos[0] - 24, 4), 30),
Rule((col_6_pos[0] - 24, 4), 30),
Element((col_1_pos[0], 4), ("Helvetica-Bold", 10),
getvalue=lambda x: x["d_gdesig"].upper(),
format=lambda x: "Subtotal"
# format=lambda x: "Subtotal for %s" % x
),
SumElement((col_4_pos[0], 4), ("Helvetica-Bold", 10),
key="tot",
align="right"),
SumElement((col_5_pos[0], 4), ("Helvetica-Bold", 10),
key="req",
align="right"),
SumElement((col_6_pos[0], 4), ("Helvetica-Bold", 10),
key="san",
align="right"),
Element((36, 16), ("Helvetica-Bold", 10), text=""),
],
getvalue=lambda x: x["d_gdesig"].upper(),
newpageafter=0),
]
rpt.reportfooter = Band([
Rule((col_4_pos[0] - 24, 4), 30),
Rule((col_5_pos[0] - 24, 4), 30),
Rule((col_6_pos[0] - 24, 4), 30),
Element((240, 4), ("Helvetica-Bold", 10), text="Unit Total"),
SumElement((col_4_pos[0], 4), ("Helvetica-Bold", 10),
key="tot",
align="right"),
SumElement((col_5_pos[0], 4), ("Helvetica-Bold", 10),
key="req",
align="right"),
SumElement((col_6_pos[0], 4), ("Helvetica-Bold", 10),
key="san",
align="right"),
Element((36, 16), ("Helvetica-Bold", 10), text=""),
])
rpt.pagefooter = Band([
Element((400, 16), ("Times-Bold", 10),
text="Industrial Engineering Dept, WCL HQ",
align="right"),
Element((36, 16), ("Helvetica-Bold", 10),
sysvar="pagenumber",
format=lambda x: "Page %d" % x),
])
file_loc = "./report_folder/" + param['u_id'] + ".pdf"
canvas = Canvas(file_loc, (210 * mm, 297 * mm))
rpt.generate(canvas)
print("report generated at %s" % file_loc)
canvas.save()
return file_loc
def active(self, date):
return self.filter(Q(usage_limit__isnull=True)
| Q(used__lt=F('usage_limit')),
Q(end_date__isnull=True) | Q(end_date__gte=date),
start_date__lte=date)
def expand_child(model: Type[Model], child: Tuple[str, Any]) -> Lookup:
arg, value = child
if not isinstance(value, Value):
value = Value(value)
parts = arg.split(LOOKUP_SEP)
opts = model._meta # type: Options
inner_opts = opts
field = None # type: Field
pos = 0
# we need to work out the full field path, which we will put in an F()
for pos, part in enumerate(parts):
if part == 'pk':
part = inner_opts.pk.name
try:
field = inner_opts.get_field(part)
except FieldDoesNotExist:
break
else:
if field.is_relation:
inner_opts = field.model._meta
else:
# we never broke out, which means everything resolved correctly.
# bump pos by one so we get no remainder
pos += 1
if field is None:
raise Exception("Field not found: {}".format(parts))
field_path = LOOKUP_SEP.join(parts[:pos])
expression = F(field_path)
# we set lookup_expression to field as that's what we're gathering from.
# It will be updated in parallel with `expression` later on
lookup_expression = field
# we need to wrap the F() so we can specify the output field.
# It's kind of bastardised..
expression = ExpressionWrapper(expression, output_field=field)
remainder = parts[pos:]
if not remainder:
remainder = ['exact']
# we don't try to access the last entry, as that is probably a lookup
for part in remainder[:-1]:
transformer = lookup_expression.get_transform(part)
if not transformer:
raise Exception("Invalid transform: {}".format(part))
lookup_expression = expression = transformer(expression)
lookup_name = remainder[-1]
lookup_class = lookup_expression.get_lookup(lookup_name)
if not lookup_class:
transformer = lookup_expression.get_transform(lookup_name)
if not transformer:
raise Exception(
"invalid transform or field access: {}".format(lookup_name))
lookup_expression = expression = transformer(expression)
lookup_name = 'exact'
lookup_class = lookup_expression.get_lookup(lookup_name)
# we'd rather use isnull instead of Eq(None)
if value.value is None and lookup_name in ('exact', 'iexact'):
return lookup_expression.get_lookup('isnull')(expression, True)
return lookup_class(expression, value)
def fill_entity_fks(apps, schema_editor):
get_model = apps.get_model
for model_name in ('Action', 'Alert', 'Memo', 'ToDo', 'UserMessage'):
get_model('assistants',
model_name).objects.update(entity_id=F('old_entity_id'))
def with_free_places(self):
qs = super().get_queryset()
return qs.annotate(
free_places=F('total_places') -
Sum('volunteers__participant_count', output_field=IntegerField()))
def poll_post_vote(sender, poll, user, **kwargs):
TopicPollChoice.objects.filter(poll=poll, votes__user=user)\
.update(vote_count=F('vote_count') + 1)
def get(self, request, course_key):
"""
Returns a gradebook entry/entries (i.e. both course and subsection-level grade data)
for all users enrolled in a course, or a single user enrolled in a course
if a `username` parameter is provided.
Args:
request: A Django request object.
course_key: The edx course opaque key of a course object.
"""
course = get_course_by_id(course_key, depth=None)
# We fetch the entire course structure up-front, and use this when iterating
# over users to determine their subsection grades. We purposely avoid fetching
# the user-specific course structure for each user, because that is very expensive.
course_data = CourseData(user=None, course=course)
graded_subsections = list(grades_context.graded_subsections_for_course(course_data.collected_structure))
if request.GET.get('username'):
with self._get_user_or_raise(request, course_key) as grade_user:
course_grade = CourseGradeFactory().read(grade_user, course)
entry = self._gradebook_entry(grade_user, course, graded_subsections, course_grade)
serializer = StudentGradebookEntrySerializer(entry)
return Response(serializer.data)
else:
q_objects = []
annotations = {}
if request.GET.get('user_contains'):
search_term = request.GET.get('user_contains')
q_objects.append(
Q(user__username__icontains=search_term) |
Q(programcourseenrollment__program_enrollment__external_user_key__icontains=search_term) |
Q(user__email__icontains=search_term)
)
if request.GET.get('username_contains'):
q_objects.append(Q(user__username__icontains=request.GET.get('username_contains')))
if request.GET.get('cohort_id'):
cohort = cohorts.get_cohort_by_id(course_key, request.GET.get('cohort_id'))
if cohort:
q_objects.append(Q(user__in=cohort.users.all()))
else:
q_objects.append(Q(user__in=[]))
if request.GET.get('enrollment_mode'):
q_objects.append(Q(mode=request.GET.get('enrollment_mode')))
if request.GET.get('assignment') and (
request.GET.get('assignment_grade_max')
or request.GET.get('assignment_grade_min')):
subqueryset = PersistentSubsectionGrade.objects.annotate(
effective_grade_percentage=Case(
When(override__isnull=False,
then=(
F('override__earned_all_override')
/ F('override__possible_all_override')
) * 100),
default=(F('earned_all') / F('possible_all')) * 100
)
)
grade_conditions = {
'effective_grade_percentage__range': (
request.GET.get('assignment_grade_min', 0),
request.GET.get('assignment_grade_max', 100)
)
}
annotations['selected_assignment_grade_in_range'] = Exists(
subqueryset.filter(
course_id=OuterRef('course'),
user_id=OuterRef('user'),
usage_key=UsageKey.from_string(request.GET.get('assignment')),
**grade_conditions
)
)
q_objects.append(Q(selected_assignment_grade_in_range=True))
if request.GET.get('course_grade_min') or request.GET.get('course_grade_max'):
grade_conditions = {}
q_object = Q()
if request.GET.get('course_grade_min'):
course_grade_min = float(request.GET.get('course_grade_min')) / 100
grade_conditions['percent_grade__gte'] = course_grade_min
if course_grade_min == 0:
subquery_grade_absent = ~Exists(
PersistentCourseGrade.objects.filter(
course_id=OuterRef('course'),
user_id=OuterRef('user_id'),
)
)
annotations['course_grade_absent'] = subquery_grade_absent
q_object |= Q(course_grade_absent=True)
if request.GET.get('course_grade_max'):
course_grade_max = float(request.GET.get('course_grade_max')) / 100
grade_conditions['percent_grade__lte'] = course_grade_max
subquery_grade_in_range = Exists(
PersistentCourseGrade.objects.filter(
course_id=OuterRef('course'),
user_id=OuterRef('user_id'),
**grade_conditions
)
)
annotations['course_grade_in_range'] = subquery_grade_in_range
q_object |= Q(course_grade_in_range=True)
q_objects.append(q_object)
entries = []
related_models = ['user']
users = self._paginate_users(course_key, q_objects, related_models, annotations=annotations)
users_counts = self._get_users_counts(course_key, q_objects, annotations=annotations)
with bulk_gradebook_view_context(course_key, users):
for user, course_grade, exc in CourseGradeFactory().iter(
users, course_key=course_key, collected_block_structure=course_data.collected_structure
):
if not exc:
entry = self._gradebook_entry(user, course, graded_subsections, course_grade)
entries.append(entry)
serializer = StudentGradebookEntrySerializer(entries, many=True)
return self.get_paginated_response(serializer.data, **users_counts)
class TestModelAdmin(ModelAdmin):
ordering = (F('nonexistent'), )
def set_group_data(self, group_type):
m = group_type.objects.filter(megasession=self)
# WE GET AND ASSIGN SENDER DESIONS TO GROUP OBJECTS HERE
subquery_head = group_type.objects.filter(
id=OuterRef('id')
).annotate(sender_city=F('sender__city'),
receiver_city=F('receiver__city'))
sender_decision = Subquery(
subquery_head.annotate(sender_decision=Sum('sender__owner__trust_player__decisions__answer',
filter=(Q(
sender__owner__trust_player__decisions__decision_type='sender_decision'
) & Q(
sender__owner__trust_player__decisions__city=F(
'receiver_city')
)))).values('sender_decision')[:1]
)
receiver_decision = Subquery(
subquery_head.annotate(receiver_decision=Sum('receiver__owner__trust_player__decisions__answer',
filter=(Q(
receiver__owner__trust_player__decisions__decision_type='return_decision'
) & Q(
receiver__owner__trust_player__decisions__city=F(
'sender__city')
)))).values('receiver_decision')[:1]
)
sender_belief_re_receiver = Subquery(
subquery_head.annotate(sender_belief=Sum('sender__owner__trust_player__decisions__answer',
filter=(Q(
sender__owner__trust_player__decisions__decision_type='sender_belief'
) & Q(
sender__owner__trust_player__decisions__city=F(
'receiver__city')
)))).values('sender_belief')[:1]
)
receiver_belief_re_sender = Subquery(
subquery_head.annotate(receiver_belief=Sum('receiver__owner__trust_player__decisions__answer',
filter=(Q(
receiver__owner__trust_player__decisions__decision_type='receiver_belief'
) & Q(
receiver__owner__trust_player__decisions__city=F(
'sender__city')
)))).values('receiver_belief')[:1]
)
m.update(sender_decision_re_receiver=sender_decision,
receiver_decision_re_sender=receiver_decision,
sender_belief_re_receiver=sender_belief_re_receiver,
receiver_belief_re_sender=receiver_belief_re_sender,
)
m = group_type.objects.filter(megasession=self)
receiver_correct_guess = Case(
When(sender_decision_re_receiver=receiver_belief_re_sender, then=Value(True)),
default=Value(False),
output_field=BooleanField(),
)
m.update(sender_belief_diff=Abs(F('receiver_decision_re_sender') - F('sender_belief_re_receiver')), )
m = group_type.objects.filter(megasession=self)
m.update(
has_sender_sent=Case(When(~Q(sender_decision_re_receiver=0), then=Value(True)),
default=Value(False),
output_field=BooleanField()),
receiver_correct_guess=receiver_correct_guess,
sender_guess_payoff=Case(
When(sender_belief_diff=0, then=Value(20)),
When(sender_belief_diff=3, then=Value(10), ),
default=Value(0),
output_field=IntegerField()
)
)
def resolve_products(self, info, page, page_size, route, sizes, colors,
effects, tags, hit, new, query, order):
route_filter = Q(categories__path__icontains=route)
sizes_list = list(filter(None, map(str.strip, sizes.split(','))))
all_sizes_list = {
'size_ns': 'Без размера',
'size_xs': 'XS',
'size_s': 'S',
'size_m': 'M',
'size_l': 'L',
'size_xl': 'XL',
'size_2xl': 'XXL',
'size_3xl': 'XXXL',
'size_4xl': 'XXXXL',
}
all_sizes_list_rev = dict(
zip(all_sizes_list.values(), all_sizes_list.keys()))
avaliable_sizes = [all_sizes_list_rev[key] for key in sizes_list]
sizes_filter = Q()
for size in avaliable_sizes:
sizes_filter |= Q(**{size + '__gt': 0})
color_list = list(filter(None, map(str.strip, colors.split(','))))
color_filter = Q(colors__name__in=color_list) if color_list else Q()
effects_list = list(filter(None, map(str.strip, effects.split(','))))
effect_glow_in_the_dark = 'Светится в темноте' in effects_list
effect_glow_in_the_uv = 'Светится в ультрафиолете' in effects_list
effects_filter = Q()
if effect_glow_in_the_dark:
effects_filter = effects_filter & Q(glow_in_the_dark=True)
if effect_glow_in_the_uv:
effects_filter = effects_filter & Q(glow_in_the_uv=True)
tag_list = list(filter(None, map(str.strip, tags.split(','))))
tag_filter = Q(tags__name__in=tag_list) if tag_list else Q()
hit_filter = Q()
if hit:
hit_filter = hit_filter & Q(hit=True)
new_filter = Q()
if hit:
new_filter = new_filter & Q(hit=True)
query_filter = Q(translations__description__icontains=query) \
| Q(model__icontains=query) \
| Q(sku__icontains=query)
pqs = Product.objects.filter(enable=True, total_count__gt=0)
pqs = pqs.filter(route_filter)
pqs = pqs.filter(query_filter)
pqs = pqs.filter(hit_filter)
pqs = pqs.filter(new_filter)
qs = pqs.filter(color_filter)
qs = qs.filter(effects_filter)
qs = qs.filter(sizes_filter)
qs = qs.filter(tag_filter)
qs = qs.distinct()
sizes_qs = [
{
'lable':
value,
'count':
pqs.filter(effects_filter & color_filter).values(key).filter(
Q(**{key + '__gt': 0})).count()
# 'value': True if key in avaliable_sizes else False
} for key, value in all_sizes_list.items()
]
color_qs = pqs \
.annotate(lable=F('colors__name')).values('lable') \
.exclude(lable__isnull=True) \
.annotate(count=Count('lable', filter=effects_filter & sizes_filter)) \
.order_by('lable') \
# .annotate(value=Value(False, output_field=BooleanField())) \
products_dark_qs = pqs \
.values('glow_in_the_dark') \
.filter(glow_in_the_dark=True) \
.annotate(count=Count('glow_in_the_dark', filter=color_filter & sizes_filter)) \
.annotate(lable=Value('Светится в темноте', output_field=CharField())) \
.values('lable', 'count')
# .annotate(value=Value(effect_glow_in_the_dark, output_field=BooleanField())) \
# .values('lable', 'count', 'value')
products_uv_qs = pqs \
.values('glow_in_the_uv') \
.filter(glow_in_the_uv=True) \
.annotate(count=Count('glow_in_the_uv', filter=color_filter & sizes_filter)) \
.annotate(lable=Value('Светится в ультрафиолете', output_field=CharField())) \
.values('lable', 'count')
# .annotate(value=Value(effect_glow_in_the_uv, output_field=BooleanField())) \
# .values('lable', 'count', 'value')
colors = list(color_qs)
# for color in colors:
# if color['lable'] in color_list:
# color['value'] = True
filters = [
FiltersType(title='Размер', name='size', items=sizes_qs),
FiltersType(title='Цвет', name='color', items=colors),
FiltersType(title='Спецэффекты',
name='effects',
items=list(products_dark_qs) + list(products_uv_qs)),
]
if order == OrderEnum.Random.value: qs = qs.order_by('?')
if order == OrderEnum.OrderInc.value: qs = qs.order_by('my_order')
if order == OrderEnum.OrderDec.value: qs = qs.order_by('-my_order')
if order == OrderEnum.PriceInc.value:
qs = qs.order_by('price_ret', 'my_order')
if order == OrderEnum.PriceDec.value:
qs = qs.order_by('-price_ret', 'my_order')
if order == OrderEnum.SaleInc.value:
qs = qs.order_by('sale', 'my_order')
if order == OrderEnum.SaleDec.value:
qs = qs.order_by('-sale', 'my_order')
# if order == OrderEnum.HitInc.value: qs = qs.order_by('hit', 'my_order')
# if order == OrderEnum.HitDec.value: qs = qs.order_by('-hit', 'my_order')
return get_paginator(qs,
page,
page_size,
ProductCountableType,
filters=filters)
def get_dataset_search_results(self,
clean=True,
exclude=None,
tagged_with=None,
library=None,
sample=None,
dataset_type=None,
storages=None,
flowcell_id_and_lane=None,
sequencing_center=None,
sequencing_instrument=None,
sequencing_library_id=None,
library_type=None,
index_format=None,
min_num_read_groups=None,
is_production=None,
aligner=None,
read_group_match=None,
analysis_version=None,
from_last_updated_date=None,
to_last_updated_date=None):
"""
Performs the filter search with the given fields. The "clean" flag is used to indicate whether the cleaned data
should be used or not.
- This method gets called in the cleaning method - where the data is not yet guaranteed to be clean,
and also outside, where the data can be trusted to be clean
:param tags: list of tag strings separated by commas
:param library: Library id. Eg. A90652A
:param sample: Sample id. Eg. SA928
:param clean: Flag indicating whether or not the data has been cleaned yet
:return:
"""
if clean:
tagged_with = self.cleaned_data['tagged_with']
exclude = self.cleaned_data['exclude']
library = self.cleaned_data['library']
sample = self.cleaned_data['sample']
dataset_type = self.cleaned_data['dataset_type']
storages = self.cleaned_data['storages']
flowcell_id_and_lane = self.cleaned_data['flowcell_id_and_lane']
sequencing_center = self.cleaned_data['sequencing_center']
sequencing_instrument = self.cleaned_data['sequencing_instrument']
sequencing_library_id = self.cleaned_data['sequencing_library_id']
library_type = self.cleaned_data['library_type']
index_format = self.cleaned_data['index_format']
min_num_read_groups = self.cleaned_data['min_num_read_groups']
aligner = self.cleaned_data['aligner']
read_group_match = self.cleaned_data['read_group_match']
analysis_version = self.cleaned_data['analysis_version']
from_last_updated_date = self.cleaned_data[
'from_last_updated_date']
to_last_updated_date = self.cleaned_data['to_last_updated_date']
results = tantalus.models.SequenceDataset.objects.all()
# TODO: add prefetch related
if tagged_with:
tags_list = [tag.strip() for tag in tagged_with.split(",")]
exclude_list = [tag.strip() for tag in exclude.split(",")]
for tag in tags_list:
results = results.filter(tags__name=tag).exclude(
tags__name__in=exclude_list)
if sample:
results = results.filter(sample__sample_id__in=sample.split())
if dataset_type:
results = results.filter(dataset_type__in=dataset_type)
if storages:
results = results.filter(
file_resources__fileinstance__storage_id__in=storages)
if library:
results = results.filter(library__library_id__in=library.split())
if sequencing_center:
results = results.filter(
sequence_lanes__sequencing_centre=sequencing_center)
if sequencing_instrument:
results = results.filter(
sequence_lanes__sequencing_instrument=sequencing_instrument)
if sequencing_library_id:
results = results.filter(
library__library_id__in=sequencing_library_id.split())
if library_type:
results = results.filter(library__library_type=library_type)
if index_format:
results = results.filter(library__index_format=index_format)
if min_num_read_groups is not None:
results = results.annotate(sequence_lanes__lane_number=Count(
'sequence_lanes__lane_number')).filter(
sequence_lanes__lane_number__gte=min_num_read_groups)
if flowcell_id_and_lane:
query = Q()
for flowcell_lane in flowcell_id_and_lane.split():
if "_" in flowcell_lane:
# parse out flowcell ID and lane number, assumed to be separated by an underscore
flowcell, lane_number = flowcell_lane.split("_", 1)
q = Q(sequence_lanes__flowcell_id=flowcell,
sequence_lanes__lane_number=lane_number)
else:
q = Q(sequence_lanes__flowcell_id=flowcell_lane)
query = query | q
results = results.filter(query)
if is_production:
results = results.filter(is_production=is_production)
print("READ")
print(read_group_match)
if aligner:
results = results.filter(aligner__name__icontains=aligner)
if read_group_match is not None:
print(read_group_match)
if read_group_match:
print(read_group_match)
results = results.annotate(
num_read_group=Count('sequence_lanes', distinct=True),
total_num_read_group=Count(
'library__sequencinglane', distinct=True)).filter(
num_read_group=F('total_num_read_group'))
if analysis_version:
results = results.filter(
analysis__version__icontains=analysis_version)
if from_last_updated_date:
results = results.filter(last_updated__gte=from_last_updated_date)
if to_last_updated_date:
results = results.filter(last_updated__lte=to_last_updated_date)
results = results.distinct()
return list(results.values_list('id', flat=True))
def listing(request, title):
err = 0
bids_amount = 0
bidding = 0
lst_bid = 0
lst = 0
bid = 0
comments = 0
listed_by = 0
lst_author = Listing.objects.get(title=title).author
if Listing.objects.all():
lst_bid = Listing.objects.filter(title=title).values_list('ebid', flat=True)[0]
lst = Listing.objects.get(title=title)
if Bidding.objects.all():
bids_amount = Bidding.objects.filter(t__title=title).values_list("counting", flat=True)[0]
bidding = Bidding.objects.filter(t__title=title)
bid = bidding.values_list('bid', flat=True)[0]
if Comments.objects.all():
comments = Comments.objects.filter(t__title=title)
if Cart.objects.filter(listing2_id=lst.id):
listed_by = Cart.objects.get(listing2__title=title, author=lst_author)
form = CreateBid(request.POST)
form2 = CreateComment(request.POST)
if request.method == "POST" and 'placing' in request.POST:
if form.is_valid() and int(request.POST.get('bid')) > Listing.objects.get(title=title).ebid and int(request.POST.get('bid')) > signal_product_manage_latest_version_id(Bidding, Bidding.objects.get(t__title=title)).bid:
Listing.objects.filter(title=title).update(ebid=form.cleaned_data['bid'])
bidding.update(bid=form.cleaned_data['bid'], counting=F('counting')+1)
return HttpResponseRedirect(reverse('index'))
else:
err = "Bid is not valid"
if request.method == "POST" and 'commenting' in request.POST:
if form2.is_valid():
Comments.objects.create(user=request.user, t=lst, comment=form2.cleaned_data['comment'])
return HttpResponseRedirect(reverse('listing', args=[title]))
if request.method == "POST" and 'removing' in request.POST:
tof = Cart.objects.get(listing2__title=title, author=request.user.id).author
wl_lst = Cart.objects.get(listing2__title=title, author=tof.id).listing2
wl_lst.inlist = False
wl_lst.save()
return HttpResponseRedirect(reverse('watchlist'))
if request.method == "POST" and 'winning' in request.POST:
pas_lst = Listing.objects.get(title=title)
PassiveListing.objects.create(title=pas_lst.title, description=pas_lst.description, image=pas_lst.image, ebid=Bidding.objects.get(t__title=title).bid)
Listing.objects.filter(title=title).delete()
return HttpResponseRedirect(reverse('passive_listing', args=[title]))
if request.GET.get('wl') and request.user.is_authenticated:
tof = Cart.objects.get(listing2__title=title, author=request.user.id).author
wl_lst = Cart.objects.get(listing2__title=title, author=tof.id).listing2
wl_lst.inlist = True
wl_lst.save()
return render(request, "auctions/listing.html", {
"lst": lst,
"form": CreateBid(),
"form2": CreateComment(),
"err": err,
"bids_amount": bids_amount,
"bidding": bidding,
"lst_bid": lst_bid,
"bid": bid,
"comments": comments,
"lst_by": listed_by
})
def get_transform_queryset(self):
"""
Facility takes all of the raw data up to the num_registrations field. After that, the aggregated fields come from the facility's most recent
registration (the field is called sub_date in the processed model and ReceiptDate in the raw model).
Due to the nature of the foreign key relationships, I had to do the same calculations I did on Regisration as I did on Facility, calculating a
divider using the count of accidents on the accident table.
Again, problem fields on this model include all of the aggregated chemical quantity fields (anything with the _tot flag).
"""
qs = raw_models.tblFacility.objects.filter(
tbls1facilities__FacilityID=Subquery(
raw_models.tblS1Facilities.objects.filter(
EPAFacilityID=OuterRef('EPAFacilityID'), ).values(
'FacilityID').annotate(max_sub_date=Max('FacilityID')).
values('max_sub_date').order_by('-max_sub_date')[:1])
).select_related('FacilityCountyFIPS', ).annotate(
id=F('EPAFacilityID'),
facility_name=F('FacilityName'),
rmp_id=F('FacilityID'),
street_1=F('FacilityStr1'),
street_2=F('FacilityStr2'),
city=F('FacilityCity'),
state=F('FacilityState'),
zip_code=F('FacilityZipCode'),
zip_ext=F('Facility4DigitZipExt'),
county_fips=F('FacilityCountyFIPS'),
county_name=F('FacilityCountyFIPS__County_Name'),
num_registrations=F('CountOfFacilityID'),
latitude=F('tbls1facilities__FacilityLatDecDegs'),
longitude=F('tbls1facilities__FacilityLongDecDegs'),
sub_type=F('tbls1facilities__SubmissionType'),
sub_date=F('tbls1facilities__ReceiptDate'),
execsum_rmp_id=F('FacilityID'),
exec_sub_type=F('tbls1facilities__SubmissionType'),
exec_sub_date=F('tbls1facilities__ReceiptDate'),
deregistration_date=F('tbls1facilities__DeRegistrationDate'),
dereg_effect_date=F(
'tbls1facilities__DeRegistrationEffectiveDate'),
parent=F('tbls1facilities__ParentCompanyName'),
parent_2=F('tbls1facilities__Company2Name'),
operator_name=F('tbls1facilities__OperatorName'),
operator_city=F('tbls1facilities__OperatorCity'),
operator_state=F('tbls1facilities__OperatorStateFIPS'),
operator_zip=F('tbls1facilities__OperatorZipCode'),
province=F('tbls1facilities__ForeignStateProv'),
county=F('tbls1facilities__FacilityCountyFIPS'),
country=F('tbls1facilities__ForeignCountry'),
sub_reason=F('tbls1facilities__RMPSubmissionReasonCode'),
dereg_reason=F('tbls1facilities__DeregistrationReasonCode'),
dereg_other=F('tbls1facilities__DeregistrationReasonOtherText'),
registered=Case(When(dereg_reason__gt=0, then=0),
default=Value(1),
output_field=CopyFromBooleanField()),
num_fte=F('tbls1facilities__FTE'),
all_naics=F(
'tbls1facilities__tbls1processes__tbls1process_naics__NAICSCode'
),
num_accident_records=Count(
'tbls1facilities__tbls6accidenthistory', ),
num_accident_actual=Count(
'tbls1facilities__tbls6accidenthistory',
distinct=True,
),
num_accident_divider=Case(When(num_accident_actual=0, then=1),
default=F('num_accident_records') /
F('num_accident_actual')),
acc_flam_tot=Round(
Sum(
Case(When(
tbls1facilities__tbls6accidenthistory__tbls6accidentchemicals__ChemicalID__ChemType
='F',
then=
('tbls1facilities__tbls6accidenthistory__tbls6accidentchemicals__QuantityReleased'
)),
default=Value(0),
output_field=CopyFromIntegerField())) /
F('num_accident_divider'), ),
acc_toxic_tot=Round(
Sum(
Case(When(
tbls1facilities__tbls6accidenthistory__tbls6accidentchemicals__ChemicalID__ChemType
='T',
then=
('tbls1facilities__tbls6accidenthistory__tbls6accidentchemicals__QuantityReleased'
)),
default=Value(0),
output_field=CopyFromIntegerField())) /
F('num_accident_divider'), ),
acc_quantity_tot=F('acc_flam_tot') + F('acc_toxic_tot'),
num_deaths=Coalesce(
Round(
Sum(F(
'tbls1facilities__tbls6accidenthistory__DeathsWorkers')
+
F('tbls1facilities__tbls6accidenthistory__DeathsPublicResponders'
) +
F('tbls1facilities__tbls6accidenthistory__DeathsPublic'
),
default=Value(0),
output_field=CopyFromIntegerField()) /
F('num_accident_divider'), ),
Value(0),
),
num_injuries=Coalesce(
Round(
Sum(F(
'tbls1facilities__tbls6accidenthistory__InjuriesPublic'
) + F(
'tbls1facilities__tbls6accidenthistory__InjuriesWorkers'
) + F(
'tbls1facilities__tbls6accidenthistory__InjuriesPublicResponders'
),
default=Value(0),
output_field=CopyFromIntegerField()) /
F('num_accident_divider')),
Value(0),
),
num_evacuated=Coalesce(
Round(
Sum(F('tbls1facilities__tbls6accidenthistory__Evacuated'),
output_field=CopyFromIntegerField()) /
F('num_accident_divider')),
Value(0),
),
property_damage=Coalesce(
Round(
Sum(F(
'tbls1facilities__tbls6accidenthistory__OnsitePropertyDamage'
) + F(
'tbls1facilities__tbls6accidenthistory__OffsitePropertyDamage'
),
output_field=CopyFromIntegerField()) /
F('num_accident_divider')),
Value(0),
),
)
return qs
