def calculate_metrics(self):
from apps.statistics.models import MStatistics
statistics = MStatistics.all()
return {
'feed_success': statistics['feeds_fetched'],
}
def calculate_metrics(self):
from apps.statistics.models import MStatistics
statistics = MStatistics.all()
return {
'feed_success': statistics['feeds_fetched'],
}
def dashboard_graphs(request):
statistics = MStatistics.all()
return render_to_response(
"statistics/render_statistics_graphs.xhtml",
{"statistics": statistics},
context_instance=RequestContext(request),
)
def index(request):
if request.method == "POST":
if request.POST['submit'] == 'login':
login_form = LoginForm(request.POST, prefix='login')
signup_form = SignupForm(prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(request.POST, prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(prefix='signup')
user = get_user(request)
authed = request.user.is_authenticated()
features = Feature.objects.all()[:3]
feature_form = FeatureForm() if request.user.is_staff else None
feed_count = UserSubscription.objects.filter(
user=request.user).count() if authed else 0
active_count = UserSubscription.objects.filter(
user=request.user, active=True).count() if authed else 0
train_count = UserSubscription.objects.filter(
user=request.user,
active=True,
is_trained=False,
feed__stories_last_month__gte=1).count() if authed else 0
recommended_feeds = RecommendedFeed.objects.filter(
is_public=True,
approved_date__lte=datetime.datetime.now()).select_related('feed')[:2]
unmoderated_feeds = RecommendedFeed.objects.filter(
is_public=False, declined_date__isnull=True).select_related('feed')[:2]
statistics = MStatistics.all()
feedbacks = MFeedback.all()
start_import_from_google_reader = request.session.get(
'import_from_google_reader', False)
if start_import_from_google_reader:
del request.session['import_from_google_reader']
return render_to_response(
'reader/feeds.xhtml', {
'user_profile': hasattr(user, 'profile') and user.profile,
'login_form': login_form,
'signup_form': signup_form,
'feature_form': feature_form,
'features': features,
'feed_count': feed_count,
'active_count': active_count,
'train_count': active_count - train_count,
'account_images': range(1, 4),
'recommended_feeds': recommended_feeds,
'unmoderated_feeds': unmoderated_feeds,
'statistics': statistics,
'feedbacks': feedbacks,
'start_import_from_google_reader': start_import_from_google_reader,
},
context_instance=RequestContext(request))
def index(request):
if request.method == "POST":
if request.POST['submit'] == 'login':
login_form = LoginForm(request.POST, prefix='login')
signup_form = SignupForm(prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(request.POST, prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(prefix='signup')
user = get_user(request)
features = Feature.objects.all()[:3]
feature_form = None
if request.user.is_staff:
feature_form = FeatureForm()
feed_count = 0
active_count = 0
train_count = 0
if request.user.is_authenticated():
feed_count = UserSubscription.objects.filter(user=request.user).count()
active_count = UserSubscription.objects.filter(user=request.user, active=True).count()
train_count = UserSubscription.objects.filter(user=request.user, active=True, is_trained=False, feed__stories_last_month__gte=1).count()
now = datetime.datetime.now()
recommended_feeds = RecommendedFeed.objects.filter(is_public=True, approved_date__lte=now).select_related('feed')[:2]
# recommended_feed_feedback = RecommendedFeedUserFeedback.objects.filter(recommendation=recommended_feed)
statistics = MStatistics.all()
howitworks_page = 0 # random.randint(0, 5)
return render_to_response('reader/feeds.xhtml', {
'user_profile': user.profile,
'login_form': login_form,
'signup_form': signup_form,
'feature_form': feature_form,
'features': features,
'start_import_from_google_reader': request.session.get('import_from_google_reader', False),
'howitworks_page': howitworks_page,
'feed_count': feed_count,
'active_count': active_count,
'train_count': active_count - train_count,
'account_images': range(1, 4),
'recommended_feeds': recommended_feeds,
'statistics': statistics,
# 'recommended_feed_feedback': recommended_feed_feedback,
}, context_instance=RequestContext(request))
def index(request):
if request.method == "POST":
if request.POST['submit'] == 'login':
login_form = LoginForm(request.POST, prefix='login')
signup_form = SignupForm(prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(request.POST, prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(prefix='signup')
user = get_user(request)
authed = request.user.is_authenticated()
features = Feature.objects.all()[:3]
feature_form = FeatureForm() if request.user.is_staff else None
feed_count = UserSubscription.objects.filter(user=request.user).count() if authed else 0
active_count = UserSubscription.objects.filter(user=request.user, active=True).count() if authed else 0
train_count = UserSubscription.objects.filter(user=request.user, active=True, is_trained=False, feed__stories_last_month__gte=1).count() if authed else 0
recommended_feeds = RecommendedFeed.objects.filter(is_public=True, approved_date__lte=datetime.datetime.now()).select_related('feed')[:2]
unmoderated_feeds = RecommendedFeed.objects.filter(is_public=False, declined_date__isnull=True).select_related('feed')[:2]
statistics = MStatistics.all()
feedbacks = MFeedback.all()
start_import_from_google_reader = request.session.get('import_from_google_reader', False)
if start_import_from_google_reader:
del request.session['import_from_google_reader']
return render_to_response('reader/feeds.xhtml', {
'user_profile' : hasattr(user, 'profile') and user.profile,
'login_form' : login_form,
'signup_form' : signup_form,
'feature_form' : feature_form,
'features' : features,
'feed_count' : feed_count,
'active_count' : active_count,
'train_count' : active_count - train_count,
'account_images' : range(1, 4),
'recommended_feeds' : recommended_feeds,
'unmoderated_feeds' : unmoderated_feeds,
'statistics' : statistics,
'feedbacks' : feedbacks,
'start_import_from_google_reader': start_import_from_google_reader,
}, context_instance=RequestContext(request))
def welcome(request, **kwargs):
user = get_user(request)
statistics = MStatistics.all()
social_profile = MSocialProfile.get_user(user.pk)
if request.method == "POST":
pass
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(prefix='signup')
return {
'user_profile': hasattr(user, 'profile') and user.profile,
'login_form': login_form,
'signup_form': signup_form,
'statistics': statistics,
'social_profile': social_profile,
'post_request': request.method == 'POST'
}, "reader/welcome.xhtml"
def get(self, request):
statistics = MStatistics.all()
data = {
'feed_success': statistics['feeds_fetched'],
}
chart_name = "errors"
chart_type = "counter"
formatted_data = {}
for k, v in data.items():
formatted_data[k] = f'feed_success {v}'
context = {
"data": formatted_data,
"chart_name": chart_name,
"chart_type": chart_type,
}
return render(request,
'monitor/prometheus_data.html',
context,
content_type="text/plain")
def dashboard(request, **kwargs):
user = request.user
feed_count = UserSubscription.objects.filter(user=user).count()
recommended_feeds = RecommendedFeed.objects.filter(is_public=True,
approved_date__lte=datetime.datetime.now()
).select_related('feed')[:2]
unmoderated_feeds = []
if user.is_staff:
unmoderated_feeds = RecommendedFeed.objects.filter(is_public=False,
declined_date__isnull=True
).select_related('feed')[:2]
statistics = MStatistics.all()
social_profile = MSocialProfile.get_user(user.pk)
start_import_from_google_reader = request.session.get('import_from_google_reader', False)
if start_import_from_google_reader:
del request.session['import_from_google_reader']
if not user.is_active:
url = "https://%s%s" % (Site.objects.get_current().domain,
reverse('stripe-form'))
return HttpResponseRedirect(url)
logging.user(request, "~FBLoading dashboard")
return {
'user_profile': user.profile,
'feed_count': feed_count,
'account_images': range(1,4),
'recommended_feeds': recommended_feeds,
'unmoderated_feeds': unmoderated_feeds,
'statistics': statistics,
'social_profile': social_profile,
'start_import_from_google_reader': start_import_from_google_reader,
'debug': settings.DEBUG
}, "reader/dashboard.xhtml"
def index(request):
if request.method == "POST":
if request.POST['submit'] == 'login':
login_form = LoginForm(request.POST, prefix='login')
signup_form = SignupForm(prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(request.POST, prefix='signup')
else:
login_form = LoginForm(prefix='login')
signup_form = SignupForm(prefix='signup')
user = get_user(request)
features = Feature.objects.all()[:3]
feature_form = None
if request.user.is_staff:
feature_form = FeatureForm()
feed_count = 0
active_count = 0
train_count = 0
if request.user.is_authenticated():
feed_count = UserSubscription.objects.filter(user=request.user).count()
active_count = UserSubscription.objects.filter(user=request.user,
active=True).count()
train_count = UserSubscription.objects.filter(
user=request.user,
active=True,
is_trained=False,
feed__stories_last_month__gte=1).count()
now = datetime.datetime.now()
recommended_feeds = RecommendedFeed.objects.filter(
is_public=True, approved_date__lte=now).select_related('feed')[:2]
# recommended_feed_feedback = RecommendedFeedUserFeedback.objects.filter(recommendation=recommended_feed)
statistics = MStatistics.all()
howitworks_page = 0 # random.randint(0, 5)
return render_to_response(
'reader/feeds.xhtml',
{
'user_profile':
user.profile,
'login_form':
login_form,
'signup_form':
signup_form,
'feature_form':
feature_form,
'features':
features,
'start_import_from_google_reader':
request.session.get('import_from_google_reader', False),
'howitworks_page':
howitworks_page,
'feed_count':
feed_count,
'active_count':
active_count,
'train_count':
active_count - train_count,
'account_images':
range(1, 4),
'recommended_feeds':
recommended_feeds,
'statistics':
statistics,
# 'recommended_feed_feedback': recommended_feed_feedback,
},
context_instance=RequestContext(request))
def dashboard_graphs(request):
statistics = MStatistics.all()
return render(request, 'statistics/render_statistics_graphs.xhtml',
{'statistics': statistics})
def dashboard_graphs(request):
statistics = MStatistics.all()
return render_to_response('statistics/render_statistics_graphs.xhtml', {
'statistics': statistics,
}, context_instance=RequestContext(request))
def dashboard_graphs(request):
statistics = MStatistics.all()
return render_to_response('statistics/render_statistics_graphs.xhtml', {
'statistics': statistics,
},
context_instance=RequestContext(request))
