def create_from_questions(cls,
user: User,
questions: QuerySet,
max_n=20,
randomise_order=True,
include_answered=False,
save=True) -> "QuizSession":
cls.check_no_current_session(user=user)
if include_answered is False:
questions = questions.exclude(records__in=Record.objects.filter(
user=user))
if randomise_order is True:
questions = questions.order_by("?")
max_n = max_n if max_n <= questions.count() else questions.count()
selected_qs = questions[0:max_n + 1]
if selected_qs.count() < 1:
raise RuntimeError(
"Cannot create Quiz Session without any questions!")
session = cls(user=user)
session.save()
session.questions.set(selected_qs)
session.save()
return session
def summarize_invoice_statistics(modeladmin, request: HttpRequest,
qs: QuerySet):
invoice_states = list([state for state, name in INVOICE_STATE])
invoiced_total = {'amount': Decimal('0.00'), 'count': 0}
unpaid_total = {'amount': Decimal('0.00'), 'count': 0}
lines = [
'<pre>',
_('({total_count} invoices)').format(total_count=qs.count()),
]
for state in invoice_states:
state_name = choices_label(INVOICE_STATE, state)
qs2 = qs.filter(state=state)
invoiced = qs2.filter(state=state).aggregate(amount=Coalesce(
Sum('amount'), 0),
count=Count('*'))
lines.append('{state_name} | x{count} | {amount:.2f}'.format(
label=_('invoiced'), state_name=state_name, **invoiced))
for k in ('amount', 'count'):
invoiced_total[k] += invoiced[k]
lines.append(
_('Total') + ' {label} | x{count} | {amount:.2f}'.format(
label=_('amount'), **invoiced_total))
lines.append('</pre>')
lines = align_lines(lines, '|')
messages.add_message(request,
INFO,
format_html('<br>'.join(lines)),
extra_tags='safe')
def check_amount_of_members_ow4_g_suite(
g_suite_members: List[Dict[str, str]], ow4_users: QuerySet, quiet: bool = False
) -> bool:
"""
Compare the number of users in an OW4 group to a G Suite group.
:param g_suite_members: The members of a G Suite group.
:param ow4_users: The members of an OW4 group.
:param quiet: Whether to print debug log lines or not.
:return: Whether or not there are exactly the same amount of users in the two groups.
"""
g_suite_count = len(g_suite_members)
ow4_count = ow4_users.count()
if ow4_count == g_suite_count:
return True
elif g_suite_count > ow4_count:
if not quiet:
logger.debug(
f"There are more users in G Suite ({g_suite_count}) than on OW4 ({ow4_count}). "
"Need to trim inactive users from G Suite."
)
else:
if not quiet:
logger.debug(
f"There are more users on OW4 ({ow4_count}) than in G Suite ({g_suite_count}). "
"Need to update G Suite with new members."
)
return False
def _hourly_count(subjects_queryset: QuerySet):
hours = [str(datetime.time(hour=hour)) for hour in range(0, 24)]
men_count = []
women_count = []
if subjects_queryset.count():
for ind in range(len(hours) - 1):
hour_lower = hours[ind]
hour_upper = hours[ind + 1]
subjects = subjects_queryset.filter(
faces__created_at__time__gte=hour_lower,
faces__created_at__time__lt=hour_upper)
men_count.append(
len(
set([
subject.id for subject in subjects
if subject.pred_sex == Subject.SEX_MAN
])))
women_count.append(
len(
set([
subject.id for subject in subjects
if subject.pred_sex == Subject.SEX_WOMAN
])))
return {
'hours': hours,
'men_count': men_count,
'women_count': women_count,
}
def deactivate(modeladmin: admin.ModelAdmin, request: WSGIRequest,
queryset: QuerySet):
queryset.update(active=False)
model = queryset.model
model.objects.disconnect(model.signal, model.receiver, model)
modeladmin.message_user(request,
_('Total deactivated: %s' % queryset.count()))
def paginate_queryset(
self,
queryset: QuerySet,
request: Request,
view: APIView = None,
) -> OptionalList:
serializer_class = self.get_request_serializer_class()
serializer = serializer_class(data=request.query_params,
max_per_page=self.max_page_size)
serializer.is_valid(raise_exception=True)
self.per_page = serializer.validated_data.get(
self.page_size_query_param, self.default_page_size)
after_uuid = serializer.validated_data.get(self.after_query_param)
before_uuid = serializer.validated_data.get(self.before_query_param)
order = get_order(self.default_order, serializer.validated_data.keys())
self.cursor_obj, self.order = get_cursor(queryset, after_uuid,
before_uuid, order)
lookup = self.get_lookup()
if lookup:
queryset = queryset.filter(**lookup)
order_sign = '-' if self.order == 'before' else ''
order_keyword = f'{order_sign}{self.order_by_field}'
queryset = queryset.order_by(order_keyword)
base_url = request.build_absolute_uri()
self.base_url = replace_query_param(base_url,
self.page_size_query_param,
self.per_page)
self.request = request
self.has_next = False
start_offset = 0
stop_offset = start_offset + self.per_page + 1
if self.use_count:
self.total = queryset.count()
paginated = list(queryset[:stop_offset])
if len(paginated) > self.per_page:
self.has_next = True
del paginated[-1]
if paginated:
self.page_boundaries = (
paginated[0].uuid,
paginated[-1].uuid,
)
elif self.cursor_obj:
self.page_boundaries = (self.cursor_obj.uuid, self.cursor_obj.uuid)
else:
self.page_boundaries = (None, None)
return paginated
def calc_net(queryset: QuerySet):
total = timedelta()
queryset = queryset.order_by("-date")
for i in range(queryset.count()):
if queryset[i].nature == 1 and i > 0:
total += queryset[i - 1].date - queryset[i].date
return format_delta(total)
def saveTextSentiment(sentimentable_classes: models.QuerySet):
sentiment_comprehender = comprehender()
sentimentable_list = list(sentimentable_classes)
text_list = [None] * sentimentable_classes.count()
processed_sentiment_list = []
processed_index = 0
for i in range(sentimentable_classes.count()):
text_list[i] = sentimentable.__shrinkLongText(
sentimentable_list[i].text)
text_list = list(sentimentable.__chunk(text_list=text_list, n=25))
for i in range(len(text_list)):
sentiment_list = sentiment_comprehender.comprehendText(
text=text_list[i])
for j in range(len(sentiment_list['ResultList'])):
processed_sentiment_list.append(
sentiment_list['ResultList'][j])
for i in range(sentimentable_classes.count()):
try:
sentimentable_classes[i].nlp_processed = True
sentimentable_list[
i].nlp_neutral_sentiment = processed_sentiment_list[i][
'SentimentScore']['Neutral']
sentimentable_list[
i].nlp_mixed_sentiment = processed_sentiment_list[i][
'SentimentScore']['Mixed']
sentimentable_list[
i].nlp_negative_sentiment = processed_sentiment_list[i][
'SentimentScore']['Negative']
sentimentable_list[
i].nlp_positive_sentiment = processed_sentiment_list[i][
'SentimentScore']['Positive']
if sentimentable_list[
i].nlp_neutral_sentiment == None or sentimentable_list[
i].nlp_mixed_sentiment == None or sentimentable_list[
i].nlp_negative_sentiment == None or sentimentable_list[
i].nlp_positive_sentiment == None:
sentimentable_list[i].delete()
else:
sentimentable_list[i].save()
processed_index += 1
except Exception as ex:
logging.error(str(ex))
print(str(ex))
sentimentable_classes[processed_index].delete()
processed_index += 1
def _make_stats(queryset: QuerySet) -> Any:
""" Generates stats for the frontend to render """
# The return value of this function should be kept in sync with
# the 'PortalStats' interface in assets/src/registry/stats/_view.d.ts.
dicts = {k: _compute_stats(queryset, v) for (k, v) in stat_dicts.items()}
return {'total': queryset.count(), **dicts}
def unarchive_selected_bookmarks(self, request, queryset: QuerySet):
for bookmark in queryset:
unarchive_bookmark(bookmark)
bookmarks_count = queryset.count()
self.message_user(request, ngettext(
'%d bookmark was successfully unarchived.',
'%d bookmarks were successfully unarchived.',
bookmarks_count,
) % bookmarks_count, messages.SUCCESS)
def create_matches_wanted_galleries_from_providers_internal(
wanted_galleries: QuerySet,
provider_filter: str = '', cutoff: float = 0.4, max_matches: int = 20,
must_be_used: bool = False
) -> None:
try:
galleries_title_id = []
if provider_filter:
galleries = Gallery.objects.eligible_for_use(provider__contains=provider_filter)
else:
galleries = Gallery.objects.eligible_for_use()
if must_be_used:
galleries = galleries.filter(
Q(archive__isnull=False)
| (Q(gallery_container__isnull=False) & Q(gallery_container__archive__isnull=False))
| (Q(magazine__isnull=False) & Q(magazine__archive__isnull=False))
)
for gallery in galleries:
if gallery.title:
galleries_title_id.append(
(clean_title(gallery.title), gallery.pk))
if gallery.title_jpn:
galleries_title_id.append(
(clean_title(gallery.title_jpn), gallery.pk))
logger.info(
"Trying to match against gallery database, "
"{} wanted galleries with no match. Provider filter: {}".format(
wanted_galleries.count(),
provider_filter
)
)
for wanted_gallery in wanted_galleries:
similar_list = get_list_closer_gallery_titles_from_list(
wanted_gallery.search_title, galleries_title_id, cutoff, max_matches)
if similar_list is not None:
logger.info("Found {} matches from title for {}".format(len(similar_list), wanted_gallery.search_title))
for similar in similar_list:
# We filter here instead of the Gallery model, because we use the same list for every WG.
if not FoundGallery.objects.filter(wanted_gallery=wanted_gallery, gallery_id=similar[1]):
GalleryMatch.objects.get_or_create(
wanted_gallery=wanted_gallery,
gallery_id=similar[1],
defaults={'match_accuracy': similar[2]})
logger.info("Matching ended")
return
except BaseException:
logger.critical(traceback.format_exc())
def swap(model_admin: admin.ModelAdmin, request, queryset: QuerySet):
if queryset.count() != 2:
model_admin.message_user(request, _('Swapped can be only directly two matches.'), level=messages.ERROR)
return
first, second = queryset # type: Match, Match
first.match_term, second.match_term = second.match_term, first.match_term
first.save(update_fields=['match_term', ])
second.save(update_fields=['match_term', ])
model_admin.message_user(request, _('Successfully swapped.'), level=messages.SUCCESS)
def paginate_queryset(queryset: QuerySet, request: Request):
queryset_paginated = queryset
if request.query_params.get(REST_FRAMEWORK['PAGE_SIZE_QUERY_PARAM']) is not None:
paginator = api_settings.DEFAULT_PAGINATION_CLASS()
queryset_paginated = paginator.paginate_queryset(queryset, request)
count_items = paginator.page.paginator.count
else:
count_items = queryset.count()
return queryset_paginated, count_items
def _check_input_for_variant(cls, cleaned_input: T_INPUT_MAP, qs: QuerySet):
"""Check the cleaned attribute input for a variant.
An Attribute queryset is supplied.
- ensure all attributes are passed
- ensure the values are correct for a variant
"""
if len(cleaned_input) != qs.count():
raise ValidationError("All attributes must take a value")
for attribute, values in cleaned_input:
validate_attribute_input_for_variant(attribute, values)
def log_pending(
self,
existing: QuerySet,
pending: QuerySet,
log_level: int = logging.INFO,
) -> None:
"""
Log the number of pending vs. existing instances.
Parameters
----------
existing : QuerySet
Instances with existing runs
pending : QuerySet
Instances pending execution
log_level : int, optional
Logging level to use, by default 20 (INFO)
"""
message = self.PENDING_FOUND.format(n_existing=existing.count(),
n_pending=pending.count())
_LOGGER.log(log_level, message)
def run(self, runs: QuerySet = None) -> pd.DataFrame:
node = get_cat12_segmentation_node()
runs = runs or node.get_run_set().filter(status="SUCCESS")
indices = pd.MultiIndex.from_tuples(
combinations(range(runs.count()), 2))
scores = pd.DataFrame(index=indices, columns=self.column_names)
# scores = from_pandas(scores, chunksize=25000)
for i_output, output in enumerate(self.COMPARED_OUTPUTS):
output_name = self._fix_output_name(output)
print(output_name)
previous_index_1 = previous_index_2 = None
data_1 = data_2 = None
for index, *_ in scores.itertuples():
index_1, index_2 = index
run_1, run_2 = runs[index_1], runs[index_2]
if previous_index_1 != index_1:
path_1 = run_1.get_output(output)
data_1 = self._read_data(path_1)
if previous_index_2 != index_2:
path_2 = run_2.get_output(output)
data_2 = self._read_data(path_2)
score = self._calculate_mi(data_1, data_2)
scores.loc[index, output_name] = score
previous_index_1 = index_1
previous_index_2 = index_2
if i_output == 0:
scan_1 = self._query_scan(run_1)
scan_2 = self._query_scan(run_2)
session_1 = scan_1.session
session_2 = scan_2.session
subject_1 = session_1.subject
subject_2 = session_2.subject
same_subject = subject_1 == subject_2
scores.loc[index, "Subject 1"] = subject_1.id
scores.loc[index, "Subject 2"] = subject_2.id
scores.loc[index, "Same Subject"] = same_subject
scores.loc[index, "Session 1"] = session_1.id
scores.loc[index, "Session 2"] = session_2.id
if same_subject:
same_session = session_1 == session_2
scores.loc[index, "Same Session"] = same_session
scores.loc[index, "Scan 1"] = scan_1.id
scores.loc[index, "Scan 2"] = scan_2.id
scores.loc[index,
"Scan Description 1"] = scan_1.description
scores.loc[index,
"Scan Description 2"] = scan_2.description
scores.loc[index, "Scan Time 1"] = scan_1.time
scores.loc[index, "Scan Time 2"] = scan_2.time
if same_subject:
delta = self._calculate_days_delta(scan_1, scan_2)
scores.loc[index, "Time Delta"] = delta
return scores
def paging_queryset(query_set: QuerySet,
page: int = 0,
per_page: int = None,
**kwarg: dict) -> (QuerySet, dict):
page_info = {
'page': 1,
'per_page': per_page,
'pages': 1,
'count': 0,
'count_e': 0,
}
if query_set:
if page > 0 and per_page:
if isinstance(query_set, QuerySet) or hasattr(query_set, 'count'):
paginate_by = int(per_page) if isinstance(
per_page, (int, float)) else 10
page = int(page) if isinstance(page, (int, float)) else 1
try:
paginator = Paginator(query_set, paginate_by)
page_info['count_e'] = paginator.count
page_info['count'] = query_set.count()
page_info['page'] = page
page_info['pages'] = paginator.num_pages
page_info['per_page'] = paginate_by
query_set = paginator.get_page(page)
except Http404:
query_set = ()
page_info['count_e'] = 0
page_info['count'] = 0
page_info['page'] = page
page_info['pages'] = 1
page_info['per_page'] = paginate_by
else:
if isinstance(query_set, QuerySet) or hasattr(query_set, 'count'):
page_info['count'] = query_set.count()
elif hasattr(query_set, '__len__') or isinstance(query_set, Sized):
page_info['count'] = len(query_set)
else:
page_info['count'] = 1
return query_set, page_info
def filter_clinics_online(queryset: QuerySet, searcher):
"""
:param queryset: Clinic QuerySet
:param searcher: AppointmentClinicSearcher
:return: Clinic QuerySet
"""
queryset = queryset.filter(admin__id__in=OnlineService.filter_online(
User.objects.clinic_admins()))
if searcher.raise_exception and queryset.count() == 0:
msg = NO_CLINIC_MSG.format(field='location and treatments')
raise ValidationError({'location': msg, 'treatments': msg})
return queryset
def paginate(query: QuerySet,
schema: BaseModel,
params: Optional[AbstractParams] = None) -> AbstractPage:
params = resolve_params(params)
raw_params = params.to_raw_params()
total = query.count()
start = raw_params.limit * raw_params.offset
end = start + raw_params.limit
rows = query.all()[start:end]
items = [schema.from_django(row) for row in rows]
return create_page(items, total, params)
def _daily_count(subjects_queryset: QuerySet):
dates = []
men_count = []
women_count = []
if subjects_queryset.count():
subjects_queryset = subjects_queryset.order_by('faces__created_at')
oldest_subject = subjects_queryset.first()
newest_subject = subjects_queryset.last()
lower_timestamp = min(
[face.created_at for face in oldest_subject.faces.all()])
upper_timestamp = max(
[face.created_at for face in newest_subject.faces.all()])
lower_date = timezone.localtime(lower_timestamp).date()
upper_date = timezone.localtime(upper_timestamp).date()
curr_date = lower_date
ind = 0
while curr_date <= upper_date:
next_date = curr_date + datetime.timedelta(days=1)
subjects = subjects_queryset.filter(
faces__created_at__date__gte=curr_date,
faces__created_at__date__lt=next_date)
men_count.append(
len(
set([
subject.id for subject in subjects
if subject.pred_sex == Subject.SEX_MAN
])))
women_count.append(
len(
set([
subject.id for subject in subjects
if subject.pred_sex == Subject.SEX_WOMAN
])))
dates.append(str(curr_date))
curr_date = next_date
ind += 1
return {
'dates': dates,
'men_count': men_count,
'women_count': women_count,
}
def paginate_queryset(
self,
queryset: QuerySet,
request: Request,
view: APIView = None,
) -> OptionalList:
serializer_class = self.get_request_serializer_class()
serializer = serializer_class(data=request.query_params,
max_per_page=self.max_page_size)
serializer.is_valid(raise_exception=False)
self.per_page = serializer.validated_data.get('per_page')
self.page = serializer.validated_data.get('page', 1)
if not self.per_page:
return None
self.has_next = False
self.has_prev = (self.page > 1)
base_url = request.build_absolute_uri()
self.base_url = replace_query_param(base_url,
self.page_size_query_param,
self.per_page)
self.request = request
start_offset = (self.page - 1) * self.per_page
stop_offset = start_offset + self.per_page + 1
if self.use_count:
self.total = len(queryset) if isinstance(
queryset, list) else queryset.count()
if self.total:
self.pages, rem = divmod(self.total, self.per_page)
if rem:
self.pages += 1
else:
self.pages = 1
if self.page > self.pages:
msg = self.invalid_page_message.format(page_number=self.page)
raise NotFound(msg)
paginated = list(queryset[start_offset:stop_offset])
if len(paginated) > self.per_page:
self.has_next = True
del paginated[-1]
return paginated
def page_objects_pagination(
page: int,
query_set: QuerySet,
one_page_max: int = common_constant.DEFAULT_ONE_PAGE_MAX):
"""
查询对象集根据当前页page分页
:param page: 当前页
:param query_set: Django 查询对象集
:param one_page_max: 单页的最大数量
:return: (page_query_set, item_sum, *args) [*args=page_sum, page, one_page_max]
"""
item_sum = query_set.count()
item_start, item_end, *args = pagination(item_sum, page, one_page_max)
page_query_set = query_set[item_start:item_end]
return page_query_set, item_sum, args
def export_applicants(self, request: HttpRequest, queryset: QuerySet):
if queryset.count() != 1:
self.message_user(request,
"Please select only one session for export",
messages.ERROR)
return
session: ApplicationSession = queryset.get()
csv_resp = HttpResponse(content_type='text/csv')
csv_resp[
'Content-Disposition'] = 'attachment; filename="Applicants %s.csv"' % (
session.move_in_str(), )
wr = csv.writer(csv_resp)
fields: List[Field] = Applicant._meta.get_fields(include_parents=False,
include_hidden=False)
header = []
fnames = []
for f in fields:
if f.is_relation:
continue
header.append(f.verbose_name)
fnames.append(f.name)
header.append("Abstain votes")
header.append("Not suitable votes") # -2
header.append("Suitable votes") # 1
header.append("Very suitable votes") # 2
qs = session.questions()
for q in qs:
header.append(q.question_text)
wr.writerow(header)
for ap in Applicant.objects.filter(session=session):
row = []
for f in fnames:
row.append(getattr(ap, f))
for vv in [0, -2, 1, 2]:
vc = ApplicationVote.objects.filter(applicant=ap,
points__exact=vv).count()
row.append(vc)
for q in qs:
ans = 'no answer'
try:
ans = ApplicationAnswer.objects.get(applicant=ap,
question=q).answer
except:
pass
row.append(ans)
wr.writerow(row)
return csv_resp
def paginator(cls, queryset: QuerySet, query_params: dict) -> tuple:
"""
分页获取页码
:param queryset: QuerySet orm查询集
:param query_params: query参数
:return: tuple
"""
page: int = int(query_params.get("page") or 1)
page_size: int = int(query_params.get("page_size") or 10)
length: int = queryset.count()
pager: dict = {
"page": page,
"page_size": page_size,
"max_page": math.ceil(length / page_size),
"total": length
}
return queryset[(page - 1) * page_size:page * page_size], pager
def batch_qs(qs: QuerySet, batch_size=1000):
"""
Returns a (start, end, total, queryset) tuple for each batch in the given
queryset.
Usage:
# Make sure to order your querset
article_qs = Article.objects.order_by('id')
for start, end, total, qs in batch_qs(article_qs):
print "Now processing %s - %s of %s" % (start + 1, end, total)
for article in qs:
print article.body
"""
total = qs.count()
for start in range(0, total, batch_size):
end = min(start + batch_size, total)
yield (qs[start:end], start, end, total)
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 reorder_list_by_slugs(queryset: QuerySet, field: str, slugs: List[str]) -> None:
"""Alter objects' `field` value so slugs[0] is at position 0 and so on.
For instance:
`remove_gap_from_list(workflow.blocks, 'position', ["block-1", "block-2")`
will set `.position = 0` for block-1 and `.position = 1` for block-2.
This must be called within a database transaction.
This could be a single `UPDATE`. However, Postgres checks uniqueness
constraints _before the statement ends_, so it leads to a conflict.
TODO use Django 3.1 with DEFERRABLE INITIALLY DEFFERED constraint to avoid
this problem. In the meantime, write one row at a time to avoid conflict.
"""
# Make sure we don't overwrite any positions: make all existing numbers
# negative.
assert queryset.count() == len(slugs)
queryset.update(**{field: -1 - F(field)})
for position, slug in enumerate(slugs):
queryset.filter(slug=slug).update(**{field: position})
def _create_search_results_elem(self, all_md: QuerySet, returned_md: list):
""" Creates the <csw:SearchResults> element
Returns:
search_status_elem (_Element): The lxml element
"""
number_of_records = all_md.count()
number_of_records_returned = len(returned_md)
next_record = self.param.start_position + number_of_records_returned
next_record = next_record if next_record < number_of_records else 0
attribs = OrderedDict()
attribs["numberOfRecordsMatched"] = str(number_of_records)
attribs["numberOfRecordsReturned"] = str(number_of_records_returned)
attribs["elementSet"] = str(self.param.element_set_name
or ",".join(self.param.element_name))
attribs["nextRecord"] = str(next_record)
elem = Element("{}SearchResults".format(self.csw_ns), attrib=attribs)
return elem
def summarize_invoice_statistics(modeladmin, request: HttpRequest,
qs: QuerySet): # pylint: disable=unused-argument
invoice_states = list(state for (state, name) in INVOICE_STATE)
invoiced_total_amount = Decimal("0.00")
invoiced_total_count = 0
lines = [
"<pre>",
_("({total_count} invoices)").format(total_count=qs.count()),
]
for state in invoice_states:
state_name = choices_label(INVOICE_STATE, state)
qs2 = qs.filter(state=state)
invoiced = qs2.filter(state=state).aggregate(amount=Coalesce(
Sum("amount"), Decimal("0.00")),
count=Count("*"))
invoiced_amount = Decimal(invoiced["amount"])
invoiced_count = int(invoiced["count"])
invoiced_total_amount += invoiced_amount
invoiced_total_count += invoiced_count
lines.append("{state_name} | x{count} | {amount:.2f}".format(
state_name=state_name,
amount=invoiced_amount,
count=invoiced_count))
lines.append(
_("Total") + " {label} | x{count} | {amount:.2f}".format(
label=_("amount"),
amount=invoiced_total_amount,
count=invoiced_total_count))
lines.append("</pre>")
lines = align_lines(lines, "|")
messages.add_message(request,
INFO,
format_html("<br>".join(lines)),
extra_tags="safe")
def make_alert_messages(
d: Docket,
new_des: QuerySet,
email_addresses: "ValuesQuerySet[User, Optional[str]]", # type: ignore
) -> List[EmailMultiAlternatives]:
"""Make docket alert messages that can be sent to users
:param d: The docket to work on
:param new_des: The new docket entries
:param email_addresses: A list of user email addresses to send to
:return: A list of email messages to send
"""
case_name = trunc(best_case_name(d), 100, ellipsis="...")
subject_template = loader.get_template("docket_alert_subject.txt")
subject = subject_template.render({
"docket": d,
"count": new_des.count(),
"case_name": case_name,
}).strip() # Remove newlines that editors can insist on adding.
email_context = {"new_des": new_des, "docket": d}
txt_template = loader.get_template("docket_alert_email.txt")
html_template = loader.get_template("docket_alert_email.html")
messages = []
for email_address in email_addresses:
msg = EmailMultiAlternatives(
subject=subject,
body=txt_template.render(email_context),
from_email=settings.DEFAULT_ALERTS_EMAIL,
to=[email_address],
headers={f"X-Entity-Ref-ID": "docket.alert:{d.pk}"},
)
html = html_template.render(email_context)
msg.attach_alternative(html, "text/html")
messages.append(msg)
# Add a bcc to the first message in the list so that we get a copy.
messages[0].bcc = ["*****@*****.**"]
return messages