def queryset_iterator(queryset: QuerySet, chunksize: int=5000) -> Iterator[Any]:
queryset = queryset.order_by('id')
while queryset.exists():
for row in queryset[:chunksize]:
msg_id = row.id
yield row
queryset = queryset.filter(id__gt=msg_id)
def dashboard(request):
documents = request.user.document_owner.get_queryset() | request.user.document_set.get_queryset()
documents = documents.distinct().order_by('-last_modified')[:5]
notifications = QuerySet(model=models.ChangeNotification)
for document in documents:
notifications |= document.changenotification_set.get_queryset()[:5]
return render(request, 'dashboard/dashboard.html', {
'documents': documents,
'notifications': notifications.order_by('-modify_time').all()
})
def add_reference_to_field_on_related_model(cls, qs: QuerySet, **kwargs):
cls.assert_is_proxy(qs)
modified_qs = qs.all()
if qs.order_by('related_model_name').distinct('related_model_name').count() == 1:
related_model_name = qs.first().related_model_name
modified_qs = modified_qs.annotate(**{
key: F('{}__{}'.format(related_model_name, value))
for key, value in kwargs.items()
})
return modified_qs
def compute_activity(self, user_activity_objects: QuerySet) -> None:
# Report data from the past week.
#
# This is a rough report of client activity because we inconsistently
# register activity from various clients; think of it as telling you
# approximately how many people from a group have used a particular
# client recently. For example, this might be useful to get a sense of
# how popular different versions of a desktop client are.
#
# Importantly, this does NOT tell you anything about the relative
# volumes of requests from clients.
threshold = timezone_now() - datetime.timedelta(days=7)
client_counts = user_activity_objects.filter(
last_visit__gt=threshold).values("client__name").annotate(
count=Count('client__name'))
total = 0
counts = []
for client_type in client_counts:
count = client_type["count"]
client = client_type["client__name"]
total += count
counts.append((count, client))
counts.sort()
for count in counts:
print("%25s %15d" % (count[1], count[0]))
print("Total:", total)
def unpublish_page(modeladmin: admin.ModelAdmin, request: HttpRequest, queryset: QuerySet):
pages_updated = queryset.update(published=False)
if pages_updated == 1:
message = '1 page was'
else:
message = '{:d} page were'.format(pages_updated)
modeladmin.message_user(request, '{:s} successfully marked as published.'.format(message))
def aggregate_by_interval(
events: QuerySet, team_id: int, entity: Entity, filter: Filter, breakdown: Optional[str] = None,
) -> Tuple[Dict[str, Any], QuerySet]:
interval = filter.interval if filter.interval else "day"
interval_annotation = get_interval_annotation(interval)
filtered_events = events.filter(
filter_events(team_id, filter, entity, interval_annotation=interval_annotation[interval])
)
values = [interval]
if breakdown:
if filter.breakdown_type == "cohort":
cohort_annotations = add_cohort_annotations(
team_id, filter.breakdown if filter.breakdown and isinstance(filter.breakdown, list) else []
)
values.extend(cohort_annotations.keys())
filtered_events = filtered_events.annotate(**cohort_annotations)
breakdown = "cohorts"
elif filter.breakdown_type == "person":
person_annotations = add_person_properties_annotations(
team_id, filter.breakdown if filter.breakdown and isinstance(filter.breakdown, str) else ""
)
filtered_events = filtered_events.annotate(**person_annotations)
values.append(breakdown)
else:
values.append(breakdown)
aggregates = filtered_events.annotate(**interval_annotation).values(*values).annotate(count=Count(1)).order_by()
if breakdown:
aggregates = aggregates.order_by("-count")
aggregates = process_math(aggregates, entity)
dates_filled = group_events_to_date(
date_from=filter.date_from,
date_to=filter.date_to,
aggregates=aggregates,
interval=interval,
breakdown=breakdown,
)
return dates_filled, filtered_events
class SecurityQuestionForm(forms.ModelForm):
question = forms.ModelChoiceField(
queryset=QuerySet(),
label=constants.SECURITY_QUESTIONS_QUESTION_LABEL,
empty_label=constants.SECURITY_QUESTIONS_EMPTY_LABEL,
help_text=constants.SECURITY_QUESTIONS_QUESTION_HELP_TEXT,
)
answer = forms.CharField(
widget=forms.Textarea,
label=constants.SECURITY_QUESTIONS_ANSWER_LABEL,
help_text=constants.SECURITY_QUESTIONS_ANSWER_HELP_TEXT,
error_messages=constants.SECURITY_QUESTIONS_ANSWER_VALIDATION_ERRORS)
class Meta:
model = models.UserSecurityQuestion
fields = ["question", "answer"]
def __init__(self, questions, language, *args, **kwargs):
super(SecurityQuestionForm, self).__init__(*args, **kwargs)
self.fields["question"].queryset = questions
# Always clear out answer fields.
self.initial["answer"] = ""
# Choice tuple can't be directly updated. Update only the widget choice
# text, value is used for validation and saving.
updated_choices = []
for choice in self.fields["question"].widget.choices:
if isinstance(choice[0], int):
text = questions.get(
id=choice[0]).questionlanguagetext_set.filter(
language_code=language).first()
# If there is no language specific text available, default to
# the original.
choice = (choice[0], text.question_text if text else choice[1])
updated_choices.append(tuple(choice))
# Replace choices with new set.
self.fields["question"].widget.choices = updated_choices
class PaginationMixIn(BasicAttrsMixIn):
model = None
qs = QuerySet()
pg = []
def dispatch(self, request, *args, **kwargs):
validated = self.validate_data()
if validated:
return validated
self.parse_basics()
self.qs = self.model.objects.all()
self.prepare_qs()
self.pg = Paginator(self.qs, self.per_page)
return self.prepare_response()
def validate_data(self):
return
def prepare_qs(self):
pass
def to_dict(self, obj):
return obj.to_dict()
def prepare_data(self):
response_data = []
for data in self.apply_page():
response_data.append(self.to_dict(data))
return response_data
def apply_page(self):
return self.pg.page(self.page).object_list
def prepare_response(self):
return JsonResponse({
'ok': True,
'data': self.prepare_data()
}, safe=False)
def generate_excel(students: QuerySet, milspecialties: QuerySet) -> Path:
"""Generate an Excel file with information about the students.
Returns:
A path to the generated Excel file.
"""
path = Path(f"/tmp/{uuid.uuid4()}.xlsx")
workbook = xlsxwriter.Workbook(path)
# define formats
header_format = workbook.add_format({"bold": True, "align": "center"})
align_center = workbook.add_format({"align": "center"})
russian_date = workbook.add_format({
"num_format": "dd.mm.yyyy",
"align": "center",
})
mean_grade = workbook.add_format({
"align": "center",
"num_format": "#,##0.00"
})
for milspecialty in milspecialties:
worksheet = workbook.add_worksheet(milspecialty.code)
_fill_header(worksheet=worksheet, cell_format=header_format)
for row, student in enumerate(
students.filter(milspecialty=milspecialty),
start=1, # Skip header.
):
cells = _make_student_row(
student=student,
align_center=align_center,
russian_date=russian_date,
mean_grade=mean_grade,
)
for col, (data, cell_format) in enumerate(cells):
worksheet.write(row, col, data, cell_format)
workbook.close()
return path
def get_buttons(
subscriber: Subscriber = None,
prayer_times: QuerySet = None,
prayer_at_user_pk: int = None) -> List[List[Tuple[str, str]]]:
"""Возвращает кнопки со статусом намазов."""
# TODO если пользователь получил 2 времени намаза в разных городах в один день, вероятно будет ошибка
text_for_read_prayer = "set_prayer_status_to_unread({})"
text_for_unread_prayer = "set_prayer_status_to_read({})"
if prayer_at_user_pk:
day = PrayerAtUser.objects.get(pk=prayer_at_user_pk).prayer.day
subscriber = PrayerAtUser.objects.get(pk=prayer_at_user_pk).subscriber
prayers = PrayerAtUser.objects.filter(subscriber=subscriber, prayer__day=day).order_by("pk")
else:
prayers = generate_prayer_at_user(subscriber.tg_chat_id, prayer_times.order_by("pk"))
buttons = []
for x in prayers:
handle_text = text_for_read_prayer.format(x.pk) if x.is_read else text_for_unread_prayer.format(x.pk)
buttons.append(
(get_emoji_for_button(x), handle_text),
)
return [buttons]
def _accept_risks(accepted_risks: List[AcceptedRisk], base_findings: QuerySet,
owner: User):
accepted = []
for risk in accepted_risks:
findings = base_findings.filter(cve=risk.cve)
if findings.exists():
# TODO we could use risk.cve to name the risk_acceptance, but would need to check for existing risk_acceptances in that case
# so for now we add some timestamp based suffix
name = risk.cve + ' via api at ' + timezone.now().strftime(
'%b %d, %Y, %H:%M:%S')
acceptance = Risk_Acceptance.objects.create(
owner=owner,
name=name[:100],
decision=Risk_Acceptance.TREATMENT_ACCEPT,
decision_details=risk.justification,
accepted_by=risk.accepted_by[:200])
acceptance.accepted_findings.set(findings)
findings.update(risk_accepted=True)
acceptance.save()
accepted.append(acceptance)
return accepted
def area_tree_helper(filtered_area: List[TreeItem],
records: QuerySet,
areas: Optional[List[TreeItem]] = None):
""" Recursively build a list of areas. The resulting list is meant to be iterated over in a view """
if areas is None:
# Get the root areas
areas = [area for area in filtered_area if area.is_root]
else:
yield 'in'
for area in areas:
yield area
children = [child for child in area.children if child in filtered_area]
if len(children):
area.leaf = False
for x in area_tree_helper(filtered_area, records, children):
yield x
else:
area.occupants = records.filter(area__id=area.id)
area.leaf = True
yield 'out'
def extract_view_queryset(query_set: QuerySet,
viewed_fields: Union[str, Iterable] = None,
select_all_field: bool = True,
**kwagrs) -> QuerySet:
"""
Extract only specified field from dataset
Указывает оставить в результррующем наборе данных только указанные поля
:param query_set: QuerySet for data extraction
:type viewed_fields: list of field for data extraction
:rtype: QuerySet that contains only specified fields
"""
if not select_all_field and viewed_fields is not None and \
viewed_fields and query_set and (isinstance(query_set, QuerySet) or hasattr(query_set, 'values')):
if isinstance(viewed_fields, str):
viewed_fields = viewed_fields.split(',')
view_field_desc = [
get_from_container(field_name, [('field_name', None)], True)[0]
for field_name in viewed_fields
]
query_set = query_set.values(*view_field_desc)
return query_set
def filter_by_keyword(queryset: QuerySet, keyword: Optional[str]) -> QuerySet:
if keyword is None:
return queryset
keyword = keyword.strip()
keyword_space_removed = keyword.replace(' ', '')
if len(keyword) == 0:
return queryset
return queryset.annotate(
title_space_removed=Replace('title', Value(' '), Value('')),
title_en_space_removed=Replace(
'title_en', Value(' '), Value(''))).filter(
Q(title_space_removed__icontains=keyword_space_removed)
| Q(title_en_space_removed__icontains=keyword_space_removed)
| Q(old_code__istartswith=keyword)
| Q(department__name__iexact=keyword)
| Q(department__name_en__iexact=keyword)
| Q(professors__professor_name__icontains=keyword)
| Q(professors__professor_name_en__icontains=keyword), )
def extract_recap_documents(
docs: QuerySet,
skip_ocr: bool = False,
order_by: Optional[str] = None,
queue: Optional[str] = None,
) -> None:
"""Loop over RECAPDocuments and extract their contents. Use OCR if requested.
:param docs: A queryset containing the RECAPDocuments to be processed.
:type docs: Django Queryset
:param skip_ocr: Whether OCR should be completed (False) or whether items
should simply be updated to have status OCR_NEEDED.
:type skip_ocr: Bool
:param order_by: An optimization parameter. You may opt to order the
processing by 'small-first' or 'big-first'.
:type order_by: str
:param queue: The celery queue to send the content to.
:type queue: str
"""
docs = docs.exclude(filepath_local="")
if skip_ocr:
# Focus on the items that we don't know if they need OCR.
docs = docs.filter(ocr_status=None)
else:
# We're doing OCR. Only work with those items that require it.
docs = docs.filter(ocr_status=RECAPDocument.OCR_NEEDED)
if order_by is not None:
if order_by == "small-first":
docs = docs.order_by("page_count")
elif order_by == "big-first":
docs = docs.order_by("-page_count")
count = docs.count()
throttle = CeleryThrottle(queue_name=queue)
for i, pk in enumerate(docs.values_list("pk", flat=True)):
throttle.maybe_wait()
extract_recap_pdf.apply_async((pk, skip_ocr), priority=5, queue=queue)
if i % 1000 == 0:
msg = f"Sent {i + 1}/{count} tasks to celery so far."
logger.info(msg)
sys.stdout.write(f"\r{msg}")
sys.stdout.flush()
def get_filter_obj(request, model_class):
"""
filter a table's row
"""
filter_dict = {}
q1 = Q()
q1.connector = "AND"
model_objs = QuerySet()
try:
for k, v in request.GET.items():
if k in ["_p", "_s", "_o", "_f"]:
continue
if v:
filter_dict[k] = v
q1.children.append((k, v))
model_objs = model_class.objects.filter(q1)
except FieldError:
pass
return model_objs, filter_dict
def filter_in_string(queryset: QuerySet, field_name: str, values: list):
"""
Returns a in-icontains mixed lookup with 'or' between values for a CharField.
Parameters
----------
queryset : :class:`~django.db.models.QuerySet`
The filtered queryset
field_name : str
The name of the field the queryset is being filtered by
values : str
The values to filter by
"""
if not values:
return queryset
# We check both content and length in order to return only exact matches
icontains = f"{field_name}__icontains"
condition = reduce(operator.or_,
[Q(**{icontains: value}) for value in values])
return queryset.filter(condition).all()
def __init__(self, blast_type: str, name: str, sequence: str,
gene_codes: QuerySet) -> None:
"""
:param blast_type: new
:param name: name given to query sequence
:param sequence: sequence to blast given by user
:param gene_codes: queryset of Genes to blast against
"""
super(BLASTNew, self).__init__(blast_type, name, sequence, gene_codes)
self.name = name
self.sequence = sequence
log.debug("Will do blastnew of %s", str(gene_codes))
if gene_codes:
self.genes = gene_codes.order_by(
"gene_code").values_list("gene_code", flat=True)
else:
self.genes = []
self.path = os.path.join(self.cwd, 'db', '_'.join(self.genes) + '_seqs.fas.n*')
self.db = os.path.join(self.cwd, 'db', '_'.join(self.genes) + '_seqs.fas')
class ArticlePushApi(BasicListViewSet):
"""文章批量推送接口"""
queryset = QuerySet()
serializer_class = DoNothingSerializer
permission_name = permissions.PER_SYSTEM_SEO
def post(self, request, *args, **kwargs):
"""批量创建资源数据
Args:
request(Request): http request
*args(list): 可变参数
**kwargs(dict): 可变关键字参数
Returns:
response(Response): 响应数据
"""
data = request.data.get("data", list())
code, res = baidu_api_put(params.SeoSite, params.SeoSiteToken,
data.split('\n'))
return self.set_response(HTTP_SUCCESS, res, status=HTTP_201_CREATED)
def _sort(self, query_set: QuerySet, sorting_option: SortingOption) -> QuerySet:
sorting_option_value = sorting_option["keyToSort"]
if sorting_option_value == "name":
query_set = self._sort_by_default_condition(query_set, sorting_option)
elif sorting_option_value == "countries":
query_set = self._sort_by_default_condition(query_set, self._get_ngo_address_condition(sorting_option, "country__name"))
elif sorting_option_value == "cities":
query_set = self._sort_by_default_condition(query_set, self._get_ngo_address_condition(sorting_option, "city"))
elif sorting_option_value == "trustworthiness":
query_set = self._sort_by_tw_value(sorting_option, query_set)
elif sorting_option_value == 'reviewNumber':
query_set = self._sort_by_ngo_number_of_reviews(sorting_option, query_set)
else:
query_set = self._sort_by_default_condition(query_set, sorting_option)
# always sort if trustworthiness filter is applied
if self._filter_config.trustworthiness_lower_bound is not None and sorting_option_value != "trustworthiness":
query_set = query_set.order_by('-tw_score__total_tw_score', 'name')
return query_set
class AuthPublicKeyView(BasicInfoViewSet):
"""RSA的public-key 接口"""
queryset = QuerySet()
serializer_class = DoNothingSerializer
authentication_enable = False
def get(self, request, *args, **kwargs):
"""获取资源数据
Args:
request(Request): http request
*args(list): 可变参数
**kwargs(dict): 可变关键字参数
Returns:
response(Response): 响应数据
"""
public_key, private_key = encryption.rsa_generate()
data = {'public_key': public_key}
request.session[params.RSA_SESSION_PRIVATE_KEY] = private_key
return Response(data=data, content_type=params.JSON_CONTENT_TYPE)
def filter_users(request, users_obj: QuerySet) -> QuerySet:
customer = request.GET.get('customer')
if customer == 'Ingen':
users_obj = users_obj.filter(customer=None)
elif customer == 'Satt':
users_obj = users_obj.exclude(customer=None)
elif customer is not None:
users_obj = users_obj.filter(customer__name=customer)
has_employee = request.GET.get('employee')
if has_employee == 'Ja':
users_obj = users_obj.exclude(employee=None)
elif has_employee == 'Nei':
users_obj = users_obj.filter(employee=None).exclude(ad_object__employeeID=None)
elif has_employee == 'Ukjent':
users_obj = users_obj.filter(employee=None, ad_object__employeeID=None)
has_student = request.GET.get('student')
if has_student == 'Ja':
users_obj = users_obj.exclude(student=None)
elif has_student == 'Nei':
users_obj = users_obj.filter(student=None)
return users_obj
def connection_from_queryset_slice(
qs: QuerySet,
args: ConnectionArguments = None,
connection_type: Any = Connection,
edge_type: Any = Edge,
pageinfo_type: Any = PageInfo,
) -> Connection:
"""Create a connection object from a QuerySet."""
args = args or {}
before = args.get("before")
after = args.get("after")
first = args.get("first")
last = args.get("last")
_validate_connection_args(args)
requested_count = first or last
end_margin = requested_count + 1 if requested_count else None
cursor = after or before
try:
cursor = from_global_cursor(cursor) if cursor else None
except ValueError:
raise GraphQLError("Received cursor is invalid.")
sort_by = args.get("sort_by", {})
sorting_fields = _get_sorting_fields(sort_by, qs)
sorting_direction = _get_sorting_direction(sort_by, last)
if cursor and len(cursor) != len(sorting_fields):
raise GraphQLError("Received cursor is invalid.")
filter_kwargs = (_prepare_filter(cursor, sorting_fields, sorting_direction)
if cursor else Q())
qs = qs.filter(filter_kwargs)
qs = qs[:end_margin]
edges, page_info = _get_edges_for_connection(edge_type, qs, args,
sorting_fields)
return connection_type(
edges=edges,
page_info=pageinfo_type(**page_info),
)
def _apply_basic_filters(sections: QuerySet, course: CourseFilter):
""" Applies basic filters from a CourseFilter to a section QuerySet """
# Handle honors filter
if course.honors is not BasicFilter.NO_PREFERENCE:
if course.honors is BasicFilter.EXCLUDE:
sections = sections.filter(honors=False)
elif course.honors is BasicFilter.ONLY:
sections = sections.filter(honors=True)
if not sections:
raise NoSchedulesError(_BASIC_FILTERS_TOO_RESTRICTIVE.format(
subject=course.subject,
course_num=course.course_num
))
# Handle remote filter
if course.remote is not BasicFilter.NO_PREFERENCE:
if course.remote is BasicFilter.EXCLUDE:
# F2F with remote option should be included regardless of web attribute,
# but F2F with remote option has web=True
sections = (sections.filter(remote=False)
| sections.filter(instructional_method=Section.F2F_REMOTE_OPTION))
elif course.remote is BasicFilter.ONLY:
sections = sections.filter(remote=True)
if not sections:
raise NoSchedulesError(_BASIC_FILTERS_TOO_RESTRICTIVE.format(
subject=course.subject,
course_num=course.course_num
))
# Handle async filter
if course.asynchronous is not BasicFilter.NO_PREFERENCE:
if course.asynchronous is BasicFilter.EXCLUDE:
sections = sections.filter(asynchronous=False)
elif course.asynchronous is BasicFilter.ONLY:
sections = sections.filter(asynchronous=True)
if not sections:
raise NoSchedulesError(_BASIC_FILTERS_TOO_RESTRICTIVE.format(
subject=course.subject,
course_num=course.course_num
))
return sections
def test_validate_service_schedule(service_schedules: QuerySet):
"""Should validate a service schedule."""
schedule = service_schedules.filter(service__is_base_schedule=True).first()
service = schedule.service
schedule.start_time = time(4)
schedule.end_time = time(3)
with pytest.raises(ValidationError) as error:
validate_service_schedule(schedule)
assert "interval is incorrect" in str(error)
schedule.start_time = time(3)
schedule.end_time = time(23)
with pytest.raises(ValidationError) as error:
validate_service_schedule(schedule)
assert "not overlap" in str(error)
schedule.start_time = None
schedule.end_time = time(4)
with pytest.raises(ValidationError) as error:
validate_service_schedule(schedule)
assert "is not set" in str(error)
schedule.start_time = time(3)
schedule.end_time = time(4)
schedule.service = None
with pytest.raises(ValidationError) as error:
validate_service_schedule(schedule)
assert "owner is empty" in str(error)
schedule.service = service
with pytest.raises(ValidationError) as error:
validate_service_schedule(schedule)
assert "Not allowed to create schedules" in str(error)
schedule.service.is_base_schedule = False
schedule.service.save()
validate_service_schedule(schedule)
def filter_array(queryset: QuerySet, field_name: str, value: list):
"""
Returns an exact lookup for a PostgreSQL ArrayField_.
.. _ArrayField: https://docs.djangoproject.com/en/2.2/ref/contrib/postgres/fields/#arrayfield
Parameters
----------
queryset : :class:`~django.db.models.QuerySet`
The filtered queryset.
field_name : str
The name of the field the queryset is being filtered by.
value : list
The values to filter by.
"""
if not value:
return queryset
# We check both content and length in order to return only exact matches
contains = f"{field_name}__contains"
length = f"{field_name}__len"
return queryset.filter(**{contains: value, length: len(value)}).all()
def sanitize_queryset(self, queryset: models.QuerySet) -> models.QuerySet:
if queryset.ordered:
raise ValueError(
"You can't use %s on a QuerySet with an ordering." %
self.__class__.__name__)
if queryset.query.low_mark or queryset.query.high_mark:
raise ValueError("You can't use %s on a sliced QuerySet." %
self.__class__.__name__)
pk = queryset.model._meta.pk
allowed_field = isinstance(pk, self.ALLOWED_PK_FIELD_CLASSES) or (
isinstance(pk, models.ForeignKey) and isinstance(
pk.foreign_related_fields[0], self.ALLOWED_PK_FIELD_CLASSES))
if not allowed_field:
# If your custom field class should be allowed, just add it to
# ALLOWED_PK_FIELD_CLASSES
raise ValueError(
"You can't use %s on a model with a non-integer primary key." %
self.__class__.__name__)
return queryset.order_by("pk")
def sort_queryset(queryset: QuerySet, sort_by: SortInputObjectType,
sort_enum: graphene.Enum) -> QuerySet:
"""Sort queryset according to given parameters.
Keyword Arguments:
queryset - queryset to be filtered
sort_by - dictionary with sorting field and direction
"""
if sort_by is None or not sort_by.field:
return queryset
direction = sort_by.direction
sorting_field = sort_by.field
custom_sort_by = getattr(sort_enum, f"sort_by_{sorting_field}", None)
if custom_sort_by:
queryset = custom_sort_by(queryset, sort_by)
else:
queryset = queryset.order_by(f"{direction}{sorting_field}")
return queryset
def filter(self, user, queryset: QuerySet, perm: int) -> QuerySet:
"""Filter a QuerySet of CremeEntities by the credentials related to this role.
Beware, the model class must be a child class of CremeEntity,
but cannot be CremeEntity itself.
@param user: A <django.contrib.auth.get_user_model()> instance (eg: CremeUser) ;
should be related to the UserRole instance.
@param queryset: A Queryset on a child class of CremeEntity.
@param perm: A value in (EntityCredentials.VIEW, EntityCredentials.CHANGE etc...).
@return: A new (filtered) queryset on the same model.
"""
model = queryset.model
assert issubclass(model, CremeEntity)
assert model is not CremeEntity
if self.is_app_allowed_or_administrable(model._meta.app_label):
queryset = SetCredentials.filter(self._get_setcredentials(), user,
queryset, perm)
else:
queryset = queryset.none()
return queryset
def ANNOTATE_BREW_NUMBER(qs: QuerySet,
annotate_name: str = 'brew_number') -> QuerySet:
"""
Annotates QuerySet `qs` with name `annotate_name` (defaults to "brew_number")
:param qs: BaseBatch QuerySet to annotate
:type qs: QuerySet
:param annotate_name: Name to provide for the annotation. Defaults to `brew_number`
:type annotate_name: str
:return: Annotated QuerySet
:rtype: QuerySet
"""
""" Depreciated by below
annotate_dict = {annotate_name: Cast(Case(
When(__tbatch=1, then=Concat('year', Value('000'), 'batch')),
When(__tbatch=2, then=Concat('year', Value('00'), 'batch')),
When(__tbatch=3, then=Concat('year', Value('0'), 'batch')),
default=Concat('year', 'batch')), output_field=DecimalField(max_digits=6, decimal_places=0)
)}
# Take the 'batch' field on BaseBatch, cast it to a CharField `__tbatch`. The annotate_dict will
# determine how many 0s to insert based on the length of `__tbatch`, and concat that with `year` field
return qs.annotate(__tbatch=Length(Cast('batch', CharField(max_length=4)))).annotate(**annotate_dict)
"""
# The use of `annotate_name` allows the field name to be passed to the queryset. Otherwise, the name would be constant
annotate_dict = {
annotate_name:
Cast(Concat(Right(
Cast(ExtractYear('date'), output_field=CharField(max_length=4)),
2),
LPad(Cast('batch', output_field=CharField(max_length=4)),
4,
Value('0'),
output_field=CharField(max_length=4)),
output_field=DecimalField(max_digits=6, decimal_places=0)),
output_field=DecimalField(max_digits=6, decimal_places=0))
}
return qs.annotate(**annotate_dict)
def _check_auction_post_request_cash_requirements(auction: Auction,
user_query: QuerySet,
bid_value: int) -> Tuple:
"""
Check if auction post request requirements are fulfilled, but focus only on cash requirements.
Requirements:
- user must have enough cash for bid
- bid must be greater than last bid value and auction starting price
:param auction: aimed auction
:param user_query: query of users with special uuid
:param bid_value: value of new bid (try)
:return: response status and information about occurred error
"""
data, status = {}, 0
user = user_query.first()
# check user cash in wallet
if user.cash < bid_value:
data["summary"] = "User has not enough cash for this bet."
data["userCash"] = user.cash
data["bidValue"] = bid_value
data["errorMessage"] = "User has less cash than minimal bid value."
return data, 400
last_bid = auction.last_bid_value
# check bid value correctness
if (last_bid is not None
and bid_value <= last_bid) or bid_value <= auction.starting_price:
data["summary"] = "Wrong bid value."
data["auctionStartingPrice"] = auction.starting_price
data["auctionLastBidValue"] = auction.last_bid_value
data["bidValue"] = bid_value
data[
"errorMessage"] = "Bid must be greater than starting price and last bid value."
return data, 400
return data, status
def get_provider_payment_info(
list_of_settlement_payments: List[ForcedPaymentEvent],
list_of_transactions: List[BatchTransferEvent],
settlement_payment_claims: QuerySet,
subtask_results_accepted_list: List[SubtaskResultsAccepted],
) -> Tuple[int, int]:
assert isinstance(settlement_payment_claims, QuerySet)
assert isinstance(list_of_settlement_payments, list)
assert isinstance(list_of_transactions, list)
assert isinstance(subtask_results_accepted_list, list)
settlement_payment_total_price = sum_payments(list_of_settlement_payments)
payments_price = sum_payments(list_of_transactions)
satisfied_payments_price = settlement_payment_claims.aggregate(
sum_of_already_satisfied_claims=Coalesce(Sum(
'amount'), 0))['sum_of_already_satisfied_claims']
subtasks_price = sum_subtask_price(subtask_results_accepted_list)
amount_paid = payments_price + satisfied_payments_price + settlement_payment_total_price
amount_pending = subtasks_price - amount_paid
return (amount_paid, amount_pending)
def test_closed_periods_restriction_apply(
professional_closed_periods: QuerySet):
"""Should apply the closed periods restriction."""
professional = professional_closed_periods.first().professional
restriction = ClosedPeriodsRestriction()
start = arrow.utcnow().replace(
hour=0,
minute=0,
second=0,
microsecond=0,
)
request = Request()
request.start_datetime = start
request.end_datetime = start.shift(days=20)
slot1 = AvailabilitySlot()
slot1.professional = professional
slot1.start_datetime = start.datetime
slot1.end_datetime = start.shift(days=1).datetime
slot2 = AvailabilitySlot()
slot2.professional = professional
slot2.start_datetime = start.shift(days=6).datetime
slot2.end_datetime = start.shift(days=7).datetime
with pytest.raises(AvailabilityValueError) as error:
restriction.apply()
assert "request is not set." in str(error)
restriction.set_request(request)
with pytest.raises(AvailabilityValueError) as error:
restriction.apply()
assert "slots are not set." in str(error)
restriction.set_slots([slot1, slot2])
result = restriction.apply()
assert result == [slot1]
def _filter_request(self, request: request.Request, queryset: QuerySet,
team: Team) -> QuerySet:
if request.GET.get("id"):
ids = request.GET["id"].split(",")
queryset = queryset.filter(id__in=ids)
if request.GET.get("uuid"):
uuids = request.GET["uuid"].split(",")
queryset = queryset.filter(uuid__in=uuids)
if request.GET.get("search"):
parts = request.GET["search"].split(" ")
contains = []
for part in parts:
if ":" in part:
queryset = queryset.filter(
properties__has_key=part.split(":")[1])
else:
contains.append(part)
queryset = queryset.filter(
Q(properties__icontains=" ".join(contains))
| Q(persondistinctid__distinct_id__icontains=" ".join(
contains))).distinct("id")
if request.GET.get("cohort"):
queryset = queryset.filter(cohort__id=request.GET["cohort"])
if request.GET.get("properties"):
queryset = queryset.filter(
Filter(data={
"properties": json.loads(request.GET["properties"])
}).properties_to_Q(team_id=team.pk))
queryset_category_pass = None
category = request.query_params.get("category")
if category == "identified":
queryset_category_pass = queryset.filter
elif category == "anonymous":
queryset_category_pass = queryset.exclude
if queryset_category_pass is not None:
queryset = queryset_category_pass(is_identified=True)
queryset = queryset.prefetch_related(
Prefetch("persondistinctid_set", to_attr="distinct_ids_cache"))
return queryset
def _filter_request(self, request: request.Request, queryset: QuerySet) -> QuerySet:
filters = request.GET.dict()
for key in filters:
if key == "saved":
if str_to_bool(request.GET["saved"]):
queryset = queryset.filter(Q(saved=True) | Q(dashboard__isnull=False))
else:
queryset = queryset.filter(Q(saved=False))
elif key == "user":
queryset = queryset.filter(created_by=request.user)
elif key == "favorited":
queryset = queryset.filter(Q(favorited=True))
elif key == "date_from":
queryset = queryset.filter(last_modified_at__gt=relative_date_parse(request.GET["date_from"]))
elif key == "date_to":
queryset = queryset.filter(last_modified_at__lt=relative_date_parse(request.GET["date_to"]))
elif key == INSIGHT:
queryset = queryset.filter(filters__insight=request.GET[INSIGHT])
elif key == "search":
queryset = queryset.filter(
Q(name__icontains=request.GET["search"]) | Q(derived_name__icontains=request.GET["search"])
)
return queryset
def stickiness(
filtered_events: QuerySet, entity: Entity, filter: Filter, team_id: int
) -> Dict[str, Any]:
if not filter.date_to or not filter.date_from:
raise ValueError("_stickiness needs date_to and date_from set")
range_days = (filter.date_to - filter.date_from).days + 2
events = (
filtered_events.filter(filter_events(team_id, filter, entity))
.values("person_id")
.annotate(day_count=Count(functions.TruncDay("timestamp"), distinct=True))
.filter(day_count__lte=range_days)
)
events_sql, events_sql_params = events.query.sql_with_params()
aggregated_query = "select count(v.person_id), v.day_count from ({}) as v group by v.day_count".format(
events_sql
)
aggregated_counts = execute_custom_sql(aggregated_query, events_sql_params)
response: Dict[int, int] = {}
for result in aggregated_counts:
response[result[1]] = result[0]
labels = []
data = []
for day in range(1, range_days):
label = "{} day{}".format(day, "s" if day > 1 else "")
labels.append(label)
data.append(response[day] if day in response else 0)
return {
"labels": labels,
"days": [day for day in range(1, range_days)],
"data": data,
"count": sum(data),
}
def get_max(qs: QuerySet) -> int:
return qs.aggregate(models.Max('number'))['number__max']
def filter_queryset(self, qs: QuerySet) -> QuerySet:
return qs.filter(
min_years_experience__gte=self.min_years_experience,
min_years_experience__lte=self.max_years_experience,
education_level=self.education_level
)
def filter_queryset(self, qs: QuerySet) -> QuerySet:
return qs.filter(
min_years_experience__gte=self.min_years_experience,
education_level__in=self.get_valid_education_levels()
)
def gather_hot_conversations(user_profile: UserProfile, stream_messages: QuerySet) -> List[Dict[str, Any]]:
# Gather stream conversations of 2 types:
# 1. long conversations
# 2. conversations where many different people participated
#
# Returns a list of dictionaries containing the templating
# information for each hot conversation.
conversation_length = defaultdict(int) # type: Dict[Tuple[int, Text], int]
conversation_diversity = defaultdict(set) # type: Dict[Tuple[int, Text], Set[Text]]
for user_message in stream_messages:
if not user_message.message.sent_by_human():
# Don't include automated messages in the count.
continue
key = (user_message.message.recipient.type_id,
user_message.message.subject)
conversation_diversity[key].add(
user_message.message.sender.full_name)
conversation_length[key] += 1
diversity_list = list(conversation_diversity.items())
diversity_list.sort(key=lambda entry: len(entry[1]), reverse=True)
length_list = list(conversation_length.items())
length_list.sort(key=lambda entry: entry[1], reverse=True)
# Get up to the 4 best conversations from the diversity list
# and length list, filtering out overlapping conversations.
hot_conversations = [elt[0] for elt in diversity_list[:2]]
for candidate, _ in length_list:
if candidate not in hot_conversations:
hot_conversations.append(candidate)
if len(hot_conversations) >= 4:
break
# There was so much overlap between the diversity and length lists that we
# still have < 4 conversations. Try to use remaining diversity items to pad
# out the hot conversations.
num_convos = len(hot_conversations)
if num_convos < 4:
hot_conversations.extend([elt[0] for elt in diversity_list[num_convos:4]])
hot_conversation_render_payloads = []
for h in hot_conversations:
stream_id, subject = h
users = list(conversation_diversity[h])
count = conversation_length[h]
# We'll display up to 2 messages from the conversation.
first_few_messages = [user_message.message for user_message in
stream_messages.filter(
message__recipient__type_id=stream_id,
message__subject=subject)[:2]]
teaser_data = {"participants": users,
"count": count - len(first_few_messages),
"first_few_messages": build_message_list(
user_profile, first_few_messages)}
hot_conversation_render_payloads.append(teaser_data)
return hot_conversation_render_payloads
def assert_is_proxy(qs: QuerySet):
"""Is it proxy for only one related model?"""
count = qs.order_by('related_model_name').distinct('related_model_name').count()
assert count <= 1, 'You should split your model pages by proxy, before register it.'
