def test_spam_with_many_response(create_revision, akismet_wiki_user,
akismet_wiki_user_2, user_client,
enable_akismet_submissions,
akismet_mock_requests):
submission = RevisionAkismetSubmission(
type="ham",
sender=akismet_wiki_user_2,
revision=create_revision
)
submission.save()
# Check that one RevisionAkismetSubmission instance exists.
ras = RevisionAkismetSubmission.objects.filter(revision=create_revision)
assert ras.count() == 1
# Create another Akismet revision via the endpoint.
url = reverse('wiki.submit_akismet_spam', locale='en-US')
response = user_client.post(url, data={'revision': create_revision.id})
assert response.status_code == 201
assert 'max-age=0' in response['Cache-Control']
assert 'no-cache' in response['Cache-Control']
assert 'no-store' in response['Cache-Control']
assert 'must-revalidate' in response['Cache-Control']
data = json.loads(response.content)
assert len(data) == 2
assert data[0]['type'] == 'ham'
assert data[0]['sender'] == akismet_wiki_user_2.username
assert data[1]['type'] == 'spam'
assert data[1]['sender'] == akismet_wiki_user.username
# Check that the Akismet endpoints were called.
assert akismet_mock_requests.called
assert akismet_mock_requests.call_count == 2
def test_spam_with_many_response(create_revision, akismet_wiki_user,
akismet_wiki_user_2, user_client,
enable_akismet_submissions,
akismet_mock_requests):
submission = RevisionAkismetSubmission(type="ham",
sender=akismet_wiki_user_2,
revision=create_revision)
submission.save()
# Check that one RevisionAkismetSubmission instance exists.
ras = RevisionAkismetSubmission.objects.filter(revision=create_revision)
assert ras.count() == 1
# Create another Akismet revision via the endpoint.
url = reverse('wiki.submit_akismet_spam', locale='en-US')
response = user_client.post(url, data={'revision': create_revision.id})
assert response.status_code == 201
assert 'max-age=0' in response['Cache-Control']
assert 'no-cache' in response['Cache-Control']
assert 'no-store' in response['Cache-Control']
assert 'must-revalidate' in response['Cache-Control']
data = json.loads(response.content)
assert len(data) == 2
assert data[0]['type'] == 'ham'
assert data[0]['sender'] == akismet_wiki_user_2.username
assert data[1]['type'] == 'spam'
assert data[1]['sender'] == akismet_wiki_user.username
# Check that the Akismet endpoints were called.
assert akismet_mock_requests.called
assert akismet_mock_requests.call_count == 2
def test_recent_spam_revisions_show(self, mock_analytics_upageviews):
"""The correct spam revisions should show up."""
doc1 = create_document(save=True)
doc2 = create_document(save=True)
# Create some revisions by self.testuser
rev_doc0 = self.create_revisions(num=1,
creator=self.testuser,
document=self.document)
rev_doc1 = self.create_revisions(num=1,
creator=self.testuser,
document=doc1)
rev_doc2 = self.create_revisions(num=1,
creator=self.testuser,
document=doc2)
created_revisions = rev_doc0 + rev_doc1 + rev_doc2
# Mark each revision as created yesterday
for rev in created_revisions:
rev.created = datetime.datetime.today() - datetime.timedelta(
days=1)
rev.save()
# Mark each of self.testuser's revisions as spam
for revision in created_revisions:
revision.akismet_submissions.add(
RevisionAkismetSubmission(sender=self.admin, type="spam"))
# self.admin creates some revisions on a different document
self.create_revisions(num=3, creator=self.admin)
mock_analytics_upageviews.return_value = {
rev_doc0[0].id: 0,
rev_doc1[0].id: 0,
rev_doc2[0].id: 0
}
self.client.login(username='******', password='******')
# The first response will say that the report is being processed
response = self.client.get(reverse('dashboards.spam', locale='en-US'))
eq_(200, response.status_code)
response2 = self.client.get(reverse('dashboards.spam', locale='en-US'))
page = pq(response2.content)
table_rows = page.find('.spam-events-table tbody tr')
table_row_text = ''
for table_row in table_rows:
table_row_text += table_row.text_content()
eq_(len(table_rows), len(created_revisions))
for revision in created_revisions:
document_url = reverse(
'wiki.document',
kwargs={'document_path': revision.document.slug})
ok_(document_url in table_row_text)
def submit_akismet_spam(request):
"""
Submit a published revision as spam.
If successful, the revision dashboard is loaded again, and displays that
the revision was marked as spam. On failure, no errors are returned, just
reloads the dashboard.
"""
url = request.POST.get('next')
if url is None or not is_safe_url(url, request.get_host()):
url = reverse('dashboards.revisions')
submission = RevisionAkismetSubmission(sender=request.user, type='spam')
form = RevisionAkismetSubmissionSpamForm(data=request.POST,
instance=submission,
request=request)
if form.is_valid():
form.save()
return redirect(url)
def submit_akismet_spam(request):
"""
Creates SPAM Akismet record for revision.
Return json object with Akismet Record data.
TODO: Create Submitting as HAM record for revision
"""
submission = RevisionAkismetSubmission(sender=request.user, type="spam")
data = RevisionAkismetSubmissionSpamForm(data=request.POST,
instance=submission,
request=request)
if data.is_valid():
data.save()
revision = data.cleaned_data['revision']
akismet_revisions = (RevisionAkismetSubmission.objects.filter(
revision=revision).order_by('id').values('sender__username',
'sent', 'type'))
data = [{
"sender":
rev["sender__username"],
"sent":
format_date_time(value=rev["sent"],
format='datetime',
request=request)[0],
"type":
rev["type"]
} for rev in akismet_revisions]
return HttpResponse(json.dumps(data, sort_keys=True),
content_type='application/json; charset=utf-8',
status=201)
return HttpResponseBadRequest()
def ban_user_and_cleanup_summary(request, username):
"""
A summary page of actions taken when banning a user and reverting revisions
This method takes all the revisions from the last three days,
sends back the list of revisions that were successfully reverted/deleted
and submitted to Akismet, and also a list of
revisions where no action was taken (revisions needing follow up).
"""
user = get_object_or_404(User, username=username)
# Is this user already banned?
user_ban = UserBan.objects.filter(user=user, is_active=True)
# If the user is not banned, ban user; else, update 'by' and 'reason'
if not user_ban.exists():
ban = UserBan(user=user, by=request.user, reason="Spam", is_active=True)
ban.save()
else:
user_ban.update(by=request.user, reason="Spam")
date_three_days_ago = datetime.now().date() - timedelta(days=3)
revisions_from_last_three_days = user.created_revisions.prefetch_related("document")
revisions_from_last_three_days = revisions_from_last_three_days.defer(
"content", "summary"
).order_by("-id")
revisions_from_last_three_days = revisions_from_last_three_days.filter(
created__gte=date_three_days_ago
)
""" The "Actions Taken" section """
# The revisions to be submitted to Akismet and reverted,
# these must be sorted descending so that they are reverted accordingly
revisions_to_mark_as_spam_and_revert = revisions_from_last_three_days.filter(
id__in=request.POST.getlist("revision-id")
).order_by("-id")
# 1. Submit revisions to Akismet as spam
# 2. If this is the most recent revision for a document:
# Revert revision if it has a previous version OR
# Delete revision if it is a new document
submitted_to_akismet = []
not_submitted_to_akismet = []
revisions_reverted_list = []
revisions_not_reverted_list = []
revisions_deleted_list = []
revisions_not_deleted_list = []
latest_is_not_spam = [
rev
for rev in revision_by_distinct_doc(revisions_to_mark_as_spam_and_revert)
if rev.document.current_revision != rev
]
previous_good_rev = {}
for revision in revisions_to_mark_as_spam_and_revert:
submission = RevisionAkismetSubmission(sender=request.user, type="spam")
akismet_submission_data = {"revision": revision.id}
data = RevisionAkismetSubmissionSpamForm(
data=akismet_submission_data, instance=submission, request=request
)
# Submit to Akismet or note that validation & sending to Akismet failed
if data.is_valid():
data.save()
# Since we only want to display 1 revision per document, only add to
# this list if this is one of the revisions for a distinct document
submitted_to_akismet.append(revision)
else:
not_submitted_to_akismet.append(revision)
# If there is a current revision and the revision is not in the spam list,
# to be reverted, do not revert any revisions
try:
revision.document.refresh_from_db(fields=["current_revision"])
except Document.DoesNotExist:
continue # This document was previously deleted in this loop, continue
if (
revision.document.current_revision
not in revisions_to_mark_as_spam_and_revert
):
if revision.document_id not in previous_good_rev:
previous_good_rev[
revision.document_id
] = revision.document.current_revision
continue # This document has a more current revision, no need to revert
# Loop through all previous revisions to find the oldest spam
# revision on a specific document from this request.
while revision.previous in revisions_to_mark_as_spam_and_revert:
revision = revision.previous
# If this is a new revision on an existing document, revert it
if revision.previous:
previous_good_rev[revision.document_id] = revision.previous
reverted = revert_document(
request=request, revision_id=revision.previous.id
)
if reverted:
revisions_reverted_list.append(revision)
else:
# If the revert was unsuccessful, include this in the follow-up list
revisions_not_reverted_list.append(revision)
# If this is a new document/translation, delete it
else:
deleted = delete_document(request=request, document=revision.document)
if deleted:
revisions_deleted_list.append(revision)
else:
# If the delete was unsuccessful, include this in the follow-up list
revisions_not_deleted_list.append(revision)
# Find just the latest revision for each document
submitted_to_akismet_by_distinct_doc = revision_by_distinct_doc(
submitted_to_akismet
)
not_submitted_to_akismet_by_distinct_doc = revision_by_distinct_doc(
not_submitted_to_akismet
)
revisions_reverted_by_distinct_doc = revision_by_distinct_doc(
revisions_reverted_list
)
revisions_not_reverted_by_distinct_doc = revision_by_distinct_doc(
revisions_not_reverted_list
)
revisions_deleted_by_distinct_doc = revision_by_distinct_doc(revisions_deleted_list)
revisions_not_deleted_by_distinct_doc = revision_by_distinct_doc(
revisions_not_deleted_list
)
actions_taken = {
"revisions_reported_as_spam": submitted_to_akismet_by_distinct_doc,
"revisions_reverted_list": revisions_reverted_by_distinct_doc,
"revisions_deleted_list": revisions_deleted_by_distinct_doc,
}
""" The "Needs followup" section """
# TODO: Phase V: If user made actions while reviewer was banning them
new_action_by_user = []
skipped_revisions = [
rev
for rev in revisions_to_mark_as_spam_and_revert
if rev.document_id in previous_good_rev
and rev.id < previous_good_rev[rev.document_id].id
]
skipped_revisions = revision_by_distinct_doc(skipped_revisions)
needs_follow_up = {
"manual_revert": new_action_by_user,
"skipped_revisions": skipped_revisions,
"not_submitted_to_akismet": not_submitted_to_akismet_by_distinct_doc,
"not_reverted_list": revisions_not_reverted_by_distinct_doc,
"not_deleted_list": revisions_not_deleted_by_distinct_doc,
}
""" The "No Actions Taken" section """
revisions_already_spam = revisions_from_last_three_days.filter(
id__in=request.POST.getlist("revision-already-spam")
)
revisions_already_spam = list(revisions_already_spam)
revisions_already_spam_by_distinct_doc = revision_by_distinct_doc(
revisions_already_spam
)
identified_as_not_spam = [
rev
for rev in revisions_from_last_three_days
if rev not in revisions_already_spam
and rev not in revisions_to_mark_as_spam_and_revert
]
identified_as_not_spam_by_distinct_doc = revision_by_distinct_doc(
identified_as_not_spam
)
no_actions_taken = {
"latest_revision_is_not_spam": latest_is_not_spam,
"revisions_already_identified_as_spam": revisions_already_spam_by_distinct_doc,
"revisions_identified_as_not_spam": identified_as_not_spam_by_distinct_doc,
}
context = {
"detail_user": user,
"form": UserBanForm(),
"actions_taken": actions_taken,
"needs_follow_up": needs_follow_up,
"no_actions_taken": no_actions_taken,
}
# Send an email to the spam watch mailing list.
ban_and_revert_notification(user, request.user, context)
return render(request, "users/ban_user_and_cleanup_summary.html", context)
def handle(self, *args, **options):
dry_run = options['dry_run']
# first get the deleted document logs for the last n days
ttl = timezone.now() - timedelta(days=options['days'])
logged_deletions = DocumentDeletionLog.objects.filter(
timestamp__gte=ttl,
).filter(
# They use "spam" or "junk"
# deleting spam revisions;
# the spam makes me cry. -- willkg
models.Q(reason__icontains='spam') |
models.Q(reason__icontains='junk')
)
count = logged_deletions.count()
self.stdout.write('Checking %s deleted document logs' % count)
sender = get_user_model().objects.get(username=options['username'])
self.stdout.write(u'Submitting spam to Akismet as user %s' % sender)
akismet = Akismet()
if not akismet.ready:
raise CommandError('Akismet client is not ready')
for i, logged_deletion in enumerate(logged_deletions.iterator(), 1):
self.stdout.write('%d/%d: ' % (i, count), ending='')
# get the deleted document in question
document = Document.admin_objects.filter(
locale=logged_deletion.locale,
slug=logged_deletion.slug,
).first()
if document is None:
# no document found with that locale and slug,
# probably purged at some point
self.stderr.write(u'Ignoring locale %s and slug %s' %
(logged_deletion.locale,
logged_deletion.slug))
continue
if not document.deleted:
# guess the document got undeleted at some point again,
# ignoring..
self.stderr.write(u'Ignoring undeleted document %s' % document)
continue
if not document.current_revision:
# no current revision found, which means something is fishy
# but we can't submit it as spam since we don't have a revision
self.stderr.write(u'Ignoring document %s without current '
u'revision' % document.pk)
continue
params = revision_akismet_parameters(document.current_revision)
if dry_run:
# we're in dry-run, so let's continue okay?
self.stdout.write(u'Not submitting current revision %s of '
u'document %s because of dry-mode' %
(document.current_revision.pk, document.pk))
continue
try:
akismet.submit_spam(**params)
except AkismetError as exc:
self.stderr.write(u'Akismet error while submitting current '
u'revision %s of document %s: %s' %
(document.current_revision.pk, document.pk,
exc.debug_help))
else:
self.stdout.write(u'Successfully submitted current '
u'revision %s of document %s' %
(document.current_revision.pk, document.pk))
submission = RevisionAkismetSubmission(
revision=document.current_revision,
sender=sender,
type=RevisionAkismetSubmission.SPAM_TYPE,
)
submission.save()
def test_spam_trends_stats(self, mock_analytics_upageviews):
"""Test that the correct stats show up on the spam trends dashboard."""
# Period length
days_in_week = 7
days_in_month = 28
days_in_quarter = 91
# Dates
today = datetime.datetime.today()
yesterday = today - datetime.timedelta(days=1)
three_days_ago = today - datetime.timedelta(days=3)
weekly_start_date = today - datetime.timedelta(days=days_in_week)
ten_days_ago = today - datetime.timedelta(days=10)
monthly_start_date = today - datetime.timedelta(days=days_in_month)
thirtyfive_days_ago = today - datetime.timedelta(days=35)
quarterly_start_date = today - datetime.timedelta(days=days_in_quarter)
hundred_days_ago = today - datetime.timedelta(days=100)
# Revisions made by self.testuser: 3 made today, 3 made 3 days ago,
# 3 made 10 days ago, 3 made 35 days ago, 3 made 100 days ago
revs = self.create_revisions(num=15, creator=self.testuser, document=self.document)
for i in range(0, 3):
revs[i].created = today
for i in range(3, 6):
revs[i].created = three_days_ago
for i in range(6, 9):
revs[i].created = ten_days_ago
for i in range(9, 12):
revs[i].created = thirtyfive_days_ago
for i in range(12, 15):
revs[i].created = hundred_days_ago
for rev in revs:
rev.save()
# Published spam by self.testuser
spam_rev_today = revs[2]
spam_rev_3_days_ago = revs[5]
spam_rev_10_days_ago = revs[8]
spam_rev_35_days_ago = revs[11]
spam_rev_100_days_ago = revs[14]
spam_revs = [spam_rev_today, spam_rev_3_days_ago, spam_rev_10_days_ago,
spam_rev_35_days_ago, spam_rev_100_days_ago]
# Summary of spam submissions
spam_weekly = [spam_rev_3_days_ago]
spam_monthly = [spam_rev_3_days_ago, spam_rev_10_days_ago]
spam_quarterly = [spam_rev_3_days_ago, spam_rev_10_days_ago,
spam_rev_35_days_ago]
# All of the spam_revs were published and then marked as spam
for rev in spam_revs:
rev.save()
rev.akismet_submissions.add(RevisionAkismetSubmission(
sender=self.admin, type="spam")
)
# Summary of self.testuser's ham submissions
ham_weekly = revs[3:5]
ham_monthly = revs[3:5] + revs[6:8]
ham_quarterly = revs[3:5] + revs[6:8] + revs[9:11]
# There were 2 correctly blocked spam attempts 3 days ago (within past week)
true_blocked_spam_num = 2
for i in range(0, true_blocked_spam_num):
document_spam_rev_3_days_ago = DocumentSpamAttempt(
user=self.testuser,
title='A spam revision',
slug='spam-revision-slug',
document=self.document,
review=DocumentSpamAttempt.SPAM
)
document_spam_rev_3_days_ago.save()
document_spam_rev_3_days_ago.created = three_days_ago
document_spam_rev_3_days_ago.save()
# There was 1 incorrectly blocked spam attempt 3 days ago
false_blocked_spam_num = 1
for i in range(0, false_blocked_spam_num):
document_ham_rev_3_days_ago = DocumentSpamAttempt(
user=self.testuser,
title='Not a spam revision',
slug='ham-revision-slug',
document=self.document,
review=DocumentSpamAttempt.HAM
)
document_ham_rev_3_days_ago.save()
document_ham_rev_3_days_ago.created = three_days_ago
document_ham_rev_3_days_ago.save()
page_views = {}
# The spam from 3 days ago was seen 3 times, from 10 days ago see 10 times,
# and from 35 days ago seen 35 times
page_views[spam_rev_3_days_ago.id] = 3
page_views[spam_rev_10_days_ago.id] = 10
page_views[spam_rev_35_days_ago.id] = 35
# The mock Google Analytics return values for page views
mock_analytics_upageviews.return_value = page_views
self.client.login(username='******', password='******')
# The first response will say that the report is being processed
response = self.client.get(reverse('dashboards.spam', locale='en-US'))
eq_(200, response.status_code)
response2 = self.client.get(reverse('dashboards.spam', locale='en-US'))
page = pq(response2.content)
row_daily = page.find('.spam-trends-table tbody tr')[0].text_content().replace(' ', '').strip('\n').split('\n')
row_weekly = page.find('.spam-trends-table tbody tr')[1].text_content().replace(' ', '').strip('\n').split('\n')
row_monthly = page.find('.spam-trends-table tbody tr')[2].text_content().replace(' ', '').strip('\n').split('\n')
row_quarterly = page.find('.spam-trends-table tbody tr')[3].text_content().replace(' ', '').strip('\n').split('\n')
# These are the columns in the spam dashboard spam trends table
period = 0
start_date = 1
spam_viewers_change_percent = 2
spam_viewers = 3
daily_average_viewers = 4
published_spam = 5
blocked_spam = 6
blocked_ham = 7
true_positive_rate = 8
true_negative_rate = 9
# The periods are identified as 'Daily', 'Weekly', 'Monthly', 'Quarterly'
eq_(row_daily[period], 'Daily')
eq_(row_weekly[period], 'Weekly')
eq_(row_monthly[period], 'Monthly')
eq_(row_quarterly[period], 'Quarterly')
# The start dates for each period are correct
eq_(row_daily[start_date], yesterday.strftime('%Y-%m-%d'))
eq_(row_weekly[start_date], weekly_start_date.strftime('%Y-%m-%d'))
eq_(row_monthly[start_date], monthly_start_date.strftime('%Y-%m-%d'))
eq_(row_quarterly[start_date], quarterly_start_date.strftime('%Y-%m-%d'))
# The page views during the week, month, quarter
spam_views_week = page_views[spam_rev_3_days_ago.id]
spam_views_month = spam_views_week + page_views[spam_rev_10_days_ago.id]
spam_views_month_exclude_week = page_views[spam_rev_10_days_ago.id]
spam_views_quarter = spam_views_month + page_views[spam_rev_35_days_ago.id]
spam_views_quarter_exclude_month = page_views[spam_rev_35_days_ago.id]
# The percentage change in spam viewers
weekly_spam_change_percent = '{:.1%}'.format(
float(spam_views_week - spam_views_month_exclude_week) / spam_views_month_exclude_week
)
monthly_spam_change_percent = '{:.1%}'.format(
float(spam_views_month - spam_views_quarter_exclude_month) / spam_views_quarter_exclude_month
)
eq_(row_daily[spam_viewers_change_percent], '0.0%')
eq_(row_weekly[spam_viewers_change_percent], weekly_spam_change_percent)
eq_(row_monthly[spam_viewers_change_percent], monthly_spam_change_percent)
eq_(row_quarterly[spam_viewers_change_percent], '0.0%')
# The spam viewers
eq_(int(row_daily[spam_viewers]), 0)
eq_(int(row_weekly[spam_viewers]), spam_views_week)
eq_(int(row_monthly[spam_viewers]), spam_views_month)
eq_(int(row_quarterly[spam_viewers]), spam_views_quarter)
# The daily average of spam viewers
eq_(float(row_daily[daily_average_viewers]), 0.0)
eq_(row_weekly[daily_average_viewers],
'{:.1f}'.format(float(spam_views_week) / days_in_week))
eq_(row_monthly[daily_average_viewers],
'{:.1f}'.format(float(spam_views_month) / days_in_month))
eq_(row_quarterly[daily_average_viewers],
'{:.1f}'.format(float(spam_views_quarter) / days_in_quarter))
# The published spam: 1 this week, 2 this month, 3 this quarter
eq_(int(row_daily[published_spam]), len([]))
eq_(int(row_weekly[published_spam]), len(spam_weekly))
eq_(int(row_monthly[published_spam]), len(spam_monthly))
eq_(int(row_quarterly[published_spam]), len(spam_quarterly))
# The blocked spam: there were 2 correctly blocked spam attempts 3 days ago
eq_(int(row_daily[blocked_spam]), 0)
eq_(int(row_weekly[blocked_spam]), true_blocked_spam_num)
eq_(int(row_monthly[blocked_spam]), true_blocked_spam_num)
eq_(int(row_quarterly[blocked_spam]), true_blocked_spam_num)
# The blocked ham: there was 1 incorrectly blocked spam attempt 3 days ago
eq_(int(row_daily[blocked_ham]), 0)
eq_(int(row_weekly[blocked_ham]), false_blocked_spam_num)
eq_(int(row_monthly[blocked_ham]), false_blocked_spam_num)
eq_(int(row_quarterly[blocked_ham]), false_blocked_spam_num)
# The true positive rate == blocked_spam / total spam
tpr_weekly = '{:.1%}'.format(
true_blocked_spam_num / float(true_blocked_spam_num + len(spam_weekly))
)
tpr_monthly = '{:.1%}'.format(
true_blocked_spam_num / float(true_blocked_spam_num + len(spam_monthly))
)
tpr_quarterly = '{:.1%}'.format(
true_blocked_spam_num / float(true_blocked_spam_num + len(spam_quarterly))
)
eq_(row_daily[true_positive_rate], '100.0%')
eq_(row_weekly[true_positive_rate], tpr_weekly)
eq_(row_monthly[true_positive_rate], tpr_monthly)
eq_(row_quarterly[true_positive_rate], tpr_quarterly)
# The true negative rate == published ham / total ham
tnr_weekly = '{:.1%}'.format(
len(ham_weekly) / float(false_blocked_spam_num + len(ham_weekly))
)
tnr_monthly = '{:.1%}'.format(
len(ham_monthly) / float(false_blocked_spam_num + len(ham_monthly))
)
tnr_quarterly = '{:.1%}'.format(
len(ham_quarterly) / float(false_blocked_spam_num + len(ham_quarterly))
)
eq_(row_daily[true_negative_rate], '100.0%')
eq_(row_weekly[true_negative_rate], tnr_weekly)
eq_(row_monthly[true_negative_rate], tnr_monthly)
eq_(row_quarterly[true_negative_rate], tnr_quarterly)
def handle(self, *args, **options):
dry_run = options['dry_run']
# first get the deleted document logs for the last n days
ttl = timezone.now() - timedelta(days=options['days'])
logged_deletions = DocumentDeletionLog.objects.filter(
# They use "spam"
# deleting spam revisions;
# the spam makes me cry. -- willkg
timestamp__gte=ttl,
reason__icontains='spam'
)
count = logged_deletions.count()
self.stdout.write('Checking %s deleted document logs' % count)
sender = get_user_model().objects.get(username=options['username'])
self.stdout.write('Submitting spam to Akismet as user %s' % sender)
akismet = Akismet()
if not akismet.ready:
raise CommandError('Akismet client is not ready')
for i, logged_deletion in enumerate(logged_deletions.iterator(), 1):
self.stdout.write('%d/%d: ' % (i, count), ending='')
# get the deleted document in question
document = Document.admin_objects.filter(
locale=logged_deletion.locale,
slug=logged_deletion.slug,
).first()
if document is None:
# no document found with that locale and slug,
# probably purged at some point
self.stderr.write('Ignoring locale %s and slug %s' %
(logged_deletion.locale,
logged_deletion.slug))
continue
if not document.deleted:
# guess the document got undeleted at some point again,
# ignoring..
self.stderr.write('Ignoring undeleted document %s' % document)
continue
if not document.current_revision:
# no current revision found, which means something is fishy
# but we can't submit it as spam since we don't have a revision
self.stderr.write('Ignoring document %s without current '
'revision' % document.pk)
continue
akismet_data = AkismetHistoricalData(document.current_revision)
params = akismet_data.parameters
if dry_run:
# we're in dry-run, so let's continue okay?
self.stdout.write('Not submitting current revision %s of '
'document %s because of dry-mode' %
(document.current_revision.pk, document.pk))
continue
try:
akismet.submit_spam(**params)
except AkismetError as exc:
self.stderr.write('Akismet error while submitting current '
'revision %s of document %s: %s' %
(document.current_revision.pk, document.pk,
exc.debug_help))
else:
self.stdout.write('Successfully submitted current '
'revision %s of document %s' %
(document.current_revision.pk, document.pk))
submission = RevisionAkismetSubmission(
revision=document.current_revision,
sender=sender,
type=RevisionAkismetSubmission.SPAM_TYPE,
)
submission.save()